ICU护士第二受害者经历与支持影响因素分析

采用一般资料调查表、不良事特征调查表、组织支持感量表、心理弹性量表和第二受害者经历与支持量表对大连市11所医院428名ICU护士进行调查。结果显示,ICU护士作为第二受害者经历与支持总分为（82.84±13.58）分;岭回归结果显示,是否经历了护理部层面的分析讨论或汇报、情感性支持、工具性支持、自强型是ICU护士第二受害者经历与支持水平的影响因素（β=−3.177～0.587,P＜0.05）,共同解释23.3%的变化。ICU护士发生不良事件后的心理体验情况不容乐观,医院管理者需重视ICU护士的负性情绪,可通过增加组织支持感和提升心理弹性水平以减轻第二受害者的痛苦体验。

     

统计学习与双语认知的关系

统计学习是提取环境输入潜在规则的一种认知机制,其与语言的关联已得到证实。双语认知是学界关注的热点之一。统计学习与双语认知的关系如何?文章先介绍统计学习认知机制及其与语言的关系,然后从“统计学习能力可否预测二语学习表现”、“统计学习训练能否促进二语学习”和“双语经验能否提高统计学习能力”三个维度述评相关文献,并指出未来可从输入特征、个体差异和神经科学角度进一步探讨统计学习与双语认知的关系。     

人工智能辅助的自闭症早期患者的筛查与诊断

自闭症谱系障碍(AutisticSpectrumDisorders,ASD)的症状早在婴幼儿期就会显现,越早发现,越早干预,治疗效果越好。传统自闭症早期筛查与诊断在评估方法、流程上存在局限,无法满足大规模筛查和诊断需求。随着人工智能技术的快速发展,使用智能化方法进行自闭症早期大规模无感筛查与诊断逐渐成为可能。近10年间,国内外对自闭症智能化识别方法的探索在经典任务行为、面部表情和情绪、眼动、脑影像、运动控制和运动模式、多模态6个领域积累了丰富的研究成果。未来研究应围绕构建国内自闭症早期智能医学筛查与诊断体系,开发针对婴幼儿患者的筛查工具,构建融合多模态数据的自闭症婴幼儿智能化识别模型,建立结合脑影像技术的自闭症精细化诊断方法等方面来开展。     

Autonomy,Reciprocity, and Responsibility: Darwall and Levinas on the Second Person

Abstract

Stephen Darwall’s The Second‐Person Standpoint converges with Emmanuel Levinas’s concern about the role of the second‐person relationship in ethics. This paper contrasts their methodologies (regressive analysis of presuppositions versus phenomenology) to explain Darwall’s narrower view of ethical experience in terms of expressed reactive attitudes. It delineates Darwall’s overall justificatory strategy and the centrality of autonomy and reciprocity within it, in contrast to Levinas’s emphasis on the experience of responsibility. Asymmetrical responsibility plays a more foundational role as a critical counterpoint to ‘mean‐spirited’ reciprocity than Darwall’s laudable distinction between accountability and revenge, and responsibility even founds this distinction. The experience of being summoned to asymmetrical responsibility amplifies the meaning of ‘authority’, which is a presupposition for Darwall. Finally, asymmetrical responsibility helps develop decentred reasoning, invites risk beyond the boundaries of reciprocity at moments when autonomy appears endangered, reconciles respect and care at the experiential level, and presses to extend the scope of moral obligation.     

Predicting uptake of a routine cervical smear test: A comparison of the health belief model and the theory of planned behaviour

Abstract

This paper reports on a study carried out to identify predictors of uptake of cervical screening among 142 women (59% response rate) in inner London. Two social cognition models were used: The Health Belief Model (HBM; Becker, 1974) and the Theory of Planned Behaviour (TPB; Ajzen, 1991) and in addition anticipated affect following non-attendance for screening was assessed. The TPB emerged as by far the superior model for predicting screening intentions, explaining 51% of the variance in comparison with only 4% explained by the HBM variables. However, neither model was able to predict a significant amount of variance in uptake of screening three months later. Possible reasons for the poor prediction of this type of behaviour are discussed.     

A survey of smoking status and cancer risk perceptions among participants attending a hospital-based head and neck screening program

Abstract

Screening for head and neck cancer is underutilized. Given that lack of knowledge of the risk factors may partially account for screening underutilization. we surveyed subjective risk and knowledge of risk factors for head and neck cancer among 124 individuals who attended a free. hospital-based head and neck cancer screening. Few participants were current smokers. Most attendees perceived their risk as similar to others of their age and sex. Personal health habits comprised almost all of the risk-decreasing factors, yet less than half of the risk-increasing factors. generated. Personal habits were less frequently endorsed than factors such as pollution and heredity. Those who mentioned a risk behavior, or a family cancer history, reported higher subjective risk. Those who mentioned a personal health habit reported lower subjective risk. Results highlight needed efforts to increase screening among high-risk individuals through targeted education messages.