医疗事故罪客观要件探析

认定医疗事故罪,在客观上首先必须存在合法的医疗行为。其次必须在合法的医疗过程中出现严重不负责任的行为。认定严重不负责任,应当主要结合医务人员的注意义务,把违反常规性、常识性的注意义务,以及常发性的过失行为认定为严重不负责任。再次,严重损害就诊人身体健康应当根据《刑法》所规定的重伤标准去判断。最后,严重不负责任是就诊人死亡或严重损害就诊人身体健康的后果的主要原因力。     

妨碍信用卡管理罪行为方式探析

在妨害信用卡管理罪中,行为人明知其持有、运输的是"伪造的信用卡"或"伪造的空白信用卡"是一种对行为对象的明知,行为人虽然对"伪造的信用卡"和"伪造的空白信用卡"施加了影响,因为其不具有合法性,与刑法所保护的信用卡管理秩序也就不存在必然的本质与现象的联系,也就不能反映和体现信用卡管理秩序,因而是行为对象而不是犯罪对象.伪造居民身份证的行为与以骗领信用卡方式实施的妨害信用卡管理的行为之间构成手段与目的牵连关系,但由于刑法明确规定这种情况以妨害信用卡管理罪定罪处罚,因而虽然是牵连犯,但不能适用从一重处断的原则,而应按刑法的有关规定处罚,这是牵连犯处断原则的例外.     

Managing commercial risks in open source software licensing

Legal context: The article reviews the commercial risk allocation clauses intypical open source licence terms and discusses their enforceabilityand implications. Key points: The enforceability of warranty disclaimers and limitation ofliability clauses in common open source licence terms is questionable,particularly in a cross-border context, and commercial licensorsshould take additional steps to protect themselves from down-streamrisks. Practical significance: Open source software presents a number of unusual commercialissues, because it is available free of charge and the providerstry to disclaim warranties and liabilities. End users and resellershave to adjust their own in- and out-licensing models to accommodatethis situation.     

法官解释之方法智慧重述

审判的过程,需先对案件事实进行法律上的裁剪,继而以法律事实为据解释法律,重构审判规范。法官解释法律的方法智巧虽多,归根结底应服从于终极之目的解释。结合具体案件中的法律事实,法律经由文义、体系、法意、目的解释可以构造出适合个案的审判规范。     

Assessing Readiness to Change among Perpetrators of Intimate Partner Violence: Analysis of Two Self-report Measures

Recent interest in the construct of motivation to change among male perpetrators of intimate partner violence (IPV) has led to development of two self-report measures of this construct: the University of Rhode Island Change Assessment for Domestic Violence (URICA-DV; Levesque et al. 2000) and the Safe at Home Inventory (SAH; Begun et al. 2003). We examined the internal structure of these instruments using confirmatory and exploratory factor analyses in a sample of 199 male IPV perpetrators waiting to begin court-mandated batterer intervention programs. Results indicated that the scales had adequate internal consistency. However, using confirmatory factor analyses, the hypothesized structural models of each instrument fit the data poorly. Subsequent models suggested by a series of exploratory factor analyses failed to improve model fit substantially for both scales. For the URICA-DV, a 3-factor model including items from the Precontemplation, Contemplation, and Action subscales fit the data adequately. No acceptable model fit could be found for the SAH. Intercorrelations among similar subscales across the two inventories suggested only a modest degree of intercorrelation (r’s = 0.16–0.52), and a factor structure more dependent on scale of origin than item latent content, suggesting that the scales assess different facets of the readiness to change construct. These results suggest that before the stages of change construct can be fully applied to the IPV area, more research and evaluation are needed on how to accurately assess abuser readiness to change.     

5个STR基因座的遗传多态性及其法医学应用

目的获得D11S4951、D11S4957、GATA193H05、D2S2951、D6S2421基因座的群体遗传学数据,并分析其在法医学中的应用价值。方法随机抽取成都地区汉族群体无血缘关系个体的静脉血,EDTA抗凝,用Chelex-100法提取DNA,应用PCR技术,扩增上述5个短串联重复序列基因座,聚丙烯酰胺凝胶垂直板电泳分型。结果5个基因座在中国成都汉族人群中分别发现了7、10、8、6、8个等位基因,5个基因座的基因型分布符合Hardy-Weinberg平衡(P>0.05)。各基因座的杂合度分别为0.743、0.772、0.833、0.650和0.800;非父排除概率分别为0.497、0.549、0.662、0.356和0.599;个人识别几率分别为0.863、0.912、0.947、0.829和0.931。结论5个基因座在中国汉族群体中具有法医学应用价值。     

汉族人群五个STR基因座的多态性调查

应用PCR及PAG电泳技术研究了PLA2A、vWA、CYP19、TH和LPL五个基因座的多态性，调查武汉地区汉族无关个体，获得汉族人群的频率分布。五个基因座基因型频率分布与Hardy-Weinberg平衡吻合良好、分别计算基因座的杂合度（H）、个人识别能力（Dp）、非父排除率（PE）和多态性信息总量（PIC）。为法医学应用提供了基础数据。     

DNA双股螺旋结构与迅猛发展的法庭科学——纪念人类DNA双股螺旋结构发现50周年

自1953年Watson和Crick发表DNA双股螺旋结构,它为人类生命科学,尤其是法庭科学的发展带来了历史性的变化。法庭科学从个体识别和亲子鉴定的排除到认定,经历了DNA指纹图、AMP-FLP及SNP的3个阶段。同时线粒体DNA的应用也在广泛开展。另外数据库的建设和完善成为法庭科学的发展方向。总之,DNA双股螺旋结构对法庭科学革命性变化起了决定性的作用。     

Application of MALDI‐TOF MS for Estimating the Postmortem Interval in Rat Muscle Samples

Estimating the postmortem interval (PMI) is very important in the forensic sciences. Although many approaches have been used for estimating the PMI, accurate PMI calculations are still difficult. In this study, four Sprague Dawley (SD) rats were sacrificed by suffocation, and muscle samples were collected by dissection at various time intervals (0, 48, 96, and 144 h) after death. All samples were probed using matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOFMS) to obtain molecular images and data for principal component analysis (PCA). The results showed that the peaks at m/z 1511, 1543, 1564, 1586 clearly decreased in intensity from 0 to 144 h postmortem and that the time groups were separated from each other on the PCA score plot. The prediction model showed high recognition capability (95.93%) and cross‐validation (83.72%). Our work suggests that MALDI‐TOF MS can be used to determine the PMI.     

The talk–listen–respond (TLR) model of representatives on Twitter

Despite the existing research on how elected representatives use Twitter, there are few comparative studies and none that considers Israel, a country that differs from most democracies in its electoral system. This study has two levels of analysis. The first is the country level, in which the author compares and explains how representatives in four countries – the US, Canada, Australia and Israel – use the talk, listen and respond model to achieve their goals. The second is the individual level, in which the author analyses how personal characteristics such as gender and age, and political characteristics such as seniority and membership in the opposition or coalition affect the frequency of use of Twitter. Using quantitative data, it is demonstrated that representatives vary in the frequency of their use of Twitter. On the country level, Australian representatives use Twitter more often than their counterparts in other countries. On the individual level, first-term members, members of the opposition, and older representatives use Twitter more often than those with more seniority, coalition members, and younger legislators.