针对生物识别信息的刑法保护:现实境遇与完善路径——以四川“人脸识别案”为切入点

当前生物识别信息在我国社会中的运用呈现逐年递增的趋势.生物识别信息具备本体特殊性和社会特殊性,这决定了其具备与普通公民个人信息不同的重要性,应受到刑法的特殊保护,但我国既定刑事立法对生物识别信息并未进行任何形式的特殊保护.可运用实质解释的方法,在不违反罪刑法定原则的前提下,充分利用两高《解释》第5条中第1款第10项和第2款第4项这两个兜底条款,将"侵犯生物识别信息5条及以上"认定为"情节严重",将"侵犯生物识别信息50条及以上"认定为"情节特别严重",由此降低针对生物识别信息原本的入罪和法定刑升格的数量,最终实现对生物识别信息的特殊刑法保护.     

局部平稳部分线性面板数据模型的统计推断

部分线性模型是一类非常重要的半参数回归模型,由于它既含有参数部分又含有非参数部分,与常规的线性模型相比具有更强的适应性和解释能力。文章研究带有局部平稳协变量的固定效应部分线性面板数据模型的统计推断。首先提出一个两阶段估计方法得到模型中未知参数和非参数函数的估计,并证明估计量的渐近性质,然后运用不变原理构造出非参数函数的一致置信带,最后通过数值模拟研究和实例分析验证了该方法的有效性。     

Working to get fired? Unemployment benefits and employment duration

In many countries, jobseekers are entitled to unemployment benefits (UBs) only if they have previously worked a minimum period of time. This institutional feature creates a sharp change in the disutility from unemployment at UB eligibility and may distort the duration of jobs. In this paper, we evaluate this eligibility effect using a regression discontinuity approach. Our evidence is based on longitudinal social security data from Portugal, where jobseekers are required to work a relatively long period to collect UBs. We find that monthly transitions from employment to unemployment increase by 10% as soon as the eligibility condition is met. This result is driven entirely by transitions to subsidised unemployment, which increase by 20%, as non-subsidised unemployment is not affected. The effects are even larger for the unemployed with high UB replacement ratios or those who meet the eligibility condition from multiple short employment spells. These transitions deserve greater attention from UB agencies and public employment services.     

中国智能经济的涌现机制

我国智能经济的发展内生于经济转型升级过程中创造的智能化需求。与AI 1.0不同，新一代人工智能(AI 2.0)不再是简单用计算机模拟人的智能，而是基于网络空间发展的数据智能，即智能机器、人和网络相互融合的智能系统。智能经济是以数据和计算为“关键生产要素”的新经济形态，包括人工智能的产业化和产业的智能化过程中创造的新产品、新技术、新模式和新业态。互联网，尤其是移动互联网发展中创造出的数据生态优势是中国人工智能科技产业发展的前提和基础。在拥有数据生态优势的条件下，强烈的需求牵引、产学研协同创新、创新生态系统的高度开放性和核心产业部门与融合产业部门的融合发展，共同构成了中国智能经济发展的关键机制。     

‘One MBA?’ How context impacts the development of post-MBA career outcomes

Using survey data from alumni of one of the UK's earliest and largest MBA programmes we explore how career capital, career outcomes and career satisfaction are impacted by learner context. We adopt comparative capitalisms theory to investigate whether graduates from a standardised programme marketed as ‘One MBA’ report broadly similar career outcomes irrespective of their work and study location. We find that despite the rhetoric around globalisation in management education there are differences that fit the theories of comparative capitalisms literature; thus supporting the view that, despite the global nature of MBA branding, context still plays a role in shaping learning and career outcomes as evidenced by differences reported here. Significant findings are reported in terms of the reported development of career capital ‘knowing how’; career satisfaction and perceived organisational support, however differences in terms of the achievement of objective career success (promotion and career mobility) were less pronounced.     

Demographic differences in response rates for PHQ9 in a university student population

Objective: To examine differences in complete response rates for depression screening questions based on demographic characteristics. Methods: Cross-sectional study examining associations between demographic characteristics and completely responding depression-screening questions. Participants: “Healthy Minds Study” data, collected in a public University in February 2016, where 7,326 students participated. Results: women (AOR: 0.69; 95% CI =0.57–0.83) and gay/lesbian students (AOR: 0.24; 95% CI =0.10–0.60) had better complete response rates. Non-US (AOR: 1.46; 95% CI =1.03–2.07), black (AOR: 3.32; 95% CI =1.92–5.77), and Middle-Eastern students (AOR: 3.73; 95% CI =1.73–8.02) had lower complete response rates. Conclusions: Our study shows sex, gender, citizenship, and race categories have significant differences in complete response rates for the outcome. Our findings have several implications; including recognizing interventions for depression based on responders may not target those that tend to be “partial-responders”. Efforts in survey design, recruiting and completion of surveys should be maximized.     

Assessing emotional and social health using photographs: An innovative research method for rural studies and its applicability in a care-farming program for youth

A framework for assessing photographs for the emotional and social health of young people (SHAPE) is described and tested, within the context of a rural program. Two independent raters assessed the photographs of participants. To assess inter-rater reliability, Cohen’ K and Kendall’s W were calculated. The two reviewers’ assessments of photographs were in agreement. The assessment of emotional/behavioural display showed 82% agreement. Agreement between reviewers’ judgements of proxemics (W = .866), interaction (W = .722), engagement (W = .932) and overall impression (W = .804) were all significant (p < .005). The method yielded results indicating that participants found gardening immediately engaging but their approach to equines exhibited a change from fascination to confidence during the program. The visual-diary method is a useful and sensitive method for research: where resources are limited; to complement traditional measures; for use with people who lack appropriate verbal communication or literacy skills to complete questionnaires; young children; other underrepresented groups.     

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.