数字经济条件下电商平台责任认定难题和治理出路

在我国大力发展数字经济的时代背景下,电商平台具有独特的法律地位,在为平台内经营者与消费者之间搭建交易平台时,其凭借与二者间形成的平台服务关系,间接地对交易关系发挥着实质影响,成为隔离买卖双方的信息要素持有者。在消费者权益保护方面,我国立法虽然严格地规定了电商平台的过错责任和连带责任,但在因平台消费引发的民事案件中,极少出现判令由平台向消费者担责的判例。细究判理,虽然立法上有较为全面的责任设计,但与个案层面人民法院需要遵循的追责逻辑并不契合,立法规定的电商平台责任面临着严重的实施困境。从实践情况看,困境集中表现为:在认定平台存在主观明知时缺乏裁判标准,在确认违法经营行为出现后电商平台所采取的措施是否具有必要性时缺乏明确的程度衡量规范,导致消费者因举证不力而败诉。根本上讲,原因在于相关立法仍秉承电商平台是交易辅助人的传统思维。这与其在数字经济凭借技术优势对买卖双方享有的强势地位并不相符,故而应当基于数字经济区别于传统经济的特征,构建涉电商平台纠纷的数字经济责任模式;在价值理念上纠正商品服务关系中认定电商平台的误区,回到平台与用户的数字信息服务关系上,明确其应当负有的法律责任,促进平台与政府、用户、社会主体共同打造数字经济秩序的治理合作关系。     

从中西方传统建筑入口比较中谈文化融合设计

随着经济全球化发展,文化的交流日益频繁,文化的多样性与创新的需求使人们接受了文化融合设计.该文从入口空间的角度阐释了中西方建筑入口的发展演变,运用比较的方法分析和总结了中西方传统建筑入口空间的差异,从中借鉴其设计精髓和文化,以便探索现代入口空间的中西方文化融合设计方法.希望该文的论述能有助于我国入口空间设计的发展.     

西方儿童虐待成因的发展生态模型理论研究述评

发展生态模型是西方儿童虐待成因研究的重要理论框架,但国内对此缺少系统性介绍。该理论认为,儿童虐待产生自互动个体与嵌套生态系统层面间的交互影响,它主要以生态系统理论为理论基础,并以“生态整合模型”和“生态交互模型”为代表性理论模型。该理论具有重要的方法论意义,它可促使研究者突破单因素变量研究的窠臼,并转向多因素共构视角去理解儿童虐待成因;同时,也为儿童虐待治理实践提供了多因素和多层次的系统干预视角。该理论的出现丰富了儿童虐待研究者的理论想象力,可为我国家庭、学校等场域的儿童虐待和儿童保护研究和干预提供启示。     

理性与非理性之辨：网络集群行为的产生及其演变

以南京大学小百合BBS使用者对"汉口路西延工程"的参与讨论为个案,通过对参与者的问卷调查分析及网上讨论的跟踪观察,发现发生在网络中的集群行为在初期存在着非理性的表现,并占据着讨论的主流,而理性观点则被淹没在讨论声中.但随着事件的发展及讨论的深入,客观、理性的声音逐步增强,并与非理性开始了交锋,影响着参与者的表达.在交锋中理性逐步占据主流,并最终实现了回归,引导着参与者做深入的思考.文章最后提出时这种理性的回归的思考:这种回归是否是真正意义上的回归,一个与此事件相关的事件的出现是否会再次引起讨论的高潮,又将会向什么方向演变.     

Semiparametric regression of clustered current status data

This paper discusses regression analysis of clustered current status data under semiparametric additive hazards models. In particular, we consider the situation when cluster sizes can be informative about correlated failure times from the same cluster. To address the problem, we present estimating equation-based estimation procedures and establish asymptotic properties of the resulting estimates. Finite sample performance of the proposed method is assessed through an extensive simulation study, which indicates the procedure works well. The method is applied to a motivating data set from a lung tumorigenicity study.     

工业取用水监测奇异数据挖掘与重构方法

提高工业取用水监测数据质量是目前国家水资源监控能力建设的重要内容,而奇异值问题已成为影响监测数据质量的关键短板。本文在解析现阶段工业取用水监测数据奇异值主要类型基础上,以国家水资源管理系统数据库中工业取用水监测数据为样本,利用小波变换模极大值模型提取工业取用水监测数据时频变化特征,并利用傅里叶函数对其残差序列进行修正,进而运用相对误差控制方法挖掘监测数据奇异值。在此基础上,采用混沌粒子群优化的最小二乘支持向量机模型重构填补奇异值数据。研究结果表明：小波变换模极大值模型能够较好地提取工业取用水监测数据序列的时频变化特征,但是同时容易导致监测数据的信息损失,利用傅里叶函数对小波变换进行残差修正则可进一步提升取用水监测数据序列的特征提取效果;以小波变换模极大值特征序列为基础,通过相对误差控制可实现对监测数据奇异值的高效挖掘;对于挖掘出的奇异值重构填补问题,可选取混沌粒子群优化的最小二乘支持向量机模型,其重构精度要优于多项式曲线拟合等传统统计学方法和普通最小二乘支持向量机模型。上述工业取用水监测数据奇异值挖掘重构策略为现阶段国家水资源监控能力建设的推进提供了重要技术方法支持。     

Impact of mindful self-care and perceived stress on the health related quality of life among young-adult students in West Virginia

ABSTRACT

There are substantial gaps in research on Health Related Quality of Life (HRQoL) in students aged 18 and above in West Virginia. The purpose of this study is to explore the associations between mindful self-care, perceived stress, and the HRQoL in this population. We conducted a cross-sectional study between March and April 2017. We included participants who were students, aged 18 years and above, living in West Virginia and were able to answer online questions in English. Data was obtained from an online survey using a structured questionnaire, including the SF12v2®, mindful self-care scale- SHORT, and Perceived Stress Scale (PSS)-10. We applied linear regressions to determine the predictors of HRQoL (physical health and mental health) using SF12v2®. 194 participants met the inclusion criteria of the study. Mindful self-care was negatively associated with perceived stress. Better mindful self-care mediated the relationship between perceived stress and psychological well-being, controlling for gender, age, race, marital status, education level, annual household income, and chronic disease status. Perceived stress and mindful self-care were not related to the physical well-being. Better mindful self-care may safeguard against perceived stress among students aged 18 years and above. Our findings in this study recommend more mindfulness-based interventions targeted to this subpopulation to improve psychological well-being.     

Data‐Driven Supply Chain Orientation and Financial Performance: The Moderating Effect of Innovation‐Focused Complementary Assets

Drawing on the complementary assets framework, this study explores the moderating effect of innovation‐focused complementary assets (CA‐I) on the relationship between a data‐driven supply chain orientation (DDSCO) and firm financial performance. To test the moderating effect, survey data gathered from 329 manufacturing firms in China were analysed using a moderated regression analysis. The results indicate that DDSCO has a significant positive effect on financial performance, and that capabilities for product and process innovation function as complementary assets moderating the DDSCO–performance relationship. The findings suggest that innovation‐focused complementary assets are performance differentiators when paired with a DDSCO and explain why some firms obtain financial benefits from the development of a DDSCO while others do not. Specifically, competitive advantage from a DDSCO may not be realized unless CA‐I and potentially other complementary assets are harnessed, thus providing useful practical guidance to managers. Hence, the study provides empirical support for the complementary assets framework.