TCP/IP协议与网络故障实战

TCP/IP协议是网络中计算机之间通信的“语言”,TCP/IP协议系统的层次结构和数据传输机制,使之成为Internet上最为实用的协议。在诊断网络故障中,清晰地把握此协议,可使网络故障的诊断与排除变得更加简单。     

溶液法测定极性分子偶极矩的数据处理方法

以Visual Basic6．0语言为工具，采用最小二乘法直线拟合进行数据处理，研制了溶液法测定极性分子偶极矩实验的数据处理软件，能得到科学、正确的数据处理结果并打印出图形，为教师批改实验报告提供可靠的依据。     

液压传动实验测试数据处理方法

讨论了基于插值原理的实验测试数据处理方法,并重点探讨了液压传动实验中数 据处理的计算机应用.     

高职院校大数据技术创新实验室建设与研究

随着大数据技术的落地与发展,各高职院校为适应社会发展需求和企业人才需求,纷纷开设大数据技术与应用专业。在日益完善大数据专业人才培养、课程体系结构和企业岗位需求同时,也更加注重该专业人才培养过程中的实验室建设。文章以作者单位大数据实验室为研究对象,对其整个建设过程加以详细说明,并对今后该创新实验室对专业人才培养、课程体系建设、学生技能竞赛、企业岗位需求和教师科研等方面进行深入研究和探讨,为其专业培养大数据技能型人才提供有力保障。     

试论高校图书馆与院、系资料室的联合建设

高校图书馆与院系资料室各自的特点与优势,继而简述了院系资料室在网络环境下充分利用图书馆技术设备,建立以图书馆为中心的信息网络,实现“馆系共建、共知、共享”的联合建设。     

Modeling Zero-Inflated and Overdispersed Count Data: An Empirical Study of School Suspensions

The purpose of this article is to develop a statistical model that best explains variability in the number of school days suspended. Number of school days suspended is a count variable that may be zero-inflated and overdispersed relative to a Poisson model. Four models were examined: Poisson, negative binomial, Poisson hurdle, and negative binomial hurdle. Additionally, the probability of a student being suspended for at least 1 day was modeled using a binomial logistic regression model. Of the count models considered, the negative binomial hurdle model had the best fit. Modeling the probability of a student being suspended for at least 1 day using a binomial logistic regression model with interactions fit both the training and test data and had adequate fit. Findings here suggest that both the negative binomial hurdle and the binomial logistic regression models should be considered when modeling school suspensions.     

论如何加强高校科研档案的跟踪收集工作

高校科研档案是高校科研活动的真实记录。档案工作者应遵循对历史负责、为现实服务、替未来着想的指导思想，全面加强科研档案的跟踪收集工作，推动高校档案工作全面协调可持续发展。     

PITFALLS AND PROMISES: THE USE OF SECONDARY DATA ANALYSIS IN EDUCATIONAL RESEARCH

ABSTRACT:  This paper considers the use of secondary data analysis in educational research. It addresses some of the promises and potential pitfalls that influence its use and explores a possible role for the secondary analysis of numeric data in the 'new' political arithmetic tradition of social research. Secondary data analysis is a relatively under-used technique in Education and in the social sciences more widely, and it is an approach that is not without its critics. Here we consider two main objections to the use of secondary data: that it is full of errors and that because of the socially constructed nature of social data, simply reducing it to a numeric form cannot fully encapsulate its complexity. However, secondary data also offers numerous methodological, theoretical and pedagogical benefits. Indeed by treating secondary data analysis with appropriate scepticism and respect for its limitations, by demanding that tacit assumptions about the unreliability of secondary data are applied equally to other research methods, and crucially by combining secondary data analysis with small-scale in-depth work, this paper argues for a return to prominence of secondary data analysis in its own right as well as becoming a central component of the new political arithmetic tradition of social research.     

再谈实验数据处理方法的合理选择

实验误差分析是实验教学中的一个重要内容,学生常因不能准确理解测量误差的相关概念和分析方法,而采用了错误的实验数据处理方法。针对这一问题,通过电子自旋共振实验的测量误差分析,简述了直接测量、间接测量及不确定度传递的应用;利用脉冲核磁共振实验的数据分析,说明了曲线拟合与拟合不确定度的使用适应性。两者的物理实验结果表明,实验数据处理不是简单的纯计算问题,而是必须遵从严格误差分析原理的技术方法。     

基于RS232-RS422/485通信接口的远程称重数据采集方法的研究

针对目前我国广泛用于工矿、交通运输等企业作为称重计量设备的电子汽车衡在数据处理等功能上的落后现状,对SCS系列全电子汽车衡显示仪表(XK3122豪华双显示称重仪)的数据通信接口进行测试和分析研究,提出一种基于微机RS232串行通信接口的称重数据采集方法,进一步结合RS422/RS485串行数据通信接口标准与特点实现了远程数据采集并在实际运用中得到验证,具有一定的推广价值.