The Experts below are selected from a list of 51321 Experts worldwide ranked by ideXlab platform
Janice Zeman - One of the best experts on this subject based on the ideXlab platform.
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child regulation of negative emotions and depressive symptoms the moderating role of parental emotion socialization
Journal of Child and Family Studies, 2015Co-Authors: Wesley Sanders, Janice Zeman, Jennifer A Poon, Rachel MillerAbstract:Research indicates that parents’ methods of emotion socialization impact the development of their children’s emotion expressivity, which, in turn, is implicated in the emergence of internalizing symptoms. Relatively little research, however, has examined the emotion socialization behaviors that mothers and fathers use to socialize their children’s emotion regulation with respect to how these behaviors may differentially predict depressive symptoms in their sons and daughters. In the current study, the relations among these three variables were investigated by having mothers and fathers report on their children’s dysregulation and regulation coping of anger and Sadness. Sons and daughters reported on their perceived receipt of parents’ responses to their anger and Sadness expressivity, as well as their own depressive symptoms. Correlational analyses revealed that unsupportive responses to emotional expressivity were related to greater child emotion dysregulation, poorer emotion coping, and depressive symptoms. Moderation analyses revealed that, for both mothers and fathers, at high levels of unsupportive responses to emotions, children were perceived to have more anger dysregulation, less anger coping, less Sadness coping, and more depressive symptoms. Regression analyses indicated that mothers’ unsupportive responses to Sadness and fathers’ unsupportive responses to anger are associated with their children’s depressive symptoms. These findings support the notion that mothers and fathers play unique roles in children’s emotion regulation skills and subsequent risk for depression.
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relations among Sadness regulation peer acceptance and social functioning in early adolescence the role of gender
Social Development, 2011Co-Authors: Carisa Perryparrish, Janice ZemanAbstract:Using a multi-informant approach, this study examined emotion regulation within the social context of White and Black adolescent peer groups by assessing two aspects of Sadness expression management (i.e., inhibition, disinhibition) and their linkages to peer acceptance and social functioning as a function of gender and ethnicity. Seventh- and eighth-grade adolescents (N = 155, 52 percent female, 54.8 percent Black) completed self-reports and peer nominations of Sadness management and sociometric ratings of peer acceptance. Parents rated their child's social competence and social problems. Results revealed specific patterns of Sadness regulation across informants that were associated with social functioning and varied by gender, but not ethnicity. Boys were more likely than girls to minimize Sadness displays; boys who violated this pattern had lower peer acceptance and higher parent-rated social problems. In contrast, although girls were rated as displaying overt Sadness more frequently than boys, this was unrelated to peer acceptance.
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parental socialization of Sadness regulation in middle childhood the role of expectations and gender
Developmental Psychology, 2010Co-Authors: Michael Cassano, Janice ZemanAbstract:The authors of this study investigated mothers' and fathers' socialization of their children's Sadness. The particular focus was an examination of how socialization practices changed when parents' expectancies concerning their child's Sadness management abilities were violated. Methods included an experimental manipulation and direct observation of parent-child interactions in 62 families of White, middle-class children in 3rd and 4th grades. Families were randomly assigned to 1 of 2 conditions. After parents were provided with a description of normative child behavior on a Sadness-induction task, feedback was manipulated such that parents in the control condition were told their child had demonstrated typical regulation while parents in the violated-expectancy condition were informed their child did not manage Sadness as well as peers. The hypothesis that violated expectancies influence socialization processes was supported, with greater evidence emerging for fathers than mothers. In certain circumstances within the violated-expectancy condition, there was more parental similarity in socialization practices than in the control condition. Further, mother-father comparisons indicated differences in socialization as a function of parent and child gender that were generally consistent with gender stereotypes.
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Influence of Gender on Parental Socialization of Children's Sadness Regulation
Social Development, 2007Co-Authors: Michael Cassano, Carisa Perry-parrish, Janice ZemanAbstract:Mothers' (N = 60) and fathers' (N = 53) perceptions of and desire for change in their 6- to 11-year-old daughters' (N = 59) and sons' (N = 54) Sadness regulation behaviors (i.e., inhibition, dysregulation, coping) were examined in addition to parental responses to children's hypothetical Sadness displays. Results of multivariate analyses of variance and regression analyses suggest that parental perceptions of and desired change in children's Sadness behavior differ as a function of parent gender, child gender and child age (younger (grades 1, 2), older (grades 4, 5)), and predict the likelihood of contingent responses to children's Sadness behavior. Overall, fathers reported being likely to respond to Sadness with minimization whereas mothers reported being likely to respond with expressive encouragement and problem-focused strategies. These parent-reported socialization response tendencies, however, were more fully explained by the interaction between perceptions of children's Sadness regulation behaviors and satisfaction with these behaviors. These findings highlight the need to include parent gender and parental cognitions as important variables in emotion socialization research.
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anger and Sadness regulation predictions to internalizing and externalizing symptoms in children
Journal of Clinical Child and Adolescent Psychology, 2002Co-Authors: Janice Zeman, Kimberly Shipman, Cynthia SuvegAbstract:Examined the relation between children's self-reported anger and Sadness regulation and the presence of internalizing and externalizing symptoms. Participants were 121 boys and 106 girls in the fourth and fifth grades who completed the Children's Depression Inventory (CDI), State-Trait Anxiety Inventory for Children (STAIC), Emotion Expression Scale for Children (EESC), and Children's Emotion Management Scales (CSMS, CAMS) and rated each other on aggressive behavior. Results of multiple regression analyses indicated that the inability to identify emotional states, the inhibition of anger, the dysregulation of anger and Sadness, and the constructive coping with anger predicted internalizing symptoms. The dysregulated expression of Sadness and constructive coping with anger were inversely related to externalizing symptoms.
P. Sadayappan - One of the best experts on this subject based on the ideXlab platform.
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A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment
HAL CCSD, 2016Co-Authors: Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamachari, Rastello Fabrice, Pouchet Louis-noël, Harrison, Robert J., P. SadayappanAbstract:International audienceThis paper describes the design and implementation of a layered domain-specific compiler to support MADNESS---Multiresolution ADaptiveNumerical Environment for Scientific Simulation. MADNESS is a high-level software environment for the solution of integral and differential equations in many dimensions, using adaptive and fast harmonic analysis methods with guaranteed precision. MADNESS uses k-d treesto represent spatial functions and implements operators like addition, multiplication, differentiation, and integration on the numerical representation of functions.The MADNESS runtime system provides global namespace support and a task-based execution model including futures. MADNESS is currently deployed on massively parallel supercomputers and has enabled many science advances. Due to the highly irregular and statically unpredictable structure of the k-d trees representing the spatial functions encountered inMADNESS applications, only purely runtime approaches to optimization have previously been implemented in the MADNESS framework.This paper describes a layered domain-specific compiler developed to address some performance bottlenecks in MADNESS. The newly developed static compile-time optimizations, in conjunction with the MADNESS runtime support, enablesignificant performance improvement for the MADNESS framework
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A Domain-Specific Compiler for a Parallel Multiresolution Adaptive Numerical Simulation Environment
SC '16: Proceedings of the International Conference for High Performance Computing Networking Storage and Analysis, 2016Co-Authors: Samyam Rajbhandari, Sriram Krishnamoorthy, Fabrice Rastello, Robert J. Harrison, Louis-noël Pouchet, P. SadayappanAbstract:This paper describes the design and implementation of a layered domain-specific compiler to support MADNESS-Multiresolution ADaptive Numerical Environment for Scientific Simulation. MADNESS is a high-level software environment for the solution of integral and differential equations in many dimensions, using adaptive and fast harmonic analysis methods with guaranteed precision. MADNESS uses k-d trees to represent spatial functions and implements operators like addition, multiplication, differentiation, and integration on the numerical representation of functions. The MADNESS runtime system provides global namespace support and a task-based execution model including futures. MADNESS is currently deployed on massively parallel supercomputers and has enabled many science advances. Due to the highly irregular and statically unpredictable structure of the k-d trees representing the spatial functions encountered in MADNESS applications, only purely runtime approaches to optimization have previously been implemented in the MADNESS framework. This paper describes a layered domain-specific compiler developed to address some performance bottlenecks in MADNESS. The newly developed static compile-time optimizations, in conjunction with the MADNESS runtime support, enable significant performance improvement for the MADNESS framework.
Niklas Ravaja - One of the best experts on this subject based on the ideXlab platform.
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how bodily expressions of emotion after norm violation influence perceivers moral judgments and prevent social exclusion a socio functional approach to nonverbal shame display
PLOS ONE, 2020Co-Authors: Otto Halmesvaara, Ville Johannes Harjunen, Matthias Aulbach, Niklas RavajaAbstract:According to a socio-functional perspective on emotions, displaying shame with averted gaze and a slumped posture following a norm violation signals that the person is ready to conform to the group’s moral standards, which in turn protects the person from social isolation and punishment. Although the assumption is intuitive, direct empirical evidence for it remains surprisingly limited and the mediating social-psychological mechanisms are poorly understood. Therefore, three experimental studies were conducted to investigate the social function of nonverbal displays of shame in the context of everyday norm violations. In Study 1, participants evaluated ten different expressions of emotion in regard to their affective valence, arousal, dominance, as well as social meaning in the context of norm violations. Displays of shame and Sadness were seen as the most similar expressions with respect to the three affective dimensions and were perceived to communicate the perpetrator’s understanding of the group’s moral standards most effectively. In Study 2, participants read vignettes concerning norm violations and afterward saw a photograph of the perpetrator displaying nonverbal shame, Sadness or a neutral expression. Perpetrators’ displays of shame and Sadness increased perceived moral sense and amplified the observers’ willingness to cooperate with the perpetrators. However, neither display weakened the observer’s willingness to punish the perpetrator. In Study 3, the perpetrator was shown to display shame, Sadness, anger or a neutral expression after getting caught at mild or severe norm violation. The results replicated previous findings but revealed also that the social effects of shame and Sadness displays on punitive and cooperative intentions were mediated by different social appraisals. For example, display of shame uniquely reduced punitive intentions by increasing the perpetrator’s perceived moral sense, whereas expressions of both shame and Sadness evoked empathy in the observers, which in turn reduced the punitive intentions. These results give support to the assumption that nonverbal shame displays serve a unique social function in preventing moral punishment and social exclusion. However, this support is only partial as the social functions of displaying shame are largely parallel to those of expressing Sadness in the situation.
Bruno Etain - One of the best experts on this subject based on the ideXlab platform.
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a study in the general population about Sadness to disentangle the continuum from well being to depressive disorders
Journal of Affective Disorders, 2018Co-Authors: Sarah Tebeka, Baptiste Pignon, Ali Amad, Yann Le Strat, Clara Brichantpetitjean, Pierre Thomas, Guillaume Vaiva, Jeanluc Roelandt, Imane Benradia, Bruno EtainAbstract:Abstract Objective Sadness is both a common experience in general population and one of the main criteria of major depressive disorder (MDD). We tested the hypothesis of a depressive continuum using Sadness as an intermediate experience between well-being and disorder. Methods A French cross-sectional Mental Health survey in General Population interviewed 38,694 individuals. We examined prevalences and compared sociodemographic correlates and psychiatric disorders of individuals in 3 independent groups 1) MDD, 2) Sadness without MDD, and 3) controls. Results The prevalence of Sadness was of 29.8% in the whole sample and of 93% in subjects suffering from MDD (n = 4976). The “Sadness” group shared the same sociodemographic patterns as the “MDD” group. All psychiatric disorders assessed (i.e. bipolar disorder, anxiety disorder, alcohol use disorder, psychotic disorder and suicide attempts) were significantly associated with both “Sadness” and “MDD” groups compared to “controls”. Individuals with Sadness, compared to those with MDD, were significantly less likely to meet the criteria for all psychiatric disorders. MDD's sensitivity of Sadness was 94,2%. Limitations Even though we used a quota sampling method, the sample was not strictly representative of the general population. Conclusion Sadness validates the depressive continuum hypothesis, since it is more frequent in the general population than MDD itself and at the same time shares with MDD the same sociodemographic and clinical correlates. A gradual association from controls to MDD was observed for psychiatric comorbidities. Finally, the high sensitivity of Sadness may suggest its use to screen at-risk individuals converting from well-being to full psychiatric disorders.
Samyam Rajbhandari - One of the best experts on this subject based on the ideXlab platform.
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A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment
HAL CCSD, 2016Co-Authors: Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamachari, Rastello Fabrice, Pouchet Louis-noël, Harrison, Robert J., P. SadayappanAbstract:International audienceThis paper describes the design and implementation of a layered domain-specific compiler to support MADNESS---Multiresolution ADaptiveNumerical Environment for Scientific Simulation. MADNESS is a high-level software environment for the solution of integral and differential equations in many dimensions, using adaptive and fast harmonic analysis methods with guaranteed precision. MADNESS uses k-d treesto represent spatial functions and implements operators like addition, multiplication, differentiation, and integration on the numerical representation of functions.The MADNESS runtime system provides global namespace support and a task-based execution model including futures. MADNESS is currently deployed on massively parallel supercomputers and has enabled many science advances. Due to the highly irregular and statically unpredictable structure of the k-d trees representing the spatial functions encountered inMADNESS applications, only purely runtime approaches to optimization have previously been implemented in the MADNESS framework.This paper describes a layered domain-specific compiler developed to address some performance bottlenecks in MADNESS. The newly developed static compile-time optimizations, in conjunction with the MADNESS runtime support, enablesignificant performance improvement for the MADNESS framework
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A Domain-Specific Compiler for a Parallel Multiresolution Adaptive Numerical Simulation Environment
SC '16: Proceedings of the International Conference for High Performance Computing Networking Storage and Analysis, 2016Co-Authors: Samyam Rajbhandari, Sriram Krishnamoorthy, Fabrice Rastello, Robert J. Harrison, Louis-noël Pouchet, P. SadayappanAbstract:This paper describes the design and implementation of a layered domain-specific compiler to support MADNESS-Multiresolution ADaptive Numerical Environment for Scientific Simulation. MADNESS is a high-level software environment for the solution of integral and differential equations in many dimensions, using adaptive and fast harmonic analysis methods with guaranteed precision. MADNESS uses k-d trees to represent spatial functions and implements operators like addition, multiplication, differentiation, and integration on the numerical representation of functions. The MADNESS runtime system provides global namespace support and a task-based execution model including futures. MADNESS is currently deployed on massively parallel supercomputers and has enabled many science advances. Due to the highly irregular and statically unpredictable structure of the k-d trees representing the spatial functions encountered in MADNESS applications, only purely runtime approaches to optimization have previously been implemented in the MADNESS framework. This paper describes a layered domain-specific compiler developed to address some performance bottlenecks in MADNESS. The newly developed static compile-time optimizations, in conjunction with the MADNESS runtime support, enable significant performance improvement for the MADNESS framework.
