锻炼对老年人肺通气功能影响的研究

本文采用电子肺活量计对218名老人进行了肺通气功能的测试。测试结果表明:体育锻炼对老年人肺通气功能有良好影响。本文为老年人肺通气功能的研究、评价及老年人体育运动的研究提供了实验性依据。     

The Pharmacophore Hypothesis of Novel Inhibitors for Aurora A Kinase

A three-dimensional pharmacophore model was developed from a series of inhibitors of Aurora A kinase to discover new potent anti-cancer agents using the HypoGen module in the Catalyst software. The pharmacophore model was developed based on the structure of 20 currently available inhibitors, which were carefully selected from the literature. The best hypothesis （Hypo 1） was defined by four features： one hydrogen-bond donor and three hy- drophobic points, with the best correlation coefficient of 0.909, the lowest rms deviation of 1.563, and the highest cost difference of 99.075. The Hypo 1 was then validated by a test set consisting of 24 compounds and by a cross-validation of 95% confidence level through randomizing the data using the CatScramble program, which suggested that a predictive pharmacophore model had been successfully obtained.     

基于国际化产科教融合实训平台的教学模式改革与实践

在分析当前省属工科院校教育以能力为导向培养目标完成实施过程中遇到国际化困难问题的基础上，以青岛大学材料学科为例，提出了基于国际化产科教融合实训平台的教学模式改革举措，并经过实践验证证实其切实可行。包括：充分整合校内外材料学科整体资源，建立了国际化的产科教深度融合实训平台，构建了高效的国际化产科教深度融合协同育人实训平台动态管理运行机制；以实训平台为依托实现师资队伍、教学内容、教学模式、科研等全方位的国际化改革；基于国际化产教研融合实训平台的教学模式改革的实践收到显著成效，对全国省属高等院校理工学科专业建设国际化改革的推广有较好的示范作用。     

“新文科”建设背景下经济学人才培养的路径研究

“新文科”建设是新时代对人文社会科学教育提出的新要求。如何在“新文科”理念下培养经济学人才,是中国经济学建设的一个重要课题。首先,从时代性、战略性、创新性、交融性和发展性5个特征维度阐释“新文科”建设的内涵;其次,探讨“新文科”建设背景下经济学人才培养存在的主要问题;最后,提出经济学人才培养需要持续优化经济学专业培养目标和培养方案;加强经济学的课程思政教育,推动济学与其他学科的交叉融合,推动经济学人才培养模式创新以及培养学生解决问题的能力等路径。研究结果可为培养适应新时代发展的经济学人才提供理论参考。     

高师地理系教学改革探讨

本文确认学校中的基本矛盾是教育对象和对他们的培养目标之间的矛盾,分析矛盾双方在现阶段的特征,结合地理学的科学体系与发展趋势,提出了在高师地理系实行“3+1”学制改革的设想.分析了实施这一学制改革构想的可能性与面临的主要困难.     

现代短跑技术教学与训练改革研究

研究将现代短跑技术理论应用于教学与训练实践的途径．提出并论述了“从腰发力,以髋带腿;快速高摆,积极扒地;步长适宜,加快频率”的技术要求,以及由“完整技术、变形技术、跑的专门练习和技术基础身体练习”４个层次组成的现代短跑技术训练内容体系．     

我国优秀女排运动员弹跳力发展及其训练的分析研究

本文通过对我国优秀女排运动员及其后备人材不同年龄阶段弹跳力素质发展的分析研究,探讨女排运动员弹跳力素质发展变化的规律,及其不同年龄阶段主要训练手段的选择．为女排运动员科学选材、科学训练、制定多年训练计划等方面提供理论依据．     

新工科视阈下石油化工类高校应用化学专业课程体系重构

Taking a typical local and industry-orientated applied chemistry major as an example with focusing on the major changes in the form and content of the petrochemical industry, the way to reform the core curriculum system and teaching contents is presented. Based on the changing tendency of refinement of the petrochemical industry, a complete curriculum system with distinctive industry characteristics is set up according to the principles of the emerging engineering education (3E) with several reasonable suggestions. A new model for the construction of a 3E major in chemistry-related majors is suggested. It is a good reference for the construction of curriculum systems for other local and industry-orientated colleges who want to make 3E reform.     

Improving (Q)SAR predictions by examining bias in the selection of compounds for experimental testing

ABSTRACT

Existing data on structures and biological activities are limited and distributed unevenly across distinct molecular targets and chemical compounds. The question arises if these data represent an unbiased sample of the general population of chemical-biological interactions. To answer this question, we analyzed ChEMBL data for 87,583 molecules tested against 919 protein targets using supervised and unsupervised approaches. Hierarchical clustering of the Murcko frameworks generated using Chemistry Development Toolkit showed that the available data form a big diffuse cloud without apparent structure. In contrast hereto, PASS-based classifiers allowed prediction whether the compound had been tested against the particular molecular target, despite whether it was active or not. Thus, one may conclude that the selection of chemical compounds for testing against specific targets is biased, probably due to the influence of prior knowledge. We assessed the possibility to improve (Q)SAR predictions using this fact: PASS prediction of the interaction with the particular target for compounds predicted as tested against the target has significantly higher accuracy than for those predicted as untested (average ROC AUC are about 0.87 and 0.75, respectively). Thus, considering the existing bias in the data of the training set may increase the performance of virtual screening.