Research on the problem of providing for the stayed elderly in rural areas:Based on Dali town, Shunchang county, Nanping City

近四十年来，由于农村人均可耕地面积的减少，城乡收入差距很大，为了提高生活质量，大量的农民涌入城市打工，但是许多孩子、老人甚至妇女却留在家里，成为“留守人员”，留守人员中的老人就称为留守老人。 养老一直是个老生常谈的话题，尤其是农村留守老人的养老问题，更是国家和社会关注的难点和热点。目前，养老产业正处于“三期叠加”的全面爆发前夕，加快推进养老服务业发展，是积极应对人口老龄化，满足持续增长的养老服务需求，也是全面实现“十三五”规划的一项紧迫任务。 本文结合作者自身工作环境和特点，以南平市顺昌县大历镇为例，在国内外已有的相关文献进行梳理的基础上，以问卷调查、个别访谈的方法，对顺昌县大历镇的留守老...Since China’s reform and opening-up to the outside world, the income gap of the urban and rural residents has become increasingly wider. Due to the reduction of cultivable land per capita in rural areas, farmers’ income from traditional cultivation doesn’t keep up with the economic development, thus more and more farmers choose to go to the cities and become migrant workers. This increases the fam...学位：公共管理硕士院系专业：公共事务学院_公共管理硕士学号：1392013115046

Research of Latent Semantic Discovery Model Based on Sentiment and Heterogeneous Data Integration

生物医学数据的数量正在爆炸式地增长，如此海量的数据给医学科学家研究新药带来丰富的理论支持，但研究者们通宵达旦地阅读文献也不及其增长速度，更不用说抽取出隐藏在其中的信息。因此从生物医学数据中自动提取和分析信息的系统变得越来越重要。本论文对科学文献中生物本体间的情感关系表达、潜在关系抽取以及异源异构数据融合三个方面进行研究。 随着信息存储多样化的发展，从单一的数据源中抽取信息有时不能满足科研工作者的知识需求，因此要求异源异构数据能实现集成信息服务,达到跨异构库知识发现的目的。为了解决该问题，本论文研究了基于数据融合和基于结果融合的两种潜在语义分析模型，前者将预处理后的数据源进行集成为一个数据集，然后继续对其进行分析。后者先独立地分析各数据源最后将结果集成。本论文通过实例验证，验证了两种集成方法的可行性和有效性。 本论文利用基于图的半监督学习算法，即标注传递算法，来自动识别出生物实体之间的情感关系表达。目前，大部分研究都采用有监督学习方法，而且通常能取得较好的性能，但是基于有监督学习的关系抽取模型需要大量有标签的训练数据作为样本集，这将需要花费大量的人力和时间，降低效率。而标签传递算法把标签信息从图中的任意一个节点通过加权的各边循环地传递到附近的其他节点,最终达到全局稳定从而推导出未标签节点的标注信息数据，实现当训练数据不足时改善学习性能。 本论文利用基于上下文环境的ABC模型去发现潜在关系，该模型能够挖掘多层级实体的潜在关系，从而获得更全面的结果数据。而且本论文跨越传统的数据构建方法，不用疾病-药物之间的关系直接检索，而是采用非相关关系的数据集作为数据源，即疾病-基因、基因-药物之间的关系，从而能够更全面的分析出疾病与药物之间的非相关潜在关系。The number of biomedical data is growing explosively, such vast amounts of data brings abundant theoretical support for biomedical scientists researching new drugs, but even if they read the literatures day and night, they will not read all, let alone extract hidden information. So, the system of auto-extracting and analyzing information from biomedical data is more and more important. Meanwhile, with the development of biomedical study, the single data source can already not meet the increasing information needs so auto-discovery relationship model from heterogeneous data becomes very important in biomedical domain. The dissertation mainly studies emotional relationships between biological ontologies in biomedical literature, the potential relation extraction, as well as heterogeneous data integration. With the number of information format stored increasing ,the information drawn from single data source has been already unable to meet the information needs of researchers , thus scientific databases and scientific literature are required to achieve data integration, to discovery knowledge across the heterogeneous database. The dissertation studies two latent semantic analysis models, namely the Latent Semantic Analysis model based on results integration, and Latent Semantic Analysis model based on data integration. The former first analyzes data source , then integrates all results .And the latter integrates intermediate results to a new data set, and then continues analysis . The experiment verifies the feasibility and effectiveness of the two methods. The dissertation uses graph-based semi-supervised learning algorithm, label propagation method ,to automatically identify the relationship between biological entities. Extracting sentiment relationships between entities from the text automatically is an important direction in the field of text mining. Currently, supervised learning method is used in most of the studies, and usually performance nicely, but a large number of labels are required as sample set of training data, which will cost a lot of manpower and time, so that reducing efficiency. The label propagation method passes tag information from any node in the figure to other neighboring nodes by weighted edge recurrently, eventually reaching global stability so as to deduce the information data on not label node. And it can improve learning performance when the training data is not enough. In this dissertation, context -based ABC model is used to discover the multi-level potential relationship entities , and the non-correlation data sets, the relationship of disease-gene and gene-drug, is used as data source instead of traditional construction method, the relationship between disease-drug directly, to analyze more comprehensive potential relationship between disease and drug.学位：工程硕士院系专业：软件学院_软件工程学号：2432011115229

Research of Latent Semantic Discovery Model Based on Sentiment and Heterogeneous Data Integration

生物医学数据的数量正在爆炸式地增长，如此海量的数据给医学科学家研究新药带来丰富的理论支持，但研究者们通宵达旦地阅读文献也不及其增长速度，更不用说抽取出隐藏在其中的信息。因此从生物医学数据中自动提取和分析信息的系统变得越来越重要。本论文对科学文献中生物本体间的情感关系表达、潜在关系抽取以及异源异构数据融合三个方面进行研究。 随着信息存储多样化的发展，从单一的数据源中抽取信息有时不能满足科研工作者的知识需求，因此要求异源异构数据能实现集成信息服务,达到跨异构库知识发现的目的。为了解决该问题，本论文研究了基于数据融合和基于结果融合的两种潜在语义分析模型，前者将预处理后的数据源进行集成为一个数据集，...The number of biomedical data is growing explosively, such vast amounts of data brings abundant theoretical support for biomedical scientists researching new drugs, but even if they read the literatures day and night, they will not read all, let alone extract hidden information. So, the system of auto-extracting and analyzing information from biomedical data is more and more important. Meanwhile,...学位：工学硕士院系专业：软件学院_计算机软件与理论学号：2432011115229

若干图类的常返构型

研究图上Abelian沙堆模型的常返构型问题,证明了图的常返构型与子图的常返构型的关系.进一步地,将其应用到具体图类,得到单圈图、lollypop图、dumbbell图的常返构型

Concentrations and distribution of polycyclic aromatic hydrocarbons in surface sediments at western Xiamen Bay and assessment of their ecological risk

2004年11月30日至12月1日连续两天采集厦门西海域10个站位表层沉积物样品,参照美国EPA标准方法及采用气相色谱与质谱联用(GC/MS)技术,对表层沉积物样品中的多环芳烃(PAHs)进行测定分析。结果表明,厦门西海域表层沉积物样品中16种PAHs的总含量为198.2—1061.6 ng.g-1,平均值为723.51 ng.g-1,能检出的PAHs均以2—4环的芳香物为主;10个站位中X1、X2、X3、X6及M2站位的PAHs主要来源于化石燃料的不完全燃烧,其他站位以石油泄漏为主要来源。对PAHs的生态风险评价结果表明,厦门西海域表层沉积物中PAHs的环境毒性相对较低,说明该海域表层沉积物中PAHs对生物的危害程度较轻。Surface sediment samples at 10 sites of the western Xiamen Bay were collected on November 30 and December 1 of 2004.The U.S.EPA analytical methods were employed to examine polycyclic aromatic hydrocarbons(PAHs),and the concentrations of PAHs were determined by GC/MS.The results showed that the total concentrations of 16 PAHs varied from 198.2 to 1061.6 ng·g-1 dry weight,with an average of 723.51 ng·g-1.The dominant compositions are low molecular weight PAHs with 2—4 rings.The sources of PAHs in the sediments at X1,X2,X3,X6,and M2 sites were mostly from incomplete combustion of fossil fuel.The main possible sources of PAHs in the sediments at other sites were identified as oil spills.The toxicity of PAHs in the sediments at western Xiamen Bay was relatively low based on the assessment result of their ecological risk.福建省科技重点资助项目(2004I001

Study on the Release Kinetics of Cr From Marine Dredged Materials With Oxalate Acid

采用恒温振荡实验装置,系统研究了有机酸草酸降解海洋疏浚物中重金属Cr的动力学过程。结果表明,恒温振荡6 H后,浓度为0.05--0.4 MOl/l的草酸可使Cr的释放百分率达到24%--44%。Cr的释放总体上可分为快速反应和慢速反应2个阶段,0--2 H为快反应阶段,解吸速率快,2--6 H后为慢反应阶段。草酸对Cr的释放动力学数据可用双常数方程很好的拟合,说明在草酸的存在下,疏浚物颗粒表面对Cr的释放可能更多表现出能量的不均匀性。温度升高时Cr的解吸量增加,反应速度加快,根据阿累尼乌斯公式估算出的活化能为26.53 kJ/MOl。The kinetic release behavior of heavy metal Cr from marine dredged material with oxalate acid solution is investigated by isotherm shaking device.The results show that the release percentage of Cr from dredged material with 0.05～0.4 mol/L oxalate acid in six hours reaches 24%～44%.The kinetic characteristics of heavy metal Cr is divided into two stage reactions of rapid and low desorption.When using oxalate acid as extracting solution,the data of release kinetics of Cr from dredged material conforms to the double constant equation,it implies that organic acid induced the energy uniformity of the release of Cr from dredged material.The amount of desorption increases and velocity of desorption speeds up with the increase of temperature.The activation energy calculated according to Arrhenius equation should be 26.53 kJ/mol.福建省科技重点资助项目(2004I001

Distribution of PCBs Concentrations in Dredged Materials of Xiamen Western Bay and Ecological Hazard Assessment

对厦门西海域拟疏浚物中的PCBs含量及分布特征进行了调查,结果表明,厦门西海域拟疏浚物中PCBs为0.17 ng/g～30.3 ng/g,其中马銮湾2个站位PCBs的总含量高于《海洋沉积物质量》(GB 18668-2002)一类标准值。生态风险评价结果显示厦门西海域拟疏浚物中多氯联苯的环境毒性相对较低。The concentration and distribution of PCBs in the dredged materials on the western bay of Xiamen were investigated.The results indicated the concentrations of the dredged material samples varied from 0.17 ng/g to 30.3 ng/g.The PCBs concentrations of all sampling sites were lower than the value of Category Ⅰ of Quality Standards for Ocean Sediment(State Standard 18668-2002)except two in the Maluan bay.The ecological risk assessment showed the relative low PCBs level in the Xiamen dredged materials was relative low toxicity to the environment.福建省科技重点基金资助项目(2004I001

疏浚物去污染技术的研究进展

世界各国的沿海和内陆城市的河流湖泊以及海湾均需进行疏浚,而如何安全经济地处理和处置疏浚物已成为迫切需要解决的难题。目前国外对疏浚物处理技术的研究已取得了一定的成果,但大多数处理技术仍停留在实验室和中试阶段。文章综述了目前国外主要的8种疏浚物处理方法,详细地介绍和评述了各方法的原理、特点、处理效率和优缺点,并介绍了这些方法的发展动向和前景,尤其是美国在处理疏浚物方面的研究现状和进展。福建省科技重点项目(2004I001

奥沙利铂/亚叶酸/氟尿嘧啶双周静脉给药(mFOLFOX6方案)治疗晚期胃癌22例

目的探讨奥沙利铂、亚叶酸、氟尿嘧啶双周静脉给药(mFOLFOX6方案)治疗晚期胃癌的疗效和毒性。方法22例具有可测量病灶的胃腺癌患者纳入本研究。患者接受奥沙利铂85 mg/m2(2 h静脉滴注),亚叶酸350 mg(2 h静脉滴注),氟尿嘧啶0.4 g/m2(2~4 min静脉推注)、氟尿嘧啶2.4 g/m2(46 h持续静脉滴注),每2周重复,6周为1个疗程。结果22例中有20例可评估疗效,所有患者均可评估毒性。病人每6周评估疗效。在20例可评估疗效的病例中,部分缓解7例(35.0%),稳定8例(40.0%),疾病进展5例(25.0%)。中位进展时间5.0个月,中位生存时间9.6个月。3、4级中性粒细胞减少3例(13.6%),发热性粒细胞减少1例(4.5%);3、4级贫血1例(4.5%);3、4级腹泻2例(9.1%);3、4级口腔黏膜炎2例(9.1%);1、2级外周神经损害9例(40.9%)。无治疗相关死亡。结论奥沙利铂、亚叶酸、氟尿嘧啶双周方案治疗晚期胃癌在客观有效率、中位疾病进展时间、中位生存期等方面与其他联合化疗方案相近,不良反应显著减轻

Avalanche Sizes of the Abelian Sandpile Model on Unicyclic Graphs

研究图上AbElIAn沙堆模型问题.首先给出关于沙堆模型常返构型的极大雪崩序列,然后刻画了一些雪崩性质.基于这些性质,我们确定了单圈图的基本雪崩中每个顶点的TOPPlIngS数及它的雪崩多项式,推广了r.COrI的结果.We first give a definition of a maximal avalanche sequence for a configuration of the Abelian sandpile model and characterize some avalanche properties.Applying these properties to unicyclic graphs, we determine their number of topplings on each vertex in principal avalanches and avalanche polynomials of the Abelian sandpile model, which generalizes R.Cori's results on cycles.supportedbyNSFC(11171279;11101358); theNSFofFujian(2012D140); theScientificResearchFundofFujianProvincialEducationDepartment(JA12208;JA12266); theScientificResearchFoundationofGuangxiEducationCommittee(200103YB069); theDoctorFoundationofMinnanNormalU