中庸思想与“无被害人犯罪”刑事立法政策的哲学反思

二战后,受民主主义、自由观念、人权运动和非法律化倾向的影响,非犯罪化运动成为欧美刑事政策与刑法改革运动的重要内容.而首先成为非犯罪化实践对象的就是"无被害人犯罪".     

职业肿瘤医师的大局观

职业肿瘤医师的大局观是职业肿瘤医师在长期的工作中形成的一种全局意识.大局观是区别职业与非职业肿瘤医师的试金石.局部利益服从全局利益是大局观的核心;因时因地、随机应变为大局观的灵魂;相互配合、和谐流畅是大局观的良好验证;自相矛盾、治疗无度是大局观的大忌.大局观的培养要从临床反复的实践中不断学习,总结经验获得.     

Relations between self-serving cognitive distortions and overt vs. covert antisocial behavior in adolescents

The present study addressed the relations between cognitive distortions (inaccurate thoughts, attitudes, or beliefs) and antisocial behavior that is either overt/confrontational (e.g., fighting) or covert/nonconfrontational (e.g., stealing). A controlled analysis of 52 male delinquents and a comparison sample of 51 high school students aged 14–18 years found the delinquents to be higher in both cognitive distortions and self-reported antisocial behavior. Furthermore, cognitive distortion related specifically to overt and covert antisocial behavior in both samples. In particular, cognitive distortion having overt antisocial behavior as its referent (e.g., “People need to be roughed up once in a while”) evidenced a significant path to overt but not covert antisocial behavior. Conversely, covert-referential cognitive distortion (e.g, “If someone is careless enough to lose a wallet, they deserve to have it stolen”) evidenced a significant path to covert but not overt antisocial behavior. The theoretical and treatment implications of the findings are discussed. Aggr. Behav. 24:335–346, 1998. © 1998 Wiley-Liss, Inc.     

Racial Colorblindness and Confidence in and Likelihood of Action to Address Prejudice

In this study, we examined the association between racial colorblindness and inaction to address prejudice. Conceptualized as a type of legitimizing ideology that maintains societal inequality, we hypothesized that colorblindness would be associated with less confidence in and lower likelihood of engaging in action to address prejudice. Our study examined the role of affective variables in explaining the link between colorblindness and inaction, as well as explored potential racial group differences. We used multigroup structural equation modeling analysis to test for measurement and structural invariance of our hypothesized model across White, Asian American, and Underrepresented racial minority (i.e., African American, Latinx American, Hawaiian/Pacific Islander, Native American, and Multiracial students from Underrepresented groups) college students. In Study 1 (n = 1,125), we found that greater colorblindness was indirectly associated with less confidence in action through affective variables (e.g., intergroup empathy, and positive and negative emotions during intergroup interactions). In Study 2 (n = 1,356), we found that greater colorblindness was indirectly related to less likelihood of action through intergroup empathy. In both studies, we demonstrated measurement and structural invariance across racial groups, indicating that our hypothesized model functioned similarly across White, Underrepresented, and Asian American students. Our findings have implications for future research and practice to challenge colorblindness and to promote engagement in actions to reduce prejudice.     

Out of mind,out of sight? Investigating abnormal face scanning in autism spectrum disorder using gaze‐contingent paradigm

Diminished social motivation is hypothesized to explain abnormal face scanning pattern in individuals with autism spectrum disorder (ASD), especially reduced eye‐looking time in ASDs than typically developing (TD) people. Here, we tested an alternative explanation that children with ASD may use a compensatory strategy to avoid direct eye contact by processing the eyes through peripheral vision. We compared the face scanning patterns of children with and without ASD in two conditions: in the clear condition, the face was completely visible; in the blur condition, by using the gaze‐contingent paradigm, the whole face was blurred except for a small region being fixated at, thus children could not rely on the peripheral information to process the eyes. We found that children with ASD fixated less on the eyes than TD children in both conditions. Temporal‐course analyses further revealed the possible motivation‐based guidance of attention to process the eyes in the TD group but not in the ASD group. Additionally, we found that children with ASD scanned faces more randomly and less strategically than TD children. These results have ruled out the alternative hypothesis that the abnormal face scanning pattern in ASDs was due to their compensatory strategy to process eyes through peripheral vision, furthering our understanding of the mechanisms underlying their abnormal face scanning.     

基于脑结构像的精神分裂症机器学习分类

将机器学习应用于精神疾患的临床和基础研究是近年来的趋势。研究者将机器学习应用于精神分裂症患者及高危人群的T1加权像和弥散张量成像的脑影像数据中, 为了解疾病的生理病理学机制提供帮助。回顾以往研究发现额叶及颞叶的脑结构特征具有较高的区分能力, 行为数据和脑影像数据结合的分类效果优于单模态数据。现阶段研究存在样本量不足和泛化能力欠缺的局限, 未来研究应注意扩大样本量、制定标准化的分类方法, 从而进一步探究机器学习在精神疾患中的作用。     

Classifying adults' and children's faces by sex: computational investigations of subcategorical feature encoding

The faces of both adults and children can be classified accurately by sex, even in the absence of sex-stereotyped social cues such as hair and clothing (Wild et al., 2000). Although much is known from psychological and computational studies about the information that supports sex classification for adults' faces, children's faces have been much less studied. The purpose of the present study was to quantify and compare the information available in adults' versus children's faces for sex classification and to test alternative theories of how human observers distinguish male and female faces for these different age groups. We implemented four computational/neural network models of this task that differed in terms of the age categories from which the sex classification features were derived. Two of the four strategies replicated the advantage for classifying adults' faces found in previous work. To determine which of these strategies was a better model of human performance, we compared the performance of the two models with that of human subjects at the level of individual faces. The results suggest that humans judge the sex of adults' and children's faces using feature sets derived from the appropriate face age category, rather than applying features derived from another age category or from a combination of age categories.