Power Law for the Rates of Different Numbers of Chronic Diseases among Elderly Chinese People

Chronic disease is an important factor that affect the health of elderly people. We analyzed the 2006 and 2010 data from the Chinese Urban and Rural Elderly Population Surveys, which are nationally representative surveys of elderly people aged 60 years and above. We found that there existed a typical power-law distribution for the rates of different numbers of chronic diseases among elderly Chinese people. A Kolmogorov-Smirnov test indicated that the result was robust, and the power exponents were approximately ?2.5. In addition, a paired t-test was conducted, which demonstrated that the rates of different numbers of chronic diseases did not have significant urban-rural differences, time differences or gender differences.

Analysis on the law of differentiating and treating insomnia by physicians based on cluster analysis of drug syndrome

Objective:To explore the general differentiation and treatment of insomnia by Professor Gao Ying through drug clustering and group correspondence analysis,and provide reference for clinical diagnosis and treatment.Methods:Collect retrospective case data from outpatient system,use SPSS20.0 software to perform frequency and cluster analysis on high-frequency symptoms and drug data,and perform corresponding analysis on the clustered drug syndrome groups.Results:A total of 349 consultations in 204 patients were included.Cluster analysis of 35 symptoms and 40 flavors with a frequency of more than 10%resulted in a corresponding relationship between 7 symptom groups,6 drug groups and 5 drug syndrome groups.The medicine symptom group has a high degree of matching;the doctors distinguish and tre at insomnia with calming,clearing heat,nourishing yin,liver,spleen,qi and phlegm as the core treatment,with consistent decoction,two to pill,lily ground Huang Tang,Lily Zhimu Decoction,Wendan Decoction,Sini San,Xiao Chai Hu Tang,Xiaoyao San,etc.are commonly used prescriptions;the physician's experience is to add or subtract Danshen and Zao Ren drink,which has a wide range of applicability to various insomnia syndrome.Conclusion:Based on the cluster analysis of drug symptoms and group correspondence analysis,it can reveal the pathogenesis,treatment and class information hidden in the data of drug symptoms,which can reflect the general law of physicians'syndrome differentiation and treatment of insomnia.This method has a reference for the exploration of TCM clinical experience significance;The results of this study can provide feedback to guide the clinical diagnosis and treatment of insomnia.

Indigenous People’s Contribution to the Mitigation of Climate Variation, Their Perception, and Organizing Strategy for Sustainable Community Based Forest Resources Management in <i>Caraballo</i>Mountain, Philippines

The focus of the study is to measure the level of awareness of Indigenous People on Climate Variation. It inquired into their observations and organizing strategy to cope with the early impacts of climate change on their socio-economic and cultural beliefs. The organization’s adaptation and mitigation practices to protect the environment are also discussed using as basis of analysis the multi-stakeholders framework of forest protection. The study documented and recognized the Indigenous Peoples contributions to the preservation and protection of forest resources in Caraballo mountain and a shift in paradigm to Indigenous People’s centered forest resources management is recommended.

Evaluation of a School-Based Health Education Program for Urban Indigenous Young People in Australia

The aim of this study was to investigate the effectiveness of a school-based health promotion and education program in improving knowledge, attitudes, self-efficacy and behaviours of urban Indigenous young people regarding chronic disease and associated risk factors. A mixed methods approach was adopted for this evaluation;however, this paper will focus on the quantitative aspect of the study. The Deadly Choices? health education program was delivered weekly at six education facilities in Brisbane, Australia to participants from years seven to 12 over seven weeks. One school that received the Deadly Choices program the following term acted as the control group. Questionnaire data was collected immediately pre and post intervention to assess program impact. As self-reported by participants there were mostly significant improvements over time for questions relating to knowledge, attitudes and self-efficacy regarding leadership, chronic disease and risk factors within the intervention group. There were also significant changes within the intervention group regarding breakfast frequency (P = 0.002), physical activity frequency (P ≤ 0.001), fruit (P = 0.004) and vegetable (P ≤ 0.001) intake. Overall, there were few significant differences between the control and intervention groups regarding health attitudes and behaviours;however, there were considerably more improvements relating to self-efficacy and knowledge of chronic disease and associated risk factors between groups. The program also facilitated 30 Aboriginal and Torres Strait Islander health checks for participants. Deadly Choices is an innovative and comprehensive school-based program which has great potential to improve the health outcomes of Indigenous young people in urban areas by providing education in leadership and chronic disease prevention;engaging students in physical activity participation;and collaborating with health services to facilitate health checks.

Stigma and Discrimination against People Living with HIV and AIDS in Malawi

A study was conducted to explore stigma and discrimination among people living with HIV and AIDS who were on home based care in the Lilongwe district of Malawi. The study design was descriptive through sectional and utilized qualitative data collection and analysis method. Fifteen people living with HIV and AIDS, aged between 15 and 60 years were purposively sampled from three organizations, which were: Light House, National Association for people living with HIV and AIDS in Malawi and Lilongwe Diocese. Qualitative data were collected using an open ended interview guide during in-depth face to face interviews with the participants. The data were analysed using ATLAS. ti 5.0. Results show that all the participants were facing stigma and discrimination because they were living with HIV and AIDS. Distant relatives were the main source of stigma and discrimination followed by friends and church members. Most participants indicated that they felt they were discriminated because HIV infection is associated with bad behaviours such as prostitution or promiscuity. However some of them complained that they contracted the virus from their married partners and hence they did not deserve to be stigmatized or discriminated against. Results show that there is a need for creation of awareness among community members on the transmission of HIV and the need for home based care for the chronically ill people living with HIV and AIDS.

Human Rights Connotations and Contemporary Values of Traditional Chinese People-Based Thinking

The time-honored traditional Chinese minben(people-based) thinking has rich implications for human rights. The concepts of min and minben are much in line with their contemporary counterparts of "human" and "people orientation". Upholding the belief of "people as the foundation of states", minben advocates the fundamental political status of the people, and requires leaders to implement "people-oriented" policies. Its encapsulation of the theoretical foundation and basic requirements for the protection of human rights enabled it to promote the protection of people’s livelihoods and civil rights in ancient China. Its sublimation in contemporary China has had, and will continue to have, a far-reaching impact on the development of human rights in China.

如何理解和翻译“the Law of Peoples”?

在罗尔斯的后期思想和作品中 ,thelawofpeoples是一个非常重要的术语。国内日前出版的有关罗尔斯这个时期的著作 ,均将其译为“万民法”。但这种译法缺乏对西方法制史传统的照顾 ,也与罗尔斯本人的整体思想不大一致。本文以此为题展开考察和分析 ,以期能引起学术界和翻译界广泛、深刻的讨论 ,求得比较满意的结果。

On the analysis of the high-resolution sequence stratigraphy and coal accumulating law of jurassic in Ordos Basin

The strata of Jurassic was divided into three tectonic sequences and eight se- quences of third rank,according to the developing feature of the tectonic inconformity and the transforming feature of the depositional system tracts.Also the identification and the division of the base-level cycle of different period were carried through.Therefore three cycles of super period,eight cycles of long period,twenty-four cycles of middle period and some cycles of short period were identified.From the overall character of the coal-accu- mulation in the Mesozoic,we can see that the Yan'an formation is of the best nature of coal bearing.When the coal bearing systems of Jurassic were depositing,the Ordos area is the coal accumulating basin of terrene of large scale and located in the same tectonic unit.But the local structure of different part and the paleolandform are different in the basin which resulted in the difference of the depositional environment.So the layer number and the distribution of the thickness of the coal beds are different in the different part of the ba- sin.The coal-accumulating action migrated regularly along with the development,evolve- ment and migration of the depositional systems.The layer numbers of the coal beds, which can be mined,are more in the north and west fringe of the basin,whose distributing area is extensive,and they are more steady in the landscape orientation,also the total thickness is great.Therefore the nature of coal bearing and the coal-accumulating action of different part changed obviously in the space in Ordos area.

Intelligent Agent Based Mapping of Software Requirement Specification to Design Model

Automatically mapping a requirement specification to design model in Software Engineering is an open complex problem. Existing methods use a complex manual process that use the knowledge from the requirement specification/modeling and the design, and try to find a good match between them. The key task done by designers is to convert a natural language based requirement specification (or corresponding UML based representation) into a predominantly computer language based design model—thus the process is very complex as there is a very large gap between our natural language and computer language. Moreover, this is not just a simple language conversion, but rather a complex knowledge conversion that can lead to meaningful design implementation. In this paper, we describe an automated method to map Requirement Model to Design Model and thus automate/partially automate the Structured Design (SD) process. We believe, this is the first logical step in mapping a more complex requirement specification to design model. We call it IRTDM (Intelligent Agent based requirement model to design model mapping). The main theme of IRTDM is to use some AI (Artificial Intelligence) based algorithms, semantic representation using Ontology or Predicate Logic, design structures using some well known design framework and Machine Learning algorithms for learning over time. Semantics help convert natural language based requirement specification (and associated UML representation) into high level design model followed by mapping to design structures. AI method can also be used to convert high level design structures into lower level design which then can be refined further by some manual and/or semi automated process. We emphasize that automation is one of the key ways to minimize the software cost, and is very important for all, especially, for the “Design for the Bottom 90% People” or BOP (Base of the Pyramid People).

Hybrid Convolutional Neural Network for Plant Diseases Prediction

Plant diseases prediction is the essential technique to prevent the yield loss and gain high production of agricultural products.The monitoring of plant health continuously and detecting the diseases is a significant for sustainable agri-culture.Manual system to monitor the diseases in plant is time consuming and report a lot of errors.There is high demand for technology to detect the plant dis-eases automatically.Recently image processing approach and deep learning approach are highly invited in detection of plant diseases.The diseases like late blight,bacterial spots,spots on Septoria leaf and yellow leaf curved are widely found in plants.These are the main reasons to affects the plants life and yield.To identify the diseases earliest,our research presents the hybrid method by com-bining the region based convolutional neural network(RCNN)and region based fully convolutional networks(RFCN)for classifying the diseases.First the leaf images of plants are collected and preprocessed to remove noisy data in image.Further data normalization,augmentation and removal of background noises are done.The images are divided as testing and training,training images are fed as input to deep learning architecture.First,we identify the region of interest(RoI)by using selective search.In every region,feature of convolutional neural network(CNN)is extracted independently for further classification.The plants such as tomato,potato and bell pepper are taken for this experiment.The plant input image is analyzed and classify as healthy plant or unhealthy plant.If the image is detected as unhealthy,then type of diseases the plant is affected will be displayed.Our proposed technique achieves 98.5%of accuracy in predicting the plant diseases.

Tian Qiyu: Enforce Law for People and Human Rights

Editor's Note: In recent years, China's public security organs have firmly implanted the idea of enforcing the law in the interests of the people and adhered to the principle of enforcing the law strictly, impartially and in a civilized manner and dealing flows at all kinds of criminal activities. They have achieved fruitful results in protecting the lawful rights and interests of the people and in safeguarding and protecting human rights. To know such achievements, our staff reporter interviewed Tian Qiyu, executive vice-minister of public security.

农村居家养老的需求、困境及对策——基于北京市生态涵养区调研

在我国农村严重老龄化和实施乡村振兴战略的背景下,农村养老必须开创一个既能不离乡土、不离乡情,又能享受专业化、人性化供养服务的中国特色居家养老新模式。生态涵养区财政收入低、老龄化程度深、养老服务成本高,是北京农村居家养老应重点关注的区域。基于调研数据,分析北京生态涵养区农村老龄化现状和居家养老的现实需求,指出其在政策机制、财政投入、协同联动等方面存在的主要问题,并提出以下政策建议:强化顶层设计,不断优化完善农村居家养老政策机制;加大政策补贴力度,合理制定补贴内容和补贴方式;促进多部门、多主体、多措施联动,统筹谋划农村居家养老。

欠发达地区县级公共图书馆法治建设任重道远——对鄂、渝、湘、黔若干县级图书馆的调研分析

文章选取了我国欠发达地区25个县级公共图书馆,围绕《中华人民共和国公共图书馆法》的具体实施情况开展深入调查。发现当前我国欠发达地区县级公共图书馆的法治化治理水平有所提升,但地方政府依法保障的情况仍然堪忧。为此提出了4个基层公共图书馆法治建设着力点,为新时代基层公共图书馆的法治化建设和高质量发展提供参考。

全面注册制下投资者保护的制度逻辑与发展方向

证券法无论采用发行核准制抑或注册制,都以保护投资者为立法宗旨。不同于核准制下的父爱主义保护元素,注册制表达的是“卖者尽责”下的“买者自负”理念,提高了资本形成效率,弱化了前端行政审核。全面实行注册制下投资者保护的制度逻辑发生转变,需要根据证券发行市场化的特点,结合证券发行、交易和责任的逻辑关系,重新梳理投资者保护的制度体系,明确投资者保护制度的发展方向:在前端,应当以证券发行信息披露为核心,强化发行人在信息披露中的第一责任人地位,避免证券监管机关过度介入证券发行,督促保荐人等中介机构切实履行“看门人”职责;在中端,应当引入“证券市场透明度”目标,形成“身份透明”“交易前透明”和“交易后透明”的交易机制,夯实证券市场公平交易的基础;在后端,则应完善证券执法结构,提升证券执法效率,提升民事救济措施的有效性。

促进中国式现代化的发展法学理论创新

旨在解决发展问题、促进全面发展的发展法学学科,与中国式现代化发展战略存在高度耦合,提供了研究中国式现代化的新视角。中国式现代化的新发展战略与发展法学的理论创新存在双向互动关系:一方面,中国式现代化的新发展战略,构造了发展法学的新背景,要求从系统主义维度进一步创新发展法学理论;另一方面,系统主义发展法学理论在方法论、制度体系、理论体系三个维度的递进式创新,有助于促进与保障中国式现代化的实现。具体而言,在方法论创新方面,发展法学作为一门系统科学,应融入系统论方法以及结构—功能分析方法,进行以中国发展问题为中心的新综合研究,指导制度体系和理论体系的创新;在制度体系创新方面,系统发展法学理论应从促进全面发展出发,通过合理配置发展权利、义务与责任,创新促进中国式现代化的包容型制度体系;在理论体系创新方面,系统发展法学理论应从发生论、本体论、价值论、规范论、运行论、范畴论方面进一步创新,在发展研究领域建构中国自主的法学知识体系,为世界法学理论之进步与世界共同发展之实践,贡献中国方案。

论新时代人民法院能动司法的主要特征

能动司法是中国本土司法文化资源的原生性概念,是中国特色的自主司法知识体系的有机构成要素,是中国特色社会主义司法制度本质属性的集中体现,反映了马克思主义法哲学的世界观和方法论。新时代人民法院坚持能动司法,是践行习近平法治思想,着力破解司法难题,维护社会公平正义,积极主动融入国家治理、社会治理,以审判工作现代化支撑和服务中国式现代化的必然要求。新时代新征程,人民法院能动司法的内涵更加丰富、指向更加鲜明,体现了司法的政治性、人民性、法治性、协同性、综合性和有效性的有机统一,彰显了走中国特色社会主义法治道路的自信、底气和定力。坚持新时代能动司法,就是要坚持以习近平法治思想为指引,以让人民群众感受到公平正义为目标,积极主动适应中国式现代化的司法新需求,推动形成服务大局、司法为民、公正司法的生动实践。

习近平“以人民为中心”的法治理念解读

习近平法治思想是习近平新时代中国特色社会主义思想的重要组成部分,是新时代中国特色社会主义法治体系的核心和灵魂。其中兼具创造性和引领性的“以人民为中心”的法治理念,为探寻法治国家建设的方向注入了全新的价值导向。“以人民为中心”的法治理念体现了马克思主义法治观,同时也继承了中国传统文化法治观。在“以人民为中心”的法治理念指导下,我国的立法、执法和司法实践取得了重大的成就,极大地保护了人民的利益,取得了良好的社会效果。新时期需要进一步推进“以人民为中心”的法治理念的实施,必须坚持进行全过程人民民主的伟大实践,坚持以人民的满意度作为法治建设成效的最终标准,坚持造福人民保护人民的初心立场。