12 research outputs found

    支撑应力对骨小梁分布的影响及股骨头坏死因素的研究

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    目的通过犬股骨颈骨折螺钉内固定模型的力学检测及组织学观察,从微观角度认识骨小梁重建对股骨头坏死的影响。方法选取18只成年田园犬制作成股骨颈骨折螺钉内固定模型,于造模后12周确认所有股骨颈骨折已愈合随机分为取钉组、取钉植骨组及不取钉组,于造模后20周分离所有犬的股骨并进行股骨颈力学测试及组织学观察。结果取钉组、取钉植骨组及不取钉组断裂点载荷、最大载荷差异有统计学意义(P0.05),不取钉组与取钉植骨组断裂点载荷大于取钉组;不取钉组最大载荷大于取钉植骨组与取钉组,取钉植骨组最大载荷大于取钉组。取钉组、取钉植骨组及不取钉组骨小梁宽度与新鲜骨面积差异有统计学意义(P<0.05);不取钉组骨小梁宽度、新鲜骨面积大于取钉植骨组,且取钉植骨组大于取钉组。结论支撑应力的改变将导致骨小梁重新分布,骨小梁再分布是影响股骨头坏死塌陷的重要因素。福建省卫生系统中青年骨干人才培养项目(2014-ZQNJC-34

    Palladium-Catalyzed Asymmetric Hydrogenolysis of N-Sulfonyl Aminoalcohols via Achiral Enesulfonamide Intermediates.

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    Palladium-Catalyzed Asymmetric Hydrogenolysis of N-Sulfonyl Aminoalcohols via Achiral Enesulfonamide Intermediates

    一种钯催化不对称氢化合成手性含杂原子磺内酰胺的方法

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    一种钯催化不对称氢化合成手性含杂原子磺内酰胺的方法,所用催化剂为钯的手性双磷配合物。反应条件:反应温度为25-60℃,反应压力为 40个大气压,反应时间为12小时,溶剂为2,2,2-三氟乙醇。对N-磺酰氧硫氮杂环五元环状亚胺氢化能得到相应的手性含有氧硫氮杂环磺内酰胺,其对映体过量可达到97%;对苯并N-磺酰氧硫氮杂环六元环状亚胺氢化能得到相应的手性含有氧硫氮杂环苯并磺内酰胺,其对映体过量可达到99%;对苯并N-磺酰氮硫氮杂环六元环状亚胺氢化能得到相应的手性含有氮硫氮杂环苯并磺内酰胺,其对映体过量可达到98%。本发明操作简便实用,对映选择性高,产率好,且反应具有绿色原子经济性,对环境友好。带填

    Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024*

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    Determination of the number of ψ(3686) events taken at BESIII

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    The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

    Amplitude analysis of the decays D0π+ππ+πD^0\rightarrow\pi^+\pi^-\pi^+\pi^- and D0π+ππ0π0D^0\rightarrow\pi^+\pi^-\pi^0\pi0

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    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

    Prediction of Energy Resolution in the JUNO Experiment

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    International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors
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