黄冈公铁两用长江大桥维修通道施工

维修通道专为桥梁竣工后接收管养单位而设。本文以黄冈桥维修通道为例,从下部基础到上部主体框架乃至附属,全面地叙述了各部位的施工情况及工序控制要点,为以后类似施工提供一定经验。     

浅谈饭店"环境入世"

环境恶化，生态平衡破坏，使对可持续发展的研究愈来愈重要．通过对饭店经营观念的转变。创建绿色饭店环境成本和效益的分析，提出实现饭店可持续发展的途径．     

n个Schrodinger算子积自伴域

本文讨论了由微分算式l=-d2/dt2 q(t)生成的具有某种边界条件的n个正则Schrodinger算子Li(i=1,…,n)的积Ln…L2L1自伴性问题,证明了积算子Lm…L2L1自伴的充分必要条件为=L*n 1-i(i=1,…,[n 1/2]).     

J14.6tex纯棉精梳纱成纱质量的工艺分析

通过对纯棉J14．6tex精梳纱生产工艺流程的合理设置和工艺参数调整，力求多唛头组织配棉生产：强化质量控制措施，达到降低产品成本提高产品质量的目的，这是提高企业经济效益和社会效益的一个有效办法。     

铅锡合金沉积物的显微组织

将离子浓度比为5∶5的铅锡电沉积分形生长沉积物制备成金相样品，用金相显微镜观察了它们的显微组织。结果表明，在此情况下，铅锡电沉积生成物由两相组成，即铅锡共晶相和铅基固溶相，两相呈交替层状分布。     

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     

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.     

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.