Male gender role conflict and willingness to seek counseling: Testing a mediation model on college-aged men.

Men who experience negative consequences of their socialized gender roles--that is, have greater gender role conflict--report less positive attitudes and willingness to seeking counseling. Using structural equation modeling with data from 575 undergraduate men, the authors examined 3 mediators (self-stigma associated with seeking counseling, tendency to disclose distressing information, and attitudes toward seeking counseling) regarding the link between gender role conflict and willingness to seek counseling for psychological and interpersonal concerns. Results indicated that this link was partially mediated by these 3 factors. Men experiencing greater gender role conflict were more likely to self-stigmatize and less likely to self-disclose. High self-stigma and less disclosure then led to less positive attitudes and subsequently to less willingness to seek counseling. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Working models of attachment and reactions to different forms of caregiving from romantic partners.

Inspired by attachment theory, the authors tested a series of theoretically derived predictions about connections between attachment working models (attachment to one's parents assessed by the Adult Attachment Interview; M. Main & R. Goldwyn, 1994) and the effectiveness of specific types of caregiving spontaneously displayed by dating partners during a stressful conflict-resolution discussion. Each partner first completed the Adult Attachment Interview. One week later, each couple was videotaped while they tried to resolve a current problem in their relationship. Trained observers then rated each interaction for the degree to which (a) emotional, instrumental, and physical caregiving behaviors were displayed; (b) care recipients appeared calmed by their partners' caregiving attempts; and (c) each partner appeared distressed during the discussion. Individuals who had more secure representations of their parents were rated as being more calmed if/when their partners provided greater emotional care, especially if they were rated as more distressed. Conversely, individuals who had more insecure (dismissive) representations of their parents reacted more favorably to instrumental caregiving behaviors from their partners, especially if they were more distressed. The broader theoretical implications of these findings are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

一起高阻接地故障的事故分析

分析了一起220kV线路发生A相高阻接地故障,线路保护装置在先收到收讯输入变位信号的情况下,主程序处理数据速度变慢,导致高频保护拒动,并对此提出预防及整改措施。     

高校自主管理权与大学生受教育权的冲突及平衡

阐述了高校自主管理权的内涵，高校行使自主管理权的法律依据、必要性与合理性；大学生受教育权的含义和内容；分析了高校自主管理权与大学生受教育权的冲突原因；指出了平衡高校自主管理权与大学生受教育权的途径．     

论大学生心理冲突及调适

大学生因需要受挫而导致的心理冲突，直接制约和影响着他们的健康发展；心理冲突及调适对促进大学生成长发展具有积极意义；提高大学生心理调适能力，可从情绪调节和环境适应两个层面入手。     

右对齐算法解决IPsec安全策略冲突问题

当前IPsec的策略系统的策略设置方式很可能引起策略冲突。在分析和比较现有策略生成算法的基础上,提出了右对齐策略生成算法,在有效解决策略冲突,获得最少生成策略数的基础上,进一步降低了满足所有需求保护的通信过程所需的策略数。     

高校自主管理权与大学生受教育权的冲突及平衡

阐述了高校自主管理权的内涵,高校行使自主管理权的法律依据、必要性与合理性;大学生受教育权的含义和内容;分析了高校自主管理权与大学生受教育权的冲突原因;指出了平衡高校自主管理权与大学生受教育权的途径.     

黑河水源调配中的Conflict解析法

跨际河流水源在多主体间调配的Conflict问题的协调与消除始终是关系资源合理利用、保护生态平衡的重要课题,以META—game理论为基础的Conflict数理解析方法,研究分析黑河流域水源调配中利益冲突的主体以及水源调配所涉及Conflict问题,利用META-game理论的Conflict数理解析方法,建立典型模型,然后通过模型,借助Conflict数理分析手段,对问题进行安定分析,寻求问题的答案——均衡解。最终提出Conflict问题消除的、能被矛盾各方接受的推荐方案,供决策部门选择。     

Learning communicative actions of conflicting human agents

One of the main problems to be solved while assisting inter-human conflict resolution is how to reuse the previous experience with similar agents. A machine learning technique for handling scenarios of interaction between conflicting human agents is proposed. Scenarios are represented by directed graphs with labelled vertices (for communicative actions) and arcs (for temporal and causal relationships between these actions and their parameters). For illustrative purposes, classification of a scenario is computed by comparing partial matching of its graph with graphs of positive and negative examples. Nearest Neighbour learning is followed by the JSM-based learning which minimised the number of false negatives and takes advantage of a more accurate way of matching sequences of communicative actions. Developed scenario representation and comparative analysis techniques are applied to the classification of textual customer complaints. It is shown that analysing the structure of communicative actions without context information is frequently sufficient to estimate complaint validity. Therefore, being domain-independent, proposed machine learning technique is a good compliment to a wide range of customer relation management applications where formal treatment of inter-human interactions is required in a decision-support mode.