Web Service Technology Influences the Future of software company

Web服务是近几年出现的新技术，2002年已开始进入应用起步阶段，它将是未来软件的基本表现形态。目前，全球已经进入了信息化普遍应用的阶段，软件企业是最重要的信息技术推动者与建设者之一。本文对Web服务可能给软件企业造成的冲击与影响作预测与全面的分析，为软件企业因应Web服务带来的挑战制定长远策略提供参考，具有一定的现实意义。本文首先从Web服务的定义开始，对其典型特征、成长性问题等进行分析，介绍并分析了Amazon.Com的Web服务案例。然后从Web服务对市场及软件需求的影响、对软件企业供应链的影响、对软件企业运作管理的影响、对软件企业竞争战略的影响等方面进行仔细分析。最后提出软件企业应对W...Web Service is the latest technology that began to step into fast and widely implementation in 2002. It may be the basic presentation of the software in the future. It is realistic significant to analyze the influence on Software Company by Web Service technology under the assumption that Web Service will be used everywhere because software company is one of the most important power promoting the ...学位：管理学硕士院系专业：管理学院企业管理系_企业管理(含财务管理、市场营销、人力资源管理)学号：K2000754

Artificial compound eye: a survey of the state-of-the-art

An artificial compound eye system is the bionic system of natural compound eyes with much wider field-of-view, better capacity to detect moving objects and higher sensitivity to light intensity than ordinary single-aperture eyes. In recent years, renewed attention has been paid to the artificial compound eyes, due to their better characteristics inheriting from insect compound eyes than ordinary optical imaging systems. This paper provides a comprehensive survey of the state-of-the-art work on artificial compound eyes. This review starts from natural compound eyes to artificial compound eyes including their system design, theoretical development and applications. The survey of artificial compound eyes is developed in terms of two main types: planar and curved artificial compound eyes. Finally, the most promising future research developments are highlighted

Expert consensus on multimodal MRI sequence parameters and scanning protocols for studies of brain and cognitive development in school‑aged children

当代多模态MRI技术的迅速发展，为精准刻画儿童青少年脑发育规律与个体差异、揭示 脑发育异常疾病的神经机制，提供了重要影像研究工具，带来了儿童脑发育影像学这一脑科学前沿方 向。然而，面向学龄儿童（6~18 岁）的高质量多模态 MRI 脑影像序列参数设置与扫描采集极具挑战 性，严重阻碍了国内脑发育相关影像研究的开展与推广。为此，国内相关领域的多家权威机构和专家 团队，依托科技部科技创新2030&ldquo; 脑科学与类脑研究&rdquo;重大项目&ldquo;中国学龄儿童脑智队列&rdquo;计划，通过 调研全国 30余家机构 MRI设备现况，以及国际大型儿童脑发育队列研究序列参数的优缺点，共同制 订了《面向学龄儿童脑智发育研究的多模态MRI脑影像序列参数与扫描规范专家共识》，以期规范国 内不同规模、不同类型队列相关脑发育影像研究中的序列参数设计与扫描操作，提升儿童脑影像扫描成功率与影像质量，以及结果可比性与稳定性，推动我国儿童脑智发育基础与临床研究的整体进步。</p

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