The Appraisal on Investment Valuation of China Xingye Bank and Shanghai Pudong Development Bank

股权分置改革是迄今为止影响中国证券市场发展的最重大事件之一，尽管整个股权分置改革工程已经取得了比较显著的成效，有关股权分置改革的争议却并没有停止。股权分置改革的核心是对价，而对价的实质是公司价值评估问题。要想解决上述争议，用公司价值对股改对价的内容和实质进行分析是一条有用的途径。公司估值是证券研究最重要、最关键的环节，也是宏观、行业及财务分析的落脚点。所有分析从根本上讲，都是为了提供一个公司估价的基础，然后以此为据作出投资与否的决策。当前证券研究中采用的典型估值方法分为：市盈率（PE）法、现金流折现（DCF）法和经济增加值（EVA）法。 本文选择了中国银行业的两个典范--兴业银行和浦发银行作...Non-tradable share reform has been one of the most important events that have strong impacts on the development of China's security market. Despite its successful progresses, the controversy of share reform has not stopped. The Consideration payments is the core of Non-tradable share reform, and the Consideration payments is actually the real value of the company's assessment. To address the shar...学位：工商管理硕士院系专业：管理学院企业管理系_工商管理硕士(MBA)学号：1792007115062

Enhanced vaccine accessibility through innovative regulatory sciences

疫苗储存运输要遵循冷链运输(cold; chain,CC)的要求,这很大程度上限制了疫苗的接种和普及,尤其是在那些贫困偏远地区。为扩大疫苗可及性,世界卫生组织(World Health; Organization,WHO)于2012年首次提出了受控温度链(controlled temperature; chain,CTC)法规,即在政府部门和WHO的监管下,在有充分热稳定性数据支持的前提下,若申报CTC的疫苗在不低于40 ℃下存放至少3; d后仍能保证效力,则该疫苗在免疫供应链后期无需冷链运输。CTC法规已成功应用在包括MenAfriVac~在内的4个商品化疫苗上。本文介绍了CTC; 法规的内容和应用情况,通过科学监管提高疫苗可及性,减少不必要的浪费。The need to keep vaccine in a traditional cold chain (CC) is a; constraining factor for many immunization campaigns,particularly in the; resource-limited countries. Increased flexibility with an approach newly; introduced in 2012 was implemented with meningitis a; vaccine,MenAfriVac~,across sub-Saharan Africa,after thorough review of; the scientific data by regulatory authorities and World Health; Organization (WHO). This approach was termedcontrolled temperature; chain(CTC) by allowing the vaccines to be exposed at temperatures of up; to 40 ℃ for a minimum of three days prior to the administration of the; vaccine. There are four vaccines were licensed for CTC,including; MenAfriVac~. This article introduces the details and the applications of; CTC. More efforts are underway to fully realize the potentials of the; CTC strategy for increased vaccine accessibility and reduced wastage

双膦酸盐类药物用于肿瘤辅助治疗的临床研究进展

双膦酸盐是用于骨骼疾病及钙代谢性疾病治疗的一类药物,主要用于治疗骨质疏松症、佩吉特病、高钙血症等。同时临床研究显示双膦酸盐还可用于多发性骨髓瘤、乳腺癌、肾癌、前列腺癌等疾病的辅助治疗,改善患者的临床结局,尤其是唑来膦酸盐的抗肿瘤效果更具优势,被广泛应用于多种恶性肿瘤的临床研究。本文就双膦酸盐在肿瘤辅助治疗中的临床研究进展进行综述。国家自然科学基金面上项目(31670939

Synthesis of Ru(dpp)_3(ClO_4)_2 doped polyacrylonitrile nanoparticles and its applications in ratiometric pH sensing

采用乳液聚合法制备了掺杂有4,7-二苯基-1,10-邻菲咯啉钌(ru(dPP)3(ClO4)2)的聚丙烯腈纳米颗粒(ru-PAn).经扫描电子显微镜(SEM)表征,制备的ru-PAn的尺寸为135±15 nM,呈规则球型,尺寸分布均匀且在水中的分散性较好.实验考察了氧气、共存离子和PH值对其荧光性质的影响以及其荧光稳定性.以异硫氰根荧光素(fITC)为PH荧光指示剂、ru-PAn为参比信号,初步建立了一种比率荧光PH检测的方法.In this paper Ru(dpp)3(ClO4)2 doped polyacrylonitrile nanoparticles(Ru-PAN) were prepared using emulsion polymerization method.Morphology characterizations of the nanoparticles were performed using scanning electron microscope,the particle diameter was about 135±15 nm.The interference of the oxygen,coexisting ions,pH and photo-stability were investigated.A new ratiometric fluorescence pH sensing system was established via fluorescein isothiocyanate(FITC) as pH-sensitive dye and Ru-PAN as a reference.国家自然科学基金资助项目(20975085

Growth of Prussian blue microcubes under a hydrothermal condition: Possible nonclassical crystallization by a mesoscale self-assembly

通讯作者地址: Xie, ZX (通讯作者), Xiamen Univ, Dept Chem, State Key Lab Phys Chem Solid Surfaces, Coll Chem & Chem Engn, Xiamen 361005, Peoples R China 地址: 1. Xiamen Univ, Dept Chem, State Key Lab Phys Chem Solid Surfaces, Coll Chem & Chem Engn, Xiamen 361005, Peoples R China 电子邮件地址: [email protected] classical crystallization process starts from stable nuclei followed by a simple enlargement of the nuclei by unit-cell replication. In recent years, the universality of such classical crystallization has been questioned upon investigations of biomineralization processes, and there are few examples showing that crystal growth may not follow such a classical crystallization process. In this paper, a typical coordination polymer, Prussian blue microcrystals, has been synthesized under hydrothermal conditions. By carefully analyzing the intermediates during the crystal growth process, we found that the growth of Prussian blue under the given growth conditions may follow a nonclassical crystal growth process in which a mesoscale self-assembly of nanocrystallites is included during crystal growth. Such a mesoscale self-assembly process could be a common phenomenon for growth of some crystals with extremely low solubility

Expressions and functions of long non-coding RNAs in glioma

Gliomas are the most common primary brain tumors in adults. Despite the development of multimodal and aggressive treatments that include surgical resection, radiotherapy and systemic chemotherapy in the past decades, patient outcomes remain unsatisfactory. To improve treatment efficacy, a better understanding of glioma pathogenesis at the molecular level is urgently needed. Long non-coding RNAs (lncRNAs) are transcripts with length greater than 200 nucleotides and without protein-coding function. They are emerging as new regulators in cancer biology by acting as tumor suppressors or oncogenes. They may even be employed as biomarkers for cancer diagnosis and prognostication. However, the global expression patterns and functional roles of lncRNAs in the majority of cancer types, including glioma, remain largely unknown. The hypothesis of this project was that lncRNAs were aberrantly expressed in glioma, and may act as biomarkers or regulators in glioma. With this hypothesis, the study set four objectives: 1) establish a bioinformatics mining method to obtain lncRNA expression profiles from the existing glioma microarray gene expression data; 2) explore the correlations between lncRNA expression signatures and clinical phenotypes of glioma (histological subtypes and malignancy grades); 3) explore the prognostic values of lncRNAs in glioma; and 4) characterize the functional roles of a representative lncRNA candidate-CRNDE, in regulating glioma growth in vitro and in vivo. To achieve these goals, the study first developed a bioinformatics classification pipeline to identify the lncRNAs that were represented on the Affymetrix HG-U133 Plus 2.0 array, which is one of the most commonly used commercial microarrays in human cancer profiling. This identified 2448 probe sets (corresponding to 1970 lncRNA genes) that were represented on this array platform. By using this mining approach, lncRNA profiling was then performed in two large cohorts of public glioma microarray gene expression datasets (containing 268 and 157 clinical specimens, respectively). Sets of lncRNAs that were unique to different glioma histological subtypes and malignancy grades were identified and verified. Moreover, by analyzing the associations between lncRNA expression signatures and patient prognoses, the study identified a six-lncRNA signature (KIAA0495, PART1, MGC21881, MIAT, GAS5, PAR5) that was significantly associated with the overall survival of glioblastoma multiforme (GBM) patients. Further analysis revealed that the prognostic value of the lncRNA signature was independent of the known prognostic factors, i.e., age and O(6)-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The functional study for one representative lncRNA, CRNDE, showed that CRNDE knock-down dramatically inhibited glioma cell growth both in vitro and in vivo, and was associated with decreased BCL2/Bax ratio and induced cell apoptosis, suggesting the oncogenic role of CRNDE in glioma. This study established for the first time a readily available lncRNA profiling method, and provided an important platform for future study. The associations of lncRNA signatures with glioma clinical phenotypes and patient outcomes suggest that lncRNAs may play important roles in the pathogenesis of glioma, and that lncRNAs may act as potential biomarkers for glioma diagnosis and prognostication. The functional roles of CRNDE in regulating glioma growth indicate its potential of being employed as a therapeutic target.published_or_final_versionSurgeryDoctoralDoctor of Philosoph

Two-Dimensional Localized Magnetic Resonance Spectroscopy and its In Vivo Application

核磁共振定域谱(MrS)是获得活体生化定量信息和诊断信息的无损检测技术,是核磁共振成像强有力的补充技术,可为临床诊断和疾病预测提供重要的信息.然而,活体1d1H MrS通常存在代谢物谱峰拥挤、分辨率较低和归属难等问题.引入2d MrS可在较大程度上解决1H MrS谱峰重叠和谱峰归属难的问题.该文简述和分析了几种典型的2d MrS新方法及其优缺点,并讨论了它们在脑部、肌肉、乳腺、前列腺等活体组织中的应用.虽然2dMrS存在着实验时间较长的局限,但最新研究表明其具有一些独特的优势及较好的发展前景.Localized magnetic resonance spectroscopy(MRS) is a non-invasive technique for acquiring in vivo biochemical and diagnostic information,acting as a powerful complement to MRI.It can provide important information for clinical diagnosis and disease prediction.However,1D in vivo 1H MRS has the problems of peak crowding,low spectral resolution and difficult peak identification.The two-dimensional(2D) MRS has been introduced to address these problems to a large extent.In this review,we analyzed the advantages and disadvantages of several typical 2D MRS methods.Their in vivo applications in brain,muscle,breast and prostates were also discussed.Although 2D MRS has the limitation of long experimental time,it still holds some unique advantages and presents a promising prospect according to the latest research.国家自然科学基金资助项目(10974164);中央高校基本科研业务费资助项目(2010121010

A Sparse Reconstruction Algorithm for NMR Spectroscopy Based on Approximate l_0 Norm Minimization

在核磁共振(nMr)波谱中,过长的数据采集时间会使很多化学以及分子生物学领域的高分辨率多维谱应用难以实现.传统的解决办法是使用随机非均匀采样代替奈奎斯特采样,但这样会使谱图质量受损.压缩传感的出现为此提供了更好的解决办法,合适的压缩传感重建算法可以通过很少的随机非均匀采样将谱图高质量的重建出来.该文先介绍了一种可用于谱图重建的压缩传感重建算法,名为“平滑l0范数最小化法“,然后针对该算法对采样噪声鲁棒性较差的缺点进行了改进.通过将改进后的算法与原算法在一维实数域信号以及nMr波谱信号重建实验中进行对比后表明,改进后的算法对噪声的鲁棒性明显提高,并能获得更好的重建性能.Long acquisition time often hinders the routine application of multidimensional NMR spectroscopy.A common approach to reduce the acquisition time is to replace the commonly used Nyquist grid sampling scheme with a random non-uniform sampling(NUS)scheme.However,NUS is inherently associated with degradation of spectrum quality.It has been demonstrated recently compressed sensing(CS)algorithms can be used to reconstruct high-quality spectra from sparse NUS data.In this paper,a CS reconstruction algorithm called"Smoothed l0Norm Minimization"was introduced.The typical version of the algorithm was then modified to improve its robustness under high noise condition.The improved algorithm was applied to reconstruct 1Dreal-valued signal and 2D NMR spectroscopy,and the results were compared with those obtained by other methods.The results showed that the algorithm proposed had better robustness to noise,and could be used to reconstruct high-quality spectra with fewer sampling data.国家自然科学基金资助项目(11105114、11174239和61201045); 中央高校基本科研业务费资助项目(2010121010

生物质燃气催化重整净化的特性研究

通过改变生物质燃气重整过程中重整温度、反应时间、水蒸气的添加等参数，考察了国产烃类蒸汽转化催化剂Z405重整净化生物质燃气的性能及对合成气化学当量比的调变作用。结果表明：在Z405的作用下，生物质燃气中CH4和C2转化率均高达95％以上，合成气中CH4和C2的含量分别低于0．500％和0．005％，心与CO含量有显著增加，CO2含量有所减少。添加水蒸气后H2CO值较之无水蒸气的添加发生了显著变化，从0．70提高到1．15，气体低热值有所增大。提高重整温度对生物质合成气组分具有显著的调变作用，心和CO含量增幅随温度升高而增加，CH4与C2组分含量降低幅度也随温度升高而增加。但当重整温度超过780℃时，对合成气组分调整作用不明显。重整生物质燃气组分在60min内无明显改变，未检测到催化剂活性降低、失重及积炭