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排序方式: 共有79条查询结果,搜索用时 218 毫秒
1.
目的探讨高频超声检查在周围神经损伤鉴定中应用的价值。方法收集38例锐器伤、钝挫伤、骨折及撞击造成的单侧肢体外伤病例,应用东芝Aplio 500型彩色多普勒超声诊断仪进行高频超声检查,将其特征性表现与30例正常周围神经的高频超声图表现进行对比分析。结果经高频超声检查,确诊38例周围神经损伤中发生于颈部5例、下肢5例,上肢27例(肘部以上3例、以下24例)。损伤类型包括卡压性损伤8例、创伤性神经瘤28例、神经完全断裂2例。特征性表现为:卡压性损伤神经受压处变细,近端神经节段性增粗;创伤性神经瘤与神经干相连的梭形增粗段,增粗段神经外膜的线性强回声中断,内部回声紊乱;神经完全断裂表现为神经外膜强回声线与神经纤维低回声束完全中断,断端两侧均呈梭形瘤样改变。结论高频超声能够明确周围神经损伤类型及发生节段,可为法医学人体损伤程度鉴定提供有价值的参考依据。 相似文献
2.
目的 探讨唾液酯酶( Set)多态性在法医学亲权鉴定和个体识别方面的应用价值。方法 应用聚丙烯酰胺凝胶盘状电泳及固蓝 RR染色方法,调查了 114名中国人 Set的表型分布及基因频率,用χ 2检验进行统计学分析。结果 中国人酯酶表型频率 Set F 22.81%, Set FS 50.88%, Set S 26.31% ;基因频率为 SetF 0.482 5, SetS 0.517 5;非父排除机率为 0.187 5,个体识别率为 0.619 9。结论 Set有较高的父权排除率和个体识别率,可作为法医学亲权鉴定和个体识别的重要标记系统之一。 相似文献
3.
壮族人群3个STR基因座基因频率分布及其法医学应用 总被引:6,自引:0,他引:6
研究3个STR基因座(D21S11、HumFGA、D19S253)在广西壮族人群中的基因频率分布及其在实际检案中的应用价值。以自制等位基因Ladder样品作为标准对照,用PCR结合PAGE技术对3个STR基因座的扩增产物进行分型。结果显示:D21S11基因座有14个等位基因,有44个基因型;HumFGA基因座有15个等位基因,40个基因型;D195253基因座有9个等位基因,23个基因型。经检验,3个STR基因座基因型分布均符合Hardy-Weinberg平衡,累计个体识别力(DP)为0.9995。3个STR基因座在壮族人群属高识别力遗传标记系统,在法医学个体识别及亲权鉴定方面有重要价值。 相似文献
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POPULATIONS: This study reports the genetic polymorphism observed at 15 short tandem repeat loci D3S1358, TH01, D21S11, D18S51, D5S818, D13S317, D7S820, D16S539, CSF1PO, vWA, D8S1179, TPOX, D2S1338, D19S433, and FGA in four aboriginal populations of Bengal. The analysis was performed to decipher the suitability of CODIS as well as six other highly polymorphic and unlinked markers in Forensic Testing. Studied populations include four tribes: Karmali, Kora, Maheli, and Lodha. 相似文献
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《Digital Investigation》2014,11(4):323-335
The battle between malware developers and security analysts continues, and the number of malware and malware variants keeps increasing every year. Automated malware generation tools and various detection evasion techniques are also developed every year. To catch up with the advance of malware development technologies, malware analysis techniques need to be advanced to help security analysts. In this paper, we propose a malware analysis method to categorize malware using dynamic mnemonic frequencies. We also proposed a redundancy filtering technique to alleviate drawbacks of dynamic analysis. Experimental results show that our proposed method can categorize malware and can reduce storage overheads of dynamic analysis. 相似文献
8.
中国古代侦查谋略探源 总被引:1,自引:0,他引:1
马洪根 《中国人民公安大学学报(社会科学版)》2008,(5)
中国古代侦查谋略极为发达,主要原因有三个方面:一是古典哲学的产生为侦查谋略的发展奠定了理论基础;二是权谋之争和频繁的战争为侦查谋略的运用提供了实践基础;三是后人对前代的学习与继承是侦查谋略发展的力量之源. 相似文献
9.
《Forensic Science International: Genetics Supplement Series》2013,4(1):e11-e12
Acre was the last state of Brazil to be inhabited by non-indigenous individuals. The aim of this study was to calculate the allele frequencies of 15 STR loci in 503 unrelated individuals living in Acre, as well as to estimate statistical parameters of forensic interest. The Hardy–Weinberg equilibrium test performed in the overall sample, as well as population comparisons between sub-samples from the five regions in Acre did not reveal the presence of population substructure. This is the first report of STR data in this population and the results showed that a single database is suitable for all the regions analyzed. 相似文献
10.
《Forensic Science International: Genetics Supplement Series》2013,4(1):e188-e189
Allele frequencies of 30 InDel markers previously selected and validated for forensic purpose were assessed in 419 unrelated individuals originating from five different populations of Chinese Han, Chinese Hui, Uighur, Mongolian and Tibetan in P.R. China. Hardy–Weinberg equilibrium tests and linkage disequilibrium analysis were performed and the results showed that allele frequency distributions of the 30 InDel markers had meet the genetic equilibrium in all of the five populations and the InDel markers on same chromosome did not generate any linkage block. Analysis of molecular variance (AMOVA) indicated that genetic variation among the 5 studied populations represent only 4.00% of the total genetic diversity. We observed the cumulative power of discrimination (CPD) for each studied population was 0.99999999999841 in Chinese Han population, 0.99999999999690 in Chinese Hui population, 0.99999999999709 in Uighur population, 0.99999999999772 in Mongolian population and 0.99999999999854 in Tibetan population. 相似文献