13 research outputs found

    [[alternative]]The preliminary study of the organizational demography to the performance of small audit firms

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    碩士[[abstract]]本文以少被文獻注意,但對經濟體系具一定貢獻的台灣小型會計師事務所為對象,探討組織人口組成型態對其財務績效之影響。經採台灣財政部發行1989年及2002之小型會計師事務所普查資料加以分析後,主要發現有下列數端。首先,相對而言,金字塔型態的年齡結構其財務績效最高,倒金字塔及工字型的年齡結構之財務績效最低,此一結果隱 含了金字塔型態之年齡結構較適於屬專業服務業之經營需求。其次,菱形學歷結構的財務績效相對最高,顯示出在小型會計師事務所在為企業提供專業服務的過程中,若以大學與技術學院學歷為主要人力時,較能提高事務所之競爭優勢。本文之研究結果,不但可供有志進入會計師事務所創業者決策參考外,更可填補過去文獻在此領域研究的缺口。[[abstract]]This study is seldom to be searched but our object is the small audit firm who has some contribution in Taiwan. We discuss the influence of organizational demography to the financial performance. After analyze the census data of the small audit firm which is published by the Treasury Department, we find some results. First, the highest financial performance is on the pyramidal of age structure. Comparably, the lowest financial performance is on the reversed pyramidal organization and "I"-shape structures organization. This result implies the pyramidal of age structure is suitable for the professional service career’s demand. Second, the financial performance of diamond of education structure is the highest relatively. It shows that if they use people who graduated from the college or institute of technology to be the main manpower can raise the competitive advantage of the audit firms during the process of the small audit firms who provide the professional service. Our results not only provide the concept to the person who wants to join the audit firms but also fill in the gap in the past research.[[tableofcontents]]目錄 第壹章 緒論 1 第一節 研究背景 1 第二節 研究動機 3 第三節 研究目的 5 第四節 論文架構與研究流程 6 第貳章 文獻探討 8 第一節 組織人口組成之研究脈絡探討 8 第二節 年齡結構型態與績效之關係探討 10 第三節 專業服務機構文獻探討 13 第四節 人口組織學對於PSFs所扮演角色之重要性整理 15 第五節 組織績效 20 第六節 文獻評述 22 第參章 研究方法 27 第一節 結構型態的建立 27 第二節 研究架構 31 第三節 研究假說 32 第四節 變數定義 34 第五節 估計模式 38 第六節 資料來源 39 第肆章 實證結果 41 第一節 敘述統計 41 第二節 迴歸結果分析 42 第伍章 結論 44 第一節 主要結果 44 第二節 研究限制 45 第三節 未來研究建議 45 參考文獻 46 圖目錄 【圖1-4-1】:論文架構 7 【圖3-1-1】:金字塔型的人口組成型態 28 【圖3-1-2】:13種組織人口組成結構形態 29 【圖3-1-3】:歸併後的五種人口結構型態 30 【圖3-2-1】:人口組成結構與小型會計師事務所財務績效之關係 31 表目錄 【表2-1-1】:組織結構組成要素之年齡對績效影響彙整 12 【表2-5-1】:組織績效衡量指標之相關研究 21 【表3-4-1】:變數定義表 37 【表4-5-1】:各變數敘述統計彙整表 41 【表4-2-1】:迴歸分析結果 42[[note]]學號: 694470146, 學年度: 9

    紫云英苷抑制APP/PS1小鼠大脑皮质神经元凋亡

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    目的探讨紫云英苷 (AST)对APP/PS1转基因小鼠大脑皮质神经元凋亡的影响。方法将18只6月龄雄性APP/PS1转基因小鼠随机分为APP/PS1、APP/PS1+40 mg/kg AST、APP/PS1+20 mg/kg DNP (Donepezil, DNP)三组,每组各6只动物。同时另选6只同月龄C57BL/6雄性小鼠作为正常对照组 (Control)。腹腔注射给药AST,每日一次,连续给药一个月后,Tunel染色法检测APP/PS1小鼠大脑皮质内神经元凋亡情况;免疫荧光染色法检测APP/PS1小鼠大脑皮质内神经元凋亡相关蛋白Bax、Bcl-2、Caspase9、Cleaved-Caspase3表达情况;Western blot法检测APP/PS1小鼠大脑皮质内Bax、Bcl-2、Caspase9及Caspase3表达水平的变化。结果Tunel染色结果显示,40 mg/kg AST及20 mg/kg DNP均可减少APP/PS1小鼠大脑皮质内神经元凋亡,其中AST抑制效果尤为明显。免疫荧光染色结果表明,40 mg/kg AST及20 mg/kg DNP均抑制APP/PS1小鼠大脑皮质内神经元中Bax、Caspase9及Cleaved-Caspase3的表达,增加Bcl-2的表达。Western blot 结果进一步证实,40 mg/kg AST及20 mg/kg DNP均可下调APP/PS1小鼠大脑皮质内神经元Bax (P < 0.05, P < 0.05)、Caspase9 (P < 0.005, P < 0.05)及Caspase3 (P<0.000 1, P<0.000 1),上调Bcl-2 (P < 0.05, P < 0.05)。结论AST能够抑制APP/PS1小鼠大脑皮质神经元凋亡

    向海国家级自然保护区青头潜鸭监测初报

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    为掌握向海保护区内青头潜鸭(Aythya baeri)的数量动态、分布和繁殖生态,2005—2020年3—10月,以旬为单位通过定点观察法、样线法对青头潜鸭进行野外监测。结果表明:(1)监测期间,青头潜鸭的出现频率和最大群体数量整体上呈增加趋势,共观察到青头潜鸭50次,其中单次最大群体数量为26只。(2)青头潜鸭一般在每年3月中下旬迁到向海保护区,4月开始成对活动,最晚10月中上旬迁离; 喜好安静且水生植物比较茂盛的明水沼泽,常与白眼潜鸭(A.nyroca)、红头潜鸭(A.ferina)、凤头潜鸭(A.fuligula)和白骨顶(Fulica atra)同域活动。(3)黑山坝小林场屯(含福泰泡)、青年坝(含碱地泡、付老文泡)和仙鹤岛等区域是保护区内青头潜鸭的主要分布点。基于监测结果,对向海保护区青头潜鸭的监测时期、监测区域及监测时间间隔等方面提出了监测建议

    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

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

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    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^
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