An Investment Feasibility Study on S Company’s Telemedicine Project of G Province

随着计算机技术、微电子技术、通信技术、网络技术和多媒体技术的迅猛发展，远程医疗（Telemedicine）开始步入人们的生活，它利用计算机、通信和信息系统技术为病人提供快捷、方便、经济和高效的医疗服务。G省远程医疗项目，拟通过S公司国内领先的远程医疗技术，将G省省内医疗资源进行整合，并与S公司已建立的几大远程医疗中心进行联系，引入国内外的医疗专家资源，对G省提供支持，使G省的卫生医疗事业在较短时间内跨上一个新台阶。本文依据可行性研究的理论，从市场、技术、经济等几方面对项目进行可行性分析，认为项目是可行的。本文认为，G省地处西南地区，经济发展相对落后，卫生资源在全国也处于靠后的位置，而且城乡差距...With the rapid development of computer technology, the microelectronics technology, communications, a network technology and multimedia technology, telemedicine beginning to settle into our life, it can providing fast and convenient, economic and efficient medical services for the patient through the technologies systems of computers and communications and information. The telemedicine program in ...学位：工商管理硕士院系专业：管理学院工商管理教育中心（MBA中心）_工商管理硕士(MBA)学号：1792006115141

A New Chromone Derivative Isolated from the Marine Mangrove Endophytic Fungus ZZF41

1个新的苯并-γ-吡喃酮衍生物,3,5-二羟基-2-甲基-6-(3-甲基-2-丁烯基)苯并-γ-吡喃酮(1),以及1个结构独特的环四肽(2)和3个环二肽,从南海红树林内生真菌ZZF41代谢产物中分离得到。它们的结构通过MS、NMR等波谱分析推导确定。化合物1对人鼻咽癌细胞株KB和人鼻咽癌细胞耐药株KBV200显示了微弱的细胞毒活性(IC50均大于50μg/mL),而2对同样细胞株有细胞毒活性(IC50均小于3.56μg/mL)。A new chromone derivative named as 5-dihydroxy-2-methyl-6- （3-methylbut-2- enyl） -4H- chromen-4-one （1）, a novel cyclic tetrapeptide （2） and three cyclic dipeptides were isolated from the mangrove endophytie fungus ZZF41 from the South China Sea. Their structures were characterized by MS, NMR. Compound 1 exhibited weak cytotoxicity towards KB and KBv200 with ICs0values of more 50 μg/mL. Compound 2 showed cytotoxicity towards KB and KBv200 with IC50 values of less 3.56 μg/mL, respectively.国家863计划资助项目(2007AA09Z448);国家自然科学基金资助项目(20772162,20972197);广西自然科学基金资助项目(0832081);广西民族大学科学研究基金资助项目(200702YJ18

中国高等植物受威胁物种名录

2008年,环境保护部和中国科学院联合启动了《中国生物多样性红色名录——高等植物卷》的编制工作。通过这项工作,我们依据IUCN濒危物种红色名录标准对中国野生高等植物的濒危状况进行了全面评估,编制了中国高等植物红色名录。2013年9月,该名录以环境保护部、中国科学院第54号公告形式发布,即《中国生物多样性红色名录—

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

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

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