6 research outputs found

    Evaluation on difference of therapeutic efficacy of Jiawei Xiaoyao Granules and Pills in treatment of emotional disorder during perimenopause based on Greene Climacteric Scale

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    目的:在前期加味逍遥丸治疗围绝经期情绪障碍具有比较优势的基础上,基于grEEnE量表探讨其颗粒剂和丸剂不同剂型间疗效差异。方法:经筛选后患有情绪障碍的围绝经期女性75例随机等分为A、b、C3组,分别对应采用帕罗西汀、加味逍遥丸和加味逍遥颗粒剂治疗8周。所有患者在治疗前后各进行1次grEEnE及其子因子评定,并在观察期结束时进行TESS评定。结果:grEEnE总分差及其焦虑、抑郁因子分差:3种治疗方法均能改善,且相互间无显著差异;grEEnE性因子和血管因子分差:后二组均优于A组(P<0.01);TESS评分:与A组比较,b、C组均有统计学意义(P<0.01),评分均小于A组,且后二组间无显著差异。结论:加味逍遥的2种剂型间疗效无显著差异,考虑到帕罗西汀的不良反应,治疗该病加味逍遥的2种剂型都值得推荐。Objective: To investigate the difference in therapeutic efficacy between Jiawei Xiaoyao Granules and pills based on the preliminary research of treating emotional disorder during perimenopause with Jiawei Xiaoyao Pills and Greene Climacteric Scale.Methods: 75 female patients with emotional disorder during perimenopause were slected and randomly divided into 3 groups as group A, B and C.Patients in the 3 groups were treated with paroxetine, Jiawei Xiaoyao Pills and Jiawei Xiaoyao Granules respectively for 8 weeks.Greene and Greene factors assessment were carried out in all the patients before and after treatment, and the TESS assessment was carried out at the end of the observation period.Results: The three therapies all could improve the gap in total score of Greene and its factors as anxiety and depressed, and the difference among these three groups was no significant.The factors of Greene and gap in score of vascular factors of group B and C was better than that of group A(P<0.01).The difference in TESS score between group A and group B and C was significant(P<0.01), while the difference between group B and group C was not significant.Conclusion: The difference in curative effect between the two formulations was not significant.Because of the adverse reactions of paroxetine, in the treatment of emotional disorder during perimenopause, the two formulations of Jiawei Xiaoyao Powder were worth to be recommended.国家自然科学青年基金项目(No.81302960)~

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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