Research on The Traditional Opera of Wu Bing

整个晚明社会在政治、经济、文化等方面发生着巨大的变化。处于社会核心地位的士大夫们，其文化心理自然亦呈现出鲜明的时代特点。任何一个历史人物，既是独立的个体，也是社会的组成部分。吴炳作为一位有一定政治力量，同时又兼具文化素养的文人，他的种种表现和其创作的作品都会受到社会政治状况和思想文化的影响。 吴炳在很长一段时间里被后人归入临川派，虽然这样的分类并不是完全正确。但深入分析其作品我们可以发现，他接受了汤显祖关于“真情”的阐述。吴炳意识到作家一定要将真情实感放入作品中，使得戏曲人物在感情的世界里得到生命。吴炳努力继承与发扬前辈的观点，并积极将其与自身观点相结合。本文就是在详细介绍吴炳的“主情说”下...In the latter Ming Dynasty, the society was having huge change on politics, economy and culture and so on. The literati and officialdom in feudal China had been rocked by it. Many people betrayed their belief. As to Wu Bing, we can get some information that he was very honest and responsible from his experience and works. Though some people disagreed with it that Wu Bing has been thought as a mem...学位：文学硕士院系专业：人文学院中文系_艺术学学号：2005130008

Application of Neural Networks based on Monte-Carlo-Adaptation Rule in Index Futures Price Prediction

沪深300股指期货在中国上市已经有四个年头，它在金融市场中扮演着分散风险的重要角色，不仅为机构投资提供了一种降低系统风险的渠道，也为投机者提供了一种高风险、高收益的投资机会。然而股票市场风云变幻，以其为标的物的股指期货价格也随之剧烈波动，加之期货交易自身的高杠杆性，也给投资者带来巨大的风险。因此股指期货的价格预测，一直是相关领域研究的热点问题。随着人工神经网络技术的发展，其强大的非线性逼近能力很快被用于各种金融问题的研究中。但是传统的人工神经网络方法也存在一些缺陷，例如容易对学习样本过拟合而降低泛化能力，参数优化等问题。本文将基于随机变异-优化选择规则（MCA）设计的神经网络用于股指期货的价格...Hushen 300 index futures has been on the market for four years, and play a important role in risk distribution of China's financial market: institutional investors use it to avoid systemic risk and speculators use it to get a higher risk-reward. But the stock market swings and high leverage trait put investors into a big risk, finding a way to forecast the futures price is a center problem for eve...学位：理学硕士院系专业：物理与机电工程学院_理论物理学号：1982011115286

艺·忆·意——福州大学厦门工艺美院(鼓浪屿校区)文化提升与艺术重塑工程

工艺美院自1952年创办以来,办学成果驰名中外。校园内林立着各种不同风格的建筑,但因鼓浪屿校区的规模有限,工艺美院的进一步发展受到了很大限制。自校园整体搬迁至今,鼓浪屿校区已荒废近十年。因此,本项目以艺术为主题,力求使校园旧建筑在鼓浪屿这颗世遗明珠之上重新焕发出生机与活力。基于此,文章主要从艺术—文化性、记忆—原真性、意境—整体性出发,介绍工艺美院的整治提升策略,并以此项目为旧建筑再利用提供具有可操作性的指导。国家自然科学基金(51878581);;福建科技厅软科学项目(2018R0091

A Prototype of A Maritime City:A Public Service Platform for Ocean-going-Fisheries

几千年来人类活动在陆地上取得翻天覆地的进步,而在海洋上的活动相比较而言变化较慢。主要原因不仅仅是科技的限制,也是海洋活动的组织形式长期没有突破。; 陆地上城市的组织形式由一开始的游牧聚落逐渐发展到后来的定居,接着在规模上由村到镇,最后形成城市。海上城市和陆上城市最基本的区别在于一个在土地上、; 一个在水上。而实际上现代技术完全可以弥补两者的物质形态的差别,但是由于高昂的运营成本使得海上城市一时难以发展。设想,在现代技术的基础上,如果有一; 种商业模式可以平衡海上城市的运营成本,那么海上生活的梦想是不是离我们更进一步了呢?本文从城市的公共服务特性出发,在远洋渔业方面探索一个海上城市组; 织建设的模式。For thousands of years, human activities have made great progress on; land, while activities on the oceans have changed slowly.The main reason; is not only because of the limitation of science and technology, but; also due to there is no breakthrough of the organizationof marine; activities in the long run. The organization of the city on the land; gradually developed from the nomadic life in the beginning to thesettled; life, whose scale is from the "village" to "town", and finally to the; formation of "city". The most basic difference between the oceancity and; the land city is the existence form of material, for which modern; technology can make up. However, thanks to the high operatingcosts, the; ocean city is difficult to develop. Imagine, if there is a business; model can balance the operating costs of the ocean city on the basisof; modern technology, isn't the dream of life on ocean a step further from; us? Based on the characteristics of urban public service, this; paperexplores a model of marine city organization construction in ocean; fishery

Classification method of diabetes based on integration of characteristic classifier

目的:结合医用电子鼻技术,探讨糖尿病患者及其口腔呼气的气味图谱特征。方法:选择180例糖尿病患者和100例健康者,用医用电子鼻采集280例口腔呼气的气味图谱,采用基于数据特征划分的方法,用支持向量机和随机森林集成模型对糖尿病患者进行分类预测。结果:1线性核函数的支持向量机(SVM1)分类结果不是很理想,低于多项式核(SVM2)、径向基函数核(SVM3)和随机森林(RF)3种分类器,说明分类超平面显然是非线性的;2集成分类器对糖尿病患者和健康者的气味图谱特征的识别准确率可达88.04%。结论:基于特征划分的分类器集成方法预测性能明显好于单一分类器,为使用医用电子鼻进行糖尿病诊断分析提供了一种有效手段。Objective: To discuss the proi le features of oral odor of diabetic patients based on medical electronic nose technology. Methods: 180 patients of diabetes and 100 healthy people were selected, and the proi le features of oral odor of 280 volunteers were collected by using medical electronic nose. The classii cation forecasting was carried out on diabetic patients by using support vector machine(SVM) and random forest integration model based on partitioning method of data characteristics. Results: 1The classii cation result of SVM1 was not very good, which was lower than that of SVM2, SVM3 and RF, and the result showed that the classii cation hyperplane is nonlinear. 2The accurate rate of recognition of integrated classii er on diabetic patients and healthy people is 88.04%. Conclusion: The forecasting performance of classii er integration method based on feature division is superior to that of single classii er signii cantly, which provided an ef ective means for the diagnostic analysis of diabetes based on medical electronic nose.国家自然科学基金项目(No.81373552);; 福建省教育厅A类项目(No.JA14212);; 福建工程学院科研启动项目(No.GY-Z12079)~

Effect of the Work Mode of “Co - management of Doctors of Three Kinds” on Residents＇ Willingness of Community First Diagnosis in Xiamen.

目的：了解厦门市“三师共管”慢病管理模式对居民社区首诊行为的影响。方法：根据经济水平和分级诊疗开展状况，抽取厦门市5个社区，采用自行设计的问卷开展调查；应用x^2检验和logistic回归模型分别对居民社区首诊行为的影响因素进行单因素和多因素分析。结果：共调查400名社区居民，回收有效问卷399份。被调查的社区居民中了解“三师共管”者占37．3％；加入“三师共管”者占21．8％；53．4％的社区居民首诊医疗机构为社区医院。单因素分析结果显示，了解“三师共管”和加入“三师共管”者选择社区医院首诊比例更高（P〈0．001）。多因素logistic回归分析结果显示，了解“三师共管”者选择社区医院首诊是不了解者的2．49倍（OR=2．49，95％CI=1．44—4．30）；加入“三师共管”者选择社区医院首诊是不了解者的2．12倍（OR=2．12，95％CI=1．11～4．06）；了解且加入“三师共管”者、不了解但加入“三师共管”者和了解但未加入“三师共管”者社区医院首诊行为是不了解且未加入“三师共管”者的3．09倍（OR=3．09，95％CI=1．38～6．95）、2．94倍（OR=2．94，95％CI：1．54～5．59）和3．07倍（OR=3．07，95％CI=1．16～8．15），．结论：“三师共管”模式对居民社区首诊行为有积极影响，且了解和加入该模式的联合作用效果更好，为巩固改革效果还需要进一步提升“三师共管”模式的知晓率和管理率。Objective To get knowledge of the effect of chronic disease management mode of “co - management of doctors of three kinds” on residents＇ willingness of community first visit behavior in Xiamen. Methods According to the economic levels and the status of implementation of hierarchical medication in different regions of Xiamen, we sampled five communities as our research objects. Self - designed questionnaire was used to get information from the participants. Chi - square analysis and logistic regres- sion models were used to explore the influence factors of residents ＇ willingness to choose community as first visit. Results Totally, 400 community residents were investigated in our research, and 399 valid questionnaires were collected. The awareness rate of the management mode of “co -management of doctors of three kinds” among the residents was 37.3%. The participation rate of the work mode was 21.8% ; and 53.4% of the residents will choose community as their first visit medical institution. Univariable a- nalysis results showed that residents who have known and joined this work mode will be more willing to choose community for their first medical visit （ P 〈 0. 001 ）. Muhivariable logistic regression analysis results showed that the odds ratio（OR） of choosing com- munity hospital at first visit was 2.49, comparing those who were aware of the work mode to those who were not （ 95 confidence in- terval [ CI ] = 1.44 - 4. 30） ; similarly, having participated in the work mode of “co - management of doctors of three kinds” were more likely to choose community hospital, compared with those who knew nothing about it （OR = 2. 12, 95% CI = 1.11 4.06）; the ORs were 3.09 （95%CI = 1.38 -6.95）, 2.94 （95%CI = 1.54N5.59）, 3.07 （95%CI = 1.16-8.15） re- spectively, when comparing those who knew and joined it, or those who didn＇ t know but took part in it, or those who knew but haven＇ t participated in it, to those who did neither know nor join it. Conclusion The study indicates that国家自然基金青年项目“基于医疗支出SD建模的老年医疗保障制度优化研究”（编号：71403229）;厦门市慢病管理（高血压、糖尿病）的经济学评价（编号：XDHT2015591A）;福建省自然科学基金面上项目（编号：2017J01133

台风灾害下海岸带城市社会-生态系统脆弱性评估——大数据视角

2016年莫兰蒂台风对厦门城市社会-生态系统造成重创,该系统在灾害影响下的脆弱性成为亟待研究的重要问题。基于新浪微博平台进行大数据挖掘,结合统计年鉴及空间基础数据,建立台风灾害影响下基于暴露-敏感-应对-恢复力体系的海岸带城市社会-生态系统脆弱性指标体系,评估灾前灾后台风对厦门不同地区的影响;同时根据微博大数据的定位信息,对不同受灾信息进行灾情跟踪及分析,结果表明,在本次台风灾害中思明、湖里区表现出的脆弱性较低,而海沧、集美区表现出的脆弱性较高,主要是由于思明、湖里区的应对能力明显高于其他各区,从大数据显示的恢复情况来看,除海沧区外,其他三区在电力方面的恢复速度都较为迅速。研究成果能够为台风灾害背景下的城市脆弱性评价提供新的方法与技术,为灾前防治、灾后恢复提供决策参考。国家重点研发计划(2016YFC0502904)厦门大学大学生创新创业训练计划项目(103842017103

台风灾害下海岸带城市社会-生态系统脆弱性评估——大数据视角

2016年莫兰蒂台风对厦门城市社会-生态系统造成重创,该系统在灾害影响下的脆弱性成为亟待研究的重要问题。基于新浪微博平台进行大数据挖掘,结合统计年鉴及空间基础数据,建立台风灾害影响下基于暴露-敏感-应对-恢复力体系的海岸带城市社会-生态系统脆弱性指标体系,评估灾前灾后台风对厦门不同地区的影响;同时根据微博大数据的定位信息,对不同受灾信息进行灾情跟踪及分析,结果表明,在本次台风灾害中思明、湖里区表现出的脆弱性较低,而海沧、集美区表现出的脆弱性较高,主要是由于思明、湖里区的应对能力明显高于其他各区,从大数据显示的恢复情况来看,除海沧区外,其他三区在电力方面的恢复速度都较为迅速。研究成果能够为台风灾害背景下的城市脆弱性评价提供新的方法与技术,为灾前防治、灾后恢复提供决策参考。国家重点研发计划(2016YFC0502904)厦门大学大学生创新创业训练计划项目(103842017103

台风灾害下海岸带城市社会-生态系统脆弱性评估:大数据视角

2016年莫兰蒂台风对厦门城市社会-生态系统造成重创,该系统在灾害影响下的脆弱性成为亟待研究的重要问题。基于新浪微博平台进行大数据挖掘,结合统计年鉴及空间基础数据,建立台风灾害影响下基于暴露-敏感-应对-恢复力体系的海岸带城市社会-生态系统脆弱性指标体系,评估灾前灾后台风对厦门不同地区的影响;同时根据微博大数据的定位信息,对不同受灾信息进行灾情跟踪及分析,结果表明,在本次台风灾害中思明、湖里区表现出的脆弱性较低,而海沧、集美区表现出的脆弱性较高,主要是由于思明、湖里区的应对能力明显高于其他各区,从大数据显示的恢复情况来看,除海沧区外,其他三区在电力方面的恢复速度都较为迅速。研究成果能够为台风灾害背景下的城市脆弱性评价提供新的方法与技术,为灾前防治、灾后恢复提供决策参考。国家重点研发计划（２０１６ＹＦＣ０５０２９０４）；厦门大学大学生创新创业训练计划项目（１０３８４２０１７１０３

银纳米线涂层的编链结构纱线拉伸应变传感器

为制备柔性纱线拉伸应变传感器,将蚕丝加捻得到的蚕丝纱编织为闭口编链组织结构;通过多元醇还原硝酸银的方法制备银纳米线,在银纳米线的乙醇分散液中通过浸渍方法对基底纱线进行导电修饰,最终得到银纳米线涂层的编链组织拉伸应变传感器,研究了该组织结构拉伸应变传感器的应变-电阻传感性能。结果表明:编链组织结构的传感器具有显著的拉伸应变传感性能,该纱线传感器的电阻随着应变量的增加而减小;在拉伸应变小于5%的范围内,拉伸应变系数高达20. 14;传感器在0. 01～1. 00 Hz的拉伸频率范围内有稳定的响应,且传感器具有很好的循环稳定性。国家重点研发计划项目(2016YFC0802802