Tranarchism: transgender embodiment and destabilization of the state

Transgender, in the simplest sense, is an umbrella term for individuals whose gender identities and/or expressions of those identities fall outside of binary sex/gender identification norms. Though some anarchists live gender-transgressive lives, and some transgender people would call themselves anarchists, literature formally connecting the two modes of being is scarce. Much existing anarchist literature discussing issues of transgender identity attempts to determine whether gender non-conformity itself is inherently anarchic. The state dictates that gender is a necessary means of categorization in order to classify and manage people. Gender transgressors, in undermining a fundamental tool of the state, must then be acting anarchically. I argue, however, that imbuing trans identification with innate anarchic meanings is problematic. As anarchism itself can be manifested and lived in a myriad of highly variant, even contradictory, ways, gender subversion acts as a tool, rather than embodiment, of anarchy. This study uses queer, anarcha-feminist, and post-structuralist frameworks to examine gender transgression as a means of destabilizing the state by challenging state reliance on binary gender classifications. By understanding how transgender people who often interact with state authority for survival and legitimization posses the power to undermine it, anarchism can both empower and be empowered by the movement for gender justice.     

Sex Determination by Discriminant Function Analysis of Lumbar Vertebrae

Sex determination is critical for developing the biological profile of unidentified skeletal remains. When more commonly used elements (os coxa, cranium) for sexing are not available, methods utilizing other skeletal elements are needed. This study aims to assess the degree of sexual dimorphism of the lumbar vertebrae and develop discriminant functions for sex determination from them, using a sample of South African blacks from the Raymond A. Dart Collection (47 males, 51 females). Eleven variables at each lumbar level were subjected to univariate and multivariate discriminant function analyses. Univariate equations produced classification rates ranging from 57.7% to 83.5%, with the highest accuracies associated with dimensions of the vertebral body. Multivariate stepwise analysis generated classification rates ranging from 75.9% to 88.7%. These results are comparable to other methods for sexing the skeleton and indicate that measures of the lumbar vertebrae can be used as an effective tool for sex determination.     

Implant Bone Integration Importance in Forensic Identification

Odontological identification consists of the comparison of antemortem dental information regarding a missing person with postmortem data from an unidentified corpse or human remains. Usually, the comparison concerns morphologic features that the operator chooses among all the visible characteristics because of inter‐individual uniqueness; for this reason, implants can be of enormous assistance. A case concerning the recovery of a burnt oral implant, connected to a bone fragment, among 2780 charred bone fragments, suspected to have belonged to a victim of homicide, is presented to demonstrate that dental implants and their site of bone integration represent a very precious element for personal forensic identification. Because of their morphological invariability in time and because of their morphologic uniqueness, they were used as evidence to associate unidentified human charred remains to a missing person where DNA analysis failed to do so. The case illustrates the fundamental contribution, not yet described in literature, given by the clinical aspects of tooth replacement with dental implants to a forensic discipline. Clinical practitioners should therefore be aware of the great importance of their work and of dental records in a forensic identification scenario.     

基于ITS2条形码序列对新型“香料”毒品植物成分的研究

目的应用DNA条形码片段ITS2对新型毒品样品中的植物成分进行分析。方法提取可疑毒品样本"spike99","K2","7号"中的植物基因组DNA,用ITS2通用引物进行扩增,对扩增产物进行测序,对序列校对拼接,应用BLAST方法在NCBI数据库中比对。结果 "spike 99"、"7号"各得到1条ITS2基因序列,"K2"得到2条ITS2基因序列,分别与紫花苜蓿、大麻、啤酒花、黄蜀葵的ITS2基因序列的同源性为100%。结论应用条形码技术可以成功分析新型毒品中的植物种属,为案件中植物样本的种属鉴定提供方法。     

非制式枪支射击自制底火子弹弹壳痕迹检验

由制式64式手枪改制的枪支,其射击弹头、弹壳上的痕迹位置、形态也因改制手法和部件的不同而存在差异,给检验增加了难度,利用其射击弹头、弹壳上的痕迹对发射枪支进行同一认定具有重要的意义。本案中,笔者在非制式64式手枪的拉壳钩上使用颜色标记,并对标记枪支发射的带有自制底火的改制弹壳进行检验,从而对拉壳钩在异常位置遗留的痕迹进行了确认,为使用异常位置拉壳钩痕迹进行发射枪支的同一认定提供了依据。     

Radiographic Identification Using Midline Medical Sternotomy Wires,

Forensic anthropologists are regularly asked to assist with the identification of unknown individuals using comparative medical radiography. This study addressed the use of midline medical sternotomy wires as a means for personal identification. Antemortem and postmortem radiographic comparisons were completed by 46 professional forensic anthropologists and anthropology graduate students familiar with comparative medical radiography as a technique for assessing identification. Participants were asked to make five radiographic matches from a pool of 20 radiographs. Participants also completed an anonymous survey detailing their education level and experience making radiographic comparisons. Participants were 99.5% accurate in matching the radiographs. Sensitivity was 98.7%, and specificity was 99.7%. Logistic regression analysis found no statistically significant differences in the participants' ability to make a correct match. As the high accuracy rates indicate, the shape, size, and various characteristics of the sternotomy wires are individualizing and can confidently be used when assisting with personal identification cases.     

Identification of Missing Norwegian World War II Soldiers,in Karelia Russia

This article presents the multidisciplinary effort in trying to identify the skeletal remains of 100 Norwegian soldiers serving in the German army, killed in Karelia Russia in 1944, from the recovery of the remains through the final identification using DNA. Of the 150 bone samples sent for DNA testing, 93 DNA profiles were obtained relating to 57 unique individuals. The relatives could not be directly contacted as the soldiers were considered as traitors to Norway; therefore, only 45 reference samples, relating to 42 cases of the missing, were donated. DNA matches for 14 soldiers and 12 additional body part re‐associations for these individuals were found. Another 24 bone samples were re‐associated with 16 individuals, but no familial match was found. More than six decades after the end of WWII, DNA analysis can significantly contribute to the identification of the remains.     

Response Assessment of Thermal Papers from Four Continents to Fingerprint Development by Heat

Latent fingerprint deposits on thermal paper sourced from the U.S., China, the U.K., and Australia have been visualized by heating. U.S. and Chinese sourced paper produced two distinct types of fingerprint development. In one type (type 1), the paper dye colors where the deposit is present (as previously reported) and in the other type (type 2) the ‘inverse’ of this gives paper coloring only in areas not coincident with the deposit. Both development types gave identifiable fingerprints, the majority fading within 24 h of heating. Fingerprint development from U.K. and Australian sourced paper was exclusively type 1 and resistant to fading. Temperatures for fingerprint visualization were higher for U.S. paper (64–71°C) and Chinese paper (75–95°C) than for U.K. and Australian sourced paper (43–50°C). Particularly for Chinese sourced paper, these temperatures were within a few degrees of the normal paper color temperature. A mechanism for type 2 fingerprint development is proposed.     

Identification of Natural Images and Computer‐Generated Graphics Based on Statistical and Textural Features

To discriminate the acquisition pipelines of digital images, a novel scheme for the identification of natural images and computer‐generated graphics is proposed based on statistical and textural features. First, the differences between them are investigated from the view of statistics and texture, and 31 dimensions of feature are acquired for identification. Then, LIBSVM is used for the classification. Finally, the experimental results are presented. The results show that it can achieve an identification accuracy of 97.89% for computer‐generated graphics, and an identification accuracy of 97.75% for natural images. The analyses also demonstrate the proposed method has excellent performance, compared with some existing methods based only on statistical features or other features. The method has a great potential to be implemented for the identification of natural images and computer‐generated graphics.