X Company compensation System Redesign

薪酬体系是现代人力资源管理体系的前提和重要组成部分。合理有效的薪酬体系可以有效地激励员工的积极性和创造力，从而提高企业的整体竞争能力和可持续性发展能力。薪酬体系是员工个人行为导向的目标和工作动机产生的源泉，因而也是决定企业人力资源激励有效性的关键。因此，企业薪酬体系对企业经营发展有着非常重要的影响与制约。如何通过薪酬体系的再设计，制定与市场经济发展相适应的薪酬体系，在日益激烈的人才竞争中获得优势，以适应企业战略和经营发展的要求，是企业特别是国有企业面临的重大课题。 本文以厦门X建设集团有限公司这家典型的国有企业为研究对象，通过信息收集和问卷调查等手段，对企业目前的薪酬体系状况进行了剖析，发现...Compensation system is the key part of human resource management. A reasonable and effective compensation system can arouse the staff’s enthusiasm and the creation, Thereby improving enterprise’s capability of competition and continuable development.Compensation system is the guide of the staff’s personal action and the resource of the job motivation, therfore,which is also the key to determine th...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：1792006115155

中国式学科评估:问题与出路

今年四月份,教育部学位与研究生教育发展中心(以下简称"教育部学位中心")邀请全国学位授予单位参加全国第四轮一级学科整体水平评估。随之,各个高校展开了一场大规模、高级别的学科评估申报及材料提交总动员。第四轮学科评估自发布起也引发了学界的广泛关注和热烈讨论。高等教育是中国崛起的思想发动机,关涉民族复兴的未来,而学科评估是近年来中国高等教育学科建设成就的集中展示,其意义和影响可谓深远。为了更好推进学科评估科学进行,特别是促进高等教育健康发展,《探索与争鸣》编辑部邀请全国

结合HJ1A/B卫星数据和生态因子的籽粒品质监测/Monitoring wheat quality based on HJ1A/B remote sensing data and ecological factors[J]

该研究引入温度、降水、太阳辐射和土壤肥力等影响小麦籽粒蛋白质含量的重要生态子,结合感数据进行小麦籽粒蛋白质含量监测.以北京郊区的小麦种植区为实验区,获取多时相的HJ1A/B卫星数据,多个气象站点全生育期气象数据和土壤养分数据,以及收获时小麦籽粒蛋白质含量.分别构建了感光谱蛋白质含量模型、生态子籽粒蛋白质含量模型、光谱生态子蛋白质含量模型.结果表明:北京地区冬小麦以5月11日(开花期左右)NDVIgreen 值与籽粒蛋白质含量相关性最好,达到极显著水平,此该时期为冬小麦籽粒蛋白质含量感监测的最佳时相,并将利用该时期的NDVIgreen参与光谱蛋白质含量模型、光谱生态子蛋白质含量模型的构建.对光谱蛋白质含量模型、生态子籽粒蛋白质含量模型、光谱生态子蛋白质含量模型进行F检验,表明各模型均达到极显著水平,3种模型的决定系数分别为:0.782,0.635,0.843,相对误差分别为:0.151,0.123,0.049.说明综合利用感数据和生态子的监测结果比单独利用感数据或单独利用生态子的精度高.引入生态子的小麦籽粒蛋白质含量感监测有助提高监测精度,并增加监测模型的农业机理

荒漠地区公路建设环境保护与生态恢复技术

《荒漠地区公路建设环境保护与生态恢复技术》项目组通过资料收集、理论分析、室内外试验和工程实践,系统开展了荒漠地区公路建设与自然环境相互影响、荒漠地区公路建设的生态环境敏感性、荒漠地区公路建设环境保护与生态恢复技术集成以及典型区域公路建设环保与生态建设示范四方面研究,取得了如下主要创新性成果： 1．分析揭示了荒漠地区公路与环境的相互影响关系,建立了公路建设环境保护与生态恢复的基础平台。 2. 提出了荒漠地区公路路域生态功能重要性、环境敏感性和景观类型区划的原则与方法,建立了相应的区划体系。 3．构建了荒漠地区公路路域生态修复技术评价指标体系和评价数学模型。 4．提出了荒漠..

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

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^

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

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