三神经的

The principal units of the Division include three departments, Cell Biology and Neuroscience, Genetics, and Molecular Biology and Biochemistry, as well as two sections, the Biological Chemistry section of the Department of Chemistry, and the Biopsychology and Behavioral Neuroscience section of the Department of Psychology.

该学部主要单位包括三个系？？细胞生物学和神经科学系，遗传学系，以及分子生物学和生物化学系；两个分部，化学系的生物化学部以及心？？？？？的生物心理学和行为神经科学部。

The results showed that LRK could significantly inhibit the mammary hyperplasia caused by estrin, reduce the content of serum 〓, raise P level, promote the production of DA in hypothalamus and mammary tissue, decrease the release of 5-HT, inhibit the secretion of serum PRL, reduce the sensitivity of mammary tissue to estrin and progestogen, prevent the expression of mammary tissue on PCNA, the effect was equal to triphenylamine oxide, obviously superior to the control group of Ru Zeng Ning.

通过实验研究，建立了具有肾虚肝郁证侯群的乳腺增生病理模型，利用免疫组化技术、图像分析系统、荧光分光光度法、放射免疫法等现代医学研究方法，从病理形态学、医用体视学、神经内分泌学、阴道细胞学等方面，观察了利乳康口服液对模型动物整体状态、乳腺组织病理形态、血清激素、神经递质以及卵巢功能的影响，结果表明利乳康口服液能明显抑制雌激素引起的乳腺组织增生，降低血清E〓含量，升高P水平，促进下丘脑及乳腺组织中DA的产生，减少5-HT释放，抑制血清PRL分泌，降低乳腺组织对雌、孕激素的敏感性，阻止乳腺组织PCNA的表达，其效应与三苯氧胺相当，明显优于乳增宁对照组；另外，利乳康口服液还能缓解模型动物肾虚肝郁证侯群，增加其体重，调节其整体状况，改善模型动物不规则动情周期，减轻其子宫及卵巢的病变，抑制子宫内膜的过度增长，调节卵巢功能，揭示了中药利乳康口服液对神经内分泌和卵巢功能的整体调控作用，以及对本病发生、发展的预防作用

Two ways of tri-electrode selective stimulation of nerve trunk in FNS are proposed in the paper, based on the anodal block in neuroelectroph ysiology.

本文根据神经电生理中的阳极阻断现象，提出了两种用于功能性神经电刺激的三电极选择性刺激方法。

The main works include five parts:(1) A modified K-means algorithm for optimizing the RBPNNs' structures was proposed;(2) The RBPNNs' structure optimization method based on the orthogonal least square algorithm was proposed that can greatly reduce the computation expense for the structure optimization;(3) Using the GA to perform the whole structure optimization of the RBPNNs was proposed in this thesis, which include simultaneous optimization of the hidden centers and the corresponding controlling parameters of the kernel functions.

主要工作体现在如下三个方面：(1)提出一种改进的 K-Means 算法；(2)提出了基于递推正交最小二乘算法的结构优化算法来训练径向基概率神经网络，从而大大减小了用于结构优化的计算开销；(3)提出使用遗传算法来实现径向基概率神经网络的全结构优化，即隐中心矢量和核函数控制参数同时优化，通过新设计的编码方式、新构造的适应度函数，充分发挥了 GA 的全局搜索性能，使得所优化的径向基概率神经网络的结构趋于最简。

The work covers the control algorithm with neural network, the hardware realization of neural network and the design of distributed 3D animation real-time flight simulation system applied to attack helicopter.

内容涉及神经网络控制算法研究，神经网络的硬件实现及分布式武装直升机三维动画实时飞行仿真系统的设计等方面。

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上，利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系，并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法)；(2)以数学规划为基础，结合数量经济学和技术经济学，引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型，进而获得全气田及各采气厂的最优方案，并引入资金时间价值对五年规划模型进行改进；(3)以非线性规划问题的最优解及算法理论为基础，引入SUMT算法以及遗传算法对模型的求解进行研究，并在原有的遗传算法基础上，引入自适应调整方法对遗传算法进行改进；以算法的收敛性理论和计算复杂性理论为基础，逐一分析SUMT算法以及遗传算法的收敛性，并比较三种算法的优劣性。

The theories research:Reviewed the medical history of stroke\' s Pathogenesis and Modernrecognition on the pathomechanism of fushi syndrome of acute stroke; Exploredthe neuroprotective mechanism of tongfu treatment on acute stroke; Reviewedthe source of xuanfu theory and xuanfu pathogenesis of stroke. Proposed thattongfu could not only get through the gastrointestinal sthenia syndrome,butalso xuanfu; Explained the effect of AQP-4 in ischemic stroke pathogenesisand try to explore the intrinsic link between xuanfu and channel protein2. Clinical research: A retrospective case-control study was adopted, according to the diagnosis,inclusion and exclusion criteria, included in a total of 60 cases of acuteischemic stroke who hospitalized in one or three department of neurology inGuangdong Provincial Hospital of TCM from April 2005 to March 2007, used TFXSJN and unused TFXSJN was 30 casesrespective.

1理论研究：回顾了历代医家对中风病因病机的认识及近代医家对中风病急性期腑实证形成的病理机制的认识，探讨了通腑法治疗急性中风的神经保护机制；(来源：ABC论文18网www.abclunwen.com)回顾了玄府学说的历史渊源及中风病的玄府病机；提出通腑法所通的不仅仅是胃肠之腑，也包括无物不有的玄微之府；阐述了AQP-4在缺血性中风病理机制中的作用，并试图探讨玄府与通道蛋白之间的内在联系。2临床研究：采用回顾性病例对照研究，按照诊断、纳入及排除标准，纳入了2005年4月—2007年3月在广东省中医院神经一科及神经三科住院的急性缺血性中风患者共60例，其中使用TFXSJN及未使用TFXSJN者各30例。

The first part is the introduction, which generally introduces the research purpose and significance of this thesis, the summary of the financial pre-warning researches both home and abroad, and the research main contexts and research methods; The second part is the comparison on the financial pre-warning methods existent, which compares the different methods by categories, makes a further analysis on the limits of existent methods, and proposes the improve thoughts of this research based on that; The third part is the basic theory, which makes a summary of the referent theories exerted on the research, and exposit the comparing mechanism of the grey prediction theory and the artificial neural network method concise; The fourth part is the frame work of the model, which illuminates the research designs step by step, such as the definition of the financial crisis, the method of sample select, the select and definition of the pre-warning variables, and makes an exposition of the establishment procedures of the whole models at last; The fifth part is the financial pre-warning based on the theory of grey prediction and artificial neural network, which mainly demonstrate the model establishment in the concrete, dividing into four part to carry out the part of pragmatic research integrally, building of indexes system, establishment of BP neural networks, dynamic financial pre-warning and test, analysis on the pre-warning result; The sixth part is conclusion, which sums up the main results of the whole research, clarifies the innovative points, and makes a discussion on the limits and future study directions of the research in this thesis.

其中，第一部分为导论，总括性概述本文的研究目的与意义，国内外研究综述，以及本文的研究内容和方法；第二部分为现有财务预警研究方法剖析，通过对现有预警方法进行分类比较，进一步分析现有预警方法的局限性，并在此基础上提出本文研究的改进思路；第三部分基本理论，对本文研究中运用的相关理论进行扼要概述，并简要阐述灰色预测理论与人工神经方法的融合机理；第四部分为模型研究框架，逐步阐释模型对财务困境的界定，样本数据的选取方法，预警变量的选取与定义等各个部分的研究设计，并对整体模型的构建步骤进行简要阐述；第五部分为基于灰色神经网络模型的财务预警，主要论述动态预警模型的具体实现过程，分模型指标体系的建立，BP神经网络的建立，动态财务预警与检验，以及预警结果分析四个部分全面阐述本文实证分析过程；第六部分为结论，总结本文研究得到的主要研究结论，以及本文研究中的创新之处，并对论文的不足与后续发展研究进行探讨。

Cells were collected to undergo HE staining and immunocytochemistry reaction against Thy-1 to identify RGCs. Axons length of retinal neurons and RGCs were measured by microruler under microscope respectively to evaluate the neurotropic effects of B vitamins in improving the regeneration and growth of axons for retinal neurons and RGCs. Finally, we observed the reaction of retinal neurons when exposed to the insult of glucose deprivation. The neuroprotection of B vitamins were also evaluated at the same time.

对B族维生素的神经营养和保护作用的研究过程分为三个阶段，首先确定维生素B族对视网膜神经元是否有神经营养作用，并根据细胞活力找出最佳有效作用浓度；然后在接种细胞的即刻用各种维生素的最佳有效作用浓度作用于视网膜神经元，并在不同时间终止培养，收集细胞，HE染色和RGCs的免疫细胞化学染色，分别测量视网膜神经元和RGCs的轴突长度，评价维生素B族是否有促进视网膜神经元和RGCs轴突再生伸长的神经营养作用；最后，观察视网膜神经元对低糖损伤的反应，及维生素B族对受损的细胞是否有保护作用。

In this study, we used poly L-latcide, poly DL-latcide-co-glycolide 75:25 (PLGA7525) and poly DL-latcide-co-glycolide 50:50 (PLGA5050) during citric acid inducing ammonium bicarbonate gas forming process to form porous polymer film, and rolled the porous polymer film to make nerve conduits with pores and multi-layered. Electron Spectroscopy for Chemical Analyzer and Attenuated Total Reflectance – Fourier-Transform Infrared Spectrometer were employed for determining elements' functionabilities and chemical compounds. Charge Coupled Device camera and Scanning Electron Microscope were employed for macroscopic and microscopic morphologies and structural observation. Differential Scanning Calorimetry was employed for measuring glass-transition temperature. Nano-indentation system was employed for measuring elastic modulus and hardness. Biodegradation and water absorption ratios were measured to analyze their chemical properties and SEM was employed for microscopic morphology of the tested nerve conduit.

本研究将以聚乳酸、聚乳酸-聚甘醇酸共聚合物（75：25）、聚乳酸-聚甘醇酸共聚合物（50：50）做为研究材料，以柠檬酸诱发碳酸氢铵发泡之气泡成型法制作具有相连通孔隙之高分子薄膜，再将高分子薄膜卷制成特殊多层的导管，制作具有多层孔隙之新型神经再生导管，以电子能谱化学分析及减弱式全反射-傅立叶转换红外线光谱分析进行成份分析及化学元素测定；以电荷耦合元件摄影机、扫瞄式电子显微镜进行多层孔隙型神经导管巨观及微观形态结构观察；以示差扫瞄热量量测分析玻璃转换温度、奈米三维量测弹性模数及硬度；以及进行降解性质测定，并以扫瞄式电子显微镜进行降解后之导管微观结构形态观察。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。