基于主分量分析和BP神经网络的个人信用评估模型

运用基于主分量分析和神经网络(PCA-NN)的个人信用评估模型以期取得更好的预测分类能力.经实证分析及与SVM方法、线性判别分析、Logistic回归分析、最近邻估计、分类回归树及神经网络等方法的对比,结果表明,该方法有很好的预测效果.     

摆线传动试验中接触温度和摩擦系数的测量

介绍在摆线传动的胶合模拟试验中接触温度和摩擦系数的测量方法,找出了接触温度、摩擦系数随载荷、速度、摩擦表面处理及润滑剂的变化规律。摩擦系数随载荷的增加而降低。采用特制摆线油承载能力的下限与上限分别是50~＃油的2.43～4.25倍;稳定运转时摩擦系数为0.04～0.048略高于50~＃机械油;油温最高时为100℃.试件表面磷化处理,胶合承载能力的上下限较不磷化可分别提高80～180％,摩擦系数由0.035降为0.029,油温最高为70℃.     

体育专业招生中摸高测试评分办法初探

对普通高校体育专业招生中助跑摸高评分办法进行了分析研究，结果表明，该办法存在着不公平和不合理之处，继续沿用此办法，将给中学的运动训练和高校体育专业的教学带来不利影响。为此，提出将按实际摸高的“传统”评分办法改成按净跳高度进行的评分办法。改变后的评分办法，仍保持了原有的特点，能获得实际摸高的数据，又测出了每个人真实的弹跳高度，还能调动个体训练的积极性，从而达到公平竞争，合理评分，择优录取人才的目的。     

Ranking participants in generalized tournaments

Consider the problem of ranking social alternatives based on the number of voters that prefer one alternative to the other. Or consider the problem of ranking chess players by their past performance. A wide variety of ranking methods have been proposed to deal with these problems. Using six independent axioms, we characterize the fair-bets ranking method proposed by Daniels [4] and Moon and Pullman [14].Received: January 2005     

Accuracy of a combined score of zygote and embryo morphology for selecting the best embryos for IVF

Objective： To evaluate the accuracy of a scoring system combining zygote and embryo morphology in predicting the outcome of in vitro fertilization （IVF） treatment. Methods： In a study group, 117 consecutive IVF or intracytoplasmic sperm injection （ICSI） cycles with embryo transfer were carried out and 312 embryos were scored using a combined scoring system （CSS） of zygote and embryo morphology before transplantation. In a control group, a total of 420 IVF or ICSI cycles were carried out and 1176 embryos were scored using a cumulative embryo score （CES）. The effects of the combined scoring system on the embryo implantation rate and pregnancy rate per cycle were analyzed. Results： Using the combined scoring system, the embryo implantation rate （27.6%） and the clinical pregnancy rate （48.7%） were significantly higher than those in the control group （20.8% and 38.6%, respectively）. Also, the implantation rate of embryos scoring ≥70 （38.5%： 82 sacs/213 embryos） was significantly higher （P〈0.001） than that of embryos scoring 〈70 （4%： 4 sacs/99 embryos）. The pregnancy rate of patients with embryos scoring ≥70 using the combined scoring system （66.7%） was significantly higher （P〈0.001） than that of patients with embryos scoring ≥20 using the cumulative embryo score （59.0%）. Conclusion： The results suggest that selecting embryos with a high score （≥70） using the combined scoring system could increase the implantation rate and pregnancy rate, and that using a scoring system combining assessments of human zygotes and pre-implantation embryos might predict IVF outcomes more accurately than using a cumulative embryo score.     

基于Excel和VBA的试卷生成及评分系统

课程考核可以检验学习者的学习水平,检测其对知识或技能的掌握程度,是教学中的一项重要工作。纸质试卷考核需要教师出制试卷、批改试卷、统计分析成绩,对教师来说工作量较大。利用Microsoft Office软件中的Excel组件结合VBA程序设计创建试卷生成及评分系统,具有自动组卷、考试时间设置、评分、分析成绩等功能,可极大提高教师的工作效率。     

Quantum chemical investigation of hydrogen-bond strengths and partition into donor and acceptor contributions

We present a simple increment model for use in the rapid scoring of hydrogen bond strengths employing 15 chemically diverse donor and 28 acceptor terms. The increments cover a large variety of hydrogen bond donor and acceptor groups and are more specific than SYBYL atom types. The increments have been fitted to quantum chemical ab initio interaction energies of 81 small hydrogen‐bonded complexes determined at the level of second‐order Møller‐Plesset perturbation theory (MP2). The complexes have been chosen such as to represent the most important types of donor‐acceptor pairs found in biological systems. Sulphur is found to be a strong hydrogen bond acceptor while its donor capacities are weak. By taking CH acidic H donors into account, a linear correlation between MP2 energies and the increment model with a coefficient of correlation of r² = 0.994 has been accomplished. The transferability of the fitted parameters has been assessed on a second set of complexes including larger molecules of biological relevance. Very good agreement has been achieved for noncyclic hydrogen bonds. Cooperative effects are not accounted for by the current increment model. For this reason, binding energies of strong cyclic hydrogen bonds, as e.g. present in DNA base pairs, are underestimated by about 30–40%. © 2007 Wiley Periodicals, Inc. J Comput Chem, 2007     

Role of binding entropy in the refinement of protein-ligand docking predictions: analysis based on the use of 11 scoring functions

We present results of testing the ability of eleven popular scoring functions to predict native docked positions using a recently developed method (Ruvinsky and Kozintsev, J Comput Chem 2005, 26, 1089) for estimation the entropy contributions of relative motions to protein-ligand binding affinity. The method is based on the integration of the configurational integral over clusters obtained from multiple docked positions. We use a test set of 100 PDB protein-ligand complexes and ensembles of 101 docked positions generated by (Wang et al. J Med Chem 2003, 46, 2287) for each ligand in the test set. To test the suggested method we compared the averaged root-mean square deviations (RMSD) of the top-scored ligand docked positions, accounting and not accounting for entropy contributions, relative to the experimentally determined positions. We demonstrate that the method increases docking accuracy by 10-21% when used in conjunction with the AutoDock scoring function, by 2-25% with G-Score, by 7-41% with D-Score, by 0-8% with LigScore, by 1-6% with PLP, by 0-12% with LUDI, by 2-8% with F-Score, by 7-29% with ChemScore, by 0-9% with X-Score, by 2-19% with PMF, and by 1-7% with DrugScore. We also compared the performance of the suggested method with the method based on ranking by cluster occupancy only. We analyze how the choice of a clustering-RMSD and a low bound of dense clusters impacts on docking accuracy of the scoring methods. We derive optimal intervals of the clustering-RMSD for 11 scoring functions.     

模糊S-P表在学生测验结果评价中的应用

项目质量分析既是试题质量评价的重要组成部分,又是对试题进行修订、筛选、积累或建立题库的必要条件,针对项目难度分析中学生测验结果常用的S-P表方法中0-1记分法的局限性,应用模糊数学中的隶属度进行改进和完善,通过实例分析,结果令人满意,从而进一步拓展了原S-P表的使用范围,对教学质量评价的定量分析,具有较高的实际应用价值。     

Recognizing five molecular ligand-binding sites with similar chemical structure

Accurate identification of ligand-binding sites and discovering the protein–ligand interaction mechanism are important for understanding proteins' functions and designing new drugs. Meanwhile, accurate computational prediction and mechanism research are two grand challenges in proteomics. In this article, ligand-binding residues of five ligands (ATP, ADP, GTP, GDP, and NAD) are predicted as a group, due to their similar chemical structures and close biological function relations. The data set of binding sites by five ligands (ATP, ADP, GTP, GDP, and NAD) are collated from Biolip database. Then, five features, containing increment of diversity value, matrix scoring value, auto-covariance, secondary structure information, and surface accessibility information are used in binding site predictions. The support vector machine (SVM) model is used with the five features to predict ligand-binding sites. Finally, prediction results are tested by fivefold cross validation. Accuracy (Acc) of five ligands (ATP, ADP, GTP, GDP, and NAD) achieves 77.4%, 71.2%, 82.1%, 82.9%, and 85.3%, respectively; and Matthew correlation coefficient (MCC) of the above five ligands achieves 0.549, 0.424, 0.643, 0.659, and 0.702, respectively. The research result shows that for ligands with similar chemical structures, microenvironment of their binding sites and their sensitivities to features are similar, while, differences of their ligand-binding properties exist at the same time. © 2019 Wiley Periodicals, Inc.