8 research outputs found

    Research on facial spectrum and color characteristics of five-zang disease status

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    目的:观察疾病状态人群面色光谱色度情况,为疾病状态五脏病评价提供可供依据。方法:采用日产柯尼卡美能达CM-2600d分光测色仪,观测健康组(183例)、疾病组(370例)额部、眉间部、鼻部、下颏、左右颧部、左右眼胞8处明亮度l、红光度A、黄光度b、饱和度C值及波长段(400~700nM)下的面色反射率值等指标,并据中医理论对疾病状态进行五脏病位分析。结果:疾病组l值显著低于健康组,b、C值均显著高于健康组;疾病组各波长段下反射率显著低于健康状态组(P<0.05)。疾病组除左右眼胞外的6个位点间的l、A、b、C值有显著性差异(P<0.05),不同点位有其特异性的色度变化特征。疾病组五脏病各组光谱色度特征比较有显著差异(P<0.05),结果与中医面部脏腑五色理论在一定程度上相符合。结论:运用光谱色度测定方法,可以作为诊断疾病状态五脏病的重要指标。Objective: To observe disease status facial spectrum and color,providing good quantitative basis for disease assessment.Methods: We gathered the facial color information in health(183) and disease groups(370) including L,a,b,C values and reflection of different wavelengths in 400-700nm with CM-2600D spectral photometric color measuring instrument on 8 points including frontal part,glabellas nose,mandible two cheeks and eye cells and analysized disease status five-zang positioning according to the principle of TCM syndrome differentiation.Results: L value of Disease group was lower than health status group and b,C values were higher than health status group,reflection of different wavelengths of disease group were lower than health group(P<0.05).6 points in disease group between loci L,a,b,C values with varying degrees of significant differences(P<0.05).Different point had its own specificity facial complexion variation characteristics.Facial spectrum and color of each five-zang disease group had significant difference through comparion of facial complexion.To a certain extent the result was consistent with TCM facial organs Five-color theory.Conclusion: There existed diagnostic value in distinguishing five-zang disease status in some degree by spectral photometric color measuring technique.国家科技支撑计划(No.2012BAI37B06);国家高技术研究发展计划(863计划)资助项目(No.2008AA02Z407);国家自然科学基金资助项目(No.30873463;No.81173200);国家自然基金青年项目(No.81102558);上海市重点学科(第三期)建设项目(No.S30302;No.S30303)---

    Differential Proteomics Studies on Thermotolerance of Agaricus bisporus

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    通讯作者: [email protected][中文文摘]利用蛋白质组学和荧光定量PCR方法,研究双孢蘑菇(Agaricus bisporusLange(Imbach))02菌株在常温与高温胁迫下的蛋白质表达差异,发现了6个差异蛋白质点,经NCBI数据库比对分析,表明6个差异蛋白质分别为HSP70家族的HSS1热激蛋白、异柠檬酸裂解酶、细胞色素P450单氧化酶及3个未知蛋白质.这些蛋白质在双孢蘑菇受热胁迫下具有保护自身稳定的功能.[英文文摘]Agaricus bisporus is a kind of cultivated edible mushroom which has high economic value and important ecology significance.Environment temperature is the main restrained factor in its development,and this greatly limits its cultivation season.In this study,2D-eletrophoresis and real-time PCR are employed to discover the proteomic difference in Agaricus bisporus 02 strain after high temperature induction,and 6 differential expressed protein spots were finally obtained.Compared with the NCBI data base,spot 1 is the heat shock protein,spot 2 is isocitrately ase and spot 3 is cytochrome P450 monooxygenase.The other three spots are novel.Presumably, those proteins confer the thermo tolerance on strain 02 under high temperature.国家基础科学人才培养基金(J0630649);国家自然科学基金(30570254)资

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

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    We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

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

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    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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    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^

    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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