蒲姑国的族属

根据古籍所记载的蒲姑国和蒲姑部落的名称、地域和史实 ,瑶族民间文献所记载的他们祖先的情况 ,以及苗瑶语和汉语的有关材料 ,作者认为 ,商代的蒲姑部落是瑶族的祖先 ,因此商代的蒲姑国也应该归属于瑶族。     

朝鲜族人口自然增长率下降对发展的影响

本文分析了朝鲜族人口减少的主要原因及负面影响,并提出了解决的对策.     

施肥量与垄作方式对牛蒡子出苗率及苗期生长的影响

从施肥量（高肥、中肥、低肥）、垄作方式（上垄、下垄、下垄覆膜）两因素对牛蒡子的出苗及苗期生长情况做了一些系统观察和分析．结果表明：低肥，上垄有利于出苗，高肥有利于苗期的生长．此研究可为牛蒡子的进一步开发利用及科研提供科学依据．     

Time,Space, Confucianism and Careers: A Contextualized Review of Careers Research in China – Current Knowledge and Future Research Agenda

Career studies attract significant attention, but most of the theories and concepts were developed and tested in Western contexts. Based on a systematic review and analysis of 95 articles published in the field of careers that focus on China in the period between 1991 and 2017, this paper identifies emerging trends and outlines a profile of the current development of careers research in the Chinese context. Using a time and space analytical framework, the review evaluates the theoretical and empirical career lenses embedded in the unique Chinese cultural, institutional and organizational contexts and confirms that research on Chinese careers is significantly underdeveloped. Through a theoretical lens of Confucianism, we propose a need to consider context‐specific factors, in particular time and space, when conducting Chinese careers research, and present implications for future research on careers in China.     

中国上市 ITO 企业经营效率评价及影响因素分析

运用基于规模报酬可变的投入导向的超效率DEA模型,对在沪深两市上市的具有代表性的30家中国ITO企业的经营效率进行实证研究,结果表明中国上市ITO公司整体运营效率不高,且各企业之间存在显著差异性。为分析企业规模、员工素质、研发投入等因素对中国上市ITO企业效率的影响,采用Tobit模型发现企业规模、员工素质、政府支持等因素对企业运营效率有着积极地影响,而研发投入对企业运营效率的影响并不显著。     

3D打印中CAD文件的定性与复制问题研究

3D打印技术的发展使著作权法上的复制变得更为高效便捷,由此产生了一系列亟待梳理和解决的问题。基于3D打印技术原理,可将其分为输入和输出两个环节。在输入环节,对CAD文件的作品类型进行规制,采用视觉标准界定立体作品,并以“美术作品+模型作品”的思路进行综合保护;在输出环节,3D打印属于复制,且可以实现从平面到立体和从立体到立体的复制形态,复制权的控制范围应不限于现行法律所列举的方式。针对3D打印技术在网络传播中的侵权风险,应对合理使用中的私人复制予以限制,灵活运用“三步检验标准”对合理性进行审查。3D打印在著作权法方面并未引发新的法律问题,现行制度已存在包容空间,不必为其特设著作权新规,通过对现有规则的解释和借助已有案例的适用经验便能解决可预见的著作权法争端。     

Inference in Semi‐Parametric Dynamic Models for Repeated Count Data

This paper deals with a longitudinal semi‐parametric regression model in a generalised linear model setup for repeated count data collected from a large number of independent individuals. To accommodate the longitudinal correlations, we consider a dynamic model for repeated counts which has decaying auto‐correlations as the time lag increases between the repeated responses. The semi‐parametric regression function involved in the model contains a specified regression function in some suitable time‐dependent covariates and a non‐parametric function in some other time‐dependent covariates. As far as the inference is concerned, because the non‐parametric function is of secondary interest, we estimate this function consistently using the independence assumption‐based well‐known quasi‐likelihood approach. Next, the proposed longitudinal correlation structure and the estimate of the non‐parametric function are used to develop a semi‐parametric generalised quasi‐likelihood approach for consistent and efficient estimation of the regression effects in the parametric regression function. The finite sample performance of the proposed estimation approach is examined through an intensive simulation study based on both large and small samples. Both balanced and unbalanced cluster sizes are incorporated in the simulation study. The asymptotic performances of the estimators are given. The estimation methodology is illustrated by reanalysing the well‐known health care utilisation data consisting of counts of yearly visits to a physician by 180 individuals for four years and several important primary and secondary covariates.     

新媒体对大学生价值观形成的影响及其引导研究

阐述了在新媒体日益壮大的媒介环境下,虽然新媒体的应用与普及为大学生群体的学习和生活提供了诸多便利,但是其对于大学生群体价值观的构建无疑是把"双刃剑"。在分析新媒体及其媒介传播特征的基础上,结合大学生群体的价值观形成特点以及新媒体对大学生群体价值观教育的影响,提出了高校应该利用新媒体传播优势,对大学生群体主流价值观的构建进行有效的引导。     

Subgroup Analysis with Time‐to‐Event Data Under a Logistic‐Cox Mixture Model

Subgroup detection has received increasing attention recently in different fields such as clinical trials, public management and market segmentation analysis. In these fields, people often face time‐to‐event data, which are commonly subject to right censoring. This paper proposes a semiparametric Logistic‐Cox mixture model for subgroup analysis when the interested outcome is event time with right censoring. The proposed method mainly consists of a likelihood ratio‐based testing procedure for testing the existence of subgroups. The expectation–maximization iteration is applied to improve the testing power, and a model‐based bootstrap approach is developed to implement the testing procedure. When there exist subgroups, one can also use the proposed model to estimate the subgroup effect and construct predictive scores for the subgroup membership. The large sample properties of the proposed method are studied. The finite sample performance of the proposed method is assessed by simulation studies. A real data example is also provided for illustration.     

船舶反弯扭螺旋桨水力特性的数值模拟与分析

运用计算流体力学方法(CFD)对船舶反弯扭螺旋桨的水力特性进行数值模拟计算,获得了螺旋桨的推力系数、扭矩系数及敞水效率等水力特性参数,与试验结果进行了比较,两者吻合良好.模拟计算提供了详细的三维流场分布,可对反弯扭桨叶的工作特性和叶梢涡、尾涡及气蚀的分布状态进行深入的分析.在叶面邻近区域采用层叠式的半结构网格以适应边界层的计算要求,在边界层外的流动区域采用非结构网格,取得了较高的计算精度.