当前中国私营企业劳动关系研究

国际金融危机凸显了中国私营企业劳动关系的本质——雇佣。但在社会主义市场经济条件下,中国私营企业劳动关系却又呈现出不同于资本主义剥削的社会主义特色。正是这种具有社会主义特色的雇佣,决定了中国私营企业劳动关系的现状是复杂的、不平衡的、然而又不是不可调和的。危机影响下,私营企业劳动关系矛盾正在加剧,构建私营企业和谐劳动关系对劳方、资方及政府三方来说,都是迫在眉睫之事。     

Population genetics data of 23 autosomal STR loci for three Populations in United Arab Emirates

In the present study, forensic parameters were estimated for three populations residing in the United Arab Emirates (UAE) including UAE Arabs, Pakistanis and Indians based on the population data of 23 autosomal short tandem repeats (STRs). The UAE Arabs is a vital population to study due to high rates of consanguineous marriages. Therefore, it is essential to estimate the allele distribution and frequencies within this population. In addition, it is crucial to study the largest communities living in the UAE such as Indians and Pakistanis. A total of 1272 blood samples were collected on FTA® cards, comprising of 571 UAE Arabs, 352 Indians and 349 Pakistanis. All of these samples were amplified directly using Verifiler® Express PCR Amplification Kit that focuses on 23 autosomal STR loci, namely D3S1358, vWA, D16S539, CSF1PO, TPOX, D8S1179, D21S11, D18S51, D2S441, D19S433, TH01, FGA, D22S1045, D5S818, D13S317, D7S820, D10S1248, D1S1656, D12S391, D2S1338, D6S1043, Penta D and Penta E loci. The PCR products were electrophoresed on ABI 3500 Genetic Analyzer and analyzed using GeneMapper ID-X v1.4 software. Arlequin v3.5 and PowerStats software were utilized to determine the forensic parameters and population structure using AMOVA. Gene diversity, ranged from 0.67406 (TPOX) to 0.9226 (Penta E) in the UAE Arabs, 0.69955 (TPOX) to 0.9214 (Penta E) in Indian and 0.69853 (TPOX) to 0.921 (Penta E) in Pakistani population. The most discriminating autosomal STR loci observed was Penta E (PD = 0.985), (PD = 0.986), (PD = 0.986) in the UAE Arabs, Indian and Pakistani population, respectively. The obtained results showed the 23 STR loci had a relatively high genetic variation, confirming the suitability for forensic identification and kinship analysis, in the relevant populations. The significance of this study is to build an allelic frequency database for one of the most powerful commercially available STR amplification kits by using the current forensic workflow.     

对公安机关建立"服务型"外来人口管理工作机制的思考

为了适应发展社会主义民主法制和贯彻依法治国方略的新形势,公安机关对外来人口的管理也应由"防范式"管理向"服务型"管理转变.因此,必须转变观念,强化服务意识,建立法制化、政府化、社会化和信息化的"服务型"外来人口管理工作新机制.     

预防流动人口犯罪保障西部大开发顺利进行

“西部大开发”必将带来人口的大流动,而流动人口的犯罪问题,又会影响社会稳定,阻碍西部地区的开发进程。因此,应加紧制定全国性的流动人口管理法规;在流动人口流入流出重点省市建立针对流动人口的广播电台;建立暂住人口信息化管理系统;加强服务,提高管理水平。     

提高认识 加强对上海外来流动人口的管理

人口流动是市场经济发展和社会进步的必然趋势。外来流动人口对上海的建设和繁荣作出了贡献,但也对社会治安秩序带来了负面影响。上海应根据城市建设发展需要加强对外来流动人口的管理工作,正确处理好敞开城门与设置门槛的关系,搞好流入地和流出地的管理合作,在加强部门管理的同时发挥综合管理优势,使日常管理与集中整治、属地管理与自我管理相结合,做到既依法严格管理,又热情服务,努力提高上海对外来流动人口的管理水平。     

关于流动人口子女教育问题的探讨

流动人口子女的教育问题,是中国教育面临的一大难题,要想解决,牵一发而动全身,涉及到教育、公安、财政、法制等诸多方面深层次的体制问题,确是不易,关键在于尽快改变现行的城市人口二元化管理方式,改善城市外来人员的尴尬现状。     

少数民族人口现代化述论

研究少数民族人口现代化能够加深对民族共同体的认识,丰富人口现代化理论的发展,对民族地区现代化建设具有重要意义。少数民族人口现代化主要包括:少数民族人口生育现代化、少数民族人口素质的现代化、少数民族人口结构的现代化三方面内容,其评价指标体系共有三大内容六项指标。     

试论在和谐社会理念下的流动人口管理问题

在构建社会主义和谐社会的大背景下,公安机关对流动人口的管理也必须以和谐社会理念为指导,改革和创新管理模式。对流动人口实行信息化管理、寻求社会化管理、注重服务性管理以及提倡参与式管理,已成为当前普遍公认的四大改革方向。     

Genetic analysis of 15 STR loci in the population of Zhejiang Province (Southeast China)

Fifteen autosomal STR loci were analyzed from a population sample of 598 unrelated individuals residing in Zhejiang Province. We report allele frequencies distribution and statistical parameters for all 15 STR loci, D8S1179, D21S11, D7S820, CSF1PO, D3S1358, THO1, D13S317, D16S539, D2S1338, D19S433, VWA, TPOX, D18S51, D5S818 and FGA. Allele frequencies, the observed heterozygosity (Ho), the polymorphic information content (PIC), and the probability of paternity exclusion (PE) were calculated. All loci were in accordance with Hardy–Weinberg equilibrium (P > 0.05). Our studied population data were compared with the previously published population data of other ethnic groups or areas in China. Our results of present study were valuable for human identification and paternity tests in Zhejiang Province.