“人肉搜索”刑事规制正当性思考

已经过去的2008年是中国法治史上不平凡的一年,也是网络文化急剧发展的一年,＂人肉搜索＂引擎响彻中国。而全国人大代表要求＂人肉搜索＂入刑化的呼声也惊醒了国人,人们开始对＂人肉搜索＂现象进行反思,以确保其健康、平稳地发展。     

Fourth Amendment update: the Supreme Court and strip searches: Safford Unified School District No. 1 v Redding

In light of the dramatic increase in the presence of weapons, violence, drugs, and other contraband in schools, school officials in the United States and England face significant challenges as they seek to maintain safe and orderly learning environments. Almost twenty five years after the United States Supreme Court's 1985 ruling in New Jersey v. T.L.O. allowed educational officials to search student lockers and property in order to keep schools safe, the Justices addressed the more delicate matter of strip searches for contraband such as drugs. In Safford Unified School District No. 1 v. Redding (Redding), the Court invalidated the strip search of a student for drugs but left the door open for the possibility of allowing searches for weapons under some circumstances. In light of remaining unanswered questions after Redding, this article reviews the background on the Fourth Amendment, earlier cases on student searches in American public schools, Redding in detail, and reflects on unanswered questions in its wake in the hope of shedding light on the propriety of strip searches of students.     

论我国附带搜查制度的建构

附带搜查制度是现代刑事诉讼搜查制度令状主义原则的一个重要例外,为现代刑事诉讼所普遍确认。我国在建立附带搜查制度时,应借鉴英国、美国、日本等国家的相关规定,合理架构搜查制度体系,明确其启动的前提条件、时间限制、实质要件和范围限制,以弥补立法缺陷,满足侦查实践的需要。     

论智能犯罪的特点与审讯对策

智能犯罪是犯罪行为人利用现代科技手段或精通的专业知识,经过精心策划而实施的一类犯罪。因此,研究智能犯罪的特点,制定相应的审讯对策是提高办案质量的一个重要的切入点。     

重新定义高科技时代下的搜查

高科技搜查手段的出现，改变了传统搜查的理论依据。高空搜查、高空照相、通讯记录搜查、电波追踪、热像仪、望远镜等高科技搜查手段的使用，使判断搜查的标准发生了变化。     

手机应用：提高大学生思想政治教育时效性的新载体

智能手机诞生后,以空前的广度和深度影响着大学生群体,给大学生思想政治教育带来了机遇和挑战.作者认为应该从培养教育队伍,构建教育模式,结合其他教育形式三个层面出发,利用全新校园软件、加强手机外教育引导、家校合作、打造行为教育、新生入学教育、心理健康教育相结合的教育模式等方法,利用手机应用提高大学生思想政治教育时效性.     

在侦查本位与审判本位之间:法治语境中的搜查程序研究

搜查在侦查活动中有着极为重要的作用。然而,这种侦查手段又极有可能侵犯公民的权利,所以世界各国都从程序上对搜查进行了严格的控制。通过对英、美、法、德、意、日六国的搜查制度进行考察研究,总结正当搜查程序的最低限度要求,分析我国搜查制度的现状和问题,对我国的搜查制度进行了规范化研究。     

谈在建筑物内的搜捕作战

为了使警察在建筑物内搜捕作战时避免伤亡和减少作战损失,文章运用了文献综述法,对在建筑物内搜捕作战的特点和作战方式进行了分析,提出了在建筑物内搜捕作战时,应从封锁建筑物与控制现场、战术侦察、搜捕作战方案、建筑物内战斗、甄别与控制五个方面着手。     

Comparison of feature selection and data fusion of Fourier transform infrared and Raman spectroscopy for identifying watercolor ink

The identification of different kinds of watercolor inks is an important work in the field of forensic science. Four different kinds of watercolor ink Spectroscopy data fusion strategies (Fourier Transform Infrared spectroscopy and Raman spectroscopy) combined with a non-linear classification model (Extreme Learning Machine) were used to identify the brand of watercolor inks. The study chose Competitive Adaptive Reweighted Sampling (CARS), Random Frog (RF), Variable Combination Population Analysis-Genetic Algorithm (VCPA-GA), and Variable Combination Population Analysis-Iteratively Retains Informative Variables (VCPA-IRIV) to extract characteristic variables for mid-level data fusion. The Cuckoo Search (CS) algorithm is used to optimize the extreme learning machine classification model. The results showed that the classification capacity of the mid-level fusion spectra model was more satisfactory than that of single Infrared spectroscopy or Raman spectroscopy. The CS-ELM models based on infrared spectroscopy used to recognize the watercolor ink according to brands (ZHENCAI, DELI, CHENGUANG, and STAEDTLER) obtained an accuracy of 66.67% in the test set using all spectral datasets. The accuracy of CS-ELM models based on Raman spectroscopy was 67.39%. The characteristic wavelength selection algorithms effectively improved the accuracy of the CS-ELM models. The classification accuracy of the mid-level spectroscopy fusion model combined with the VCPA-IRIV algorithm was 100%. The data fusion method increased effectively spectral information. The method could satisfactorily identify different brands of watercolor inks and support the preservation of artifacts, paintings, and forensic document examination.     

Predicting Serial Killers' Home Base Using a Decision Support System

The effectiveness of a geographical decision support tool (Dragnet) forlocating the base of serial offenders was compared across 570 modelscomprised of a range of negative exponential functions, buffer zonecomponents, and normalization parameters. The models were applied to thebody disposal locations within each series for 70 U.S. serial killers. Twonormalization parameters were compared for all functions. The test ofeffectiveness was a specifically defined measure of search cost. Whenapplied to the Dragnet predictions it was found that the specially developednormalization parameter (QRange) produced the optimal search costs. Theoptimal search cost was also found to be for a function that did not includeany buffer zone. The optimal, average search cost across the whole samplewas 11% of the defined search area. Fifty-one percent of the offendersresided in the first 5% of the search area, with 87% in the first 25%. Allresided in the total defined search area. These results support thepotential for operational tools using such procedures as well ascontributing to our understanding of criminal's geographicalbehavior. The applicability to other forms of serial crime is considered.