Triboelectric Nanogenerator Structure Designs and Mechanical Energy Harvesting Applications

随着环境污染、能源危机等社会问题的加剧，发展新型、高效且能够直接从环境中收集能量的新能源技术成为当今科学技术发展的一个重要课题。在各式各样的能量来源中，机械能由于其广泛存在于日常生活环境中，已经成为最受人们关注的能源之一。基于上述背景，纳米发电机——一种利用纳米材料和纳米结构收集机械能并转化成电能的新技术——于2006年被美国佐治亚理工学院王中林院士课题组首次提出，并快速发展成为一种高效且具有广泛实际应用前景的新能源技术。近年来，随着纳米发电机技术的发展，该领域的一个重要分支——摩擦纳米发电机于2012年被首次提出并受到广泛关注。该器件的工作原理是基于接触摩擦起电效应和静电感应原理的耦合作用来...With the increasing threat of environmental pollution and energy crisis, it is becoming an increasingly urgent necessity to develop novel and efficient technologies for harvesting energy from ambient environment. Among various energy sources, mechanical energy is one of the most effort-attracting candidates because it universally exists in our living environment, but usually goes to waste. In this...学位：工学博士院系专业：物理与机电工程学院_微电子学与固体电子学学号：1982009015367

C反应蛋白和嗜酸性粒细胞百分比在青年输血不良反应危险因素分析中的作用

目的探讨青年患者发生输血不良事件的危险因素及与外周血C反应蛋白（CRP）及嗜酸性粒细胞百分比（EO%）的关系。方法收集2019年1月-2020年12月发生输血不良反应的66例青年患者资料，做为观察组；对照组则随机选取未发生输血反应，且入院年月、科室、疾病、血制品类型、性别与观察组分别对应的66例青年患者。分析两组患者年龄、输血史、过敏史、输血前静脉血CRP及EO%水平，绘制受试者工作特征（ROC）曲线评价输血前静脉血CRP与EO%对输血不良反应预测的效能，并使用回归分析对危险因素进一步验证。结果与对照组患者相比，观察组发生非溶血性发热反应（FNHTR）患者输血前CRP更高；观察组发生过敏性输血反应（ATR）患者输血前CRP更高，有输血史者占比更高，输血前EO%更低，差异有统计学意义（P＜0. 05）。输入不同血液品种对发生ATR和FNHTR具有差异性（P＜0. 05）。输血前CRP对诊断 FNHTR的ROC曲线下面积0.889，最佳截断值18.05 mg/L（P＜0. 05）；输血前CRP对诊断 ATR 的ROC 曲线下面积0.749，最佳截断值为17.6 mg/L（P＜0. 05）。结论输血前C反应蛋白水平是青年患者发生 FNHTR和ATR的独立危险因素，对输血不良反应的发生具有诊断价值；EO%对输血不良反应的预测价值不足

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

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