12 research outputs found

    The strategic cost management of real estate development company based on value chain integration

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    随着我国经济体制改革的逐步深化以及产业转型升级,房地产开发企业在经历了黄金十年后,已经逐步淡出暴利行列。在机遇与挑战并存的背景下,对房地产企业的成本管理提出了更高的要求。 战略成本管理从战略的角度出发,对房地产企业生存发展等因素进行全面的审视,能够兼顾企业发展的隐性成本管理,通过系统、长期的谋划来持续降低成本进而获取长期的成本优势,最终取得竞争优势。房地产企业进行战略成本管理扩大了成本管理的范围,相比传统的成本管理视野更广泛,能够用战略的手段降低成本,提高企业核心竞争力,同时兼顾到企业的发展阶段和发展目标。 房地产企业实施战略成本管理,可以选择以价值链分析为工具,分别对内部价值链、行业价值...With the gradual deepening of China's economic system reform and industrial restructuring and upgrading, real estate development enterprises has gradually faded out of the ranks of the profits after ten years of development of gold. Under the background of the coexistence of opportunities and challenges, the cost management of real estate enterprises put forward higher requirements. Strategic co...学位:工商管理硕士院系专业:管理学院_工商管理硕士(高级管理人员工商管理硕士)学号:X201415616

    野化培训大熊猫的采食动态及食物利用率

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    2003年7月~2004年9月,我们对大熊猫"祥祥"在野化培训阶段的体重、粪便量、采食部位等数据进行了收集,通过消化率估算了采食量,用丢弃竹子重量估算了竹子利用率,并结合采食变化规律分析了"祥祥"的采食策略。结果表明,经过1a多时间的野化培训,"祥祥"的体重从最初的62.2kg增加到68.2kg。但由于对野外环境的不适应和精饲料供给量的减少,体重曾有所下降。相关分析表明,体重与粪便之间并无显著相关关系(R=0.186,P>0.05)。通过方差分析表明,"祥祥"的采食量比放归前期有明显增加(P<0.01),比同时期的圈养个体采食量也有明显增加(P<0.01);对竹子不同部位的选择可以明显地分为秆期、叶期和笋期,这与野生大熊猫的采食策略相似。大熊猫"祥祥"初步具备了野外生存的基础,与之相关的饲养管理方式为今后的野化培训提供了有益的借鉴

    野化培训大熊猫夜宿地结构特征的初步观察

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    2004年3~9月,我们对卧龙自然保护区核桃坪基地野化培训大熊猫个体"祥祥"的夜宿地组成结构进行了初步观察,并采用主成分分析(PCA)对471组夜宿地数据所涉及的7种结构因子(廊道、竹林、余竹堆、岩石、乔木、倒木、灌草丛)进行了统计分析。结果表明:在大熊猫"祥祥"的夜宿地结构中,"廊道"、"竹林"和"乔木"是最主要的3个因子。经单因素方差分析检验表明,在对地势的选择中,"祥祥"偏爱坡度5°~30°的缓坡竹林(P<0.01);环境温度增加是造成"祥祥"选择在树上休息的主要原因(P<0.05);在拐棍竹发笋期,随着活动的增加,夜宿地数量明显增多(P<0.01)。观察结果反映出"祥祥"对自然环境的主动适应,对夜宿地的分析研究结果对今后的野化培训选址和培训方式提供了有益启示

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

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    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

    Prediction of Energy Resolution in the JUNO Experiment

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    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

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

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

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

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

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    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^

    Amplitude analysis of the decays D0π+ππ+πD^0\rightarrow\pi^+\pi^-\pi^+\pi^- and D0π+ππ0π0D^0\rightarrow\pi^+\pi^-\pi^0\pi0

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