Topics in terrorism research: reviewing trends and gaps, 2007-2016

ABSTRACT

The topical focus of research on terrorism has frequently been critiqued for being too narrow, too event-driven and too strongly tied to governments’ counterterrorism policies. This article uses keyword analysis to assess the degree to which these issues remain present in the literature on terrorism as represented by the 3.442 articles published between 2007 and 2016 in nine of the field’s leading academic journals. Several fluctuations notwithstanding, research on terrorism has retained a strong focus on al-Qaeda, jihadist terrorism more generally, and the geographic areas most strongly associated with this type of terrorist violence. Results also indicate that the field remains event-driven and consistently underemphasizes state terrorism as well as non-jihadist terrorism, such as that perpetrated by right-wing extremists.     

An STR database on the Volga-Ural population

This work develops a reference STR database on the Volga-Ural population, Russia, comprised of 640 individuals that were sampled from eight ethnic groups (Finno-Ugric Mari, Mordva-Moksha, Mordva-Erzja, Komi-Permjak, and Udmurt, and Turkic-speaking Bashkir, Tatar-Mishary, and Chuvash) and typed with 10 autosomal STR markers: TH01, CSF1P0, FGA, vWA, D3S1358, TPOX, D16S539, D8S1179, D13S317, FES. The groups differentiate in allele frequencies, and therefore we computed θ-values between allele frequencies in each ethnic groups and those in the database as a measure of their differentiation. Nevertheless, the Volga-Ural ethnic groups form a relatively compact cluster that greatly deviate from the Romanic Moldovans and the Turkic Yakuts, taken for comparison, and are closer to the Slavic Russians, Belarusians, and Ukrainians, although significantly differ from those as well.     

Developing STR databases on structured populations: The native South Siberian population versus the Russian population

Developing a forensic DNA database on a population that consists of local ethnic groups separated by physical and cultural barriers is questionable as it can be genetically subdivided. On the other side, small sizes of ethnic groups, especially in alpine regions where they are sub-structured further into small villages, prevent collecting a large sample from each ethnic group. For such situations, we suggest to obtain both a total population database on allele frequencies across ethnic groups and a list of θ-values between the groups and the total data. We have genotyped 558 individuals from the native population of South Siberia, consisting of nine ethnic groups, at 17 autosomal STR loci of the kit packages AmpFlSTR SGM Plus и AmpFlSTR Profiler Plus. The groups differentiate from each other with average θ-values of around 1.1%, and some reach up to three to four percent at certain loci. There exists between-village differentiation as well. Therefore, a database for the population of South Siberia is composed of data on allele frequencies in the pool of ethnic groups and data on θ-values that indicate variation in allele frequencies across the groups. Comparison to additional data on northeastern Asia (the Chukchi and Koryak) shows that differentiation in allele frequencies among small groups that are separated by large geographic distance can be even greater. In contrast, populations of Russians that live in large cities of the European part of Russia are homogeneous in allele frequencies, despite large geographic distance between them, and thus can be described by a database on allele frequencies alone, without any specific information on θ-values.     

面向课程组的教学资源管理平台设计

提高教学质量一直是高校的中心问题,对教学资源进行综合管理是提高教学质量的一个重要环节,也是我们教学改革的一个重要内容。教学资源主要包括课件、讲稿、试题、参考资料、教学文件,优秀的学生作业、作品和毕业设计。基于Web方式的教学资源综合管理主要包括两方面的内容:课程组教学资源建设(收集和整理)和课程组教学资源管理平台建设。面向课程组的教学资源管理平台建设主要利用计算机和Web系统。     

数据库法律保护的研究

数据库法律保护是数据库产业及信息产业发展的重要因素。探讨国外数据库法律保护模式,针对我国数据库法律保护存在的问题提出相应的完善对策,是促进和保障我国信息产业可持续发展的现实需要。     

Average Probability that a "Cold Hit" in a DNA Database Search Results in an Erroneous Attribution

Abstract:  We consider a hypothetical series of cases in which the DNA profile of a crime-scene sample is found to match a known profile in a DNA database (i.e., a "cold hit"), resulting in the identification of a suspect based only on genetic evidence. We show that the average probability that there is another person in the population whose profile matches the crime-scene sample but who is not in the database is approximately 2( N  −  d ) p _A , where N is the number of individuals in the population, d is the number of profiles in the database, and p _A is the average match probability (AMP) for the population. The AMP is estimated by computing the average of the probabilities that two individuals in the population have the same profile. We show further that if a priori each individual in the population is equally likely to have left the crime-scene sample, then the average probability that the database search attributes the crime-scene sample to a wrong person is ( N  −  d ) p _A .     

中国法庭科学DNA数据库

本文综述了中国法庭科学DNA数据库的建立和发展过程、DNA数据库结构、内容、特点、作用以及存在的问题、发展方向、展望,目的是为如何进一步建设好具有中国特色的DNA数据库提供借鉴。     

纤维物证检验技术的现状及发展

本文概述了国内外纤维物证的发现、提取和检验方法及研究进展,并针对我国不少地区刑侦部门在现场勘查和物证检验中对纤维物证重视不够等问题,提出我国纤维物证研究应以现场发现方法、综合检验技术研究及数据库建设为主要方向。     

利用Q-TOFLC/MS建立二级谱图数据库快速检测90种农药的初步研究

目的建立90种农药的数据库（含二级谱图）,以达到快速筛选检验该范围内的未知样品目的。方法优化一种Q-TOF LC/MS分析条件,将90种农药分别依次进行Q-TOF LC/MS-MS二级谱图分析,利用PCDL软件建立数据库。并同时实验了血样中10种不同浓度农药（100ng/mL、500ng/mL）的添加实验,对建库方法进行了验证。结果阳性识别率在80%以上。结论本方法简便灵敏、快速实用。     

The Antwerp COR*-database: A unique Flemish source for historical-demographic research

This note describes the origin, the history, structure and characteristics of a recently constructed Flemish (the Northern, Dutch-speaking part of Belgium) historical-demographic database. The so-called Antwerp COR*-database offers a unique combination of features: it spans nearly seven decades (1846 to 1920) and consists of information drawn from the population registers and the vital registration records (birth, marriage, and death) of the whole district of Antwerp. Every person whose family name starts with the letter combination COR* is selected in the database. The database covers three linked generations and contains micro-data on the individual level (life courses), intermediary data on family patterns, and macro-data on ecological characteristics.