检测陀螺仪转子安装精度的一种新方法

陀螺仪转子的安装精度对其运行的稳定性和精确性有很大的影响。由于要求的安装误差很好，因此，对其误差的测量要求准则。其测量误差应经安装误差小1／10以及上，一般的检测方法很难达到要求，为此介绍了一种新型的光电检测方法，该方法利用狭缝的光学傅立叶变换提取陀螺仪转子的误差信息，采用计算机进行信息处理，从而完成陀螺仪转子的自动检测和分类，该方法也可用于其他一些精密年的自动检测处理。     

试论专业化进程中的我国教师教育

专业化是世界教师教育改革的主要趋势，师范教育改革的核心就是要促进教师专业化。分析我国教师教育和专业化进程中存在的问题，探讨教师教育改革。将有助于提高我国教师的专业化水平。进而全面提高我国教育质量。     

对苯甲酸偶氮基杯〔4〕芳烃衍生物的合成及其光谱性能研究

以 4-氨基苯甲酸为原料经重氮化 -偶联反应合成了 5 ,1 1 ,1 7,2 3 -四 (4 -苯甲酸 )偶氮基 -2 5 ,2 6,2 7,2 8-四羟基杯〔4〕芳烃 ,产物的结构经 IR、NMR和元素分析予以确证 ,在有机介质中研究了它的吸收光谱性能     

荧光光谱法对中药注射液热稳定性的研究

首次采用荧光光谱法对中药注射液热稳定性进行初步探讨.发现在恒温(40℃、80℃)条件下、不同中药注射液随时间变化的荧光强度和荧光光谱图,呈现出规律性的变化.通过对其谱图和荧光强度的分析,能够反映出恒温(40℃、80℃)条件下,随时间变化的荧光光谱的差异,不同温度对谱峰强度的差异性影响及不同注射剂热稳定性变化曲线的差异.找出了不同温度下不同中药注射液荧光强度减弱10%的时间.     

神经网络在电磁场数值问题中的应用

针对目前电磁场数值处理中计算繁杂慢速和耗费资源过多的问题,本文提出了一种基于神经网络小波理论进行计算的新方法。文中着重介绍了利用小波变换神经网络的基本理论,结合电磁场数值计算的基本方法,推导变换进而得到一个通用公式和处理方法。在该方法中,神经网络学习内容少和数据处理简单,因此该方法具有计算速度快,占用资源少的优点,并有用硬件实现的前景。     

中日佛寺建筑与自然关系的比较研究——中国南北朝时期与日本飞鸟时期

比较分析同一时期（中国南北朝时期与日本飞鸟时期）中日两国佛寺建筑与自然的关系，发现虽然两国佛教理念相同，但中国南北朝时期是玄学境界型建筑自然观，而日本飞鸟时期则是神道意识型建筑自然观。中国南北朝时期的佛寺建筑及其自然观是日本飞鸟时期的母体，而日本飞鸟时期则为研究中国南北朝时期的这一关系做旁证。     

不连续二阶周期边值问题的可解性

考察了一类非线性项含有一阶导数的二阶周期边值问题的解的存在性,其中非线性项是Carathèodory函数.通过构造非线性项的高度函数并且利用Leray-Schauder不动点定理建立了两个存在定理.第一个定理表明只要高度函数的积分是适当的,这类问题至少有一个解.第二个定理表明当非线性项在无穷远处增长的极限是一个无界函数时在适当条件下这问题仍可能有一个解.     

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.     

超微粒MnO_2的合成

以MnCl_2和NaOH为原料,采用胶溶法,制备了超微粒MnO_2制得的MnO_2超微粒为非晶态,直径6.0～10.0 nm,呈球状,在有机溶剂中具有良好的分散性和透明性,考察了影响氧化锰溶胶调制的因素,获得了最佳制胶条件,研究了表面活性剂用量与Mn迁移率的关系;通过X-光粉末衍射、红外光谱、热重及差热分析,研究了产品的结构性能。     

Structure of astacin and implications for activation of astacins and zinc-ligation of collagenases.

Astacin, a digestive zinc-endopeptidase from the crayfish Astacus astacus L., is the prototype for the 'astacin family', which includes mammalian metallo-endopeptidases and developmentally regulated proteins of man, fruitfly, frog and sea urchin. Here we report the X-ray crystal structure of astacin, which reveals a deep active-site cleft, with the zinc at its bottom ligated by three histidines, a water molecule and a more remote tyrosine. The third histidine (His 102) forms part of a consensus sequence, shared not only by the members of the astacin family, but also by otherwise sequentially unrelated proteinases, such as vertebrate collagenases. It may therefore represent the elusive 'third' zinc ligand in these enzymes. The amino terminus of astacin is buried forming an internal salt-bridge with Glu 103, adjacent to His 102. Astacin pro-forms extended at the N terminus, as observed for some 'latent' mammalian astacin homologues, did not exhibit this 'active' conformation, indicating an activation mechanism reminiscent of trypsin-like serine proteinases.