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．     

观赏植物矮化培养研究

通过试验筛选出适合万寿菊、满天星快速繁殖的培养基．矮壮素可使满天星和万寿菊丛苗数量减少，植株生长明显受抑制，使其节间缩短，叶片增厚，叶色浓绿．矮壮素还有使万寿菊根系发达粗壮，分支较少的作用．500mg／L的矮壮素比较适宜矮化培养，既达到了矮化的效果又不至于阻碍植株正常生长，且试管苗株形紧凑、美观．     

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.     

低热能面包的研究

本研究设计了低热能面包的综合评分法的评分标准;运用正交试验方法,优选最佳配方方案,研制出低热能面包,论述了制作工艺、流程及配方.