自杀和生命的意义——来自脑科学研究的解读

生命本身是一个随机事件，并不具有高尚的意义。进化的结果使人类可通过工作、家庭和人际关系等给予自己的生命以意义感。当我们的生活方式使脑内奖赏系统获得刺激，就会带来生命具有意义的感受，这种感受给人带来更好的生存机会。生存的欲望是一切生物体最具特征的属性，一些精神疾病患者缺乏这种欲望。自杀主要发生于精神疾病患者，它并非是基于自由意志的行为。抗精神病治疗和适当的社会交往可以预防自杀。由于不同个体有着不同的大脑，人们的生活方式就应该去适应各自大脑的特征。只要人们的生活方式不对他人造成过多的伤害，政府就应该允许和保护人们自由地按照各自的方式生活。     

Hierarchical Bayesian Modeling of Post-Earthquake Ignition Probabilities Considering Inter-Earthquake Heterogeneity

Post-earthquake fires are high-consequence events with extensive damage potential. They are also low-frequency events, so their nature remains underinvestigated. One difficulty in modeling post-earthquake ignition probabilities is reducing the model uncertainty attributed to the scarce source data. The data scarcity problem has been resolved by pooling the data indiscriminately collected from multiple earthquakes. However, this approach neglects the inter-earthquake heterogeneity in the regional and seasonal characteristics, which is indispensable for risk assessment of future post-earthquake fires. Thus, the present study analyzes the post-earthquake ignition probabilities of five major earthquakes in Japan from 1995 to 2016 (1995 Kobe, 2003 Tokachi-oki, 2004 Niigata–Chuetsu, 2011 Tohoku, and 2016 Kumamoto earthquakes) by a hierarchical Bayesian approach. As the ignition causes of earthquakes share a certain commonality, common prior distributions were assigned to the parameters, and samples were drawn from the target posterior distribution of the parameters by a Markov chain Monte Carlo simulation. The results of the hierarchical model were comparatively analyzed with those of pooled and independent models. Although the pooled and hierarchical models were both robust in comparison with the independent model, the pooled model underestimated the ignition probabilities of earthquakes with few data samples. Among the tested models, the hierarchical model was least affected by the source-to-source variability in the data. The heterogeneity of post-earthquake ignitions with different regional and seasonal characteristics has long been desired in the modeling of post-earthquake ignition probabilities but has not been properly considered in the existing approaches. The presented hierarchical Bayesian approach provides a systematic and rational framework to effectively cope with this problem, which consequently enhances the statistical reliability and stability of estimating post-earthquake ignition probabilities.     

政府减排目标、产业结构与污染减排

政府是污染减排的重要主体,了解其行为对污染减排的作用对提升污染减排效果及实现中国绿色发展具有重要意义。创造性地将政府减排目标纳入研究框架,构建面板门槛模型,从工业污染排放总量的角度分析政府减排目标、产业结构、经济规模等因素对地方污染减排的影响,并用工业污染物强度进行稳健性检验。结果显示,政府减排目标对污染减排的作用存在阶段性不同:经济发展初级阶段,政府减排目标对污染排放总量的作用方向为正; 经济发展水平较高时,作用方向为负; 两者之间存在适应性调整阶段,作用方向具有不确定性,但总体由正向作用向负向作用转变。产业结构对工业污染排放总量的作用方向因污染物种类而异,经济规模对工业污染排放总量作用方向为正。     

A New Methodology for Before–After Safety Assessment Using Survival Analysis and Longitudinal Data

The widely used empirical Bayes (EB) and full Bayes (FB) methods for before–after safety assessment are sometimes limited because of the extensive data needs from additional reference sites. To address this issue, this study proposes a novel before–after safety evaluation methodology based on survival analysis and longitudinal data as an alternative to the EB/FB method. A Bayesian survival analysis (SARE) model with a random effect term to address the unobserved heterogeneity across sites is developed. The proposed survival analysis method is validated through a simulation study before its application. Subsequently, the SARE model is developed in a case study to evaluate the safety effectiveness of a recent red‐light‐running photo enforcement program in New Jersey. As demonstrated in the simulation and the case study, the survival analysis can provide valid estimates using only data from treated sites, and thus its results will not be affected by the selection of defective or insufficient reference sites. In addition, the proposed approach can take into account the censored data generated due to the transition from the before period to the after period, which has not been previously explored in the literature. Using individual crashes as units of analysis, survival analysis can incorporate longitudinal covariates such as the traffic volume and weather variation, and thus can explicitly account for the potential temporal heterogeneity.     

论数字货币的私法性质——以日本Bitcoin.Cafe数字货币交易所破产案为中心

数字货币，是一种具有财产性价值属性的电磁记录型数据。数字货币在其依存的区块链体系中所彰显的与不特定者之间的支付对价性、与法定货币之间的互换性、使用电子信息处理系统进行转移的在线转移性等特点，得以从数据说的角度，将其作为一种数据性财产权在现行法律框架内对其私法性质进行讨论。有鉴于我国民法总则已将数据纳入保护客体的范畴，数字货币作为数据之一种，理应成为一种新型法律客体，在得到法律理论支撑的基础上获得保护。     

Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.     

《1844年经济学哲学手稿》与《神圣家族》中的生活思想

《1844年经济学哲学手稿》和《神圣家族》都是马克思主义创始人早期思想的代表性著作，二者都把“生活”作为重要概念进行论述。从作为经济学哲学概念到作为社会批判概念，马克思主义创始人对“生活”的认识经历了从对物质生产活动的重视到对无产阶级普遍贫困生活的揭露，从分析“生产生活”的异化到对“非人性”生活的批判，从“生活的手段”到消灭“非人性的生活条件”的思想历程。人类的历史是人类生活发展的历史。解决人的美好生活如何实现的问题，在马克思恩格斯的生活思想中居于核心地位，这对当今中国具有重要的理论指导价值。中国特色社会主义进入新时代，从开启一种全新文明的生活形态的高度来理解新时代的美好生活，才能准确把握我国社会主要矛盾变化的深刻意义。     

Age embodied

In this essay, I argue that social scientists might usefully theorize age and embodiment as mutually constituting accomplishments. Material from interviews with 15 adults over 50 illustrates the utility of this theoretical framework and reveals four main dimensions of embodiment—activity, fitness, and health; energy; appearance; and ailments and illness—that respondents draw on as they consider what it means to be both embodied and aged (i.e., having an age). In addition, the interviews show how respondents make social comparisons and employ age-adjusted standards as they interpret their bodies, activities, and capabilities in relation to age.     

福建省科技资源配置的现状、问题及对策

利用翔实的统计数据和资料,从科技人力资源、财力资源、技术资源等方面分析了福建省科技资源配置的现状及存在的问题,并针对存在的问题提出了相应的对策和建议。     

《老子》韵读研究

本文分三大部分：一、依王力古韵三十部，将《老子》各章所有入韵之字表而谱之；二、自用韵之部居、韵在句中之位置、韵在章中之位置、用韵之数量、用韵比配之形式等角度，归纳出《老子》用韵40例；三、古今诸家对《老子》韵读之研究，多有失误所在。究其失误之由，则主要在于对《老子》韵例之特殊性及《老子》以古谐声入韵之特殊性认识不足。特略考数例，以明一般。