冠心病患者消化道出血后远期心血管不良事件危险因素分析及评分系统的评价

【目的】探讨冠心病患者消化道出血后远期发生心血管不良事件的危险因素及AIMS65、Glasgow-Blatchford（GBS）评分系统预测远期心血管不良事件的能力。【方法】回顾性分析2014年至2016年于湘雅二医院住院的冠心病合并消化道出血病人的临床资料，根据随访时是否发生心血管不良事件分组，分析两组的临床特点、发生终点事件的危险因素及评估两种评分预测效能。【结果】219例病人中，70人（31.9%）发生心血管不良事件，AIMS65及GBS评分系统预测心血管不良事件的ROC分别为0.59（P=0.035）及0.51（P=0.039），单因素分析中年龄、糖尿病、既往心梗、血红蛋白浓度、住院期间是否使用PPI、输血有意义（P<0.05），经多因素分析后血红蛋白浓度、糖尿病病史、心梗病史有统计学意义。【结论】现有的GBS评分系统及AIMS评分系统对冠心病合并消化道出血患者的远期预后的预测功能一般，并且贫血、高血压、糖尿病是这部分病人心血管不良事件发生的独立危险因素

基于“形色APP”筛选广州中心城区致敏花粉植物

目的调查广州中心城区致敏花粉植物的分布情况，为防治季节性过敏性鼻炎（花粉症）和合理的城市绿化建设提供科学的依据。方法使用“形色APP”识别广州中心城区内13个调查区域的植物，筛选出调查区域内可产生致敏花粉的植物。结果共计发现102个科，265个属，311个种植物，有38个属的植物为可产生致敏花粉植物，占比为14.3%；其中，广州本土植物为20个（52.6%），非广州本土植物为18种（47.4%），非本土致敏花粉植物种类将近达广州城区致敏花粉植物种类总数的一半，且每一个属的非本土致敏花粉植物分布密度大于本土致敏花粉植物的。禾本科分布最广，全部调查地点皆可见，发现率为100%，禾本科下分属的致敏花粉植物最多，为6种（15.8%），分别为狗牙根属、稗属、狗尾草属、狼尾草属、芦苇属和马唐属。11个调查地点可见杧果属和羊蹄甲属，发现率为84.6%。结论广州市中心城区出现了不合理的城市绿化的现象，栽植了不少致敏花粉植物，有38个属（14.3%）的植物属于可产生致敏花粉的植物，本土（52.6%）与非本土（47.4%）致敏花粉植物将近各占一半，从源头上增加了气传致敏花粉的种类和数量，可能会导致花粉症的发病风险上升。城市绿化规划时，应减少致敏花粉植物的栽植

Prediction of Energy Resolution in the JUNO Experiment

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

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

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 $p\to \bar\nu K^+$ 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 $p\to \bar\nu K^+$ 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 $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

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

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 $p\to \bar{\nu} K^+$ 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 $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

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

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^