高校教育管理人本化的基本内涵和实施方略

高校教育管理要确立以人为本的理念 ,以管理科学理论为基础 ;论述了教育管理人本化的基本内涵和实施方略。     

自我评价在大学英语教学中的应用研究

小组合作学习有利于增强学生的学习兴趣和责任感,是一种有效的课堂教学组织形式。该研究探索小组合作学习中五要素之一的“小组自我学习评价和反馈”在大学英语教学中所起到的作用。实验采用了调查问卷、水平测试等试验工具进行调查和收集数据。结果表明小组合作学习有助于增强学生在语言学习中的元认知意识;其中小组自我评价在增强学生的元认知意识和促进小组活动方面起导航作用;能促使学生更多地参与学习过程,从而提高学生学习语言的效果。     

高校图书馆工作人员素质提高策略初探

现代社会的发展，给高校图书馆带来巨大的压力与挑战。图书馆员的整体素质如何，将关系到图书馆事业的未来发展。高校图书馆应从提高其馆员整体学历水平、建立和完善岗位培训制度、使全体馆员牢固树立终身学习的观念三方面来提高工作人员的整体素质，推动图书事业的持续发展。     

时代的缩影人格的升华——从《阿甘正传》看美国个人价值观

随着政治经济文化的发展，美国个人价值观也产生了一些变化，而《阿甘正传》正是通过塑造一个“平民偶像”——阿甘来见证美国当代社会具有历史意义的大事件，并提出它所倡导的个人性格及奋斗精神。     

关于双语课程《数字电子技术》学习状况的调查与思考

以问卷调查的形式,通过描述性统计和定量分析,对我校双语课程《数字电子技术》学习状况进行了调查和分析,在此基础上,对双语教学提出了一些建议.     

研究性学习中的心理学思想探析

研究性学习视学生为一个完整的人，注重学生个性的培养，重视学生潜能的开发以及整体素质的协调，这其中渗透着激发学生学习动机、使学生达到自我实现等心理学思想．该文对研究性学习的几个特点的心理学思想进行了分析。     

论审美关系的本质

在人与自然构成的多种关系中,审美关系是人与自然之间诸多关系的一种,具体表现为无功利性,形象性,和以情感为中心特征。人的社会实践活动促进了人脑的进化和生理感官的成熟,为审美关系的存在提供了基础。随着社会的不断发展,审美关系也在逐步向前推进。同人与自然的其他关系相比,审美关系具有兼容性、个体独特性和历史性等特征。     

大学生学习焦虑心理研究

通过分析大学生学习焦虑心理的成因以及学习焦虑控制问题。论述了大学生学习焦虑心理与学习成绩的关系。     

Using genetically-defined rodent strains for the identification of hippocampal traits relevant for two-way avoidance behavior: a non-invasive approach

Summary Genetically-defined rodent strains permit the identification of hippocampal traits which are of functional relevance for the performance of two-way avoidance behavior. This is exemplified here by analyzing the relationship between infrapyramidal mossy fibers (a tiny projection terminating upon the basal dendrites of hippocampal pyramidal neurons) and two-way avoidance learning in about 800 animals. The necessary steps include 1) identification of structural traits sensitive to selective breeding for extremes in two-way avoidance, 2) testing the robustness of the associations found by studying individual and genetical correlations between hippocampal traits and behavior, 3) establishing causal relationships by Mendelian crossing of strains with extreme structural traits and studying the behavioral consequences of such structural randomization, 4) confirming causal relationships by manipulating the structural variable in inbred (isogenic) strains, thereby eliminating the possibility of genetic linkage, and 5) ruling out the possibility of spurious associations by studying the correlations between the hippocampal trait and other behaviors known to depend on hippocampal functioning.In comparison with the classical lesion approach for identifying relationships between brain and behavior, the present procedure appears to be superior in two aspects: it is non-invasive, and it focuses automatically on those brain traits which are used by natural selection to shape behaviorally-defined animal populations, i.e., it reveals the natural regulators of behavior.     

Learning attention-based strategies to cooperate for multi-agent path finding

Multi-agent path finding (MAPF) is a challenging multi-agent systems problem where all agents are required to effectively reach their goals concurrently with not colliding with each other and avoiding obstacles. In MAPF, it is a challenge to effectively express the observation of agents, utilize historical information, and effectively communicate with neighbor agents. To tackle these issues, in this work, we proposed a well-designed model that utilizes the local states of nearby agents and outputs an optimal action for each agent to execute. We build the local observation encoder by using residual attention CNN to extract local observations and use the Transformer architecture to build an interaction layer to combine local observations of agents. With the purpose of overcoming the deficiency of success rate, we also designed a new evaluation index, namely extra time rate (ETR). The experimental results show that our model is superior to most previous models in terms of success rate and ETR. In addition, we also completed the ablation study on the model, and the effectiveness of each component of the model was proved.