Individual differences in harm-related moral values are associated with functional integration of large-scale brain networks of emotional regulation

Emotions affects moral judgements, and controlled cognitive processes regulate those emotional responses during moral decision making. However, the neurobiological basis of this interaction is unclear. We used a graph theory measurement called participation coefficient (‘PC’) to quantify the resting-state functional connectivity within and between four meta-analytic groupings (MAGs) associated with emotion generation and regulation, to test whether that measurement predicts individual differences in moral foundations-based values. We found that the PC of one of the MAGs (MAG2) was positively correlated with one of the five recognized moral foundations–the one based on harm avoidance. We also found that increased inter-module connectivity between the ventromedial prefrontal cortex, dorsolateral prefrontal cortex and middle temporal gyrus with other nodes in the four MAGs was likewise associated with higher endorsement of the Harm foundation. These results suggest that individuals' sensitivity to harm is associated with functional integration of large-scale brain networks of emotional regulation. These findings add to our knowledge of how individual variations in our moral values could be reflected by intrinsic brain network organization and deepen our understanding of the relationship between emotion and cognition during evaluations of moral values.     

Observations of families in structured interactions: Parenting therapists provide reliable ratings of mothers' parenting

The reliability of observations of parenting by parenting therapists was assessed. An important predictor of externalizing behavior in children is quality of parenting. Data were videotapes of structured interactions in families with a child age 8–12 years referred to the evidence based Parent Management Training Oregon (PMTO) treatment program for child behavior problems. The therapists had clinical PMTO training but no training in systematic observation. PMTO observational coders with specific coder training were included as a reference for the therapists. Five therapists and two coders observed videotapes of 10 families and performed global evaluations of mothers' parenting skills. They used the coder's impression measure used in PMTO research. Scores were analyzed in a generalizability theory framework for the two groups of observers separately. Both observer types reliably rank‐ordered the mothers and assessed the level of parenting skills. PMTO therapists without coder training provided reliable ratings of parenting constructs relevant to the clinical PMTO program in a manner comparable to that of the trained reference coders.     

预测视角下双因子模型与高阶因子模型的一般性模拟比较

高阶因子模型本质上是一种特殊的双因子模型, 应用中却常被当做双因子模型的竞争模型。已有研究以满足比例约束的双因子模型(此时等价于一个高阶因子模型)为真实测量模型产生模拟数据, 比较了用双因子模型和高阶因子模型作为测量模型的预测效果。本文使用不满足比例约束的双因子模型(此时不与任何高阶因子模型等价)为真实测量模型产生模拟数据进行比较, 所得结果与满足比例约束的双因子模型的结果有很大差别, 双因子模型结构系数的相对偏差较小、检验力较高, 但第Ⅰ类错误率略高。结论是, 在比例约束条件成立时可以使用高阶因子模型, 否则, 从统计角度看, 一般情况下使用双因子模型进行预测比较好。     

Speech stress recognition using semi-eager learning

Homo-sapiens suffer from psychogenic pain due to current day lifestyle. According to psychologists, stress is the most destructive form of psychalgia and it is a vicious companion for this species. Immoderate levels of stress may lead to the death of many individuals. Normally, the presence of stress gives rise to certain emotions which can be detected to predict stress levels of a person. This paper proposes the development of mechanized and efficient Speech Emotion Recognition (SER) for stress level analysis. The paper investigates the performance of perceptual based speech features like Revised Perceptual Linear Prediction Coefficients, Bark Frequency Cepstral Coefficients, Perceptual Linear Predictive Cepstrum, Gammatone Frequency Cepstral coefficient, Mel Frequency Cepstral Coefficient, Gammatone Wavelet Cepstral Coefficient and Inverted Mel Frequency Cepstral Coefficients on SER. The novelty of this work involves application of a SemiEager (SemiE) learning algorithm for evaluating auditory cues. SemiE offers advantages over eager and lazy based learning by reducing the computational cost. Stress level recognition being the main objective, the Speech Under Simulated and Actual Stress (SUSAS) benchmark database is used for performance analysis. A comparative analysis is presented to demonstrate the improvement in the SED performance. An overall accuracy of 90.66% recognition of stress related emotions is achieved.     

2001年～2010年新疆13个地州市卫生资源配置公平性分析

基于洛伦兹曲线和基尼系数视角,对2001年～2010年新疆13个地州市卫生资源配置公平性进行分析,发现新疆13个地州市卫生技术人员和医生的配置大多数年份处于不公平状态,而病床的配置大多数年份处于比较公平状态,建议从卫生投入、政策倾斜及卫生人员培训等角度协调新疆卫生资源的配置.     

概化理论在内科学临床技能考核中的应用研究

运用多元概化理论对两届临床医学硕士研究生内科临床实践能力考核进行评价比较。结果表明,两届研究生内科临床实践能力考核的信度均较高,可靠性指数分别为0.78878、0.67985,考核内容较全面。比较发现,01级学生考核的信度要高于02级,考核专家以3-5位为宜。     

急性心肌梗死患者小动脉弹性指数水平与各项危险因素的关系

探讨急性心肌梗死（AMI）患者小动脉弹性指数（C2）水平与各项风险因素的关系。纳入我院心血管内科于2010年1月～2013年7月间收治的AMI患者,并纳入同期入院的不稳定心绞痛（UA）患者作为对照组,收集相关临床资料,比较不同C2水平与相关指标的关联性发现：C2等11项危险因素存在显著差异,经多因素Logistic回归...     

基于组织的自尊的情境化与适用性

基于组织的自尊(OBSE)是组织情境下个人对自身能力和价值的评价, 对员工的工作态度、行为和绩效有重要的影响。在回顾最近研究的基础上, 总结了基于组织的自尊的情境化测量与结构。在整合现有相关研究和理论的基础上, 构建了基于组织的自尊情境化研究的法理性框架。针对国内外基于组织的自尊研究的差异, 结合中国情境的特殊性, 对“基于组织的自尊”概念在中国情境下语义差异、语义等值和情境适用性进行了讨论。最后, 对基于组织的自尊未来的情境化研究以及在中国情境下的发展进行了展望。     

Effect sizes in ANCOVA and difference-in-differences designs

It is common practice in both randomized and quasi-experiments to adjust for baseline characteristics when estimating the average effect of an intervention. The inclusion of a pre-test, for example, can reduce both the standard error of this estimate and—in non-randomized designs—its bias. At the same time, it is also standard to report the effect of an intervention in standardized effect size units, thereby making it comparable to other interventions and studies. Curiously, the estimation of this effect size, including covariate adjustment, has received little attention. In this article, we provide a framework for defining effect sizes in designs with a pre-test (e.g., difference-in-differences and analysis of covariance) and propose estimators of those effect sizes. The estimators and approximations to their sampling distributions are evaluated using a simulation study and then demonstrated using an example from published data.