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  1. Fulltext Did the cyberspace foster the entrepreneurship of women with children in rural China?
    Shao K, Ma R, Zhao L, Wang K, Kamber J
    Front Psychol, 2022;13:1039108.
    PMID: 36389586 DOI: 10.3389/fpsyg.2022.1039108
    Female-entrepreneurship plays a significantly important role in rural areas of China today. In fact, it is a driving force behind inclusive economic development of the country as a whole. However, notably very little literature out there has focused on the impact of how widespread usage of information technology tools affects the mothers entrepreneurship in the outskirt regions. Here, in this paper, the authors attempt to explore the finer details of such an impact by utilizing the data from the 2017 China Integrated Social Survey; along with the IV-Probit model to explore the transmission mechanism. Interestingly enough, it was discovered that Internet applications and tools do indeed increase entrepreneurship among women with children by a roughly 7.88%. In addition, this paper finds that the utilization of such "InfoTech" promote a continuous progress in entrepreneurship among those women with children who endeavor to start a self-managed enterprise in the less developed areas. Lastly, when looking the analysis of the transmission mechanism, this paper found that the role of Internet-usage in promoting rural mothers entrepreneurship was mainly through three factors - the gender equality effect, the information learning effect, and the financing effect. This accumulated data will be thoroughly presented here in the ensuing sections.
  2. Fulltext Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4
    Ma RC, Hu C, Tam CH, Zhang R, Kwan P, Leung TF, et al.
    Diabetologia, 2013 Jun;56(6):1291-305.
    PMID: 23532257 DOI: 10.1007/s00125-013-2874-4
    AIMS/HYPOTHESIS: Most genetic variants identified for type 2 diabetes have been discovered in European populations. We performed genome-wide association studies (GWAS) in a Chinese population with the aim of identifying novel variants for type 2 diabetes in Asians.

    METHODS: We performed a meta-analysis of three GWAS comprising 684 patients with type 2 diabetes and 955 controls of Southern Han Chinese descent. We followed up the top signals in two independent Southern Han Chinese cohorts (totalling 10,383 cases and 6,974 controls), and performed in silico replication in multiple populations.

    RESULTS: We identified CDKN2A/B and four novel type 2 diabetes association signals with p 

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