Composite Machine Learning Algorithm for Material Sourcing,

This study developed a composite machine learning algorithm for attribution of materials of forensic interest (like ammonium nitrate) to original sources. k-nearest neighbor and random forest models were used for source elimination and classification, respectively, in a two-step, composite algorithm based on particle color, size/shape, and trace element concentration features. Novel approaches for simulation to supplement within-source reference features based on empirically measured multi-lot analyses, an improved hold-one-lot-out method for cross-validation, an assessment of the likelihood of the presence of a reference sample, fusion of the source probabilities from the respective classification models, and the calculation of metrics for assessing ensemble sourcing performance are described. Excellent sourcing predictions were obtained; the sourcing algorithm identified the correct source as the top choice 89% of the time, and the correct source was identified to be an average of 2.7 times more likely than the most likely incorrect source.     

DNA Recovery From Tape-Lifting Kits: Methodology and Practice

In the case of suspicious deaths, the technique of 1:1 taping is often used in Belgium. It consists of affixing a large number of adhesive tapes to the body of the victim. It is conventionally aimed at obtaining microtraces (e.g., fibers, hair) and is usually not used for DNA analysis. However, in some cases, DNA analysis of certain areas of interest identified on the 1:1 taping material can offer a last resort solution. The four-step method that is described in this article involves the selection of areas of interest on the body (Step 1), the selection of the corresponding tapes (Step 2), the decontamination of the tapes (Step 3), the selection of areas of interest on the tapes, for DNA sampling (Step 4). The method is illustrated by its successful application in four murder cases. In each case, DNA profiles of good quality could be identified, including profiles of persons different from the victim.     

骨龄自动化评估的研究进展

骨龄是反映人体生长发育的一项重要指标,能够较为客观地反映个体生长发育水平及成熟度。传统的人工骨龄评估通常是将左手腕X线片与参考标准进行比较,从而获得相应的骨龄值,该方法既耗时又存在观察者间的差异。近年来,随着计算机科学的不断发展,促使骨龄评估开始由传统的人工评估向自动化评估转变。虽然骨龄自动化评估的研究已相当多,但大部分仍处于实验阶段。本文综述了近年来国内外学者在骨龄自动化评估方面的相关研究与进展,以期为相关研究人员提供参考与研究思路。     

关于司法鉴定若干问题的思考

司法鉴定启动制,人民法院对司法鉴定的监督,以及人民法院内设司法鉴定机构职能的调整问题.都是完善司法鉴定制度的重要问题,作者对这些问题进行探索,求教同行,推动改革。     

鉴定人的责任负担

鉴定人是司法鉴定活动的决定性因素。鼓励专家参与法庭服务与约束专家独立、客观实施鉴定这一对矛盾需要通过制度的合理设置达到一定的平衡状态,以适合诉讼活动的开展。鉴定人的责任负担是体现对鉴定人实施鉴定活动进行约束的主要手段,也是我国进一步深化司法鉴定体制改革不可回避的重要内容之一。     

大鼠视神经夹伤后视网膜病变及其F-VEP检测

目的观测大鼠视神经夹伤后视网膜病变及其对视功能时序性变化的影响。方法建立大鼠视神经夹伤模型,分别于伤后1、3、5、7、9、14、28、56、84d光镜观察视网膜病变,闪光视觉诱发电位(F-VEP)检测视功能状况。结果大鼠视神经损伤诱导视网膜神经节细胞(RGCs)较正常眼明显减少。损伤后3～7d RGCs减少率快速上升,14d 后缓慢下降,28d后几乎无明显变化。视神经损伤1d F-VEP波形变得低而宽;1-14d峰潜时和波幅呈进行性下降, 28d后变化平稳,并显示恢复迹象。结论神经损伤后节细胞继发性病变是视功能进行性下降的重要基础;并与视功能的时间规律变化具有相关性。     

骨折鉴定中MSCT及图像后处理的诊断与应用

目的探讨多层螺旋CT(MSCT)及其图像后处理功能在骨折法医鉴定中的诊断与应用价值。方法对366例法医鉴定者行薄层扫描并进行表面遮盖成像(SSD),透明化X线模拟投影(see-through)和多平面重建(MPR)处理。对所得图像进行诊断和分型。结果准确诊断并对134例鼻骨、98例眼眶和21例颅骨骨折进行分型。正确显示36例肋骨骨折、4例肩胛骨骨折、24例脊柱骨折和27例四肢骨及关节骨折。利用透明化X线模拟投影等技术鉴别陈旧性骨折18例。结论MSCT及图像后处理在骨折法医鉴定中具有重要实用价值,可为伤害等级鉴定提供有力的法医学依据。     

椎间盘突出症及其法医学鉴定

椎间盘突出症的原因复杂,损伤、遗传因素、肥胖、椎间盘自身的退行性变等均可成为椎间盘突出的病因。损伤可以直接导致椎间盘的慢性或急性破坏,引起椎间盘突出,也可以在原有椎间盘退变的基础上导致椎间盘突出。在法医学鉴定中,通过仔细分析被鉴定人的年龄和职业特点、受伤方式、伤后症状和体征,结合影像学检查结果等,可对其是否存在外伤性椎间盘突出作出准确的判断。疑为陈旧性椎间盘突出的,也可通过对病史的调查及影像学检查进一步加以甄别。     

法医文证审查100例分析

通过100例法医文证审查案件的分析,发现在目前检察机关文证审查工作中,存在委托数量不足、委托程序不规范、送检材料不全面等问题;在送审鉴定文书中,也存在标准条文掌握不当、鉴定人基础知识欠缺和粗心大意等问题。同时发现,鉴定文书的规范化程度和采信率已经得到有效的提高;且规范化越高的鉴定机构,则其鉴定文书的准确率越高,被采信率也越高。目前有必要加强检察技术部门文证审查的技术水平,进一步积累办案经验,切实增强检察机关的法律监督能力。