核技术应用企业研发骨干激励机制探究

核技术应用一般是指射线技术与射线装置在医疗、工农业、地质调查、研究与教育中的应用。我国核技术应用企业研发骨干激励存在着激励的创新导向不足、薪酬激励机制不合理、组织文化有欠缺等问题,需结合行业特点及核技术应用企业研发骨干激励的特殊要求,采取相应的激励对策,包括从核心能力出发研究激励问题、建立适于激励研发人员的能力工资制、注重职业发展激励、注重责任激励、建立激发创新活力的组织文化等。     

Variables related to maternal satisfaction with intrapartum care in Northern Italy

BackgroundThe experience of labour and birth is complex, multidimensional and subjective and has the potential to affect the women and their families physically and emotionally. However, there is a lack of research around maternal satisfaction in Italy.AimTo evaluate mothers’ satisfaction with their childbirth experience in relation to socio-demographic characteristics, obstetric history and intrapartum care variables.MethodsA cross-sectional study involving 277 women who had given birth in a low risk maternity unit in Northern Italy was undertaken. Satisfaction with birth was measured using the Italian version of the Birth Satisfaction Scale-Revised (I-BSS-R). The scale comprises three Sub-Scales: quality of care provided, personal attributes of women and stress experienced during childbirth.FindingsNo socio-demographic variables were related to maternal satisfaction. Multiparous women had a higher satisfaction score (p = 0.020; CI:0.23;2.75). Antenatal class attendance was negatively associated with maternal satisfaction (p = 0.038; CI:−2.58; −0.07). Intrapartum variables that significantly reduced maternal satisfaction were: epidural usage (p = 0.000; CI:−4.66; −2.07), active phase >12 h (p = 0.000; CI:−6.01; −2.63), oxytocin administration (p = 0.000; CI:−5.08; −2.29) and vacuum assisted birth (p = 0.001; CI:−6.50; −1.58). Women with an intact perineum were more likely to be satisfied (p = 0.008; CI:−4.60; −0.69).DiscussionIn accordance with other research, we showed that intrapartum interventions are negatively associated with maternal outcomes and therefore also with maternal satisfaction with birth. The sub-scale that measured Quality of Care provided scored higher than the other two Sub-Scales.ConclusionFurther studies on maternal satisfaction in Italy should be conducted, using the I-BSS-R with the aim to compare outcomes and understand what matters to women during childbirth.     

A Boy’s Journey: Public Sociology for in and Out of the Classroom

This essay is a response to Stein (2019; 2020) and his use of lived experience to tell the story of violence and the Holocaust. I discuss these works’ contributions to public sociology and teaching.     

美国中小学的体验式学习及启示

体验式学习的内涵随着时代的发展而逐渐丰富和深化，但无论其如何演变，直接经验和反思始终是体验式学习这一概念的内核。体验式学习理念渗透于美国教育文化之中。具体表现在：小学阶段的教育以学生的真实感知为基础，注重为学生提供真实体验的机会和激发学生的学习兴趣；中学尤其是高中阶段的教育以学生的真实体验为基础，注重为学生提供在新情境中检验所学知识的机会，注重学生知识、技能的内化吸收。美国中小学体验式学习的实施经验可为我国基础教育课程改革提供如下启示：（1）进一步树立和推广体验式学习理念；（2）创设学生进行真实体验的教学环境；（3）注重实施基于学生体验式学习的表现性评价。     

Non-parametric estimation of reciprocal coordinate subtangent for right censored dependent scheme

The concept of reciprocal coordinate subtangent (RCST) has been used as a useful tool to study the monotone behavior of a continuous density function and for characterizing probability distributions. In this paper, we propose a non-parametric estimator for RCST based on the censored dependent data. Asymptotic properties of the estimator are established under suitable regularity conditions. A simulation study is carried out to examine the performance of the estimator. The usefulness of the estimator is also examined through a real data.     

丑角、看客与孤独者的悲喜剧 ——鲁迅与穆时英笔下的丑角形象之比较

鲁迅与穆时英笔下都塑造过一系列具有丑角特质的形象。不同的是,穆时英笔下的丑角具有自觉性,以小丑身份为面具,掩盖自己的孤独与恐惧；鲁迅笔下的丑角多是非自觉的,他们认真地践行着自己的人生理念,却因其与周遭环境格格不入,被人当作小丑、疯子。从中折射出两位作家迥异的生命观,穆时英从个体角度出发,写出了都市人在悲哀的脸上戴了快乐面具的无奈,对丑角表演持拥抱态度；鲁迅则从批判国民性的宏观角度出发,敏锐地意识到了丑角表演背后的隐忧,对其持拒斥的姿态。     

双循环新发展格局下中国双向直接投资研究

构建以国内大循环为主体、国内国际双循环相互促进的新发展格局,是对未来中国经济发展路径做出的重大战略部署,作为连接国内国际双循环的纽带,双向直接投资的发展战略和路径面临重塑和调整。研究认为,应当以推动新时代科技创新和产业升级为目标,提高双向直接投资的质量,畅通供应链和产业链; 以“一带一路”倡议为依托,通过更高水平的双向投资带动中国与沿线国家贸易水平的提高; 建设高水平自贸区和自贸港,提高对外开放标准,更高质量吸引外资,提升参与国际大循环的技术含量和自主性; 在畅通要素流动领域,建立更加完善的现代化物流体系,建设更高标准的要素流通市场体系,降低制度性交易费用,提高生产率和对高质量外资的吸引能力。     

体验型产品消费行为的羊群效应及机理研究——基于电影行业消费行为的实证解释

互联网环境下消费者购买体验型产品时对网络信息的依赖性很大。因此，研究社交媒体影响下体验型产品的消费者决策选择行为具有现实意义。本文以电影行业的票房偏离及消费跟风现象为切入点，探究体验型产品的羊群效应并对其产生的内在机理进行解释。采集艺恩资讯的票房数据以及豆瓣的电影基本信息及影评等数据作为研究样本，从消费者"羊群行为"视角分析其对电影票房的影响。研究发现：在控制了质量等内生性影响之后，消费者羊群效应依然存在；产品特征信息对羊群效应起到了调节作用，从而形成理性跟随；采用预期差异模型可以解释消费者实现理性跟随的过程。研究结论对于电影行业宏观政策制定及对体验型产品合理进行营销推广提供了理论基础与实证依据。     

Recognizing Structural Nonidentifiability: When Experiments Do Not Provide Information About Important Parameters and Misleading Models Can Still Have Great Fit

In the quest to model various phenomena, the foundational importance of parameter identifiability to sound statistical modeling may be less well appreciated than goodness of fit. Identifiability concerns the quality of objective information in data to facilitate estimation of a parameter, while nonidentifiability means there are parameters in a model about which the data provide little or no information. In purely empirical models where parsimonious good fit is the chief concern, nonidentifiability (or parameter redundancy) implies overparameterization of the model. In contrast, nonidentifiability implies underinformativeness of available data in mechanistically derived models where parameters are interpreted as having strong practical meaning. This study explores illustrative examples of structural nonidentifiability and its implications using mechanistically derived models (for repeated presence/absence analyses and dose–response of Escherichia coli O157:H7 and norovirus) drawn from quantitative microbial risk assessment. Following algebraic proof of nonidentifiability in these examples, profile likelihood analysis and Bayesian Markov Chain Monte Carlo with uniform priors are illustrated as tools to help detect model parameters that are not strongly identifiable. It is shown that identifiability should be considered during experimental design and ethics approval to ensure generated data can yield strong objective information about all mechanistic parameters of interest. When Bayesian methods are applied to a nonidentifiable model, the subjective prior effectively fabricates information about any parameters about which the data carry no objective information. Finally, structural nonidentifiability can lead to spurious models that fit data well but can yield severely flawed inferences and predictions when they are interpreted or used inappropriately.