清代山西乡村社分制度研究

社分制度是清代村社模仿国家税收制度自发形成的一种乡村经济制度,目前在山西、内蒙古和河南等地的清代碑刻中都发现了踪影。以清代山西为例,乡村社分制度的实质是以村落为空间单位,按照地亩等占有比例向村民征收钱粮和杂役,用以建设村落公共设施和举行神庙赛社的一种经济制度。经历明代的萌芽期,乡村社分制度在康熙朝形成,至乾隆朝臻于完善,它的发展变化与国家赋税改革息息相关。社分的具体实施在三晋各地虽略有差异,但主要是按照村落内的地亩征收,另辅有人丁、牲畜以及蚕丝产量等多种均摊方式。围绕着社分征收,村社形成了严密的保障制度。社分制度的实施标志着清代山西乡村公共经济来源从依赖捐赠的无序状态进入有序、稳定的阶段,它是清代村社经济的合理补充。

福州分灯吟社唱和考论——兼及屏山环翠楼的文学活动

分灯吟社是活动于道光戊子年(1828)的一个闽中诗社。诗社的主要成员是林枫、王景贤、张振凤、林仰东、叶倬昌、谢宗善,其中林枫是代表诗人,诗社主要活动地点在屏山环翠楼。分灯吟社是福州屏山具有代表性的诗社。

少儿图书用户画像模型构建及精准营销分析——以分众传播理论为视角

分众时代,少儿图书市场竞争日趋激烈,传统营销模式缺少对消费行为的数据挖掘,营销精准性不足。用户画像模型能够提取用户的信息全貌,锁定阅读习惯和消费行为,为少儿图书的个性化内容定制和推荐提供依据;通过对模型数据的深入挖掘,可实现用户信息标签化,达到圈层精准营销目的。

清代晋东南乡村“村社”制度的逻辑体系探究

晋东南村社发轫于隋唐,持续千年,经历了宋金元的数次转型,至清代进入发展成型和稳定的时期。有清一代,以社庙为中心的村社空间布局基本形成,这是村社制度得以实施的重要前提和保障。村落中频繁的赛社祭神仪式,客观上起到了聚集社民的文化心理建设作用,同时也在仪式中确立了村社组织职责和社首权威。无论是民主遴选的社首还是按照田亩征收的社分制度,甚至于细化到村民生活方方面面的社规制度,在这一时期都得以完善,乾隆朝之后晋东南村社从无序的习俗发展成有着严密组织规范的地方自治制度。在社庙建设和村社制度的形成过程中,士绅作为四民之首,为其寻找到了合乎正统的理论基础,他们把“先王建社”“社起于亩”的信古思想赋予村社,以“神道设教”为其树立正统形象,这一自觉或者不自觉的理论定性也成为清代村社制度得以在晋东南乡村迅速发展的重要推手。

Changes in functions,forms,and locations of lead during its anthropogenic flows to provide services

Knowledge of the changes in a material’s function, form, and location during the transfer and transformation of materials to generate human services will improve our understanding of how humanity interacts with the environment and of how services are formed by human activities. We compared lead’s anthropogenic and biogeochemical cycles and found that the services, pathways, and changes in form requiring the most attention. We traced lead through its life cycle and identified the changes in its functions, forms, and locations by examining technology and engineering information. Lead ore and scrap were the two main anthropogenic sources of lead. When lead provides human services, its main functions included the storage and delivery of electricity, anti-corrosion treatments, and radiation protection; the main forms of lead in these products were Pb, PbO2 and PbSO4, and the main location changed from lithosphere in central China to regions in eastern China.

Identification of Heterogeneity of Social and Economic Environment of Land Uses in China

The robust principal component analysis （RPCA） is a technique of multivariate statistics to assess the social and economic environment quality. This paper aims to explore a RPCA algorithm to analyze the spatial heterogeneity of social and economic environment of land uses （SEELU）. RPCA supplies one of the most efficient methods to derive the most important components or factors affecting the regional difference of the social and economic environment. According to the spatial distributions of the levels of SEELU,the total land resources of China were divided into eight zones numbered by Ⅰ to Ⅷ which spatially referred to the eight levels of SEELU.

Gentrification and Residential Differentiation in Nanjing,China

The institutional environment in China has quite evidently changed during modern socio-economic transitions.Driven both by local government and by marketing force,urban social space was redistributed after the reform of urban land and real estate policies.Urban renewal makes for wide differential rent and therefore gentrification is occurring in China.This paper analyzes the background and institutional environment of gentrification in China,and further discusses the process,characteristics and evolutionary mechanisms in the case of Nanjing,through investigation of the attributes of 1075 residential communities built during the 1998-2008 at a macro level,and interviewing the residents and analyzing questionnaires in 6 different and typical communities at a micro level.As a socio-spatial course of two-way interaction,gentrification is divided into 3 stages of incubation,occurrence and fast development,according to the time of landmark events and policy reform on the leasehold of land in Nanjing during socio-economic transition.In terms of the socio-spatial characteristics of gentrification in Nanjing,the gentrification process under the trajectory of urban renewal makes urban social space present a new circle-layer structure;the rise of quite a number of gated communities results in the fragmentation of social space and privatization of public space;the management mode of modern communities and the change of life style have aggravated the indifference of neighborhood relationship of gentrified communities.Based on the empirical evidence of this study,this paper indicates that gentrification is quite different between China and western countries with respect to spatio-temporal order,dominant forces,paths of realization and spatial expression,and it further reveals the dynamic mechanism of gentrification developing in China at the present stage.

Analysis of Coupling between Soil and Water Conservation and Economic-social Development

The coupling relation exists in water and soil conser-vation and economic-social development. The article analyses the relation of soil and water conservation and economic-social development stages as well as the coupling analytical method. Then calculates the expecting income by dispersing Markov decision and calculates the correlation coefficient and the re-lationship degree. The article obtains the relationship of soil and water conservation investments and all kinds of incomes. Finally, it analyzes the important meaning in socio-economic development of water and soil conservation.

Effects of Social and Economic Development of Regions Surrounding Chao Lake on Water Quality Change of Chao Lake

The research analyzed social and economic development around Chao Lake as well as changes of water quality in Chao Lake and explored the relation- ships of local population and GDP with water chemical oxygen demand （COD）, total phosphorus （TP）, total nitrogen （TN）, chlorophyll and eutrophication index. The re- sults showed that population around Chao Lake and GDP kept growing from 2001 to 2013, and water quality was improving. In addition, correlation analysis indicated that except of water eutrophication, GDP and population showed inverse correlation with other indices, demonstrating that water quality has been effectively controlled in Chao Lake recently.

SOCIAL POLARIZATION AND SEGREGATION IN BEIJING

The biggest change in Beijing during the last decade has been in its social structure. This transition is changing the existing situation of social "equality", and leads to polarization both in individual communities and in society as a whole. As a result, social variations and conflicting interest are growing, and some new social groups are emerging. In this paper we seek to exPlore a new urban Phenomenon in post-1984 Beijing: social polarization and segregation. At first, we will discuss some.elements explaining social polarization. The elements and the processes can be traced back to two main aspects of the economic reforms, namely the internal reforms unleashing a huge rural exodus and the open door policy. Special attention will be paid to the new lower end of the social ladder, which is made up largely by rural migrantsthat make up the so-called floating population. Finally we will explore how these social changes translate into urban segregation, with some consideration for future developments.

Impact of social relationship on firms' sharing reward program

In order to make strategic decision on firms’ sharing reward program( SRP), a nested Stackelberg game is developed. The sharing behavior among users and the rewarding strategy of firms are modeled. The optimal sharing bonus is worked out and the impact of social relationships among customers is discussed. The results show that the higher the bonus,the more efforts the inductor is willing to make to persuade the inductee into buying. In addition,the firms should take the social relationship into consideration when setting the optimal sharing bonus. If the social relationship is weak,there is no need to adopt the SRP. Otherwise,there are two ways to reward the inductors. Also,the stronger the social relationship,the fewer the sharing bonuses that should be offered to the inductors,and the higher the expected profits. As a result,it is reasonable for the firms to implement SRPs on the social media where users are familiar with each other.

Governing Climate Change Adaptation in the EU and China:An Analysis of Formal Institutions

Both the European Union （EU） and China are culturally, economically, climatologically and environmentally diverse polities. The EU is a multi-state grouping of economically developed democratic countries, while China is a unitary sovereign state and a developing economy with a strong government bureaucracy. Our hypothesis is that given their diverse political systems, the EU and China would develop different kinds of systems for the governance of adaptation to climate change. We test this hypothesis through a comparative analysis of policy documents from the two study areas, in which we examine framework policies, programmatic actions and specific actions that have been adopted to date in order to address climate change, with a specific focus on the water sector. We find that climate change adaptation began to be addressed through formal policy on a similar timeline in the two regions. The EU and China are also similar in that they use framework laws and existing sectoral policy, such as for the water sector. We find that the EU has primarily relied on integration of climate change adaptation concerns through legal instruments which set a framework for implementation of adaptation policy. In China, specific actions to be incorporated in socio-economic development plans under the existing legislation on adaptation have been the main mode for integrating adaptation into sectoral actions, though the future trend may be to develop more regulations.

Social Construction Functions of Consumption Space under Stratification:The Case of Guangzhou

As Chinese cities rapidly transformed themselves into consumerist societies,the relationship between consumers and consumption space under stratification has become a new research area in the field of urban social geography.Based on a consumer behavior analysis,this study explores the relationship between consumption space and the social strata of consumers in typical shopping malls in Guangzhou where the first shopping mall in China was built.The result shows that shopping malls have performed significant constructive functions of organizing consumers from different social classes into different consumption space.For middle-and upper-class consumers,the function of shopping malls centers on utilitarian consumption,identity recognition,and identity construction;whereas for lower-class consumers,its function revolves around pleasure and enjoyment.The symbolism of consumption space is the underlying reason for shopping malls to have their social constructive function.The findings of this research suggest that:1) a shopping mall is a productive consumption space and a geographical space with subjectivity;2) the micro-location of a shopping mall has social construction function;and 3) symbolic consumption is the core of social construction.

Rome Ⅲ survey of irritable bowel syndrome among ethnic Malays

AIM:To survey irritable bowel syndrome(IBS) using Rome Ⅲ criteria among Malays from the north-eastern region of Peninsular Malaysia.METHODS:A previously validated Malay language Rome Ⅲ IBS diagnostic questionnaire was used in the current study.A prospective sample of 232 Malay subjects(80% power) was initially screened.Using a stratified random sampling strategy,a total of 221 Malay subjects(112 subjects in a "full time job" and 109 subjects in "no full time job") were recruited.Subjects were visitors(friends and relatives) within the hospital compound and were representative of the local community.Red flags and psychosocial alarm symptoms were also assessed in the current study using previously translated and validated questionnaires.Subjects with IBS were sub-typed into constipation-predominant,diarrhea-predominant,mixed type and un-subtyped.Univariable and multivariable analyses were used to test for association between socioeconomic factors and presence of red flags and psychosocial alarm features among the Malays with IBS.RESULTS:IBS was present in 10.9%(24/221),red flags in 22.2%(49/221) and psychosocial alarm features in 9.0%(20/221).Red flags were more commonly reported in subjects with IBS(83.3%) than psychosocial alarm features(20.8%,P < 0.001).Subjects with IBS were older(mean age 41.4 years vs 36.9 years,P = 0.08),but no difference in gender was noted(P = 0.4).Using univariable analysis,IBS was significantly associated with a tertiary education,high individual income above RM1000,married status,exsmoker and the presence of red flags(all P < 0.05).In multiple logistic regression analysis,only the presence of red flags was significantly associated with IBS(odds ratio:0.02,95%CI:0.004-0.1,P < 0.001).The commonest IBS sub-type was mixed type(58.3%),followed by constipation-predominant(20.8%),diarrheapredominant(16.7%) and un-subtyped(4.2%).Four of 13 Malay females(30.8%) with IBS also had menstrual pain.Most subjects with IBS had at least one red flag(70.8%),12.5% had two red flags and 16.7% with no red flags.The commonest red flag was a bowel habit change in subjects > 50 years old and this was reported by 16.7% of subjects with IBS.CONCLUSION:Using the Rome Ⅲ criteria,IBS was common among ethnic Malays from the north-eastern region of Peninsular Malaysia.

Smart Cities as Cyber-Physical Social Systems

The emerging prototype for a Smart City is one of an urban environment with a new generation of inno- vative services for transportation, energy distribution, healthcare, environmental monitoring, business, commerce, emergency response, and social activities. Enabling the technology for such a setting re- quires a viewpoint of Smart Cities as cyber-physical systems （CPSs） that include new software platforms and strict requirements for mobility, security, safety, privacy, and the processing of massive amounts of information. This paper identifies some key defining characteristics of a Smart City, discusses some lessons learned from viewing them as CPSs, and outlines some fundamental research issues that remain largely open.

An Overview of Social Analysis from Mobile Telephone Calls of Different Operators

We construct a call network digraph G with attribution using mobile phone call records within 21 days collected by three operators and analyze the social call behavior features through analyzing the degree distribution of nodes of the network digraph under the help of Graphx based on the Spark Platform.We get the following social conclusions from the communication relationship between phone users:on average,users make about5~7 mobile telephone calls and connect about2~3 persons one day;on weekends,people make less calls but spend longer time on each call,revealing that working calls account for a large part of calls on weekdays;among these telephone calls on weekdays,most are less than one minute,and on average,mobile users that call more people also tend to be called by more individuals.

An efficient shortest path approach for social networks based on community structure

Finding the shortest path （SP） in a large-scale network analysis between any two nodes is a tough but very significant task. The SP can help us to analyze the information spreading performance and research the latent relationship in the weighted social network, and so on. As the size of the social network increases, the traditional SP algorithms have poor performance and there is not a suitable algorithm for weighted social network. Some features of the network analysis are beneficial to solve this problem, and community structure ignored by the traditional methods is one of the most important features. In this paper, we propose a shortest path algorithm based on community detection （SPCD） by integrating community detection algorithm with traditional search methods. SPCD constructs a community graph by using community structure to narrow the searching scope. The algorithm presented improves the time efficiency and maintains the accuracy scale of the SR Experimental results on five real-world networks demonstrate the effectiveness of the proposed methods for the SP problem.

An Improved FN Algorithm for Community Division of Air Route Network

Community division is an important method to study the characteristics of complex networks.The widely used fast-Newman(FN)algorithm only considers the topology division of the network at the static layer,and dynamic traffic flow demand is ignored.The result of the division is only structurally optimal.To improve the accuracy of community division,based on the static topology of air route network,the concept of network traffic contribution degree is put forward.The concept of operational research is introduced to optimize the network adjacency matrix to form an improved community division algorithm.The air route network in East China is selected as the object of algorithm comparison experiment,including 352 waypoints and 928 segments.The results show that the improved algorithm has a more ideal effect on the division of the community structure.The proportion of the number of nodes included in the large community has increased by 21.3%,and the modularity value has increased from 0.756 to 0.806,in which the modularity value is in the range of[-0.5,1).The research results can provide theoretical and technical support for the optimization of flight schedules and the rational use of air route resources.

Social Network Information Propagation Model Based on Individual Behavior

In this paper, we discuss building an information dissemination model based on individual behavior. We analyze the individual behavior related to information dissemination and the factors that affect the sharing behavior of individuals, and we define and quantify these factors. We consider these factors as characteristic attributes and use a Bayesian classifier to classify individuals. Considering the forwarding delay characteristics of information dissemination, we present a random time generation method that simulates the delay of information dissemination. Given time and other constraints, a user might not look at all the information that his/her friends published. Therefore, this paper proposes an algorithm to predict information visibility, i.e., it estimates the probability that an individual will see the information. Based on the classification of individual behavior and combined with our random time generation and information visibility prediction method, we propose an information dissemination model based on individual behavior. The model can be used to predict the scale and speed of information propagation. We use data sets from Sina Weibo to validate and analyze the prediction methods of the individual behavior and information dissemination model based on individual behavior. A previously proposedinformation dissemination model provides the foundation for a subsequent study on the evolution of the network and social network analysis. Predicting the scale and speed of information dissemination can also be used for public opinion monitoring.

Impact of thumb up sharing advertising in social media

“Thumb up advertising”is a new and effective way to spread shared advertising in social media.How the retailer adapts“thumb up advertising”in marketing with a game theory model is analyzed.The results show that when the retailer chooses to thumb up the advertising in Moments,a higher reward will increase the equilibrium price but hurt the retailer s expected profit;if the consumers can more easily reach the thumb up amount,the retailer will charge a higher price,and possibly gain more profit.When the retailer chooses thumb up at the end of the advertising context,a higher reward will increase the equilibrium price and the retailers expected profit will increase/decrease.If the consumers are easier to reach the thumb up amount,the retailer will charge a higher price,and may get more profit.If a consumer s click cost of clicking the sharing advertising is higher,the retailer charges a lower price;and if the consumer s additional perceived value from the advertising is higher,the retailer charges a higher price and reaps more profit.