Social Factors Affecting Wetlands Utilization for Agriculture in Nigeria: A case study of sawah rice production

Wetlands have immense poverty-fighting potentials and in Nigeria, more and more people are dependent on wetlands for their livelihoods. To examine the social factors affecting the current status of the wetlands utilization for agriculture in Nigeda, a simple random sampling technique was used to select 200 farmers cultivating wetlands and a structured questionnaire was applied to elicit the information on the social factors. Data collected were described using frequency and percentage and a multiple regression analysis was used to identify significant variables that are determinants of wetland utilization. The results of the analysis showed that significant variables included crop preferences, farming system, culture, taste, land tenure, knowledge of wetland cultivation, perceived suitability, farmers＇ tribe, location of wetland, and farmers＇ age. it was concluded with suggestions for the right combination of policies, public awareness, and appropriate farming methods in order to improve wetland utilization in Nigeria.

On Dynamic Social Factors for Development of China’s Human Rights Theory

China＇s mainstream human rights theory has undergone tremendous changes since the reform-and-opening scheme was kicked off in the early 1980s. ＂Human rights,＂ which used to be seen as a concept of capitalist ideology, is now an important part of the Chinese system of socialist values.

Surveillance Report of the Prevalence and Risk Factors of Chronic Non-Communicable Diseases in Tinghu District,Yancheng City,2021

Objective:To comprehensively understand the changes and prevalence of major chronic diseases among residents of Tinghu District,Yancheng City,in 2021,and to analyze the trends of the major risk factors for the onset of chronic diseases in the region.Methods:Chronic diseases and their risk factors in Tinghu District in 2021 were monitored among the resident population who had lived in the district for five years or more and were aged 18 years or older.The survey was conducted using random cluster sampling,with 7,130 questionnaires collected.After data processing,7,012 valid questionnaires were obtained,resulting in a qualification rate of 98.35%.Results:Among the chronic diseases reported in the survey population,hypertension had the highest prevalence at 37.61%,followed by dyslipidemia at 37.19%.Other chronic diseases were ranked in order of prevalence from highest to lowest.Regardless of gender,the top three chronic diseases were hypertension,diabetes,and hyperlipidemia.Multifactorial regression analysis identified both non-preventable risk factors(such as family history,gender,and age)and preventable risk factors(such as smoking,sedentary behavior,overweight,and obesity)as significant contributors to the major chronic diseases in Tinghu District.Conclusion:Analyzing the trends in the main risk factors for chronic disease incidence in Tinghu District,Yancheng City,provides a basis for developing a new comprehensive chronic disease prevention and control plan to address chronic disease prevention and management.

Impacts of Social and Demographic Factors on Residents' Subjective Well-being in Rural China

The objective of social development is to construct a harmonious society.In China,the key to a harmonious society is the happiness of more than 900 million farmers living in the rural areas.This study aimed to measure rural residents' subjective well-being(SWB) through the day reconstruction method,as well as to analyze SWB's influencing factors through a variety of statistical methods.The results showed that the average U index was 12.79%,indicating that respondents were unhappy 12.79% of the time.Twenty-seven percent of the population had a U index greater than 0,with the average value being 47%,indicating that these people were unhappy 47% of the time.The study also found that SWB varied according to the characteristics of the respondents.Logistic regression analysis showed that social and demographic factors,including age,education,county,household size,generation number,per capita income,migration status and social networking,which significantly affected rural residents' SWB.The size of the impact varied with the different factors.

Critical Success Factors for Executive Information Systems： A Case of Kenyan Organizations

In recent years, a number of organisations have implemented Executive Information Systems （EIS） including Computer-Based Information Systems （CBIS） in order to improve the performance of their executives＇ jobs though the majority of executives are unwilling to use EIS applications because of their design defects. Present researches on Executive Information Systems （EIS） are limited and less focused on the factors associated with EIS successful usage. This research adopts an extension of the Technology Acceptance Model （TAM） to derive useful variables to address the problem of the low usage of EIS by executives due to social factors, habits and facilitation conditions variables in Triandis＇ Framework. It reports on the adoption and usage of EIS by the executives in Organizations. The results show that experience in EIS usage was high with most respondents having used EIS for between 0 to 4 years （72.41%）, followed by the 5-9 years group with 25.86%. However, in terms of ability to use EIS, most executives were at the expert （knowledgeable）, casual user with 37.93%, followed by novice frequent user group with 31.03%. From this research, the authors propose a model that incorporates the habits, social factors and facilitating conditions in an Executive Information Systems.

Empirical Analysis on Factors Affecting Mobile Internet Users’ Purchase Intention for 3G Handsets

The research on consumers' purchase intention for 3G handsets has important theoretical and practical value. This research puts forward four key factors which influence consumers' purchase intention based on the cue utilization theory, situational theory and social impact theory, then it establishes the study model for consumers' purchase intention of 3G handsets. Based on the result of the questionnaire survey and empirical analysis, the study shows that social influence is the most prominent factor in purchase intention. Moreover, as different from results of previous studies, the situational influence factors have no significant impact on purchase intention in the 3G handsets market. The results of the model provides a forceful evidence for operators' and handset manufacturers' decision-making of 3G handsets design and marketing strategies, and it will improve their social impact.

Measuring Social Vulnerability to Natural Hazards in Beijing-Tianjin-Hebei Region,China

Social vulnerability in this study represents the differences between the capacity to cope with natural hazards and disaster losses suffered within and between places.The assessment of social vulnerability has been recognized as a critical step in understanding natural hazard risks and enhancing effective response capabilities.This article presents an initial study of the social vulnerability of the Beijing-Tianjin-Hebei(B-T-H) Region in China.The goal is to replicate and test the applicability of the United States Social Vulnerability Index(So VI) method in a Chinese cultural context.Thirty-nine variables adapted from the So VI were collected in relation to two aspects:socioeconomic vulnerability and built environment vulnerability.Using factor analysis,seven factors were extracted from the variable set:the structure of social development,the level of economic and government financial strength,social justice and poverty,family structure,the intensity of space development,the status of residential housing and transportation,and building structure.Factor scores were summed to get the final So VI scores and the most and least vulnerable units were identified and mapped.The highest social vulnerability is concentrated in the northwest of the study area.The least socially vulnerable areas are mainly distributed in the Beijing,Tianjin and Shijiazhuang core urban peripheral and central city areas of the prefecture-level cities.The results show that this method is a useful tool for revealing places that have a high level of vulnerability,in other words,areas which are more likely to face significant challenges in coping with a large-scale event.These findings could provide a scientific basis for policy making and the implementation of disaster prevention and mitigation in China.

Research on the Continuous Participation of Virtual Brand Community in Decision-Making Based on Social Influence Theory

Based on the social influence theory,the influence of virtual brand community members’perceived value on social influencing factors is discussed,and the influence of social influencing factors on virtual brand community members’continuous participation in decision-making is analyzed.Through an empirical analysis of the survey data of Xiaomi users in the Xiaomi Community,the results showed that the perceived value of virtual brand community members significantly and positively affects social influencing factors,which also significantly and positively affect the members’continuous participation in virtual brand communities.Therefore,only by sharing valuable information resources and improving the efficiency of information flow,thereby enhancing the perceived value of the community and increasing the stickiness of members to the virtual community,will we have an opportunity to enhance the interaction among members and effectively promote continuous participation in community activities through the strong bonds formed among members.

A Brief Analysis of Discrimination in Language Classroom——from the Perspective of Sociolinguistics

It is widely acknowledged that sociolinguistics is the study of language in certain context concerned with our society.Sociolinguistics and linguistics are intrinsically related to each other,but there has been difference as well.Linguistics research deals with language system itself,which belongs to the micro level on the one hand;many phenomena reflect discrimination in language classroom,these discrimination are caused by social factors to a certain degree.This paper makes a brief analysis of discrimination in language classroom from the perspective of sociolinguistics,which deals with many issues such as depiction of language discrimination、analysis of phenomenon and accordinglysolved measures.

Development of methods of male contraception: impact of the World Health Organization Task Force

Objective: To give an historical record of the research of the World Health Organization (WHO) Task Force to develop methods of male contraception; to examine the social, political, medical, pharmaceutical, funding, and other factors that influenced progress; and to suggest reasons why such methods are only now becoming available. Design: Review of basic and clinical research over 30 years. Setting: Task force of a multinational agency and collaborating agencies. Conclusion(s): Through the involvement of many international scientists, the WHO Task Force has uniquely contributed to the exploratory phases of the research in male contraception and by its multicenter contraceptive efficacy studies has accelerated progress towards the ideal hormonal method. Despite an adverse climate involving social and political attitudes, funding constraints, and pharmaceutical industry hesitations, WHO formed coalitions with governments and international agencies to sustain research with results that apply to men in culturally diverse populations and thereby to influence activities across the whole range of global reproductive health and family planning.

A PRELIMINARY STUDY ON THE VARIATION FEATURES OF GRAIN YIELD OF CHINA IN RECENT 40 YEARS

Based on grain yield data of China, the vanation features of grain yield in China in recent 40 years and their relationships with the associated factors were analyzed. Results show that the total grain yield increased gradually, and its interannual variation is influenced principally by unit area crop yield (about 70 percent in average). The influences of agricultural technology, social factors and weather conditions on thet area crop yield can be separated because of their unique variation trends and time scales. The influence of agricultural technology is in a smoothly and gradually incremental trend, and the influence of the social factors is oscillated with three waves in recent 40 years, and the influence of weather conditions is fiuctuated sharply from year to year. Their mean effects on the inter-annual variation of unit area crop yield are about 35 to 40 percent, 10 to 15 percent and 50 percent respectively. In the view point of predictions, the effects of weather conditions are much more important.

The Analysis of the Causes of Willy’s Death in Arthur Miller’s Death of a Salesman

Death of a Salesman is a classic tragic work in contemporary America.It discusses some social factors in Willy Loman’s death,such as the influence of the American Dream and the Great Depression.It also makes a detailed study on the flaws in the character of Willy Loman,some of which contribute to his own death,such as his misguided social values and his twisted relationship with his family.The paper aims at a further study on Willy Loman’s death and to put forward the author’s view on various causes of his death.Then it concludes that Willy’s death is the result of American society and his own character defect.

Consumption and Leisure Patterns of Youth in Turke

Consumption-oriented daily life resulted in new forms of consumption spaces in many cities. Among these spaces, shopping malls are significant with their improved physical and social environments for consumption and leisure for all the family. One of the important marginalized groups, to whom the mall appeals, are young people. Within this framework, the main purpose of this study is to investigate the consumption and leisure practices and experiences of young people in Turkey from their point of view. Migros, a shopping mall in Ankara, was chosen as the site for this research, where both consumption and leisure practices are overlapping within the same space. The research was carried out through observation and in-depth interviews with 104 teenagers. The results indicated that shopping malls were the main leisure and consumption site for teenagers. Teenagers＇ choice of malls as their favorite leisure and consumption space were found to be the result of some factors such as restrictions which were provoked by their parents, security concerns, location of the mall, and accessibility and limited financial resources. These factors seemed to lead to restrictions in the choice of places to spend their leisure time and limit the use of leisure spaces other than malls. As a consumer group in the mall space, teenagers had some complaints about the prices of facilities which seemed to be influential on their choices of consumption and leisure practices in the mall environment.

中国典型城市群碳排放的影响机制研究——以长三角城市群为例

Urban agglomeration plays a vital role in fostering high-quality and sustainable development in China,where urbanization rates signifi-cantly influence both urban and rural environments,generating different economic and socio-spatial impacts that,in turn,influence carbon emissions in cities.To delve into the influencing mechanisms of carbon emissions,this paper examines the spatio-temporal pattern of carbon emissions across 41 cities in the Yangtze River Delta urban agglomeration in China.It utilizes data on economic,social,and spatial factors from 2012 to 2019 and employs a spatial econometric regression model for analysis.The results indicate that carbon emissions of cities in the urban agglomeration exhibited strong spatial correlation from 2012 to 2019,characterized by relatively stable cold and hot spots,along with continuous outward spread of high-value zones.Economic and social factors demonstrate a significant positive spatial correlation with carbon emissions of a city,with weak spatial spillover effects.Spatial factors exhibit correlations with carbon emissions in both the city and neighboring cities,with strong spatial spillover effects.Moreover,the spatial layout and functional division of cities in the urban agglomeration also significantly impact the spatio-temporal pattern of carbon emissions.

A mini-review on how the COVID-19 pandemic affected intertemporal choice

The coronavirus disease(COVID-19)has extremely harmful effects on individual lifestyles,and at present,people must make financial or survival decisions under the profound changes frequently.Although it has been reported that COVID-19 changed decision-making patterns,the underlying mechanisms remained unclear.This mini-review focuses on the impact of the COVID-19 pandemic on in-tertemporal choice,and potential psychological,biological,and social factors that mediate this relationship.A search of the Web of Science electronic database yielded 23 studies.The results showed that under the COVID-19 pandemic,people tended to choose immediate and smaller rewards,and became less patient.In particular,people with negative emotions,in a worse condition of physical health,or who did not comply with their government restriction rules tended to become more"short-sighted"in behavioral terms.Future studies should examine more longitudinal and cross-cultural research to give a broad view about the decision-making change under the COVID-19 pandemic.

Suspected Close Contacts as the Pilot Indicator of the Growth Trend of Confirmed Population During the COVID-19 Pandemic: A Simulation Approach

Regarding to the actual situation of the new coronavirus disease 2019 epidemic,social factors should be taken into account and the increasing growth trend of confirmed populations needs to be explained.A proper model needs to be established,not only to simulate the epidemic,but also to evaluate the future epidemic situation and find a pilot indicator for the outbreak.The original susceptible-infectious-recover model is modified into the susceptible-infectious-quarantine-confirm-recover combined with social factors(SIDCRL)model,which combines the natural transmission with social factors such as external interventions and isolation.The numerical simulation method is used to imitate the change curve of the cumulative number of the confirmed cases and the number of cured patients.Furthermore,we investigate the relationship between the suspected close contacts(SCC)and the final outcome of the growth trend of confirmed cases with a simulation approach.This article selects four representative countries,that is,China,South Korea,Italy,and the United States,and gives separate numerical simulations.The simulation results of the model fit the actual situation of the epidemic development and reasonable predictions are made.In addition,it is analyzed that the increasing number of SCC contributes to the epidemic outbreak and the prediction of the United States based on the population of the SCC highlights the importance of external intervention and active prevention measures.The simulation of the model verifies its reliability and stresses that observable variable SCC can be taken as a pilot indicator of the coronavirus disease 2019 pandemic.

Latent Co-interests' Relationship Prediction

With the development of the social media and Internet, discovering latent information from massive information is becoming particularly relevant to improving user experience. Research efforts based on preferences and relationships between users have attracted more and more attention. Predictive problems, such as inferring friend relationship and co-author relationship between users have been explored. However, many such methods are based on analyzing either node features or the network structures separately, few have tried to tackle both of them at the same time. In this paper, in order to discover latent co-interests＇ relationship, we not only consider users＇ attributes but network information as well. In addition, we propose an Interest-based Factor Graph Model （I-FGM） to incorporate these factors. Experiments on two data sets （bookmarking and music network） demonstrate that this predictive method can achieve better results than the other three methods （ANN, NB, and SVM）.