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29 results

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  • OHNO–ZAGIER TYPE RELATIONS FOR MULTIPLE t-VALUES
  • ZHONGHUA LI, YUTONG SONG
  • Journal: Bulletin of the Australian Mathematical Society , First View
  • Published online by Cambridge University Press: 11 November 2022, pp. 1-12
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    We study Ohno–Zagier type relations for multiple t-values and multiple t-star values. We represent the generating function of sums of multiple t-(star) values with fixed weight, depth and height in terms of the generalised hypergeometric function $\,_3F_2$ . As applications, we get a formula for the generating function of sums of multiple t-(star) values of maximal height and a weighted sum formula for sums of multiple t-(star) values with fixed weight and depth.

  • Effect of NANOG overexpression on porcine embryonic development and pluripotent embryonic stem cell formation in vitro
  • Gerelchimeg Bou, Shimeng Guo, Jia Guo, Zhuang Chai, Jianchao Zhao, Yan Li, Zhonghua Liu
  • Journal: Zygote / Volume 30 / Issue 3 / June 2022
  • Published online by Cambridge University Press: 09 December 2021, pp. 324-329
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    The efficiency of establishing pig pluripotent embryonic stem cell clones from blastocysts is still low. The transcription factor Nanog plays an important role in maintaining the pluripotency of mouse and human embryonic stem cells. Adequate activation of Nanog has been reported to increase the efficiency of establishing mouse embryonic stem cells from 3.5 day embryos. In mouse, Nanog starts to be strongly expressed as early as the morula stage, whereas in porcine NANOG starts to be strongly expressed by the late blastocyst stage. Therefore, here we investigated both the effect of expressing NANOG on porcine embryos early from the morula stage and the efficiency of porcine pluripotent embryonic stem cell clone formation. Compared with intact porcine embryos, NANOG overexpression induced a lower blastocyst rate, and did not show any advantages for embryo development and pluripotent embryonic stem cell line formation. These results indicated that, although NANOG is important pluripotent factor, NANOG overexpression is unnecessary for the initial formation of porcine pluripotent embryonic stem cell clones in vitro.

  • Protocol for a pharmacogenomic study on individualised antipsychotic drug treatment for patients with schizophrenia
  • Yi Su, Hao Yu, Zhiren Wang, Sha Liu, Liansheng Zhao, Yingmei Fu, Yongfeng Yang, Bo Du, Fuquan Zhang, Xiangrong Zhang, Manli Huang, Cailan Hou, Guoping Huang, Zhonghua Su, Mao Peng, Ran Yan, Yuyanan Zhang, Hao Yan, Lifang Wang, Tianlan Lu, Fujun Jia, Keqing Li, Luxian Lv, Hongxing Wang, Shunying Yu, Qiang Wang, Yunlong Tan, Yong Xu, Dai Zhang, Weihua Yue
  • Journal: BJPsych Open / Volume 7 / Issue 4 / July 2021
  • Published online by Cambridge University Press: 29 June 2021, e121
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    Background

    Schizophrenia is a severe and complex psychiatric disorder that needs treatment based on extensive experience. Antipsychotic drugs have already become the cornerstone of the treatment for schizophrenia; however, the therapeutic effect is of significant variability among patients, and only around a third of patients with schizophrenia show good efficacy. Meanwhile, drug-induced metabolic syndrome and other side-effects significantly affect treatment adherence and prognosis. Therefore, strategies for drug selection are desperately needed. In this study, we will perform pharmacogenomics research and set up an individualised preferred treatment prediction model.

    Aims

    We aim to create a standard clinical cohort, with multidimensional index assessment of antipsychotic treatment for patients with schizophrenia.

    Method

    This trial is designed as a randomised clinical trial comparing treatment with different kinds of antipsychotics. A total sample of 2000 patients with schizophrenia will be recruited from in-patient units from five clinical research centres. Using a computer-generated program, the participants will be randomly assigned to four treatment groups: aripiprazole, olanzapine, quetiapine and risperidone. The primary outcomes will be measured as changes in the Positive and Negative Syndrome Scale of schizophrenia, which reflects the efficacy. Secondary outcomes include the measure of side-effects, such as metabolic syndromes. The efficacy evaluation and side-effects assessment will be performed at baseline, 2 weeks, 6 weeks and 3 months.

    Results

    This trial will assess the efficacy and side effects of antipsychotics and create a standard clinical cohort with a multi-dimensional index assessment of antipsychotic treatment for schizophrenia patients.

    Conclusion

    This study aims to set up an individualized preferred treatment prediction model through the genetic analysis of patients using different kinds of antipsychotics.

  • 1 - Introduction
  • Zhilin Li, North Carolina State University, Zhonghua Qiao, Hong Kong Polytechnic University, Tao Tang
  • Book: Numerical Solution of Differential Equations
  • Published online: 17 November 2017
  • Print publication: 30 November 2017, pp 1-6
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