Photosensitized splitting of cis-syn 1,3-dimethyluracil dimer by tryptophan and its peptides

Photosensitized splitting of cis-syn 1,3-dimethyluracil dimer by tryptophan (Trp) and its peptides (Trp-Tyr and Trp-Phe) is studied by fluorescence quenching experiments and irradiation experiments.It reveals that 1,3-dimethyluracil dimer is mainly split by e?-?aq resulting from two-photon ionization of Trp and its peptides under irradiation with light (λ>290 nm).Moreover,the excited singlet state of Trp and its peptides can transfer an electron to the dimer,which splits and gives two pyrimidines.In addition,because of its lower oxidative potential,the excited triplet state of Trp-Tyr can also split the dimer via transfering an electron to the dimer.     

多波长数据线性回归光度法同时测定钙和镁

本文研究了酸性铬蓝K体系用于同时测定钙和慎的显色条件，借助多波长线性回归法处理数据，提出光度测定钙和镁的简便方法，免去了分离手续。应用于三个水样中钙、镁含量的测定，结果满意。     

高师田径教学存在的问题与改革对策

以中小学体育与健康课程的变革为依托 ,阐述了目前高师田径教学存在的问题 ,并提出了一些相应的改革对策     

哈代诗歌中人与自然合二为一的艺术表现形式

英国诗人哈代在其诗歌中用细腻温婉的笔触描绘了尘世中的种种真情 ,表现出对大自然的无限敬意 ;人与自然融为一体成为其诗歌的精神支柱和情感升华的象征。     

Banach空间n阶非线性积分-微分方程初值问题解的存在性

用Tonelli方法研究了Banach空间中n阶非线性积分—微分方程初值问题，在非线性增长条件下，获得了初值问题解的存在性及其Tonelli迭代逼近。     

中学化学教学中新课导入法的探讨

本文从新课导入法的要求、功能、方法三个方面对新课导入在中学化学教学中的应用进行了研究,并结合事例对新课导入的方法加以深入、具体的阐述。     

浅谈预算编制改革与预算执行改革

针对传统预算编制方法与预算执行机制中存在的突出问题,浅谈如何同步推进预算编制改革与预算执行改革。     

素质教育在剑桥商务英语教学中的应用

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高等院校教材管理信息系统的分析与设计实现

主要论述了我们为高等院校教材管理所开发的一套计算机管理信息系统的设计思想与实现方法,由于本系统具有使用方便、操作简单,安全稳定,工作流程清晰合理,并与用户熟悉的工作方式相一致,用户无需专业培训即可使用该系统进行工作等特点,因此,深受用户的欢迎。     

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.