How Internal Political Efficacy Translates Political Knowledge Into Political Participation

PubMed Central

Reichert, Frank

2016-01-01

This study presents evidence for the mediation effect of political knowledge through political self-efficacy (i.e. internal political efficacy) in the prediction of political participation. It employs an action theoretic approach—by and large grounded on the Theory of Planned Behaviour—and uses data from the German Longitudinal Election Study to examine whether political knowledge has distinct direct effects on voting, conventional, and/or unconventional political participation. It argues that political knowledge raises internal political efficacy and thereby indirectly increases the chance that a citizen will participate in politics. The results of mediated multiple regression analyses yield evidence that political knowledge indeed translates into internal political efficacy, thus it affects political participation of various kinds indirectly. However, internal political efficacy and intentions to participate politically yield simultaneous direct effects only on conventional political participation. Sequentially mediated effects appear for voting and conventional political participation, with political knowledge being mediated by internal political efficacy and subsequently also by behavioural intentions. The mediation patterns for unconventional political participation are less clear though. The discussion accounts for restrictions of this study and points to questions for answer by future research. PMID:27298633

Predictive Surface Complexation Modeling

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sverjensky, Dimitri A.

Surface complexation plays an important role in the equilibria and kinetics of processes controlling the compositions of soilwaters and groundwaters, the fate of contaminants in groundwaters, and the subsurface storage of CO 2 and nuclear waste. Over the last several decades, many dozens of individual experimental studies have addressed aspects of surface complexation that have contributed to an increased understanding of its role in natural systems. However, there has been no previous attempt to develop a model of surface complexation that can be used to link all the experimental studies in order to place them on a predictive basis. Overall,more » my research has successfully integrated the results of the work of many experimentalists published over several decades. For the first time in studies of the geochemistry of the mineral-water interface, a practical predictive capability for modeling has become available. The predictive correlations developed in my research now enable extrapolations of experimental studies to provide estimates of surface chemistry for systems not yet studied experimentally and for natural and anthropogenically perturbed systems.« less

Moral foundations and political attitudes: The moderating role of political sophistication.

PubMed

Milesi, Patrizia

2016-08-01

Political attitudes can be associated with moral concerns. This research investigated whether people's level of political sophistication moderates this association. Based on the Moral Foundations Theory, this article examined whether political sophistication moderates the extent to which reliance on moral foundations, as categories of moral concerns, predicts judgements about policy positions. With this aim, two studies examined four policy positions shown by previous research to be best predicted by the endorsement of Sanctity, that is, the category of moral concerns focused on the preservation of physical and spiritual purity. The results showed that reliance on Sanctity predicted political sophisticates' judgements, as opposed to those of unsophisticates, on policy positions dealing with equal rights for same-sex and unmarried couples and with euthanasia. Political sophistication also interacted with Fairness endorsement, which includes moral concerns for equal treatment of everybody and reciprocity, in predicting judgements about equal rights for unmarried couples, and interacted with reliance on Authority, which includes moral concerns for obedience and respect for traditional authorities, in predicting opposition to stem cell research. Those findings suggest that, at least for these particular issues, endorsement of moral foundations can be associated with political attitudes more strongly among sophisticates than unsophisticates. © 2015 International Union of Psychological Science.

Predicting Physical Interactions between Protein Complexes*

PubMed Central

Clancy, Trevor; Rødland, Einar Andreas; Nygard, Ståle; Hovig, Eivind

2013-01-01

Protein complexes enact most biochemical functions in the cell. Dynamic interactions between protein complexes are frequent in many cellular processes. As they are often of a transient nature, they may be difficult to detect using current genome-wide screens. Here, we describe a method to computationally predict physical interactions between protein complexes, applied to both humans and yeast. We integrated manually curated protein complexes and physical protein interaction networks, and we designed a statistical method to identify pairs of protein complexes where the number of protein interactions between a complex pair is due to an actual physical interaction between the complexes. An evaluation against manually curated physical complex-complex interactions in yeast revealed that 50% of these interactions could be predicted in this manner. A community network analysis of the highest scoring pairs revealed a biologically sensible organization of physical complex-complex interactions in the cell. Such analyses of proteomes may serve as a guide to the discovery of novel functional cellular relationships. PMID:23438732

Fostering marginalized youths' political participation: longitudinal roles of parental political socialization and youth sociopolitical development.

PubMed

Diemer, Matthew A

2012-09-01

This study examines the roles of parental political socialization and the moral commitment to change social inequalities in predicting marginalized youths' (defined here as lower-SES youth of color) political participation. These issues are examined by applying structural equation modeling to a longitudinal panel of youth. Because tests of measurement invariance suggested racial/ethnic heterogeneity, the structural model was fit separately for three racial/ethnic groups. For each group, parental political socialization: discussion predicted youths' commitment to produce social change and for two groups, longitudinally predicted political participation. This study contributes to the literature by examining civic/political participation among disparate racial/ethnic groups, addresses an open scholarly question (whether youths' commitment to create social change predicts their "traditional" participation), and emphasizes parents' role in fostering marginalized youths' civic and political participation.

Motivated independence? Implicit party identity predicts political judgments among self-proclaimed Independents.

PubMed

Hawkins, Carlee Beth; Nosek, Brian A

2012-11-01

Reporting an Independent political identity does not guarantee the absence of partisanship. Independents demonstrated considerable variability in relative identification with Republicans versus Democrats as measured by an Implicit Association Test (IAT; M = 0.10, SD = 0.47). To test whether this variation predicted political judgment, participants read a newspaper article describing two competing welfare (Study 1) or special education (Study 2) policies. The authors manipulated which policy was proposed by which party. Among self-proclaimed Independents, those who were implicitly Democratic preferred the liberal welfare plan, and those who were implicitly Republican preferred the conservative welfare plan. Regardless of the policy details, these implicit partisans preferred the policy proposed by "their" party, and this effect occurred more strongly for implicit than explicit plan preference. The authors suggest that implicitly partisan Independents may consciously override some partisan influence when making explicit political judgments, and Independents may identify as such to appear objective even when they are not.

Psychedelics, Personality and Political Perspectives.

PubMed

Nour, Matthew M; Evans, Lisa; Carhart-Harris, Robin L

2017-01-01

The psychedelic experience (including psychedelic-induced ego dissolution) can effect lasting change in a person's attitudes and beliefs. Here, we aimed to investigate the association between naturalistic psychedelic use and personality, political perspectives, and nature relatedness using an anonymous internet survey. Participants (N = 893) provided information about their naturalistic psychedelic, cocaine, and alcohol use, and answered questions relating to personality traits of openness and conscientiousness (Ten-Item Personality Inventory), nature relatedness (Nature-Relatedness Scale), and political attitudes (one-item liberalism-conservatism measure and five-item libertarian-authoritarian measure). Participants also rated the degree of ego dissolution experienced during their "most intense" recalled psychedelic experience (Ego-Dissolution Inventory). Multivariate linear regression analysis indicated that lifetime psychedelic use (but not lifetime cocaine use or weekly alcohol consumption) positively predicted liberal political views, openness and nature relatedness, and negatively predicted authoritarian political views, after accounting for potential confounding variables. Ego dissolution experienced during a participant's "most intense" psychedelic experience positively predicted liberal political views, openness and nature relatedness, and negatively predicted authoritarian political views. Further work is needed to investigate the nature of the relationship between the peak psychedelic experience and openness to new experiences, egalitarian political views, and concern for the environment.

Broad supernatural punishment but not moralizing high gods precede the evolution of political complexity in Austronesia

PubMed Central

Watts, Joseph; Greenhill, Simon J.; Atkinson, Quentin D.; Currie, Thomas E.; Bulbulia, Joseph; Gray, Russell D.

2015-01-01

Supernatural belief presents an explanatory challenge to evolutionary theorists—it is both costly and prevalent. One influential functional explanation claims that the imagined threat of supernatural punishment can suppress selfishness and enhance cooperation. Specifically, morally concerned supreme deities or ‘moralizing high gods' have been argued to reduce free-riding in large social groups, enabling believers to build the kind of complex societies that define modern humanity. Previous cross-cultural studies claiming to support the MHG hypothesis rely on correlational analyses only and do not correct for the statistical non-independence of sampled cultures. Here we use a Bayesian phylogenetic approach with a sample of 96 Austronesian cultures to test the MHG hypothesis as well as an alternative supernatural punishment hypothesis that allows punishment by a broad range of moralizing agents. We find evidence that broad supernatural punishment drives political complexity, whereas MHGs follow political complexity. We suggest that the concept of MHGs diffused as part of a suite of traits arising from cultural exchange between complex societies. Our results show the power of phylogenetic methods to address long-standing debates about the origins and functions of religion in human society. PMID:25740888

The symphony of the damned: racial discourse, complex political emergencies and humanitarian aid.

PubMed

Duffield, M

1996-09-01

This paper concerns the manner in which the West is responding to protracted political crises beyond its borders. It examines the conceptual world-view that aid agencies bring to complex emergencies and which shapes action. The paper provides an analysis of developmentalism. That is, the currently dominant idea of development which is an adapted form of multiculturalism. It is based on the empowerment of cultural differences and the relativisation of progress. As a variant of multiculturalism, developmentalism is part of Western racial discourse. In terms of understanding conflict, it establishes a mirror-image relationship with new rascist ideas premised on cultural pluralism inevitably leading to social breakdown, violence and anarchy. To the contrary, with its functional view of social harmony, libertine developmentalism claims that even unresolved political crisis constitutes a development opportunity. Developmentalism, like culturalism generally, is incapable of analysing power. It therefore cannot understand the effects and significance of its own organisational forms. Moreover, since the absence of power translates into operational neutrality in a war zone, it is also unable to analyse the nature of new political formations emerging in the global periphery. That is, the so-called weak or failed states, warlords and so on. This functional ignorance has allowed a widespread incorporation of humanitarian aid into the fabric of political violence. Developmentalism is an essential underpinning for the growing organisational accommodation to ongoing conflict and eroding standards of justice and accountability.

Broad supernatural punishment but not moralizing high gods precede the evolution of political complexity in Austronesia.

PubMed

Watts, Joseph; Greenhill, Simon J; Atkinson, Quentin D; Currie, Thomas E; Bulbulia, Joseph; Gray, Russell D

2015-04-07

Supernatural belief presents an explanatory challenge to evolutionary theorists-it is both costly and prevalent. One influential functional explanation claims that the imagined threat of supernatural punishment can suppress selfishness and enhance cooperation. Specifically, morally concerned supreme deities or 'moralizing high gods' have been argued to reduce free-riding in large social groups, enabling believers to build the kind of complex societies that define modern humanity. Previous cross-cultural studies claiming to support the MHG hypothesis rely on correlational analyses only and do not correct for the statistical non-independence of sampled cultures. Here we use a Bayesian phylogenetic approach with a sample of 96 Austronesian cultures to test the MHG hypothesis as well as an alternative supernatural punishment hypothesis that allows punishment by a broad range of moralizing agents. We find evidence that broad supernatural punishment drives political complexity, whereas MHGs follow political complexity. We suggest that the concept of MHGs diffused as part of a suite of traits arising from cultural exchange between complex societies. Our results show the power of phylogenetic methods to address long-standing debates about the origins and functions of religion in human society. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Predictable and Adaptable Complex Real-Time Systems

DTIC Science & Technology

1993-09-30

Predictable and Adaptable Complex Real - Time Systems Grant or Contract Number: N00014-92-J-1048 Reporting Period: 1 Oct 91 - 30 Sep 93 1... Real - Time Systems Grant or Contract Number: N00014-92-J-1048 Reporting Period: 1 Oct 91 - 30 Sep 93 2. Summary of Technical Progress Our...cs.umass.edu Grant or Contract Title: Predictable and Adaptable Complex Real - Time Systems Grant or Contract Number: N00014-92-J-1048 Reporting Period: 1 Oct 91

Astronomy and Politics

NASA Astrophysics Data System (ADS)

Steele, John M.

The relationship between astronomy and politics is a complex but important part of understanding the practice of astronomy throughout history. This chapter explores some of the ways that astronomy, astrology, and politics have interacted, placing particular focus on the way that astronomy and astrology have been used for political purposes by both people in power and people who wish to influence a ruler's policy. Also discussed are the effects that politics has had on the development of astronomy and, in particular, upon the recording and preservation of astronomical knowledge.

Menstrual Cycle Phase Does Not Predict Political Conservatism

PubMed Central

Scott, Isabel M.; Pound, Nicholas

2015-01-01

Recent authors have reported a relationship between women's fertility status, as indexed by menstrual cycle phase, and conservatism in moral, social and political values. We conducted a survey to test for the existence of a relationship between menstrual cycle day and conservatism. 2213 women reporting regular menstrual cycles provided data about their political views. Of these women, 2208 provided information about their cycle date, 1260 provided additional evidence of reliability in self-reported cycle date, and of these, 750 also indicated an absence of hormonal disruptors such as recent hormonal contraception use, breastfeeding or pregnancy. Cycle day was used to estimate day-specific fertility rate (probability of conception); political conservatism was measured via direct self-report and via responses to the "Moral Foundations” questionnaire. We also recorded relationship status, which has been reported to interact with menstrual cycle phase in determining political preferences. We found no evidence of a relationship between estimated cyclical fertility changes and conservatism, and no evidence of an interaction between relationship status and cyclical fertility in determining political attitudes. Our findings were robust to multiple inclusion/exclusion criteria and to different methods of estimating fertility and measuring conservatism. In summary, the relationship between cycle-linked reproductive parameters and conservatism may be weaker or less reliable than previously thought. PMID:25923332

Menstrual cycle phase does not predict political conservatism.

PubMed

Scott, Isabel M; Pound, Nicholas

2015-01-01

Recent authors have reported a relationship between women's fertility status, as indexed by menstrual cycle phase, and conservatism in moral, social and political values. We conducted a survey to test for the existence of a relationship between menstrual cycle day and conservatism. 2213 women reporting regular menstrual cycles provided data about their political views. Of these women, 2208 provided information about their cycle date, 1260 provided additional evidence of reliability in self-reported cycle date, and of these, 750 also indicated an absence of hormonal disruptors such as recent hormonal contraception use, breastfeeding or pregnancy. Cycle day was used to estimate day-specific fertility rate (probability of conception); political conservatism was measured via direct self-report and via responses to the "Moral Foundations" questionnaire. We also recorded relationship status, which has been reported to interact with menstrual cycle phase in determining political preferences. We found no evidence of a relationship between estimated cyclical fertility changes and conservatism, and no evidence of an interaction between relationship status and cyclical fertility in determining political attitudes. Our findings were robust to multiple inclusion/exclusion criteria and to different methods of estimating fertility and measuring conservatism. In summary, the relationship between cycle-linked reproductive parameters and conservatism may be weaker or less reliable than previously thought.

Individualism, conservatism, and radicalism as criteria for processing political beliefs: a parametric fMRI study.

PubMed

Zamboni, Giovanna; Gozzi, Marta; Krueger, Frank; Duhamel, Jean-René; Sirigu, Angela; Grafman, Jordan

2009-01-01

Politics is a manifestation of the uniquely human ability to debate, decide, and reach consensus on decisions affecting large groups over long durations of time. Recent neuroimaging studies on politics have focused on the association between brain regions and specific political behaviors by adopting party or ideological affiliation as a criterion to classify either experimental stimuli or subjects. However, it is unlikely that complex political beliefs (i.e., "the government should protect freedom of speech") are evaluated only on a liberal-to-conservative criterion. Here we used multidimensional scaling and parametric functional magnetic resonance imaging to identify which criteria/dimensions people use to structure complex political beliefs and which brain regions are concurrently activated. We found that three independent dimensions explained the variability of a set of statements expressing political beliefs and that each dimension was reflected in a distinctive pattern of neural activation: individualism (medial prefrontal cortex and temporoparietal junction), conservatism (dorsolateral prefrontal cortex), and radicalism (ventral striatum and posterior cingulate). The structures we identified are also known to be important in self-other processing, social decision-making in ambivalent situations, and reward prediction. Our results extend current knowledge on the neural correlates of the structure of political beliefs, a fundamental aspect of the human ability to coalesce into social entities.

Why achievement motivation predicts success in business but failure in politics: the importance of personal control.

PubMed

Winter, David G

2010-12-01

Several decades of research have established that implicit achievement motivation (n Achievement) is associated with success in business, particularly in entrepreneurial or sales roles. However, several political psychology studies have shown that achievement motivation is not associated with success in politics; rather, implicit power motivation often predicts political success. Having versus lacking control may be a key difference between business and politics. Case studies suggest that achievement-motivated U.S. presidents and other world leaders often become frustrated and thereby fail because of lack of control, whereas power-motivated presidents develop ways to work with this inherent feature of politics. A reevaluation of previous research suggests that, in fact, relationships between achievement motivation and business success only occur when control is high. The theme of control is also prominent in the development of achievement motivation. Cross-national data are also consistent with this analysis: In democratic industrialized countries, national levels of achievement motivation are associated with strong executive control. In countries with low opportunity for education (thus fewer opportunities to develop a sense of personal control), achievement motivation is associated with internal violence. Many of these manifestations of frustrated achievement motivation in politics resemble authoritarianism. This conclusion is tested by data from a longitudinal study of 113 male college students, showing that high initial achievement motivation combined with frustrated desires for control is related to increases in authoritarianism (F-scale scores) during the college years. Implications for the psychology of leadership and practical politics are discussed. © 2010 The Author. Journal of Personality © 2010, Wiley Periodicals, Inc.

On medicine and politics.

PubMed Central

Krakauer, E.

1992-01-01

This paper explores the relationship between medicine and politics, between medical management of the human body and governmental management of the body politic. It argues that the increasing complexity both of society and of governmental administration of society in the modern age has made it impossible completely to separate medicine from politics. It demonstrates that, along with great potential for social benefit, "medico-politics" brought with it great danger; much harm has been done purportedly to heal the body politic. The paper concludes by suggesting a way for physicians to minimize this danger. Images FIG. 1 PMID:1285451

Burden of injury during the complex political emergency in northern Uganda

PubMed Central

Lett, Ronald R.; Kobusingye, Olive Chifefe; Ekwaru, Paul

2006-01-01

Background War injury is a public health problem that warrants global attention. This study aims to determine the burden of injury during a complex emergency in sub-Saharan Africa. Methods To determine the magnitude, causes, distribution, risk factors and cumulative burden of injury in a population experiencing armed conflict in northern Uganda since 1986 and to evaluate the living conditions and access to care for injury victims, we took a multistage, stratified, random sampling from the Gulu district to determine the rates of injury from 1994 to 1999. The Gulu district is endemic for malaria, tuberculosis, HIV and malnutrition and has a high maternal death rate. It is 1 of 3 districts in northern Uganda affected by war since 1986. The study participants included 8595 people from 1475 households. Of these, 73.0% lived in temporary housing, 46.0% were internally displaced and 81.0% were under 35 years of age. Trained interviewers administered a 3-part household survey in the local language. Quantitative data on injury, household environment, health care and demography were analyzed. Qualitative data from part 3 of the survey will be reported elsewhere. A similar rural district (Mukono) not affected by war was used for comparison. We studied injury risk factors, mortality and disability rates, accumulated deaths, access to care and living conditions. Results Of the study population, 14% were injured annually: gunshot injuries were the leading cause of death. The annual death rate from war injury was 7.8/1000 (95% confidence interval [CI] 7.0–8.5) and the disability rate was 11.3/1000 (95% CI 10.4–12.2). The annual excess injury mortality was 6.85/1000. Only 4.5% of the injured were combatants. Fifty percent of the injured received first aid, but only 13.0% of those who died reached hospital. The injury mortality in Gulu was 8.35-fold greater than that for Mukono. Conclusions The crisis in Gulu can be considered a complex political emergency. Protracted conflicts

Pseudoracemic amino acid complexes: blind predictions for flexible two-component crystals.

PubMed

Görbitz, Carl Henrik; Dalhus, Bjørn; Day, Graeme M

2010-08-14

Ab initio prediction of the crystal packing in complexes between two flexible molecules is a particularly challenging computational chemistry problem. In this work we present results of single crystal structure determinations as well as theoretical predictions for three 1 ratio 1 complexes between hydrophobic l- and d-amino acids (pseudoracemates), known from previous crystallographic work to form structures with one of two alternative hydrogen bonding arrangements. These are accurately reproduced in the theoretical predictions together with a series of patterns that have never been observed experimentally. In this bewildering forest of potential polymorphs, hydrogen bonding arrangements and molecular conformations, the theoretical predictions succeeded, for all three complexes, in finding the correct hydrogen bonding pattern. For two of the complexes, the calculations also reproduce the exact space group and side chain orientations in the best ranked predicted structure. This includes one complex for which the observed crystal packing clearly contradicted previous experience based on experimental data for a substantial number of related amino acid complexes. The results highlight the significant recent advances that have been made in computational methods for crystal structure prediction.

The Rebirth of Political Socialization.

ERIC Educational Resources Information Center

Niemi, Richard G.; Hepburn, Mary A.

1995-01-01

Maintains that research on political socialization began in the late 1950s and died a premature death in the 1970s. Discusses the field's origins and downfall, and predicts a rebirth in a new and sustainable form. Outlines changes in secondary school political science education and political socialization research in other nations. (CFR)

A trauma-like model of political extremism: psycho-political fault lines in Israel.

PubMed

Laor, Nathaniel; Yanay-Shani, Alma; Wolmer, Leo; Khoury, Oula

2010-10-01

This study examines a trauma-like model of potentially violent political extremism among Jewish Israelis. We study the psychosocial characteristics of political extremists that may lie at the root of sociopolitical instability and assess personal (gender, stressful life events, Holocaust family background, and political activism) and psychological parameters (self- and political transcendence, perceived political threats, in/out-group identification ratio) that may predict readiness to engage in destructive political behavior. We examine the ideological zeal of various political groups, the relationship between the latter and perceived political threats, and the predictors of extreme political activism. Results showed that the extreme political poles displayed high level of ideological and morbid transcendence. Right extremists displayed higher perceived threats to physical existence and national identity. Left extremists scored highest on perceived moral integrity threat. Higher perceived threats to national identity and moral integrity, risk, and self-transcendence statistically explain morbid transcendence. When fear conjures up extremely skewed sociopolitical identifications across political boundaries, morbid transcendence may manifest itself in destructive political activity. © 2010 Association for Research in Nervous and Mental Disease.

The Politics of Youthful Antipolitics: Representing the "Issue" of Youth Participation in Politics

ERIC Educational Resources Information Center

Farthing, Rys

2010-01-01

Young people's relationship with contemporary politics is complex and often problematized. They are often chastised as the apolitical harbingers of an incipient "crisis of democracy" while simultaneously heralded as the authors of sophisticated new forms of politics, most notably within electronic realms. Previous literature examining…

Poly-Omic Prediction of Complex Traits: OmicKriging

PubMed Central

Wheeler, Heather E.; Aquino-Michaels, Keston; Gamazon, Eric R.; Trubetskoy, Vassily V.; Dolan, M. Eileen; Huang, R. Stephanie; Cox, Nancy J.; Im, Hae Kyung

2014-01-01

High-confidence prediction of complex traits such as disease risk or drug response is an ultimate goal of personalized medicine. Although genome-wide association studies have discovered thousands of well-replicated polymorphisms associated with a broad spectrum of complex traits, the combined predictive power of these associations for any given trait is generally too low to be of clinical relevance. We propose a novel systems approach to complex trait prediction, which leverages and integrates similarity in genetic, transcriptomic, or other omics-level data. We translate the omic similarity into phenotypic similarity using a method called Kriging, commonly used in geostatistics and machine learning. Our method called OmicKriging emphasizes the use of a wide variety of systems-level data, such as those increasingly made available by comprehensive surveys of the genome, transcriptome, and epigenome, for complex trait prediction. Furthermore, our OmicKriging framework allows easy integration of prior information on the function of subsets of omics-level data from heterogeneous sources without the sometimes heavy computational burden of Bayesian approaches. Using seven disease datasets from the Wellcome Trust Case Control Consortium (WTCCC), we show that OmicKriging allows simple integration of sparse and highly polygenic components yielding comparable performance at a fraction of the computing time of a recently published Bayesian sparse linear mixed model method. Using a cellular growth phenotype, we show that integrating mRNA and microRNA expression data substantially increases performance over either dataset alone. Using clinical statin response, we show improved prediction over existing methods. PMID:24799323

Construction of ontology augmented networks for protein complex prediction.

PubMed

Zhang, Yijia; Lin, Hongfei; Yang, Zhihao; Wang, Jian

2013-01-01

Protein complexes are of great importance in understanding the principles of cellular organization and function. The increase in available protein-protein interaction data, gene ontology and other resources make it possible to develop computational methods for protein complex prediction. Most existing methods focus mainly on the topological structure of protein-protein interaction networks, and largely ignore the gene ontology annotation information. In this article, we constructed ontology augmented networks with protein-protein interaction data and gene ontology, which effectively unified the topological structure of protein-protein interaction networks and the similarity of gene ontology annotations into unified distance measures. After constructing ontology augmented networks, a novel method (clustering based on ontology augmented networks) was proposed to predict protein complexes, which was capable of taking into account the topological structure of the protein-protein interaction network, as well as the similarity of gene ontology annotations. Our method was applied to two different yeast protein-protein interaction datasets and predicted many well-known complexes. The experimental results showed that (i) ontology augmented networks and the unified distance measure can effectively combine the structure closeness and gene ontology annotation similarity; (ii) our method is valuable in predicting protein complexes and has higher F1 and accuracy compared to other competing methods.

Prediction in complex systems: The case of the international trade network

NASA Astrophysics Data System (ADS)

Vidmer, Alexandre; Zeng, An; Medo, Matúš; Zhang, Yi-Cheng

2015-10-01

Predicting the future evolution of complex systems is one of the main challenges in complexity science. Based on a current snapshot of a network, link prediction algorithms aim to predict its future evolution. We apply here link prediction algorithms to data on the international trade between countries. This data can be represented as a complex network where links connect countries with the products that they export. Link prediction techniques based on heat and mass diffusion processes are employed to obtain predictions for products exported in the future. These baseline predictions are improved using a recent metric of country fitness and product similarity. The overall best results are achieved with a newly developed metric of product similarity which takes advantage of causality in the network evolution.

Morality and politics: Comparing alternate theories.

PubMed

Miles, Andrew; Vaisey, Stephen

2015-09-01

Debates about the American "culture wars" have led scholars to develop several theories relating morality to political attitudes and behaviors. However, researchers have not adequately compared these theories, nor have they examined the overall contribution of morality to explaining political variation. This study uses nationally representative data to compare the utility of 19 moral constructs from four research traditions - associated with the work of Hunter, Lakoff, Haidt, and Schwartz - for predicting political orientation (liberalism/conservatism). Results indicate that morality explains a third of the variation in political orientation - more than basic demographic and religious predictors - but that no one theory provides a fully adequate explanation of this phenomenon. Instead, political orientation is best predicted by selected moral constructs that are unique to each of the four traditions, and by two moral constructs that crosscut them. Future work should investigate how these moral constructs can be synthesized to create a more comprehensive theory of morality and politics. Copyright © 2015 Elsevier Inc. All rights reserved.

Nonpolitical Images Evoke Neural Predictors of Political Ideology

PubMed Central

Ahn, Woo-Young; Kishida, Kenneth T.; Gu, Xiaosi; Lohrenz, Terry; Harvey, Ann; Alford, John R.; Smith, Kevin B.; Yaffe, Gideon; Hibbing, John R.; Dayan, Peter; Montague, P. Read

2014-01-01

Summary Political ideologies summarize dimensions of life that define how a person organizes their public and private behavior, including their attitudes associated with sex, family, education, and personal autonomy [1, 2]. Despite the abstract nature of such sensibilities, fundamental features of political ideology have been found to be deeply connected to basic biological mechanisms [3–7] that may serve to defend against environmental challenges like contamination and physical threat [8–12]. These results invite the provocative claim that neural responses to nonpolitical stimuli (like contaminated food or physical threats) should be highly predictive of abstract political opinions (like attitudes toward gun control and abortion) [13]. We applied a machine-learning method to fMRI data to test the hypotheses that brain responses to emotionally evocative images predict individual scores on a standard political ideology assay. Disgusting images, especially those related to animal-reminder disgust (e.g., mutilated body), generate neural responses that are highly predictive of political orientation even though these neural predictors do not agree with participants’ conscious rating of the stimuli. Images from other affective categories do not support such predictions. Remarkably, brain responses to a single disgusting stimulus were sufficient to make accurate predictions about an individual subject’s political ideology. These results provide strong support for the idea that fundamental neural processing differences that emerge under the challenge of emotionally evocative stimuli may serve to structure political beliefs in ways formerly unappreciated. PMID:25447997

Nonpolitical images evoke neural predictors of political ideology.

PubMed

Ahn, Woo-Young; Kishida, Kenneth T; Gu, Xiaosi; Lohrenz, Terry; Harvey, Ann; Alford, John R; Smith, Kevin B; Yaffe, Gideon; Hibbing, John R; Dayan, Peter; Montague, P Read

2014-11-17

Political ideologies summarize dimensions of life that define how a person organizes their public and private behavior, including their attitudes associated with sex, family, education, and personal autonomy. Despite the abstract nature of such sensibilities, fundamental features of political ideology have been found to be deeply connected to basic biological mechanisms that may serve to defend against environmental challenges like contamination and physical threat. These results invite the provocative claim that neural responses to nonpolitical stimuli (like contaminated food or physical threats) should be highly predictive of abstract political opinions (like attitudes toward gun control and abortion). We applied a machine-learning method to fMRI data to test the hypotheses that brain responses to emotionally evocative images predict individual scores on a standard political ideology assay. Disgusting images, especially those related to animal-reminder disgust (e.g., mutilated body), generate neural responses that are highly predictive of political orientation even though these neural predictors do not agree with participants' conscious rating of the stimuli. Images from other affective categories do not support such predictions. Remarkably, brain responses to a single disgusting stimulus were sufficient to make accurate predictions about an individual subject's political ideology. These results provide strong support for the idea that fundamental neural processing differences that emerge under the challenge of emotionally evocative stimuli may serve to structure political beliefs in ways formerly unappreciated. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

A material political economy: Automated Trading Desk and price prediction in high-frequency trading.

PubMed

MacKenzie, Donald

2017-04-01

This article contains the first detailed historical study of one of the new high-frequency trading (HFT) firms that have transformed many of the world's financial markets. The study, of Automated Trading Desk (ATD), one of the earliest and most important such firms, focuses on how ATD's algorithms predicted share price changes. The article argues that political-economic struggles are integral to the existence of some of the 'pockets' of predictable structure in the otherwise random movements of prices, to the availability of the data that allow algorithms to identify these pockets, and to the capacity of algorithms to use these predictions to trade profitably. The article also examines the role of HFT algorithms such as ATD's in the epochal, fiercely contested shift in US share trading from 'fixed-role' markets towards 'all-to-all' markets.

The Political Self: How Identity Aligns Preferences With Epistemic Needs.

PubMed

Federico, Christopher M; Ekstrom, Pierce D

2018-06-01

Numerous studies have indicated that the need for closure predicts political preferences. We examined a potential moderator of this relationship: political-identity centrality, or the extent to which individuals' political preferences are central to their self-concept. We tested three hypotheses. First, we predicted that need for closure would be more strongly related to political identity (symbolic ideology and party identification; Hypothesis 1) and issue positions (operational ideology; Hypothesis 2) among individuals who see their political preferences as more self-central. Then we predicted that the stronger relationship between need for closure and issue positions among individuals high in centrality would be accounted for by stronger relationships between need for closure and political identity and between political identity and issue positions (Hypothesis 3). Data from a nationally representative survey provide evidence for these hypotheses, suggesting that the relationship between epistemic needs and political preferences differs as a function of how self-relevant politics is.

Political consumer behaviour among university students in Brazil and Germany: The role of contextual features and core political values.

PubMed

Kotzur, Patrick F; Torres, Cláudio V; Kedzior, Karina K; Boehnke, Klaus

2017-04-01

This study investigates the relationship between political consumerism and core political values (CPVs) among university students in Brazil (N = 414) and Germany (N = 222). Despite the prerequisite to endorse values that are compatible with political consumerism, contextual features of one's immediate environment might affect overall levels of political consumerism. Our results show that political consumerism is significantly associated with higher income in Brazil (but not in Germany). After controlling for income, political consumerism was practised more frequently in Germany than in Brazil, in urban compared with rural areas, and was not dependent on gender. The urban-rural split was stronger in Brazil than in Germany. These results confirm our hypothesis that contextual features are associated with political consumerism. Furthermore, the political value Equality positively predicted political consumerism in both countries. In contrast, Traditional Morality and support of Free Enterprise negatively predicted political consumerism, although the effect sizes of these relationships were only small. These results suggest that political consumerism among university students is widespread in Germany but not in Brazil. Interestingly, regardless of its low prevalence in Brazil, political consumerism is positively associated with the CPV of Equality among university students in both countries. © 2015 International Union of Psychological Science.

Sex Complexity and Politics in Black Dogs by Ian McEwan

NASA Astrophysics Data System (ADS)

Abbasiyannejad, Mina; Talif, Rosli

Ian McEwan's Black Dogs (BD) is a story of socio-political conflict during the critical era of the Cold War. Black Dogs is riddled with party (political) domination and its outcomes in society. Europe is still suffering the consequences of the Second World War, perhaps the biggest war of the twentieth century. In the aftermath of such worldwide upheaval, the conflicts that were in tandem with the scramble for political domination emerged in diverse ways, affecting nations and their human populations. Systematic sexual assault during the war years showed that sex was used both for intimidation and humiliation. This study attempts to picture the multidimensional aspects of politics which are practically related to the most intimate human relationship, that is, sex. It pictures how personal is equated with the political and vice versa. The theory of sexual politics is the theoretical framework used to scrutinize power-structure relationship. By reviewing the major conflicts in such a scenario, as the Cold War, and societal restriction, this study concludes that conflict in the macrocosm (world and society) affects the microcosm (individual) in McEwan's Black Dogs. It provides a rather broad picture of politics and sexuality and highlights the stresses of wider society on human dysfunctional relationships. Rape as a tactic of war for a political goal demonstrates another aspect of sex. Reviewing the period in which the story takes place and relating it to the conflicts in society, the study goes beyond simple cause and effect problems among individuals and portrays a holistic view of sexuality and society.

Social and economic ideologies differentially predict prejudice across the political spectrum, but social issues are most divisive.

PubMed

Crawford, Jarret T; Brandt, Mark J; Inbar, Yoel; Chambers, John R; Motyl, Matt

2017-03-01

Liberals and conservatives both express prejudice toward ideologically dissimilar others (Brandt et al., 2014). Previous work on ideological prejudice did not take advantage of evidence showing that ideology is multidimensional, with social and economic ideologies representing related but separable belief systems. In 5 studies (total N = 4912), we test 3 competing hypotheses of a multidimensional account of ideological prejudice. The dimension-specific symmetry hypothesis predicts that social and economic ideologies differentially predict prejudice against targets who are perceived to vary on the social and economic political dimensions, respectively. The social primacy hypothesis predicts that such ideological worldview conflict is experienced more strongly along the social than economic dimension. The social-specific asymmetry hypothesis predicts that social conservatives will be more prejudiced than social liberals, with no specific hypotheses for the economic dimension. Using multiple target groups, multiple prejudice measures (e.g., global evaluations, behavior), and multiple social and economic ideology measures (self-placement, issue positions), we found relatively consistent support for the dimension-specific symmetry and social primacy hypotheses, and no support for the social-specific asymmetry hypothesis. These results suggest that worldview conflict and negative intergroup attitudes and behaviors are dimension-specific, but that the social dimension appears to inspire more political conflict than the economic dimension. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

A New Stress-Based Model of Political Extremism: Personal Exposure to Terrorism, Psychological Distress, and Exclusionist Political Attitudes.

PubMed

Canetti-Nisim, Daphna; Halperin, Eran; Sharvit, Keren; Hobfoll, Stevan E

2009-06-01

Does exposure to terrorism lead to hostility toward minorities? Drawing on theories from clinical and social psychology, we propose a stress-based model of political extremism in which psychological distress-which is largely overlooked in political scholarship-and threat perceptions mediate the relationship between exposure to terrorism and attitudes toward minorities. To test the model, a representative sample of 469 Israeli Jewish respondents was interviewed on three occasions at six-month intervals. Structural Equation Modeling indicated that exposure to terrorism predicted psychological distress (t1), which predicted perceived threat from Palestinian citizens of Israel (t2), which, in turn, predicted exclusionist attitudes toward Palestinian citizens of Israel (t3). These findings provide solid evidence and a mechanism for the hypothesis that terrorism introduces nondemocratic attitudes threatening minority rights. It suggests that psychological distress plays an important role in political decision making and should be incorporated in models drawing upon political psychology.

Predicting links based on knowledge dissemination in complex network

NASA Astrophysics Data System (ADS)

Zhou, Wen; Jia, Yifan

2017-04-01

Link prediction is the task of mining the missing links in networks or predicting the next vertex pair to be connected by a link. A lot of link prediction methods were inspired by evolutionary processes of networks. In this paper, a new mechanism for the formation of complex networks called knowledge dissemination (KD) is proposed with the assumption of knowledge disseminating through the paths of a network. Accordingly, a new link prediction method-knowledge dissemination based link prediction (KDLP)-is proposed to test KD. KDLP characterizes vertex similarity based on knowledge quantity (KQ) which measures the importance of a vertex through H-index. Extensive numerical simulations on six real-world networks demonstrate that KDLP is a strong link prediction method which performs at a higher prediction accuracy than four well-known similarity measures including common neighbors, local path index, average commute time and matrix forest index. Furthermore, based on the common conclusion that an excellent link prediction method reveals a good evolving mechanism, the experiment results suggest that KD is a considerable network evolving mechanism for the formation of complex networks.

Protein complex prediction in large ontology attributed protein-protein interaction networks.

PubMed

Zhang, Yijia; Lin, Hongfei; Yang, Zhihao; Wang, Jian; Li, Yanpeng; Xu, Bo

2013-01-01

Protein complexes are important for unraveling the secrets of cellular organization and function. Many computational approaches have been developed to predict protein complexes in protein-protein interaction (PPI) networks. However, most existing approaches focus mainly on the topological structure of PPI networks, and largely ignore the gene ontology (GO) annotation information. In this paper, we constructed ontology attributed PPI networks with PPI data and GO resource. After constructing ontology attributed networks, we proposed a novel approach called CSO (clustering based on network structure and ontology attribute similarity). Structural information and GO attribute information are complementary in ontology attributed networks. CSO can effectively take advantage of the correlation between frequent GO annotation sets and the dense subgraph for protein complex prediction. Our proposed CSO approach was applied to four different yeast PPI data sets and predicted many well-known protein complexes. The experimental results showed that CSO was valuable in predicting protein complexes and achieved state-of-the-art performance.

Predictive hypotheses are ineffectual in resolving complex biochemical systems.

PubMed

Fry, Michael

2018-03-20

Scientific hypotheses may either predict particular unknown facts or accommodate previously-known data. Although affirmed predictions are intuitively more rewarding than accommodations of established facts, opinions divide whether predictive hypotheses are also epistemically superior to accommodation hypotheses. This paper examines the contribution of predictive hypotheses to discoveries of several bio-molecular systems. Having all the necessary elements of the system known beforehand, an abstract predictive hypothesis of semiconservative mode of DNA replication was successfully affirmed. However, in defining the genetic code whose biochemical basis was unclear, hypotheses were only partially effective and supplementary experimentation was required for its conclusive definition. Markedly, hypotheses were entirely inept in predicting workings of complex systems that included unknown elements. Thus, hypotheses did not predict the existence and function of mRNA, the multiple unidentified components of the protein biosynthesis machinery, or the manifold unknown constituents of the ubiquitin-proteasome system of protein breakdown. Consequently, because of their inability to envision unknown entities, predictive hypotheses did not contribute to the elucidation of cation theories remained the sole instrument to explain complex bio-molecular systems, the philosophical question of alleged advantage of predictive over accommodative hypotheses became inconsequential.

Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.

PubMed

Srinivasulu, Yerukala Sathipati; Wang, Jyun-Rong; Hsu, Kai-Ti; Tsai, Ming-Ju; Charoenkwan, Phasit; Huang, Wen-Lin; Huang, Hui-Ling; Ho, Shinn-Ying

2015-01-01

Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been developed for predicting the binding affinity of protein-protein complexes based on structure and functional information. This work aims to predict the binding affinity of heterodimeric protein complexes from sequences only. This work proposes a support vector machine (SVM) based binding affinity classifier, called SVM-BAC, to classify heterodimeric protein complexes based on the prediction of their binding affinity. SVM-BAC identified 14 of 580 sequence descriptors (physicochemical, energetic and conformational properties of the 20 amino acids) to classify 216 heterodimeric protein complexes into low and high binding affinity. SVM-BAC yielded the training accuracy, sensitivity, specificity, AUC and test accuracy of 85.80%, 0.89, 0.83, 0.86 and 83.33%, respectively, better than existing machine learning algorithms. The 14 features and support vector regression were further used to estimate the binding affinities (Pkd) of 200 heterodimeric protein complexes. Prediction performance of a Jackknife test was the correlation coefficient of 0.34 and mean absolute error of 1.4. We further analyze three informative physicochemical properties according to their contribution to prediction performance. Results reveal that the following properties are effective in predicting the binding affinity of heterodimeric protein complexes: apparent partition energy based on buried molar fractions, relations between chemical structure and biological activity in principal component analysis IV, and normalized frequency of beta turn. The proposed sequence-based prediction method SVM-BAC uses an optimal feature selection method to identify 14 informative features to classify and predict binding affinity of heterodimeric protein complexes. The characterization

Prediction of heterotrimeric protein complexes by two-phase learning using neighboring kernels

PubMed Central

2014-01-01

Background Protein complexes play important roles in biological systems such as gene regulatory networks and metabolic pathways. Most methods for predicting protein complexes try to find protein complexes with size more than three. It, however, is known that protein complexes with smaller sizes occupy a large part of whole complexes for several species. In our previous work, we developed a method with several feature space mappings and the domain composition kernel for prediction of heterodimeric protein complexes, which outperforms existing methods. Results We propose methods for prediction of heterotrimeric protein complexes by extending techniques in the previous work on the basis of the idea that most heterotrimeric protein complexes are not likely to share the same protein with each other. We make use of the discriminant function in support vector machines (SVMs), and design novel feature space mappings for the second phase. As the second classifier, we examine SVMs and relevance vector machines (RVMs). We perform 10-fold cross-validation computational experiments. The results suggest that our proposed two-phase methods and SVM with the extended features outperform the existing method NWE, which was reported to outperform other existing methods such as MCL, MCODE, DPClus, CMC, COACH, RRW, and PPSampler for prediction of heterotrimeric protein complexes. Conclusions We propose two-phase prediction methods with the extended features, the domain composition kernel, SVMs and RVMs. The two-phase method with the extended features and the domain composition kernel using SVM as the second classifier is particularly useful for prediction of heterotrimeric protein complexes. PMID:24564744

The Complexity of Developmental Predictions from Dual Process Models

ERIC Educational Resources Information Center

Stanovich, Keith E.; West, Richard F.; Toplak, Maggie E.

2011-01-01

Drawing developmental predictions from dual-process theories is more complex than is commonly realized. Overly simplified predictions drawn from such models may lead to premature rejection of the dual process approach as one of many tools for understanding cognitive development. Misleading predictions can be avoided by paying attention to several…

Political participation of registered nurses.

PubMed

Vandenhouten, Christine L; Malakar, Crystalmichelle L; Kubsch, Sylvia; Block, Derryl E; Gallagher-Lepak, Susan

2011-08-01

Level of political participation and factors contributing to participation were measured among Midwest RNs (n = 468) via an online survey (Cronbach's α = .95). Respondents reported engaging in primarily "low cost" activities (e.g., voting, discussing politics, and contacting elected officials), with fewer reporting speaking at public gatherings, participating in demonstrations, and membership in nursing organizations. Psychological engagement was most predictive (p < .001) of political participation with the dimensions of political interest, political efficacy, and political information/knowledge highly significant (p < .001). Resources (time/money/civic skills) significantly contributed to political participation (p < .001). Less than half (40%) felt they could impact local decisions, and fewer (32%) felt they could impact state or national government decisions. Most respondents (80%) indicated their nursing courses lacked political content and did not prepare them for political participation. Findings showed that nurse educators and leaders of professional nursing organizations need to model and cultivate greater psychological engagement among students and nurses.

The multidimensional politics of inequality: taking stock of identity politics in the U.S. Presidential election of 2016.

PubMed

McCall, Leslie; Orloff, Ann Shola

2017-11-01

Many Democrats hoped that a particular kind of identity politics - women's - would help Hillary Clinton win the White House. In the aftermath of the election, some commentators bemoaned the fact that a majority of white women had voted for Trump, and called it a kind of betrayal, underlining their expectation that women would naturally, on the basis of their gender identity, support a woman with women-friendly politics. Indeed, this kind of thinking about identity politics has been widespread with reference to a number of demographic groups. Meanwhile, identity politics is lamented from the right and left by those who favour a greater emphasis on class-based inequalities, or a greater national identity, some of whom blame identity politics for spawning or justifying a backlash of right-leaning populism in the US. We argue for a turn to a more robust definition of identity as multidimensional and politically mediated for understanding political alignments over the past several decades. The multidimensionality of inequality - intersectionality or complex inequality - is widely accepted in the study of gender and race across the social science disciplines but has yet to be as successfully integrated into studies of electoral politics. Thinking about women's positioning in systems of complex inequality, and how the political parties have or have not articulated the concerns of different groups of women, helps us to understand the 2016 election, as well as past and potentially future political developments. © London School of Economics and Political Science 2017.

Organizational Political Tactics in Universities

ERIC Educational Resources Information Center

Nejad, Bahareh Azizi; Abbaszadeh, Mir Mohammad Seiied; Hassani, Mohammad

2011-01-01

The present research aimed to promote understanding of political tactics in organizations. Political behavior in nowadays-complex conditions is a process that the conflicts, contrasts and differences among interested groups are resolved. It means dialogue, attention to different goals in organizations, regarding the interest of different groups,…

ComplexContact: a web server for inter-protein contact prediction using deep learning.

PubMed

Zeng, Hong; Wang, Sheng; Zhou, Tianming; Zhao, Feifeng; Li, Xiufeng; Wu, Qing; Xu, Jinbo

2018-05-22

ComplexContact (http://raptorx2.uchicago.edu/ComplexContact/) is a web server for sequence-based interfacial residue-residue contact prediction of a putative protein complex. Interfacial residue-residue contacts are critical for understanding how proteins form complex and interact at residue level. When receiving a pair of protein sequences, ComplexContact first searches for their sequence homologs and builds two paired multiple sequence alignments (MSA), then it applies co-evolution analysis and a CASP-winning deep learning (DL) method to predict interfacial contacts from paired MSAs and visualizes the prediction as an image. The DL method was originally developed for intra-protein contact prediction and performed the best in CASP12. Our large-scale experimental test further shows that ComplexContact greatly outperforms pure co-evolution methods for inter-protein contact prediction, regardless of the species.

Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes

PubMed Central

2015-01-01

Background Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been developed for predicting the binding affinity of protein-protein complexes based on structure and functional information. This work aims to predict the binding affinity of heterodimeric protein complexes from sequences only. Results This work proposes a support vector machine (SVM) based binding affinity classifier, called SVM-BAC, to classify heterodimeric protein complexes based on the prediction of their binding affinity. SVM-BAC identified 14 of 580 sequence descriptors (physicochemical, energetic and conformational properties of the 20 amino acids) to classify 216 heterodimeric protein complexes into low and high binding affinity. SVM-BAC yielded the training accuracy, sensitivity, specificity, AUC and test accuracy of 85.80%, 0.89, 0.83, 0.86 and 83.33%, respectively, better than existing machine learning algorithms. The 14 features and support vector regression were further used to estimate the binding affinities (Pkd) of 200 heterodimeric protein complexes. Prediction performance of a Jackknife test was the correlation coefficient of 0.34 and mean absolute error of 1.4. We further analyze three informative physicochemical properties according to their contribution to prediction performance. Results reveal that the following properties are effective in predicting the binding affinity of heterodimeric protein complexes: apparent partition energy based on buried molar fractions, relations between chemical structure and biological activity in principal component analysis IV, and normalized frequency of beta turn. Conclusions The proposed sequence-based prediction method SVM-BAC uses an optimal feature selection method to identify 14 informative features to classify and predict binding affinity of heterodimeric protein

Predicting fire behavior in palmetto-gallberry fuel complexes

Treesearch

W A. Hough; F. A. Albini

1978-01-01

Rate of spread, fireline intensity, and flame length can be predicted with reasonable accuracy for backfires and low-intensity head fires in the palmetto-gallberry fuel complex of the South. This fuel complex was characterized and variables were adjusted for use in Rothermel's (1972) spread model. Age of rough, height of understory, percent of area covered by...

Improving prediction of heterodimeric protein complexes using combination with pairwise kernel.

PubMed

Ruan, Peiying; Hayashida, Morihiro; Akutsu, Tatsuya; Vert, Jean-Philippe

2018-02-19

Since many proteins become functional only after they interact with their partner proteins and form protein complexes, it is essential to identify the sets of proteins that form complexes. Therefore, several computational methods have been proposed to predict complexes from the topology and structure of experimental protein-protein interaction (PPI) network. These methods work well to predict complexes involving at least three proteins, but generally fail at identifying complexes involving only two different proteins, called heterodimeric complexes or heterodimers. There is however an urgent need for efficient methods to predict heterodimers, since the majority of known protein complexes are precisely heterodimers. In this paper, we use three promising kernel functions, Min kernel and two pairwise kernels, which are Metric Learning Pairwise Kernel (MLPK) and Tensor Product Pairwise Kernel (TPPK). We also consider the normalization forms of Min kernel. Then, we combine Min kernel or its normalization form and one of the pairwise kernels by plugging. We applied kernels based on PPI, domain, phylogenetic profile, and subcellular localization properties to predicting heterodimers. Then, we evaluate our method by employing C-Support Vector Classification (C-SVC), carrying out 10-fold cross-validation, and calculating the average F-measures. The results suggest that the combination of normalized-Min-kernel and MLPK leads to the best F-measure and improved the performance of our previous work, which had been the best existing method so far. We propose new methods to predict heterodimers, using a machine learning-based approach. We train a support vector machine (SVM) to discriminate interacting vs non-interacting protein pairs, based on informations extracted from PPI, domain, phylogenetic profiles and subcellular localization. We evaluate in detail new kernel functions to encode these data, and report prediction performance that outperforms the state-of-the-art.

Expert-Novice Differences in the Understanding and Explanation of Complex Political Conflicts

ERIC Educational Resources Information Center

Jones, David K.; Read, Stephen J.

2005-01-01

We compare the structure and content of political experts' knowledge with that of novices. We were particularly interested in whether experts would show more causal and historical reasoning in explaining political events, as well as whether their knowledge was structured in the form of a narrative. Eight relative political experts (advanced…

Hidden consequences of political efficacy: Testing an efficacy-apathy model of political mobilization.

PubMed

Osborne, Danny; Yogeeswaran, Kumar; Sibley, Chris G

2015-10-01

Political efficacy-the belief that one can influence politics-is a key predictor of people's involvement in social movements. Political institutions that are open to change should, however, be seen as just. Thus, political efficacy may ironically undermine minority group members' support for collective action by simultaneously increasing their belief in the fairness of the system. The current study aims to examine this possibility in a national sample of Māori-New Zealand's indigenous minority population. Participants (N = 399) were Māori (Mage = 44.22; SD = 13.30) women (n = 272) and men (n = 115; unreported = 12) who completed a survey assessing their levels of (a) political efficacy, (b) system justification, and (c) support for the political mobilization of their group, as well as relevant demographic covariates. Consistent with past research, political efficacy had a positive direct effect on participants' support for the political mobilization of Māori. Nevertheless, political efficacy also had a negative indirect effect on political mobilization support via increases in system justification. These results held after controlling for participants' ethnic identification, self-efficacy, and conservatism. Our findings uncover a hidden consequence of political efficacy and show that, while believing that the political system is receptive to change predicts political mobilization, it can also undermine minorities' support for the mobilization of their group. Thus, our results uncover a previously unknown process that maintains inequality between ethnic minority and majority group members. (c) 2015 APA, all rights reserved).

Political knowledge and awareness in adolescents.

PubMed

Furnham, A; Gunter, B

1983-12-01

Although some work has been done on adolescents' political attitudes, very little work has been done on their political knowledge. This study aimed to replicate a large study carried out eight years ago (Stradling, 1977) to see whether recent political changes altered adolescents' political knowledge and secondly to investigate the determinants (demographic, media usage, interest) of this knowledge. The results were strikingly similar to those of Stradling despite the smaller sample and the changes over time. The subjects appeared to know most about responsibility for public services and party political leaders and least about party political or parliamentary procedure. The canonical variable that best predicted overall knowledge was interest in politics and current affairs and to a lesser extent TV news watching and discussions with adults. The results are discussed in terms of political socialization and limitations of this work are considered.

Predicting protein complex geometries with a neural network.

PubMed

Chae, Myong-Ho; Krull, Florian; Lorenzen, Stephan; Knapp, Ernst-Walter

2010-03-01

A major challenge of the protein docking problem is to define scoring functions that can distinguish near-native protein complex geometries from a large number of non-native geometries (decoys) generated with noncomplexed protein structures (unbound docking). In this study, we have constructed a neural network that employs the information from atom-pair distance distributions of a large number of decoys to predict protein complex geometries. We found that docking prediction can be significantly improved using two different types of polar hydrogen atoms. To train the neural network, 2000 near-native decoys of even distance distribution were used for each of the 185 considered protein complexes. The neural network normalizes the information from different protein complexes using an additional protein complex identity input neuron for each complex. The parameters of the neural network were determined such that they mimic a scoring funnel in the neighborhood of the native complex structure. The neural network approach avoids the reference state problem, which occurs in deriving knowledge-based energy functions for scoring. We show that a distance-dependent atom pair potential performs much better than a simple atom-pair contact potential. We have compared the performance of our scoring function with other empirical and knowledge-based scoring functions such as ZDOCK 3.0, ZRANK, ITScore-PP, EMPIRE, and RosettaDock. In spite of the simplicity of the method and its functional form, our neural network-based scoring function achieves a reasonable performance in rigid-body unbound docking of proteins. Proteins 2010. (c) 2009 Wiley-Liss, Inc.

The Role of Political Skill in the Stressor-Outcome Relationship: Differential Predictions for Self- and Other-Reports of Political Skill

ERIC Educational Resources Information Center

Meurs, James A.; Gallagher, Vickie Coleman; Perrewe, Pamela L.

2010-01-01

The beneficial role of political skill in stress reactions and performance evaluations has been demonstrated in a substantial amount of empirical research. Most of the research, however, has focused on self-perceptions of political skill. This study examines the differential moderating effects of self- vs. other-rated political skill in the…

A New Stress-Based Model of Political Extremism

PubMed Central

Canetti-Nisim, Daphna; Halperin, Eran; Sharvit, Keren; Hobfoll, Stevan E.

2011-01-01

Does exposure to terrorism lead to hostility toward minorities? Drawing on theories from clinical and social psychology, we propose a stress-based model of political extremism in which psychological distress—which is largely overlooked in political scholarship—and threat perceptions mediate the relationship between exposure to terrorism and attitudes toward minorities. To test the model, a representative sample of 469 Israeli Jewish respondents was interviewed on three occasions at six-month intervals. Structural Equation Modeling indicated that exposure to terrorism predicted psychological distress (t1), which predicted perceived threat from Palestinian citizens of Israel (t2), which, in turn, predicted exclusionist attitudes toward Palestinian citizens of Israel (t3). These findings provide solid evidence and a mechanism for the hypothesis that terrorism introduces nondemocratic attitudes threatening minority rights. It suggests that psychological distress plays an important role in political decision making and should be incorporated in models drawing upon political psychology. PMID:22140275

HIV and AIDS in Africa: social, political, and economic realities.

PubMed

Dhai, A

2008-01-01

Sub-Saharan Africa bears the brunt of the HIV epidemic, which is fueled by the many ethical, social, and political complexities that make up Africa. In turn, the pandemic has also caused many ethical, social, and political complexities that Africa now grapples with. Being infected with HIV is highly complex and challenging. Regrettably, gender inequality is still pervasive in Africa. The response by African leaders to the pandemic has been, on the whole, shamefully lethargic. For Africa to win its war against HIV/AIDS, a paradigm shift is required from the perspective of its socio-political context. What is called for is positive political will that will address all aspects of the social determinants of AIDS. What is also required is that Ubuntu is embraced meaningfully.

Political economy challenges in nutrition.

PubMed

Balarajan, Yarlini; Reich, Michael R

2016-11-05

Historically, implementing nutrition policy has confronted persistent obstacles, with many of these obstacles arising from political economy sources. While there has been increased global policy attention to improving nutrition in recent years, the difficulty of translating this policy momentum into results remains. We present key political economy themes emanating from the political economy of nutrition literature. Together, these interrelated themes create a complex web of obstacles to moving nutrition policy forward. From these themes, we frame six political economy challenges facing the implementation of nutrition policy today. Building awareness of the broader political and economic issues that shape nutrition actions and adopting a more systematic approach to political economy analysis may help to mitigate these challenges. Improving nutrition will require managing the political economy challenges that persist in the nutrition field at global, national and subnational levels. We argue that a "mindshift" is required to build greater awareness of the broader political economy factors shaping the global nutrition landscape; and to embed systematic political economy analysis into the work of stakeholders navigating this field. This mindshift may help to improve the political feasibility of efforts to reform nutrition policy and implementation-and ensure that historical legacies do not continue to shape the future.

Complex behaviour and predictability of the European dry spell regimes

NASA Astrophysics Data System (ADS)

Lana, X.; Martínez, M. D.; Serra, C.; Burgueño, A.

2010-09-01

The complex spatial and temporal characteristics of European dry spell lengths, DSL, (sequences of consecutive days with rainfall amount below a certain threshold) and their randomness and predictive instability are analysed from daily pluviometric series recorded at 267 rain gauges along the second half of the 20th century. DSL are obtained by considering four thresholds, R0, of 0.1, 1.0, 5.0 and 10.0 mm/day. A proper quantification of the complexity, randomness and predictive instability of the different DSL regimes in Europe is achieved on the basis of fractal analyses and dynamic system theory, including the reconstruction theorem. First, the concept of lacunarity is applied to the series of daily rainfall, and the lacunarity curves are well fitted to Cantor and random Cantor sets. Second, the rescaled analysis reveals that randomness, persistence and anti-persistence are present on the European DSL series. Third, the complexity of the physical process governing the DSL series is quantified by the minimum number of nonlinear equations determined by the correlation dimension. And fourth, the loss of memory of the physical process, which is one of the reasons for the complex predictability, is characterized by the values of the Kolmogorov entropy, and the predictive instability is directly associated with positive Lyapunov exponents. In this way, new bases for a better prediction of DSLs in Europe, sometimes leading to drought episodes, are established. Concretely, three predictive strategies are proposed in Sect. 5. It is worth mentioning that the spatial distribution of all fractal parameters does not solely depend on latitude and longitude but also reflects the effects of orography, continental climate or vicinity to the Atlantic and Arctic Oceans and Mediterranean Sea.

An efficient link prediction index for complex military organization

NASA Astrophysics Data System (ADS)

Fan, Changjun; Liu, Zhong; Lu, Xin; Xiu, Baoxin; Chen, Qing

2017-03-01

Quality of information is crucial for decision-makers to judge the battlefield situations and design the best operation plans, however, real intelligence data are often incomplete and noisy, where missing links prediction methods and spurious links identification algorithms can be applied, if modeling the complex military organization as the complex network where nodes represent functional units and edges denote communication links. Traditional link prediction methods usually work well on homogeneous networks, but few for the heterogeneous ones. And the military network is a typical heterogeneous network, where there are different types of nodes and edges. In this paper, we proposed a combined link prediction index considering both the nodes' types effects and nodes' structural similarities, and demonstrated that it is remarkably superior to all the 25 existing similarity-based methods both in predicting missing links and identifying spurious links in a real military network data; we also investigated the algorithms' robustness under noisy environment, and found the mistaken information is more misleading than incomplete information in military areas, which is different from that in recommendation systems, and our method maintained the best performance under the condition of small noise. Since the real military network intelligence must be carefully checked at first due to its significance, and link prediction methods are just adopted to purify the network with the left latent noise, the method proposed here is applicable in real situations. In the end, as the FINC-E model, here used to describe the complex military organizations, is also suitable to many other social organizations, such as criminal networks, business organizations, etc., thus our method has its prospects in these areas for many tasks, like detecting the underground relationships between terrorists, predicting the potential business markets for decision-makers, and so on.

[Comparison of predictive models for the selection of high-complexity patients].

PubMed

Estupiñán-Ramírez, Marcos; Tristancho-Ajamil, Rita; Company-Sancho, María Consuelo; Sánchez-Janáriz, Hilda

2017-08-18

To compare the concordance of complexity weights between Clinical Risk Groups (CRG) and Adjusted Morbidity Groups (AMG). To determine which one is the best predictor of patient admission. To optimise the method used to select the 0.5% of patients of higher complexity that will be included in an intervention protocol. Cross-sectional analytical study in 18 Canary Island health areas, 385,049 citizens were enrolled, using sociodemographic variables from health cards; diagnoses and use of healthcare resources obtained from primary health care electronic records (PCHR) and the basic minimum set of hospital data; the functional status recorded in the PCHR, and the drugs prescribed through the electronic prescription system. The correlation between stratifiers was estimated from these data. The ability of each stratifier to predict patient admissions was evaluated and prediction optimisation models were constructed. Concordance between weights complexity stratifiers was strong (rho = 0.735) and the correlation between categories of complexity was moderate (weighted kappa = 0.515). AMG complexity weight predicts better patient admission than CRG (AUC: 0.696 [0.695-0.697] versus 0.692 [0.691-0.693]). Other predictive variables were added to the AMG weight, obtaining the best AUC (0.708 [0.707-0.708]) the model composed by AMG, sex, age, Pfeiffer and Barthel scales, re-admissions and number of prescribed therapeutic groups. strong concordance was found between stratifiers, and higher predictive capacity for admission from AMG, which can be increased by adding other dimensions. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

The Political Socialization of Adolescent Children of Immigrants.

PubMed

Humphries, Melissa; Muller, Chandra; Schiller, Kathryn S

2013-12-01

This study aims to evaluate the adolescent political socialization processes that predict political participation in young adulthood, and whether these processes are different for children of immigrants compared to white 3 rd -plus generation adolescents. We focus on socialization agents based in the family, community and school. We use a nationally representative longitudinal survey of adolescents to evaluate the predictors of three measures of political participation: Voter registration, voting, and political party identification, and whether the process leading to political participation varies by immigrant status and race/ethnic group. We find that the parental education level of adolescents is not as predictive for many minority children of immigrants compared to white children of native-born parents for registration. Additionally, the academic rigor of the courses taken in high school has a greater positive estimated effect on the likelihood of registration and party identification for Latino children of immigrants compared to white 3 rd -plus generation young adults. The process of general integration into U.S. society for adolescent children of immigrants may lead to differing pathways to political participation in young adulthood, with certain aspects of their schooling experience having particular importance in developing political participation behaviors.

Prediction of competitive diffusion on complex networks

NASA Astrophysics Data System (ADS)

Zhao, Jiuhua; Liu, Qipeng; Wang, Lin; Wang, Xiaofan

2018-10-01

In this paper, we study the prediction problem of diffusion process on complex networks in competitive circumstances. With this problem solved, the competitors could timely intervene the diffusion process if needed such that an expected outcome might be obtained. We consider a model with two groups of competitors spreading opposite opinions on a network. A prediction method based on the mutual influences among the agents is proposed, called Influence Matrix (IM for short), and simulations on real-world networks show that the proposed IM method has quite high accuracy on predicting both the preference of any normal agent and the final competition result. For comparison purpose, classic centrality measures are also used to predict the competition result. It is shown that PageRank, Degree, Katz Centrality, and the IM method are suitable for predicting the competition result. More precisely, in undirected networks, the IM method performs better than these centrality measures when the competing group contains more than one agent; in directed networks, the IM method performs only second to PageRank.

The genetic architecture of economic and political preferences

PubMed Central

Benjamin, Daniel J.; Cesarini, David; van der Loos, Matthijs J. H. M.; Dawes, Christopher T.; Koellinger, Philipp D.; Magnusson, Patrik K. E.; Chabris, Christopher F.; Conley, Dalton; Laibson, David; Johannesson, Magnus; Visscher, Peter M.

2012-01-01

Preferences are fundamental building blocks in all models of economic and political behavior. We study a new sample of comprehensively genotyped subjects with data on economic and political preferences and educational attainment. We use dense single nucleotide polymorphism (SNP) data to estimate the proportion of variation in these traits explained by common SNPs and to conduct genome-wide association study (GWAS) and prediction analyses. The pattern of results is consistent with findings for other complex traits. First, the estimated fraction of phenotypic variation that could, in principle, be explained by dense SNP arrays is around one-half of the narrow heritability estimated using twin and family samples. The molecular-genetic–based heritability estimates, therefore, partially corroborate evidence of significant heritability from behavior genetic studies. Second, our analyses suggest that these traits have a polygenic architecture, with the heritable variation explained by many genes with small effects. Our results suggest that most published genetic association studies with economic and political traits are dramatically underpowered, which implies a high false discovery rate. These results convey a cautionary message for whether, how, and how soon molecular genetic data can contribute to, and potentially transform, research in social science. We propose some constructive responses to the inferential challenges posed by the small explanatory power of individual SNPs. PMID:22566634

The genetic architecture of economic and political preferences.

PubMed

Benjamin, Daniel J; Cesarini, David; van der Loos, Matthijs J H M; Dawes, Christopher T; Koellinger, Philipp D; Magnusson, Patrik K E; Chabris, Christopher F; Conley, Dalton; Laibson, David; Johannesson, Magnus; Visscher, Peter M

2012-05-22

Preferences are fundamental building blocks in all models of economic and political behavior. We study a new sample of comprehensively genotyped subjects with data on economic and political preferences and educational attainment. We use dense single nucleotide polymorphism (SNP) data to estimate the proportion of variation in these traits explained by common SNPs and to conduct genome-wide association study (GWAS) and prediction analyses. The pattern of results is consistent with findings for other complex traits. First, the estimated fraction of phenotypic variation that could, in principle, be explained by dense SNP arrays is around one-half of the narrow heritability estimated using twin and family samples. The molecular-genetic-based heritability estimates, therefore, partially corroborate evidence of significant heritability from behavior genetic studies. Second, our analyses suggest that these traits have a polygenic architecture, with the heritable variation explained by many genes with small effects. Our results suggest that most published genetic association studies with economic and political traits are dramatically underpowered, which implies a high false discovery rate. These results convey a cautionary message for whether, how, and how soon molecular genetic data can contribute to, and potentially transform, research in social science. We propose some constructive responses to the inferential challenges posed by the small explanatory power of individual SNPs.

The Complex Route to Success: Complex Problem-Solving Skills in the Prediction of University Success

ERIC Educational Resources Information Center

Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M.

2016-01-01

Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…

The New Right and family politics.

PubMed

Somerville, J

1992-05-01

Political concern for the family has historically been intermittent; the present context is that there are considerable consequences for individuals, families, and personal life. Socioeconomic and cultural changes brought the rise of the New Right; The Thatcher (UK) and Reagan (US) administrations were committed to strengthening the traditional family. The emergence of the family as a social problem and the political agenda are discussed. The costs of liberalism were felt in a recessionary economy. The US political agenda of Carter to hold a White House Conference on the American Family never materialized. Reagan used the restoration of the traditional American family as a way to get the economy back on its feet. Moral crusaders and the new evangelical Christian movement merged with the political right; the "Gang of Four" (Republican Party right) politicians involved morally conservative communities normally outside the political area into the New Right. Grass roots organizations were mobilized on the Right. The British situation is explained; differences existed in that there were no antiabortion and moral lobby groups tied to the Right although their influence was felt. Pressure group politics is relatively novel to Britain. The Moral Majority in the US and right wing pressure groups on the Tory government are but 1 part of the New Right; it is characterized as populist, proclaiming the Radical Conservatism of Adam Smith and Edmund Burke. The approach in this article is to show the complex interactions of theory, biography, and public opinion in the practical politics of the New Right. Policy outcomes are not predictable because of ideological differences in New Right attitudes toward the family. The attitudes of the moral order and the family is exemplified in the work of Roger Scruton's neoconservative stand on social order, Robert Nozick's Kantian proposition that human beings are ends with natural inviolable rights of individual freedom, Hayak and Friedman

A Neurology of the Conservative-Liberal Dimension of Political Ideology.

PubMed

Mendez, Mario F

2017-01-01

Differences in political ideology are a major source of human disagreement and conflict. There is increasing evidence that neurobiological mechanisms mediate individual differences in political ideology through effects on a conservative-liberal axis. This review summarizes personality, evolutionary and genetic, cognitive, neuroimaging, and neurological studies of conservatism-liberalism and discusses how they might affect political ideology. What emerges from this highly variable literature is evidence for a normal right-sided "conservative-complex" involving structures sensitive to negativity bias, threat, disgust, and avoidance. This conservative-complex may be damaged with brain disease, sometimes leading to a pathological "liberal shift" or a reduced tendency to conservatism in political ideology. Although not deterministic, these findings recommend further research on politics and the brain.

The politics of biofuels, land and agrarian change: editors' introduction.

PubMed

Borras, Saturnino M

2010-01-01

This introduction frames key questions on biofuels, land and agrarian change within agrarian political economy, political sociology and political ecology. It identifies and explains big questions that provide the starting point for the contributions to this collection. We lay out some of the emerging themes which define the politics of biofuels, land and agrarian change revolving around global (re)configurations; agro-ecological visions; conflicts, resistances and diverse outcomes; state, capital and society relations; mobilising opposition, creating alternatives; and change and continuity. An engaged agrarian political economy combined with global political economy, international relations and social movement theory provides an important framework for analysis and critique of the conditions, dynamics, contradictions, impacts and possibilities of the emerging global biofuels complex. Our hope is that this collection demonstrates the significance of a political economy of biofuels in capturing the complexity of the "biofuels revolution" and at the same time opening up questions about its sustainability in social and environmental terms that provide pathways towards alternatives.

Policy Complexity, Political Calculus Cloud ESEA Reauthorization Outlook

ERIC Educational Resources Information Center

Klein, Alyson

2010-01-01

The author reports on the push to renew the Elementary and Secondary Education Act which faces steep policy and political hurdles. Although the legislative machinery seems to be clanking along, with an Obama administration blueprint for renewal on the table and House and Senate education panels holding hearings on a variety of issues related to…

Trajectory-Based Complexity (TBX): A Modified Aircraft Count to Predict Sector Complexity During Trajectory-Based Operations

NASA Technical Reports Server (NTRS)

Prevot, Thomas; Lee, Paul U.

2011-01-01

In this paper we introduce a new complexity metric to predict -in real-time- sector complexity for trajectory-based operations (TBO). TBO will be implemented in the Next Generation Air Transportation System (NextGen). Trajectory-Based Complexity (TBX) is a modified aircraft count that can easily be computed and communicated in a TBO environment based upon predictions of aircraft and weather trajectories. TBX is scaled to aircraft count and represents an alternate and additional means to manage air traffic demand and capacity with more consideration of dynamic factors such as weather, aircraft equipage or predicted separation violations, as well as static factors such as sector size. We have developed and evaluated TBX in the Airspace Operations Laboratory (AOL) at the NASA Ames Research Center during human-in-the-loop studies of trajectory-based concepts since 2009. In this paper we will describe the TBX computation in detail and present the underlying algorithm. Next, we will describe the specific TBX used in an experiment at NASA's AOL. We will evaluate the performance of this metric using data collected during a controller-inthe- loop study on trajectory-based operations at different equipage levels. In this study controllers were prompted at regular intervals to rate their current workload on a numeric scale. When comparing this real-time workload rating to the TBX values predicted for these time periods we demonstrate that TBX is a better predictor of workload than aircraft count. Furthermore we demonstrate that TBX is well suited to be used for complexity management in TBO and can easily be adjusted to future operational concepts.

Politics and governance at the interface between water and development.

PubMed

Abrams, L

2003-01-01

Water is not just a technical issue--it always has to be addressed within a complex political context. The water sector professional is generally unskilled in political processes, but political skill and awareness is needed to avoid negative politicization of water.

Complex versus simple models: ion-channel cardiac toxicity prediction.

PubMed

Mistry, Hitesh B

2018-01-01

There is growing interest in applying detailed mathematical models of the heart for ion-channel related cardiac toxicity prediction. However, a debate as to whether such complex models are required exists. Here an assessment in the predictive performance between two established large-scale biophysical cardiac models and a simple linear model B net was conducted. Three ion-channel data-sets were extracted from literature. Each compound was designated a cardiac risk category using two different classification schemes based on information within CredibleMeds. The predictive performance of each model within each data-set for each classification scheme was assessed via a leave-one-out cross validation. Overall the B net model performed equally as well as the leading cardiac models in two of the data-sets and outperformed both cardiac models on the latest. These results highlight the importance of benchmarking complex versus simple models but also encourage the development of simple models.

Prediction of missing links and reconstruction of complex networks

NASA Astrophysics Data System (ADS)

Zhang, Cheng-Jun; Zeng, An

2016-04-01

Predicting missing links in complex networks is of great significance from both theoretical and practical point of view, which not only helps us understand the evolution of real systems but also relates to many applications in social, biological and online systems. In this paper, we study the features of different simple link prediction methods, revealing that they may lead to the distortion of networks’ structural and dynamical properties. Moreover, we find that high prediction accuracy is not definitely corresponding to a high performance in preserving the network properties when using link prediction methods to reconstruct networks. Our work highlights the importance of considering the feedback effect of the link prediction methods on network properties when designing the algorithms.

Knotty: Efficient and Accurate Prediction of Complex RNA Pseudoknot Structures.

PubMed

Jabbari, Hosna; Wark, Ian; Montemagno, Carlo; Will, Sebastian

2018-06-01

The computational prediction of RNA secondary structure by free energy minimization has become an important tool in RNA research. However in practice, energy minimization is mostly limited to pseudoknot-free structures or rather simple pseudoknots, not covering many biologically important structures such as kissing hairpins. Algorithms capable of predicting sufficiently complex pseudoknots (for sequences of length n) used to have extreme complexities, e.g. Pknots (Rivas and Eddy, 1999) has O(n6) time and O(n4) space complexity. The algorithm CCJ (Chen et al., 2009) dramatically improves the asymptotic run time for predicting complex pseudoknots (handling almost all relevant pseudoknots, while being slightly less general than Pknots), but this came at the cost of large constant factors in space and time, which strongly limited its practical application (∼200 bases already require 256GB space). We present a CCJ-type algorithm, Knotty, that handles the same comprehensive pseudoknot class of structures as CCJ with improved space complexity of Θ(n3 + Z)-due to the applied technique of sparsification, the number of "candidates", Z, appears to grow significantly slower than n4 on our benchmark set (which include pseudoknotted RNAs up to 400 nucleotides). In terms of run time over this benchmark, Knotty clearly outperforms Pknots and the original CCJ implementation, CCJ 1.0; Knotty's space consumption fundamentally improves over CCJ 1.0, being on a par with the space-economic Pknots. By comparing to CCJ 2.0, our unsparsified Knotty variant, we demonstrate the isolated effect of sparsification. Moreover, Knotty employs the state-of-the-art energy model of "HotKnots DP09", which results in superior prediction accuracy over Pknots. Our software is available at https://github.com/HosnaJabbari/Knotty. will@tbi.unvie.ac.at. Supplementary data are available at Bioinformatics online.

Predicting the evolution of spreading on complex networks

PubMed Central

Chen, Duan-Bing; Xiao, Rui; Zeng, An

2014-01-01

Due to the wide applications, spreading processes on complex networks have been intensively studied. However, one of the most fundamental problems has not yet been well addressed: predicting the evolution of spreading based on a given snapshot of the propagation on networks. With this problem solved, one can accelerate or slow down the spreading in advance if the predicted propagation result is narrower or wider than expected. In this paper, we propose an iterative algorithm to estimate the infection probability of the spreading process and then apply it to a mean-field approach to predict the spreading coverage. The validation of the method is performed in both artificial and real networks. The results show that our method is accurate in both infection probability estimation and spreading coverage prediction. PMID:25130862

The Political Socialization of Adolescent Children of Immigrants*

PubMed Central

Humphries, Melissa; Muller, Chandra; Schiller, Kathryn S.

2013-01-01

Objectives This study aims to evaluate the adolescent political socialization processes that predict political participation in young adulthood, and whether these processes are different for children of immigrants compared to white 3rd-plus generation adolescents. We focus on socialization agents based in the family, community and school. Methods We use a nationally representative longitudinal survey of adolescents to evaluate the predictors of three measures of political participation: Voter registration, voting, and political party identification, and whether the process leading to political participation varies by immigrant status and race/ethnic group. Results We find that the parental education level of adolescents is not as predictive for many minority children of immigrants compared to white children of native-born parents for registration. Additionally, the academic rigor of the courses taken in high school has a greater positive estimated effect on the likelihood of registration and party identification for Latino children of immigrants compared to white 3rd-plus generation young adults. Conclusions The process of general integration into U.S. society for adolescent children of immigrants may lead to differing pathways to political participation in young adulthood, with certain aspects of their schooling experience having particular importance in developing political participation behaviors. PMID:24489413

Speak up! Oral Examinations and Political Science

ERIC Educational Resources Information Center

Buehler, Melissa J.; Schneider, Laura U.

2009-01-01

Testing assessments of undergraduate political science students is predictable and stagnant. A missing, yet valuable, testing assessment tool that can contribute to the repertoire of political science is the oral examination. Borrowing this testing tool largely from foreign language departments, oral exams require students to "think on their…

Political Differences in Past, Present, and Future Life Satisfaction: Republicans Are More Sensitive than Democrats to Political Climate

PubMed Central

Mandel, David R.; Omorogbe, Philip

2014-01-01

Previous research finds that Republicans report being happier or more satisfied with their lives than Democrats. Using representative American samples from 2002, 2005, 2007, 2009, and 2010, we tested a Person × Situation interactionist account in which political affiliation (Democrat, Republican) and political climate (favorable when the president in office is of the same party) are proposed to affect past, present, and anticipated future life satisfaction. Meta-analyses of related tests of key hypotheses confirmed that (a) life satisfaction was greater when the political climate was favorable rather than unfavorable and (b) Republicans were more sensitive to political climate than Democrats. As predicted, Republicans also were more politically polarized than Democrats. Taken together, the findings indicate that, compared to Democrats, Republicans are more apt to self-identify in political terms, and core aspects of their subjective well-being are more easily affected by the outcome of political events. PMID:24901253

Political Attitudes Develop Independently of Personality Traits

PubMed Central

Hatemi, Peter K.; Verhulst, Brad

2015-01-01

The primary assumption within the recent personality and political orientations literature is that personality traits cause people to develop political attitudes. In contrast, research relying on traditional psychological and developmental theories suggests the relationship between most personality dimensions and political orientations are either not significant or weak. Research from behavioral genetics suggests the covariance between personality and political preferences is not causal, but due to a common, latent genetic factor that mutually influences both. The contradictory assumptions and findings from these research streams have yet to be resolved. This is in part due to the reliance on cross-sectional data and the lack of longitudinal genetically informative data. Here, using two independent longitudinal genetically informative samples, we examine the joint development of personality traits and attitude dimensions to explore the underlying causal mechanisms that drive the relationship between these features and provide a first step in resolving the causal question. We find change in personality over a ten-year period does not predict change in political attitudes, which does not support a causal relationship between personality traits and political attitudes as is frequently assumed. Rather, political attitudes are often more stable than the key personality traits assumed to be predicting them. Finally, the results from our genetic models find that no additional variance is accounted for by the causal pathway from personality traits to political attitudes. Our findings remain consistent with the original construction of the five-factor model of personality and developmental theories on attitude formation, but challenge recent work in this area. PMID:25734580

Political attitudes develop independently of personality traits.

PubMed

Hatemi, Peter K; Verhulst, Brad

2015-01-01

The primary assumption within the recent personality and political orientations literature is that personality traits cause people to develop political attitudes. In contrast, research relying on traditional psychological and developmental theories suggests the relationship between most personality dimensions and political orientations are either not significant or weak. Research from behavioral genetics suggests the covariance between personality and political preferences is not causal, but due to a common, latent genetic factor that mutually influences both. The contradictory assumptions and findings from these research streams have yet to be resolved. This is in part due to the reliance on cross-sectional data and the lack of longitudinal genetically informative data. Here, using two independent longitudinal genetically informative samples, we examine the joint development of personality traits and attitude dimensions to explore the underlying causal mechanisms that drive the relationship between these features and provide a first step in resolving the causal question. We find change in personality over a ten-year period does not predict change in political attitudes, which does not support a causal relationship between personality traits and political attitudes as is frequently assumed. Rather, political attitudes are often more stable than the key personality traits assumed to be predicting them. Finally, the results from our genetic models find that no additional variance is accounted for by the causal pathway from personality traits to political attitudes. Our findings remain consistent with the original construction of the five-factor model of personality and developmental theories on attitude formation, but challenge recent work in this area.

Political Ideology, Trust, and Cooperation

PubMed Central

Balliet, Daniel; Tybur, Joshua M.; Wu, Junhui; Antonellis, Christian; Van Lange, Paul A. M.

2016-01-01

Theories suggest that political ideology relates to cooperation, with conservatives being more likely to pursue selfish outcomes, and liberals more likely to pursue egalitarian outcomes. In study 1, we examine how political ideology and political party affiliation (Republican vs. Democrat) predict cooperation with a partner who self-identifies as Republican or Democrat in two samples before (n = 362) and after (n = 366) the 2012 US presidential election. Liberals show slightly more concern for their partners’ outcomes compared to conservatives (study 1), and in study 2 this relation is supported by a meta-analysis (r = .15). However, in study 1, political ideology did not relate to cooperation in general. Both Republicans and Democrats extend more cooperation to their in-group relative to the out-group, and this is explained by expectations of cooperation from in-group versus out-group members. We discuss the relation between political ideology and cooperation within and between groups. PMID:29593363

The predictive state: Science, territory and the future of the Indian climate.

PubMed

Mahony, Martin

2014-02-01

Acts of scientific calculation have long been considered central to the formation of the modern nation state, yet the transnational spaces of knowledge generation and political action associated with climate change seem to challenge territorial modes of political order. This article explores the changing geographies of climate prediction through a study of the ways in which climate change is rendered knowable at the national scale in India. The recent controversy surrounding an erroneous prediction of melting Himalayan glaciers by the Intergovernmental Panel on Climate Change provides a window onto the complex and, at times, antagonistic relationship between the Panel and Indian political and scientific communities. The Indian reaction to the error, made public in 2009, drew upon a national history of contestation around climate change science and corresponded with the establishment of a scientific assessment network, the Indian Network for Climate Change Assessment, which has given the state a new platform on which to bring together knowledge about the future climate. I argue that the Indian Network for Climate Change Assessment is indicative of the growing use of regional climate models within longer traditions of national territorial knowledge-making, allowing a rescaling of climate change according to local norms and practices of linking scientific knowledge to political action. I illustrate the complex co-production of the epistemic and the normative in climate politics, but also seek to show how co-productionist understandings of science and politics can function as strategic resources in the ongoing negotiation of social order. In this case, scientific rationalities and modes of environmental governance contribute to the contested epistemic construction of territory and the evolving spatiality of the modern nation state under a changing climate.

Complexity in Nature and Society: Complexity Management in the Age of Globalization

NASA Astrophysics Data System (ADS)

Mainzer, Klaus

The theory of nonlinear complex systems has become a proven problem-solving approach in the natural sciences from cosmic and quantum systems to cellular organisms and the brain. Even in modern engineering science self-organizing systems are developed to manage complex networks and processes. It is now recognized that many of our ecological, social, economic, and political problems are also of a global, complex, and nonlinear nature. What are the laws of sociodynamics? Is there a socio-engineering of nonlinear problem solving? What can we learn from nonlinear dynamics for complexity management in social, economic, financial and political systems? Is self-organization an acceptable strategy to handle the challenges of complexity in firms, institutions and other organizations? It is a main thesis of the talk that nature and society are basically governed by nonlinear and complex information dynamics. How computational is sociodynamics? What can we hope for social, economic and political problem solving in the age of globalization?.

Children's Verbal Working Memory: Role of Processing Complexity in Predicting Spoken Sentence Comprehension

ERIC Educational Resources Information Center

Magimairaj, Beula M.; Montgomery, James W.

2012-01-01

Purpose: This study investigated the role of processing complexity of verbal working memory tasks in predicting spoken sentence comprehension in typically developing children. Of interest was whether simple and more complex working memory tasks have similar or different power in predicting sentence comprehension. Method: Sixty-five children (6- to…

Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction.

PubMed

Cui, Yiqian; Shi, Junyou; Wang, Zili

2015-11-01

Quantum Neural Networks (QNN) models have attracted great attention since it innovates a new neural computing manner based on quantum entanglement. However, the existing QNN models are mainly based on the real quantum operations, and the potential of quantum entanglement is not fully exploited. In this paper, we proposes a novel quantum neuron model called Complex Quantum Neuron (CQN) that realizes a deep quantum entanglement. Also, a novel hybrid networks model Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) is proposed based on Complex Quantum Neuron (CQN). CRQDNN is a three layer model with both CQN and classical neurons. An infinite impulse response (IIR) filter is embedded in the Networks model to enable the memory function to process time series inputs. The Levenberg-Marquardt (LM) algorithm is used for fast parameter learning. The networks model is developed to conduct time series predictions. Two application studies are done in this paper, including the chaotic time series prediction and electronic remaining useful life (RUL) prediction. Copyright © 2015 Elsevier Ltd. All rights reserved.

Predictability, Force and (Anti-)Resonance in Complex Object Control.

PubMed

Maurice, Pauline; Hogan, Neville; Sternad, Dagmar

2018-04-18

Manipulation of complex objects as in tool use is ubiquitous and has given humans an evolutionary advantage. This study examined the strategies humans choose when manipulating an object with underactuated internal dynamics, such as a cup of coffee. The object's dynamics renders the temporal evolution complex, possibly even chaotic, and difficult to predict. A cart-and-pendulum model, loosely mimicking coffee sloshing in a cup, was implemented in a virtual environment with a haptic interface. Participants rhythmically manipulated the virtual cup containing a rolling ball; they could choose the oscillation frequency, while the amplitude was prescribed. Three hypotheses were tested: 1) humans decrease interaction forces between hand and object; 2) humans increase the predictability of the object dynamics; 3) humans exploit the resonances of the coupled object-hand system. Analysis revealed that humans chose either a high-frequency strategy with anti-phase cup-and-ball movements or a low-frequency strategy with in-phase cup-and-ball movements. Counter Hypothesis 1, they did not decrease interaction force; instead, they increased the predictability of the interaction dynamics, quantified by mutual information, supporting Hypothesis 2. To address Hypothesis 3, frequency analysis of the coupled hand-object system revealed two resonance frequencies separated by an anti-resonance frequency. The low-frequency strategy exploited one resonance, while the high-frequency strategy afforded more choice, consistent with the frequency response of the coupled system; both strategies avoided the anti-resonance. Hence, humans did not prioritize interaction force, but rather strategies that rendered interactions predictable. These findings highlight that physical interactions with complex objects pose control challenges not present in unconstrained movements.

Patrick Geddes and the politics of evolution.

PubMed

Renwick, Chris

2010-12-01

Ever since they began to be widely discussed during the early nineteenth century, evolutionary ideas have played a controversial role in debates about politics and social reform. Understanding the political commitments of those who have sought to integrate politics and evolution is a complex challenge, though; not least because memories of mid-twentieth-century eugenic policies have frequently shaped how we talk about biosocial science. However, as the case of the Scottish biologist-turned-town-planner Patrick Geddes highlights, while we need to be aware of the broad appeal that biosocial science has historically held, we also need to recognise that current political categories can be misleading when thinking about those of who have put evolution and politics together. Copyright © 2010 Elsevier Ltd. All rights reserved.

Predicting beauty: fractal dimension and visual complexity in art.

PubMed

Forsythe, A; Nadal, M; Sheehy, N; Cela-Conde, C J; Sawey, M

2011-02-01

Visual complexity has been known to be a significant predictor of preference for artistic works for some time. The first study reported here examines the extent to which perceived visual complexity in art can be successfully predicted using automated measures of complexity. Contrary to previous findings the most successful predictor of visual complexity was Gif compression. The second study examined the extent to which fractal dimension could account for judgments of perceived beauty. The fractal dimension measure accounts for more of the variance in judgments of perceived beauty in visual art than measures of visual complexity alone, particularly for abstract and natural images. Results also suggest that when colour is removed from an artistic image observers are unable to make meaningful judgments as to its beauty. ©2010 The British Psychological Society.

How encompassing is the effect of negativity bias on political conservatism?

PubMed

Malka, Ariel; Soto, Christopher J

2014-06-01

We argue that the political effects of negativity bias are narrower than Hibbing et al. suggest. Negativity bias reliably predicts social, but not economic, conservatism, and its political effects often vary across levels of political engagement. Thus the role of negativity bias in broad ideological conflict depends on the strategic packaging of economic and social attitudes by political elites.

Fractal analyses reveal independent complexity and predictability of gait

PubMed Central

Dierick, Frédéric; Nivard, Anne-Laure

2017-01-01

Locomotion is a natural task that has been assessed for decades and used as a proxy to highlight impairments of various origins. So far, most studies adopted classical linear analyses of spatio-temporal gait parameters. Here, we use more advanced, yet not less practical, non-linear techniques to analyse gait time series of healthy subjects. We aimed at finding more sensitive indexes related to spatio-temporal gait parameters than those previously used, with the hope to better identify abnormal locomotion. We analysed large-scale stride interval time series and mean step width in 34 participants while altering walking direction (forward vs. backward walking) and with or without galvanic vestibular stimulation. The Hurst exponent α and the Minkowski fractal dimension D were computed and interpreted as indexes expressing predictability and complexity of stride interval time series, respectively. These holistic indexes can easily be interpreted in the framework of optimal movement complexity. We show that α and D accurately capture stride interval changes in function of the experimental condition. Walking forward exhibited maximal complexity (D) and hence, adaptability. In contrast, walking backward and/or stimulation of the vestibular system decreased D. Furthermore, walking backward increased predictability (α) through a more stereotyped pattern of the stride interval and galvanic vestibular stimulation reduced predictability. The present study demonstrates the complementary power of the Hurst exponent and the fractal dimension to improve walking classification. Our developments may have immediate applications in rehabilitation, diagnosis, and classification procedures. PMID:29182659

Science communication as political communication

PubMed Central

Scheufele, Dietram A.

2014-01-01

Scientific debates in modern societies often blur the lines between the science that is being debated and the political, moral, and legal implications that come with its societal applications. This manuscript traces the origins of this phenomenon to professional norms within the scientific discipline and to the nature and complexities of modern science and offers an expanded model of science communication that takes into account the political contexts in which science communication takes place. In a second step, it explores what we know from empirical work in political communication, public opinion research, and communication research about the dynamics that determine how issues are debated and attitudes are formed in political environments. Finally, it discusses how and why it will be increasingly important for science communicators to draw from these different literatures to ensure that the voice of the scientific community is heard in the broader societal debates surrounding science. PMID:25225389

Science communication as political communication.

PubMed

Scheufele, Dietram A

2014-09-16

Scientific debates in modern societies often blur the lines between the science that is being debated and the political, moral, and legal implications that come with its societal applications. This manuscript traces the origins of this phenomenon to professional norms within the scientific discipline and to the nature and complexities of modern science and offers an expanded model of science communication that takes into account the political contexts in which science communication takes place. In a second step, it explores what we know from empirical work in political communication, public opinion research, and communication research about the dynamics that determine how issues are debated and attitudes are formed in political environments. Finally, it discusses how and why it will be increasingly important for science communicators to draw from these different literatures to ensure that the voice of the scientific community is heard in the broader societal debates surrounding science.

Dynamics in Higher Education Politics: A Theoretical Model

ERIC Educational Resources Information Center

Kauko, Jaakko

2013-01-01

This article presents a model for analysing dynamics in higher education politics (DHEP). Theoretically the model draws on the conceptual history of political contingency, agenda-setting theories and previous research on higher education dynamics. According to the model, socio-historical complexity can best be analysed along two dimensions: the…

The politics of insight

PubMed Central

Salvi, Carola; Cristofori, Irene; Grafman, Jordan; Beeman, Mark

2016-01-01

Previous studies showed that liberals and conservatives differ in cognitive style. Liberals are more flexible, and tolerant of complexity and novelty, whereas conservatives are more rigid, are more resistant to change, and prefer clear answers. We administered a set of compound remote associate problems, a task extensively used to differentiate problem-solving styles (via insight or analysis). Using this task, several researches have proven that self-reports, which differentiate between insight and analytic problem-solving, are reliable and are associated with two different neural circuits. In our research we found that participants self-identifying with distinct political orientations demonstrated differences in problem-solving strategy. Liberals solved significantly more problems via insight instead of in a step-by-step analytic fashion. Our findings extend previous observations that self-identified political orientations reflect differences in cognitive styles. More specifically, we show that type of political orientation is associated with problem-solving strategy. The data converge with previous neurobehavioural and cognitive studies indicating a link between cognitive style and the psychological mechanisms that mediate political beliefs. PMID:26810954

The politics of insight.

PubMed

Salvi, Carola; Cristofori, Irene; Grafman, Jordan; Beeman, Mark

2016-01-01

Previous studies showed that liberals and conservatives differ in cognitive style. Liberals are more flexible, and tolerant of complexity and novelty, whereas conservatives are more rigid, are more resistant to change, and prefer clear answers. We administered a set of compound remote associate problems, a task extensively used to differentiate problem-solving styles (via insight or analysis). Using this task, several researches have proven that self-reports, which differentiate between insight and analytic problem-solving, are reliable and are associated with two different neural circuits. In our research we found that participants self-identifying with distinct political orientations demonstrated differences in problem-solving strategy. Liberals solved significantly more problems via insight instead of in a step-by-step analytic fashion. Our findings extend previous observations that self-identified political orientations reflect differences in cognitive styles. More specifically, we show that type of political orientation is associated with problem-solving strategy. The data converge with previous neurobehavioural and cognitive studies indicating a link between cognitive style and the psychological mechanisms that mediate political beliefs.

Predictability of Extreme Climate Events via a Complex Network Approach

NASA Astrophysics Data System (ADS)

Muhkin, D.; Kurths, J.

2017-12-01

We analyse climate dynamics from a complex network approach. This leads to an inverse problem: Is there a backbone-like structure underlying the climate system? For this we propose a method to reconstruct and analyze a complex network from data generated by a spatio-temporal dynamical system. This approach enables us to uncover relations to global circulation patterns in oceans and atmosphere. This concept is then applied to Monsoon data; in particular, we develop a general framework to predict extreme events by combining a non-linear synchronization technique with complex networks. Applying this method, we uncover a new mechanism of extreme floods in the eastern Central Andes which could be used for operational forecasts. Moreover, we analyze the Indian Summer Monsoon (ISM) and identify two regions of high importance. By estimating an underlying critical point, this leads to an improved prediction of the onset of the ISM; this scheme was successful in 2016 and 2017.

Theoretical prediction of welding distortion in large and complex structures

NASA Astrophysics Data System (ADS)

Deng, De-An

2010-06-01

Welding technology is widely used to assemble large thin plate structures such as ships, automobiles, and passenger trains because of its high productivity. However, it is impossible to avoid welding-induced distortion during the assembly process. Welding distortion not only reduces the fabrication accuracy of a weldment, but also decreases the productivity due to correction work. If welding distortion can be predicted using a practical method beforehand, the prediction will be useful for taking appropriate measures to control the dimensional accuracy to an acceptable limit. In this study, a two-step computational approach, which is a combination of a thermoelastic-plastic finite element method (FEM) and an elastic finite element with consideration for large deformation, is developed to estimate welding distortion for large and complex welded structures. Welding distortions in several representative large complex structures, which are often used in shipbuilding, are simulated using the proposed method. By comparing the predictions and the measurements, the effectiveness of the two-step computational approach is verified.

Women and political representation.

PubMed

Rathod, P B

1999-01-01

A remarkable progress in women's participation in politics throughout the world was witnessed in the final decade of the 20th century. According to the Inter-Parliamentary Union report, there were only eight countries with no women in their legislatures in 1998. The number of women ministers at the cabinet level worldwide doubled in a decade, and the number of countries without any women ministers dropped from 93 to 48 during 1987-96. However, this progress is far from satisfactory. Political representation of women, minorities, and other social groups is still inadequate. This may be due to a complex combination of socioeconomic, cultural, and institutional factors. The view that women's political participation increases with social and economic development is supported by data from the Nordic countries, where there are higher proportions of women legislators than in less developed countries. While better levels of socioeconomic development, having a women-friendly political culture, and higher literacy are considered favorable factors for women's increased political representation, adopting one of the proportional representation systems (such as a party-list system, a single transferable vote system, or a mixed proportional system with multi-member constituencies) is the single factor most responsible for the higher representation of women.

Means-Tested Public Assistance Programs and Adolescent Political Socialization.

PubMed

Barnes, Carolyn Y; Hope, Elan C

2017-07-01

In recent years, scholars have pointed to the politically demobilizing effects of means-tested assistance programs on recipients. In this study, we bridge the insights from policy feedback literature and adolescent political socialization research to examine how receiving means-tested programs shapes parent influence on adolescent political participation. We argue that there are differences in pathways to political participation through parent political socialization and youth internal efficacy beliefs for adolescents from households that do or do not receive means-tested assistance. Using data from a nationally representative sample of 536 Black, Latino, and White adolescents (50.8% female), we find that adolescents from means-tested assistance households report less parent political socialization and political participation. For all youth, parent political socialization predicts adolescent political participation. Internal political efficacy is a stronger predictor of political participation for youth from a non-means-tested assistance household than it is for youth from a household receiving means-tested assistance. These findings provide some evidence of differential paths to youth political participation via exposure to means-tested programs.

Constituents of political cognition: Race, party politics, and the alliance detection system.

PubMed

Pietraszewski, David; Curry, Oliver Scott; Petersen, Michael Bang; Cosmides, Leda; Tooby, John

2015-07-01

Research suggests that the mind contains a set of adaptations for detecting alliances: an alliance detection system, which monitors for, encodes, and stores alliance information and then modifies the activation of stored alliance categories according to how likely they will predict behavior within a particular social interaction. Previous studies have established the activation of this system when exposed to explicit competition or cooperation between individuals. In the current studies we examine if shared political opinions produce these same effects. In particular, (1) if participants will spontaneously categorize individuals according to the parties they support, even when explicit cooperation and antagonism are absent, and (2) if party support is sufficiently powerful to decrease participants' categorization by an orthogonal but typically-diagnostic alliance cue (in this case the target's race). Evidence was found for both: Participants spontaneously and implicitly kept track of who supported which party, and when party cross-cut race-such that the race of targets was not predictive of party support-categorization by race was dramatically reduced. To verify that these results reflected the operation of a cognitive system for modifying the activation of alliance categories, and not just socially-relevant categories in general, an identical set of studies was also conducted with in which party was either crossed with sex or age (neither of which is predicted to be primarily an alliance category). As predicted, categorization by party occurred to the same degree, and there was no reduction in either categorization by sex or by age. All effects were replicated across two sets of between-subjects conditions. These studies provide the first direct empirical evidence that party politics engages the mind's systems for detecting alliances and establish two important social categorization phenomena: (1) that categorization by age is, like sex, not affected by alliance

Complex Contagion of Campaign Donations.

PubMed

Traag, Vincent A

2016-01-01

Money is central in US politics, and most campaign contributions stem from a tiny, wealthy elite. Like other political acts, campaign donations are known to be socially contagious. We study how campaign donations diffuse through a network of more than 50,000 elites and examine how connectivity among previous donors reinforces contagion. We find that the diffusion of donations is driven by independent reinforcement contagion: people are more likely to donate when exposed to donors from different social groups than when they are exposed to equally many donors from the same group. Counter-intuitively, being exposed to one side may increase donations to the other side. Although the effect is weak, simultaneous cross-cutting exposure makes donation somewhat less likely. Finally, the independence of donors in the beginning of a campaign predicts the amount of money that is raised throughout a campaign. We theorize that people infer population-wide estimates from their local observations, with elites assessing the viability of candidates, possibly opposing candidates in response to local support. Our findings suggest that theories of complex contagions need refinement and that political campaigns should target multiple communities.

Complex Contagion of Campaign Donations

PubMed Central

2016-01-01

Money is central in US politics, and most campaign contributions stem from a tiny, wealthy elite. Like other political acts, campaign donations are known to be socially contagious. We study how campaign donations diffuse through a network of more than 50000 elites and examine how connectivity among previous donors reinforces contagion. We find that the diffusion of donations is driven by independent reinforcement contagion: people are more likely to donate when exposed to donors from different social groups than when they are exposed to equally many donors from the same group. Counter-intuitively, being exposed to one side may increase donations to the other side. Although the effect is weak, simultaneous cross-cutting exposure makes donation somewhat less likely. Finally, the independence of donors in the beginning of a campaign predicts the amount of money that is raised throughout a campaign. We theorize that people infer population-wide estimates from their local observations, with elites assessing the viability of candidates, possibly opposing candidates in response to local support. Our findings suggest that theories of complex contagions need refinement and that political campaigns should target multiple communities. PMID:27077742

Predicting missing links in complex networks based on common neighbors and distance

PubMed Central

Yang, Jinxuan; Zhang, Xiao-Dong

2016-01-01

The algorithms based on common neighbors metric to predict missing links in complex networks are very popular, but most of these algorithms do not account for missing links between nodes with no common neighbors. It is not accurate enough to reconstruct networks by using these methods in some cases especially when between nodes have less common neighbors. We proposed in this paper a new algorithm based on common neighbors and distance to improve accuracy of link prediction. Our proposed algorithm makes remarkable effect in predicting the missing links between nodes with no common neighbors and performs better than most existing currently used methods for a variety of real-world networks without increasing complexity. PMID:27905526

Is love colorblind? Political orientation and interracial romantic desire.

PubMed

Eastwick, Paul W; Richeson, Jennifer A; Son, Deborah; Finkel, Eli J

2009-09-01

The present research examined the association of political orientation with ingroup favoritism in two live romantic contexts. In Study 1, White participants had sequential interactions with both a White and Black confederate and reported their romantic desire for each. In Study 2, both White and Black participants speed-dated multiple potential romantic partners and reported whether they would be interested in meeting each speed-dating partner again. In both studies, White participants' political conservatism positively predicted the strength of the ingroup-favoring bias: White conservatives were less likely than White liberals to desire Black (interracial) relative to White potential romantic partners. In contrast, Black participants' political conservatism negatively predicted the strength of the ingroup-favoring bias: Consistent with system-justification theory, Black conservatives were more likely than Black liberals to desire White (interracial) relative to Black potential romantic partners. Political orientation may be a key factor that influences the initiation of interracial romantic relationships.

Complex Questions Asked by Defense Lawyers But Not Prosecutors Predicts Convictions in Child Abuse Trials

PubMed Central

Evans, Angela D.; Lyon, Thomas D.

2010-01-01

Attorneys’ language has been found to influence the accuracy of a child's testimony, with defense attorneys asking more complex questions than the prosecution (Zajac & Hayne, J. Exp Psychol Appl 9:187–195, 2003; Zajac et al. Psychiatr Psychol Law, 10:199–209, 2003). These complex questions may be used as a strategy to influence the jury's perceived accuracy of child witnesses. However, we currently do not know whether the complexity of attorney's questions predict the trial outcome. The present study assesses whether the complexity of questions is related to the trial outcome in 46 child sexual abuse court transcripts using an automated linguistic analysis. Based on the complexity of defense attorney's questions, the trial verdict was accurately predicted 82.6% of the time. Contrary to our prediction, more complex questions asked by the defense were associated with convictions, not acquittals. PMID:18633698

Do Personality and Organizational Politics Predict Workplace Victimization? A Study among Ghanaian Employees.

PubMed

Amponsah-Tawiah, Kwesi; Annor, Francis

2017-03-01

Workplace victimization is considered a major social stressor with significant implications for the wellbeing of employees and organizations. The aim of this study was to examine the influences of employees' personality traits and organizational politics on workplace victimization among Ghanaian employees. Using a cross-sectional design, data were collected from 631 employees selected from diverse occupations through convenience sampling. Data collection tools were standardized questionnaires that measured experiences of negative acts at work (victimization), the Big Five personality traits, and organizational politics. The results from hierarchical multiple regression analysis showed that among the personality traits neuroticism and conscientiousness had significant, albeit weak relationships with victimization. Organizational politics had a significant positive relationship with workplace victimization beyond employees' personality. The study demonstrates that compared with personal characteristics such as personality traits, work environment factors such as organizational politics have a stronger influence on the occurrence of workplace victimization.

Is political behavior a viable coping strategy to perceived organizational politics? Unveiling the underlying resource dynamics.

PubMed

Sun, Shuhua; Chen, Huaizhong

2017-10-01

[Correction Notice: An Erratum for this article was reported in Vol 102(10) of Journal of Applied Psychology (see record 2017-34254-001). In the article, Table 1 contained a formatting error. Correlation coefficient values in the last four cells of column 6 were misplaced with correlation coefficient values in the last four cells of column 7. All versions of this article have been corrected.] We conduct a theory-driven empirical investigation on whether political behavior, as a coping strategy to perceived organizational politics, creates resource trade-offs in moderating the relationship between perceived organizational politics and task performance. Drawing on conservation of resources theory, we hypothesize that political behavior mitigates the adverse effect of perceived organizational politics on task performance via psychological empowerment, yet exacerbates its adverse effect on task performance via emotional exhaustion. Three-wave multisource data from a sample of 222 employees and their 75 supervisors were collected for hypothesis testing. Findings supported our hypotheses. Our study enhances understandings of the complex resource dynamics of using political behavior to cope with perceived organizational politics and highlights the need to move stress-coping research from a focus on the stress-buffering effect of coping on outcomes to a focus on the underlying competing resource dynamics. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Prediction of Complex Aerodynamic Flows with Explicit Algebraic Stress Models

NASA Technical Reports Server (NTRS)

Abid, Ridha; Morrison, Joseph H.; Gatski, Thomas B.; Speziale, Charles G.

1996-01-01

An explicit algebraic stress equation, developed by Gatski and Speziale, is used in the framework of K-epsilon formulation to predict complex aerodynamic turbulent flows. The nonequilibrium effects are modeled through coefficients that depend nonlinearly on both rotational and irrotational strains. The proposed model was implemented in the ISAAC Navier-Stokes code. Comparisons with the experimental data are presented which clearly demonstrate that explicit algebraic stress models can predict the correct response to nonequilibrium flow.

Despite the Odds: The Contentious Politics of Education Reform

ERIC Educational Resources Information Center

Grindle, Merilee S.

2004-01-01

"Despite the Odds" poses an important question: How can we account for successful policy reform initiatives when the political cards are stacked against change? Theories of politics usually predict that reform initiatives will be unsuccessful when powerful groups are opposed to change and institutions are biased against it. This book,…

Gender, religion and democratic politics in India.

PubMed

Hasan, Zoya

2010-01-01

This article examines the impact of identity politics on gender equality. More specifically it explores the paradoxical and complex relationship of religion and politics in a multi-religious society and the complicated ways in which women's activism has both reinforced and challenged their gender identities. Contrary to the argument that religious politics does not always negate gender equality, the article argues that the Hindu religious politics and women's activism associated with it provides a compelling example of the instrumentalisation of women to accomplish the political goals of the Hindu right. It also examines the approach and strategies of influential political parties, women's organisations and Muslim women's groups towards legal reform and the contested issue of a uniform civil code. Against those who argue that, in the current communal conjuncture, reform within Muslim personal laws or Islamic feminism is the best strategy for enhancing the scope of Muslim women's rights, the article argues that such an approach tends to freeze identities within religious boundaries. It shows how women's and minority rights are used within the politics of religion to sideline the agenda of women's rights.

Face and politeness in pharmacist-physician interaction.

PubMed

Lambert, B L

1996-10-01

This study used Brown and Levinson's theory of politeness to gain a better understanding of the factors that influence pharmacists' messages to physicians. Specifically, perceived differences in power and social distance between pharmacist and physician were expected to influence the amount of politeness observed in pharmacists' messages. The effects of age, sex and practice context were also examined. Written messages were gathered from 210 community pharmacists and 112 hospital pharmacists in response to a hypothetical drug allergy scenario. Messages were segmented into independent clauses, and independent clauses were classified according to the politeness strategy used to make allergy reports and alternative drug recommendations respectively. Content analysis of the messages in relation to demographic variables revealed that age and practice context were significantly associated with the overall level of politeness of alternative drug recommendations, but not with overall politeness of allergy reports. Demographic factors were significantly related to perceptions of power and social distance, but, contrary to Brown and Levinson's prediction, these perceptions were not associated with variation in politeness. Regardless of other factors, recommendations were made more politely than reports. Implications for pharmacists' professional roles and identities are discussed.

The political downside of dual identity: group identifications and religious political mobilization of Muslim minorities.

PubMed

Martinovic, Borja; Verkuyten, Maykel

2014-12-01

Research on the political mobilization of ethnic minorities has shown that dual ethno-national identification facilitates involvement in political action on behalf of the ethnic group. This study extends this research by proposing that a dual identity can impede political mobilization on behalf of another relevant in-group--the religious community - especially if this in-group is not accepted by the wider society. Using a sample of 641 Muslims of Turkish origin living in Germany and the Netherlands, dual ethno-national identity (Turkish-German/Turkish-Dutch) was examined in relation to religious Muslim identification and religious political mobilization. Dual identity was expected to be indirectly related to lower mobilization via decreased religious group identification. Further, this mediating process was predicted to be stronger for Turkish Muslims who perceived relatively high religious group discrimination. In both countries we found support for the mediating hypothesis, however, the moderating role of discrimination was confirmed only for the Netherlands. Turkish-Dutch identification was associated with lower support for religious political mobilization because of lower Muslim identification only for Turkish-Dutch participants who perceived high levels of discrimination. These findings indicate that a strong dual (ethno-national) identity can undermine minority members' support for political rights and actions on behalf of a third relevant in-group, and therefore qualify the social psychological benefits of the dual identity model. © 2014 The British Psychological Society.

Race, intelligence and political efficacy among school children.

PubMed

Carmines, E G; Baxter, D J

1986-01-01

This paper focuses on the difference in political efficacy found between black and white pre-adults, and assesses a specific explanation of this racial difference, one that combines elements of the intelligence explanation with aspects of the social-deprivation explanation as outlined by Paul Abramson. The explanation suggests that the racial difference in feelings of political effectiveness is due to intelligence which, in turn, is basically a function of the social and economic environment. Focusing on a study of 421 black and white students, it is shown that the predictions from the theory are empirically valid. Most importantly, it is demonstrated that once intelligence is controlled for, there is little or no relationship between race and political efficacy--that is, the black and white students are approximately equal in their levels of political effectiveness. Thus the study lends empirical support to this particular explanation of the racial difference in political efficacy, and suggests, more generally, that intelligence may play a significant role in the political socialization process.

Predictability and Robustness in the Manipulation of Dynamically Complex Objects

PubMed Central

Hasson, Christopher J.

2017-01-01

Manipulation of complex objects and tools is a hallmark of many activities of daily living, but how the human neuromotor control system interacts with such objects is not well understood. Even the seemingly simple task of transporting a cup of coffee without spilling creates complex interaction forces that humans need to compensate for. Predicting the behavior of an underactuated object with nonlinear fluid dynamics based on an internal model appears daunting. Hence, this research tests the hypothesis that humans learn strategies that make interactions predictable and robust to inaccuracies in neural representations of object dynamics. The task of moving a cup of coffee is modeled with a cart-and-pendulum system that is rendered in a virtual environment, where subjects interact with a virtual cup with a rolling ball inside using a robotic manipulandum. To gain insight into human control strategies, we operationalize predictability and robustness to permit quantitative theory-based assessment. Predictability is quantified by the mutual information between the applied force and the object dynamics; robustness is quantified by the energy margin away from failure. Three studies are reviewed that show how with practice subjects develop movement strategies that are predictable and robust. Alternative criteria, common for free movement, such as maximization of smoothness and minimization of force, do not account for the observed data. As manual dexterity is compromised in many individuals with neurological disorders, the experimental paradigm and its analyses are a promising platform to gain insights into neurological diseases, such as dystonia and multiple sclerosis, as well as healthy aging. PMID:28035560

Politics, Adequacy, and Education Funding

ERIC Educational Resources Information Center

Ikpa, Vivian W.

2016-01-01

Decisions about who gets what, when and how are driven by economic constraints and individuals who dominate policy agendas. As policymakers at the state and federal levels continue to debate budgetary priories, funding education becomes secondary. The complexities of political systems become apparent when decision makers attempt to balance…

Predictable transcriptome evolution in the convergent and complex bioluminescent organs of squid

PubMed Central

Pankey, M. Sabrina; Minin, Vladimir N.; Imholte, Greg C.; Suchard, Marc A.; Oakley, Todd H.

2014-01-01

Despite contingency in life’s history, the similarity of evolutionarily convergent traits may represent predictable solutions to common conditions. However, the extent to which overall gene expression levels (transcriptomes) underlying convergent traits are themselves convergent remains largely unexplored. Here, we show strong statistical support for convergent evolutionary origins and massively parallel evolution of the entire transcriptomes in symbiotic bioluminescent organs (bacterial photophores) from two divergent squid species. The gene expression similarities are so strong that regression models of one species’ photophore can predict organ identity of a distantly related photophore from gene expression levels alone. Our results point to widespread parallel changes in gene expression evolution associated with convergent origins of complex organs. Therefore, predictable solutions may drive not only the evolution of novel, complex organs but also the evolution of overall gene expression levels that underlie them. PMID:25336755

Islam, religiosity, and immigrant political action in Western Europe.

PubMed

Just, Aida; Sandovici, Maria Elena; Listhaug, Ola

2014-01-01

The issues of migration and immigrant political integration in western democracies have become increasingly intertwined with debates on religion, particularly Islam. To date, however, we have surprisingly little systematic research on how religious beliefs are related to immigrants' political engagement. In this study, we argue that religion has a capacity to mobilize immigrants politically but the strength of this relationship depends on immigrant generation, religiosity, and the type of religion. Using survey data collected as part of the European Social Survey (ESS) 2002-2010 in 18 West European democracies, our analyses reveal that religion is indeed linked to political engagement of immigrants in a complex way: while belonging to a religion is generally associated with less political participation, exposure to religious institutions appears to have the opposite effect. Moreover, we find that, compared to foreign-born Muslims, second-generation Muslim immigrants are not only more religious and more politically dissatisfied with their host countries, but also that religiosity is more strongly linked to their political engagement. This relationship, however, is limited to uninstitutionalized political action. Copyright © 2013 Elsevier Inc. All rights reserved.

Political Correctness and American Academe.

ERIC Educational Resources Information Center

Drucker, Peter F.

1994-01-01

Argues that today's political correctness atmosphere is a throwback to attempts made by the Nazis and Stalinists to force society into conformity. Academia, it is claimed, is being forced to conform to gain control of the institution of higher education. It is predicted that this effort will fail. (GR)

Petroleum - politics and power

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brossard, E.B.

1983-01-01

Governments all over the world are politically maneuvering themselves into positions where they can use this precious resource as a tool to gain power. Notes the author, ''Even the largest oil company can be powerless against the smallest government.'' This thesis is the foundation of Brossard's investigation of the international oil industry and the power and politics that are involved in the struggle for dominance. Contents: The petroleum age; The Russian nobles and the Soviet Union; The Majors - big oil; The complex operations of the oil industry; U.S. government controls; Natural gas - the most efficient fuel; The Organizationmore » of Petroleum Exporting Countries; OPEC and the international market; Canadian petroleum; Alaska - the hope of the Lower 48.« less

Predicting Stability Constants for Uranyl Complexes Using Density Functional Theory

DOE PAGES

Vukovic, Sinisa; Hay, Benjamin P.; Bryantsev, Vyacheslav S.

2015-04-02

The ability to predict the equilibrium constants for the formation of 1:1 uranyl:ligand complexes (log K 1 values) provides the essential foundation for the rational design of ligands with enhanced uranyl affinity and selectivity. We also use density functional theory (B3LYP) and the IEFPCM continuum solvation model to compute aqueous stability constants for UO 2 2+ complexes with 18 donor ligands. Theoretical calculations permit reasonably good estimates of relative binding strengths, while the absolute log K 1 values are significantly overestimated. Accurate predictions of the absolute log K 1 values (root mean square deviation from experiment < 1.0 for logmore » K 1 values ranging from 0 to 16.8) can be obtained by fitting the experimental data for two groups of mono and divalent negative oxygen donor ligands. The utility of correlations is demonstrated for amidoxime and imide dioxime ligands, providing a useful means of screening for new ligands with strong chelate capability to uranyl.« less

Extended resource allocation index for link prediction of complex network

NASA Astrophysics Data System (ADS)

Liu, Shuxin; Ji, Xinsheng; Liu, Caixia; Bai, Yi

2017-08-01

Recently, a number of similarity-based methods have been proposed to predict the missing links in complex network. Among these indices, the resource allocation index performs very well with lower time complexity. However, it ignores potential resources transferred by local paths between two endpoints. Motivated by the resource exchange taking places between endpoints, an extended resource allocation index is proposed. Empirical study on twelve real networks and three synthetic dynamic networks has shown that the index we proposed can achieve a good performance, compared with eight mainstream baselines.

Political Alienation in Adolescence: Associations with Parental Role Models, Parenting Styles, and Classroom Climate

ERIC Educational Resources Information Center

Gniewosz, Burkhard; Noack, Peter; Buhl, Monika

2009-01-01

The present study examined how parental political attitudes, parenting styles, and classroom characteristics predict adolescents' political alienation, as feelings about the individual's ability to affect the political system's performance at the individual level. Participants were 463 families that included mothers, fathers, and their adolescent…

Mapping the online communication patterns of political conversations

NASA Astrophysics Data System (ADS)

Borondo, J.; Morales, A. J.; Benito, R. M.; Losada, J. C.

2014-11-01

The structure of the social networks in which individuals are embedded influences their political choices and therefore their voting behavior. Nowadays, social media represent a new channel for individuals to communicate, what together with the availability of the data, makes it possible to analyze the online social network resulting from political conversations. Here, by taking advantage of the recently developed techniques to analyze complex systems, we map the communication patterns resulting from Spanish political conversations. We identify the different existing communities, building networks of communities, and finding that users cluster themselves in politically homogeneous networks. We found that while most of the collective attention was monopolized by politicians, traditional media accounts were still the preferred sources from which to propagate information. Finally, we propose methods to analyze the use of different languages, finding a clear trend from sympathizers of several political parties to overuse or infra-use each language. We conclude that, on the light of a social media analysis perspective, the political conversation is constrained by both ideology and language.

Teachers' Political Attitudes: Implications for Political Socialization

ERIC Educational Resources Information Center

Funderburk, Charles; Shaw, Paul C.

1976-01-01

This article describes a study in Pennsylvania which examined three political attitudes of public school teachers: alienation, political cynicism, and commitment to democratic values. Data analysis shows that teachers hold political beliefs supportive of the established political order. (Author/AV)

The influence of visual training on predicting complex action sequences.

PubMed

Cross, Emily S; Stadler, Waltraud; Parkinson, Jim; Schütz-Bosbach, Simone; Prinz, Wolfgang

2013-02-01

Linking observed and executable actions appears to be achieved by an action observation network (AON), comprising parietal, premotor, and occipitotemporal cortical regions of the human brain. AON engagement during action observation is thought to aid in effortless, efficient prediction of ongoing movements to support action understanding. Here, we investigate how the AON responds when observing and predicting actions we cannot readily reproduce before and after visual training. During pre- and posttraining neuroimaging sessions, participants watched gymnasts and wind-up toys moving behind an occluder and pressed a button when they expected each agent to reappear. Between scanning sessions, participants visually trained to predict when a subset of stimuli would reappear. Posttraining scanning revealed activation of inferior parietal, superior temporal, and cerebellar cortices when predicting occluded actions compared to perceiving them. Greater activity emerged when predicting untrained compared to trained sequences in occipitotemporal cortices and to a lesser degree, premotor cortices. The occipitotemporal responses when predicting untrained agents showed further specialization, with greater responses within body-processing regions when predicting gymnasts' movements and in object-selective cortex when predicting toys' movements. The results suggest that (1) select portions of the AON are recruited to predict the complex movements not easily mapped onto the observer's body and (2) greater recruitment of these AON regions supports prediction of less familiar sequences. We suggest that the findings inform both the premotor model of action prediction and the predictive coding account of AON function. Copyright © 2011 Wiley Periodicals, Inc.

Ethics and the politics of advancing nursing knowledge.

PubMed

Milton, Constance L

2015-04-01

The politics of academia involve intricate human relationships that are political in nature as nurse leaders and scholars struggle to advance nursing science with complex leading-following situations. This article begins a dialogue of considering potential meanings for what it means to be political within competing interest groups in academia, and within the discipline of nursing. What is most important in the struggle for identity and what possibilities surface when potential competing interests in academia collide? The ethical tenets of humanbecoming and the leading-following model are used to illustrate issues surrounding academic integrity and possibilities for the advancement of nursing scholarship in future generations. © The Author(s) 2015.

Survivors of Political Violence: Conceptualizations, Empirical Findings, and Ecological Interventions

ERIC Educational Resources Information Center

Stanciu, Elena Amalia; Rogers, Jennifer L.

2011-01-01

There is a vast body of literature on survivors of political violence that has emerged over the past several decades. Most studies focus on the psychological effects of political violence on survivors, as understood within the Western framework of mental health. Studies that conceptualize and examine models that account for the complexity of the…

Civic engagement and political participation among American Indians and Alaska natives in the US†

PubMed Central

Huyser, Kimberly R.; Sanchez, Gabriel R.; Vargas, Edward D.

2016-01-01

Within the growing literature seeking to understand civic and political engagement among racial and ethnic minorities, our understanding of political behavior among American Indian and Alaska Native’s (AI/AN) remains limited. We use the Current Population Survey Civic Engagement and Voting and Registration supplements (2006-2012) to compare AI/AN voter registration, voting, and overall civic engagement to other racial and ethnic groups and to assess whether factors that predict higher levels of civic engagement vary across these populations. We find a few key socio-economic status indicators that predict civic and political engagement uniquely for AI/ANs, but they are not consistently significant across all years or all types of political participation. We find marital status, age, household size, education, and veteran status to be important in predicting civic engagement for AI/ANs. However, for voting and registration, we find that family income, age, marital status, household size, and residential stability to be important contributors. Although we find AI/ANs are less likely to register and vote compared to non-Hispanic whites, we find that the difference is not statistically significant in congressional years, which may suggest that AI/ANs are engaged in local politics and vote for representatives that will represent their tribal interests in national politics. PMID:29226016

Civic engagement and political participation among American Indians and Alaska natives in the US.

PubMed

Huyser, Kimberly R; Sanchez, Gabriel R; Vargas, Edward D

2017-01-01

Within the growing literature seeking to understand civic and political engagement among racial and ethnic minorities, our understanding of political behavior among American Indian and Alaska Native's (AI/AN) remains limited. We use the Current Population Survey Civic Engagement and Voting and Registration supplements (2006-2012) to compare AI/AN voter registration, voting, and overall civic engagement to other racial and ethnic groups and to assess whether factors that predict higher levels of civic engagement vary across these populations. We find a few key socio-economic status indicators that predict civic and political engagement uniquely for AI/ANs, but they are not consistently significant across all years or all types of political participation. We find marital status, age, household size, education, and veteran status to be important in predicting civic engagement for AI/ANs. However, for voting and registration, we find that family income, age, marital status, household size, and residential stability to be important contributors. Although we find AI/ANs are less likely to register and vote compared to non-Hispanic whites, we find that the difference is not statistically significant in congressional years, which may suggest that AI/ANs are engaged in local politics and vote for representatives that will represent their tribal interests in national politics.

Population size predicts technological complexity in Oceania

PubMed Central

Kline, Michelle A.; Boyd, Robert

2010-01-01

Much human adaptation depends on the gradual accumulation of culturally transmitted knowledge and technology. Recent models of this process predict that large, well-connected populations will have more diverse and complex tool kits than small, isolated populations. While several examples of the loss of technology in small populations are consistent with this prediction, it found no support in two systematic quantitative tests. Both studies were based on data from continental populations in which contact rates were not available, and therefore these studies do not provide a test of the models. Here, we show that in Oceania, around the time of early European contact, islands with small populations had less complicated marine foraging technology. This finding suggests that explanations of existing cultural variation based on optimality models alone are incomplete because demography plays an important role in generating cumulative cultural adaptation. It also indicates that hominin populations with similar cognitive abilities may leave very different archaeological records, a conclusion that has important implications for our understanding of the origin of anatomically modern humans and their evolved psychology. PMID:20392733

Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes.

PubMed

Srihari, Sriganesh; Yong, Chern Han; Patil, Ashwini; Wong, Limsoon

2015-09-14

Complexes of physically interacting proteins constitute fundamental functional units responsible for driving biological processes within cells. A faithful reconstruction of the entire set of complexes is therefore essential to understand the functional organisation of cells. In this review, we discuss the key contributions of computational methods developed till date (approximately between 2003 and 2015) for identifying complexes from the network of interacting proteins (PPI network). We evaluate in depth the performance of these methods on PPI datasets from yeast, and highlight their limitations and challenges, in particular at detecting sparse and small or sub-complexes and discerning overlapping complexes. We describe methods for integrating diverse information including expression profiles and 3D structures of proteins with PPI networks to understand the dynamics of complex formation, for instance, of time-based assembly of complex subunits and formation of fuzzy complexes from intrinsically disordered proteins. Finally, we discuss methods for identifying dysfunctional complexes in human diseases, an application that is proving invaluable to understand disease mechanisms and to discover novel therapeutic targets. We hope this review aptly commemorates a decade of research on computational prediction of complexes and constitutes a valuable reference for further advancements in this exciting area. Copyright © 2015 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.

PubMed

Liu, Lizhen; Sun, Xiaowu; Song, Wei; Du, Chao

2018-06-01

Predicting protein complexes from protein-protein interaction (PPI) network is of great significance to recognize the structure and function of cells. A protein may interact with different proteins under different time or conditions. Existing approaches only utilize static PPI network data that may lose much temporal biological information. First, this article proposed a novel method that combines gene expression data at different time points with traditional static PPI network to construct different dynamic subnetworks. Second, to further filter out the data noise, the semantic similarity based on gene ontology is regarded as the network weight together with the principal component analysis, which is introduced to deal with the weight computing by three traditional methods. Third, after building a dynamic PPI network, a predicting protein complexes algorithm based on "core-attachment" structural feature is applied to detect complexes from each dynamic subnetworks. Finally, it is revealed from the experimental results that our method proposed in this article performs well on detecting protein complexes from dynamic weighted PPI networks.

Political and Social Issues as Predictors of Attending to Religious Broadcasts.

ERIC Educational Resources Information Center

Copeland, Gary A.; Davis, Donald M.

Acknowledging fears of electronic church critics that audiences will adopt the conservative political messages espoused by evangelical broadcasters, a study was conducted to determine the political and social issues that best predict attendance to religious broadcasts. A secondary analysis was conducted of existing data from a statewide telephone…

Host Genome Influence on Gut Microbial Composition and Microbial Prediction of Complex Traits in Pigs.

PubMed

Camarinha-Silva, Amelia; Maushammer, Maria; Wellmann, Robin; Vital, Marius; Preuss, Siegfried; Bennewitz, Jörn

2017-07-01

The aim of the present study was to analyze the interplay between gastrointestinal tract (GIT) microbiota, host genetics, and complex traits in pigs using extended quantitative-genetic methods. The study design consisted of 207 pigs that were housed and slaughtered under standardized conditions, and phenotyped for daily gain, feed intake, and feed conversion rate. The pigs were genotyped with a standard 60 K SNP chip. The GIT microbiota composition was analyzed by 16S rRNA gene amplicon sequencing technology. Eight from 49 investigated bacteria genera showed a significant narrow sense host heritability, ranging from 0.32 to 0.57. Microbial mixed linear models were applied to estimate the microbiota variance for each complex trait. The fraction of phenotypic variance explained by the microbial variance was 0.28, 0.21, and 0.16 for daily gain, feed conversion, and feed intake, respectively. The SNP data and the microbiota composition were used to predict the complex traits using genomic best linear unbiased prediction (G-BLUP) and microbial best linear unbiased prediction (M-BLUP) methods, respectively. The prediction accuracies of G-BLUP were 0.35, 0.23, and 0.20 for daily gain, feed conversion, and feed intake, respectively. The corresponding prediction accuracies of M-BLUP were 0.41, 0.33, and 0.33. Thus, in addition to SNP data, microbiota abundances are an informative source of complex trait predictions. Since the pig is a well-suited animal for modeling the human digestive tract, M-BLUP, in addition to G-BLUP, might be beneficial for predicting human predispositions to some diseases, and, consequently, for preventative and personalized medicine. Copyright © 2017 by the Genetics Society of America.

The political economy of trade liberalization and environmental policy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Fredriksson, P.G.

1999-01-01

A pressure group model where environmental and industry lobby groups offer political support in return for favorable pollution tax policies is used to explain and predict the equilibrium pollution tax in sectors protected by tariffs. The political economy effects of trade liberalization are investigated. The pollution tax is shown to decrease if the lobbying effort by the environmental lobby decreases more rapidly than by the industry lobby Ceteris paribus. The level of political conflict falls with trade liberalization. Pollution may increase because of a reduction of the pollution tax, and tax revenues may fall simultaneously as pollution increases.

Reframing Political Differences: One Conversation at a Time.

PubMed

Gardner, Deborah B

2015-01-01

The profession of nursing, by it's very nature, is wrought with significantly complex moral and political disagreements. These issues cannot simply be avoided by being relegated to private discussions because their resolution is crucial to the common good. It is important for nurses to develop skills in public discourse if we are to bridge the political divide and influence local, state, and national policy. Failure to do so will leave us with ineffective and dismissed voices.

Spectral simplicity of apparent complexity. I. The nondiagonalizable metadynamics of prediction

NASA Astrophysics Data System (ADS)

Riechers, Paul M.; Crutchfield, James P.

2018-03-01

Virtually all questions that one can ask about the behavioral and structural complexity of a stochastic process reduce to a linear algebraic framing of a time evolution governed by an appropriate hidden-Markov process generator. Each type of question—correlation, predictability, predictive cost, observer synchronization, and the like—induces a distinct generator class. Answers are then functions of the class-appropriate transition dynamic. Unfortunately, these dynamics are generically nonnormal, nondiagonalizable, singular, and so on. Tractably analyzing these dynamics relies on adapting the recently introduced meromorphic functional calculus, which specifies the spectral decomposition of functions of nondiagonalizable linear operators, even when the function poles and zeros coincide with the operator's spectrum. Along the way, we establish special properties of the spectral projection operators that demonstrate how they capture the organization of subprocesses within a complex system. Circumventing the spurious infinities of alternative calculi, this leads in the sequel, Part II [P. M. Riechers and J. P. Crutchfield, Chaos 28, 033116 (2018)], to the first closed-form expressions for complexity measures, couched either in terms of the Drazin inverse (negative-one power of a singular operator) or the eigenvalues and projection operators of the appropriate transition dynamic.

Development and evaluation of a predictive algorithm for telerobotic task complexity

NASA Technical Reports Server (NTRS)

Gernhardt, M. L.; Hunter, R. C.; Hedgecock, J. C.; Stephenson, A. G.

1993-01-01

There is a wide range of complexity in the various telerobotic servicing tasks performed in subsea, space, and hazardous material handling environments. Experience with telerobotic servicing has evolved into a knowledge base used to design tasks to be 'telerobot friendly.' This knowledge base generally resides in a small group of people. Written documentation and requirements are limited in conveying this knowledge base to serviceable equipment designers and are subject to misinterpretation. A mathematical model of task complexity based on measurable task parameters and telerobot performance characteristics would be a valuable tool to designers and operational planners. Oceaneering Space Systems and TRW have performed an independent research and development project to develop such a tool for telerobotic orbital replacement unit (ORU) exchange. This algorithm was developed to predict an ORU exchange degree of difficulty rating (based on the Cooper-Harper rating used to assess piloted operations). It is based on measurable parameters of the ORU, attachment receptacle and quantifiable telerobotic performance characteristics (e.g., link length, joint ranges, positional accuracy, tool lengths, number of cameras, and locations). The resulting algorithm can be used to predict task complexity as the ORU parameters, receptacle parameters, and telerobotic characteristics are varied.

Per Aspera ad Astra: Through Complex Population Modeling to Predictive Theory.

PubMed

Topping, Christopher J; Alrøe, Hugo Fjelsted; Farrell, Katharine N; Grimm, Volker

2015-11-01

Population models in ecology are often not good at predictions, even if they are complex and seem to be realistic enough. The reason for this might be that Occam's razor, which is key for minimal models exploring ideas and concepts, has been too uncritically adopted for more realistic models of systems. This can tie models too closely to certain situations, thereby preventing them from predicting the response to new conditions. We therefore advocate a new kind of parsimony to improve the application of Occam's razor. This new parsimony balances two contrasting strategies for avoiding errors in modeling: avoiding inclusion of nonessential factors (false inclusions) and avoiding exclusion of sometimes-important factors (false exclusions). It involves a synthesis of traditional modeling and analysis, used to describe the essentials of mechanistic relationships, with elements that are included in a model because they have been reported to be or can arguably be assumed to be important under certain conditions. The resulting models should be able to reflect how the internal organization of populations change and thereby generate representations of the novel behavior necessary for complex predictions, including regime shifts.

Lanthanide complex coordination polyhedron geometry prediction accuracies of ab initio effective core potential calculations.

PubMed

Freire, Ricardo O; Rocha, Gerd B; Simas, Alfredo M

2006-03-01

lanthanide coordination compounds efficiently and accurately is central for the design of new ligands capable of forming stable and highly luminescent complexes. Accordingly, we present in this paper a report on the capability of various ab initio effective core potential calculations in reproducing the coordination polyhedron geometries of lanthanide complexes. Starting with all combinations of HF, B3LYP and MP2(Full) with STO-3G, 3-21G, 6-31G, 6-31G* and 6-31+G basis sets for [Eu(H2O)9]3+ and closing with more manageable calculations for the larger complexes, we computed the fully predicted ab initio geometries for a total of 80 calculations on 52 complexes of Sm(III), Eu(III), Gd(III), Tb(III), Dy(III), Ho(III), Er(III) and Tm(III), the largest containing 164 atoms. Our results indicate that RHF/STO-3G/ECP appears to be the most efficient model chemistry in terms of coordination polyhedron crystallographic geometry predictions from isolated lanthanide complex ion calculations. Moreover, both augmenting the basis set and/or including electron correlation generally enlarged the deviations and aggravated the quality of the predicted coordination polyhedron crystallographic geometry. Our results further indicate that Cosentino et al.'s suggestion of using RHF/3-21G/ECP geometries appears to be indeed a more robust, but not necessarily, more accurate recommendation to be adopted for the general lanthanide complex case. [Figure: see text].

Political party affiliation, political ideology and mortality

PubMed Central

Pabayo, Roman; Kawachi, Ichiro; Muennig, Peter

2018-01-01

Background Ecological and cross-sectional studies have indicated that conservative political ideology is associated with better health. Longitudinal analyses of mortality are needed because subjective assessments of ideology may confound subjective assessments of health, particularly in cross-sectional analyses. Methods Data were derived from the 2008 General Social Survey-National Death Index data set. Cox proportional analysis models were used to determine whether political party affiliation or political ideology was associated with time to death. Also, we attempted to identify whether self-reported happiness and self-rated health acted as mediators between political beliefs and time to death. Results In this analysis of 32 830 participants and a total follow-up time of 498 845 person-years, we find that political party affiliation and political ideology are associated with mortality. However, with the exception of independents (adjusted HR (AHR)=0.93, 95% CI 0.90 to 0.97), political party differences are explained by the participants’ underlying sociodemographic characteristics. With respect to ideology, conservatives (AHR=1.06, 95% CI 1.01 to 1.12) and moderates (AHR=1.06, 95% CI 1.01 to 1.11) are at greater risk for mortality during follow-up than liberals. Conclusions Political party affiliation and political ideology appear to be different predictors of mortality. PMID:25631861

Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods.

PubMed

Dimitrakopoulos, Christos; Theofilatos, Konstantinos; Pegkas, Andreas; Likothanassis, Spiros; Mavroudi, Seferina

2016-07-01

Proteins are vital biological molecules driving many fundamental cellular processes. They rarely act alone, but form interacting groups called protein complexes. The study of protein complexes is a key goal in systems biology. Recently, large protein-protein interaction (PPI) datasets have been published and a plethora of computational methods that provide new ideas for the prediction of protein complexes have been implemented. However, most of the methods suffer from two major limitations: First, they do not account for proteins participating in multiple functions and second, they are unable to handle weighted PPI graphs. Moreover, the problem remains open as existing algorithms and tools are insufficient in terms of predictive metrics. In the present paper, we propose gradually expanding neighborhoods with adjustment (GENA), a new algorithm that gradually expands neighborhoods in a graph starting from highly informative "seed" nodes. GENA considers proteins as multifunctional molecules allowing them to participate in more than one protein complex. In addition, GENA accepts weighted PPI graphs by using a weighted evaluation function for each cluster. In experiments with datasets from Saccharomyces cerevisiae and human, GENA outperformed Markov clustering, restricted neighborhood search and clustering with overlapping neighborhood expansion, three state-of-the-art methods for computationally predicting protein complexes. Seven PPI networks and seven evaluation datasets were used in total. GENA outperformed existing methods in 16 out of 18 experiments achieving an average improvement of 5.5% when the maximum matching ratio metric was used. Our method was able to discover functionally homogeneous protein clusters and uncover important network modules in a Parkinson expression dataset. When used on the human networks, around 47% of the detected clusters were enriched in gene ontology (GO) terms with depth higher than five in the GO hierarchy. In the present manuscript

Politically Active Home Economists: Their Socialization to Politics.

ERIC Educational Resources Information Center

Ley, Connie J.

1980-01-01

A nationwide study identified a pattern of political socialization for home economists who were politically active. The most outstanding feature of the politically active subjects was their perception that political activity is a professional role. (SK)

The Use of Behavior Models for Predicting Complex Operations

NASA Technical Reports Server (NTRS)

Gore, Brian F.

2010-01-01

Modeling and simulation (M&S) plays an important role when complex human-system notions are being proposed, developed and tested within the system design process. National Aeronautics and Space Administration (NASA) as an agency uses many different types of M&S approaches for predicting human-system interactions, especially when it is early in the development phase of a conceptual design. NASA Ames Research Center possesses a number of M&S capabilities ranging from airflow, flight path models, aircraft models, scheduling models, human performance models (HPMs), and bioinformatics models among a host of other kinds of M&S capabilities that are used for predicting whether the proposed designs will benefit the specific mission criteria. The Man-Machine Integration Design and Analysis System (MIDAS) is a NASA ARC HPM software tool that integrates many models of human behavior with environment models, equipment models, and procedural / task models. The challenge to model comprehensibility is heightened as the number of models that are integrated and the requisite fidelity of the procedural sets are increased. Model transparency is needed for some of the more complex HPMs to maintain comprehensibility of the integrated model performance. This will be exemplified in a recent MIDAS v5 application model and plans for future model refinements will be presented.

It's complicated: Facebook users' political participation in the 2008 election.

PubMed

Vitak, Jessica; Zube, Paul; Smock, Andrew; Carr, Caleb T; Ellison, Nicole; Lampe, Cliff

2011-03-01

In the 2008 U.S. presidential election, social network sites such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. But do political activities on Facebook affect political participation among young voters, a group traditionally perceived as apathetic in regard to civic engagement? Or do these activities represent another example of feel-good participation that has little real-world impact, a concept often referred to as "slacktivism"? Results from a survey of undergraduate students (N = 683) at a large public university in the Midwestern United States conducted in the month prior to the election found that students tend to engage in lightweight political participation both on Facebook and in other venues. Furthermore, two OLS regressions found that political activity on Facebook (e.g., posting a politically oriented status update, becoming a "fan" of a candidate) is a significant predictor of other forms of political participation (e.g., volunteering for an organizing, signing a paper or online petition), and that a number of factors--including intensity of Facebook use and the political activity users see their friends performing on the site--predict political activity on Facebook. Students' perceptions regarding the appropriateness of political activity on Facebook, as well as the specific kinds of political activities they engaged in and witnessed within the site, were also explored.

The balanced ideological antipathy model: explaining the effects of ideological attitudes on inter-group antipathy across the political spectrum.

PubMed

Crawford, Jarret T; Mallinas, Stephanie R; Furman, Bryan J

2015-12-01

We introduce the balanced ideological antipathy (BIA) model, which challenges assumptions that right-wing authoritarianism (RWA) and social dominance orientation (SDO) predict inter-group antipathy per se. Rather, the effects of RWA and SDO on antipathy should depend on the target's political orientation and political objectives, the specific components of RWA, and the type of antipathy expressed. Consistent with the model, two studies (N = 585) showed that the Traditionalism component of RWA positively and negatively predicted both political intolerance and prejudice toward tradition-threatening and -reaffirming groups, respectively, whereas SDO positively and negatively predicted prejudice (and to some extent political intolerance) toward hierarchy-attenuating and -enhancing groups, respectively. Critically, the Conservatism component of RWA positively predicted political intolerance (but not prejudice) toward each type of target group, suggesting it captures the anti-democratic impulse at the heart of authoritarianism. Recommendations for future research on the relationship between ideological attitudes and inter-group antipathy are discussed. © 2015 by the Society for Personality and Social Psychology, Inc.

Criticising with Foucault: Towards a Guiding Framework for Socio-Political Studies in Mathematics Education

ERIC Educational Resources Information Center

Kollosche, David

2016-01-01

Socio-political studies in mathematics education often touch complex fields of interaction between education, mathematics and the political. In this paper I present a Foucault-based framework for socio-political studies in mathematics education which may guide research in that area. In order to show the potential of such a framework, I discuss the…

Auditory Brainstem Response to Complex Sounds Predicts Self-Reported Speech-in-Noise Performance

ERIC Educational Resources Information Center

Anderson, Samira; Parbery-Clark, Alexandra; White-Schwoch, Travis; Kraus, Nina

2013-01-01

Purpose: To compare the ability of the auditory brainstem response to complex sounds (cABR) to predict subjective ratings of speech understanding in noise on the Speech, Spatial, and Qualities of Hearing Scale (SSQ; Gatehouse & Noble, 2004) relative to the predictive ability of the Quick Speech-in-Noise test (QuickSIN; Killion, Niquette,…

Intersectional Political Consciousness: Appreciation for Intragroup Differences and Solidarity in Diverse Groups

ERIC Educational Resources Information Center

Greenwood, Ronni Michelle

2008-01-01

This article introduces an intersectional approach to political consciousness and presents data to demonstrate its importance for predicting solidarity in diverse social change organizations. Women activists (N = 174) completed measures of political consciousness, diversity, and solidarity. As expected, women differed in the degree to which their…

Globalisation, complex humanitarian emergencies and health.

PubMed

O'Dempsey, T J D; Munslow, B

2006-01-01

A new political economy of conflict has emerged in the aftermath of colonialism and the Cold War. Complex political emergencies have been simmering in the post-colonial world for more than three decades. Intra-country armed conflict, often combined with natural disasters, at present contributes to the displacement of over 20 million people world-wide. The international community remains profoundly uncomfortable with the complex political emergencies of the new era, torn between the respect for national sovereignty upon which the international political system of the United Nations and other agencies is built, and the growth of concern with human rights and a burgeoning International Humanitarian Law. Globalisation may have brought many benefits to some but there are also many losers. The Word Bank and the International Monetary Fund imposed structural adjustment policies to ensure debt repayment and economic restructuring that have resulted in a net reduction in expenditure on health, education and development. A downward spiral has been created of debt, disease, malnutrition, missed education, economic entrapment, poverty, powerlessness, marginalization, migration and instability. Africa's complex political emergencies are particularly virulent and tenacious. Three examples that are among the most serious humanitarian emergencies to have faced the world in recent times--those in Angola, the Democratic Republic of Congo and Sudan--are reviewed here in detail. The political evolution of these emergencies and their impact on the health of the affected populations are also explored.

Political Education as a Means of Political Socialization.

ERIC Educational Resources Information Center

Grabe, Weronika; Knobelsdorf, Wodzimierz

1980-01-01

This essay describes the dimensions of political socialization with systematic political education as a major component. Both promote individual acceptance of political norms--particularly where government and school systems are tightly linked. The authors argue that political socialization should promote effective citizenship rather than simply…

Psychometric properties of a Chinese translation of the political skill inventory.

PubMed

Shi, Junqi; Chen, Zhuo

2012-02-01

Ferris and colleagues defined political skill in organizations as "the ability to effectively understand others at work and to use such knowledge to influence others to act in ways that enhance one's personal and/or organizational objectives." In this study, the psychometric properties of a Chinese translation of the Political Skill Inventory were investigated, supporting construct, convergent, discriminant, and criterion validities. The results suggested that the Chinese translation retained a four-factor structure. Political skill was positively correlated with self-monitoring, conscientiousness, political savvy, emotional intelligence, extraversion, agreeableness, and proactive personality, and was negatively correlated with trait anxiety and external locus of control. After controlling for age, sex, and job tenure, political skill was predictive of task performance, work contribution, and interpersonal help.

Political party affiliation, political ideology and mortality.

PubMed

Pabayo, Roman; Kawachi, Ichiro; Muennig, Peter

2015-05-01

Ecological and cross-sectional studies have indicated that conservative political ideology is associated with better health. Longitudinal analyses of mortality are needed because subjective assessments of ideology may confound subjective assessments of health, particularly in cross-sectional analyses. Data were derived from the 2008 General Social Survey-National Death Index data set. Cox proportional analysis models were used to determine whether political party affiliation or political ideology was associated with time to death. Also, we attempted to identify whether self-reported happiness and self-rated health acted as mediators between political beliefs and time to death. In this analysis of 32,830 participants and a total follow-up time of 498,845 person-years, we find that political party affiliation and political ideology are associated with mortality. However, with the exception of independents (adjusted HR (AHR)=0.93, 95% CI 0.90 to 0.97), political party differences are explained by the participants' underlying sociodemographic characteristics. With respect to ideology, conservatives (AHR=1.06, 95% CI 1.01 to 1.12) and moderates (AHR=1.06, 95% CI 1.01 to 1.11) are at greater risk for mortality during follow-up than liberals. Political party affiliation and political ideology appear to be different predictors of mortality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

The Politics of Education: From Political Science to Multidisciplinary Inquiry.

ERIC Educational Resources Information Center

Wong, Kenneth K.

1994-01-01

Discusses how political science has shaped educational politics. Examines educational politics' contribution to political science theory-building, highlighting federalism, multiple power centers, race relations, and democratic schooling issues. Explores why educational politics researchers diverge from the new political science paradigm (the…

Apples, pears and porridge: the origins and impact of the search for 'coherence' between humanitarian and political responses to chronic political emergencies.

PubMed

Macrae, J; Leader, N

2001-12-01

During the 1990s a consensus emerged within the international humanitarian system that there was a need to enhance the 'coherence' between humanitarian and political responses to complex political emergencies. Closer integration between aid and political responses was seen to be necessary in order to address the root causes of conflict-induced crises, and to ensure that aid did not exacerbate political tensions. This paper explores the theory and practice of coherence over the past decade. It argues that, by sleight of hand, the coherence agenda has been reinterpreted such that humanitarian action has become the primary form of political action, rather than merely a substitute for it. The coherence agenda has been driven by geopolitical events, domestic policy considerations in donor countries and the more parochial concerns of aid policy, and is reflected in a number of substantive changes in the humanitarian architecture. Many of the tenets of this 'new humanitarianism' have been embraced by the majority of relief agencies, and thus legitimised it. The paper concludes that political humanitarianism, as opposed to active engagement by political and military actors, is flawed ethically and technically. It will provide neither an effective palliative for the ill effects of war, nor address its causes.

"Is political behavior a viable coping strategy to perceived organizational politics? Unveiling the underlying resource dynamics": Correction to Sun and Chen (2017).

PubMed

2017-10-01

Reports an error in "Is Political Behavior a Viable Coping Strategy to Perceived Organizational Politics? Unveiling the Underlying Resource Dynamics" by Shuhua Sun and Huaizhong Chen ( Journal of Applied Psychology , Advanced Online Publication, May 22, 2017, np). In the article, Table 1 contained a formatting error. Correlation coefficient values in the last four cells of column 6 were misplaced with correlation coefficient values in the last four cells of column 7. All versions of this article have been corrected. (The following abstract of the original article appeared in record 2017-22542-001.) We conduct a theory-driven empirical investigation on whether political behavior, as a coping strategy to perceived organizational politics, creates resource trade-offs in moderating the relationship between perceived organizational politics and task performance. Drawing on conservation of resources theory, we hypothesize that political behavior mitigates the adverse effect of perceived organizational politics on task performance via psychological empowerment, yet exacerbates its adverse effect on task performance via emotional exhaustion. Three-wave multisource data from a sample of 222 employees and their 75 supervisors were collected for hypothesis testing. Findings supported our hypotheses. Our study enhances understandings of the complex resource dynamics of using political behavior to cope with perceived organizational politics and highlights the need to move stress-coping research from a focus on the stress-buffering effect of coping on outcomes to a focus on the underlying competing resource dynamics. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Link prediction based on local weighted paths for complex networks

NASA Astrophysics Data System (ADS)

Yao, Yabing; Zhang, Ruisheng; Yang, Fan; Yuan, Yongna; Hu, Rongjing; Zhao, Zhili

As a significant problem in complex networks, link prediction aims to find the missing and future links between two unconnected nodes by estimating the existence likelihood of potential links. It plays an important role in understanding the evolution mechanism of networks and has broad applications in practice. In order to improve prediction performance, a variety of structural similarity-based methods that rely on different topological features have been put forward. As one topological feature, the path information between node pairs is utilized to calculate the node similarity. However, many path-dependent methods neglect the different contributions of paths for a pair of nodes. In this paper, a local weighted path (LWP) index is proposed to differentiate the contributions between paths. The LWP index considers the effect of the link degrees of intermediate links and the connectivity influence of intermediate nodes on paths to quantify the path weight in the prediction procedure. The experimental results on 12 real-world networks show that the LWP index outperforms other seven prediction baselines.

Geographic and ecologic distributions of the Anopheles gambiae complex predicted using a genetic algorithm.

PubMed

Levine, Rebecca S; Peterson, A Townsend; Benedict, Mark Q

2004-02-01

The distribution of the Anopheles gambiae complex of malaria vectors in Africa is uncertain due to under-sampling of vast regions. We use ecologic niche modeling to predict the potential distribution of three members of the complex (A. gambiae, A. arabiensis, and A. quadriannulatus) and demonstrate the statistical significance of the models. Predictions correspond well to previous estimates, but provide detail regarding spatial discontinuities in the distribution of A. gambiae s.s. that are consistent with population genetic studies. Our predictions also identify large areas of Africa where the presence of A. arabiensis is predicted, but few specimens have been obtained, suggesting under-sampling of the species. Finally, we project models developed from African distribution data for the late 1900s into the past and to South America to determine retrospectively whether the deadly 1929 introduction of A. gambiae sensu lato into Brazil was more likely that of A. gambiae sensu stricto or A. arabiensis.

Do organizational and political-legal arrangements explain financial wrongdoing?

PubMed

Prechel, Harland; Zheng, Lu

2016-12-01

The 2008 financial crisis was a systemic problem with deep-rooted structural causes that created opportunities to engage in financial malfeasance, a form of corporate wrongdoing. However, few quantitative studies exist on the effects of organizational and political-legal arrangements on financial malfeasance. In this paper, we examine the effects of organizational and political-legal arrangements that emerged in the 1990s in the FIRE sector (i.e., financial, insurance, and real estate) on financial malfeasance. Our historical contextualization demonstrates how changes in the political-legal arrangements facilitate the emergence of new corporate structures and opportunities for financial malfeasance. Our longitudinal quantitative analysis demonstrates that US FIRE sector corporations with a more complex organizational structure, larger size, lower dividend payment, and higher executive compensation are more prone to commit financial malfeasance. © London School of Economics and Political Science 2016.

Political Science and Political Geography: Neglected Areas, Areas for Development.

ERIC Educational Resources Information Center

Laponce, J. A.

1983-01-01

Since at least the 1950s, political scientists have tended to ignore the possible contributions of political geography to political science because of a move away from considering spatial factors on political structure. Political scientists need to use more information from geography to enhance their understanding of political power and conflict.…

Government instability shifts skin tone representations of and intentions to vote for political candidates.

PubMed

Stern, Chadly; Balcetis, Emily; Cole, Shana; West, Tessa V; Caruso, Eugene M

2016-01-01

Does government stability shift the way White and Black Americans represent and make voting decisions about political candidates? Participants judged how representative lightened, darkened, and unaltered photographs were of a racially ambiguous candidate ostensibly running for political office (Studies 1-3). When the governmental system was presented as stable, White participants who shared (vs. did not share) the candidate's political beliefs rated a lightened photo as more representative of the candidate, and Black participants who shared (vs. did not share) the candidate's political beliefs rated a darkened photo as more representative (Studies 1-3). However, under conditions of instability, both Whites and Blacks who shared (vs. did not share) the candidate's political beliefs rated a lightened photo as more representative (Study 3). Representations of (Studies 2 and 3) and actual differences in (Studies 4a and 4b) skin tone predicted intentions to vote for candidates, as a function of government stability and participants' race. Further evidence suggested that system stability shifted the motivations that guided voting decisions (Study 4a and 4b). When the system was stable, the motivation to enhance one's group predicted greater intentions to vote for lighter skinned candidates among Whites, and greater intentions to vote for darker skinned candidates among Blacks. When the system was unstable, however, lacking confidence in the sociopolitical system predicted intentions to vote for lighter skinned candidates among both Whites and Blacks. Implications for political leadership and social perception are discussed. (c) 2016 APA, all rights reserved).

Using the Concept of Transient Complex for Affinity Predictions in CAPRI Rounds 20–27 and Beyond

PubMed Central

Qin, Sanbo; Zhou, Huan-Xiang

2013-01-01

Predictions of protein-protein binders and binding affinities have traditionally focused on features pertaining to the native complexes. In developing a computational method for predicting protein-protein association rate constants, we introduced the concept of transient complex after mapping the interaction energy surface. The transient complex is located at the outer boundary of the bound-state energy well, having near-native separation and relative orientation between the subunits but not yet formed most of the short-range native interactions. We found that the width of the binding funnel and the electrostatic interaction energy of the transient complex are among the features predictive of binders and binding affinities. These ideas were very promising for the five affinity-related targets (T43–45, 55, and 56) of CAPRI rounds 20–27. For T43, we ranked the single crystallographic complex as number 1 and were one of only two groups that clearly identified that complex as a true binder; for T44, we ranked the only design with measurable binding affinity as number 4. For the nine docking targets, continuing on our success in previous CAPRI rounds, we produced 10 medium-quality models for T47 and acceptable models for T48 and T49. We conclude that the interaction energy landscape and the transient complex in particular will complement existing features in leading to better prediction of binding affinities. PMID:23873496

Effects of Political Knowledge on Political Tolerance

ERIC Educational Resources Information Center

Hall, John Powell

2018-01-01

Sexual orientation continues to be an explosive issue in American classrooms. Increasing the political knowledge of students can reduce the volatility of this explosive issue by increasing tolerance toward the lesbian, gay, bisexual, and transgender community. This relationship between political knowledge and political tolerance has been…

Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?

Treesearch

Wenchi Jin; Hong S. He; Frank R. Thompson

2016-01-01

Process-based forest ecosystem models vary from simple physiological, complex physiological, to hybrid empirical-physiological models. Previous studies indicate that complex models provide the best prediction at plot scale with a temporal extent of less than 10 years, however, it is largely untested as to whether complex models outperform the other two types of models...

Regional Differences in Brain Volume Predict the Acquisition of Skill in a Complex Real-Time Strategy Videogame

PubMed Central

Basak, Chandramallika; Voss, Michelle W.; Erickson, Kirk I.; Boot, Walter R.; Kramer, Arthur F.

2015-01-01

Previous studies have found that differences in brain volume among older adults predict performance in laboratory tasks of executive control, memory, and motor learning. In the present study we asked whether regional differences in brain volume as assessed by the application of a voxel-based morphometry technique on high resolution MRI would also be useful in predicting the acquisition of skill in complex tasks, such as strategy-based video games. Twenty older adults were trained for over 20 hours to play Rise of Nations, a complex real-time strategy game. These adults showed substantial improvements over the training period in game performance. MRI scans obtained prior to training revealed that the volume of a number of brain regions, which have been previously associated with subsets of the trained skills, predicted a substantial amount of variance in learning on the complex game. Thus, regional differences in brain volume can predict learning in complex tasks that entail the use of a variety of perceptual, cognitive and motor processes. PMID:21546146

Regional differences in brain volume predict the acquisition of skill in a complex real-time strategy videogame.

PubMed

Basak, Chandramallika; Voss, Michelle W; Erickson, Kirk I; Boot, Walter R; Kramer, Arthur F

2011-08-01

Previous studies have found that differences in brain volume among older adults predict performance in laboratory tasks of executive control, memory, and motor learning. In the present study we asked whether regional differences in brain volume as assessed by the application of a voxel-based morphometry technique on high resolution MRI would also be useful in predicting the acquisition of skill in complex tasks, such as strategy-based video games. Twenty older adults were trained for over 20 h to play Rise of Nations, a complex real-time strategy game. These adults showed substantial improvements over the training period in game performance. MRI scans obtained prior to training revealed that the volume of a number of brain regions, which have been previously associated with subsets of the trained skills, predicted a substantial amount of variance in learning on the complex game. Thus, regional differences in brain volume can predict learning in complex tasks that entail the use of a variety of perceptual, cognitive and motor processes. Copyright © 2011 Elsevier Inc. All rights reserved.

Does cultural exposure partially explain the association between personality and political orientation?

PubMed

Xu, Xiaowen; Mar, Raymond A; Peterson, Jordan B

2013-11-01

Differences in political orientation are partly rooted in personality, with liberalism predicted by Openness to Experience and conservatism by Conscientiousness. Since Openness is positively associated with intellectual and creative activities, these may help shape political orientation. We examined whether exposure to cultural activities and historical knowledge mediates the relationship between personality and political orientation. Specifically, we examined the mediational role of print exposure (Study 1), film exposure (Study 2), and knowledge of American history (Study 3). Studies 1 and 2 found that print and film exposure mediated the relationships Openness to Experience and Conscientiousness have with political orientation. In Study 3, knowledge of American history mediated the relationship between Openness and political orientation, but not the association between Conscientiousness and political orientation. Exposure to culture, and a corollary of this exposure in the form of acquiring knowledge, can therefore partially explain the associations between personality and political orientation.

A novel prediction method about single components of analog circuits based on complex field modeling.

PubMed

Zhou, Jingyu; Tian, Shulin; Yang, Chenglin

2014-01-01

Few researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem, this paper proposes a novel prediction method about single components of analog circuits based on complex field modeling. Aiming at the feature that faults of single components hold the largest number in analog circuits, the method starts with circuit structure, analyzes transfer function of circuits, and implements complex field modeling. Then, by an established parameter scanning model related to complex field, it analyzes the relationship between parameter variation and degeneration of single components in the model in order to obtain a more reasonable FI feature set via calculation. According to the obtained FI feature set, it establishes a novel model about degeneration trend of analog circuits' single components. At last, it uses particle filter (PF) to update parameters for the model and predicts remaining useful performance (RUP) of analog circuits' single components. Since calculation about the FI feature set is more reasonable, accuracy of prediction is improved to some extent. Finally, the foregoing conclusions are verified by experiments.

Who crosses the norms? Predictors of the readiness for non-normative political participation among adolescents.

PubMed

Šerek, Jan; Machackova, Hana; Macek, Petr

2018-01-01

This study investigated whether adolescents' readiness for non-normative political participation (i.e., readiness to confront social rules for political reasons) was predicted by their interpersonal problems (with parents, teachers, and classmates), low optimism, and political beliefs (political self-efficacy and distrust in public institutions). A structural equation model using two-wave longitudinal data from Czech high school students (N = 768; 54% females; age range at T1 = 14-17, M = 15.97; T2 data collected 1.5 years later) showed that the changes in adolescents' readiness for non-normative participation were predicted by their lower institutional trust. Interpersonal relationships or optimism had no cross-sectional or longitudinal effect on the readiness for non-normative participation. These results suggest that the main source of adolescents' readiness for non-normative political actions lies in their political beliefs, while the effect of adolescents' interpersonal problems is less clear. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Serenity in political uncertainty.

PubMed

Doumit, Rita; Afifi, Rema A; Devon, Holli A

2015-01-01

College students are often faced with academic and personal stressors that threaten their well-being. Added to that may be political and environmental stressors such as acts of violence on the streets, interruptions in schooling, car bombings, targeted religious intimidations, financial hardship, and uncertainty of obtaining a job after graduation. Research on how college students adapt to the latter stressors is limited. The aims of this study were (1) to investigate the associations between stress, uncertainty, resilience, social support, withdrawal coping, and well-being for Lebanese youth during their first year of college and (2) to determine whether these variables predicted well-being. A sample of 293 first-year students enrolled in a private university in Lebanon completed a self-reported questionnaire in the classroom setting. The mean age of sample participants was 18.1 years, with nearly an equal percentage of males and females (53.2% vs 46.8%), who lived with their family (92.5%), and whose family reported high income levels (68.4%). Multiple regression analyses revealed that best determinants of well-being are resilience, uncertainty, social support, and gender that accounted for 54.1% of the variance. Despite living in an environment of frequent violence and political uncertainty, Lebanese youth in this study have a strong sense of well-being and are able to go on with their lives. This research adds to our understanding on how adolescents can adapt to stressors of frequent violence and political uncertainty. Further research is recommended to understand the mechanisms through which young people cope with political uncertainty and violence.

Data based identification and prediction of nonlinear and complex dynamical systems

NASA Astrophysics Data System (ADS)

Wang, Wen-Xu; Lai, Ying-Cheng; Grebogi, Celso

2016-07-01

The problem of reconstructing nonlinear and complex dynamical systems from measured data or time series is central to many scientific disciplines including physical, biological, computer, and social sciences, as well as engineering and economics. The classic approach to phase-space reconstruction through the methodology of delay-coordinate embedding has been practiced for more than three decades, but the paradigm is effective mostly for low-dimensional dynamical systems. Often, the methodology yields only a topological correspondence of the original system. There are situations in various fields of science and engineering where the systems of interest are complex and high dimensional with many interacting components. A complex system typically exhibits a rich variety of collective dynamics, and it is of great interest to be able to detect, classify, understand, predict, and control the dynamics using data that are becoming increasingly accessible due to the advances of modern information technology. To accomplish these goals, especially prediction and control, an accurate reconstruction of the original system is required. Nonlinear and complex systems identification aims at inferring, from data, the mathematical equations that govern the dynamical evolution and the complex interaction patterns, or topology, among the various components of the system. With successful reconstruction of the system equations and the connecting topology, it may be possible to address challenging and significant problems such as identification of causal relations among the interacting components and detection of hidden nodes. The "inverse" problem thus presents a grand challenge, requiring new paradigms beyond the traditional delay-coordinate embedding methodology. The past fifteen years have witnessed rapid development of contemporary complex graph theory with broad applications in interdisciplinary science and engineering. The combination of graph, information, and nonlinear dynamical

Predicting environmental mitigation requirements for hydropower projects through the integration of biophysical and socio-political geographies

DOE PAGES

Bevelhimer, Mark S.; DeRolph, Christopher R.; Schramm, Michael P.

2016-06-06

Uncertainty about environmental mitigation needs at existing and proposed hydropower projects makes it difficult for stakeholders to minimize environmental impacts. Hydropower developers and operators desire tools to better anticipate mitigation requirements, while natural resource managers and regulators need tools to evaluate different mitigation scenarios and order effective mitigation. Here we sought to examine the feasibility of using a suite of multidisciplinary explanatory variables within a spatially explicit modeling framework to fit predictive models for future environmental mitigation requirements at hydropower projects across the conterminous U.S. Using a database comprised of mitigation requirements from more than 300 hydropower project licenses, wemore » were able to successfully fit models for nearly 50 types of environmental mitigation and to apply the predictive models to a set of more than 500 non-powered dams identified as having hydropower potential. The results demonstrate that mitigation requirements have been a result of a range of factors, from biological and hydrological to political and cultural. Furthermore, project developers can use these models to inform cost projections and design considerations, while regulators can use the models to more quickly identify likely environmental issues and potential solutions, hopefully resulting in more timely and more effective decisions on environmental mitigation.« less

Predicting environmental mitigation requirements for hydropower projects through the integration of biophysical and socio-political geographies.

PubMed

DeRolph, Christopher R; Schramm, Michael P; Bevelhimer, Mark S

2016-10-01

Uncertainty about environmental mitigation needs at existing and proposed hydropower projects makes it difficult for stakeholders to minimize environmental impacts. Hydropower developers and operators desire tools to better anticipate mitigation requirements, while natural resource managers and regulators need tools to evaluate different mitigation scenarios and order effective mitigation. Here we sought to examine the feasibility of using a suite of multi-faceted explanatory variables within a spatially explicit modeling framework to fit predictive models for future environmental mitigation requirements at hydropower projects across the conterminous U.S. Using a database comprised of mitigation requirements from more than 300 hydropower project licenses, we were able to successfully fit models for nearly 50 types of environmental mitigation and to apply the predictive models to a set of more than 500 non-powered dams identified as having hydropower potential. The results demonstrate that mitigation requirements are functions of a range of factors, from biophysical to socio-political. Project developers can use these models to inform cost projections and design considerations, while regulators can use the models to more quickly identify likely environmental issues and potential solutions, hopefully resulting in more timely and more effective decisions on environmental mitigation. Copyright © 2016 Elsevier B.V. All rights reserved.

Predicting environmental mitigation requirements for hydropower projects through the integration of biophysical and socio-political geographies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bevelhimer, Mark S.; DeRolph, Christopher R.; Schramm, Michael P.

Uncertainty about environmental mitigation needs at existing and proposed hydropower projects makes it difficult for stakeholders to minimize environmental impacts. Hydropower developers and operators desire tools to better anticipate mitigation requirements, while natural resource managers and regulators need tools to evaluate different mitigation scenarios and order effective mitigation. Here we sought to examine the feasibility of using a suite of multidisciplinary explanatory variables within a spatially explicit modeling framework to fit predictive models for future environmental mitigation requirements at hydropower projects across the conterminous U.S. Using a database comprised of mitigation requirements from more than 300 hydropower project licenses, wemore » were able to successfully fit models for nearly 50 types of environmental mitigation and to apply the predictive models to a set of more than 500 non-powered dams identified as having hydropower potential. The results demonstrate that mitigation requirements have been a result of a range of factors, from biological and hydrological to political and cultural. Furthermore, project developers can use these models to inform cost projections and design considerations, while regulators can use the models to more quickly identify likely environmental issues and potential solutions, hopefully resulting in more timely and more effective decisions on environmental mitigation.« less

Is the political animal politically ignorant? Applying evolutionary psychology to the study of political attitudes.

PubMed

Petersen, Michael Bang; Aarøe, Lene

2012-12-20

As evidenced by research in evolutionary psychology, humans have evolved sophisticated psychological mechanisms tailored to solve enduring adaptive problems of social life. Many of these social problems are political in nature and relate to the distribution of costs and benefits within and between groups. In that sense, evolutionary psychology suggests that humans are, by nature, political animals. By implication, a straightforward application of evolutionary psychology to the study of public opinion seems to entail that modern individuals find politics intrinsically interesting. Yet, as documented by more than fifty years of research in political science, people lack knowledge of basic features of the political process and the ability to form consistent political attitudes. By reviewing and integrating research in evolutionary psychology and public opinion, we describe (1) why modern mass politics often fail to activate evolved mechanisms and (2) the conditions in which these mechanisms are in fact triggered.

Fostering good citizenship through ethical leadership: exploring the moderating role of gender and organizational politics.

PubMed

Kacmar, K Michele; Bachrach, Daniel G; Harris, Kenneth J; Zivnuska, Suzanne

2011-05-01

Considering the implications of social exchange theory as a context for social role behavior, we tested relations between ethical leadership and both person- and task-focused organizational citizenship behavior and examined the roles played by employee gender and politics perceptions. Although social exchange theory predicts that ethical leadership is positively associated with citizenship, social role theory predicts that the nature of this relationship may vary on the basis of gender and politics perceptions. Results from data collected from 288 supervisor-subordinate dyads indicate that the pattern of male versus female employees' citizenship associated with ethical leadership depends significantly on their perceptions of politics. Implications for theory and practice are discussed.

Political psychology.

PubMed

Stone, Susanna; Johnson, Kate M; Beall, Erica; Meindl, Peter; Smith, Benjamin; Graham, Jesse

2014-07-01

Political psychology is a dynamic field of research that offers a unique blend of approaches and methods in the social and cognitive sciences. Political psychologists explore the interactions between macrolevel political structures and microlevel factors such as decision-making processes, motivations, and perceptions. In this article, we provide a broad overview of the field, beginning with a brief history of political psychology research and a summary of the primary methodological approaches in the field. We then give a more detailed account of research on ideology and social justice, two topics experiencing a resurgence of interest in current political psychology. Finally, we cover research on political persuasion and voting behavior. By summarizing these major areas of political psychology research, we hope to highlight the wide variety of theoretical and methodological approaches of cognitive scientists working at the intersection of psychology and political science. WIREs Cogn Sci 2014, 5:373-385. doi: 10.1002/wcs.1293 For further resources related to this article, please visit the WIREs website. The authors have declared no conflicts of interest for this article. © 2014 John Wiley & Sons, Ltd.

Albert Einstein and Friedrich Dessauer: Political Views and Political Practice

NASA Astrophysics Data System (ADS)

Goenner, Hubert

In this case study I compare the political views of the physicists Albert Einstein and Friedrich Dessauer between the first and second world wars, and I investigate their translation into concrete political practice. Both departed from their roles as experts in physics in favor of political engagement. The essence of Einstein's political practice seems to have been a form of political participation in exerting moral influence on people and organizations through public declarations and appeals in isolation from political mass movements. Dessauer exerted political influence both through public office (as a member of Parliament for the Catholic Center Party) and by acquiring a newspaper. The different political practice of both Einstein and Dessauer were unsuccessful in thwarting the Nazi takeover.

A Political Philosophy Approach to Teaching American Politics.

ERIC Educational Resources Information Center

Bailey, Kevin E.

1982-01-01

Suggests an alternative to the civic training, political indoctrination, and descriptive presentation approaches used to teaching American government courses. Recommends a political philosophy approach within a framework of elite theory to help students develop a critical perspective on American politics. (DMM)

[Political psychology].

PubMed

Resch, Mária; Bella, Tamás

2013-04-21

In Hungary one can mostly find references to the psychological processes of politics in the writings of publicists, public opinion pollsters, philosophers, social psychologists, and political analysts. It would be still important if not only legal scientists focusing on political institutions or sociologist-politologists concentrating on social structures could analyse the psychological aspects of political processes; but one could also do so through the application of the methods of political psychology. The authors review the history of political psychology, its position vis-à-vis other fields of science and the essential interfaces through which this field of science, which is still to be discovered in Hungary, connects to other social sciences. As far as its methodology comprising psycho-biographical analyses, questionnaire-based queries, cognitive mapping of interviews and statements are concerned, it is identical with the psychiatric tools of medical sciences. In the next part of this paper, the focus is shifted to the essence and contents of political psychology. Group dynamics properties, voters' attitudes, leaders' personalities and the behavioural patterns demonstrated by them in different political situations, authoritativeness, games, and charisma are all essential components of political psychology, which mostly analyses psychological-psychiatric processes and also involves medical sciences by relying on cognitive and behavioural sciences. This paper describes political psychology, which is basically part of social sciences, still, being an interdisciplinary science, has several ties to medical sciences through psychological and psychiatric aspects.

Kernel-based whole-genome prediction of complex traits: a review.

PubMed

Morota, Gota; Gianola, Daniel

2014-01-01

Prediction of genetic values has been a focus of applied quantitative genetics since the beginning of the 20th century, with renewed interest following the advent of the era of whole genome-enabled prediction. Opportunities offered by the emergence of high-dimensional genomic data fueled by post-Sanger sequencing technologies, especially molecular markers, have driven researchers to extend Ronald Fisher and Sewall Wright's models to confront new challenges. In particular, kernel methods are gaining consideration as a regression method of choice for genome-enabled prediction. Complex traits are presumably influenced by many genomic regions working in concert with others (clearly so when considering pathways), thus generating interactions. Motivated by this view, a growing number of statistical approaches based on kernels attempt to capture non-additive effects, either parametrically or non-parametrically. This review centers on whole-genome regression using kernel methods applied to a wide range of quantitative traits of agricultural importance in animals and plants. We discuss various kernel-based approaches tailored to capturing total genetic variation, with the aim of arriving at an enhanced predictive performance in the light of available genome annotation information. Connections between prediction machines born in animal breeding, statistics, and machine learning are revisited, and their empirical prediction performance is discussed. Overall, while some encouraging results have been obtained with non-parametric kernels, recovering non-additive genetic variation in a validation dataset remains a challenge in quantitative genetics.

Predictive model of complexity in early palliative care: a cohort of advanced cancer patients (PALCOM study).

PubMed

Tuca, Albert; Gómez-Martínez, Mónica; Prat, Aleix

2018-01-01

Model of early palliative care (PC) integrated in oncology is based on shared care from the diagnosis to the end of life and is mainly focused on patients with greater complexity. However, there is no definition or tools to evaluate PC complexity. The objectives of the study were to identify the factors influencing level determination of complexity, propose predictive models, and build a complexity scale of PC. We performed a prospective, observational, multicenter study in a cohort of advanced cancer patients with an estimated prognosis ≤ 6 months. An ad hoc structured evaluation including socio-demographic and clinical data, symptom burden, functional and cognitive status, psychosocial problems, and existential-ethic dilemmas was recorded systematically. According to this multidimensional evaluation, investigator classified patients as high, medium, or low palliative complexity, associated to need of basic or specialized PC. Logistic regression was used to identify the variables influencing determination of level of PC complexity and explore predictive models. We included 324 patients; 41% were classified as having high PC complexity and 42.9% as medium, both levels being associated with specialized PC. Variables influencing determination of PC complexity were as follows: high symptom burden (OR 3.19 95%CI: 1.72-6.17), difficult pain (OR 2.81 95%CI:1.64-4.9), functional status (OR 0.99 95%CI:0.98-0.9), and social-ethical existential risk factors (OR 3.11 95%CI:1.73-5.77). Logistic analysis of variables allowed construct a complexity model and structured scales (PALCOM 1 and 2) with high predictive value (AUC ROC 76%). This study provides a new model and tools to assess complexity in palliative care, which may be very useful to manage referral to specialized PC services, and agree intensity of their intervention in a model of early-shared care integrated in oncology.

Questions regarding the predictive value of one evolved complex adaptive system for a second: exemplified by the SOD1 mouse.

PubMed

Greek, Ray; Hansen, Lawrence A

2013-11-01

We surveyed the scientific literature regarding amyotrophic lateral sclerosis, the SOD1 mouse model, complex adaptive systems, evolution, drug development, animal models, and philosophy of science in an attempt to analyze the SOD1 mouse model of amyotrophic lateral sclerosis in the context of evolved complex adaptive systems. Humans and animals are examples of evolved complex adaptive systems. It is difficult to predict the outcome from perturbations to such systems because of the characteristics of complex systems. Modeling even one complex adaptive system in order to predict outcomes from perturbations is difficult. Predicting outcomes to one evolved complex adaptive system based on outcomes from a second, especially when the perturbation occurs at higher levels of organization, is even more problematic. Using animal models to predict human outcomes to perturbations such as disease and drugs should have a very low predictive value. We present empirical evidence confirming this and suggest a theory to explain this phenomenon. We analyze the SOD1 mouse model of amyotrophic lateral sclerosis in order to illustrate this position. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling

PubMed Central

Tian, Shulin; Yang, Chenglin

2014-01-01

Few researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem, this paper proposes a novel prediction method about single components of analog circuits based on complex field modeling. Aiming at the feature that faults of single components hold the largest number in analog circuits, the method starts with circuit structure, analyzes transfer function of circuits, and implements complex field modeling. Then, by an established parameter scanning model related to complex field, it analyzes the relationship between parameter variation and degeneration of single components in the model in order to obtain a more reasonable FI feature set via calculation. According to the obtained FI feature set, it establishes a novel model about degeneration trend of analog circuits' single components. At last, it uses particle filter (PF) to update parameters for the model and predicts remaining useful performance (RUP) of analog circuits' single components. Since calculation about the FI feature set is more reasonable, accuracy of prediction is improved to some extent. Finally, the foregoing conclusions are verified by experiments. PMID:25147853

Hidden state prediction: a modification of classic ancestral state reconstruction algorithms helps unravel complex symbioses

PubMed Central

Zaneveld, Jesse R. R.; Thurber, Rebecca L. V.

2014-01-01

Complex symbioses between animal or plant hosts and their associated microbiotas can involve thousands of species and millions of genes. Because of the number of interacting partners, it is often impractical to study all organisms or genes in these host-microbe symbioses individually. Yet new phylogenetic predictive methods can use the wealth of accumulated data on diverse model organisms to make inferences into the properties of less well-studied species and gene families. Predictive functional profiling methods use evolutionary models based on the properties of studied relatives to put bounds on the likely characteristics of an organism or gene that has not yet been studied in detail. These techniques have been applied to predict diverse features of host-associated microbial communities ranging from the enzymatic function of uncharacterized genes to the gene content of uncultured microorganisms. We consider these phylogenetically informed predictive techniques from disparate fields as examples of a general class of algorithms for Hidden State Prediction (HSP), and argue that HSP methods have broad value in predicting organismal traits in a variety of contexts, including the study of complex host-microbe symbioses. PMID:25202302

Hidden state prediction: a modification of classic ancestral state reconstruction algorithms helps unravel complex symbioses.

PubMed

Zaneveld, Jesse R R; Thurber, Rebecca L V

2014-01-01

Complex symbioses between animal or plant hosts and their associated microbiotas can involve thousands of species and millions of genes. Because of the number of interacting partners, it is often impractical to study all organisms or genes in these host-microbe symbioses individually. Yet new phylogenetic predictive methods can use the wealth of accumulated data on diverse model organisms to make inferences into the properties of less well-studied species and gene families. Predictive functional profiling methods use evolutionary models based on the properties of studied relatives to put bounds on the likely characteristics of an organism or gene that has not yet been studied in detail. These techniques have been applied to predict diverse features of host-associated microbial communities ranging from the enzymatic function of uncharacterized genes to the gene content of uncultured microorganisms. We consider these phylogenetically informed predictive techniques from disparate fields as examples of a general class of algorithms for Hidden State Prediction (HSP), and argue that HSP methods have broad value in predicting organismal traits in a variety of contexts, including the study of complex host-microbe symbioses.

Automatic processing of political preferences in the human brain.

PubMed

Tusche, Anita; Kahnt, Thorsten; Wisniewski, David; Haynes, John-Dylan

2013-05-15

Individual political preferences as expressed, for instance, in votes or donations are fundamental to democratic societies. However, the relevance of deliberative processing for political preferences has been highly debated, putting automatic processes in the focus of attention. Based on this notion, the present study tested whether brain responses reflect participants' preferences for politicians and their associated political parties in the absence of explicit deliberation and attention. Participants were instructed to perform a demanding visual fixation task while their brain responses were measured using fMRI. Occasionally, task-irrelevant images of German politicians from two major competing parties were presented in the background while the distraction task was continued. Subsequent to scanning, participants' political preferences for these politicians and their affiliated parties were obtained. Brain responses in distinct brain areas predicted automatic political preferences at the different levels of abstraction: activation in the ventral striatum was positively correlated with preference ranks for unattended politicians, whereas participants' preferences for the affiliated political parties were reflected in activity in the insula and the cingulate cortex. Using an additional donation task, we showed that the automatic preference-related processing in the brain extended to real-world behavior that involved actual financial loss to participants. Together, these findings indicate that brain responses triggered by unattended and task-irrelevant political images reflect individual political preferences at different levels of abstraction. Copyright © 2013 Elsevier Inc. All rights reserved.

Convenient QSAR model for predicting the complexation of structurally diverse compounds with beta-cyclodextrins.

PubMed

Pérez-Garrido, Alfonso; Morales Helguera, Aliuska; Abellán Guillén, Adela; Cordeiro, M Natália D S; Garrido Escudero, Amalio

2009-01-15

This paper reports a QSAR study for predicting the complexation of a large and heterogeneous variety of substances (233 organic compounds) with beta-cyclodextrins (beta-CDs). Several different theoretical molecular descriptors, calculated solely from the molecular structure of the compounds under investigation, and an efficient variable selection procedure, like the Genetic Algorithm, led to models with satisfactory global accuracy and predictivity. But the best-final QSAR model is based on Topological descriptors meanwhile offering a reasonable interpretation. This QSAR model was able to explain ca. 84% of the variance in the experimental activity, and displayed very good internal cross-validation statistics and predictivity on external data. It shows that the driving forces for CD complexation are mainly hydrophobic and steric (van der Waals) interactions. Thus, the results of our study provide a valuable tool for future screening and priority testing of beta-CDs guest molecules.

Political News and Political Consciousness

ERIC Educational Resources Information Center

Schertges, Claudia

2007-01-01

This article deals with mass media in modern democratic societies, using the example of Israeli news reports in German television (TV) news. Central to this interest are processes of mediating politics: political socialisation and education; that is to say, empowering citizens via TV news to participate in democratic processes. The article…

The political reference point: How geography shapes political identity.

PubMed

Feinberg, Matthew; Tullett, Alexa M; Mensch, Zachary; Hart, William; Gottlieb, Sara

2017-01-01

It is commonly assumed that how individuals identify on the political spectrum-whether liberal, conservative, or moderate-has a universal meaning when it comes to policy stances and voting behavior. But, does political identity mean the same thing from place to place? Using data collected from across the U.S. we find that even when people share the same political identity, those in "bluer" locations are more likely to support left-leaning policies and vote for Democratic candidates than those in "redder" locations. Because the meaning of political identity is inconsistent across locations, individuals who share the same political identity sometimes espouse opposing policy stances. Meanwhile, those with opposing identities sometimes endorse identical policy stances. Such findings suggest that researchers, campaigners, and pollsters must use caution when extrapolating policy preferences and voting behavior from political identity, and that animosity toward the other end of the political spectrum is sometimes misplaced.

Genetic influences on political ideologies: twin analyses of 19 measures of political ideologies from five democracies and genome-wide findings from three populations.

PubMed

Hatemi, Peter K; Medland, Sarah E; Klemmensen, Robert; Oskarsson, Sven; Littvay, Levente; Dawes, Christopher T; Verhulst, Brad; McDermott, Rose; Nørgaard, Asbjørn Sonne; Klofstad, Casey A; Christensen, Kaare; Johannesson, Magnus; Magnusson, Patrik K E; Eaves, Lindon J; Martin, Nicholas G

2014-05-01

Almost 40 years ago, evidence from large studies of adult twins and their relatives suggested that between 30 and 60% of the variance in social and political attitudes could be explained by genetic influences. However, these findings have not been widely accepted or incorporated into the dominant paradigms that explain the etiology of political ideology. This has been attributed in part to measurement and sample limitations, as well the relative absence of molecular genetic studies. Here we present results from original analyses of a combined sample of over 12,000 twins pairs, ascertained from nine different studies conducted in five democracies, sampled over the course of four decades. We provide evidence that genetic factors play a role in the formation of political ideology, regardless of how ideology is measured, the era, or the population sampled. The only exception is a question that explicitly uses the phrase "Left-Right". We then present results from one of the first genome-wide association studies on political ideology using data from three samples: a 1990 Australian sample involving 6,894 individuals from 3,516 families; a 2008 Australian sample of 1,160 related individuals from 635 families and a 2010 Swedish sample involving 3,334 individuals from 2,607 families. No polymorphisms reached genome-wide significance in the meta-analysis. The combined evidence suggests that political ideology constitutes a fundamental aspect of one's genetically informed psychological disposition, but as Fisher proposed long ago, genetic influences on complex traits will be composed of thousands of markers of very small effects and it will require extremely large samples to have enough power in order to identify specific polymorphisms related to complex social traits.

A Method to Predict the Structure and Stability of RNA/RNA Complexes.

PubMed

Xu, Xiaojun; Chen, Shi-Jie

2016-01-01

RNA/RNA interactions are essential for genomic RNA dimerization and regulation of gene expression. Intermolecular loop-loop base pairing is a widespread and functionally important tertiary structure motif in RNA machinery. However, computational prediction of intermolecular loop-loop base pairing is challenged by the entropy and free energy calculation due to the conformational constraint and the intermolecular interactions. In this chapter, we describe a recently developed statistical mechanics-based method for the prediction of RNA/RNA complex structures and stabilities. The method is based on the virtual bond RNA folding model (Vfold). The main emphasis in the method is placed on the evaluation of the entropy and free energy for the loops, especially tertiary kissing loops. The method also uses recursive partition function calculations and two-step screening algorithm for large, complicated structures of RNA/RNA complexes. As case studies, we use the HIV-1 Mal dimer and the siRNA/HIV-1 mutant (T4) to illustrate the method.

The use of stereotypes and individuating information in political person perception.

PubMed

Crawford, Jarret T; Jussim, Lee; Madon, Stephanie; Cain, Thomas R; Stevens, Sean T

2011-04-01

This article introduces the political person perception model, which identifies conditions under which perceivers rely on stereotypes (party membership), individuating information (issue position), or both in political person perception. Three studies supported the model's predictions. Study 1 showed that perceivers gave primacy to target information that was narrowly relevant to a judgment, whether that information was stereotypic or individuating. Study 2 found that perceivers relied exclusively on individuating information when it was narrowly relevant to the judgment and relied on both stereotype and individuating information when individuating information was not narrowly relevant to the judgment but did imply a political ideology. Study 3 replicated these findings in a more ecologically valid context and showed that people relied on party information in the absence of narrowly relevant policy positions and when individuating information did not imply a political ideology. Implications for political person perception and theories of stereotyping are discussed.

Speaking two "Languages" in America: A semantic space analysis of how presidential candidates and their supporters represent abstract political concepts differently.

PubMed

Li, Ping; Schloss, Benjamin; Follmer, D Jake

2017-10-01

In this article we report a computational semantic analysis of the presidential candidates' speeches in the two major political parties in the USA. In Study One, we modeled the political semantic spaces as a function of party, candidate, and time of election, and findings revealed patterns of differences in the semantic representation of key political concepts and the changing landscapes in which the presidential candidates align or misalign with their parties in terms of the representation and organization of politically central concepts. Our models further showed that the 2016 US presidential nominees had distinct conceptual representations from those of previous election years, and these patterns did not necessarily align with their respective political parties' average representation of the key political concepts. In Study Two, structural equation modeling demonstrated that reported political engagement among voters differentially predicted reported likelihoods of voting for Clinton versus Trump in the 2016 presidential election. Study Three indicated that Republicans and Democrats showed distinct, systematic word association patterns for the same concepts/terms, which could be reliably distinguished using machine learning methods. These studies suggest that given an individual's political beliefs, we can make reliable predictions about how they understand words, and given how an individual understands those same words, we can also predict an individual's political beliefs. Our study provides a bridge between semantic space models and abstract representations of political concepts on the one hand, and the representations of political concepts and citizens' voting behavior on the other.

MultiBLUP: improved SNP-based prediction for complex traits.

PubMed

Speed, Doug; Balding, David J

2014-09-01

BLUP (best linear unbiased prediction) is widely used to predict complex traits in plant and animal breeding, and increasingly in human genetics. The BLUP mathematical model, which consists of a single random effect term, was adequate when kinships were measured from pedigrees. However, when genome-wide SNPs are used to measure kinships, the BLUP model implicitly assumes that all SNPs have the same effect-size distribution, which is a severe and unnecessary limitation. We propose MultiBLUP, which extends the BLUP model to include multiple random effects, allowing greatly improved prediction when the random effects correspond to classes of SNPs with distinct effect-size variances. The SNP classes can be specified in advance, for example, based on SNP functional annotations, and we also provide an adaptive procedure for determining a suitable partition of SNPs. We apply MultiBLUP to genome-wide association data from the Wellcome Trust Case Control Consortium (seven diseases), and from much larger studies of celiac disease and inflammatory bowel disease, finding that it consistently provides better prediction than alternative methods. Moreover, MultiBLUP is computationally very efficient; for the largest data set, which includes 12,678 individuals and 1.5 M SNPs, the total analysis can be run on a single desktop PC in less than a day and can be parallelized to run even faster. Tools to perform MultiBLUP are freely available in our software LDAK. © 2014 Speed and Balding; Published by Cold Spring Harbor Laboratory Press.

Accurate structure prediction of peptide–MHC complexes for identifying highly immunogenic antigens

DOE Office of Scientific and Technical Information (OSTI.GOV)

Park, Min-Sun; Park, Sung Yong; Miller, Keith R.

2013-11-01

Designing an optimal HIV-1 vaccine faces the challenge of identifying antigens that induce a broad immune capacity. One factor to control the breadth of T cell responses is the surface morphology of a peptide–MHC complex. Here, we present an in silico protocol for predicting peptide–MHC structure. A robust signature of a conformational transition was identified during all-atom molecular dynamics, which results in a model with high accuracy. A large test set was used in constructing our protocol and we went another step further using a blind test with a wild-type peptide and two highly immunogenic mutants, which predicted substantial conformationalmore » changes in both mutants. The center residues at position five of the analogs were configured to be accessible to solvent, forming a prominent surface, while the residue of the wild-type peptide was to point laterally toward the side of the binding cleft. We then experimentally determined the structures of the blind test set, using high resolution of X-ray crystallography, which verified predicted conformational changes. Our observation strongly supports a positive association of the surface morphology of a peptide–MHC complex to its immunogenicity. Our study offers the prospect of enhancing immunogenicity of vaccines by identifying MHC binding immunogens.« less

The political reference point: How geography shapes political identity

PubMed Central

Feinberg, Matthew; Tullett, Alexa M.; Mensch, Zachary; Hart, William; Gottlieb, Sara

2017-01-01

It is commonly assumed that how individuals identify on the political spectrum–whether liberal, conservative, or moderate–has a universal meaning when it comes to policy stances and voting behavior. But, does political identity mean the same thing from place to place? Using data collected from across the U.S. we find that even when people share the same political identity, those in “bluer” locations are more likely to support left-leaning policies and vote for Democratic candidates than those in “redder” locations. Because the meaning of political identity is inconsistent across locations, individuals who share the same political identity sometimes espouse opposing policy stances. Meanwhile, those with opposing identities sometimes endorse identical policy stances. Such findings suggest that researchers, campaigners, and pollsters must use caution when extrapolating policy preferences and voting behavior from political identity, and that animosity toward the other end of the political spectrum is sometimes misplaced. PMID:28207906

ClusPro: an automated docking and discrimination method for the prediction of protein complexes.

PubMed

Comeau, Stephen R; Gatchell, David W; Vajda, Sandor; Camacho, Carlos J

2004-01-01

Predicting protein interactions is one of the most challenging problems in functional genomics. Given two proteins known to interact, current docking methods evaluate billions of docked conformations by simple scoring functions, and in addition to near-native structures yield many false positives, i.e. structures with good surface complementarity but far from the native. We have developed a fast algorithm for filtering docked conformations with good surface complementarity, and ranking them based on their clustering properties. The free energy filters select complexes with lowest desolvation and electrostatic energies. Clustering is then used to smooth the local minima and to select the ones with the broadest energy wells-a property associated with the free energy at the binding site. The robustness of the method was tested on sets of 2000 docked conformations generated for 48 pairs of interacting proteins. In 31 of these cases, the top 10 predictions include at least one near-native complex, with an average RMSD of 5 A from the native structure. The docking and discrimination method also provides good results for a number of complexes that were used as targets in the Critical Assessment of PRedictions of Interactions experiment. The fully automated docking and discrimination server ClusPro can be found at http://structure.bu.edu

Matching response to context in complex political emergencies: 'relief', 'development', 'peace-building' or something in-between?

PubMed

White, P; Cliffe, L

2000-12-01

There is an ongoing debate over the value and pitfalls of the policy and practice of 'linking relief and development' or 'developmental relief' in aid responses to complex political emergencies (CPEs). Driven by concerns about relief creating dependence, sometimes doing harm and failing to address root causes of emergencies despite its high cost, pursuit of both relief and development has become a dominant paradigm among international aid agencies in CPEs as in 'natural' disasters. In CPEs a third objective of 'peace-building' has emerged, along with the logic that development can itself help prevent or resolve conflict and sustain peace. However, this broadening of relief objectives in ongoing CPEs has recently been criticised on a number of counts, central concerns being that it leads to a dilution of commitment to core humanitarian principles and is overly optimistic. This paper addresses these issues in the light of two of the CPEs studied by the COPE project: Eritrea and Somalia/Somaliland. It is argued that the debate has so far suffered from lack of clarity about what we mean by 'relief', 'development' and, for that matter, 'rehabilitation' and 'peace-building'. The wide spectrum of possible aid outcomes does not divide neatly into these categories. The relief-development divide is not always as clear-cut, technically or politically, as the critics claim. Moreover such distinctions, constructed from the point of view of aid programmers, are often of little relevance to the concerns of intended beneficiaries. Second, there has been insufficient attention to context: rather than attempting to generalise within and across CPE cases, a more productive approach would be to examine more closely the conditions under which forms of aid other than basic life support can fruitfully be pursued. This leads to consideration of collective agency capacity to respond effectively to diverse needs in different and changing circumstances.

Political priority of global oral health: an analysis of reasons for international neglect.

PubMed

Benzian, Habib; Hobdell, Martin; Holmgren, Christopher; Yee, Robert; Monse, Bella; Barnard, Johannes T; van Palenstein Helderman, Wim

2011-06-01

Global Oral Health suffers from a lack of political attention, particularly in low- and middle-income countries. This paper analyses the reasons for this political neglect through the lens of four areas of political power: the power of the ideas, the power of the issue, the power of the actors, and the power of the political context (using a modified Political Power Framework by Shiffman and Smith. Lancet370 [2007] 1370). The analysis reveals that political priority for global oral health is low, resulting from a set of complex issues deeply rooted in the current global oral health sector, its stakeholders and their remit, the lack of coherence and coalescence; as well as the lack of agreement on the problem, its portrayal and possible solutions. The shortcomings and weaknesses demonstrated in the analysis range from rather basic matters, such as defining the issue in an agreed way, to complex and multi-levelled issues concerning appropriate data collection and agreement on adequate solutions. The political priority of Global Oral Health can only be improved by addressing the underlying reasons that resulted in the wide disconnection between the international health discourse and the small sector of Global Oral Health. We hope that this analysis may serve as a starting point for a long overdue, broad and candid international analysis of political, social, cultural, communication, financial and other factors related to better prioritisation of oral health. Without such an analysis and the resulting concerted action the inequities in Global Oral Health will grow and increasingly impact on health systems, development and, most importantly, human lives. © 2011 FDI World Dental Federation.

The politics of researching global health politics

PubMed Central

Rushton, Simon

2015-01-01

In this comment, I build on Shiffman’s call for the global health community to more deeply investigate structural and productive power. I highlight two challenges we must grapple with as social scientists carrying out the types of investigation that Shiffman proposes: the politics of challenging the powerful; and the need to investigate types of expertise that have traditionally been thought of as ‘outside’ global health. In doing so, I argue that moving forward with the agenda Shiffman sets out requires social scientists interested in the global politics of health to be reflexive about our own exercise of structural and productive power and the fact that researching global health politics is itself a political undertaking. PMID:25905482

Complex networks as a unified framework for descriptive analysis and predictive modeling in climate

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steinhaeuser, Karsten J K; Chawla, Nitesh; Ganguly, Auroop R

The analysis of climate data has relied heavily on hypothesis-driven statistical methods, while projections of future climate are based primarily on physics-based computational models. However, in recent years a wealth of new datasets has become available. Therefore, we take a more data-centric approach and propose a unified framework for studying climate, with an aim towards characterizing observed phenomena as well as discovering new knowledge in the climate domain. Specifically, we posit that complex networks are well-suited for both descriptive analysis and predictive modeling tasks. We show that the structural properties of climate networks have useful interpretation within the domain. Further,more » we extract clusters from these networks and demonstrate their predictive power as climate indices. Our experimental results establish that the network clusters are statistically significantly better predictors than clusters derived using a more traditional clustering approach. Using complex networks as data representation thus enables the unique opportunity for descriptive and predictive modeling to inform each other.« less

From DTCA-PD to patient information to health information: the complex politics and semantics of EU health policy.

PubMed

Brooks, Eleanor; Geyer, Robert

2012-12-01

Between 2001 and 2011 the pharmaceutical industry, supported by DG Enterprise, was engaged in an ongoing campaign to repeal/amend the European Union (EU) ban on direct-to-consumer advertising of prescription drugs (DTCA-PD). As it became increasingly clear that the ban would not be repealed, DTCA-PD supporters tried to shift the debate away from advertising and towards the provision of 'patient information' and the rights of patients to access such information. Meanwhile, a variety of national and European health organizations, supported by DG SANCO, sought to maintain the ban and oppose the industry-supported 'patient information' campaign. Instead, they promoted a concept of 'health information' that included all aspects of citizens' health, not just pharmaceuticals. This article aims to analyse the transition from DTCA-PD to patient information to health information and examine its implications for EU health policy as a complex policy space. The article examines the emergence and development of EU health policy and the evolution of the DTCA-PD debate through the lens of complexity theory. It analyses the nature of the semantic, political and policy transition and asks why it occurred, what it tells us about EU health policy and future EU health legislation and how it may be understood from a complexity perspective. The article concludes that the complexity framework is ideally suited for the field of public health and, in particular, the DTCA-PD debate. Having successfully shifted the policy-focus of the debate to patients' rights and health information, opponents of the legislation are likely to face their next battle in the realm of cyberspace, where regulatory issues change the nature of advertising. © 2012 Blackwell Publishing Ltd.

The social and political lives of zoonotic disease models: narratives, science and policy.

PubMed

Leach, Melissa; Scoones, Ian

2013-07-01

Zoonotic diseases currently pose both major health threats and complex scientific and policy challenges, to which modelling is increasingly called to respond. In this article we argue that the challenges are best met by combining multiple models and modelling approaches that elucidate the various epidemiological, ecological and social processes at work. These models should not be understood as neutral science informing policy in a linear manner, but as having social and political lives: social, cultural and political norms and values that shape their development and which they carry and project. We develop and illustrate this argument in relation to the cases of H5N1 avian influenza and Ebola, exploring for each the range of modelling approaches deployed and the ways they have been co-constructed with a particular politics of policy. Addressing the complex, uncertain dynamics of zoonotic disease requires such social and political lives to be made explicit in approaches that aim at triangulation rather than integration, and plural and conditional rather than singular forms of policy advice. Copyright © 2013 Elsevier Ltd. All rights reserved.

Critical consciousness development and political participation among marginalized youth.

PubMed

Diemer, Matthew A; Li, Cheng-Hsien

2011-01-01

Given associations between critical consciousness and positive developmental outcomes, and given racial, socioeconomic, and generational disparities in political participation, this article examined contextual antecedents of critical consciousness (composed of sociopolitical control and social action) and its consequences for 665 marginalized youth's (ages 15-25) voting behavior. A multiple indicator and multiple causes (MIMIC) model examined racial, ethnic, and age differences in the measurement and means of latent constructs. The structural model suggested that parental and peer sociopolitical support predicts sociopolitical control and social action, which in turn predicts voting behavior, while controlling for civic and political knowledge, race/ethnicity, and age. This illuminates how micro-level actors foster critical consciousness and how the perceived capacity to effect social change and social action participation may redress voting disparities. © 2011 The Authors. Child Development © 2011 Society for Research in Child Development, Inc.

Political Skill: Principals' Self-Perception of Political Skill

ERIC Educational Resources Information Center

Hinkle, Christine M.

2016-01-01

Purpose: The purpose of this study was to describe and determine the degree to which elementary school, middle school, and high school principals perceive their political skill, as measured by the Political Skill Inventory (PSI). A second purpose of the study was to determine if there was a difference for the perceived political skill of…

Lifelong Political Socialization, Consciousness and Political Agency in Israel Today

ERIC Educational Resources Information Center

Michel, Dirk

2007-01-01

This article deals with the nexus between biographical experiences in political extraordinary times of crisis, disaster and terror and their influence on political orientations. At the centre of interest is the reconstruction of political orientations related to two different historical-political groups of Jewish Germans who had immigrated or…

Atomic complex: a worldwide political history of nuclear energy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Goldschmidt, B.

The author presents a personal memoir of the effort to harness energy from the atom as well as telling the story of worldwide development, from its military use in the 1940s to its peaceful use of generating electricity in the world's 263 operating nuclear power plants. As a scientist turned statesman, Goldsmith reviews nearly half a century of worldwide political moves, countermoves, international intrigue, and manipulation. His perspective is portrayed against the personal backdrop of world leaders. Taking a pragmatic look at the nuclear world of today, he describes how the mistakes of the past set the tone for today'smore » nuclear problems. Goldsmith balances the terror due to nuclear weapons with the benefits nuclear energy can bring to an economically troubled and energy-starved population.« less

Me, us, or them: who is more conformist? Perception of conformity and political orientation.

PubMed

Cavazza, Nicoletta; Mucchi-Faina, Angelica

2008-06-01

Research has shown that people perceive others as more vulnerable than themselves to media communication, and their political out-group as more vulnerable than their political in-group. In the present study, the authors predicted that the same two biases would appear with respect to another kind of influence--conformity--but that participants' judgments would display a different pattern according to their political orientations. Right-wing and left-wing university students were asked to evaluate conformity and to estimate how conformist they, their political in-group, their political out-group, and other groups are. As hypothesized, right-wingers expressed more ambivalence toward conformity and viewed it less negatively than did left-wingers. Political orientation had no impact on the discrepancy between self and others, but it did moderate the in-group-out-group discrepancy.

Power, politics and rehabilitation in sub-Saharan Africa: from the personal to the political.

PubMed

Campbell, Catherine

2011-01-01

This article discusses the complexities of facilitating community-based rehabilitation in resource-poor contexts in Sub-Saharan Africa. It does so through a reflection on the book Able-Bodied: Scenes from a Curious Life, written by Leslie Swartz, a South African expert on disability in the context of international development. Swartz uses his own personal experiences as son of a disabled father as a springboard for reflections on his long involvement in the often-fraught areas of disability research and activism. He pays particular attention to the way in which emotions shape the struggles around expertise and power that bedevil disability identity politics. In particular, his work highlights how the complex dynamics of race, class and disability undermine the effectiveness of the movement.

Drug-disease association and drug-repositioning predictions in complex diseases using causal inference-probabilistic matrix factorization.

PubMed

Yang, Jihong; Li, Zheng; Fan, Xiaohui; Cheng, Yiyu

2014-09-22

The high incidence of complex diseases has become a worldwide threat to human health. Multiple targets and pathways are perturbed during the pathological process of complex diseases. Systematic investigation of complex relationship between drugs and diseases is necessary for new association discovery and drug repurposing. For this purpose, three causal networks were constructed herein for cardiovascular diseases, diabetes mellitus, and neoplasms, respectively. A causal inference-probabilistic matrix factorization (CI-PMF) approach was proposed to predict and classify drug-disease associations, and further used for drug-repositioning predictions. First, multilevel systematic relations between drugs and diseases were integrated from heterogeneous databases to construct causal networks connecting drug-target-pathway-gene-disease. Then, the association scores between drugs and diseases were assessed by evaluating a drug's effects on multiple targets and pathways. Furthermore, PMF models were learned based on known interactions, and associations were then classified into three types by trained models. Finally, therapeutic associations were predicted based upon the ranking of association scores and predicted association types. In terms of drug-disease association prediction, modified causal inference included in CI-PMF outperformed existing causal inference with a higher AUC (area under receiver operating characteristic curve) score and greater precision. Moreover, CI-PMF performed better than single modified causal inference in predicting therapeutic drug-disease associations. In the top 30% of predicted associations, 58.6% (136/232), 50.8% (31/61), and 39.8% (140/352) hit known therapeutic associations, while precisions obtained by the latter were only 10.2% (231/2264), 8.8% (36/411), and 9.7% (189/1948). Clinical verifications were further conducted for the top 100 newly predicted therapeutic associations. As a result, 21, 12, and 32 associations have been studied and

Biogeography predicts macro‐evolutionary patterning of gestural display complexity in a passerine family

PubMed Central

Miles, Meredith C.; Cheng, Samantha; Fuxjager, Matthew J.

2017-01-01

Gestural displays are incorporated into the signaling repertoire of numerous animal species. These displays range from complex signals that involve impressive and challenging maneuvers, to simpler displays or no gesture at all. The factors that drive this evolution remain largely unclear, and we therefore investigate this issue in New World blackbirds by testing how factors related to a species’ geographical distribution and social mating system predict macro‐evolutionary patterns of display elaboration. We report that species inhabiting temperate regions produce more complex displays than species living in tropical regions, and we attribute this to (i) ecological factors that increase the competitiveness of the social environment in temperate regions, and (ii) different evolutionary and geological contexts under which species in temperate and tropical regions evolved. Meanwhile, we find no evidence that social mating system predicts species differences in display complexity, which is consistent with the idea that gestural displays evolve independently of social mating system. Together, these results offer some of the first insight into the role played by geographic factors and evolutionary context in the evolution of the remarkable physical displays of birds and other vertebrates. PMID:28240772

Genetic Influences on Political Ideologies: Twin Analyses of 19 Measures of Political Ideologies from Five Democracies and Genome-Wide Findings from Three Populations

PubMed Central

Hatemi, Peter K.; Medland, Sarah E.; Klemmensen, Robert; Oskarrson, Sven; Littvay, Levente; Dawes, Chris; Verhulst, Brad; McDermott, Rose; Nørgaard, Asbjørn Sonne; Klofstad, Casey; Christensen, Kaare; Johannesson, Magnus; Magnusson, Patrik K.E.; Eaves, Lindon J.; Martin, Nicholas G.

2014-01-01

Almost forty years ago, evidence from large studies of adult twins and their relatives suggested that between 30-60% of the variance in social and political attitudes could be explained by genetic influences. However, these findings have not been widely accepted or incorporated into the dominant paradigms that explain the etiology of political ideology. This has been attributed in part to measurement and sample limitations, as well the relative absence of molecular genetic studies. Here we present results from original analyses of a combined sample of over 12,000 twins pairs, ascertained from nine different studies conducted in five democracies, sampled over the course of four decades. We provide evidence that genetic factors play a role in the formation of political ideology, regardless of how ideology is measured, the era, or the population sampled. The only exception is a question that explicitly uses the phrase “Left-Right”. We then present results from one of the first genome-wide association studies on political ideology using data from three samples: a 1990 Australian sample involving 6,894 individuals from 3,516 families; a 2008 Australian sample of 1,160 related individuals from 635 families and a 2010 Swedish sample involving 3,334 individuals from 2,607 families. No polymorphisms reached genome-wide significance in the meta-analysis. The combined evidence suggests that political ideology constitutes a fundamental aspect of one’s genetically informed psychological disposition, but as Fisher proposed long ago, genetic influences on complex traits will be composed of thousands of markers of very small effects and it will require extremely large samples to have enough power in order to identify specific polymorphisms related to complex social traits. PMID:24569950

Putting politics first.

PubMed

Hacker, Jacob S

2008-01-01

The greatest lesson of the failure of comprehensive health reform in the early 1990s is that politics comes first. Even the best-laid policy plans are worthless if they lack the political support to pass. Putting politics first means avoiding the overarching mistake of the Clinton reformers: envisioning a grand policy compromise rather than hammering out a real political compromise. It also means addressing the inevitable fears of those who believe that they are well protected by our eroding employment-based system. And it means formulating political strategies that are premised on the contemporary realities of the hyperpolarized U.S. political environment, rather than wistfully recalled images of the bipartisan politics of old.

Prediction of Heterodimeric Protein Complexes from Weighted Protein-Protein Interaction Networks Using Novel Features and Kernel Functions

PubMed Central

Ruan, Peiying; Hayashida, Morihiro; Maruyama, Osamu; Akutsu, Tatsuya

2013-01-01

Since many proteins express their functional activity by interacting with other proteins and forming protein complexes, it is very useful to identify sets of proteins that form complexes. For that purpose, many prediction methods for protein complexes from protein-protein interactions have been developed such as MCL, MCODE, RNSC, PCP, RRW, and NWE. These methods have dealt with only complexes with size of more than three because the methods often are based on some density of subgraphs. However, heterodimeric protein complexes that consist of two distinct proteins occupy a large part according to several comprehensive databases of known complexes. In this paper, we propose several feature space mappings from protein-protein interaction data, in which each interaction is weighted based on reliability. Furthermore, we make use of prior knowledge on protein domains to develop feature space mappings, domain composition kernel and its combination kernel with our proposed features. We perform ten-fold cross-validation computational experiments. These results suggest that our proposed kernel considerably outperforms the naive Bayes-based method, which is the best existing method for predicting heterodimeric protein complexes. PMID:23776458

Facebook, Political Narrative, and Political Change: A Case Study of Palestinian Youth

ERIC Educational Resources Information Center

Kenderes, Amanda M.

2012-01-01

In this dissertation I aim to advance political narrative theory by exploring the use of political narrative on Facebook and the possibility for Facebook to be used among Palestinian youth for political change. To examine the concepts of political narrative and political change, I developed a model for political change based on the changing…

Political Socialization and Political Interest: The Role of School Reassessed

ERIC Educational Resources Information Center

Koskimaa, Vesa; Rapeli, Lauri

2015-01-01

There is a growing concern about the lack of political interest and engagement among Western youth. This has led to a revival of political socialization studies. One recent finding is that (late) adolescence is key to understanding the development of interest for politics. This study builds on this finding by examining political interest among…

Constructing Acceptable RWM Approaches: The Politics of Participation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Laes, E.; Bombaerts, G.

2006-07-01

Public participation in a complex technological issue such as the management of radioactive waste needs to be based on a simultaneous construction of scientific, ethical and socio-political foundations. Confronting this challenge is in no way straightforward. The problem is not only that the 'hard' technocrats downplay the importance of socio-political and ethical factors; also, our 'soft' ethical vocabularies (e.g. Habermasian 'discourse ethics') seem to be ill-equipped for tackling such complex questions (in terms of finding concrete solutions). On the other hand, professionals in the field, confronted with a (sometimes urgent) need for finding workable solutions, cannot wait for armchair philosophersmore » to formulate the correct academic answers to their questions. Different public participation and communication models have been developed and tested in real-world conditions, for instance in the Belgian 'partnership approach' to the siting of a low-level waste management facility. Starting from the confrontation of theoretical outlooks and pragmatic solutions, this paper identifies a number of 'dilemmas of participation' that can only be resolved by inherently political choices. Successfully negotiating these dilemmas is of course difficult and conditional on many contextual factors, but nevertheless at the end of the paper an attempt is made to sketch the contours of three possible future scenarios (each with their own limits and possibilities). (authors)« less

Exploring Political Alternatives

ERIC Educational Resources Information Center

Denhardt, Robert B.

1975-01-01

The author distinguishes between the concepts of political socialization and political education. He argues that political socialization has come to dominate both our thinking and our teaching in the area of civic education. Suggestions for promoting political education are included. (DE)

Politics in evaluation: Politically responsive evaluation in high stakes environments.

PubMed

Azzam, Tarek; Levine, Bret

2015-12-01

The role of politics has often been discussed in evaluation theory and practice. The political influence of the situation can have major effects on the evaluation design, approach and methods. Politics also has the potential to influence the decisions made from the evaluation findings. The current study focuses on the influence of the political context on stakeholder decision making. Utilizing a simulation scenario, this study compares stakeholder decision making in high and low stakes evaluation contexts. Findings suggest that high stakes political environments are more likely than low stakes environments to lead to reduced reliance on technically appropriate measures and increased dependence on measures better reflect the broader political environment. Copyright © 2015 Elsevier Ltd. All rights reserved.

The political uses of astrology: predicting the illness and death of princes, kings and popes in the Italian Renaissance.

PubMed

Azzolini, Monica

2010-06-01

This paper examines the production and circulation of astrological prognostications regarding the illness and death of kings, princes, and popes in the Italian Renaissance (ca. 1470-1630). The distribution and consumption of this type of astrological information was often closely linked to the specific political situation in which they were produced. Depending on the astrological techniques used (prorogations, interrogations, or annual revolutions), and the media in which they appeared (private letters or printed prognostica) these prognostications fulfilled different functions in the information economy of Renaissance Italy. Some were used to legitimise the rule of a political leader, others to do just the opposite. Astrological prorogations and interrogations were often used to plan military and political strategies in case of the illness or death of a political leader, while astrological prognostications were generally written to promote certain political leaders while undermining others. While certainly often partisan to this game, astrologers, for their part, worked within a very well established tradition that gave authority to their forecasts. This paper argues that, as indicators of deeper political tensions otherwise not always explicitly manifest, these prognostications are privileged sources of information providing a better understanding of the political history of the period.

Organizational politics, nurses' stress, burnout levels, turnover intention and job satisfaction.

PubMed

Labrague, L J; McEnroe-Petitte, D M; Gloe, D; Tsaras, K; Arteche, D L; Maldia, F

2017-03-01

This is a research report examining the influence of organizational politics perceptions on nurses' work outcomes (job satisfaction, work stress, job burnout and turnover intention). Organizational politics is a phenomenon common in almost all institutions and is linked with undesirable consequences in employees. Despite the plethora of research around the world on this topic, studies describing organizational politics in nursing remain underexplored. A cross-sectional research design was utilized in this study. One hundred sixty-six (166) nurses participated. Five standardized tools were used: the Job Satisfaction Index, the Job Stress Scale, the Burnout Measure Scale, the Turnover Intention Inventory Scale and the Perception of Organizational Politics Scale. Nurses employed both in private and government-owned hospitals perceived moderate levels of organizational politics. Positive correlations were identified between perceived organizational politics and job stress, turnover intention and job burnout. Negative correlations were found between perceived organizational politics and job satisfaction. Perceptions of workplace politics in Filipino nurses were lower when compared to findings in other international studies. A strong link was found between organizational politics perceptions and the four job outcomes (stress and burnout levels, turnover intention and job satisfaction). Use of a self-reporting questionnaire and exclusion of nurses from other provinces. Perceived organizational politics predicted nurses' stress and burnout levels, turnover intention and job satisfaction. The findings of this study may provide a valuable perspective of this organizational issue and could assist policymakers and nurse administrators in formulating interventions that could minimize the effect of workplace politics. © 2016 International Council of Nurses.

Convincing similar and dissimilar others: the power of language abstraction in political communication.

PubMed

Menegatti, Michela; Rubini, Monica

2013-05-01

Three studies examined the production of political messages and their persuasive impact on recipients as a function of speaker-audience similarity. The first two studies found support for the hypothesis that political leaders (Study 1) and party activists (Study 2) formulate more abstract messages when the audience is politically similar to them than when the audience is dissimilar or heterogeneous. The third study examined the persuasive impact of message abstractness versus concreteness. We predicted and found that abstract messages are more effective in convincing an audience whose political positions are similar to the speaker's and concrete messages are more effective in convincing an audience whose political positions differ from the speaker's or are heterogeneous. Implications of these findings for the relation between language and social cognition are discussed.

The Effects of Majoring in Political Science on Political Efficacy

ERIC Educational Resources Information Center

Dominguez, Casey B. K.; Smith, Keith W.; Williams, J. Michael

2017-01-01

This study tests, and finds support, for the hypotheses that a student who majors in political science will have stronger feelings of political competence and will be more willing to engage in hypothetical political actions than two peer groups: (a) those who major in other fields and (b) those who show an interest in politics but have not studied…

Cosmopolitan political science.

PubMed

Grande, Edgar

2006-03-01

Until recently, the term cosmopolitism could rarely be found in modern political science literature. It was only in the 1990s that the term was rediscovered by political scientists in the critical discourse on globalization. In this article, I will explore the full potential of cosmopolitism as an analytical concept for empirical political science. I will argue that the concept of cosmopolitism should not be restricted to the analysis of global politics. Indeed, cosmopolitism has much more to offer for political scientists. Properly understood, it enables--and necessitates--a re-invention of political science in the age of globalization, comparable to the behavioural revolution in political science in the 1950s. Such a paradigmatic shift should be based on a twofold transformation of existing disciplinary boundaries: A removal of the boundary between national (and comparative) and international politics on the one hand; and a re-definition of the boundaries between empirical and normative approaches on the other. As a result, cosmopolitism may serve as a new, critical theory of politics based on the integration of hitherto separated fields and sub-fields.

Mentoring Nurses in Political Skill to Navigate Organizational Politics

PubMed Central

2016-01-01

Objective. The aim of this study was to describe and analyze the correlations between mentoring functions and political skill development among nurses who have earned or are candidates for a Ph.D. or doctorate of nursing practice (DNP) degree. Background. The healthcare system is in flux; future generations of Ph.D. and DNP nurse leaders will be required to demonstrate political acumen. Political skill to navigate organizational politics has had limited research within nursing. Methods. A cross-sectional research design using a web-based survey of 222 nurses who have earned or are candidates for a Ph.D. or DNP. This study utilized two validated tools to measure mentoring functions and political skill. Results. The response rate was 52% (n = 115) of which 86 were Ph.D. and 29 were DNPs. An informal mentoring relationship was described by 62% of the respondents and formal mentoring by 35% of the protégés; only 25% (n = 74) established a mentoring contract. Mentoring score showed significance for total political skill and moderate effect on the networking ability. The mentoring functions of advocacy, career development facilitation, learning facilitation, and friendship were found to correlate significantly with total political skill scores. Conclusions. This study established a benefit for nurses who have earned or are candidates for a Ph.D. or DNP from mentoring to support political skill development. PMID:27777798

Predicting Human Preferences Using the Block Structure of Complex Social Networks

PubMed Central

Guimerà, Roger; Llorente, Alejandro; Moro, Esteban; Sales-Pardo, Marta

2012-01-01

With ever-increasing available data, predicting individuals' preferences and helping them locate the most relevant information has become a pressing need. Understanding and predicting preferences is also important from a fundamental point of view, as part of what has been called a “new” computational social science. Here, we propose a novel approach based on stochastic block models, which have been developed by sociologists as plausible models of complex networks of social interactions. Our model is in the spirit of predicting individuals' preferences based on the preferences of others but, rather than fitting a particular model, we rely on a Bayesian approach that samples over the ensemble of all possible models. We show that our approach is considerably more accurate than leading recommender algorithms, with major relative improvements between 38% and 99% over industry-level algorithms. Besides, our approach sheds light on decision-making processes by identifying groups of individuals that have consistently similar preferences, and enabling the analysis of the characteristics of those groups. PMID:22984533

Office Politics

ERIC Educational Resources Information Center

Storm, Paula; Kelly, Robert; deVries, Susann

2008-01-01

People and organizations are inherently political. Library workplace environments have zones of tension and dynamics just like any corporation, often leading to the formation of political camps. These different cliques influence productivity and work-related issues and, at worst, give meetings the feel of the Camp David negotiations. Politics are…

Language and Politics.

ERIC Educational Resources Information Center

Chimombo, Moira

1999-01-01

Surveys the interrelationship between language and politics. Touches on the context of political discourse, or political culture and ideology in new and old democracies and the reemerging manifestations of totalitarianism, censorship, and linguistic imperialism; then examines selected linguistic features of political discourse and their…

Use of paired simple and complex models to reduce predictive bias and quantify uncertainty

NASA Astrophysics Data System (ADS)

Doherty, John; Christensen, Steen

2011-12-01

Modern environmental management and decision-making is based on the use of increasingly complex numerical models. Such models have the advantage of allowing representation of complex processes and heterogeneous system property distributions inasmuch as these are understood at any particular study site. The latter are often represented stochastically, this reflecting knowledge of the character of system heterogeneity at the same time as it reflects a lack of knowledge of its spatial details. Unfortunately, however, complex models are often difficult to calibrate because of their long run times and sometimes questionable numerical stability. Analysis of predictive uncertainty is also a difficult undertaking when using models such as these. Such analysis must reflect a lack of knowledge of spatial hydraulic property details. At the same time, it must be subject to constraints on the spatial variability of these details born of the necessity for model outputs to replicate observations of historical system behavior. In contrast, the rapid run times and general numerical reliability of simple models often promulgates good calibration and ready implementation of sophisticated methods of calibration-constrained uncertainty analysis. Unfortunately, however, many system and process details on which uncertainty may depend are, by design, omitted from simple models. This can lead to underestimation of the uncertainty associated with many predictions of management interest. The present paper proposes a methodology that attempts to overcome the problems associated with complex models on the one hand and simple models on the other hand, while allowing access to the benefits each of them offers. It provides a theoretical analysis of the simplification process from a subspace point of view, this yielding insights into the costs of model simplification, and into how some of these costs may be reduced. It then describes a methodology for paired model usage through which predictive

Automobile Politics

NASA Astrophysics Data System (ADS)

Paterson, Matthew

2006-11-01

The car, and the range of social and political institutions which sustain its dominance, play an important role in many of the environmental problems faced by contemporary society. But in order to understand the possibilities for moving towards sustainability and 'greening cars', it is first necessary to understand the political forces that have made cars so dominant. This book identifies these forces as a combination of political economy and cultural politics. From the early twentieth century, the car became central to the organization of capitalism and deeply embedded in individual identities, providing people with a source of value and meaning but in a way which was broadly consistent with social imperatives for mobility. Projects for sustainability to reduce the environmental impacts of cars are therefore constrained by these forces but must deal with them in order to shape and achieve their goals. Addresses the increasingly controversial debate on the place of the car in contemporary society and its contribution to environmental problems Questions whether automobility is sustainable and what political, social and economic forces might prevent this Will appeal to scholars and advanced students from a wide range of disciplines including environmental politics, political economy, environmental studies, cultural studies and geography

JPRS Report. Soviet Union: Political Affairs

DTIC Science & Technology

1989-12-19

connected with them. 10. SPEAK OUT against attempts to insert bourgeois political and moral ideas into the minds of Soviet youth under the guise of de ...state of the Leningrad agro-industrial complex, collec- tives of industrial enterprises, construction, transport , scientific and planning...doubt that the Chervona Ruta [Red Rue] Holiday of Ukrainian Song and Popular Music held in September of this year in Chernovtsy will become tradi

Political legitimacy and approval of political protest and violence among children and adolescents.

PubMed

Funderburk, C

1975-06-01

A question of general theoretical relevance for political socialization research concerns the role played by basic political orientations in structuring specific political opinions. This report investigates the relationship between beliefs in the legitimacy of political objects and approval of political protest and violence among a sample of children and adolescents. The setting for the research was a Florida town. Four aspects of political legitimacy are defined and measured. Measures of approval of political protest and political violence are distinguished conceptually and empirically. Beliefs in political legitimacy are shown to be of considerable importance in structuring opinions about political violence but have little impact on opinions about protest.

Political Skills That Superintendents Need to Embrace in Order to Maintain a Positive Working Relationship with Their Board Members

ERIC Educational Resources Information Center

Muhammed, Anil Salim

2012-01-01

According to the literature, school districts are becoming increasingly political and complex. For superintendents to be successful in this environment they must exhibit great political skills in order to maintain positive working relationships with their boards of education. Thus, this study aimed to identify political skills that superintendents…

Uses and Gratifications of Online Information Sources: Political Information Efficacy and the Effects of Interactivity

ERIC Educational Resources Information Center

Painter, David Lynn

2011-01-01

There are two distinct purposes to this investigation: to develop the predictive power of the theory of political information efficacy and to determine how exposure to political information formats on the Internet under distinctly different interactive conditions affects cognitive and affective processes. Examined in the first section of this…

Performance and robustness of penalized and unpenalized methods for genetic prediction of complex human disease.

PubMed

Abraham, Gad; Kowalczyk, Adam; Zobel, Justin; Inouye, Michael

2013-02-01

A central goal of medical genetics is to accurately predict complex disease from genotypes. Here, we present a comprehensive analysis of simulated and real data using lasso and elastic-net penalized support-vector machine models, a mixed-effects linear model, a polygenic score, and unpenalized logistic regression. In simulation, the sparse penalized models achieved lower false-positive rates and higher precision than the other methods for detecting causal SNPs. The common practice of prefiltering SNP lists for subsequent penalized modeling was examined and shown to substantially reduce the ability to recover the causal SNPs. Using genome-wide SNP profiles across eight complex diseases within cross-validation, lasso and elastic-net models achieved substantially better predictive ability in celiac disease, type 1 diabetes, and Crohn's disease, and had equivalent predictive ability in the rest, with the results in celiac disease strongly replicating between independent datasets. We investigated the effect of linkage disequilibrium on the predictive models, showing that the penalized methods leverage this information to their advantage, compared with methods that assume SNP independence. Our findings show that sparse penalized approaches are robust across different disease architectures, producing as good as or better phenotype predictions and variance explained. This has fundamental ramifications for the selection and future development of methods to genetically predict human disease. © 2012 WILEY PERIODICALS, INC.

The changing demographic, legal, and technological contexts of political representation

PubMed Central

Forest, Benjamin

2005-01-01

Three developments have created challenges for political representation in the U.S. and particularly for the use of territorially based representation (election by district). First, the demographic complexity of the U.S. population has grown both in absolute terms and in terms of residential patterns. Second, legal developments since the 1960s have recognized an increasing number of groups as eligible for voting rights protection. Third, the growing technical capacities of computer technology, particularly Geographic Information Systems, have allowed political parties and other organizations to create election districts with increasingly precise political and demographic characteristics. Scholars have made considerable progress in measuring and evaluating the racial and partisan biases of districting plans, and some states have tried to use Geographic Information Systems technology to produce more representative districts. However, case studies of Texas and Arizona illustrate that such analytic and technical advances have not overcome the basic contradictions that underlie the American system of territorial political representation. PMID:16230615

The changing demographic, legal, and technological contexts of political representation.

PubMed

Forest, Benjamin

2005-10-25

Three developments have created challenges for political representation in the U.S. and particularly for the use of territorially based representation (election by district). First, the demographic complexity of the U.S. population has grown both in absolute terms and in terms of residential patterns. Second, legal developments since the 1960s have recognized an increasing number of groups as eligible for voting rights protection. Third, the growing technical capacities of computer technology, particularly Geographic Information Systems, have allowed political parties and other organizations to create election districts with increasingly precise political and demographic characteristics. Scholars have made considerable progress in measuring and evaluating the racial and partisan biases of districting plans, and some states have tried to use Geographic Information Systems technology to produce more representative districts. However, case studies of Texas and Arizona illustrate that such analytic and technical advances have not overcome the basic contradictions that underlie the American system of territorial political representation.

Argument Complexity: Teaching Undergraduates to Make Better Arguments

ERIC Educational Resources Information Center

Kelly, Matthew A.; West, Robert L.

2017-01-01

The task of turning undergrads into academics requires teaching them to reason about the world in a more complex way. We present the Argument Complexity Scale, a tool for analysing the complexity of argumentation, based on the Integrative Complexity and Conceptual Complexity Scales from, respectively, political psychology and personality theory.…

Macro- and Micro-Political Vernaculizations of Rights

PubMed Central

Bloomer, Fiona

2017-01-01

Abstract How abortion is dealt with in law and policy is shaped through the multiple political and societal discourses on the issue within a particular society. Debate on abortion is constantly in flux, with progressive and regressive movements witnessed globally. This paper examines the translation of human rights norms into discourses on abortion in Northern Ireland, a region where abortion is highly restricted, with extensive contemporary public debate into potential liberalization of abortion law. This paper emanates from research examining political debates on abortion in Northern Ireland and contrasts findings with recent civil society developments, identifying competing narratives of human rights with regard to abortion at the macro- and micro-political level. The paper identifies the complexities of using human rights as a lobbying tool, and questions the utility of rights-based arguments in furthering abortion law reform. The paper concludes that a legalistic rights-based approach may have limited efficacy in creating a more nuanced debate and perspective on abortion in Northern Ireland but that it has particular resonance in arguing for limited reform in extreme cases. PMID:28630550

NetMHCstab – predicting stability of peptide–MHC-I complexes; impacts for cytotoxic T lymphocyte epitope discovery

PubMed Central

Jørgensen, Kasper W; Rasmussen, Michael; Buus, Søren; Nielsen, Morten

2014-01-01

Major histocompatibility complex class I (MHC-I) molecules play an essential role in the cellular immune response, presenting peptides to cytotoxic T lymphocytes (CTLs) allowing the immune system to scrutinize ongoing intracellular production of proteins. In the early 1990s, immunogenicity and stability of the peptide–MHC-I (pMHC-I) complex were shown to be correlated. At that time, measuring stability was cumbersome and time consuming and only small data sets were analysed. Here, we investigate this fairly unexplored area on a large scale compared with earlier studies. A recent small-scale study demonstrated that pMHC-I complex stability was a better correlate of CTL immunogenicity than peptide–MHC-I affinity. We here extended this study and analysed a total of 5509 distinct peptide stability measurements covering 10 different HLA class I molecules. Artificial neural networks were used to construct stability predictors capable of predicting the half-life of the pMHC-I complex. These predictors were shown to predict T-cell epitopes and MHC ligands from SYFPEITHI and IEDB to form significantly more stable MHC-I complexes compared with affinity-matched non-epitopes. Combining the stability predictions with a state-of-the-art affinity predictions NetMHCcons significantly improved the performance for identification of T-cell epitopes and ligands. For the HLA alleles included in the study, we could identify distinct sub-motifs that differentiate between stable and unstable peptide binders and demonstrate that anchor positions in the N-terminal of the binding motif (primarily P2 and P3) play a critical role for the formation of stable pMHC-I complexes. A webserver implementing the method is available at http://www.cbs.dtu.dk/services/NetMHCstab. PMID:23927693

Essential veterinary education in the cultural, political and biological complexities of international trade in animals and animal products.

PubMed

Brown, C C

2009-08-01

Globalisation has changed the veterinary profession in many ways and academic institutes may need to re-tool to help future professionals deal with the changes in a successful and productive way. The remarkably expanded and expanding volume of trade and traffic in animals and animal products means that to be effective veterinarians must grasp some of the complexities inherent in this trade. Being able to engage productively in cross-cultural dialogue will be important in negotiations over livestock shipments and also within the context of the delivery of medical services to companion animals in societies that are becoming increasingly diverse. Understanding the political landscapes that influence trade decisions will help to expedite agreements and facilitate the transfer of goods and materials that involve animal health. Disease emergence will continue to occur, and an awareness of the factors responsible and the response measures to undertake will help to contain any damage.

[Predicting individual risk of high healthcare cost to identify complex chronic patients].

PubMed

Coderch, Jordi; Sánchez-Pérez, Inma; Ibern, Pere; Carreras, Marc; Pérez-Berruezo, Xavier; Inoriza, José M

2014-01-01

To develop a predictive model for the risk of high consumption of healthcare resources, and assess the ability of the model to identify complex chronic patients. A cross-sectional study was performed within a healthcare management organization by using individual data from 2 consecutive years (88,795 people). The dependent variable consisted of healthcare costs above the 95th percentile (P95), including all services provided by the organization and pharmaceutical consumption outside of the institution. The predictive variables were age, sex, morbidity-based on clinical risk groups (CRG)-and selected data from previous utilization (use of hospitalization, use of high-cost drugs in ambulatory care, pharmaceutical expenditure). A univariate descriptive analysis was performed. We constructed a logistic regression model with a 95% confidence level and analyzed sensitivity, specificity, positive predictive values (PPV), and the area under the ROC curve (AUC). Individuals incurring costs >P95 accumulated 44% of total healthcare costs and were concentrated in ACRG3 (aggregated CRG level 3) categories related to multiple chronic diseases. All variables were statistically significant except for sex. The model had a sensitivity of 48.4% (CI: 46.9%-49.8%), specificity of 97.2% (CI: 97.0%-97.3%), PPV of 46.5% (CI: 45.0%-47.9%), and an AUC of 0.897 (CI: 0.892 to 0.902). High consumption of healthcare resources is associated with complex chronic morbidity. A model based on age, morbidity, and prior utilization is able to predict high-cost risk and identify a target population requiring proactive care. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

Creating political priority for micronutrient deficiencies: a qualitative case study from Senegal

PubMed Central

Balarajan, Yarlini

2014-01-01

Objectives To examine what factors influence the agenda-setting process and level of political priority afforded to micronutrient deficiencies (MNDs). Design Qualitative case study employing process tracing, informed by primary data collected from semistructured interviews with policymakers. Setting Dakar, Senegal. Results Several facilitating and impeding factors affecting the level of political prioritisation for MNDs were identified. Facilitating factors included multiple stakeholders using aligned framing to collectively advocate for MNDs; availability of indicators to quantify issue severity and raise awareness; and transnational advocacy activities around micronutrients. Impeding factors included lack of awareness among policymakers and civil society about MNDs; issue complexity, with the need for coordinated multisectoral response to deliver a complex package of solutions; lack of resources trapping the issue in a ‘low-priority’ cycle; lack of a policy champion to advocate for the issue and the challenge of demonstrating the effectiveness of interventions to support advocacy efforts. Conclusions This study gives insight into the political prioritisation process for MNDs from the perspective of key stakeholders working at the national level in Senegal. In doing so, the study offers some explanation as to why the issue of MNDs has struggled to gain political attention and make it onto the national policy agenda. Moving forward, greater awareness of the factors affecting agenda setting for MNDs may help to devise political strategies to champion this development issue in countries with high burdens of micronutrient deficiencies. PMID:25107435

The "chicken-and-egg" development of political opinions.

PubMed

Beattie, Peter

2017-01-01

Twin studies have revealed political ideology to be partially heritable. Neurological research has shown that ideological differences are reflected in brain structure and response, suggesting a direct genotype-phenotype link. Social and informational environments, however, also demonstrably affect brain structure and response. This leads to a "chicken-and-egg" question: do genes produce brains with ideological predispositions, causing the preferential absorption of consonant information and thereby forming an ideology, or do social and informational environments do most of the heavy lifting, with genetic evidence the spurious artifact of outdated methodology? Or are both inextricably intertwined contributors? This article investigates the relative contributions of genetic and environmental factors to ideological development using a role-play experiment investigating the development of opinions on a novel political issue. The results support the view that the process is bidirectional, suggesting that, like most traits, political ideology is produced by the complex interplay of genetic and (social/informational) environmental influences.

Building political will for HIV response: an operational model and strategy options.

PubMed

Brinkerhoff, Derick W

2016-10-01

As global programs for HIV response look to transfer responsibility and financing increasingly to country governments, the political will to take on these responsibilities becomes increasingly prominent. However, defining and assessing political will are problematic; it involves intent and motivation, and thus is inherently difficult to observe. It is intimately connected to capacity and is contextually embedded. This article describes an operational model of political will comprised of seven components that are observable and measurable. Two case studies illustrate the application of the model and shed light on the interconnections among commitment, capacity and context: South Africa and China. Strategy options to build political will for HIV response identify possible actions for both government and civil society. Political will as a concept is most usefully viewed as integrated within larger political and bureaucratic processes, as a product of the complex array of incentives and disincentives that those processes create. However, this conclusion is not a recipe for discouragement or inaction. Agent-based conceptualizations of policy change offer a solid grounding for building political will that supports HIV policy and programs. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Union Underground: Political Issues. Comparing Political Experiences, Experimental Edition.

ERIC Educational Resources Information Center

Gillespie, Judith A.; Lazarus, Stuart

This is the third unit to the second-semester "Comparing Political Experiences" course which focuses on a specific, controversial, political issue. The unit analyzes the concept of political maintenance by studying the United Mine Workers of America (UMWA) between 1918 and 1975 and its fight to secure mine safety standards. A documentary…

Ethnicity and Political Organization. Discussion Paper D 76-4. Urban Planning Policy Analysis and Administration.

ERIC Educational Resources Information Center

Howitt, Arnold M.; Moniz, Rita

There are circumstances under which ethnicity becomes the basis for political action in contemporary America. For example, the uncertain orientation of Cape Verdeans' political participation in New Bedford stems from the complex nature of their ethnic identity. Despite cultural dissimilarities from and limited contact with blacks in New Bedford,…

Education and Political Development

ERIC Educational Resources Information Center

Massialas, Byron G.

1977-01-01

Considers how education is related to politics with the focus on political socialization, political recruitment, i.e., the selection and training of political elites, and political integration or nation building of groups of people. (Author/RK)

Social traditionalism and economic conservatism: two conservative political ideologies in the United States.

PubMed

Johnson, S D; Tamney, J B

2001-04-01

The authors surveyed by telephone a random sample of voters in the 1996 presidential election from the Standard Metropolitan Statistical Area of Muncie, IN ("Middletown"; R. Lynd & H. Lynd, 1929) to test a model describing the nature of 2 conservative political ideologies--social traditionalism and economic conservatism. The model, based on functions of attitudes theory, predicted (a) that the 2 political ideologies would appeal to 2 rather distinct constituency groups--the former, to conservative Protestants; the latter, to people of higher incomes--and (b) that social traditionalists would be more dogmatic and economic conservatives would be more open-minded in their respective views. The findings were consistent with those predictions.

A national study predicting licensed social workers' levels of political participation: the role of resources, psychological engagement, and recruitment networks.

PubMed

Ritter, Jessica A

2008-10-01

The social work literature is replete with studies evaluating social workers' direct practice interventions, but strikingly few have assessed how well social workers are faring in the political arena. This study tests a major theoretical model, the civic voluntarism model, developed to explain why some citizens become involved in politics, whereas others do not. The study sample consisted of 396 randomly selected social workers licensed in 11 states, all of whom completed a 25-minute telephone survey. Social workers were surveyed to determine the role of the following variables in explaining social workers' political activity levels-resources needed to participate, psychological engagement, and attachment to recruitment networks. The results indicate that the civic voluntarism model was significant and accounted for 42 percent of the variance. The strongest predictors of social workers' political activity were NASW membership and political interest. This study provides empirical support for the idea that being connected to social networks and having a psychological engagement with politics are crucial factors in explaining social workers' political participation. Implications for social work education are included.

Biogeography predicts macro-evolutionary patterning of gestural display complexity in a passerine family.

PubMed

Miles, Meredith C; Cheng, Samantha; Fuxjager, Matthew J

2017-05-01

Gestural displays are incorporated into the signaling repertoire of numerous animal species. These displays range from complex signals that involve impressive and challenging maneuvers, to simpler displays or no gesture at all. The factors that drive this evolution remain largely unclear, and we therefore investigate this issue in New World blackbirds by testing how factors related to a species' geographical distribution and social mating system predict macro-evolutionary patterns of display elaboration. We report that species inhabiting temperate regions produce more complex displays than species living in tropical regions, and we attribute this to (i) ecological factors that increase the competitiveness of the social environment in temperate regions, and (ii) different evolutionary and geological contexts under which species in temperate and tropical regions evolved. Meanwhile, we find no evidence that social mating system predicts species differences in display complexity, which is consistent with the idea that gestural displays evolve independently of social mating system. Together, these results offer some of the first insight into the role played by geographic factors and evolutionary context in the evolution of the remarkable physical displays of birds and other vertebrates. © 2017 The Author(s). Evolution published by Wiley Periodicals, Inc. on behalf of The Society for the Study of Evolution.

Calculation of genomic predicted transmitting abilities for bovine respiratory disease complex in Holsteins

USDA-ARS?s Scientific Manuscript database

Bovine Respiratory Disease Complex is a disease that is very costly to the dairy industry. Genomic selection may be an effective tool to improve host resistance to the pathogens that cause this disease. Use of genomic predicted transmitting abilities (GPTA) for selection has had a dramatic effect on...

[Health and politics in France].

PubMed

Tabuteau, Didier

2012-06-01

Health is a dual notion. It is individual, singular and intimate. It is also collective, statistical and political. The modern problematic of health relies upon a balance of complex relations between individual and collective acceptances of the notion. You can try to outline the evolutions and the main concepts through a quadruple approach: health and politics, health and its professionals, health and society and in the end, health and the State. The relationships between health and politics in France are affected by the historical delay of France in public health, namely because of a structural weakness of the administrative organization of public health. Nevertheless France developed a dense and well organized care system and a universal social protection against the disease. The creation of the health professions in France was marked by a historical opposition between the doctors and the state which led to a failure of hygienist medicine and a fundamental misunderstanding on health insurance. Medical domination led to the organization of a system based on professional dichotomy and the delegation of the regulation skills to the health care professionals. The role of health issues in the French society was deeply renewed by the development of the medical and epidemiological knowledge. This resulted in a new political responsibility in the management of health risks but also in the confirmation of the patients' rights and the role of their associations in the health systems operations and the piloting of public policies. In this environment, the state has recently and progressively confirmed its dominating role in the health sector. A public hospital service was created In the 60's and 70's, then in the 80's there were recurrent interventions in order to control health spendings and eventually in the 90's health safety devices were set up. More recently, a process of health policies institutionalization confirmed this evolution. In the future, health issues should

What price politics? Scientists and political controversy.

PubMed

Nye, M J

1999-01-01

There is a long tradition within scientific communities that encourages governments, patrons and citizens to enlist scientific expertise in the service of the public good. However, since the 17th century, scientists who have engaged in public political controversy have often been judged harshly by scientific colleagues, as well as by political adversaries. Some prominent scientists were politically active in Germany, France and England during the 1920s and 1930s; controversial stands were taken by the British physicist P.M.S. Blackett and the American chemist Linus C. Pauling against their countries' nuclear weapons policy following the Second World War.

Lifting Every Voice: Pedagogy and Politics of Bilingualism.

ERIC Educational Resources Information Center

Beykont, Zeynep F., Ed.

Essays in this collection deal with the complex pedagogical and political issues of language-minority education in U.S. public schools. The book focuses on language-minority students in bilingual programs, those who receive some instruction in their native languages. The essays are: (1) "Language Loss and Language Gain in the Brazilian Community:…

Computational fluency and strategy choice predict individual and cross-national differences in complex arithmetic.

PubMed

Vasilyeva, Marina; Laski, Elida V; Shen, Chen

2015-10-01

The present study tested the hypothesis that children's fluency with basic number facts and knowledge of computational strategies, derived from early arithmetic experience, predicts their performance on complex arithmetic problems. First-grade students from United States and Taiwan (N = 152, mean age: 7.3 years) were presented with problems that differed in difficulty: single-, mixed-, and double-digit addition. Children's strategy use varied as a function of problem difficulty, consistent with Siegler's theory of strategy choice. The use of decomposition strategy interacted with computational fluency in predicting the accuracy of double-digit addition. Further, the frequency of decomposition and computational fluency fully mediated cross-national differences in accuracy on these complex arithmetic problems. The results indicate the importance of both fluency with basic number facts and the decomposition strategy for later arithmetic performance. (c) 2015 APA, all rights reserved).

Political and medical views on medical marijuana and its future.

PubMed

Rubens, Muni

2014-01-01

The policies, laws, politics, public opinions, and scientific inferences of medical marijuana are rapidly changing as the debate on medical use of marijuana has always been political, rather than scientific. Federal law has barred the use of medical marijuana though 18 state governments and Washington, DC, support the medical use of marijuana. Unfortunately, not many studies exist on medical marijuana to back these laws and policies. The judiciary, on the other hand, has elicited a diverse response to medical marijuana through its rulings over several decades. Some rulings favored the federal government's opinion, and others supported the larger public view and many state governments with legalized medical marijuana. Public opinion on legalizing medical marijuana has always favored the use of medical marijuana. The movement of scientific knowledge of medical marijuana follows an erratic, discontinuous pathway. The future place of medical marijuana in U.S. society remains unknown. The three forces-scientific knowledge, social-political acceptance, and laws-play a role in the direction that medical marijuana takes in society. Overcoming political-social forces requires a concerted effort from the scientific community and political leaders. The results of scientific research must guide the decisions for laws and medical use of marijuana. This article aims to trace the political dilemma and contradictory views shared by federal and state governments and predict the future of medical marijuana by tracing the past history of medical marijuana with its bumpy pathway in the social-political arena.

Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana.

PubMed

Hansen, Bjoern Oest; Meyer, Etienne H; Ferrari, Camilla; Vaid, Neha; Movahedi, Sara; Vandepoele, Klaas; Nikoloski, Zoran; Mutwil, Marek

2018-03-01

Recent advances in gene function prediction rely on ensemble approaches that integrate results from multiple inference methods to produce superior predictions. Yet, these developments remain largely unexplored in plants. We have explored and compared two methods to integrate 10 gene co-function networks for Arabidopsis thaliana and demonstrate how the integration of these networks produces more accurate gene function predictions for a larger fraction of genes with unknown function. These predictions were used to identify genes involved in mitochondrial complex I formation, and for five of them, we confirmed the predictions experimentally. The ensemble predictions are provided as a user-friendly online database, EnsembleNet. The methods presented here demonstrate that ensemble gene function prediction is a powerful method to boost prediction performance, whereas the EnsembleNet database provides a cutting-edge community tool to guide experimentalists. © 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Statistical similarity measures for link prediction in heterogeneous complex networks

NASA Astrophysics Data System (ADS)

Shakibian, Hadi; Charkari, Nasrollah Moghadam

2018-07-01

The majority of the link prediction measures in heterogeneous complex networks rely on the nodes connectivities while less attention has been paid to the importance of the nodes and paths. In this paper, we propose some new meta-path based statistical similarity measures to properly perform link prediction task. The main idea in the proposed measures is to drive some co-occurrence events in a number of co-occurrence matrices that are occurred between the visited nodes obeying a meta-path. The extracted co-occurrence matrices are analyzed in terms of the energy, inertia, local homogeneity, correlation, and information measure of correlation to determine various information theoretic measures. We evaluate the proposed measures, denoted as link energy, link inertia, link local homogeneity, link correlation, and link information measure of correlation, using a standard DBLP network data set. The results of the AUC score and Precision rate indicate the validity and accuracy of the proposed measures in comparison to the popular meta-path based similarity measures.

Do needs for security and certainty predict cultural and economic conservatism? A cross-national analysis.

PubMed

Malka, Ariel; Soto, Christopher J; Inzlicht, Michael; Lelkes, Yphtach

2014-06-01

We examine whether individual differences in needs for security and certainty predict conservative (vs. liberal) position on both cultural and economic political issues and whether these effects are conditional on nation-level characteristics and individual-level political engagement. Analyses with cross-national data from 51 nations reveal that valuing conformity, security, and tradition over self-direction and stimulation (a) predicts ideological self-placement on the political right, but only among people high in political engagement and within relatively developed nations, ideologically constrained nations, and non-Eastern European nations, (b) reliably predicts right-wing cultural attitudes and does so more strongly within developed and ideologically constrained nations, and (c) on average predicts left-wing economic attitudes but does so more weakly among people high in political engagement, within ideologically constrained nations, and within non-Eastern European nations. These findings challenge the prevailing view that needs for security and certainty organically yield a broad right-wing ideology and that exposure to political discourse better equips people to select the broad ideology that is most need satisfying. Rather, these findings suggest that needs for security and certainty generally yield culturally conservative but economically left-wing preferences and that exposure to political discourse generally weakens the latter relation. We consider implications for the interactive influence of personality characteristics and social context on political attitudes and discuss the importance of assessing multiple attitude domains, assessing political engagement, and considering national characteristics when studying the psychological origins of political attitudes.

MAPPING CHILDREN'S POLITICS: SPATIAL STORIES, DIALOGIC RELATIONS AND POLITICAL FORMATION.

PubMed

Elwood, Sarah; Mitchell, Katharyne

2012-03-01

This article confronts a persistent challenge in research on children's geographies and politics: the difficulty of recognizing forms of political agency and practice that by definition fall outside of existing political theory. Children are effectively "always already" positioned outside most of the structures and ideals of modernist democratic theory, such as the public sphere and abstracted notions of communicative action or "rational" speech. Recent emphases on embodied tactics of everyday life have offered important ways to recognize children's political agency and practice. However, we argue here that a focus on spatial practices and critical knowledge alone cannot capture the full range of children's politics, and show how representational and dialogic practices remain a critical element of their politics in everyday life. Drawing on de Certeau's notion of spatial stories, and Bakhtin's concept of dialogic relations, we argue that children's representations and dialogues comprise a significant space of their political agency and formation, in which they can make and negotiate social meanings, subjectivities, and relationships. We develop these arguments with evidence from an after-school activity programme we conducted with 10-13 year olds in Seattle, Washington, in which participants explored, mapped, wrote and spoke about the spaces and experiences of their everyday lives. Within these practices, children negotiate autonomy and self-determination, and forward ideas, representations, and expressions of agreement or disagreement that are critical to their formation as political actors.

Leadership and Ambiguity: When Policy, Politics, and Truth Collide

ERIC Educational Resources Information Center

Block, Betty Ann

2014-01-01

This article discusses the need for chairs to recognize the changing and interconnected nature of postmodern times by engaging with policy makers, politics, and coalitions in this age of supercomplexity. Chairing a kinesiology department is a rewarding and complex position fraught with uncertainty; nevertheless, tolerating and planning for…

Religious identification and politicization in the face of discrimination: support for political Islam and political action among the Turkish and Moroccan second generation in Europe.

PubMed

Fleischmann, Fenella; Phalet, Karen; Klein, Olivier

2011-12-01

Taking an approach from religion as a social identity and using large-scale comparative surveys in five European cities, we investigate when and how perceived discrimination is associated with religious identification and politicization among the second generation of Turkish and Moroccan Muslims. We distinguish support for political Islam from political action as distinct forms of politicization. In addition, we test the mediating role of religious identification in processes of politicization. Study 1 estimates multi-group structural equation models of support for political Islam in Belgium, the Netherlands, and Sweden. In line with a social identity model of politicization and across nine inter-group contexts, Muslims who perceived more discrimination identified (even) more strongly as Muslims; and high Muslim identifiers were most ready to support political Islam. In support of a competing social stigma hypothesis, however, negative direct and total effects of perceived discrimination suggest predominant depoliticization. Using separate sub-samples across four inter-group contexts in Belgium, Study 2 adds political action tendencies as a distinct form of politicization. Whereas religious identification positively predicts both forms of politicization, perceived discrimination has differential effects: Muslims who perceived more discrimination were more weary of supporting political Islam, yet more ready to engage in political action to defend Islamic values. Taken together, the studies reveal that some Muslim citizens will politicize and others will depoliticize in the face of discrimination as a function of their religious identification and of prevailing forms of politicization. ©2011 The British Psychological Society.

Measuring Complexity and Predictability of Time Series with Flexible Multiscale Entropy for Sensor Networks

PubMed Central

Zhou, Renjie; Yang, Chen; Wan, Jian; Zhang, Wei; Guan, Bo; Xiong, Naixue

2017-01-01

Measurement of time series complexity and predictability is sometimes the cornerstone for proposing solutions to topology and congestion control problems in sensor networks. As a method of measuring time series complexity and predictability, multiscale entropy (MSE) has been widely applied in many fields. However, sample entropy, which is the fundamental component of MSE, measures the similarity of two subsequences of a time series with either zero or one, but without in-between values, which causes sudden changes of entropy values even if the time series embraces small changes. This problem becomes especially severe when the length of time series is getting short. For solving such the problem, we propose flexible multiscale entropy (FMSE), which introduces a novel similarity function measuring the similarity of two subsequences with full-range values from zero to one, and thus increases the reliability and stability of measuring time series complexity. The proposed method is evaluated on both synthetic and real time series, including white noise, 1/f noise and real vibration signals. The evaluation results demonstrate that FMSE has a significant improvement in reliability and stability of measuring complexity of time series, especially when the length of time series is short, compared to MSE and composite multiscale entropy (CMSE). The proposed method FMSE is capable of improving the performance of time series analysis based topology and traffic congestion control techniques. PMID:28383496

Measuring Complexity and Predictability of Time Series with Flexible Multiscale Entropy for Sensor Networks.

PubMed

Zhou, Renjie; Yang, Chen; Wan, Jian; Zhang, Wei; Guan, Bo; Xiong, Naixue

2017-04-06

Measurement of time series complexity and predictability is sometimes the cornerstone for proposing solutions to topology and congestion control problems in sensor networks. As a method of measuring time series complexity and predictability, multiscale entropy (MSE) has been widely applied in many fields. However, sample entropy, which is the fundamental component of MSE, measures the similarity of two subsequences of a time series with either zero or one, but without in-between values, which causes sudden changes of entropy values even if the time series embraces small changes. This problem becomes especially severe when the length of time series is getting short. For solving such the problem, we propose flexible multiscale entropy (FMSE), which introduces a novel similarity function measuring the similarity of two subsequences with full-range values from zero to one, and thus increases the reliability and stability of measuring time series complexity. The proposed method is evaluated on both synthetic and real time series, including white noise, 1/f noise and real vibration signals. The evaluation results demonstrate that FMSE has a significant improvement in reliability and stability of measuring complexity of time series, especially when the length of time series is short, compared to MSE and composite multiscale entropy (CMSE). The proposed method FMSE is capable of improving the performance of time series analysis based topology and traffic congestion control techniques.

Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease.

PubMed

Søreide, K; Thorsen, K; Søreide, J A

2015-02-01

Mortality prediction models for patients with perforated peptic ulcer (PPU) have not yielded consistent or highly accurate results. Given the complex nature of this disease, which has many non-linear associations with outcomes, we explored artificial neural networks (ANNs) to predict the complex interactions between the risk factors of PPU and death among patients with this condition. ANN modelling using a standard feed-forward, back-propagation neural network with three layers (i.e., an input layer, a hidden layer and an output layer) was used to predict the 30-day mortality of consecutive patients from a population-based cohort undergoing surgery for PPU. A receiver-operating characteristic (ROC) analysis was used to assess model accuracy. Of the 172 patients, 168 had their data included in the model; the data of 117 (70%) were used for the training set, and the data of 51 (39%) were used for the test set. The accuracy, as evaluated by area under the ROC curve (AUC), was best for an inclusive, multifactorial ANN model (AUC 0.90, 95% CIs 0.85-0.95; p < 0.001). This model outperformed standard predictive scores, including Boey and PULP. The importance of each variable decreased as the number of factors included in the ANN model increased. The prediction of death was most accurate when using an ANN model with several univariate influences on the outcome. This finding demonstrates that PPU is a highly complex disease for which clinical prognoses are likely difficult. The incorporation of computerised learning systems might enhance clinical judgments to improve decision making and outcome prediction.

Engaging in extreme activism in support of others’ political struggles: The role of politically motivated fusion with out-groups

PubMed Central

Boos, Beverly; Kimel, Sasha Y.; Obaidi, Milan; Shani, Maor; Thomsen, Lotte

2018-01-01

Humans are a coalitional, parochial species. Yet, extreme actions of solidarity are sometimes taken for distant or unrelated groups. What motivates people to become solidary with groups to which they do not belong originally? Here, we demonstrate that such distant solidarity can occur when the perceived treatment of an out-group clashes with one’s political beliefs (e.g., for Leftists, oppressive occupation of the out-group) and that it is driven by fusion (or a feeling of oneness) with distant others with whom one does not share any common social category such as nationality, ethnicity or religion. In Study 1, being politically Leftist predicted European-Americans’ willingness to engage in extreme protest on behalf of Palestinians, which was mediated by fusion with the out-group. Next, in Study 2, we examined whether this pattern was moderated by out-group type. Here, Norwegian Leftists fused more with Palestinians (i.e., a group that, in the Norwegian context, is perceived to be occupied in an asymmetrical conflict) rather than Kurds (i.e., a group for which this perception is less salient). In Study 3, we experimentally tested the underlying mechanism by framing the Kurdish conflict in terms of an asymmetrical occupation (vs. symmetrical war or control conditions) and found that this increased Leftist European-Americans’ fusion with Kurds. Finally, in Study 4, we used a unique sample of non-Kurdish aspiring foreign fighters who were in the process of joining the Kurdish militia YPG. Here, fusion with the out-group predicted a greater likelihood to join and support the Kurdish forces in their fight against ISIS, insofar as respondents experienced that their political orientation morally compelled them to do so (Study 4). Together, our findings suggest that politically motivated fusion with out-groups underpins the extreme solidary action people may take on behalf of distant out-groups. Implications for future theory and research are discussed. PMID:29304156

Participating in Political Activities: Political Systems, Unit Three. Comparing Political Experiences, Experimental Edition.

ERIC Educational Resources Information Center

Gillespie, Judith A.; Patrick, John J.

The third unit to the first-semester course, "Comparing Political Experiences," provides 16 activities to help 12th-grade students acquire in-depth knowledge of various kinds of political activities, such as decision making, leadership, communication, and participation. The activities and readings are divided into six sections which…

The Aristotle Comprehensive Complexity score predicts mortality and morbidity after congenital heart surgery.

PubMed

Bojan, Mirela; Gerelli, Sébastien; Gioanni, Simone; Pouard, Philippe; Vouhé, Pascal

2011-04-01

The Aristotle Comprehensive Complexity (ACC) score has been proposed for complexity adjustment in the analysis of outcome after congenital heart surgery. The score is the sum of the Aristotle Basic Complexity score, largely used but poorly related to mortality and morbidity, and of the Comprehensive Complexity items accounting for comorbidities and procedure-specific and anatomic variability. This study aims to demonstrate the ability of the ACC score to predict 30-day mortality and morbidity assessed by the length of the intensive care unit (ICU) stay. We retrospectively enrolled patients undergoing congenital heart surgery in our institution. We modeled the ACC score as a continuous variable, mortality as a binary variable, and length of ICU stay as a censored variable. For each mortality and morbidity model we performed internal validation by bootstrapping and assessed overall performance by R(2), calibration by the calibration slope, and discrimination by the c index. Among all 1,454 patients enrolled, 30-day mortality rate was 3.4% and median length of ICU stay was 3 days. The ACC score strongly related to mortality, but related to length of ICU stay only during the first postoperative week. For the mortality model, R(2) = 0.24, calibration slope = 0.98, c index = 0.86, and 95% confidence interval was 0.82 to 0.91. For the morbidity model, R(2) = 0.094, calibration slope = 0.94, c index = 0.64, and 95% confidence interval was 0.62 to 0.66. The ACC score predicts 30-day mortality and length of ICU stay during the first postoperative week. The score is an adequate tool for complexity adjustment in the analysis of outcome after congenital heart surgery. Copyright © 2011 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

Prediction of soil attributes through interpolators in a deglaciated environment with complex landforms

NASA Astrophysics Data System (ADS)

Schünemann, Adriano Luis; Inácio Fernandes Filho, Elpídio; Rocha Francelino, Marcio; Rodrigues Santos, Gérson; Thomazini, Andre; Batista Pereira, Antônio; Gonçalves Reynaud Schaefer, Carlos Ernesto

2017-04-01

The knowledge of environmental variables values, in non-sampled sites from a minimum data set can be accessed through interpolation technique. Kriging and the classifier Random Forest algorithm are examples of predictors with this aim. The objective of this work was to compare methods of soil attributes spatialization in a recent deglaciated environment with complex landforms. Prediction of the selected soil attributes (potassium, calcium and magnesium) from ice-free areas were tested by using morphometric covariables, and geostatistical models without these covariables. For this, 106 soil samples were collected at 0-10 cm depth in Keller Peninsula, King George Island, Maritime Antarctica. Soil chemical analysis was performed by the gravimetric method, determining values of potassium, calcium and magnesium for each sampled point. Digital terrain models (DTMs) were obtained by using Terrestrial Laser Scanner. DTMs were generated from a cloud of points with spatial resolutions of 1, 5, 10, 20 and 30 m. Hence, 40 morphometric covariates were generated. Simple Kriging was performed using the R package software. The same data set coupled with morphometric covariates, was used to predict values of the studied attributes in non-sampled sites through Random Forest interpolator. Little differences were observed on the DTMs generated by Simple kriging and Random Forest interpolators. Also, DTMs with better spatial resolution did not improved the quality of soil attributes prediction. Results revealed that Simple Kriging can be used as interpolator when morphometric covariates are not available, with little impact regarding quality. It is necessary to go further in soil chemical attributes prediction techniques, especially in periglacial areas with complex landforms.

Thermal Conductivity Prediction of Soil in Complex Plant Soil System using Artificial Neural Networks

NASA Astrophysics Data System (ADS)

Wardani, A. K.; Purqon, A.

2016-08-01

Thermal conductivity is one of thermal properties of soil in seed germination and plants growth. Different soil types have different thermal conductivity. One of soft-computing promising method to predict thermal conductivity of soil types is Artificial Neural Network (ANN). In this study, we estimate the thermal conductivity of soil prediction in a soil-plant complex systems using ANN. With a feed-forward multilayer trained with back-propagation with 4, 10 and 1 on the input, hidden and output layers respectively. Our input are heating time, temperature and thermal resistance with thermal conductivity of soil as a target. ANN prediction demonstrates a good agreement with Mean Squared Error-testing (MSEte) of 9.56 x 10-7 for soils with green beans and those of bare soils is 7.00 × 10-7 respectively Green beans grow only on black-clay soil with a thermal conductivity of 0.7 W/m K with a sufficient water content. Our results demonstrate that temperature, moisture content, colour, texture and structure of soil are greatly affect to the thermal conductivity of soil in seed germination and plant growth. In future, it is potentially applied to estimate more complex compositions of plant-soil systems.

Resource Letter MPCVW-1: Modeling Political Conflict, Violence, and Wars: A Survey

NASA Astrophysics Data System (ADS)

Morgenstern, Ana P.; Velásquez, Nicolás; Manrique, Pedro; Hong, Qi; Johnson, Nicholas; Johnson, Neil

2013-11-01

This Resource Letter provides a guide into the literature on modeling and explaining political conflict, violence, and wars. Although this literature is dominated by social scientists, multidisciplinary work is currently being developed in the wake of myriad methodological approaches that have sought to analyze and predict political violence. The works covered herein present an overview of this abundance of methodological approaches. Since there is a variety of possible data sets and theoretical approaches, the level of detail and scope of models can vary quite considerably. The review does not provide a summary of the available data sets, but instead highlights recent works on quantitative or multi-method approaches to modeling different forms of political violence. Journal articles and books are organized in the following topics: social movements, diffusion of social movements, political violence, insurgencies and terrorism, and civil wars.

Predictive Validity of ICD-11 PTSD as Measured by the Impact of Event Scale-Revised: A 15-Year Prospective Study of Political Prisoners.

PubMed

Hyland, Philip; Brewin, Chris R; Maercker, Andreas

2017-04-01

The 11 th edition of the International Classification of Diseases (ICD-11; World Health Organization, 2017) proposes a model of posttraumatic stress disorder (PTSD) that includes 6 symptoms. This study assessed the ability of a classification-independent measure of posttraumatic stress symptoms, the Impact of Event Scale-Revised (Weiss & Marmar, 1996), to capture the ICD-11 model of PTSD. The current study also provided the first assessment of the predictive validity of ICD-11 PTSD. Former East German political prisoners were assessed in 1994 (N = 144) and in 2008-2009 (N = 88) on numerous psychological variables using self-report measures. Of the participants, 48.2% and 36.8% met probable diagnosis for ICD-11 PTSD at the first and second assessments, respectively. Confirmatory factor analysis supported the factorial validity of the 3-factor ICD-11 model of PTSD, as represented by items selected from the Impact of Event Scale-Revised. Hierarchical multiple regression analysis demonstrated that, controlling for sex, the symptom clusters of ICD-11 PTSD (reexperiencing, avoidance, and sense of threat) significantly contributed to the explanation of depression (R 2 = .17), quality of life (R 2 = .21), internalized anger (R 2 = .10), externalized anger (R 2 = .12), hatred of perpetrators (R 2 = .15), dysfunctional disclosure (R 2 = .27), and social acknowledgment as a victim (R 2 = .12) across the 15-year study period. Current findings add support for the factorial and predictive validity of ICD-11 PTSD within a unique cohort of political prisoners. Copyright © 2017 International Society for Traumatic Stress Studies.

Mode and tempo in the evolution of socio-political organization: reconciling 'Darwinian' and 'Spencerian' evolutionary approaches in anthropology.

PubMed

Currie, Thomas E; Mace, Ruth

2011-04-12

Traditional investigations of the evolution of human social and political institutions trace their ancestry back to nineteenth century social scientists such as Herbert Spencer, and have concentrated on the increase in socio-political complexity over time. More recent studies of cultural evolution have been explicitly informed by Darwinian evolutionary theory and focus on the transmission of cultural traits between individuals. These two approaches to investigating cultural change are often seen as incompatible. However, we argue that many of the defining features and assumptions of 'Spencerian' cultural evolutionary theory represent testable hypotheses that can and should be tackled within a broader 'Darwinian' framework. In this paper we apply phylogenetic comparative techniques to data from Austronesian-speaking societies of Island South-East Asia and the Pacific to test hypotheses about the mode and tempo of human socio-political evolution. We find support for three ideas often associated with Spencerian cultural evolutionary theory: (i) political organization has evolved through a regular sequence of forms, (ii) increases in hierarchical political complexity have been more common than decreases, and (iii) political organization has co-evolved with the wider presence of hereditary social stratification.

The psychology of intelligence analysis: drivers of prediction accuracy in world politics.

PubMed

Mellers, Barbara; Stone, Eric; Atanasov, Pavel; Rohrbaugh, Nick; Metz, S Emlen; Ungar, Lyle; Bishop, Michael M; Horowitz, Michael; Merkle, Ed; Tetlock, Philip

2015-03-01

This article extends psychological methods and concepts into a domain that is as profoundly consequential as it is poorly understood: intelligence analysis. We report findings from a geopolitical forecasting tournament that assessed the accuracy of more than 150,000 forecasts of 743 participants on 199 events occurring over 2 years. Participants were above average in intelligence and political knowledge relative to the general population. Individual differences in performance emerged, and forecasting skills were surprisingly consistent over time. Key predictors were (a) dispositional variables of cognitive ability, political knowledge, and open-mindedness; (b) situational variables of training in probabilistic reasoning and participation in collaborative teams that shared information and discussed rationales (Mellers, Ungar, et al., 2014); and (c) behavioral variables of deliberation time and frequency of belief updating. We developed a profile of the best forecasters; they were better at inductive reasoning, pattern detection, cognitive flexibility, and open-mindedness. They had greater understanding of geopolitics, training in probabilistic reasoning, and opportunities to succeed in cognitively enriched team environments. Last but not least, they viewed forecasting as a skill that required deliberate practice, sustained effort, and constant monitoring of current affairs. PsycINFO Database Record (c) 2015 APA, all rights reserved.

Managing the terror of a dangerous world: Political attitudes as predictors of mental health stigma.

PubMed

DeLuca, Joseph S; Yanos, Philip T

2016-02-01

Previous research has associated self-reported political conservatism to mental health stigma. Although the limitations of self-reported political attitudes are well documented, no study has evaluated this relationship from a more nuanced perspective of sociopolitical identity. To assess the relationship between political attitudes and mental health stigma (i.e. negative stereotypes and intended social distance), particularly from a standpoint of Right-Wing Authoritarianism (RWA)--a more specific measure of political conservatism. A sample of 505 New York State residents completed an online survey. The results of this study indicated significant relationships between endorsements of self-reported conservatism and RWA to negative stereotypes and social distance in relation to mental illness. Individuals with 'High RWA' were more likely to see individuals with mental illness as dangerous and unpredictable, and less willing to want to socially associate with individuals with mental illness. These results remained statistically significant even when controlling for other factors that consistently predict mental health stigma. Negative stereotypes also partially mediated individuals with RWA's significant relationship to social distance. Characteristics of political conservatives and right-wing authoritarians (e.g. threat-aversion, personal responsibility) are predictive of mental health stigma. Terror Management Theory may also help to explain this phenomenon. © The Author(s) 2015.

Low abundance of the matrix arm of complex I in mitochondria predicts longevity in mice

PubMed Central

Miwa, Satomi; Jow, Howsun; Baty, Karen; Johnson, Amy; Czapiewski, Rafal; Saretzki, Gabriele; Treumann, Achim; von Zglinicki, Thomas

2014-01-01

Mitochondrial function is an important determinant of the ageing process; however, the mitochondrial properties that enable longevity are not well understood. Here we show that optimal assembly of mitochondrial complex I predicts longevity in mice. Using an unbiased high-coverage high-confidence approach, we demonstrate that electron transport chain proteins, especially the matrix arm subunits of complex I, are decreased in young long-living mice, which is associated with improved complex I assembly, higher complex I-linked state 3 oxygen consumption rates and decreased superoxide production, whereas the opposite is seen in old mice. Disruption of complex I assembly reduces oxidative metabolism with concomitant increase in mitochondrial superoxide production. This is rescued by knockdown of the mitochondrial chaperone, prohibitin. Disrupted complex I assembly causes premature senescence in primary cells. We propose that lower abundance of free catalytic complex I components supports complex I assembly, efficacy of substrate utilization and minimal ROS production, enabling enhanced longevity. PMID:24815183

Jobs and Engines: Political Issues. Comparing Political Experiences, Experimental Edition.

ERIC Educational Resources Information Center

Gillespie, Judith A.; Lazarus, Stuart

This is the fourth unit to the 12th-grade second-semester "Comparing Political Experiences" course which focuses on specific controversial political issues. The unit analyzes the concept of political development by examining the Cummins Engine Company and employee job security during the company's growth into a multinational corporation.…

Practicing Politics: Female Political Scientists as Candidates for Elective Office

ERIC Educational Resources Information Center

Burrell, Barbara

2012-01-01

In 2007, University of Oklahoma political science professor Cindy Simon Rosenthal was elected mayor of Norman, Oklahoma, after having served as a member of its city council. Was her activity unique within the political science profession among female political scientists? Her election stimulated the curiosity of some of us in the…

Clean Air Now: Political Issues. Comparing Political Experiences, Experimental Edition.

ERIC Educational Resources Information Center

Gillespie, Judith A.; Lazarus, Stuart

The fourth unit to the second-semester "Comparing Political Experiences" course focuses on a specific, controversial, political issue. Using a documentary approach, this unit analyzes the concept of political change by examining the changes in Riverside, California, as that community confronts the issue of smog. The unit is divided into…

Stability and change in political conservatism following the global financial crisis.

PubMed

Milojev, Petar; Greaves, Lara; Osborne, Danny; Sibley, Chris G

2015-01-01

The current study analyzes data from a national probability panel sample of New Zealanders (N = 5,091) to examine stability and change in political orientation over four consecutive yearly assessments (2009-2012) following the 2007/2008 global financial crisis. Bayesian Latent Growth Modeling identified systematic variation in the growth trajectory of conservatism that was predicted by age and socio-economic status. Younger people (ages 25-45) did not change in their political orientation. Older people, however, became more conservative over time. Likewise, people with lower socio-economic status showed a marked increase in political conservatism. In addition, tests of rank-order stability showed that age had a cubic relationship with the stability of political orientation over our four annual assessments. Our findings provide strong support for System Justification Theory by showing that increases in conservatism in the wake of the recent global financial crisis occurred primarily among the poorest and most disadvantaged.

Health care politics and policy: the business of medicine: a course for physician leaders.

PubMed

Marmor, Theodore Richard

2013-09-01

This article is a condensed and edited version of a speech delivered to the business of medicine: A Course for Physician Leaders symposium presented by Yale-New Haven Hospital and the Medical Directors Leadership Council at Yale University in November 2012 and drawn from Politics, Health, and Health Care: Selected Essays by Theodore R. Marmor and Rudolf Klein [1]. It faithfully reflects the major argument delivered, but it does not include the typical range of citations in a journal article. The material presented here reflects more than 40 years of teaching a course variously described as Political Analysis and Management, Policy and Political Analysis, and The Politics of Policy. The aim of all of these efforts is to inform audiences about the necessity of understanding political conflict in any arena, not least of which is the complex and costly world of medical care.

Political Consciousness but Not Political Engagement: Results from a Service-Learning Study

ERIC Educational Resources Information Center

Harker, Dave

2016-01-01

How does participation in a service-learning program impact the way students think about politics and political engagement? There are reasons to expect that service-learning can contribute to the development of a political consciousness and the skills necessary for political participation. The author uses participant observation, in-depth…

Building Political Participation: The Role of Family Policy and Political Science Courses

ERIC Educational Resources Information Center

Parrott, Emily

2017-01-01

This mixed-methods study examined the long-term associations between two kinds of politics courses--required political science courses and required family policy courses--and the political participation, knowledge, skill, efficacy, and politically engaged identity of child and family studies alumni. Two special cases were examined: those who…

Politics as Social History: Political Cartoons in the Gilded Age.

ERIC Educational Resources Information Center

Edwards, Rebecca

1999-01-01

Provides analyses of four political cartoons in order to suggest approaches to Gilded Age politics that reveal key issues, such as gender, religion, and ethnicity, as well as the struggles over material resources in a stratified economy. Maintains that political cartoons assist students in understanding the ideology of a past era. (CMK)

Opinion Dynamics and Decision of Vote in Bipolar Political Systems

NASA Astrophysics Data System (ADS)

Caruso, Filippo; Castorina, Paolo

A model of the opinion dynamics underlying the political decision is proposed. The analysis is restricted to a bipolar scheme with a possible third political area. The interaction among voters is local but the final decision strongly depends on global effects such as the rating of the governments. As in the realistic case, the individual decision making process is determined by the most relevant personal interests and problems. The phenomenological analysis of the national vote in Italy and Germany has been carried out and a prediction of the next Italian vote as a function of the government rating is presented.

Social, economic, and political forces affecting the future of occupational health nursing.

PubMed

Miller, M A

1989-09-01

1. By monitoring the major social, economic, and political forces affecting health care, one can predict how these forces may impact the role of occupational health nurses. 2. Nursing can and must chart its own course in the midst of these social, economic, and political changes. 3. Changes which have major implications for occupational health nurses are: health care needs, cost containment, multi-hospital chains, alternative approaches to health care, the workplace, ethical concerns, biomedical technology, nursing shortage, and oversupply of physicians. 4. Nursing implications can also be drawn in the areas of autonomy, political skills, and education. Active involvement and a desire to shape professional change and the future of nursing are keys.

Near-Surface Wind Predictions in Complex Terrain with a CFD Approach Optimized for Atmospheric Boundary Layer Flows

NASA Astrophysics Data System (ADS)

Wagenbrenner, N. S.; Forthofer, J.; Butler, B.; Shannon, K.

2014-12-01

Near-surface wind predictions are important for a number of applications, including transport and dispersion, wind energy forecasting, and wildfire behavior. Researchers and forecasters would benefit from a wind model that could be readily applied to complex terrain for use in these various disciplines. Unfortunately, near-surface winds in complex terrain are not handled well by traditional modeling approaches. Numerical weather prediction models employ coarse horizontal resolutions which do not adequately resolve sub-grid terrain features important to the surface flow. Computational fluid dynamics (CFD) models are increasingly being applied to simulate atmospheric boundary layer (ABL) flows, especially in wind energy applications; however, the standard functionality provided in commercial CFD models is not suitable for ABL flows. Appropriate CFD modeling in the ABL requires modification of empirically-derived wall function parameters and boundary conditions to avoid erroneous streamwise gradients due to inconsistences between inlet profiles and specified boundary conditions. This work presents a new version of a near-surface wind model for complex terrain called WindNinja. The new version of WindNinja offers two options for flow simulations: 1) the native, fast-running mass-consistent method available in previous model versions and 2) a CFD approach based on the OpenFOAM modeling framework and optimized for ABL flows. The model is described and evaluations of predictions with surface wind data collected from two recent field campaigns in complex terrain are presented. A comparison of predictions from the native mass-consistent method and the new CFD method is also provided.

Prediction of TF target sites based on atomistic models of protein-DNA complexes

PubMed Central

Angarica, Vladimir Espinosa; Pérez, Abel González; Vasconcelos, Ana T; Collado-Vides, Julio; Contreras-Moreira, Bruno

2008-01-01

Background The specific recognition of genomic cis-regulatory elements by transcription factors (TFs) plays an essential role in the regulation of coordinated gene expression. Studying the mechanisms determining binding specificity in protein-DNA interactions is thus an important goal. Most current approaches for modeling TF specific recognition rely on the knowledge of large sets of cognate target sites and consider only the information contained in their primary sequence. Results Here we describe a structure-based methodology for predicting sequence motifs starting from the coordinates of a TF-DNA complex. Our algorithm combines information regarding the direct and indirect readout of DNA into an atomistic statistical model, which is used to estimate the interaction potential. We first measure the ability of our method to correctly estimate the binding specificities of eight prokaryotic and eukaryotic TFs that belong to different structural superfamilies. Secondly, the method is applied to two homology models, finding that sampling of interface side-chain rotamers remarkably improves the results. Thirdly, the algorithm is compared with a reference structural method based on contact counts, obtaining comparable predictions for the experimental complexes and more accurate sequence motifs for the homology models. Conclusion Our results demonstrate that atomic-detail structural information can be feasibly used to predict TF binding sites. The computational method presented here is universal and might be applied to other systems involving protein-DNA recognition. PMID:18922190

Loss of social resources predicts incident posttraumatic stress disorder during ongoing political violence within the Palestinian Authority.

PubMed

Hall, Brian J; Murray, Sarah M; Galea, Sandro; Canetti, Daphna; Hobfoll, Stevan E

2015-04-01

Exposure to ongoing political violence and stressful conditions increases the risk of posttraumatic stress disorder (PTSD) in low-resource contexts. However, much of our understanding of the determinants of PTSD in these contexts comes from cross-sectional data. Longitudinal studies that examine factors associated with incident PTSD may be useful to the development of effective prevention interventions and the identification of those who may be most at-risk for the disorder. A 3-stage cluster random stratified sampling methodology was used to obtain a representative sample of 1,196 Palestinian adults living in Gaza, the West Bank and East Jerusalem. Face-to-face interviews were conducted at two time points 6-months apart. Logistic regression analyses were conducted on a restricted sample of 643 people who did not have PTSD at baseline and who completed both interviews. The incidence of PTSD was 15.0 % over a 6-month period. Results of adjusted logistic regression models demonstrated that talking to friends and family about political circumstances (aOR = 0.78, p = 0.01) was protective, and female sex (aOR = 1.76, p = 0.025), threat perception of future violence (aOR = 1.50, p = 0.002), poor general health (aOR = 1.39, p = 0.005), exposure to media (aOR = 1.37, p = 0.002), and loss of social resources (aOR = 1.71, p = 0.006) were predictive of incident cases of PTSD. A high incidence of PTSD was documented during a 6-month follow-up period among Palestinian residents of Gaza, the West Bank, and East Jerusalem. Interventions that promote health and increase and forestall loss to social resources could potentially reduce the onset of PTSD in communities affected by violence.

The mathematical limits of genetic prediction for complex chronic disease.

PubMed

Keyes, Katherine M; Smith, George Davey; Koenen, Karestan C; Galea, Sandro

2015-06-01

Attempts at predicting individual risk of disease based on common germline genetic variation have largely been disappointing. The present paper formalises why genetic prediction at the individual level is and will continue to have limited utility given the aetiological architecture of most common complex diseases. Data were simulated on one million populations with 10 000 individuals in each populations with varying prevalences of a genetic risk factor, an interacting environmental factor and the background rate of disease. The determinant risk ratio and risk difference magnitude for the association between a gene variant and disease is a function of the prevalence of the interacting factors that activate the gene, and the background rate of disease. The risk ratio and total excess cases due to the genetic factor increase as the prevalence of interacting factors increase, and decrease as the background rate of disease increases. Germline genetic variations have high predictive capacity for individual disease only under conditions of high heritability of particular genetic sequences, plausible only under rare variant hypotheses. Under a model of common germline genetic variants that interact with other genes and/or environmental factors in order to cause disease, the predictive capacity of common genetic variants is determined by the prevalence of the factors that interact with the variant and the background rate. A focus on estimating genetic associations for the purpose of prediction without explicitly grounding such work in an understanding of modifiable (including environmentally influenced) factors will be limited in its ability to yield important insights about the risk of disease. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Political Orientation Predicts Credulity Regarding Putative Hazards.

PubMed

Fessler, Daniel M T; Pisor, Anne C; Holbrook, Colin

2017-05-01

To benefit from information provided by other people, people must be somewhat credulous. However, credulity entails risks. The optimal level of credulity depends on the relative costs of believing misinformation and failing to attend to accurate information. When information concerns hazards, erroneous incredulity is often more costly than erroneous credulity, given that disregarding accurate warnings is more harmful than adopting unnecessary precautions. Because no equivalent asymmetry exists for information concerning benefits, people should generally be more credulous of hazard information than of benefit information. This adaptive negatively biased credulity is linked to negativity bias in general and is more prominent among people who believe the world to be more dangerous. Because both threat sensitivity and beliefs about the dangerousness of the world differ between conservatives and liberals, we predicted that conservatism would positively correlate with negatively biased credulity. Two online studies of Americans supported this prediction, potentially illuminating how politicians' alarmist claims affect different portions of the electorate.

Political regimes, political ideology, and self-rated health in Europe: a multilevel analysis.

PubMed

Huijts, Tim; Perkins, Jessica M; Subramanian, S V

2010-07-22

Studies on political ideology and health have found associations between individual ideology and health as well as between ecological measures of political ideology and health. Individual ideology and aggregate measures such as political regimes, however, were never examined simultaneously. Using adjusted logistic multilevel models to analyze data on individuals from 29 European countries and Israel, we found that individual ideology and political regime are independently associated with self-rated health. Individuals with rightwing ideologies report better health than leftwing individuals. Respondents from Eastern Europe and former Soviet republics report poorer health than individuals from social democratic, liberal, Christian conservative, and former Mediterranean dictatorship countries. In contrast to individual ideology and political regimes, country level aggregations of individual ideology are not related to reporting poor health. This study shows that although both individual political ideology and contextual political regime are independently associated with individuals' self-rated health, individual political ideology appears to be more strongly associated with self-rated health than political regime.

Science, politics and ethics in the low dose debate.

PubMed

Baverstock, Keith

2005-01-01

The roles of science, ethics and politics are identified in respect of the risks of exposure to low-dose radiation. Two case studies, the epidemiology of the United Kingdom nuclear test veterans and the risks to civilians associated with the military use of depleted uranium, are considered in the context of their ethical framing, scientific evaluation and political resolution. Two important issues for the present and future, the safe management of U.K. radioactive waste and the future of nuclear power, in which the science of low dose effects will be crucial and where the ethical issues are much more complex, are introduced. Specific consideration is given to the potential hereditary effects of ionising radiation in relation to the current state of radiobiological knowledge. It is concluded that for science to be useful in public health policy making there needs to be some reform from within the profession and the political imperative for freely independent scientific institutions.

Children's construction task performance and spatial ability: controlling task complexity and predicting mathematics performance.

PubMed

Richardson, Miles; Hunt, Thomas E; Richardson, Cassandra

2014-12-01

This paper presents a methodology to control construction task complexity and examined the relationships between construction performance and spatial and mathematical abilities in children. The study included three groups of children (N = 96); ages 7-8, 10-11, and 13-14 years. Each group constructed seven pre-specified objects. The study replicated and extended previous findings that indicated that the extent of component symmetry and variety, and the number of components for each object and available for selection, significantly predicted construction task difficulty. Results showed that this methodology is a valid and reliable technique for assessing and predicting construction play task difficulty. Furthermore, construction play performance predicted mathematical attainment independently of spatial ability.

Bayesian versus politically motivated reasoning in human perception of climate anomalies

NASA Astrophysics Data System (ADS)

Ripberger, Joseph T.; Jenkins-Smith, Hank C.; Silva, Carol L.; Carlson, Deven E.; Gupta, Kuhika; Carlson, Nina; Dunlap, Riley E.

2017-11-01

In complex systems where humans and nature interact to produce joint outcomes, mitigation, adaptation, and resilience require that humans perceive feedback—signals of health and distress—from natural systems. In many instances, humans readily perceive feedback. In others, feedback is more difficult to perceive, so humans rely on experts, heuristics, biases, and/or identify confirming rationalities that may distort perceptions of feedback. This study explores human perception of feedback from natural systems by testing alternate conceptions about how individuals perceive climate anomalies, a form of feedback from the climate system. Results indicate that individuals generally perceive climate anomalies, especially when the anomalies are relatively extreme and persistent. Moreover, this finding is largely robust to political differences that generate predictable but small biases in feedback perception at extreme ends of the partisan spectrum. The subtlety of these biases bodes well for mitigation, adaptation, and resilience as human systems continue to interact with a changing climate system.

Planning and evaluation parameters for offshore complexes

NASA Technical Reports Server (NTRS)

Sincoff, M. Z. (Editor); Dajani, J. S. (Editor)

1976-01-01

Issues are presented for consideration in the planning and design of offshore artificial complexes. The construction of such complexes, their social, economic, and ecological impacts, and the legal-political-institutional environments within which their development could occur, are discussed. Planning, design, and construction of near-shore complexes located off the Mid-Atlantic coast of the United States is emphasized.

Political orientations do not cancel out, and politics is not about truth.

PubMed

Pfister, Hans-Rüdiger; Böhm, Gisela

2015-01-01

Duarte et al. propose that divergent political biases cancel each other out such that increasing political diversity will improve scientific validity. We argue that this idea is misguided. Their recommendations for improving political diversity in academia bear the danger of imposing political interests on science. Scientific scrutiny and criticism are the only viable remedies for bad science.

Political activities of social workers: addressing perceived barriers to political participation.

PubMed

Rocha, Cynthia; Poe, Bethanie; Thomas, Veliska

2010-10-01

This article reviews the literature on political participation of social workers and the variables that promote or impede political advocacy. Early research in the 1980s and 1990s most often reported education, feelings of efficacy, having a macro-type job, and being a member of a national association as factors that determine greater political participation. Since the late 1990s, organizational and legal issues have surfaced more prominently as barriers to political participation by social workers. This article addresses barriers to participation, such as not feeling competent to perform policy-related tasks and perceived legal barriers.It then analyzes the actual restrictions that nonprofit 501(c)(3) organizations and publicly employed social workers face in lobbying and partisan politics. The article summarizes the activities that are legally allowed in these areas and concludes that social workers can be more politically active than they often realize.

Predictive Analytics In Healthcare: Medications as a Predictor of Medical Complexity.

PubMed

Higdon, Roger; Stewart, Elizabeth; Roach, Jared C; Dombrowski, Caroline; Stanberry, Larissa; Clifton, Holly; Kolker, Natali; van Belle, Gerald; Del Beccaro, Mark A; Kolker, Eugene

2013-12-01

Children with special healthcare needs (CSHCN) require health and related services that exceed those required by most hospitalized children. A small but growing and important subset of the CSHCN group includes medically complex children (MCCs). MCCs typically have comorbidities and disproportionately consume healthcare resources. To enable strategic planning for the needs of MCCs, simple screens to identify potential MCCs rapidly in a hospital setting are needed. We assessed whether the number of medications used and the class of those medications correlated with MCC status. Retrospective analysis of medication data from the inpatients at Seattle Children's Hospital found that the numbers of inpatient and outpatient medications significantly correlated with MCC status. Numerous variables based on counts of medications, use of individual medications, and use of combinations of medications were considered, resulting in a simple model based on three different counts of medications: outpatient and inpatient drug classes and individual inpatient drug names. The combined model was used to rank the patient population for medical complexity. As a result, simple, objective admission screens for predicting the complexity of patients based on the number and type of medications were implemented.

Political Regimes, Political Ideology, and Self-Rated Health in Europe: A Multilevel Analysis

PubMed Central

Huijts, Tim; Perkins, Jessica M.; Subramanian, S. V.

2010-01-01

Background Studies on political ideology and health have found associations between individual ideology and health as well as between ecological measures of political ideology and health. Individual ideology and aggregate measures such as political regimes, however, were never examined simultaneously. Methodology/Principal Findings Using adjusted logistic multilevel models to analyze data on individuals from 29 European countries and Israel, we found that individual ideology and political regime are independently associated with self-rated health. Individuals with rightwing ideologies report better health than leftwing individuals. Respondents from Eastern Europe and former Soviet republics report poorer health than individuals from social democratic, liberal, Christian conservative, and former Mediterranean dictatorship countries. In contrast to individual ideology and political regimes, country level aggregations of individual ideology are not related to reporting poor health. Conclusions/Significance This study shows that although both individual political ideology and contextual political regime are independently associated with individuals' self-rated health, individual political ideology appears to be more strongly associated with self-rated health than political regime. PMID:20661433

Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks

PubMed Central

Bennett, Kristin P.

2014-01-01

We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC) clades. The proposed knowledge-based Bayesian network (KBBN) treats sets of expert rules as prior distributions on the classes. Unlike prior knowledge-based support vector machine approaches which require rules expressed as polyhedral sets, KBBN directly incorporates the rules without any modification. KBBN uses data to refine rule-based classifiers when the rule set is incomplete or ambiguous. We develop a predictive KBBN model for 69 MTBC clades found in the SITVIT international collection. We validate the approach using two testbeds that model knowledge of the MTBC obtained from two different experts and large DNA fingerprint databases to predict MTBC genetic clades and sublineages. These models represent strains of MTBC using high-throughput biomarkers called spacer oligonucleotide types (spoligotypes), since these are routinely gathered from MTBC isolates of tuberculosis (TB) patients. Results show that incorporating rules into problems can drastically increase classification accuracy if data alone are insufficient. The SITVIT KBBN is publicly available for use on the World Wide Web. PMID:24864238

Predictive genetic testing for complex diseases: a public health perspective

PubMed Central

Marzuillo, C.; De Vito, C.; D’Andrea, E.; Rosso, A.

2014-01-01

From a public health perspective, systematic, evidence-based technology assessments and economic evaluations are needed to guide the incorporation of genomics into clinical and public health practice. However, scientific evidence on the effectiveness of predictive genetic tests is difficult to obtain. This review first highlights the similarities and differences between traditional screening tests and predictive genetic testing for complex diseases and goes on to describe frameworks for the evaluation of genetic testing that have been developed in recent years providing some evidence that currently genetic tests are not used in an appropriate way. Nevertheless, evidence-based recommendations are already available for some genomic applications that can reduce morbidity and mortality and many more are expected to emerge over the next decade. The time is now ripe for the introduction of a range of genetic tests into healthcare practice, but this will require the development of specific health policies, proper public health evaluations, organizational changes within the healthcare systems, capacity building among the healthcare workforce and the education of the public. PMID:24049051

The Politics of Aborted Reform: Education and the Legitimacy of the State in France and West Germany.

ERIC Educational Resources Information Center

Weiler, Hans N.

As this paper demonstrates, studying abortive educational reforms reveals a great deal about the complex political dynamics involved in making (and unmaking) key policy decisions. Using case studies of France and West Germany, the paper argues that the state in advanced industrial countries tends to maximize the political gains derived from…

The Porter Douglass Case: Examining the Impact of Power, Politics, and the Press on Academic Decision-Making

ERIC Educational Resources Information Center

Jaeger, Audrey J.; Grantham, Ashley; Lynch, Terry

2014-01-01

Mixing political appointments and university operations can prove challenging and, in this case, caused the resignation of three senior officials at State University. Bolman and Deal's four frames provide a structure for analyzing this complex case. The political frame and issues of power and coalitions offer a particularly useful lens to…

Political dynamics determined by interactions between political leaders and voters.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bernard, Michael Lewis; Bier, Asmeret; Backus, George A.

2010-03-01

The political dynamics associated with an election are typically a function of the interplay between political leaders and voters, as well as endogenous and exogenous factors that impact the perceptions and goals of the electorate. This paper describes an effort by Sandia National Laboratories to model the attitudes and behaviors of various political groups along with that population's primary influencers, such as government leaders. To accomplish this, Sandia National Laboratories is creating a hybrid system dynamics-cognitive model to simulate systems- and individual-level political dynamics in a hypothetical society. The model is based on well-established psychological theory, applied to both individualsmore » and groups within the modeled society. Confidence management processes are being incorporated into the model design process to increase the utility of the tool and assess its performance. This project will enhance understanding of how political dynamics are determined in democratic society.« less

The role of age in the perceptions of politics--job performance relationship: a three-study constructive replication.

PubMed

Treadway, Darren C; Ferris, Gerald R; Hochwarter, Wayne; Perrewé, Pamela; Witt, L A; Goodman, Joseph M

2005-09-01

This research examined the interaction of organizational politics perceptions and employee age on job performance in 3 studies. On the basis of conservation of resources theory, the authors predicted that perceptions of politics would demonstrate their most detrimental effects on job performance for older workers. Results across the 3 studies provided strong support for the hypothesis that increases in politics perceptions are associated with decreases in job performance for older employees and that perceptions of politics do not affect younger employees' performance. Implications of these results, strengths and limitations, and directions for future research are discussed. Copyright 2005 APA, all rights reserved.

Risk and resilience: the moderating role of social coping for maternal mental health in a setting of political conflict.

PubMed

Taylor, Laura K; Merrilees, Christine E; Cairns, Ed; Shirlow, Peter; Goeke-Morey, Marcie; Cummings, E Mark

2013-01-01

Violence can threaten individual wellbeing and tear at the social fabric of communities. At the same time, suffering can mobilize social coping and mutual support. Thus, the backdrop of political violence increases risk factors and stimulates resilience. The current study examined the moderating role of social coping as reflective of risk and resiliency in Northern Ireland, a setting of protracted conflict. Specifically, structural equation modeling was used to investigate whether social coping protects from or exacerbates the negative impact of sectarian crime and nonsectarian crime on maternal mental health (N = 631). Nonsectarian crime predicted greater psychological distress for mothers in Belfast. Mixed support was found for the buffering and depletion moderation hypotheses; social coping functioned differently for nonsectarian crime and sectarian crime. Greater social coping buffered mothers' psychological distress from the negative effects of nonsectarian crime, but exacerbated maternal mental health problems when facing sectarian crime. Results suggest that social coping is a complex phenomenon, particularly in settings of protracted political violence. Implications for interventions aimed at alleviating psychological distress by enhancing mothers' social coping in contexts of intergroup conflict are discussed.

A novel multilayer model for missing link prediction and future link forecasting in dynamic complex networks

NASA Astrophysics Data System (ADS)

Yasami, Yasser; Safaei, Farshad

2018-02-01

The traditional complex network theory is particularly focused on network models in which all network constituents are dealt with equivalently, while fail to consider the supplementary information related to the dynamic properties of the network interactions. This is a main constraint leading to incorrect descriptions of some real-world phenomena or incomplete capturing the details of certain real-life problems. To cope with the problem, this paper addresses the multilayer aspects of dynamic complex networks by analyzing the properties of intrinsically multilayered co-authorship networks, DBLP and Astro Physics, and presenting a novel multilayer model of dynamic complex networks. The model examines the layers evolution (layers birth/death process and lifetime) throughout the network evolution. Particularly, this paper models the evolution of each node's membership in different layers by an Infinite Factorial Hidden Markov Model considering feature cascade, and thereby formulates the link generation process for intra-layer and inter-layer links. Although adjacency matrixes are useful to describe the traditional single-layer networks, such a representation is not sufficient to describe and analyze the multilayer dynamic networks. This paper also extends a generalized mathematical infrastructure to address the problems issued by multilayer complex networks. The model inference is performed using some Markov Chain Monte Carlo sampling strategies, given synthetic and real complex networks data. Experimental results indicate a tremendous improvement in the performance of the proposed multilayer model in terms of sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, F1-score, Matthews correlation coefficient, and accuracy for two important applications of missing link prediction and future link forecasting. The experimental results also indicate the strong predictivepower of the proposed model for the application of

Engaging Adolescents in Politics: The Longitudinal Effect of Political Socialization Agents

ERIC Educational Resources Information Center

Quintelier, Ellen

2015-01-01

Starting from a political socialization perspective, this study examined the development of political participation during adolescence and early adulthood. We explore the effect of parents, peers, school media, and voluntary associations on political participation. Self-reported data were collected from 3,025 Belgian adolescents at three points in…

Political processes and variation in renewable energy policies between U.S. states

NASA Astrophysics Data System (ADS)

Vasseur, Michael

Over the past forty years federal efforts at renewable energy policy in the United States have been fragmented and are largely stalled. This is much different from U.S. states, which enact a diverse array of renewable energy policies. What factors explain this subnational variation? Addressing this question requires moving past the standard model of binary policy adoption that dominates studies of renewable energy policy. In its place I provide analyses of multifaceted policy outcomes, and also include predictors from a more inclusive view of politics than the standard economic and political interest factors. These additions to the standard energy policy model shed light not just on when states take policy action, but also on the content of the policies states ultimately adopt. In this dissertation I argue that different combinations of state-level political and economic characteristics influence policy adoption and policy content, a fact that is obscured by analysis of only binary policy action. I demonstrate this through three empirical projects that utilize an original longitudinal dataset and a variety of quantitative methods. The first project examines the diffusion of two varieties of a single regulatory policy instrument within a political context. I demonstrate that, contrary to most diffusion studies, policy adoption should be thought of as a multifaceted process, with separate factors determining the impetus for action and others shaping the content of the policy. My second project examines the role of economic, political, institutional, and cultural factors on a state's portfolio of policies. This work extends findings from prior literature on tax policies and incorporates institutional and cultural accounts of policy adoption into the study of renewable energy policy. I show that state economic and political factors, the predictors in traditional energy policy models, predict policy action but not policy content. Instead it is a state's cultural context

Speaking Politely, Kindly, and Beautifully: Ideologies of Politeness in Japanese Business Etiquette Training

ERIC Educational Resources Information Center

Dunn, Cynthia Dickel

2013-01-01

In recent years, politeness theory has increasingly focused on speakers' own conceptualizations of polite behavior, viewing politeness concepts as a type of language ideology. This article examines the construction of Japanese politeness concepts in the business etiquette training provided for new employees in Japanese companies. Drawing on…

How to predict community responses to perturbations in the face of imperfect knowledge and network complexity

USGS Publications Warehouse

Aufderheide, Helge; Rudolf, Lars; Gross, Thilo; Lafferty, Kevin D.

2013-01-01

Recent attempts to predict the response of large food webs to perturbations have revealed that in larger systems increasingly precise information on the elements of the system is required. Thus, the effort needed for good predictions grows quickly with the system's complexity. Here, we show that not all elements need to be measured equally well, suggesting that a more efficient allocation of effort is possible. We develop an iterative technique for determining an efficient measurement strategy. In model food webs, we find that it is most important to precisely measure the mortality and predation rates of long-lived, generalist, top predators. Prioritizing the study of such species will make it easier to understand the response of complex food webs to perturbations.

The Study of LGBT Politics and Its Contributions to Political Science

ERIC Educational Resources Information Center

Mucciaroni, Gary

2011-01-01

Although the study of LGBT (lesbian, gay, bisexual, transgender) politics appears to be widely accepted within political science, a recent survey of political scientists reported some skepticism about its legitimacy and scholarly worth (Novkov and Barclay 2010). This article examines potential concerns about LGBT studies and draws attention to the…

Political Learning among Youth: Exploring Patterns of Students' First Political Awakening

ERIC Educational Resources Information Center

Solhaug, Trond; Kristensen, Niels Nørgaard

2013-01-01

This article focuses on students' first political learning and explores the research question, "What dynamic patterns of political learning can be explored among a sample of young, diverse Danish students' first political interests?" The authors use theories of learning in their analytical approach to students' stories. A group of 10…

MAPPING CHILDREN’S POLITICS: SPATIAL STORIES, DIALOGIC RELATIONS AND POLITICAL FORMATION

PubMed Central

Elwood, Sarah; Mitchell, Katharyne

2015-01-01

This article confronts a persistent challenge in research on children’s geographies and politics: the difficulty of recognizing forms of political agency and practice that by definition fall outside of existing political theory. Children are effectively “always already” positioned outside most of the structures and ideals of modernist democratic theory, such as the public sphere and abstracted notions of communicative action or “rational” speech. Recent emphases on embodied tactics of everyday life have offered important ways to recognize children’s political agency and practice. However, we argue here that a focus on spatial practices and critical knowledge alone cannot capture the full range of children’s politics, and show how representational and dialogic practices remain a critical element of their politics in everyday life. Drawing on de Certeau’s notion of spatial stories, and Bakhtin’s concept of dialogic relations, we argue that children’s representations and dialogues comprise a significant space of their political agency and formation, in which they can make and negotiate social meanings, subjectivities, and relationships. We develop these arguments with evidence from an after-school activity programme we conducted with 10–13 year olds in Seattle, Washington, in which participants explored, mapped, wrote and spoke about the spaces and experiences of their everyday lives. Within these practices, children negotiate autonomy and self-determination, and forward ideas, representations, and expressions of agreement or disagreement that are critical to their formation as political actors. PMID:25642017

Living Up to the Code's Exhortations? Social Workers' Political Knowledge Sources, Expectations, and Behaviors.

PubMed

Felderhoff, Brandi Jean; Hoefer, Richard; Watson, Larry Dan

2016-01-01

The National Association of Social Workers' (NASW's) Code of Ethics urges social workers to engage in political action. However, little recent research has been conducted to examine whether social workers support this admonition and the extent to which they actually engage in politics. The authors gathered data from a survey of social workers in Austin, Texas, to address three questions. First, because keeping informed about government and political news is an important basis for action, the authors asked what sources of knowledge social workers use. Second, they asked what the respondents believe are appropriate political behaviors for other social workers and NASW. Third, they asked for self-reports regarding respondents' own political behaviors. Results indicate that social workers use the Internet and traditional media services to stay informed; expect other social workers and NASW to be active; and are, overall, more active than the general public in many types of political activities. The comparisons made between expectations for others and their own behaviors are interesting in their complex outcomes. Social workers should strive for higher levels of adherence to the code's urgings on political activity. Implications for future work are discussed.

Queerying the Affective Politics of Doctoral Education: Toward Complex Visions of Agency and Affect

ERIC Educational Resources Information Center

Burford, James

2015-01-01

Higher education (HE) researchers, like their colleagues across the humanities and social sciences, are increasingly tuning in to the political possibilities offered by working with emotion and affect. Reading across this work, it would seem that certain practices, and their associated affects, have achieved an aura of legitimacy, and political…

Chaos in World Politics: A Reflection

NASA Astrophysics Data System (ADS)

Ferreira, Manuel Alberto Martins; Filipe, José António Candeias Bonito; Coelho, Manuel F. P.; Pedro, Isabel C.

Chaos theory results from natural scientists' findings in the area of non-linear dynamics. The importance of related models has increased in the last decades, by studying the temporal evolution of non-linear systems. In consequence, chaos is one of the concepts that most rapidly have been expanded in what research topics respects. Considering that relationships in non-linear systems are unstable, chaos theory aims to understand and to explain this kind of unpredictable aspects of nature, social life, the uncertainties, the nonlinearities, the disorders and confusion, scientifically it represents a disarray connection, but basically it involves much more than that. The existing close relationship between change and time seems essential to understand what happens in the basics of chaos theory. In fact, this theory got a crucial role in the explanation of many phenomena. The relevance of this kind of theories has been well recognized to explain social phenomena and has permitted new advances in the study of social systems. Chaos theory has also been applied, particularly in the context of politics, in this area. The goal of this chapter is to make a reflection on chaos theory - and dynamical systems such as the theories of complexity - in terms of the interpretation of political issues, considering some kind of events in the political context and also considering the macro-strategic ideas of states positioning in the international stage.

Sociodemographic Predictors of Sex Offender Stigma: How Politics Impact Attitudes, Social Distance, and Perceptions of Sex Offender Recidivism.

PubMed

DeLuca, Joseph S; Vaccaro, John; Rudnik, Amalia; Graham, Nicole; Giannicchi, Anna; Yanos, Philip T

2017-08-01

Stigma toward general criminal offenders has been found to be particularly salient among community members who identify as politically conservative; however, less is known about how political identification relates to stigma toward sex offenders. This is a particularly important area of inquiry, given that criminal jurisprudence and politics legitimatize stigmatizing labels attributed to sex offenders through laws and policies that apply specifically to this group. A nonrandom sample ( N = 518) of participants living in the United States was recruited for this survey study. Findings indicated that a specific aspect of conservative political ideology-right-wing authoritarianism (RWA)-significantly predicts negative attitudes and intended social distancing behavior toward sex offenders, even when controlling for other important predictors, such as education and prior contact. RWA was found to be the strongest predictor of negative attitudes and estimations of sex offender recidivism, and also significantly predicted intended social distancing behavior. Implications for addressing stigma toward sex offenders are discussed.

Coevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking

PubMed Central

Madaoui, Hocine; Guerois, Raphaël

2008-01-01

Protein surfaces are under significant selection pressure to maintain interactions with their partners throughout evolution. Capturing how selection pressure acts at the interfaces of protein–protein complexes is a fundamental issue with high interest for the structural prediction of macromolecular assemblies. We tackled this issue under the assumption that, throughout evolution, mutations should minimally disrupt the physicochemical compatibility between specific clusters of interacting residues. This constraint drove the development of the so-called Surface COmplementarity Trace in Complex History score (SCOTCH), which was found to discriminate with high efficiency the structure of biological complexes. SCOTCH performances were assessed not only with respect to other evolution-based approaches, such as conservation and coevolution analyses, but also with respect to statistically based scoring methods. Validated on a set of 129 complexes of known structure exhibiting both permanent and transient intermolecular interactions, SCOTCH appears as a robust strategy to guide the prediction of protein–protein complex structures. Of particular interest, it also provides a basic framework to efficiently track how protein surfaces could evolve while keeping their partners in contact. PMID:18511568

Computational Fluency and Strategy Choice Predict Individual and Cross-National Differences in Complex Arithmetic

ERIC Educational Resources Information Center

Vasilyeva, Marina; Laski, Elida V.; Shen, Chen

2015-01-01

The present study tested the hypothesis that children's fluency with basic number facts and knowledge of computational strategies, derived from early arithmetic experience, predicts their performance on complex arithmetic problems. First-grade students from United States and Taiwan (N = 152, mean age: 7.3 years) were presented with problems that…

Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

NASA Astrophysics Data System (ADS)

Lima, Aranildo R.; Hsieh, William W.; Cannon, Alex J.

2017-12-01

In situations where new data arrive continually, online learning algorithms are computationally much less costly than batch learning ones in maintaining the model up-to-date. The extreme learning machine (ELM), a single hidden layer artificial neural network with random weights in the hidden layer, is solved by linear least squares, and has an online learning version, the online sequential ELM (OSELM). As more data become available during online learning, information on the longer time scale becomes available, so ideally the model complexity should be allowed to change, but the number of hidden nodes (HN) remains fixed in OSELM. A variable complexity VC-OSELM algorithm is proposed to dynamically add or remove HN in the OSELM, allowing the model complexity to vary automatically as online learning proceeds. The performance of VC-OSELM was compared with OSELM in daily streamflow predictions at two hydrological stations in British Columbia, Canada, with VC-OSELM significantly outperforming OSELM in mean absolute error, root mean squared error and Nash-Sutcliffe efficiency at both stations.

Mode and tempo in the evolution of socio-political organization: reconciling ‘Darwinian’ and ‘Spencerian’ evolutionary approaches in anthropology

PubMed Central

Currie, Thomas E.; Mace, Ruth

2011-01-01

Traditional investigations of the evolution of human social and political institutions trace their ancestry back to nineteenth century social scientists such as Herbert Spencer, and have concentrated on the increase in socio-political complexity over time. More recent studies of cultural evolution have been explicitly informed by Darwinian evolutionary theory and focus on the transmission of cultural traits between individuals. These two approaches to investigating cultural change are often seen as incompatible. However, we argue that many of the defining features and assumptions of ‘Spencerian’ cultural evolutionary theory represent testable hypotheses that can and should be tackled within a broader ‘Darwinian’ framework. In this paper we apply phylogenetic comparative techniques to data from Austronesian-speaking societies of Island South-East Asia and the Pacific to test hypotheses about the mode and tempo of human socio-political evolution. We find support for three ideas often associated with Spencerian cultural evolutionary theory: (i) political organization has evolved through a regular sequence of forms, (ii) increases in hierarchical political complexity have been more common than decreases, and (iii) political organization has co-evolved with the wider presence of hereditary social stratification. PMID:21357233

The Arab-Israeli Conflict: A Decision-Making Game. Revised Edition. Supplementary Empirical Teaching Units in Political Science.

ERIC Educational Resources Information Center

Feste, Karen Ann

The Middle East decision making game has been developed to provide college level political science students with some indication of the complexities of international political situations. The central issue examined in the game is the way in which perceptions of a conflict relate to foreign policy decision. The game is divided into two sections. In…

Social complexity beliefs predict posttraumatic growth in survivors of a natural disaster.

PubMed

Nalipay, Ma Jenina N; Bernardo, Allan B I; Mordeno, Imelu G

2016-09-01

Most studies on posttraumatic growth (PTG) have focused on personal characteristics, interpersonal resources, and the immediate environment. There has been less attention on dynamic internal processes related to the development of PTG and on how these processes are affected by the broader culture. Calhoun and Tedeschi's (2006) model suggests a role of distal culture in PTG development, but empirical investigations on that point are limited. The present study investigated the role of social complexity-the generalized belief about changing social environments and inconsistency of human behavior-as a predictor of PTG. Social complexity was hypothesized to be associated with problem-solving approaches that are likely to give rise to cognitive processes that promote PTG. A sample of 446 survivors of Typhoon Haiyan, 1 of the strongest typhoons ever recorded at the time, answered self-report measures of social complexity, cognitive processing of trauma, and PTG. Structural equation modeling indicated a good fit between the data and the hypothesized model; belief in social complexity predicted stronger PTG, mediated by cognitive processing. The results provide evidence for how disaster survivors' beliefs about the changing nature of social environments and their corresponding behavior changes are predictors of PTG and suggest a psychological mechanism for how distal culture can influence PTG. Thus, assessing social complexity beliefs during early the phases of a postdisaster psychosocial intervention may provide useful information on who is likely to experience PTG. Trauma workers might consider culture-specific social themes related to social complexity in disaster-affected communities. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

The Role of Ideas in Education Politics: Using Discourse Analysis To Understand Barriers To Reform in Multiethnic Cities.

ERIC Educational Resources Information Center

Sidney, Mara S.

2002-01-01

Examines how the presence of multiple racial/ethnic groups complicates educational politics. Interviews with participants in education politics in four cities highlight a complex arena of problem definitions and assessment of reforms. The arena is so infused with issues of race/ethnicity that groups agreeing upon some elements of the education…

Predictive power of food web models based on body size decreases with trophic complexity.

PubMed

Jonsson, Tomas; Kaartinen, Riikka; Jonsson, Mattias; Bommarco, Riccardo

2018-05-01

Food web models parameterised using body size show promise to predict trophic interaction strengths (IS) and abundance dynamics. However, this remains to be rigorously tested in food webs beyond simple trophic modules, where indirect and intraguild interactions could be important and driven by traits other than body size. We systematically varied predator body size, guild composition and richness in microcosm insect webs and compared experimental outcomes with predictions of IS from models with allometrically scaled parameters. Body size was a strong predictor of IS in simple modules (r 2  = 0.92), but with increasing complexity the predictive power decreased, with model IS being consistently overestimated. We quantify the strength of observed trophic interaction modifications, partition this into density-mediated vs. behaviour-mediated indirect effects and show that model shortcomings in predicting IS is related to the size of behaviour-mediated effects. Our findings encourage development of dynamical food web models explicitly including and exploring indirect mechanisms. © 2018 John Wiley & Sons Ltd/CNRS.

How Complex, Probable, and Predictable is Genetically Driven Red Queen Chaos?

PubMed

Duarte, Jorge; Rodrigues, Carla; Januário, Cristina; Martins, Nuno; Sardanyés, Josep

2015-12-01

Coevolution between two antagonistic species has been widely studied theoretically for both ecologically- and genetically-driven Red Queen dynamics. A typical outcome of these systems is an oscillatory behavior causing an endless series of one species adaptation and others counter-adaptation. More recently, a mathematical model combining a three-species food chain system with an adaptive dynamics approach revealed genetically driven chaotic Red Queen coevolution. In the present article, we analyze this mathematical model mainly focusing on the impact of species rates of evolution (mutation rates) in the dynamics. Firstly, we analytically proof the boundedness of the trajectories of the chaotic attractor. The complexity of the coupling between the dynamical variables is quantified using observability indices. By using symbolic dynamics theory, we quantify the complexity of genetically driven Red Queen chaos computing the topological entropy of existing one-dimensional iterated maps using Markov partitions. Co-dimensional two bifurcation diagrams are also built from the period ordering of the orbits of the maps. Then, we study the predictability of the Red Queen chaos, found in narrow regions of mutation rates. To extend the previous analyses, we also computed the likeliness of finding chaos in a given region of the parameter space varying other model parameters simultaneously. Such analyses allowed us to compute a mean predictability measure for the system in the explored region of the parameter space. We found that genetically driven Red Queen chaos, although being restricted to small regions of the analyzed parameter space, might be highly unpredictable.

Maintaining Identity Political Culture In Indonesia

NASA Astrophysics Data System (ADS)

Fauzi, AM; Sudrajat, A.; Affandi, A.; Raditya, A.

2018-01-01

This study investigates the portrayal of traditional political cultures in West Kalimantan Province, a growing of election process. Results showed that Political life in Indonesia leads to modern political culture after experiencing a change of paradigm of political life. Political life in Indonesia leads to modern political culture after experiencing a change of paradigm of political life. Beginning Indonesia’s independence in the Old Order Phase, the politics used using the ideological paradigm, subsequent to the New Order Period used the political paradigm of unification and simplification of political parties but in practice it became the strategy of the State’s rulers to facilitate subjugating its citizens. After entering the reform era, several phenomena of political culture are displayed, some are using modern paradigm by giving women the widest possible role in political parties, and so on. Besides that there is the opposite of displaying and practicing traditional political culture, this is as it runs in West Borneo Province. The change of political culture in the modern direction is different from the political culture of the citizens in terms of who will be chosen, most West Borneo Province residents determine their political choice by using traditional patterns.

International Contexts for Political Education.

ERIC Educational Resources Information Center

Harber, Clive

1991-01-01

Uses international examples of the ways in which political learning takes place--indoctrination, political socialization, and political education--to suggest that open and democratic political education is not common, even in democracies. (SK)

Political Issues Skills Kit: Comparing Political Experiences, Experimental Edition.

ERIC Educational Resources Information Center

Gillespie, Judith A.; Lazarus, Stuart

Designed to be an integral part of the second-semester "Comparing Political Experiences" course, this skills kit provides supplementary student activities for four documentary "Political Issues" units. The kit is divided into three sections on skills. The analytical skill section provides exercises on six analytical skills…

Complexity of cardiac signals for predicting changes in alpha-waves after stress in patients undergoing cardiac catheterization

PubMed Central

Chiu, Hung-Chih; Lin, Yen-Hung; Lo, Men-Tzung; Tang, Sung-Chun; Wang, Tzung-Dau; Lu, Hung-Chun; Ho, Yi-Lwun; Ma, Hsi-Pin; Peng, Chung-Kang

2015-01-01

The hierarchical interaction between electrical signals of the brain and heart is not fully understood. We hypothesized that the complexity of cardiac electrical activity can be used to predict changes in encephalic electricity after stress. Most methods for analyzing the interaction between the heart rate variability (HRV) and electroencephalography (EEG) require a computation-intensive mathematical model. To overcome these limitations and increase the predictive accuracy of human relaxing states, we developed a method to test our hypothesis. In addition to routine linear analysis, multiscale entropy and detrended fluctuation analysis of the HRV were used to quantify nonstationary and nonlinear dynamic changes in the heart rate time series. Short-time Fourier transform was applied to quantify the power of EEG. The clinical, HRV, and EEG parameters of postcatheterization EEG alpha waves were analyzed using change-score analysis and generalized additive models. In conclusion, the complexity of cardiac electrical signals can be used to predict EEG changes after stress. PMID:26286628

Complexity of cardiac signals for predicting changes in alpha-waves after stress in patients undergoing cardiac catheterization

NASA Astrophysics Data System (ADS)

Chiu, Hung-Chih; Lin, Yen-Hung; Lo, Men-Tzung; Tang, Sung-Chun; Wang, Tzung-Dau; Lu, Hung-Chun; Ho, Yi-Lwun; Ma, Hsi-Pin; Peng, Chung-Kang

2015-08-01

The hierarchical interaction between electrical signals of the brain and heart is not fully understood. We hypothesized that the complexity of cardiac electrical activity can be used to predict changes in encephalic electricity after stress. Most methods for analyzing the interaction between the heart rate variability (HRV) and electroencephalography (EEG) require a computation-intensive mathematical model. To overcome these limitations and increase the predictive accuracy of human relaxing states, we developed a method to test our hypothesis. In addition to routine linear analysis, multiscale entropy and detrended fluctuation analysis of the HRV were used to quantify nonstationary and nonlinear dynamic changes in the heart rate time series. Short-time Fourier transform was applied to quantify the power of EEG. The clinical, HRV, and EEG parameters of postcatheterization EEG alpha waves were analyzed using change-score analysis and generalized additive models. In conclusion, the complexity of cardiac electrical signals can be used to predict EEG changes after stress.

Computer-aided molecular modeling techniques for predicting the stability of drug cyclodextrin inclusion complexes in aqueous solutions

NASA Astrophysics Data System (ADS)

Faucci, Maria Teresa; Melani, Fabrizio; Mura, Paola

2002-06-01

Molecular modeling was used to investigate factors influencing complex formation between cyclodextrins and guest molecules and predict their stability through a theoretical model based on the search for a correlation between experimental stability constants ( Ks) and some theoretical parameters describing complexation (docking energy, host-guest contact surfaces, intermolecular interaction fields) calculated from complex structures at a minimum conformational energy, obtained through stochastic methods based on molecular dynamic simulations. Naproxen, ibuprofen, ketoprofen and ibuproxam were used as model drug molecules. Multiple Regression Analysis allowed identification of the significant factors for the complex stability. A mathematical model ( r=0.897) related log Ks with complex docking energy and lipophilic molecular fields of cyclodextrin and drug.

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds.

PubMed

Fang, Lingzhao; Sahana, Goutam; Ma, Peipei; Su, Guosheng; Yu, Ying; Zhang, Shengli; Lund, Mogens Sandø; Sørensen, Peter

2017-08-10

A better understanding of the genetic architecture underlying complex traits (e.g., the distribution of causal variants and their effects) may aid in the genomic prediction. Here, we hypothesized that the genomic variants of complex traits might be enriched in a subset of genomic regions defined by genes grouped on the basis of "Gene Ontology" (GO), and that incorporating this independent biological information into genomic prediction models might improve their predictive ability. Four complex traits (i.e., milk, fat and protein yields, and mastitis) together with imputed sequence variants in Holstein (HOL) and Jersey (JER) cattle were analysed. We first carried out a post-GWAS analysis in a HOL training population to assess the degree of enrichment of the association signals in the gene regions defined by each GO term. We then extended the genomic best linear unbiased prediction model (GBLUP) to a genomic feature BLUP (GFBLUP) model, including an additional genomic effect quantifying the joint effect of a group of variants located in a genomic feature. The GBLUP model using a single random effect assumes that all genomic variants contribute to the genomic relationship equally, whereas GFBLUP attributes different weights to the individual genomic relationships in the prediction equation based on the estimated genomic parameters. Our results demonstrate that the immune-relevant GO terms were more associated with mastitis than milk production, and several biologically meaningful GO terms improved the prediction accuracy with GFBLUP for the four traits, as compared with GBLUP. The improvement of the genomic prediction between breeds (the average increase across the four traits was 0.161) was more apparent than that it was within the HOL (the average increase across the four traits was 0.020). Our genomic feature modelling approaches provide a framework to simultaneously explore the genetic architecture and genomic prediction of complex traits by taking advantage of

Toward link predictability of complex networks

PubMed Central

Lü, Linyuan; Pan, Liming; Zhou, Tao; Zhang, Yi-Cheng; Stanley, H. Eugene

2015-01-01

The organization of real networks usually embodies both regularities and irregularities, and, in principle, the former can be modeled. The extent to which the formation of a network can be explained coincides with our ability to predict missing links. To understand network organization, we should be able to estimate link predictability. We assume that the regularity of a network is reflected in the consistency of structural features before and after a random removal of a small set of links. Based on the perturbation of the adjacency matrix, we propose a universal structural consistency index that is free of prior knowledge of network organization. Extensive experiments on disparate real-world networks demonstrate that (i) structural consistency is a good estimation of link predictability and (ii) a derivative algorithm outperforms state-of-the-art link prediction methods in both accuracy and robustness. This analysis has further applications in evaluating link prediction algorithms and monitoring sudden changes in evolving network mechanisms. It will provide unique fundamental insights into the above-mentioned academic research fields, and will foster the development of advanced information filtering technologies of interest to information technology practitioners. PMID:25659742

Lateral orbitofrontal cortex links social impressions to political choices.

PubMed

Xia, Chenjie; Stolle, Dietlind; Gidengil, Elisabeth; Fellows, Lesley K

2015-06-03

Recent studies of political behavior suggest that voting decisions can be influenced substantially by "first-impression" social attributions based on physical appearance. Separate lines of research have implicated the orbitofrontal cortex (OFC) in the judgment of social traits on the one hand and economic decision-making on the other, making this region a plausible candidate for linking social attributions to voting decisions. Here, we asked whether OFC lesions in humans disrupted the ability to judge traits of political candidates or affected how these judgments influenced voting decisions. Seven patients with lateral OFC damage, 18 patients with frontal damage sparing the lateral OFC, and 53 matched healthy participants took part in a simulated election paradigm, in which they voted for real-life (but unknown) candidates based only on photographs of their faces. Consistent with previous work, attributions of "competence" and "attractiveness" based on candidate appearance predicted voting behavior in the healthy control group. Frontal damage did not affect substantially the ability to make competence or attractiveness judgments, but patients with damage to the lateral OFC differed from other groups in how they applied this information when voting. Only attractiveness ratings had any predictive power for voting choices after lateral OFC damage, whereas other frontal patients and healthy controls relied on information about both competence and attractiveness in making their choice. An intact lateral OFC may not be necessary for judgment of social traits based on physical appearance, but it seems to be crucial in applying this information in political decision-making. Copyright © 2015 the authors 0270-6474/15/358507-08$15.00/0.

The Institutional Landscape of Interest Group Politics and School Choice

ERIC Educational Resources Information Center

DeBray-Pelot, Elizabeth H.; Lubienski, Christopher A.; Scott, Janelle T.

2007-01-01

This article provides an updated analysis of the institutional and organizational landscape surrounding the advocacy of and opposition to vouchers and other forms of school choice over the past decade at federal/national, state, and local levels. The politics of choice grew far more complex during the 1990s, with Republican control of Congress and…

Aggregating Political Dimensions: Of the Feasibility of Political Indicators

ERIC Educational Resources Information Center

Sanin, Francisco Gutierrez; Buitrago, Diana; Gonzalez, Andrea

2013-01-01

Political indicators are widely used in academic writing and decision making, but remain controversial. This paper discusses the problems related to the aggregation functions they use. Almost always, political indicators are aggregated by weighted averages or summations. The use of such functions is based on untenable assumptions (existence of…

Predict the neurological recovery under hypothermia after cardiac arrest using C0 complexity measure of EEG signals.

PubMed

Lu, Yueli; Jiang, Dineng; Jia, Xiaofeng; Qiu, Yihong; Zhu, Yisheng; Thakor, Nitish; Tong, Shanbao

2008-01-01

Clinical trials have proven the efficacy of therapeutic hypothermia in improving the functional outcome after cardiac arrest (CA) compared with the normothermic controls. Experimental researches also demonstrated quantitative electroencephalogram (qEEG) analysis was associated with the long-term outcome of the therapeutic hypothermia in brain injury. Nevertheless, qEEG has not been able to provide a prediction earlier than 6h after the return of spontaneous circulation (ROSC). In this study, we use C0 complexity to analyze the nonlinear characteristic of EEG, which could predict the neurological recovery under therapeutic hypothermia during the early phase after asphyxial cardiac arrest in rats. Twelve Wistar rats were randomly assigned to 9-min asphyxia injury under hypothermia (33 degrees C, n=6) or normothermia (37 degrees C, n=6). Significantly greater C0 complexity was found in hypothermic group than that in normothermic group as early as 4h after the ROSC (P0.05). C0 complexity at 4h correlated well with the 72h neurodeficit score (NDS) (Pearson's correlation = 0.882). The results showed that the C0 complexity could be an early predictor of the long-term neurological recovery from cardiac arrest.

Teaching American Politics through Student Projects: Electoral Reform Issues and Political Change.

ERIC Educational Resources Information Center

Alper, Donald K.; Hogan, Eugene

1979-01-01

Describes two projects which involve college students in political science courses on American politics in doing research and giving class reports on proposals for reforming the electoral college and the electoral process. Findings indicate that students participating in the projects become more aware of political realities and learn how to use…

Developing predictive systems models to address complexity and relevance for ecological risk assessment.

PubMed

Forbes, Valery E; Calow, Peter

2013-07-01

Ecological risk assessments (ERAs) are not used as well as they could be in risk management. Part of the problem is that they often lack ecological relevance; that is, they fail to grasp necessary ecological complexities. Adding realism and complexity can be difficult and costly. We argue that predictive systems models (PSMs) can provide a way of capturing complexity and ecological relevance cost-effectively. However, addressing complexity and ecological relevance is only part of the problem. Ecological risk assessments often fail to meet the needs of risk managers by not providing assessments that relate to protection goals and by expressing risk in ratios that cannot be weighed against the costs of interventions. Once more, PSMs can be designed to provide outputs in terms of value-relevant effects that are modulated against exposure and that can provide a better basis for decision making than arbitrary ratios or threshold values. Recent developments in the modeling and its potential for implementation by risk assessors and risk managers are beginning to demonstrate how PSMs can be practically applied in risk assessment and the advantages that doing so could have. Copyright © 2013 SETAC.

Getting Politically Active

NASA Technical Reports Server (NTRS)

Shaw, Robert J.

2003-01-01

Projects can, and do, succeed because of politics. And they can fail due to politics, as well. Politics does not have to be a dirty word, if it means working closely and openly with customers and stakeholder s; it is an essential approach that requires continuous dedication of time and attention. Project management is a people industry. Gainin g the trust of your followers will grant you more influence than any formal authority.

GenoMatrix: A Software Package for Pedigree-Based and Genomic Prediction Analyses on Complex Traits.

PubMed

Nazarian, Alireza; Gezan, Salvador Alejandro

2016-07-01

Genomic and pedigree-based best linear unbiased prediction methodologies (G-BLUP and P-BLUP) have proven themselves efficient for partitioning the phenotypic variance of complex traits into its components, estimating the individuals' genetic merits, and predicting unobserved (or yet-to-be observed) phenotypes in many species and fields of study. The GenoMatrix software, presented here, is a user-friendly package to facilitate the process of using genome-wide marker data and parentage information for G-BLUP and P-BLUP analyses on complex traits. It provides users with a collection of applications which help them on a set of tasks from performing quality control on data to constructing and manipulating the genomic and pedigree-based relationship matrices and obtaining their inverses. Such matrices will be then used in downstream analyses by other statistical packages. The package also enables users to obtain predicted values for unobserved individuals based on the genetic values of observed related individuals. GenoMatrix is available to the research community as a Windows 64bit executable and can be downloaded free of charge at: http://compbio.ufl.edu/software/genomatrix/. © The American Genetic Association. 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

A Clash of Cultures: Improving the "Fit" between Evaluative Independence and the Political Requirements of a Democratic Society

ERIC Educational Resources Information Center

Chelimsky, Eleanor

2008-01-01

This article presents a plenary address wherein the author talks about cultural clashes, about what happens when evaluation meets politics. In her address, the author talks about the kinds of clashes that occur on a regular basis between evaluative independence and the political culture it challenges, along with possible ways to predict, parry, or…

Similarity indices based on link weight assignment for link prediction of unweighted complex networks

NASA Astrophysics Data System (ADS)

Liu, Shuxin; Ji, Xinsheng; Liu, Caixia; Bai, Yi

2017-01-01

Many link prediction methods have been proposed for predicting the likelihood that a link exists between two nodes in complex networks. Among these methods, similarity indices are receiving close attention. Most similarity-based methods assume that the contribution of links with different topological structures is the same in the similarity calculations. This paper proposes a local weighted method, which weights the strength of connection between each pair of nodes. Based on the local weighted method, six local weighted similarity indices extended from unweighted similarity indices (including Common Neighbor (CN), Adamic-Adar (AA), Resource Allocation (RA), Salton, Jaccard and Local Path (LP) index) are proposed. Empirical study has shown that the local weighted method can significantly improve the prediction accuracy of these unweighted similarity indices and that in sparse and weakly clustered networks, the indices perform even better.

The politics of socioeconomic status: how socioeconomic status may influence political attitudes and engagement.

PubMed

Brown-Iannuzzi, Jazmin L; Lundberg, Kristjen B; McKee, Stephanie

2017-12-01

Socioeconomic status is hypothesized to be one factor informing political attitudes and actions. Presumably, this relationship is rooted in economic self-interest, with individuals preferring policies that would benefit them financially. In addition, these economic policy preferences are assumed to translate into political action. However, the relationships between socioeconomic status and political attitudes and behavior, as well as the psychological mechanisms associated with those relationships, are not straightforward. Here, we briefly review the current state of knowledge on the relationships between socioeconomic status and political attitudes and behavior. Overall, the research suggests that while socioeconomic status informs political attitudes toward economic policies, these attitudes may not correlate with complementary political behavior. Copyright © 2017. Published by Elsevier Ltd.

State political ideology, policies and health behaviors: The case of tobacco.

PubMed

Fox, Ashley M; Feng, Wenhui; Yumkham, Rakesh

2017-05-01

Anti-smoking campaigns are widely viewed as a success case in public health policy. However, smoking rates continue to vary widely across U.S. states and the success of anti-smoking campaigns is contingent upon states' adoption of anti-smoking policies. Though state anti-smoking policy is a product of a political process, studies of the effect of policies on smoking prevalence have largely ignored how politics shapes policy adoption, which, in turn, impact state health outcomes. Policies may also have different effects in different political contexts. This study tests how state politics affects smoking prevalence both through the policies that states adopt (with policies playing a mediating role on health outcomes) or as an effect modifier of behavior (tobacco control policies may work differently in states in which the public is more or less receptive to them). The study uses publicly available data to construct a time-series cross-section dataset of state smoking prevalence, state political context, cigarette excise taxes, indoor smoking policies, and demographic characteristics from 1995 to 2013. Political ideology is measured using a validated indicator of the ideology of state legislatures and of the citizens of a state. We assess the relationship between state political context and state smoking prevalence rates adjusting for demographic characteristics and accounting for the mediating/moderating role of state policies with time and state fixed effects. We find that more liberal state ideology predicts lower adult smoking rates, but that the relationship between state ideology and adult smoking prevalence is only partly explained by state anti-smoking policies. Copyright © 2017 Elsevier Ltd. All rights reserved.

Past-focused temporal communication overcomes conservatives' resistance to liberal political ideas.

PubMed

Lammers, Joris; Baldwin, Matt

2018-04-01

Nine studies and a meta-analysis test the role of past-focused temporal communication in reducing conservatives' disagreement with liberal political ideas. We propose that conservatives are more prone to warm, affectionate, and nostalgic feelings for past society. Therefore, they are more likely to support political ideas-including those expressing liberal values-that can be linked to a desirable past state (past focus), rather than a desirable future state (future focus) of society. Study 1 supports our prediction that political conservatives are more nostalgic for the past than liberals. Building on this association, we demonstrate that communicating liberal ideas with a past focus increases conservatives' support for leniency in criminal justice (Studies 2a and 2b), gun control (Study 3), immigration (Study 4), social diversity (Study 5), and social justice (Study 6). Communicating messages with a past focus reduced political disagreement (compared with a future focus) between liberals and conservatives by between 30 and 100% across studies. Studies 5 and 6 identify the mediating role of state and trait nostalgia, respectively. Study 7 shows that the temporal communication effect only occurs under peripheral (and not central) information processing. Study 8 shows that the effect is asymmetric; a future focus did not increase liberals' support for conservative ideas. A mixed-effects meta-analysis across all studies confirms that appealing to conservatives' nostalgia with a past-focused temporal focus increases support for liberal political messages (Study 9). A large portion of the political disagreement between conservatives and liberals appears to be disagreement over style, and not content of political issues. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Comparing Political Experiences (CPE).

ERIC Educational Resources Information Center

Gillespie, Judith A.; Patrick, John J.

The rationale, goals, curriculum components, instructional strategies, and curriculum development process of a two-semester, secondary-level political science course, "Comparing Political Experiences," are described in this paper. Developed as part of the High School Political Science Curriculum Project at Indiana University, the major…

Political Education in School

ERIC Educational Resources Information Center

Dag, Nilgun; Sozer, Mehmet Akif; Sel, Burcu

2015-01-01

Political education is a term with negative associations and triggering prejudiced approaches and discourses--maybe some paranoid thoughts--like "keep politics away from education!" in the minds of several people. This article deals with "political education" phenomenon almost never discussed and made subject to scientific…

What is Political Psychology?

ERIC Educational Resources Information Center

Deutsch, Morton

1983-01-01

Political psychology is the study of the bidirectional interaction of political and psychological processes. This academic discipline was founded after the First World War by Harold D. Lasswell. The content of political psychology is discussed and illustrative studies of the field are briefly summarized. (CS)

Analyzing Political Television Advertisements.

ERIC Educational Resources Information Center

Burson, George

1992-01-01

Presents a lesson plan to help students understand that political advertisements often mislead, lie, or appeal to emotion. Suggests that the lesson will enable students to examine political advertisements analytically. Includes a worksheet to be used by students to analyze individual political advertisements. (DK)

USA: Economics, Politics, Ideology, Number 7, July 1977.

DTIC Science & Technology

1977-08-01

viewpoint of one of its domestic political goals. Americans’ attention is artificially distracted from both the real socioeconomic problems and the real...34third basket" cannot be artificially singled out of the broad complex of questions considered in the final act. The questions of war and peace which...scientific advisory staff was stimulated even more by the successful launching of the first Soviet artificial earth satellite, which evoked mass-scale

Higher Education and the Practice of Democratic Politics: A Political Education Reader. Kettering Political Education Series.

ERIC Educational Resources Information Center

Murchland, Bernard, Ed.

This book is a collection of essays on political education for democratic citizenship in higher education developed out of meetings over 5 years of a small group of faculty, administrators and students who gathered to discuss the way academia was educating young people for political responsibility. Following a foreword and an introduction by…

Political ideology and labor arbitrators' decision making in work-family conflict cases.

PubMed

Biernat, Monica; Malin, Martin H

2008-07-01

Labor arbitrators were asked to render decisions about grievances brought by employees who had been fired because of problems created by work conflicts with family responsibilities. The study examined the effects of experimentally manipulated grievant attributes (gender, type of work-family conflict) as well as arbitrator attributes (gender, political ideology) on decision making. When employees were depicted as having had child care problems, liberal arbitrators tended to favor female over male grievants, and political conservatism predicted more favorable judgments rendered toward male grievants. Overall, the data suggest that child care responsibilities cue different patterns of gender bias among liberal and conservative decision makers.

Astronomy, Divination, and Politics in the Neo-Assyrian Empire

NASA Astrophysics Data System (ADS)

Verderame, Lorenzo

Celestial divination had an important role in the complex political and military machine of the Neo-Assyrian empire. Thousand of cuneiform documents dealing with celestial divination have come to light from the excavated archives of this period, as the Assurbanipal's library. Among them letters and reports enlight the relation of the king with his experts (ummânu), who performed divination and apotropaic rituals for his protection.

[Mental Health and Political Violence. Care of Psychiatric Patient or Acknowledge of the Micropolitics of the Subject].

PubMed

Arias López, Beatriz Elena

2013-09-01

Political violence is a global phenomenon, especially in low- to middle-income countries. This phenomenon increasingly involves civilians. This situation is a priority in collective health, as it produces multiple and complex effects on physical and mental health, and human and social ecosystems. The objective of this article is to present the main tendencies that coexist in research and practice on the understanding of the effects of political violence on mental health. The biomedical approach of psychiatric trauma and the wider perspective of social sciences, which incorporate the collective dimension of these effects, are also taken into account. Review of research determines the relationship with political violence / collective violence and mental health in international databases and national documentation centers, academics and NGOs within the last decade of the twentieth century, and the first of this century under the headings of trauma, war, armed conflict and political violence. The limitations of general explanations of psychiatric trauma in understanding the complex effects of political violence on mental health are shown. The constructs that incorporate social and collective dimensions increase this comprehension of these effects and knowledge of mental health, both conceptually as methodologically. In a political violence context it urgent to change attitudes about mental health. It is a way to overcome the biomedical, individualistic, and short term epidemiology, and to remove medication from mental health. This means acknowledging that people who experience the effects of political violence effects are not sick. They are powerful people who can transform and produce the life they dream of. Copyright © 2013 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

The Politics of Intention: Looking for a Theatre of Little Changes

ERIC Educational Resources Information Center

Balfour, Michael

2009-01-01

The paper provides a review of some of the terminologies and definitions of applied theatre, critiques the "transformative principle" argued for by some applied researchers, and extends this to a discussion on the complex relationship between donor agendas and the politics of intention that contribute to the shaping of applied discourse…

Politics, moral reasoning and the Defining Issues Test: a reply to Barnett et al. (1995).

PubMed

Emler, N; Palmer-Canton, E; St James, A

1998-12-01

Previous research has consistently shown that those on the political Right tend to prefer or use conventional or Stage 4 moral reasoning, while those on the political Left prefer principled or Stage 5 reasoning (cf. Kohlberg, 1976). One interpretation of this finding is that developmental level of moral reasoning influences a person's political views, another that the moral 'stages' associated with contrasting political positions are in fact contrasting politico-moral ideologies and that people choose the form of moral reasoning which best expresses their own political identity. We report four studies to test aspects of these alternatives. Participants (N = 50) in Study 1 rated moral arguments representing different stages as differentially relevant to people of varying political persuasions. In Study 2, participants (N = 106), assigned to play the role of constituency political parties (either Labour or Conservative) selecting candidates to represent their party, evaluated imaginary candidates differentially as a function of the kinds of moral arguments the candidates expressed. In Study 3 (N = 61), principled and particularly conventional moral arguments were again found to express contrasting political identities. In Study 4 (N = 51) a manipulation of the salience of participants' political identity produced as predicted high correlations between moral reasoning scores and measures of political attitudes when political identity was salient but not when personal identity was salient. The findings overall, however, only partially support the view that political identity influences moral reasoning. We conclude that, although degree of preference for conventional or Stage 4 reasoning is a function of political identity, principled reasoning may be unrelated to political orientation. We also propose that these two forms of reasoning do not reflect successive development stages and that preference for one may be independent of preference for the other.

FDA approved drugs complexed to their targets: evaluating pose prediction accuracy of docking protocols.

PubMed

Bohari, Mohammed H; Sastry, G Narahari

2012-09-01

Efficient drug discovery programs can be designed by utilizing existing pools of knowledge from the already approved drugs. This can be achieved in one way by repositioning of drugs approved for some indications to newer indications. Complex of drug to its target gives fundamental insight into molecular recognition and a clear understanding of putative binding site. Five popular docking protocols, Glide, Gold, FlexX, Cdocker and LigandFit have been evaluated on a dataset of 199 FDA approved drug-target complexes for their accuracy in predicting the experimental pose. Performance for all the protocols is assessed at default settings, with root mean square deviation (RMSD) between the experimental ligand pose and the docked pose of less than 2.0 Å as the success criteria in predicting the pose. Glide (38.7 %) is found to be the most accurate in top ranked pose and Cdocker (58.8 %) in top RMSD pose. Ligand flexibility is a major bottleneck in failure of docking protocols to correctly predict the pose. Resolution of the crystal structure shows an inverse relationship with the performance of docking protocol. All the protocols perform optimally when a balanced type of hydrophilic and hydrophobic interaction or dominant hydrophilic interaction exists. Overall in 16 different target classes, hydrophobic interactions dominate in the binding site and maximum success is achieved for all the docking protocols in nuclear hormone receptor class while performance for the rest of the classes varied based on individual protocol.

Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.

PubMed

Theofilatos, Konstantinos; Pavlopoulou, Niki; Papasavvas, Christoforos; Likothanassis, Spiros; Dimitrakopoulos, Christos; Georgopoulos, Efstratios; Moschopoulos, Charalampos; Mavroudi, Seferina

2015-03-01

Proteins are considered to be the most important individual components of biological systems and they combine to form physical protein complexes which are responsible for certain molecular functions. Despite the large availability of protein-protein interaction (PPI) information, not much information is available about protein complexes. Experimental methods are limited in terms of time, efficiency, cost and performance constraints. Existing computational methods have provided encouraging preliminary results, but they phase certain disadvantages as they require parameter tuning, some of them cannot handle weighted PPI data and others do not allow a protein to participate in more than one protein complex. In the present paper, we propose a new fully unsupervised methodology for predicting protein complexes from weighted PPI graphs. The proposed methodology is called evolutionary enhanced Markov clustering (EE-MC) and it is a hybrid combination of an adaptive evolutionary algorithm and a state-of-the-art clustering algorithm named enhanced Markov clustering. EE-MC was compared with state-of-the-art methodologies when applied to datasets from the human and the yeast Saccharomyces cerevisiae organisms. Using public available datasets, EE-MC outperformed existing methodologies (in some datasets the separation metric was increased by 10-20%). Moreover, when applied to new human datasets its performance was encouraging in the prediction of protein complexes which consist of proteins with high functional similarity. In specific, 5737 protein complexes were predicted and 72.58% of them are enriched for at least one gene ontology (GO) function term. EE-MC is by design able to overcome intrinsic limitations of existing methodologies such as their inability to handle weighted PPI networks, their constraint to assign every protein in exactly one cluster and the difficulties they face concerning the parameter tuning. This fact was experimentally validated and moreover, new

Talking Politics, Practicing Citizenship

ERIC Educational Resources Information Center

MacKinnon, Mary Pat

2008-01-01

The message emerging from a recent research series on youth civic and political participation is clear: today's youth are not disengaged from associational and small "p" political life, but they are increasingly disenchanted with formal political institutions and practices. Generation Y (those born after 1979) has less formal political…

Terror, Resource Gains and Exclusionist Political Attitudes among New Immigrants and Veteran Israelis

PubMed Central

Halperin, Eran; Canetti, Daphna; Hobfoll, Stevan E.; Johnson, Robert J.

2011-01-01

This study analyses the antecedents of exclusionist political attitudes towards Palestinian citizens of Israel among Israeli immigrants from the former Soviet Union in comparison to Old Jewish Israelis (OJI). A large-scale study of exclusionist political attitudes was conducted in the face of ongoing terrorism in Israel through telephone surveys carried out in September 2003 with 641 OJI and 131 immigrants. The main goal of the survey was to estimate the influence of perceived loss and gain of resources—as a consequence of terror—on attitudes towards Palestinian Israelis, while controlling for other relevant predictors of exclusionism—i.e. authoritarianism or threat perception. Findings obtained via interaction analyses and structural equation modelling show that a) immigrants display higher levels of exclusionist political attitudes towards Palestinian citizens of Israel than OJI; b) loss of resources, authoritarianism, and hawkish (rightist) worldviews predict exclusionist political attitudes among both immigrants and non-immigrants; c) failure to undergo post-traumatic growth (resource gain) in response to terrorism (e.g. finding meaning in life, becoming closer to others) is a significant predictor of exclusionist political attitudes only among immigrants. PMID:22140351

Do Implicit Attitudes Predict Actual Voting Behavior Particularly for Undecided Voters?

PubMed Central

Friese, Malte; Smith, Colin Tucker; Plischke, Thomas; Bluemke, Matthias; Nosek, Brian A.

2012-01-01

The prediction of voting behavior of undecided voters poses a challenge to psychologists and pollsters. Recently, researchers argued that implicit attitudes would predict voting behavior particularly for undecided voters whereas explicit attitudes would predict voting behavior particularly for decided voters. We tested this assumption in two studies in two countries with distinct political systems in the context of real political elections. Results revealed that (a) explicit attitudes predicted voting behavior better than implicit attitudes for both decided and undecided voters, and (b) implicit attitudes predicted voting behavior better for decided than undecided voters. We propose that greater elaboration of attitudes produces stronger convergence between implicit and explicit attitudes resulting in better predictive validity of both, and less incremental validity of implicit over explicit attitudes for the prediction of voting behavior. However, greater incremental predictive validity of implicit over explicit attitudes may be associated with less elaboration. PMID:22952898

The Role of Political Theory in the Teaching of Political Science in Mexico.

ERIC Educational Resources Information Center

Suarez-Iniguez, Enrique

1989-01-01

Discusses three major problems within the field of political science in Mexico: the dearth of classes offered, lack of consensus on the content of courses, and the very limited role of political theory. Provides charts and statistics on the state of political science in the country. (RW)

Risk and Resilience: The Moderating Role of Social Coping for Maternal Mental Health in a Setting of Political Conflict

PubMed Central

Taylor, Laura K.; Merrilees, Christine E.; Cairns, Ed; Shirlow, Peter; Goeke-Morey, Marcie; Cummings, E. Mark

2012-01-01

Violence can threaten individual well-being and tear at the social fabric of communities. At the same time, suffering can mobilize social coping and mutual support. Thus, the backdrop of political violence increases risk factors and stimulates resilience. The current study examined the moderating role of social coping as reflective of risk and resiliency in Northern Ireland, a setting of protracted conflict. Specifically, structural equation modeling was used to investigate whether social coping protects from or exacerbates the negative impact of sectarian crime and nonsectarian crime on maternal mental health (N=631). Nonsectarian crime predicted greater psychological distress for mothers in Belfast. Mixed support was found for the buffering and depletion moderation hypotheses; social coping functioned differently for nonsectarian crime and sectarian crime. Greater social coping buffered mothers’ psychological distress from the negative effects of nonsectarian crime, but exacerbated maternal mental health problems when facing sectarian crime. Results suggest that social coping is a complex phenomenon, particularly in settings of protracted political violence. Implications for interventions aimed at alleviating psychological distress by enhancing mothers’ social coping in contexts of intergroup conflict are discussed. PMID:22506629

Triangle network motifs predict complexes by complementing high-error interactomes with structural information.

PubMed

Andreopoulos, Bill; Winter, Christof; Labudde, Dirk; Schroeder, Michael

2009-06-27

A lot of high-throughput studies produce protein-protein interaction networks (PPINs) with many errors and missing information. Even for genome-wide approaches, there is often a low overlap between PPINs produced by different studies. Second-level neighbors separated by two protein-protein interactions (PPIs) were previously used for predicting protein function and finding complexes in high-error PPINs. We retrieve second level neighbors in PPINs, and complement these with structural domain-domain interactions (SDDIs) representing binding evidence on proteins, forming PPI-SDDI-PPI triangles. We find low overlap between PPINs, SDDIs and known complexes, all well below 10%. We evaluate the overlap of PPI-SDDI-PPI triangles with known complexes from Munich Information center for Protein Sequences (MIPS). PPI-SDDI-PPI triangles have ~20 times higher overlap with MIPS complexes than using second-level neighbors in PPINs without SDDIs. The biological interpretation for triangles is that a SDDI causes two proteins to be observed with common interaction partners in high-throughput experiments. The relatively few SDDIs overlapping with PPINs are part of highly connected SDDI components, and are more likely to be detected in experimental studies. We demonstrate the utility of PPI-SDDI-PPI triangles by reconstructing myosin-actin processes in the nucleus, cytoplasm, and cytoskeleton, which were not obvious in the original PPIN. Using other complementary datatypes in place of SDDIs to form triangles, such as PubMed co-occurrences or threading information, results in a similar ability to find protein complexes. Given high-error PPINs with missing information, triangles of mixed datatypes are a promising direction for finding protein complexes. Integrating PPINs with SDDIs improves finding complexes. Structural SDDIs partially explain the high functional similarity of second-level neighbors in PPINs. We estimate that relatively little structural information would be sufficient

The politics of toxic waste

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rahm, D.

1998-12-31

Toxic waste, and the public policy that deals with it, is a complex issue. Much of the complexity stems from the science and technology embedded in the topic, but a great deal also results from the intricate interactions between the social organizations and institutions involved. The politics of toxic waste plays out within three key aspects of this complexity. The first of these is the nature of the intergovernmental relations involved. For toxic waste issues, these intergovernmental relations can be between sovereign states or between a nation and an international governing organization, or they may be restricted to a domesticmore » context. If the later is the case, the relationship can be between federal, state, and local governments or between different bureaus, departments, or agencies within the same level of government. A second feature of this complexity can be seen in the consequences of divergent organizational or institutional interests. When conflicting organizational or institutional perspectives, positions, or concerns arise, public policy outcomes are affected.The tug and pull of competing actors move policy in the direction favored by the winner. This may or may not be the most rational alternative. A third aspect of this interorganizational puzzle involves the question of where the locus of authority for decisionmaking resides and to what extent stakeholders, who do not possess direct authority, can influence policy outcomes.« less

Political Attitude Congruence between Politically Active Parents and College-Age Children: An Inquiry into Family Political Socialization.

ERIC Educational Resources Information Center

Thomas, L. Eugene

A brief introductory review of the literature reveals that research on family influence in the development of political orientations in adult children is inconclusive. This study focused on highly politicized families and examines: (1) the relative influence of family emotional climate versus family political climate; and (2) the relative…

The Journey toward Developing Political Consciousness through Activism for Mexican American Women

ERIC Educational Resources Information Center

Hernandez, Ebelia

2012-01-01

This study examined how Mexican American women made meaning of their undergraduate activism and its potential implications on their development toward self-authorship. The developing political consciousness model emerged from their interviews to demonstrate the process of developing increasingly complex social knowledge, the shift of motivation to…

Has Political Science Ignored Religion?

ERIC Educational Resources Information Center

Kettell, Steven

2012-01-01

A common complaint from political scientists involved in the study of religion is that religious issues have been largely overlooked by political science. Through a content analysis of leading political science and sociology journals from 2000 to 2010, this article considers the extent of this claim. The results show that political science…

Political Education in Hungary.

ERIC Educational Resources Information Center

Szabo, Mate

1989-01-01

The contradictions of political education in East European socialist countries based on the Hungarian experience are explored in this paper. Divided into three parts, the first part gives a brief sketch of institutionalized political education, while the second concerns the crisis of Hungary's political education emerging in the 1980s. In the…

Learning To Live with Complexity.

ERIC Educational Resources Information Center

Dosa, Marta

Neither the design of information systems and networks nor the delivery of library services can claim true user centricity without an understanding of the multifaceted psychological environment of users and potential users. The complexity of the political process, social problems, challenges to scientific inquiry, entrepreneurship, and…

Rhythmic complexity and predictive coding: a novel approach to modeling rhythm and meter perception in music

PubMed Central

Vuust, Peter; Witek, Maria A. G.

2014-01-01

Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has a remarkable capacity to move our minds and bodies. How does the cognitive system enable our experiences of rhythmically complex music? In this paper, we describe some common forms of rhythmic complexity in music and propose the theory of predictive coding (PC) as a framework for understanding how rhythm and rhythmic complexity are processed in the brain. We also consider why we feel so compelled by rhythmic tension in music. First, we consider theories of rhythm and meter perception, which provide hierarchical and computational approaches to modeling. Second, we present the theory of PC, which posits a hierarchical organization of brain responses reflecting fundamental, survival-related mechanisms associated with predicting future events. According to this theory, perception and learning is manifested through the brain’s Bayesian minimization of the error between the input to the brain and the brain’s prior expectations. Third, we develop a PC model of musical rhythm, in which rhythm perception is conceptualized as an interaction between what is heard (“rhythm”) and the brain’s anticipatory structuring of music (“meter”). Finally, we review empirical studies of the neural and behavioral effects of syncopation, polyrhythm and groove, and propose how these studies can be seen as special cases of the PC theory. We argue that musical rhythm exploits the brain’s general principles of prediction and propose that pleasure and desire for sensorimotor synchronization from musical rhythm may be a result of such mechanisms. PMID:25324813

Accurate prediction of polarised high order electrostatic interactions for hydrogen bonded complexes using the machine learning method kriging.

PubMed

Hughes, Timothy J; Kandathil, Shaun M; Popelier, Paul L A

2015-02-05

As intermolecular interactions such as the hydrogen bond are electrostatic in origin, rigorous treatment of this term within force field methodologies should be mandatory. We present a method able of accurately reproducing such interactions for seven van der Waals complexes. It uses atomic multipole moments up to hexadecupole moment mapped to the positions of the nuclear coordinates by the machine learning method kriging. Models were built at three levels of theory: HF/6-31G(**), B3LYP/aug-cc-pVDZ and M06-2X/aug-cc-pVDZ. The quality of the kriging models was measured by their ability to predict the electrostatic interaction energy between atoms in external test examples for which the true energies are known. At all levels of theory, >90% of test cases for small van der Waals complexes were predicted within 1 kJ mol(-1), decreasing to 60-70% of test cases for larger base pair complexes. Models built on moments obtained at B3LYP and M06-2X level generally outperformed those at HF level. For all systems the individual interactions were predicted with a mean unsigned error of less than 1 kJ mol(-1). Copyright © 2013 Elsevier B.V. All rights reserved.

Tracking Politics with POWER

ERIC Educational Resources Information Center

Moreira, Silvio; Batista, David S.; Carvalho, Paula; Couto, Francisco M.; Silva, Mario J.

2013-01-01

Purpose: POWER is an ontology of political processes and entities. It is designed for tracking politicians, political organizations and elections, both in mainstream and social media. The aim of this paper is to propose a data model to describe political agents and their relations over time. Design/methodology/approach: The authors propose a data…

An efficient hybrid technique in RCS predictions of complex targets at high frequencies

NASA Astrophysics Data System (ADS)

Algar, María-Jesús; Lozano, Lorena; Moreno, Javier; González, Iván; Cátedra, Felipe

2017-09-01

Most computer codes in Radar Cross Section (RCS) prediction use Physical Optics (PO) and Physical theory of Diffraction (PTD) combined with Geometrical Optics (GO) and Geometrical Theory of Diffraction (GTD). The latter approaches are computationally cheaper and much more accurate for curved surfaces, but not applicable for the computation of the RCS of all surfaces of a complex object due to the presence of caustic problems in the analysis of concave surfaces or flat surfaces in the far field. The main contribution of this paper is the development of a hybrid method based on a new combination of two asymptotic techniques: GTD and PO, considering the advantages and avoiding the disadvantages of each of them. A very efficient and accurate method to analyze the RCS of complex structures at high frequencies is obtained with the new combination. The proposed new method has been validated comparing RCS results obtained for some simple cases using the proposed approach and RCS using the rigorous technique of Method of Moments (MoM). Some complex cases have been examined at high frequencies contrasting the results with PO. This study shows the accuracy and the efficiency of the hybrid method and its suitability for the computation of the RCS at really large and complex targets at high frequencies.

Playing, sitting out, and observing the game: an investigation of faculty members' perspectives on political behavior in ethical decision making.

PubMed

Medeiros, Kelsey E; Gibson, Carter; Mecca, Jensen T; Giorgini, Vincent; Connelly, Shane; Mumford, Michael D

2015-01-01

Ethical dilemmas are inherently ambiguous, complex, and ill-defined. Additionally, these dilemmas involve multiple stakeholders. These characteristics may induce political behavior as a resolution tactic. Thus, the goal of the present effort was to investigate perspectives on politics among researchers in an ethical decision-making context. A qualitative analysis of interviews with university faculty members revealed that faculty members' perspectives on political behavior in an ethical decision-making context fall into a number of categories, including positive, negative, and realistic views of political activity. The implications of these varying perspectives on ethical decision making are discussed.

Political and news media factors shaping public awareness of the HPV vaccine.

PubMed

Gollust, Sarah E; Attanasio, Laura; Dempsey, Amanda; Benson, Allison M; Fowler, Erika Franklin

2013-01-01

In 2006, the U.S. Food and Drug Administration licensed a vaccine for the human papillomavirus (HPV) that prevents the strains of HPV that cause 70% of cervical cancers. Within months, many states introduced legislation requiring the vaccine for girls, prompting controversy and heightened political and media attention to the issue. Previous research has shown differences in HPV vaccine awareness by individual-level characteristics such as race/ethnicity, income, and education levels. We examined how individual political orientation and exposure to media coverage can also shape awareness of the vaccine. Using data from a 2009 Internet survey of 1,216 nationally representative adult respondents linked to data on state-specific news coverage, we assessed how political orientation, media exposure, and state political context predicted HPV vaccine awareness. Younger people, women, and those with more education were significantly more likely to be aware of the vaccine. Even after controlling for these characteristics, we found that exposure to news media was associated with higher HPV vaccine awareness. Whereas liberals and conservatives were both more aware of the vaccine compared with moderates, the data are suggestive that liberals were more sensitive to news coverage. These findings suggest that individual-level political identities and their interaction with the informational environment may be important factors to consider in evaluating the determinants of individuals' attitudes and behaviors related to politically charged women's health issues. Copyright © 2013 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

QMU as an approach to strengthening the predictive capabilities of complex models.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gray, Genetha Anne.; Boggs, Paul T.; Grace, Matthew D.

2010-09-01

. Third, Bayesian methods for optimal testing in the QMU framework were developed. This completion of this project represent an increased understanding of how to apply and use the QMU process as a means for improving model predictions of the behavior of complex systems. 4« less

Perceived discrimination predicts increased support for political rights and life satisfaction mediated by ethnic identity: A longitudinal analysis.

PubMed

Stronge, Samantha; Sengupta, Nikhil K; Barlow, Fiona Kate; Osborne, Danny; Houkamau, Carla A; Sibley, Chris G

2016-07-01

The aim of the current research is to test predictions derived from the rejection-identification model and research on collective action using cross-sectional (Study 1) and longitudinal (Study 2) methods. Specifically, an integration of these 2 literatures suggests that recognition of discrimination can have simultaneous positive relationships with well-being and engagement in collective action via the formation of a strong ingroup identity. We test these predictions in 2 studies using data from a large national probability sample of Māori (the indigenous peoples of New Zealand), collected as part of the New Zealand Attitudes and Values Study (Ns for Study 1 and 2 were 1,981 and 1,373, respectively). Consistent with the extant research, Study 1 showed that perceived discrimination was directly linked with decreased life satisfaction, but indirectly linked with increased life satisfaction through higher levels of ethnic identification. Perceived discrimination was also directly linked with increased support for Māori rights and indirectly linked with increased support for Māori rights through higher levels of ethnic identification. Study 2 replicated these findings using longitudinal data and identified multiple bidirectional paths between perceived discrimination, ethnic identity, well-being, and support for collective action. These findings replicate and extend the rejection-identification model in a novel cultural context by demonstrating via cross-sectional (Study 1) and longitudinal (Study 2) analyses that the recognition of discrimination can both motivate support for political rights and increase well-being by strengthening ingroup identity. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Software analysis handbook: Software complexity analysis and software reliability estimation and prediction

NASA Technical Reports Server (NTRS)

Lee, Alice T.; Gunn, Todd; Pham, Tuan; Ricaldi, Ron

1994-01-01

This handbook documents the three software analysis processes the Space Station Software Analysis team uses to assess space station software, including their backgrounds, theories, tools, and analysis procedures. Potential applications of these analysis results are also presented. The first section describes how software complexity analysis provides quantitative information on code, such as code structure and risk areas, throughout the software life cycle. Software complexity analysis allows an analyst to understand the software structure, identify critical software components, assess risk areas within a software system, identify testing deficiencies, and recommend program improvements. Performing this type of analysis during the early design phases of software development can positively affect the process, and may prevent later, much larger, difficulties. The second section describes how software reliability estimation and prediction analysis, or software reliability, provides a quantitative means to measure the probability of failure-free operation of a computer program, and describes the two tools used by JSC to determine failure rates and design tradeoffs between reliability, costs, performance, and schedule.

Prediction of trivalent actinide amino(poly)carboxylate complex stability constants using linear free energy relationships with the lanthanide series

DOE Office of Scientific and Technical Information (OSTI.GOV)

Uhnak, Nic E.

Prediction of Trivalent Actinide Amino(poly)carboxylate Complex Stability Constants Using Linear Free Energy Relationships with the Lanthanide Series Alternative title: LFER Based Prediction of An(III) APC Stability Constants There is a gap in the literature regarding the complexation of amino(poly)carboxylate (APC) ligands with trivalent actinides (An(III))). The chemistry of the An(III) is nearly identical to that of the trivalent lanthanides Lns, but the An(III) express a slight enhancement when binding APC ligands. Presented in this report is a simple method of predicting the stability constants of the An(III), Pu, Am, Cm, Bk and Cf by using linear free energy relationships (LFER)more » of the An and the lanthanide (Ln) series for 91 APCs. This method produced An stability constants within uncertainty to available literature values for most ligands.« less

Deconstructing the "Magnetic" Properties of Neoliberal Politics of Education in Bahrain

ERIC Educational Resources Information Center

Hayes, Aneta

2017-01-01

This article makes contributions to questions of why international transfers of programmes do not lead to the outcomes that nations engaging in them expect to gain. Using Bahrain as an example, it is argued that tensions arising from policy borrowing are rooted in the complexities of the political incoherence between the new teaching policies, the…

Climato-economic livability predicts societal collectivism and political autocracy better than parasitic stress does.

PubMed

Van de Vliert, Evert; Postmes, Tom

2012-04-01

A 121-nation study of societal collectivism and a 174-nation study of political autocracy show that parasitic stress does not account for any variation in these components of culture once the interactive impacts of climatic demands and income resources have been accounted for. Climato-economic livability is a viable rival explanation for the reported effects of parasitic stress on culture.

Affect in electoral politics.

PubMed

Glaser, J; Salovey, P

1998-01-01

Recent U.S. history provides vivid illustrations of the importance of politicians' emotional displays in subsequent judgments of them. Yet, a review of empirical research on the role of affect (emotion, mood, and evaluation) in electoral politics reveals little work that has focused on the impact of candidates' emotional expression on voters' preferences for them. A theoretical framework is proposed to identify psychological mechanisms by which a target's displays of emotion influence judgments of that target. Findings from the emerging literature on emotions and politics challenge the traditional assumption of political science that voters make decisions based solely on the cold consideration of nonaffectively charged information. The affect and politics literature, although somewhat unfocused and broad, represents an interdisciplinary domain of study that contributes to the understanding of both electoral politics and social interaction more generally.

A National Study Predicting Licensed Social Workers' Levels of Political Participation: The Role of Resources, Psychological Engagement, and Recruitment Networks

ERIC Educational Resources Information Center

Ritter, Jessica A.

2008-01-01

The social work literature is replete with studies evaluating social workers' direct practice interventions, but strikingly few have assessed how well social workers are faring in the political arena. This study tests a major theoretical model, the civic voluntarism model, developed to explain why some citizens become involved in politics, whereas…

Predictive Models for the Free Energy of Hydrogen Bonded Complexes with Single and Cooperative Hydrogen Bonds.

PubMed

Glavatskikh, Marta; Madzhidov, Timur; Solov'ev, Vitaly; Marcou, Gilles; Horvath, Dragos; Varnek, Alexandre

2016-12-01

In this work, we report QSPR modeling of the free energy ΔG of 1 : 1 hydrogen bond complexes of different H-bond acceptors and donors. The modeling was performed on a large and structurally diverse set of 3373 complexes featuring a single hydrogen bond, for which ΔG was measured at 298 K in CCl 4 . The models were prepared using Support Vector Machine and Multiple Linear Regression, with ISIDA fragment descriptors. The marked atoms strategy was applied at fragmentation stage, in order to capture the location of H-bond donor and acceptor centers. Different strategies of model validation have been suggested, including the targeted omission of individual H-bond acceptors and donors from the training set, in order to check whether the predictive ability of the model is not limited to the interpolation of H-bond strength between two already encountered partners. Successfully cross-validating individual models were combined into a consensus model, and challenged to predict external test sets of 629 and 12 complexes, in which donor and acceptor formed single and cooperative H-bonds, respectively. In all cases, SVM models outperform MLR. The SVM consensus model performs well both in 3-fold cross-validation (RMSE=1.50 kJ/mol), and on the external test sets containing complexes with single (RMSE=3.20 kJ/mol) and cooperative H-bonds (RMSE=1.63 kJ/mol). © 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Validity of the MicroDYN Approach: Complex Problem Solving Predicts School Grades beyond Working Memory Capacity

ERIC Educational Resources Information Center

Schweizer, Fabian; Wustenberg, Sascha; Greiff, Samuel

2013-01-01

This study examines the validity of the complex problem solving (CPS) test MicroDYN by investigating a) the relation between its dimensions--rule identification (exploration strategy), rule knowledge (acquired knowledge), rule application (control performance)--and working memory capacity (WMC), and b) whether CPS predicts school grades in…

Developing a Research Agenda on the Political Economy of Immigrants' Oral Health.

PubMed

Calvasina, Paola; Gastaldo, Denise; Quiñonez, Carlos; Muntaner, Carles

2018-06-01

Acculturation has been widely used in health research to explain oral health disparities between immigrants and their native born counterparts. However, immigrants' oral health studies have not clearly defined the acculturation construct. Also, a narrow focus on cultural oral health behaviours is likely to be inadequate for explaining immigrants' oral health inequities, which are also rooted in societal, political and economic factors produced across the globe. In this brief report, we discuss the use of the acculturation framework in the dental public health literature, note gaps in this approach, and argue for the need to incorporate the political economy lens to help better understand the complexities of immigrants' oral health.

The competing meanings of "biopolitics" in political science. Biological and postmodern approaches to politics.

PubMed

Liesen, Laurette T; Walsh, Mary Barbara

2012-01-01

The term "biopolitics" carries multiple, sometimes competing, meanings in political science. When the term was first used in the United States in the late 1970s, it referred to an emerging subdiscipline that incorporated the theories and data of the life sciences into the study of political behavior and public policy. But by the mid-1990s, biopolitics was adopted by postmodernist scholars at the American Political Science Association's annual meeting who followed Foucault's work in examining the power of the state on individuals. Michel Foucault first used the term biopolitics in the 1970s to denote social and political power over life. Since then, two groups of political scientists have been using this term in very different ways. This paper examines the parallel developments of the term "biopolitics," how two subdisciplines gained (and one lost) control of the term, and what the future holds for its meaning in political science.

Busing in Boston: Political Issues. Comparing Political Experiences, Experimental Edition.

ERIC Educational Resources Information Center

Gillespie, Judith A.; Lazarus, Stuart

Unit two to the second-semester "Comparing Political Experiences" course focuses on a specific controversial political issue: court-ordered busing in Boston. A documentary approach represents the core of instruction in this 12th-grade unit. This approach avoids lengthy narratives of a theoretical approach and yet is more in-depth than…

Emotion Regulation as the Foundation of Political Attitudes: Does Reappraisal Decrease Support for Conservative Policies?

PubMed Central

Lee, Jooa Julia; Sohn, Yunkyu; Fowler, James H.

2013-01-01

Cognitive scientists, behavior geneticists, and political scientists have identified several ways in which emotions influence political attitudes, and psychologists have shown that emotion regulation can have an important causal effect on physiology, cognition, and subjective experience. However, no work to date explores the possibility that emotion regulation may shape political ideology and attitudes toward policies. Here, we conduct four studies that investigate the role of a particular emotion regulation strategy – reappraisal in particular. Two observational studies show that individual differences in emotion regulation styles predict variation in political orientations and support for conservative policies. In the third study, we experimentally induce disgust as the target emotion to be regulated and show that use of reappraisal reduces the experience of disgust, thereby decreasing moral concerns associated with conservatism. In the final experimental study, we show that use of reappraisal successfully attenuates the relationship between trait-level disgust sensitivity and support for conservative policies. Our findings provide the first evidence of a critical link between emotion regulation and political attitudes. PMID:24367583

Feminism and Political Radicalism.

PubMed

Fowler, Marguerite Gilbert; Fowler, Robert L; Van De Riet, Hani

1973-03-01

The political attitudes of 50 feminist women in relation to "feminism" as a dimension were examined and contrasted with those of 50 of their contemporary female peers. They were administered the Attitudes Toward Feminism Belief-Pattern Scale (3), the Conservatism-Radicalism Opinionnaire (4), and a questionnaire providing biographical information and personal opinions regarding various timely political and feminine issues. The feminist women and their peers were found to differ significantly in the attitudinal dimensions of feminism and political conservatism-radicalism. The feminist women manifested more feminism than their peers, as well as being more politically radical. Feminism as a dimension was also found to be positively correlated with political radicalism. Both goups were also compared in their sentiments and opinions on several noteworthy issues; e.g., the potential influence of the women's vote in en- hancing the status of women. Surprisingly, the feminist women and their peers failed to differ on some of the more salient of these. In order to understand and appreciate the feminist personality, the forces potentiating the Women's movement, and the apparent similarities and differences between the feminist women and their peers, the variables of feminism, political conservatism-radicalism, and activism seem to deserve consideration.

Predicting armed conflict: Time to adjust our expectations?

PubMed

Cederman, Lars-Erik; Weidmann, Nils B

2017-02-03

This Essay provides an introduction to the general challenges of predicting political violence, particularly compared with predicting other types of events (such as earthquakes). What is possible? What is less realistic? We aim to debunk myths about predicting violence, as well as to illustrate the substantial progress in this field. Copyright © 2017, American Association for the Advancement of Science.

Understanding Islamist political violence through computational social simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Watkins, Jennifer H; Mackerrow, Edward P; Patelli, Paolo G

Understanding the process that enables political violence is of great value in reducing the future demand for and support of violent opposition groups. Methods are needed that allow alternative scenarios and counterfactuals to be scientifically researched. Computational social simulation shows promise in developing 'computer experiments' that would be unfeasible or unethical in the real world. Additionally, the process of modeling and simulation reveals and challenges assumptions that may not be noted in theories, exposes areas where data is not available, and provides a rigorous, repeatable, and transparent framework for analyzing the complex dynamics of political violence. This paper demonstrates themore » computational modeling process using two simulation techniques: system dynamics and agent-based modeling. The benefits and drawbacks of both techniques are discussed. In developing these social simulations, we discovered that the social science concepts and theories needed to accurately simulate the associated psychological and social phenomena were lacking.« less

Youth, Life, and Politics: Examining the Everyday in Comparative Politics

ERIC Educational Resources Information Center

Ortuoste, Maria

2012-01-01

The traditional way of introducing comparative politics to freshmen, which is through the study of institutions, is contrasted with an alternative approach. An everyday-politics approach compares the daily struggles of global youth--how they cope in times of peace and war, and with issues of wealth and poverty, identity, education and employment,…

Ingroup friendship and political mobilization among the disadvantaged.

PubMed

Sengupta, Nikhil K; Milojev, Petar; Barlow, Fiona K; Sibley, Chris G

2015-07-01

This study investigated the effects of ingroup contact in a large, national sample of Māori (a disadvantaged ethnic group; N = 940) on political attitudes relevant to decreasing ethnic inequality in New Zealand. We tested the role of 2 mediating mechanisms-ethnic identification and system justification-to explain the effects of ingroup contact on the dependent variables. Time spent with ingroup friends predicted increased support for the Māori Party and support for symbolic and resource-specific reparative policies benefiting Māori. These effects were partially mediated by increased ethnic identification. Although ingroup contact also reduced levels of system justification among Māori, its effects on policy attitudes and party preference were not mediated by system justification. This suggests that a key antecedent to system challenging political attitudes is an increased sense of identification with a disadvantaged group resulting, in part, from interactions with ingroup friends. (c) 2015 APA, all rights reserved).

Racial attitudes and visual cues in political judgments: support for Obama during the 2008 presidential election.

PubMed

West, Tessa V; Pearson, Adam R; Dovidio, John F; Johnson, Blair T; Phills, Curtis E

2014-10-01

The present longitudinal study examined the complex role of race-including racial attitudes and visual representations of race-in White Americans' responses to Obama during the 2008 U.S. presidential election. Consistent with prior research, participants who perceived Obama as darker skinned were less likely to vote for him and generally evaluated Obama less positively. It is important to note, however, that these effects were stronger among Whites with more egalitarian expressed racial attitudes. Moreover, this pattern occurred over and above effects of political orientation and remained stable over a 2-month period, including pre- and postelection. Implications of these findings for understanding the complex and persistent influence of race in politics are considered. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

The new urban politics as a politics of carbon control.

PubMed

Jonas, Andrew E G; Gibbs, David; While, Aidan

2011-01-01

The new urban politics (NUP) literature has helped to draw attention to a new generation of entrepreneurial urban regimes involved in the competition to attract investment to cities. Interurban competition often had negative environmental consequences for the urban living place. Yet knowledge of the environment was not very central to understanding the NUP. Entrepreneurial urban regimes today are struggling to deal with climate change and reductions in greenhouse gas emissions. Carbon reduction strategies could have profound implications for interurban competition and the politics of urban development. This paper explores the rise of a distinctive low-carbon urban polity—carbon control—and examines its potential ramifications for a new environmental politics of urban development (NEPUD). The NEPUD signals the growing centrality of carbon control in discourses, strategies and struggles around urban development. Using examples from cities in the US and Europe, the paper examines how these new environmental policy considerations are being mainstreamed in urban development politics. Alongside competitiveness, the management of carbon emissions represents a new yet at the same time contestable mode of calculation in urban governance.

Dark Triad, Perceptions of Organizational Politics and Counterproductive Work Behaviors: The Moderating Effect of Political Skills

PubMed Central

Baloch, Muhammad A.; Meng, Fanchen; Xu, Zefeng; Cepeda-Carrion, Ignacio; Danish; Bari, Muhammad W.

2017-01-01

The aim of this work focuses on the relationship among the Dark Triad (psychopathy, narcissism, and Machiavellianism), perceptions of organizational politics, political skills, and counterproductive work behavior. This study empirically tests the mediating role of perceptions of organizational politics in the relationship between the Dark Triad and counterproductive work behavior. Furthermore, the study investigates the moderating role of political skills in strengthening the link between the Dark Triad and the perceptions of organizational politics. A sample of 149 participants was randomly selected. To analyze the data of the present work, we employed a structural equation model using partial least square and PROCESS. From empirical findings, we imply an inference that perception of organizational politics partially mediates the Dark Triad's influence on the counterproductive work behavior. Moreover, the results identify the moderating role of political skills in strengthening the link between the Dark Triad and the perceptions of organizational politics. Empirical findings suggest important policy implications for the hospitality industry. PMID:29167654

Dark Triad, Perceptions of Organizational Politics and Counterproductive Work Behaviors: The Moderating Effect of Political Skills.

PubMed

Baloch, Muhammad A; Meng, Fanchen; Xu, Zefeng; Cepeda-Carrion, Ignacio; Danish; Bari, Muhammad W

2017-01-01

The aim of this work focuses on the relationship among the Dark Triad (psychopathy, narcissism, and Machiavellianism), perceptions of organizational politics, political skills, and counterproductive work behavior. This study empirically tests the mediating role of perceptions of organizational politics in the relationship between the Dark Triad and counterproductive work behavior. Furthermore, the study investigates the moderating role of political skills in strengthening the link between the Dark Triad and the perceptions of organizational politics. A sample of 149 participants was randomly selected. To analyze the data of the present work, we employed a structural equation model using partial least square and PROCESS. From empirical findings, we imply an inference that perception of organizational politics partially mediates the Dark Triad's influence on the counterproductive work behavior. Moreover, the results identify the moderating role of political skills in strengthening the link between the Dark Triad and the perceptions of organizational politics. Empirical findings suggest important policy implications for the hospitality industry.

Kentucky physicians and politics.

PubMed

VonderHaar, W P; Monnig, W B

1998-09-01

Approximately 19% of Kentucky Physicians are KEMPAC members or contribute to state legislative and Gubernatorial candidates. This limited study of political activity indicates that a small percentage of physicians participate in the political process. Despite the small number of contributors to state legislative candidates, KMA's legislative and lobbying effort is highly effective and members receive high quality service and representation in the political arena.

Recognizing Politics in the Nursery: Early Childhood Education Institutions as Sites of Mundane Politics

ERIC Educational Resources Information Center

Millei, Zsuzsa; Kallio, Kirsi Pauliina

2018-01-01

In his inspirational article titled 'Bringing politics into the nursery', Peter Moss argues for early childhood institutions to "become" places of 'democratic political practice'. In this article, the authors add to Moss's call and argue that these institutions are sites of 'mundane political practice', containing various attitudinal…

Political Subculture: A Resilience Modifier

DTIC Science & Technology

2011-09-01

Department of Defense or the U.S. Government . IRB Protocol number ______N/A_____. 12a. DISTRIBUTION / AVAILABILITY STATEMENT Approved for public release...community with regards to views on government and politics and their role in the society. In seeking to discover whether political subculture affects...community with regards to views on government and politics and their role in the society. In seeking to discover whether political subculture affects

The Impact of Different Complexity on Numerical Weather Predictions within the Coupled Global Online Modeling System

NASA Astrophysics Data System (ADS)

Zhang, L.; Grell, G. A.; McKeen, S. A.; Ahmadov, R.

2017-12-01

The global Flow-following finite-volume Icosahedra Model (FIM), which was developed in the Global Systems Division of NOAA/ESRL and the Finite-volume cubed-sphere dynamical core (FV3) developed by GFDL, have been coupled online with aerosol and gas-phase chemistry schemes (FIM-Chem and FV3-Chem). Within the aerosol and chemistry modules, the models handle wet and dry deposition, chemical reactions, aerosol direct and semi-direct effect, anthropogenic emissions, biogenic emissions, biomass burning, dust and sea-salt emissions. They are able to provide chemical weather predictions at various spatial resolutions and with different levels of complexity. FIM-Chem is also able to quantify the impact of aerosol on numerical weather predictions (NWP). Currently, three different chemical schemes have been coupled with the FIM model. The simplest aerosol modules are from the GOCART model with its simplified parameterization of sulfur/sulfate chemistry. The photochemical gas-phase mechanism RACM was included to determine the impact of additional complexity on the aerosol and gas simulations. We have also implemented a more sophisticated aerosol scheme that includes secondary organic aerosols (SOA) based on the VBS approach. The model performance has been evaluated by comparing with the ATom-1 observations. FIM-Chem is able to reproduce many observed aerosol and gas features very well. A five-day NWP on 120 km horizontal resolution using FIM-Chem has been done for the end of July, 2016 to quantify the impact of the three different chemical schemes on weather forecasts. Compared to a meteorological run that excludes the model chemical schemes, and is driven only by background AODs from the GFS model, the 5-day forecast results shows significant impact on weather predictions when including the prognostic aerosol schemes. This includes convective precipitation, surface temperature, and 700 hPa air temperature. We also use FIM-Chem to investigate the 2012 South American Biomass

School Food Politics: The Complex Ecology of Hunger and Feeding in Schools around the World. Global Studies in Education, Volume 6

ERIC Educational Resources Information Center

Robert, Sarah A., Ed.; Weaver-Hightower, Marcus B., Ed.

2011-01-01

The essays in "School Food Politics" explore the intersections of food and politics on all six of the inhabited continents of the world. Including electoral fights over universally free school meals in Korea, nutritional reforms to school dinners in England and canteens in Australia, teachers' and doctors' work on school feeding in…

The sources of political orientations in post-industrial society: social class and education revisited.

PubMed

Van de Werfhorst, Herman G; de Graaf, Nan Dirk

2004-06-01

This paper studies the impact of social class and education on political orientation. We distinguish the 'old' middle class from a new class of social/cultural specialists. However, the difference in their political orientation may especially be related to the level and field of education; the new middle class is more highly educated and often in fields of study that extensively address social competencies, characteristics independently affecting political outcomes. Analyses on Dutch data showed that education is more important in the prediction of 'cultural' liberal issues than social class. Economically-oriented issues are more strongly affected by social class. This means that interests of the new middle class are served by liberal standpoints relating to a strong government and income redistribution policies, but not relating to cultural issues.

Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations.

PubMed

Dinov, Ivo D; Heavner, Ben; Tang, Ming; Glusman, Gustavo; Chard, Kyle; Darcy, Mike; Madduri, Ravi; Pa, Judy; Spino, Cathie; Kesselman, Carl; Foster, Ian; Deutsch, Eric W; Price, Nathan D; Van Horn, John D; Ames, Joseph; Clark, Kristi; Hood, Leroy; Hampstead, Benjamin M; Dauer, William; Toga, Arthur W

2016-01-01

A unique archive of Big Data on Parkinson's Disease is collected, managed and disseminated by the Parkinson's Progression Markers Initiative (PPMI). The integration of such complex and heterogeneous Big Data from multiple sources offers unparalleled opportunities to study the early stages of prevalent neurodegenerative processes, track their progression and quickly identify the efficacies of alternative treatments. Many previous human and animal studies have examined the relationship of Parkinson's disease (PD) risk to trauma, genetics, environment, co-morbidities, or life style. The defining characteristics of Big Data-large size, incongruency, incompleteness, complexity, multiplicity of scales, and heterogeneity of information-generating sources-all pose challenges to the classical techniques for data management, processing, visualization and interpretation. We propose, implement, test and validate complementary model-based and model-free approaches for PD classification and prediction. To explore PD risk using Big Data methodology, we jointly processed complex PPMI imaging, genetics, clinical and demographic data. Collective representation of the multi-source data facilitates the aggregation and harmonization of complex data elements. This enables joint modeling of the complete data, leading to the development of Big Data analytics, predictive synthesis, and statistical validation. Using heterogeneous PPMI data, we developed a comprehensive protocol for end-to-end data characterization, manipulation, processing, cleaning, analysis and validation. Specifically, we (i) introduce methods for rebalancing imbalanced cohorts, (ii) utilize a wide spectrum of classification methods to generate consistent and powerful phenotypic predictions, and (iii) generate reproducible machine-learning based classification that enables the reporting of model parameters and diagnostic forecasting based on new data. We evaluated several complementary model-based predictive approaches

Conformational analysis of triphenylphosphine ligands in stereogenic monometallic complexes: tools for predicting the preferred configuration of the triphenylphosphine rotor.