Analysis and Assess of TK Center's Strategy for Business Turnaround

对创业期企业或处于发展新阶段的企业来说，战略的选择和转变是关乎组织能否生存的重要议题。谁能认清行业形势，构建核心竞争力，培育出企业独有的战略资源，谁就能在市场中站稳脚跟，赢得先机。如何在复杂多元且持续改变的环境中筛选有价值的信息，确立组织运行框架，是初创企业或企业发展到新阶段必须解决的首要问题。 本文以竞争战略理论为基础，以案例形式描述了TK公司从某大型飞机维修企业的职能部门向一家独立运营公司的转变，并着重分析在转变过程中TK公司如何分析其面临的内外部环境，并在此基础上如何确立并构建企业的竞争战略。TK公司所在的民航维修培训行业在国际上已是成熟产业，但在国内仍处于发展阶段，目前已进入壁垒...For startup companies or companies in a turnaround stage, strategy is the key factor of survival. Only those who have a clear understanding of the industry, core competency and a unique strategic resource will have a chance to succeed. With the economy and business competition constantly changing, for young enterprises, the top priority is to filter out irrelevant information and focus on valuable...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：1792009115087

我国上市公司治理结构问题分析

我国上市公司发展至今,治理结构问题一直是个硬伤。本文应用委托代理理论,对我国上市公司治理结构的一般性问题———内部人控制问题,以及特殊性问题———大股东控制问题进行深入剖析,并以效用函数为工具,揭示我国上市公司治理结构问题的微观根源。对于我国上市公司治理结构问题,也应该区分这两种性质的问题,从效用函数入手加以解决

Deep Spherical Panoramic Representation for 3D Shape Recognition

三维形状识别是近年来较为热门的研究方向,针对其中的三维模型形状的表达方法和识别问题,提出一种多分支卷积神经网络下的三维模型识别方法.该方法通过对; 三维模型进行球面深度投影得到球面全景图;为了提高识别精度,将每个模型的球面全景图从多个角度展开,创建多幅平面图像作为识别系统的输入;识别系统使用; 多分支的卷积神经网络,并将多幅全景图进行整合分析,最终得到一个三维模型的识别结果.对三维模型进行分类和检索的实验结果表明,文中方法的识别效果优于; 近年来的前沿方法,对三维模型进行检索的准确度甚至超过了多视图识别方法.3D shape recognition is a hot topic in recent years. This paper proposed; a 3D model recognition method with multi-branch convolutional neural; network (CNN) to address the problems of 3D shape representation and; recognition. The inputs of the proposed method are spherical panoramas; by deep spherical projection of 3D models; to improve recognition; accuracy, the spherical panorama of the shape first unfolded on various; orientations to produce multiple rectified images as input of; recognition frame; the recognition system consists of a multi-branch; CNN, which analyzes the panoramas as a whole to produce the final; recognition result. The experiment results of retrieval and; classification on various of 3D dataset showed that the performance of; our method is better than the state-of-the-art methods, and the; retrieval accuracy outperforms that of multi-view method.国家自然科学基

Progress on Joint Effect of Mixture Pollutants

环境污染物几乎都以混合物的形式存在。文章以污染物联合毒性研究的发展为主线,介绍了联合毒性定性研究方法(毒性单位Tu法、加和指数AI法、混合毒性指数MTI法及相似参数λ法)和定量研究方法(以Tu和λ为参数的方法和混合化合物的定量结构-活性相关QSAr法),简要概述了各方法的优缺点。发现目前已有的研究方法大都还停留在定性并逐步向定量发展的阶段,指出了其中借鉴单一化合物QSAr模型而发展起来的混合化合物定量结构———活性相关(M-QSAr)模型尚处在开始成型的“初级“阶段,但它是21世纪可持续发展的新生力量,它的发展必将推动我国环境污染化学的进一步发展,为污染物的生态风险评价提供更为可靠的科学方法和理论依据。Environmental pollutants are almost mixtures.Advances on joint toxicological effect of mixture pollutants were reviewed according to development of various stages.Methods from qualitative to quantitative study of joint toxicological effect together with disadvantages and advantages were systematically introduced,with focus on qualitative study and development of quantitative study.M-QSAR,which draws lessons from QSAR of individual chemicals,is still at primary stage, but is prospective for sustainable development in 21st century,which can not only facilitate the development of environmental pollution chemistry but provide more reliable scientific approaches and theory basis to estimate ecology risk of pollutant.国家自然科学面上基金(20677063);国家自然科学基金重大项目(40490264);广东省自然科学基金(5003680);广州市科技计划项目(2007J1-C0241);同济大学长江水环境教育部重点实验室开放基金(YRWEF07004);厦门大学近海海洋环境科学国家重点实验室开放基金(MEL0504

茵蒲灌肠液联合美沙拉秦肠溶片治疗轻中度溃疡性结肠炎的临床效果

目的观察茵蒲灌肠液联合美沙拉秦肠溶片治疗轻中度溃疡性结肠炎(UC)的临床效果。方法选取2016年1月—2017年12月轻中度UC患者60例,按治疗方法不同分为对照组和观察组,每组30例。对照组给予美沙拉秦肠溶片,观察组在对照组基础上给予茵蒲灌肠液保留灌肠。比较2组治疗后的临床症状、结肠镜下黏膜改变、不良反应情况以及总体疗效。结果治疗后,观察组的临床症状缓解率、结肠镜下黏膜修复有效率以及总体疗效有效率高于对照组(P0.05)。结论茵蒲灌肠液联合美沙拉秦肠溶片对轻中度UC的临床症状缓解、结肠镜下黏膜修复程度均具有较好的效果,且不增加不良反应的发生率。福建中医药大学校管课题(XB2016066

完善我国投资银行功能体系

一、我国投资银行的定义 1.国内外学者对投资银行的定义 对于投资银行的定义,罗伯特·库恩从投资银行业务的历史发展以及内容拓展进行了4个层次的划分: ①最广义:几乎包括所有华尔街金融业务,从国际企业承销、分支机构零售业务行销到各式各样的金融服务(例如房地产和保险业)等,都在投资银行的业务范围之内。 ②次广义:涵盖所有资本市场的活动,从证券承销、公司理财、企业并购、咨询服务、基金管理、风险投资到商人银行及金融机构非零售的巨额交易活动等

超声波空化作用时间对水煤浆流变特性影响的研究

介绍了超声波空化作用机理,研究了超声波不同空化作用时间对水煤浆流变特性的影响,随着空化作用时间的增加,水煤浆表观粘度升高,粒度变细,温度升高,而最终结果是多种因素影响后而体现出的综合结果

Feature-preserving filtering with L0 gradient minimization

Feature-preserving filtering is a fundamental tool in computer vision and graphics, which can smooth input signal while preserving its sharp features. Recently, a piecewise smooth model called L0 gradient minimization, has been proposed for feature-preserving filtering. Through optimizing an energy function involving gradient sparsity prior, L0 gradient minimization model has strong ability to keep sharp features. Meanwhile, due to the non-convex property of L0 term, it is a challenge to solve the L 0 gradient minimization problem. The main contribution of this paper is a novel and efficient approximation algorithm for it. The energy function is optimized in a fused coordinate descent framework, where only one variable is optimized at a time, and the neighboring variables are fused together once their values are equal. We apply the L0 gradient minimization in two applications: (i) edge-preserving image smoothing (ii) feature-preserving surface smoothing, and demonstrate its good performance. ? 2013 Elsevier Ltd

超声波空化作用时间对水煤浆流变特性影响的研究

介绍了超声波空化作用机理,研究了超声波不同空化作用时间对水煤浆流变特性的影响,随着空化作用时间的增加,水煤浆表观粘度升高,粒度变细,温度升高,而最终结果是多种因素影响后而体现出的综合结果