内涵、贡献与启示:陈嘉庚卫生观的当代解读

陈嘉庚对卫生问题有高度的认识,其卫生观表现在考察祖国的卫生状况、撰写和赠送卫生专论、提出注重卫生的主张建议、以石雕形式宣传卫生知识四个方面.陈嘉庚卫生观增强了祖国民众的卫生健康认识自觉,改善了家乡厦门的医疗卫生条件.陈嘉庚卫生观与当代"健康中国战略"有一定的关联,对于当前我们在国内普及卫生健康知识,在国际上交流卫生建设经验、促进全球人类健康等都有现实启示.     

Design selection for strong orthogonal arrays

Strong orthogonal arrays (SOAs) were recently introduced and studied as a class of space‐filling designs for computer experiments. An important problem that has not been addressed in the literature is that of design selection for such arrays. In this article, we conduct a systematic investigation into this problem, and we focus on the most useful SOA(n,m,4,2 + )s and SOA(n,m,4,2)s. This article first addresses the problem of design selection for SOAs of strength 2+ by examining their three‐dimensional projections. Both theoretical and computational results are presented. When SOAs of strength 2+ do not exist, we formulate a general framework for the selection of SOAs of strength 2 by looking at their two‐dimensional projections. The approach is fruitful, as it is applicable when SOAs of strength 2+ do not exist and it gives rise to them when they do. The Canadian Journal of Statistics 47: 302–314; 2019 © 2019 Statistical Society of Canada     

A primal dual active set with continuation algorithm for high-dimensional nonconvex SICA-penalized regression

The smooth integration of counting and absolute deviation (SICA) penalty has been demonstrated theoretically and practically to be effective in nonconvex penalization for variable selection and parameter estimation. However, solving the nonconvex optimization problem associated with SICA penalty in high-dimensional setting remains to be enriched, mainly due to the singularity at the origin and the nonconvexity of the SICA penalty function. In this paper, we develop a fast primal dual active set (PDAS) with continuation algorithm for solving the nonconvex SICA-penalized least squares in high dimensions. Upon introducing the dual variable, the PDAS algorithm iteratively identify and update the active set in the optimization using both the primal and dual information, and then solve a low-dimensional least square problem on the active set. When combined with a continuation strategy and a high-dimensional Bayesian information criterion (BIC) selector on the tuning parameters, the proposed algorithm is very efficient and accurate. Extensive simulation studies and analysis of a high-dimensional microarray gene expression data are presented to illustrate the performance of the proposed method.     

从《了凡四训》到《训儿俗说》——关于袁了凡及其家风家训的思想史考察

袁了凡（袁黄）以其《了凡四训》闻名于世，该书亦被当作训子家书。其实，了凡所作家训并非《了凡四训》，而是《训儿俗说》。作为王龙溪（王畿）的及门弟子，了凡在思想上是阳明后学的一分子，其人生轨迹属于典型的儒家士大夫，其日常修持及著述呈现三教汇通的思想特色。了凡家风淳朴，家学深厚，以儒为宗，兼收并蓄，强调道德主义，注重积德行善，具有出世情怀，对其人格产生深刻影响。     

A comparative study of confidence intervals to assess biosimilarity from analytical data

Assessment of analytical similarity of tier 1 quality attributes is based on a set of hypotheses that tests the mean difference of reference and test products against a margin adjusted for standard deviation of the reference product. Thus, proper assessment of the biosimilarity hypothesis requires statistical tests that account for the uncertainty associated with the estimations of the mean differences and the standard deviation of the reference product. Recently, a linear reformulation of the biosimilarity hypothesis has been proposed, which facilitates development and implementation of statistical tests. These statistical tests account for the uncertainty in the estimation process of all the unknown parameters. In this paper, we survey methods for constructing confidence intervals for testing the linearized reformulation of the biosimilarity hypothesis and also compare the performance of the methods. We discuss test procedures using confidence intervals to make possible comparison among recently developed methods as well as other previously developed methods that have not been applied for demonstrating analytical similarity. A computer simulation study was conducted to compare the performance of the methods based on the ability to maintain the test size and power, as well as computational complexity. We demonstrate the methods using two example applications. At the end, we make recommendations concerning the use of the methods.     

数据生产要素的结合机制——互补性资产视角

数据作为生产要素创造的价值备受关注,但目前对数据与其他生产要素的结合机制缺乏明确的解释。本文从互补性资产理论出发,分别探讨数据与技术、资本、劳动生产要素的结合机制。研究表明:在与技术要素的结合上,数据要素的加入能够帮助创新企业更有效地使用互补性资产,从而产生技术创新;在与资本要素的结合上,数据要素的加入降低了企业获取作为生产资源和营销资源的互补性资产的成本,从而产生成本创新;在与劳动要素的结合上,数据要素能够从产品设计和生产方面提升互补性资产的生成效率,从而产生流程创新。最终,数据要素在与核心生产要素的有机结合下,极大促进了数字经济的创新与发展。     

电商环境下"通知—删除"运行生态衍变阐释与重构

"通知—删除"系为避免网络服务提供者承担严格责任之立法构建,然其自被引入后即逐渐脱离其原有立法本意,进而被衍变为权利人恶意打击竞争对手、谋求不正当利益的工具,而《电子商务法》新增的"反通知+15日静默期"规定无疑更加剧了这一情形.为避免该规则的误用,对其及时修正实有必要.文章在对"通知—删除"规则与DMCA第512条比对并分析衍变缘由后认为,从长远来看需使"通知—删除"规则回归免责条款,短期则需加紧出台《电子商务法司法解释》,对合格"通知""反通知"形式要件及"恶意""加倍赔偿"进行必要解释,打破电商营运失序格局;与此同时,政府部门、司法机关及电商平台亦需有机协作,共同维护电商运营生态良性发展.     

日语“空间性状”的时间映射制约研究

日语空间性状的时间映射具有局部映射性和选择性，映射具有负向语义选择偏好；形成“水平线性空间>垂直线性空间>立体三维空间”维度制约等级。上述制约特质是时空隐喻概念相似性与语言类型特质共同驱动促成的。概念相似性是其内在驱动力，相似者易于映射，反之则受制约性强；日语的时间性特质是其负向语义选择偏好的外在驱动力。     

全球价值链背景下加工贸易企业升级路径分析

金融危机以来国际贸易保护主义色彩浓郁，中国内部粗放型经济增长方式存在一定的不可持续性和人口红利开始逐渐消失，中国加工贸易嵌入发达国家主导的全球价值链低附加值和低生产率问题引起了学者的注意。随着外部贸易环境、国内新常态要素禀赋结构的变化和深化供给侧结构性改革的需要，推动加工贸易企业升级已经成为中国经济结构调整的一个重要部分。通过分析中国加工贸易的起源、发展和现状，描述全球价值链背景下加工贸易的若干特征和“低端锁定”问题，引出了融资约束对企业经营决策、出口行为以及企业全球价值链上地位的影响，并围绕以生产过程、产品升级和功能升级为主的产业内升级和以劳动密集型向技术密集型转变为特征的产业间升级两个角度，提出了中国加工贸易企业在全球价值链上攀升的路径。研究认为，着重强调人力资本积累、本土企业技术外溢的吸收能力以及自主研发能力的培养，同时结合国际产能合作和“一带一路”倡议等现实背景，实现东西双向开放，塑造以我为主的包容性的区域价值链和国内价值链等，是中国加工贸易企业升级的路径和新机遇。     

规模化生猪养殖污染防治的现状与政策启示——基于养殖户调查数据的实证分析

基于规模化生猪养殖户的问卷调查数据,归纳和界定规模化生猪养殖污染防治行为的内涵,并进一步通过单因素方差分析和交叉分析研究规模化生猪养殖污染防治行为的群体差异。研究发现:规模化生猪养殖的污染防治行为具有多维性且总体实施情况一般;其无害化处理行为的群体差异显著,资源化利用行为的群体差异部分显著。据此,应进一步强化源头治理以提高污染防治的执行能力、加强过程监控以提高污染防治的规范水平、重视末端利用以推进污染防治的综合利用,从而有效改善规模化生猪养殖污染防治政策的实施效果。