有限群中的子群和元素的共轭性质

对有限群的子群和元素的共轭类及共轭关系进行了讨论,从有限群中子群和元素的局部性质出发来描述群的整体结构,研究它们对整个群结构的影响,同时也得到了一些证明的技巧.     

培养高师学生从师素质与能力的新模式构想

从分析高等师范院校的现状和毕业生面临的竞争压力入手,构想培养高等师范院校学生从师素质与能力的新模式.     

基于RL&SM通用夹具系统的主动寻位技术及其实现方法

介绍了RL&SM通用夹具的寻位系统 ,描述了主动寻位与制造信息转换问题 ,提出和实现了相应的控制方法及其系统实现中的关键技术。理论分析与实验结果表明 ,提出的解决方法和技术是可行的 ,为RL&SM通用夹具系统的实际应用奠定了理论基础和技术支持     

科学训练突出技能重视素质培养

通过明确学习目标,激发学习意愿;对钳工实训目标分解,做到心中有数.培养打牢基本技能基础,注重综合操作训练.为适应市场需求,重视素质培养.     

Effects of self evaluation on late ERP components

High-density event-related potentials (ERPs) were measured when participants were required to evaluate oneself, significant others (father and mother) and the most familiar public figures (Lei Feng and Jiang Qing) based on trait adjectives. There were three referential conditions and a non-referential control condition including self-evaluation (SE), significant other-evaluation (SOE), general other-evaluation (GOE), and semantic positivity-evaluation (SPE). The behavioral data showed that RTs to GOE condition were longer than the other three conditions. Scalp ERP analysis revealed that (1) SPE condition elicited a more negative N2 than SE condition, which was associated with inhibition of responses; (2) SE condition elicited a more positive P300 than SPE condition, which was an index of attention to self-relevant stimuli; (3) there was no difference on the amplitude and latency of P300 between SE and SOE conditions, which reflected that the concept of “self” included intimate others (e.g., father and mother) in Chinese culture.     

基于地质灾害的唐山市土地开发利用管理信息系统

灾害的破坏程度不仅取决于地震能量（受控于现代构造应力场的特征），同时也受岩溶塌陷，采空区塌陷等其他灾害的影响，故采用人工神经网络模型评价灾害危险性。借助地理信息系统软件，计算了唐山市各居住小区的建筑密度和建筑容积率，结合灾害危险性评价结果。确定了从防灾角度考虑的土地开发强度评价指标。应用Maplnfo自带二次开发语言MapBasic及Visual Basic进行二次开发，炳述了二次开发的步骤和过程。依据系统评价结果，对唐山市的城市规划布局和土地利用方向提出了几点建议。     

网上学生思想政治工作的特点与实践

调研学生的心理状况,结合网络教育从事辅导员工作的实践,指出适应网络时代教育发展做好学生思想政治工作的根本要求.     

任意方位CT切片的获取方法

基于VTK环境提出了一种获取任意方位CT切片的方法：由CT图像序列重构3-D体数据之后，将3-D体数据插值为各向同性，利用VTK实现了3-D体数据内CT切片的绘制显示，并通过平移、旋转变换实现了体数据内其它方向、位置处CT切片的获取．在VTK中的应用实例表明，该方法获取的切片序列有助于医生对同一组织从多个方位进行观察、诊治，在医疗诊断中具有一定的实用价值．     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

阳高县沼气池建设的实践

从规划、标准、质量、管护、政策扶持和市场运作等方面介绍了阳高县沼气池建设的实践。