零售4.0时代先行发货问题的大数据分析

在零售4.0时代，渠道的多样化不仅丰富了数据源，还能迅速生成大量数据，需要通过分析大数据，为决策提取有意义的信息，通过分析先行发货的重要性，提出了一种基于遗传算法（GA）的优化模型，预测顾客何时购买，然后在顾客线下单前将产品运送到距顾客最近的配送中心，解决先行发货中存在的问题。研究认为，需要先部署云计算来存储所有渠道生成的大数据，再应用基于集群的关联规则挖掘研究顾客的购买行为，根据“如果-那么”预测规则预测未来的采购情况，最后利用修正的遗传算法生成最优的先行发货计划；这种遗传算法考虑了其在运输成本和运输距离之外，还有预测规则的置信度，利用大量的数值实验权衡了先行发货中的不同因素，验证了模型的最优可靠性     

Horwitz's rule, transforming both sides and the design of experiments for mechanistic models

Summary. The paper develops methods for the design of experiments for mechanistic models when the response must be transformed to achieve symmetry and constant variance. The power transformation that is used is partially justified by a rule in analytical chemistry. Because of the nature of the relationship between the response and the mechanistic model, it is necessary to transform both sides of the model. Expressions are given for the parameter sensitivities in the transformed model and examples are given of optimum designs, not only for single-response models, but also for experiments in which multivariate responses are measured and for experiments in which the model is defined by a set of differential equations which cannot be solved analytically. The extension to designs for checking models is discussed.     

“道治文化”说

“道治文化”是指与礼治、法治文化相并列的道家政治文化,是对道家“道法自然”的政治价值观及其清静自治的政治行为方式的新概括;“道治文化”的宗旨是自然主义,其内在的机制是无为和自治,有“依道治国”和“以道治国”两种类型,二者是体与用、“道”与“术”的关系。     

编制管理法制化浅议

编制管理法制化作为行政管理体制改革的重要组成部分,我们必须站在全面落实科学发展观和加快构建社会主义和谐社会的高度,实现机构和编制管理的法定化、科学化、规范化。     

新时代法治信仰建设:价值指向、心理机制与实践路径

法治信仰是现代法律信仰的核心,是对社会主义法治理念的充分信任和法律制度的自觉遵从。习近平法治思想作为我国法治建设的指导思想,为新时代中国特色社会主义法治信仰建设提供了价值指向,要以“五个坚持”为指导,营造有利于法治信仰生成的政治环境。从法治信仰的心理机制来看,人民群众在对法治价值有了初步认可后,便在价值体验的催化下形成法治价值观,继而在科学公正的立法、执法、司法、守法过程中坚定法治信念,实现法治信仰的升华。要引导全体人民拥护法治、做社会主义法治的忠实崇尚者和捍卫者,在立法、执法、司法以及法治宣传等实践中大力推进新时代法治信仰建设。     

中国FDI进入模式的影响因素

本文综合交易费用理论和谈判力量理论分析框架,探讨了FDI进入中国市场模式(合资／独资)的影响因素。应用两分Logit模型进行实证分析,结果显示区位因素、来源地因素、投资项目的经营期限以及投资规模都对FDI进入中国市场模式产生了重要的影响,而产业因素的影响则统计不显著。     

Small area estimation strategies for large population surveys: a comparison of design and model-based methods

Small area estimation (SAE) concerns with how to reliably estimate population quantities of interest when some areas or domains have very limited samples. This is an important issue in large population surveys, because the geographical areas or groups with only small samples or even no samples are often of interest to researchers and policy-makers. For example, large population health surveys, such as Behavioural Risk Factor Surveillance System and Ohio Mecaid Assessment Survey (OMAS), are regularly conducted for monitoring insurance coverage and healthcare utilization. Classic approaches usually provide accurate estimators at the state level or large geographical region level, but they fail to provide reliable estimators for many rural counties where the samples are sparse. Moreover, a systematic evaluation of the performances of the SAE methods in real-world setting is lacking in the literature. In this paper, we propose a Bayesian hierarchical model with constraints on the parameter space and show that it provides superior estimators for county-level adult uninsured rates in Ohio based on the 2012 OMAS data. Furthermore, we perform extensive simulation studies to compare our methods with a collection of common SAE strategies, including direct estimators, synthetic estimators, composite estimators, and Datta GS, Ghosh M, Steorts R, Maples J.'s [Bayesian benchmarking with applications to small area estimation. Test 2011;20(3):574–588] Bayesian hierarchical model-based estimators. To set a fair basis for comparison, we generate our simulation data with characteristics mimicking the real OMAS data, so that neither model-based nor design-based strategies use the true model specification. The estimators based on our proposed model are shown to outperform other estimators for small areas in both simulation study and real data analysis.     

Lurking Behavior in Online Psychosocial Discussion Forums: Theoretical Perspectives and Implications for Practice

Improving outcomes of telebehavioral psychoeducation requires rethinking program design when delivered wholly or partially for self-directed participation. Discussion forum participation often follows the “90-9-1 Rule” where 90% of participants lurk, rather than contribute content. A theoretical perspective on the behavior can help explain its adaptive functions, as well as the threats that this behavior poses to the lurker. Implications for practice require program redesign that actively links individual skills training and group-based discussion. The proposed linking design can synergize individual and group participation to support the development of mutual aid, as well as greater interaction with psychoeducation content and materials.     

户籍类型与城乡居民医疗服务利用 ——基于Andersen模型的经验分析

本文利用中国社会科学院经济研究所2018年城乡居民入户调查数据,从户籍改革角度分析户口类型改变对城乡居民医疗服务利用的影响。研究发现:与户口类型未发生改变的城乡居民相比,户口类型发生过改变(农转非)的城乡居民门急诊服务利用的可能性更高,住院医疗服务支出水平更低。从户籍改革与参保类型交互效应看,相对于户口类型未发生过改变的居民医保参保人群,户口类型发生改变(农转非)会显著提高居民医保参保人群门急诊服务利用,同时降低其住院服务利用。进一步采用PSM方法进行稳健性检验,户籍改革对提高城乡居民门急诊服务利用,降低住院医疗服务利用的结论依然成立。此外,本文还发现,直接结算提高了城乡居民门急诊和住院的就诊概率;健康自评状况越差,门急诊和住院医疗服务利用可能性越高,门急诊医疗支出、住院医疗支出和跨省异地就医支出也越高。本文认为,相对于推行基层分级诊疗制度,以户籍改革推动农村居民自由流入医疗资源更丰富的城镇地区,改革基层卫生院制度,以及改变基层医疗服务提供激励机制,可能更有助于改善农村居民健康状况。     

1977～2009年人口学CSSCI期刊论文作者统计分析

论文是科研人员从事科学研究产生成果的重要表现形式,作者数量和文献数量之间的关系是遵循科学研究发展的客观规律。通过使用文献计量学的方法,对7种人口学CSSCI期刊自创刊起至2009年的全部论文进行分析,主要发现:(1)7种期刊不同论文数量的作者占作者总人数的概率分布都遵循Lotka定律,新老作者结构合理;(2)7种期刊新增量都显著低于理论最佳值,说明学术研究队伍非常稳定,但是活力不足,容易出现作者老化现象。