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691.
心理战是公安机关实施交通工具查控行动中的常用方法之一。心理战的应用效率在较大程度上影响着一些交通工具查控行动的效率。及时、灵活地掌握交通工具查控行动中战术心理战的应用方法,一旦发生利用交通工具的违法犯罪事件,警察就能迅速解决,能积极、主动、及时地依法予以适度控制,或予以必要的打击,这对提高打击违法犯罪力度,有效地处置突发事件具有突出的实战应用价值。  相似文献   
692.
大学生的心理健康状况关系着未来社会的人文品质,他们的心理特点带有强烈的时代色彩。影响大学生心理健康的因素主要有学习压力、恋爱失败、家庭教育、性格特征、就业问题等,面对这些问题应采取促进大学生心理健康的策略。  相似文献   
693.
行为功能分析是罪犯心理治疗的重要步骤,它的主要理论依据是行为治疗的基本理论假设,即适应性行为和非适应性行为都能够通过学习而获得。通过对罪犯问题行为的情境、动机、发展变化的因素、物理环境等的分析,确定对罪犯进行行为治疗的行为目标,能够达到罪犯心理矫治的目的。  相似文献   
694.
随着高校入学人数的增多,贫困生人数也日益增多,贫困生的心理问题逐渐凸显出来,主要表现为自卑心理、焦虑心理、抑郁心理、依赖心理等。造成高校贫困生心理问题有家庭影响、学习就业压力、学校环境等多种原因,需要通过加强心理健康普及教育、开设心理援助热线、开设个体咨询等措施对他们进行心理疏导,使他们健康、顺利地走向社会。  相似文献   
695.
提高大学生社会能力的重要途径--团体心理辅导   总被引:8,自引:0,他引:8  
社会能力的培养对大学生身心健康和适应将来的社会生活具有重要意义,团体心理辅导以其独特的影响机制特别适合大学生社会能力的培养,并且在实践中探索出了本校课程的团体心理辅导模式,高校可以根据本校课程安排、心理咨询人员及教师状况采取合适的模式对大学生进行社会能力培养。  相似文献   
696.
上海市高校女教授健康状况的调查报告   总被引:7,自引:0,他引:7  
本研究主要以对上海市21所高校千余名具有高级职称男女教师的问卷调查、座谈、深入访谈的资料,对高校女教授健康状况进行多变量统计,分析了社会转型期上海高校女教授身心健康状况、存在的主要问题及相关要素,探讨并提出一些对策建议,以期为她们的身心健康创建良好的职业环境和社会环境。  相似文献   
697.
心理教育课程的理念—基于“文本”的解读   总被引:2,自引:0,他引:2  
心理教育是现代教育的一个新的生长点,心理教育课程则是一种全新的课程形态。从后现代哲学的角度解读,心理教育课程是一种文本,具有开放性、流动性、建构性特色。结构性文本、潜隐性文本、拓展性文本和商定性文本是心理教育文本的四种形态。心理化、生活化、问题化以及螺旋式是心理教育文本编制的四种取向。  相似文献   
698.
The possible tendency of subjects to decrease,hide,or omit symptomatic aspects of their mental functioning is one of the main problems in forensic psychological and psychiatric evaluations.We aimed at verifying the possible existence of significant differences in the Millon Clinical Multiaxial Inventory-Ⅲ(MCMI-Ⅲ)scales scores between a sample of dissimulators(n=40)and their non-dissimulator counterpart matched by age,sex,and diagnosis.Cases and comparisons were retrieved from the archive of a single university forensic psychiatric centre between 2013 and 2022.Results showed statistically significant higher scores in the sample of dissimulators in the Desirability,Histrionic,Narcissistic,and Compulsive MCMI-Ⅲ scales than in the comparison sample.Point biserial correlation test disclosed a strong positive correlation between the Desirability,Histrionic,Narcissistic,and Compulsive scales of the MCMI-Ⅲ and being in the dissimulator group of subjects while a negative correlation emerged for all the other scales except drug dependence.  相似文献   
699.
    
This paper empirically uses a street-level bureaucrat (SLB) lens to compare the impact of personal and organisational support on the innovative behaviour of frontline healthcare workers in Australia and the United States. Survey data came from the 260 U.S. and 220 Australian respondents. The structural equation model shows that organisational (i.e. manager–subordinate relationships) and personal supports (i.e. psychological capital [PsyCap]) significantly influence the innovative behaviour of frontline SLBs in health care. Further, the mediation results show that reciprocal social exchanges provide the foundations for facilitating the growth of healthcare workers’ PsyCap, which then gives them the resilience to be innovative in the workplace. The U.S. respondents perceived stronger organisational support and consequently had a better platform for building PsyCap – providing better work conditions for facilitating innovative behaviour to bourgeon. The paper adds to SLB theory concerning the influence of two variables on SLBs' innovative behaviour, in addition to a meaningful comparison of the U.S. and Australian healthcare workers. If governments and organisations want innovative workers, then the policies must be based on empirical evidence that shows the impact on all stakeholders, including SLBs, because otherwise, irrespective of policy directives, the outcome is low levels of employee wellbeing (which likely results in limited innovative activity).  相似文献   
700.
    
The Virtual Machine Introspection (VMI) has emerged as a fine-grained, out-of-VM security solution that detects malware by introspecting and reconstructing the volatile memory state of the live guest Operating System (OS). Specifically, it functions by the Virtual Machine Monitor (VMM), or hypervisor. The reconstructed semantic details obtained by the VMI are available in a combination of benign and malicious states at the hypervisor. In order to distinguish between these two states, the existing out-of-VM security solutions require extensive manual analysis. In this paper, we propose an advanced VMM-based, guest-assisted Automated Internal-and-External (A-IntExt) introspection system by leveraging VMI, Memory Forensics Analysis (MFA), and machine learning techniques at the hypervisor. Further, we use the VMI-based technique to introspect digital artifacts of the live guest OS to obtain a semantic view of the processes details. We implemented an Intelligent Cross View Analyzer (ICVA) and implanted it into our proposed A-IntExt system, which examines the data supplied by the VMI to detect hidden, dead, and dubious processes, while also predicting early symptoms of malware execution on the introspected guest OS in a timely manner. Machine learning techniques are used to analyze the executables that are mined and extracted using MFA-based techniques and ascertain the malicious executables. The practicality of the A-IntExt system is evaluated by executing large real-world malware and benign executables onto the live guest OSs. The evaluation results achieved 99.55% accuracy and 0.004 False Positive Rate (FPR) on the 10-fold cross-validation to detect unknown malware on the generated dataset. Additionally, the proposed system was validated against other benchmarked malware datasets and the A-IntExt system outperforms the detection of real-world malware at the VMM with performance exceeding 6.3%.  相似文献   
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