论电子证据的法律地位

随着科学技术的进步和计算机的广泛运用 ,电子证据在刑事诉讼活动和证明过程中占有日益显著的地位。作为对新生事物的关注 ,我国法学理论界对电子证据的法律地位、种类归属及证据力等问题的研究在近年内也缓慢起步。因此 ,当前有必要从电子证据的收集与提取、资格与归属、认证与证明力各环节出发 ,对电子证据进行更加深入的理论分析和探讨 ,从而作出新的立法构想与安排 ,以弥补旧有制度的缺陷 ,并适应社会进步和国际发展趋势。     

论我国民事诉讼证据保全制度及其完善

证据保全是法院对证据采取保护措施、保证其证明力的一种制度,包括诉前证据保全与诉讼中的证据保全。我国民事诉讼证据保全制度并不完善,应当规定全面的证据保全制度,即对诉前证据保全制度应当加以规定;另外,还要完善证据保全的具体程序与规定证据保全申请错误的赔偿和诉讼等。     

论我国法院调解的促进和规范

随着经济的发展 ,法制的完善以及审判方式改革的深化 ,法院调解这一纠纷解决方式以其独特的优点 ,在司法实践中 ,越来越显示其重要性。时代赋予法院调解新的价值的同时 ,也使其原有的法律规定弊端凸现。本文拟从法院调解三原则的地位分析中寻找促进和规范法院调解的途径 ,并运用新证据规则加以落实。     

民事诉讼举证责任中应注意的几个问题

民事诉讼对举证责任的规定极其笼统、抽象。本文认为 :应进一步明确民事举证责任的涵义 ,应在基本范围内指导举证 ,并应充分提高证据的质和量 ,同时针对特殊举证的责任应采取相应对策。     

分析数学的一组结论

运用分析的方法，给出并证明了分析数学中有关函数、级数和算子的一组结论。     

Bayesian locally optimal design of knockout tournaments

The elimination or knockout format is one of the most common designs for pairing competitors in tournaments and leagues. In each round of a knockout tournament, the losers are eliminated while the winners advance to the next round. Typically, the goal of such a design is to identify the overall best player. Using a common probability model for expressing relative player strengths, we develop an adaptive approach to pairing players each round in which the probability that the best player advances to the next round is maximized. We evaluate our method using simulated game outcomes under several data-generating mechanisms, and compare it to random pairings, to the standard knockout format, and to two variants of the standard format.     

试论适航责任

自《海牙规则》采用恪尽职责使船舶适航的责任以来,该责任已被大多数国家所采纳。适航责任的概念、构成、举证与责任承担等问题对认定承运人是否违反适航义务非常重要,《海牙规则》部分地解决了关于适航责任的争议问题。     

举证责任分配理论之重构

从法律解释学的角度重新分析举证责任分配的本质。分析了举证责任分配的理论依据,阐释举证责任分配的理由;运用法律行为的相关理论证明举证责任分配的实体法解释的本质;从法律解释学的角度重新构造了举证责任分配。     

基于民俗仪式与符号阐释的《大傩图》补证

《大傩图》中人物极具符号性的装饰及道具所蕴含的民俗信仰因素,可以证明此图所画为仲春民间兼有驱傩、祈雨、娱乐功能的社火表演,更名为《社火图》较准确,不更名亦可。图中人物妆饰有“溪蛮”色彩,保有南方民族融合的痕迹。以执帚者为一号人物的一般说法可能有误,领队或一号人物当为蝶冠者。他们且行且吹打,滑稽搞笑,显然领队的临时掉头导致了队伍一团混乱,但此乱非真乱,抽去表象便可见队形乃呈反“S”或“龙抬头”状,属于(何意？)太极图式,具有深刻的寓意,且能最优化集中定格12个人物,如此匠心不能不令人击节。人物衣袍多着补子,而补子至明代方形成制度,故此图断代为宋值得怀疑。人物假面黑符至今仍存在于社火及戏曲脸谱中,当为我国戏曲脸谱之早期形式。     

Model averaging for treatment effect estimation in subgroups

In many clinical trials, biological, pharmacological, or clinical information is used to define candidate subgroups of patients that might have a differential treatment effect. Once the trial results are available, interest will focus on subgroups with an increased treatment effect. Estimating a treatment effect for these groups, together with an adequate uncertainty statement is challenging, owing to the resulting “random high” / selection bias. In this paper, we will investigate Bayesian model averaging to address this problem. The general motivation for the use of model averaging is to realize that subgroup selection can be viewed as model selection, so that methods to deal with model selection uncertainty, such as model averaging, can be used also in this setting. Simulations are used to evaluate the performance of the proposed approach. We illustrate it on an example early‐phase clinical trial.