浅谈园林绿化养护管理中的监管工作

园林绿化养护管理中的监管工作,是园林绿化工作中的一项重要工作;也是园林绿化景观效果后期养护的关键;更是一个城市突出绿化养护管理水平,打造城市品牌,提高城市绿化文化素质的重要组成部分。     

提高临床检验质量的措施

检验质量的高低直接影响临床工作效率,是检验人员和临床医生都关注的问题。通过选择检验项目、控制检验标本误差、坚持室内质控和室间质评以及正确处理失控情况四个方面的分析阐述了如何提高临床检验质量。     

《生物化学》专业基础平台课程的改革与实践

结合高职食品营养与检测专业的特色和工作岗位需要,对《生物化学》专业基础平台课程进行教学改革和实践,包括建立以学生为主体的教学模式、优化调整教学内容、采用多媒体教学和双语教学形式、开设学生自主实验等,从而激发学生的学习积极性,提高教学质量和教学水平。     

The Partial Credit Model and Generalized Partial Credit Model as Constrained Nominal Response Models,With Applications in Mplus

The purpose of this article is to demonstrate constraining the nominal response model in Mplus software to calibrate data under the partial credit model (PCM) and generalized partial credit model (GPCM). Currently, many researchers are uncertain if the PCM and GPCM can be estimated within Mplus. Through model constraint commands in Mplus, we demonstrate that both models can be estimated in recent versions of this software. We present an example of this approach with data from 522 respondents on a subset of items from the Math Self-Efficacy Scale (Betz & Hackett, 1983). It is demonstrated that the presented model code is a viable way of estimating the models in Mplus.     

多元函数在一元微积分中的一些应用

举例说明了如何把多元函数的一些性质应用于解决一元微积分的问题中.如用多元函数的偏导解决一元隐函数的求导问题,用多元函数的拉格朗日乘数法来求一元函数的极值,用二重积分求平面图形的面积,三重积分求旋转体的体积等等.     

高校纪检监察工作创新推进策略探析

针对推进高校纪检监察工作创新的问题,运用文献研究等方法,探讨了推进高校的纪检监察工作创新策略,发现高校纪检监察工作创新要明确任务和职能,提出坚持围绕中心、服务大局的重要原则,树立以人为本、执政为民的核心理念,以发挥自身职能作用为基本途径,以加强组织协调为重要抓手,以转变工作方式方法为必要手段,以深化改革为强大动力等是推进高校纪检监察工作创新的基本策略。     

对加强工会劳动保护监督检查工作的思考

摘要：劳动保护监督检查工作,是工会的一项重要工作。在重大、特大安全事故时有发生的现实情况下．认真审视和加强这方面的工作,十分必要与紧迫。加强企业工会的劳动保护监督检查工作,必须从这项工作的群众性特点出发,广泛发动并坚定依靠职工群众;必须从监督检查的具体要求出发,通过三个方面的努力,充分行使有关职权;必须从骨干队伍实际情况出发。提高骨干队伍的思想认识和业务素质。     

社会资本对幸福感影响的实证研究——以佛山市顺德区为例

利用顺德地区居民调查数据探讨了社会资本对幸福感的影响。首先运用因子分析法构建了与社会资本相关四类综合变量．然后采用核估计方法分别对四类变量与幸福感之间的线性性关系进行了回归,在此基础上,建立半参数回归模型估计了社会资本与幸福感之间的关系,最后,构建了变系数分位数回归模型讨论了社会资本对不同幸福感群体的影响。结果表明：政治环境、社会关系及能力发挥对幸福感有显著影响：社会关系及能力发挥对不同幸福感群体均有较显著的影响并且影响强度大。     

An NCME Instructional Module on Polytomous Item Response Theory Models

A polytomous item is one for which the responses are scored according to three or more categories. Given the increasing use of polytomous items in assessment practices, item response theory (IRT) models specialized for polytomous items are becoming increasingly common. The purpose of this ITEMS module is to provide an accessible overview of polytomous IRT models. The module presents commonly encountered polytomous IRT models, describes their properties, and contrasts their defining principles and assumptions. After completing this module, the reader should have a sound understating of what a polytomous IRT model is, the manner in which the equations of the models are generated from the model's underlying step functions, how widely used polytomous IRT models differ with respect to their definitional properties, and how to interpret the parameters of polytomous IRT models.     

Towards the successful integration of e-learning systems in higher education in Iraq: A student perspective

This study aims to analyse the factors that can explain the adoption and effective use of a new e-learning system in Iraq. To achieve this, it uses a selection of factors that are present in the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) model, and it includes three additional factors. The study hypothesises new relationships between the selected factors. Questionnaires were distributed to 300 university students in Iraq. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data received. The findings suggest that perceived usefulness (PU), perceived ease of use (PEOU), subjective norms (SNs), information quality (IQ), system quality (SQ), technical support (TS) and self-efficacy (SE) have significant effects on behavioural intention (BI). In turn, BI and TS have significant direct effects on the actual use (AU) of e-learning systems. The factors age, gender and experience significantly moderated some of the relationships in the model. The research has several implications for policy makers, universities and the management of e-learning systems.