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111.
BackgroundPrior researches have implicated a relationship of recidivism with childhood trauma (CT) and emotional intelligence (EI). However, the internal mechanism by which CT and EI influence the recidivism has not been examined.ObjectiveThis study aimed to map the road from CT and EI to recidivism in Chinese male offenders.Participants and settingThree thousand one hundred and eighty-one Chinese adult male offenders participated in this study and completed Childhood Trauma Questionnaire (CTQ) and Wong Law Emotional Intelligence Scale (WLEIS). Recidivism was quantified by the number of convictions according to official records.MethodsAfter controlling for age, education levels, family criminal history, and nature of offence, logistic regression sanalysis was performed to examine the effects of CT and EI on severity of recidivism. Structural Equation Modeling (SEM) was applied to explore the mediation model between CT, EI and recidivism.ResultsLogistic regression model shows a significant effect of CT (OR = 1.008, p < 0.01), rather than EI, on recidivism. SEM supported a full mediating effect of CT in the relationship between EI and severity of recidivism.ConclusionsOur findings suggest that EI has no direct effect on the recidivism, but exerts indirect influence on the recidivism through the mediating role of childhood trauma.  相似文献   
112.
BackgroundEmotional abuse is a form of maltreatment that most strongly predicts adult depressive symptoms in community samples. Introject theories suggest that some depressive symptoms stem from survivors having learned to treat themselves the way they were treated by their perpetrators.ObjectiveMalevolent introjects may undermine self-compassion, which may subsequently maintain feelings of shame. Thus, we hypothesized that self-compassion and shame would mediate the path from retrospective reports of maltreatment to concurrent depressive symptoms in adulthood.Participants and SettingParticipants were 244 adult community members and college students living in a Southwestern American metroplex.MethodWe ran a multiple mediator path model with emotional abuse as the independent variable. We specified four covariates: physical abuse, sexual abuse, physical neglect, and emotional neglect, and held constant the variance they explained in self-compassion, shame, and depression.ResultsOur final model accounted for 53.1% of the variance in adult depressive symptoms. A significant indirect effect from emotional abuse passed through both mediators and ended in adult depressive symptoms. We also found an indirect path from emotional neglect to depression passing through both mediators.ConclusionsIt appears emotional abuse and emotional neglect can undermine the formation of self-compassion. Low self-compassion predicts greater shame and depressive symptoms. Our model suggests self-compassion may be a particularly effective intervention point for survivors of emotional maltreatment.  相似文献   
113.
BackgroundEarly adversity and negative experiences in the adoptive family can put adopted children at risk for emotional and behavior problems.ObjectiveThis study analyzes the influence of children’s preadoptive history and adoptive parents’ characteristics on the psychosocial adjustment of nationally and internationally adopted children in Germany.Participants and settingThe survey included 172 adopted children aged between 24 and 145 months and their adoptive parents.MethodsParents provided information about preadoptive history. Information about emotional and behavior problems was obtained from the parental version of the Strengths and Difficulties Questionnaire (SDQ). Parental well-being was obtained through a composite score of three standardized measures (self-efficacy questionnaire, Perceived Stress Scale PSS-4, Brief Symptom Inventory BSI); parenting behavior was assessed with the Alabama Parenting Questionnaire (DEAPQ).Results12.5% of the adopted children scored in the clinical range of the SDQ. In a multiple regression analysis, the experience of maltreatment and neglect was the most important predictor of emotional and behavior problems at time of assessment, followed by pre- and perinatal risk and parental stress regulation difficulties, = .423, F(4, 128) = 28.539. Increases in the number of risk factors present were associated with a greater odd of children scoring in the clinical range of the SDQ.ConclusionsMost of the nationally and internationally adopted children in this sample were well-adjusted. Prenatal and preadoptive risk as well as stress regulation capacities of the main caregiver contributed to the child’s development. An accumulation of risks increased the likelihood of adjustment problems in adopted children.  相似文献   
114.
多元智能理论突破传统单一的智力概念,强调人的智力由多种智能构成,同时指出每个人都有其优势智能.英语教师要转变传统的学生观、教学观、评价观,为每一个学生的发展创造条件.  相似文献   
115.
情绪智力是在近20多年才出现,它的出现给人们带来了一个问题,那就是情绪智力到底是什么智力,它与传统智力是否有区别。这个问题涉及到什么是传统智力以及与情绪智力有什么不同之处这两个方面,认为情绪智力是传统智力的一个补充,传统智力侧重于语言,逻辑等认知加工,而情绪智力侧重于对情绪性信息的加工,两者之间的联系在于都包含有认知的...  相似文献   
116.
[目的/意义]以大数据和人工智能为代表的智能技术的飞速发展给情报工作带来了巨大的机遇和挑战,需要系统审视情报工作面临的问题和可能的解决方案,为情报工作未来发展提供思路。[方法/过程]结合笔者实际工作经验,通过文献调研,系统分析了未来技术发展趋势及美国相关实践经验,总结提炼情报工作未来发展需要努力的重点方向。[结果/结论]情报工作必须把握时代机遇,面向情报现实需求,从情报理念、基础设施、工程实践、决策支持等方面提升情报工作能力,建立满足情报现时需求、适合时代发展的情报工作体系。  相似文献   
117.
[目的/意义]对大数据环境下国内情报分析研究方法、研究方法对应的研究主题进行归类,归纳其一般特性,对情报分析研究方法未来发展进行展望。[方法/过程]通过对情报分析领域文献中研究方法关键词进行词频统计分析,采用共词分析法、因子分析法、单因素方差分析、聚类分析、多维尺度分析等方法确定情报分析研究方法的分类类别数,归纳出每一类研究方法的特点,对每一类研究方法所对应的研究主题进行梳理。[结果/结论]发现大数据环境下国内情报分析研究方法可以分为7类。从两个不同角度对7类情报分析研究方法进行概括,认为面向全源数据的智能化的情报分析方法是未来的发展方向。与7类情报分析研究方法密切相关的主题分别为颠覆性技术创新、图书馆资源建设、语义计算、风险预测、技术的合作与竞争、系统评价、方法体系构建。  相似文献   
118.
[目的/意义]探讨新技术革命对我国科技情报工作效能的影响,为我国科技情报工作与时代同行共进提供借鉴与参考。[方法/过程]从新技术革命对我国科技情报工作的整体影响出发,分析大数据、人工智能、移动互联网、超级计算等新一代信息技术发展下我国科技情报工作思维、机制、模式等方面可能产生的变革。[结果/结论]大数据改变情报工作思维、人工智能增强情报判断能力、移动互联网创新情报工作模式、传输和计算速度飞跃增进情报与决策联动关系;新技术革命既是一个提升我国科技情报工作"参谋""智囊"形象和地位的良好机遇,又是一次对情报战略预见、决策引领能力的严峻挑战,更是一场情报生产革新之战。  相似文献   
119.
[目的/意义]面向发展情报,未来的情报工作可能面临解决多维目标问题,以及实现每个目标的多重发展路径的选取问题,传统的情报方法在解决多情报并行问题上无法满足大规模人力需求,需要借助人工智能、脑科学、认知技术等手段,通过计算机来计算情报、辅助决策。文章从量化计算对科学研究的重要作用入手,分析计算情报的重要意义。[方法/过程]将计算情报界定为以计算机的"运算能力(大数据)"为经,"计算思维(人工智能)"为纬进行情报的量化分析和判断,针对计算情报面临的挑战与机遇进行了分析;提出实现计算情报的两个前提和一个转化基本思路,两个前提是大数据环境和人工智能技术,一个转化是将情报活动中的过程性的主观决策转化为客观概率上的不确定性,并通过"证据链模型"探索计算情报的实现途径。[结果/结论]认为当前环境下,计算情报是可能实现的。计算情报的实现不仅需要情报与信息技术、人工智能技术融合,还需要应用以数学理论为代表的基础科学理论。  相似文献   
120.
Blockchain technologies have captured the imagination of scholars, managers, and practitioners around the world. It is widely accepted by these actors that blockchain is not a buzzword, but a highly disruptive technology that is already remodeling the organizations and their supply chain business models. Despite the meaningful advance in the last years, blockchain applications regarding the operations and supply chain management (OSCM) are still in their infancy. Little is known about the role of blockchain in terms of operations traceability, as well in areas such as e-commerce, agriculture, public services, etc. Therefore, this Special Issue seeks to extend our understanding of blockchain applications in OSCM and how firms create and capture business value with blockchain. To this effect, this Special Issue will provide a well-articulated and in-depth discussion of the role of blockchain in creating value in the domain of OSCM. Specifically, it is expected that more light is shed on how blockchain integrates with and impacts new business models, transforms relationships, and improves performance and competitive advantage in OSCM. Also, the evolution of blockchain was reviewed in order to provide a strong background to the readers. The literature review was performed taking into account a bibliometric perspective of blockchain-related publications. The review supports the importance of this Special Issue by highlighting the urgent needs of this topic in this reputable journal. Finally, we provide future research directions and a guide for the papers presented in this Special Issue.  相似文献   
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