案例教学法在卫生法学教学实施中的误区及解决策略

案例教学法在部分院校的卫生法教学实施中取得了良好的效果,但其教学设计、教学实施及教学反思环节仍存在误区。应当在以学生为主的教学理念和重视双向交流原则的指导下,通过精选教学案例、营造良好的课堂教学氛围、规范教学步骤来完善教学设计环节,通过突出学生学习的实践性和关注案例所涉知识面的扩展来重构教学实施环节,通过重视对本次案例教学法适用的总结反思和对整门学科适用案例教学法质量的检测来关注教学反思环节。     

The prediction and control of organized crime: A risk assessment instrument for targeting law enforcement efforts

Linking isolated instances of organized crime in a systematic way can inform law enforcement in identifying high-risk activities and markets and prioritizing them according to objective factors known to be associated with organized crime. There are five ways in which risk assessment organized crime can be achieved. Improvements to data collection, utilizing a team approach to gather information, identifying common elements in organized crime incidents, understanding the parameters of a risk assessment instrument, and connecting organized crime risk assessment to the implementation of law and policy are practical ways in which organized crime activity can be better anticipated, investigated, and prevented. Connecting isolated incidents to organized crime through better information from offenders, victims, and police is possible with teams of investigators, researchers, and analysts. An organized crime risk assessment tool is presented that offers systematic analysis of opportunity factors, the criminal environment, and harm potential among the seventeen risk factors identified. Risk assessment can be used to evaluate the influence of organized crime in local jurisdictions, and the impact of new laws and policies that affect commerce and criminal opportunities.     

Bullet ricochet mark plan-view morphology in concrete:an experimental assessment of five bullet types and two distances using machine learning

Bullet ricochets are common occurrences during shooting incidents and can provide a wealth of information useful for shooting incident reconstruction.However,there have only been a small number of studies that have systematically investigated bullet ricochet impact site morphology.Here,this study reports on an experiment that examined the plan-view morphology of 297 ricochet impact sites in concrete that were produced by five different bullet types shot from two distances.This study used a random forest machine learning algorithm to classify bullet types with morphological dimensions of the ricochet mark(impact)with length and perimeter-to-area ratio emerging as the top predictor variables.The 0.22 LR leaves the most distinctive impact mark on the concrete,and overall,the classification accuracy using leave-one-out cross-validation is 62％,considerably higher than a random classification accuracy of 20％.Adding in distance to the model as a predictor increases the classification accuracy to 66％.These initial results are promising,in that they suggest that an unknown bullet type can potentially be determined,or at least probabilistically assessed,from the morphology of the ricochet impact site alone.However,the substantial amount of overlap this study documented among distinct bullet types'ricochet mark morphologies under highly controlled conditions and with machine learning suggests that the human identification of ricochet marks in real-world shooting incident reconstructions may be on occasion,or perhaps regularly,in error.     

The Principle, Politics, and Finances of Introducing Academic Merit as the Standard of Hiring for "the teaching of law as a career," 1870–1900

Compared to the practice in other professional schools and academic fields at universities, law professors are hired at a young age based primarily upon their academic merit determined through grades, class rank, and school rank. This emphasis upon narrowly defined academic merit—apart from achievement demonstrated through original scholarship or experience in professional practice—first emerged during "the professionalization of the American law professor" between 1870 and 1900 at Harvard Law School (HLS). Though normative today, this outcome was neither necessary nor uncontested. In the late nineteenth century the new standard of hiring faculty according to their academic merit was energetically opposed by those favoring the antecedent standard of professional experience and reputation. Only when financial considerations counterbalanced that traditional standard did hiring decisions tip in favor of the new principle. Not until the early 1900s, when the second generation of academic meritocrats dominated the HLS faculty, did the new hiring standard become unequivocally established as policy in the school and, by extension, in legal education.     

Use of DNA profiles for investigation using a simulated national DNA database: Part II. Statistical and ethical considerations on familial searching

Familial searching consists of searching for a full profile left at a crime scene in a National DNA Database (NDNAD). In this paper we are interested in the circumstance where no full match is returned, but a partial match is found between a database member's profile and the crime stain. Because close relatives share more of their DNA than unrelated persons, this partial match may indicate that the crime stain was left by a close relative of the person with whom the partial match was found. This approach has successfully solved important crimes in the UK and the USA. In a previous paper, a model, which takes into account substructure and siblings, was used to simulate a NDNAD [1]. In this paper, we have used this model to test the usefulness of familial searching and offer guidelines for pre-assessment of the cases based on the likelihood ratio. Siblings of “persons” present in the simulated Swiss NDNAD were created. These profiles (N = 10,000) were used as traces and were then compared to the whole database (N = 100,000). The statistical results obtained show that the technique has great potential confirming the findings of previous studies. However, effectiveness of the technique is only one part of the story. Familial searching has juridical and ethical aspects that should not be ignored. In Switzerland for example, there are no specific guidelines to the legality or otherwise of familial searching. This article both presents statistical results, and addresses criminological and civil liberties aspects to take into account risks and benefits of familial searching.     

Phylogenetic relationship of psychoactive fungi based on rRNA gene for a large subunit and their identification using the TaqMan assay (II)

"Magic mushroom (MM)" is the name most commonly given to psychoactive fungi containing the hallucinogenic components: psilocin (1) and psilocybin (2). We investigated the rRNA gene (internal transcribed spacer (ITS) and large subunit (LSU)) of two Panaeolus species and four Psilocybe species fungi (of these, two are non-psilocybin species). On the basis of sequence alignment, we improved the identification system developed in our previous study. In this paper, we describe the new system capable of distinguishing MMs from non-psilocybin Psilocybe species, its application data and the phylogeny of MM species.     

Predicting Sex Offender Recidivism. I. Correcting for Item Overselection and Accuracy Overestimation in Scale Development. II. Sampling Error-Induced Attenuation of Predictive Validity Over Base Rate Information

The authors demonstrate a statistical bootstrapping method for obtaining unbiased item selection and predictive validity estimates from a scale development sample, using data (N = 256) of Epperson et al. [2003 Minnesota Sex Offender Screening Tool-Revised (MnSOST-R) technical paper: Development, validation, and recommended risk level cut scores. Retrieved November 18, 2006 from Iowa State University Department of Psychology web site: http://www.psychology.iastate.edu/ approximately dle/mnsost_download.htm] from which the Minnesota Sex Offender Screening Tool-Revised (MnSOST-R) was developed. Validity (area under receiver operating characteristic curve) reported by Epperson et al. was .77 with 16 items selected. The present analysis yielded an asymptotically unbiased estimator AUC = .58. The present article also focused on the degree to which sampling error renders estimated cutting scores (appropriate to local [varying] recidivism base rates) nonoptimal, so that the long-run performance (measured by correct fraction, the total proportion of correct classifications) of these estimated cutting scores is poor, when they are applied to their parent populations (having assumed values for AUC and recidivism rate). This was investigated by Monte Carlo simulation over a range of AUC and recidivism rate values. Results indicate that, except for the AUC values higher than have ever been cross-validated, in combination with recidivism base rates severalfold higher than the literature average [Hanson and Morton-Bourgon, 2004, Predictors of sexual recidivism: An updated meta-analysis. (User report 2004-02.). Ottawa: Public Safety and Emergency Preparedness Canada], the user of an instrument similar in performance to the MnSOST-R cannot expect to achieve correct fraction performance notably in excess of what is achievable from knowing the population recidivism rate alone. The authors discuss the legal implications of their findings for procedural and substantive due process in relation to state sexually violent person commitment statutes and the Supreme Court's Kansas v. Hendricks decision regarding the constitutionality of such statutes.