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 utiliz...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.展开更多
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 ideolo...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.展开更多
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 commun...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.展开更多
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 differ...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.展开更多
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, a...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.展开更多
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...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.展开更多
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 detail...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.展开更多
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 t...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.展开更多
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 a...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.展开更多
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 report...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.展开更多
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 ...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.展开更多
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 ...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).展开更多
文摘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.
文摘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.
文摘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.
文摘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.
文摘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.
文摘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.
文摘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.
基金supported by China Fundamental Research Funds for the Central Universities under Grant No.2011RC1006Humanities and Social Sciences Planning Fund Project, Ministry of Education of the PRC under Grant No.11YJA630081
文摘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.
文摘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.
基金supported by research grants from the National Natural Science Foundation of China (31972906)Fundamental Research Funds for the Central Universities (SWU2209235)+1 种基金the Innov ation Researc h 2035 Pilot Plan of Southwest University (SWUPilotPlan006)the Open Research Fund of the State Key Laboratory of Cognitive Neur oscience and Learning (CNLZD2102).
文摘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.
文摘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.
基金the National Natural Science Foundation of China (No. 61170192)the Natural Science Foundations of Municipality of Chongqing(No. CSTC2012JJB40012)
文摘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).