Influence Of Social Factors Research Articles

Research on coordination mechanism between agricultural green and land ecosystem in Yellow River Basin

The Yellow River Basin is China’s grain production base and ecological barrier, with an important strategic position. Therefore, it is of great significance to analyze spatiotemporal pattern of ecosystem services and agricultural green, and further exploring the driving mechanism of coordination using the GTWR model to examine how the Yellow River Basin’s agriculture evolve sustainably. The results indicate that: (1) In 2011–2021, the Yellow River Basin’s ecosystem service value showed a state of growth first and then decline, indicating that the decrease trend cannot be ignored; the Yellow River Basin has seen a steady rise in agricultural green level, with regional disparities progressively disappearing. (2) Although the Yellow River Basin’s agriculture and ecosystem has tended towards coordinated development, it was still in the primary stage of coordination; the tendency of downstream > midstream > upstream was seen in the notable geographical disparities, and the gap was continuously closing. (3) The harmonization of ecosystem service value and agricultural green development is driven by multiple factors. The influence of social factors has undergone a transition from negative influence to positive influence; economic factors generally had a positive impact, but there existed a certain amount of instability; the overall state of natural factors was relatively stable, with little change in areas with positive coefficients. In areas with negative coefficients, their negative effects gradually decreased and showed a trend towards positive development. In light of the finding above, some recommendations are put forth to promote sustainable agricultural production.

Factors influencing students' attitude toward to use mobile learning applications using SEM-ANN hybrid approach

Mobile learning application now is considered a powerful application for learning and was adopted in universities in the period of Covid-19. After Covid-19 pandemic, university students have been allowed to use mobile learning systems, it is needed to ensure students’ intention to continuously use mobile learning for their learning activities or not. Thus, the purpose of this paper is to understand the main determinants that encourage the continuous use of mobile learning. To achieve that, we used the UTAUT-2 model to predict the main determinants of mobile learning acceptance. In our study, a quantitative technique was employed to collect the data. A hybrid approach SEM-ANN was applied to validate the research model. The findings indicated that performance expectancy and effort expectancy had a strong effect on students' attitudes towards mobile learning platforms. In addition, the results showed that performance expectancy and effort expectancy have a significant impact on students' continuous intention to use mobile learning platforms after Covid-19. In addition, hedonic motivation and habit had a positive effect on both students' attitudes and continuous intention to use mobile learning platforms. Moreover, Social influence factor and facilitating conditions had a significant effect on students' continuous intention to use mobile learning platforms after Covid-19.

The Impact of Being Present During Resuscitation on Family Members: A Scoping Review Protocol.

Family members of patients who are undergoing resuscitation may experience complex psychological challenges, including anxiety, depression, or posttraumatic stress symptoms. Although several studies have identified positive experiences of family members who were given the option to be present during their loved one's resuscitation, the actual impact of family presence during resuscitation on family members remains elusive and needs to be explored comprehensively. This review aims to identify the impact of being present during the resuscitation event of adult patients in in-hospital settings on family members. The proposed review will utilize the JBI methodology for scoping reviews. This review will include literature from all study designs that are published in English with no date restrictions. The inclusion criteria include studies evaluating the impact on family members after witnessing the resuscitation of a loved one or being present at the hospital during the event. This review will include studies conducted in intrahospital settings, including emergency departments, critical care units, and in-hospital wards. This study will also emphasize the influences of social, cultural, and spiritual factors on FPDR practices. A systematic search will be conducted across five databases and gray literature. These include PubMed, CINAHL (EBSCO), Embase, Emcare, and PsycINFO, ProQuest Database, Open Access Theses and Dissertations, and Google Scholar. Two independent reviewers will screen titles and abstracts and assess the full text of selected articles against inclusion criteria. Discussion with all reviewer team members will be held when disagreements arise between the reviewers at each review stage. Data will be analysed and presented according to The Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Review. This scoping review protocol was registered with Open Science Framework (https://doi.org/10.17605/OSF.IO/U6AW8).

Спрос, закон спроса, эффекты Гиффена и Веблена. Часть 2. Нефункциональный спрос и загадки спроса

The present work is a brief review of domestic educational and scientific literature upon the issues of non-functional (according to Leibenstein’s classification) demand. To take into account the influence of social factors, the concept of conspicuous consumption by T. Veblen is used. Attention is paid to inaccurate and controversial statements found in literature, as well as to cases of incorrect interpretation of some types of non-functional demand formed under the influence of social determinants. First of all, this refers to the practice of incorrectly interpreting the Veblen effect as an exception to the law of demand and conspicuous consumption as irrational behavior. A number of recent studies convincingly indicate that conspicuous consumption is capable of exerting a favorable psychological effect on the individual who exhibits it, thereby contributing to an increase in their level of well-being. Using the example of the dissertation services market, it is shown that buyers of custom dissertations who often experience amazing “psychological metamorphoses” subsequently receive the opportunity to successfully convert the acquired symbolic capital into certain privileges. The mathematical model of the Veblen effect proposed in the article allows asserting that the Veblen effect may as well manifest itself as a result of the rational choice of the consumer who may be an individual with any level of income, except for the lowest, completely excluding the possibility of any choice of consumed goods. It is shown that in some cases, to explain the dynamics of demand for a particular good, it is sufficient to take into account the “competition” of the Veblen, price, bandwagon, and snob effects without any reference to paradoxes or exceptions to the law of demand. Along with this, examples of consumer behavior and demand are given, for the interpretation of which Leibenstein’s classification is insufficient.

Help-Seeking and Disclosure in University Students with Suicidal Thoughts and Self-Harm: A Systematic Review

AbstractSuicide is a serious problem among university students. As suicidal thoughts and self-harm are predictive of completed suicide, students experiencing these problems would benefit from seeking support. This systematic review synthesised research on help-seeking in university students with suicidal thoughts and self-harm, including rates, sources, and associated factors. Searches were conducted in Medline, PsychINFO, and ERIC (inception to 10/11/2023) and grey literature databases PsycEXTRA and BASE (inception to 23/12/2023) for population-based epidemiological or qualitative studies. Findings were narratively synthesised. Twenty-two studies using 16 unique datasets were included. Most studies were US-based. Over half of the students with suicidal thoughts and self-harm did not seek or receive help for their mental health while at university, with lower rates in men and ethnic minority groups. Demographic, social and service-use influencing factors were identified. The low rates of help-seeking identified in this at-risk group highlight the need for research into interventions to improve help-seeking as part of suicide prevention efforts.

Trends in gender role attitudes and gender awareness among Generation Z college students in China

In the current context of multicultural collision, online information is impacting traditional gender values. To analyze the changes in gender role attitudes and gender awareness among Chinese Generation Z college students under the influence of various social factors, the study focuses on Generation Z college students and explores the impact of cultural, media, educational, and family factors on gender role attitudes and gender awareness among Chinese Generation Z college students through questionnaire surveys and quantitative analysis methods. The research results show that Generation Z college students exhibit extremely favorable gender perspectives, with the proportion of bisexual gender roles approaching 38%, surpassing the number of students with traditional understanding of single sex gender roles. At the same time, in school gender awareness education, research has found that the proportion of bisexual gender roles is the highest among students who accept open mindedness, at 46.6%. In family gender awareness education, students who receive parental gender awareness sharing education have the highest proportion of bisexual gender roles, accounting for 48.5%. Therefore, the current gender education for the new Generation of students in China needs to abandon traditional avoidance-based teaching methods and adopt an open and supportive attitude to guide students’ gender values.

Influence of ecological and social factors on huddling behaviour and cluster organisation in Japanese macaques (Macaca fuscata).

Huddling behaviour is present in many animal species. This behaviour involves maintaining close physical contact with conspecifics to minimise heat loss and, in general, reduce energy expenditure. Additionally, this behaviour also facilitates complex social interactions within a population. In Japanese macaques, this behaviour is observed in many populations across Japan, including Shodoshima, where huddling clusters can reach up to 100 individuals in winter. Based on several studies on this species, it appears that huddling, or sarudango in Japanese, is influenced by both meteorological factors and social relationships between individuals. The objective of this study is to understand the determinants that drive the expression (presence or absence) and the organisation (number of individuals and identities) of huddling clusters. Two hypotheses were formulated. The first hypothesis posits that the formation and variations in the size and number of clusters are influenced by meteorological factors, while the second hypothesis suggests that the number and position of individuals within a cluster are related to existing relationships between individuals. To test these, data on the number, size, and individuals composing a cluster were collected, allowing building huddling social networks. Simultaneously, meteorological measurements were taken, along with observations on dominance and grooming interactions between individuals. This allowed us to create several statistical models and social networks for comparison. Our results suggest that the probability for observing huddling is mainly related to solar radiation energy, while variations in number and size could be explained by temperature. Moreover, the organisation within a cluster is not random but reflects relationships between individuals. The ones sharing more grooming and having similar dominance ranks have more probabilities to be in the same huddling cluster.

Review and Analysis of XAI Methods for Addressing Geoecological Zoning and Public Health Prevention Challenges

This study focuses on the application of Explainable Artificial Intelligence (XAI) in geoecological zoning tasks to support sustainable development and public health prevention. Amid increasing anthropogenic pressures on ecosystems and rising disease rates due to environmental degradation, emphasis is placed on early risk detection methods. The study highlights the importance of XAI in analyzing ecological data to mitigate the impacts of adverse factors on population health. Integrating XAI with Geographic Information Systems (GIS) not only provides high accuracy in geoecological forecasting but also enhances the transparency of these forecasts for experts, aiding informed decision-making in the fields of geoecology and healthcare. Special attention is given to early diagnosis of health risks, such as respiratory and oncological diseases, through the use of XAI in analyzing environmental data and medical images. Explainable AI enhances the transparency and understandability of diagnostic processes for medical professionals, fostering trust in analytical outcomes. Implementing XAI in healthcare can not only improve diagnostic accuracy but also optimize healthcare resources by reallocating them toward disease prevention. A review of existing decision support systems (DSS) demonstrates the efficacy of hybrid models combining neural networks and fuzzy logic to enhance the precision and interpretability of medical forecasts. These models open new prospects for personalized medicine, improving preventive strategies and providing individual recommendations based on comprehensive analyses of environmental and medical data. A critical aspect of the study is territorial zoning aimed at managing environmental risks and disease prevention. This approach not only reduces the burden on healthcare systems but also promotes sustainable territorial development, taking into account the influence of environmental and social factors on population health.

An Analysis of the Influence of Environmental, Social, and Governance (ESG) Factors on Multinational Investment Decision-Making

An Analysis of the Influence of Environmental, Social, and Governance (ESG) Factors on Multinational Investment Decision-Making

The Impact of Socio-Demographic Factors on the Use of Digital Learning Platforms and Forms of Learning by Generation Z Engineering Students

The demands on higher education are increasing with the rise of generation Z. The emphasis is put on dynamism, a fast pace of teaching, dividing teaching into smaller blocks, alternating methods, digital tools, and using the possibilities of modern technologies. Educators must continually innovate and build improved pedagogical strategies in engineering to support student learning. Therefore, it is necessary to constantly innovate and build more sophisticated educational strategies with an impact on direct teaching and to support student learning. The aim of this study is to investigate the influence of socio-demographic factors (gender, field of study, and form of study) on the use of digital platforms and preferred forms of learning among Czech generation Z university students. The study emphasizes the preferences of generation Z students in engineering degree programs compared to students in economics and humanities degree programs. This comparison results from differences in teaching delivery and learning styles or methods. Hypotheses are tested using the Chi-square test and Cramer’s V. Engineering students prefer videos with a deeper explanation of the problem, and they mainly use the MS Teams platform and platforms allowing formative assessment and expression of their attitude. The practical implication of the study for education is mainly the identification of the basic characteristics of an appropriate educational strategy reflecting the needs of generation Z representatives. The article discusses the use of experimental and laboratory teaching. Similarly, as in the Czech Republic, also in the international environment, the project method, e-learning, gamification, Massive Open Online Courses (MOOCs), or videos in microlearning format are used in working with generation Z in engineering education. The study highlights the need to explore the influence of social factors and gamification elements in learning.

Detection of Factors Affecting the Spatial Distribution of Ozone in Summer over China Based on Geodetector

To study the factors affecting the spatial distribution of ozone concentration in different regions of China, based on the summer ozone monitoring data of 2019 and three influencing factors, namely, main meteorological, direct emission, and socio-economic factors, the influence degree of various factors on the spatial differentiation of ozone was quantified by using the Geodetector method and the comparison between regions was conducted. The results showed that the spatial differentiation of ozone concentration in summer 2019 was most affected by the main meteorological factors and the average degree of influence reached 0.277. Relative humidity was the dominant meteorological factor and the influence degree reached 0.415. The degree of influence of meteorological factors increased from northeast and western regions to central regions. The influence of social and economic factors increased from north to south, except for the low plateau climate area. The analysis on the interaction of two factors revealed that the average wind speed of meteorological factors had the greatest impact on other factors and large regional differences were present. Among socio-economic factors, population density had the greatest impact on other factors and was the key factor driving the regional differentiation of other factors. These results are helpful to understand the dominant factors of spatial distribution of ozone concentration in different regions of China and have guiding importance for the prevention and control of ozone pollution.

Post-Positivism and Its Application in Health Research

Post-positivism marks a significant shift in health research by recognizing the limitations of positivist approaches and embracing a more flexible, reflective and context-sensitive methodology. This approach acknowledges the interconnectedness of human health, influenced by various biological, psychological, social and environmental variables, which are beyond the scope of quantitative approaches alone. Post-positivism combines qualitative and quantitative methods, allowing scholars to probe the effects of health interventions, their occurrences and social contexts. The objective of this research is to explore the philosophical foundations of Post-positivism and its paradigms within health education research. This research methodology involves an extensive literature review of peer-reviewed academic articles and books to analyze the post-positivism paradigm within health education research, exploring its principles, applications and implications. The shift to post-positivism in health research has allowed for a more accurate and nuanced understanding of health issues by incorporating critical realism and reflexivity, helping minimize researcher bias. The integration of mixed-methods research and triangulation have strengthened the validity of studies, especially when the researcher examine the people experiences and the influence of social factors. Post positivism has reshaped health research by blending qualitative and quantitative methods and promoting reflexivity and ethical practices. This approach provides richer insights and more comprehensive and effective solutions that cater to both individuals and broader community needs.

Opportunities and challenges of drones and internet of drones in healthcare supply chains under disruption

This study investigates the use of drones and the Internet of Drones (IoDs) in healthcare supply chains (HSCs), highlighting the opportunities and challenges of integrating them to respond to HSCs disruptions, an area that is currently under-examined in supply chain literature. A mixed methods approach is employed in this research. The article establishes important contributions. Firstly, it evaluates and integrates current research to provide new insights for dealing with pandemics and other similar emergencies. Secondly, the article framework reveals relevant political, economic, social, technological, environmental, and legal influencing factors to respond to disruptions. Thirdly, the analysis through the SCOR provided a hierarchical process model for HSCs enabled by drones and IoDs. Fourthly, the paper provides a framework for a shift from people-dependent HSCs to technology-dependent HSCs. Promising future research directions are indicated to advance the supply chain research on this topic.

PARTISAN VOLUNTEER MOVEMENTS DURING WORLD WAR II IN THE ROSTOV OBLAST OF THE SOVIET UNION AND IN WESTERN SERBIA: A COMPARATIVE ANALYSIS

Based on an analysis of both published and newly identified sources, this paper will attempt to carry out a comparative analysis of the essential content, nature, scale, social and national composition, political and ideological views and positions, and the ideological foundations and practical results of the struggle by partisan, anti-Nazi resistance movements in the Rostov oblast and in western Serbia during the Second World War. These regions were unique in terms of natural and geographic conditions, the ethnic and social composition of their populations, and their ideological views and political positions. Therefore, special attention will be given to identifying, thoroughly describing, and conducting a comparative analysis of the common and unique features of the partisan movement in these two regions. The paper will also demonstrate the influence of political, socioeconomic, ethnic, and social factors on the scale of this movement, the degree to which it was supported by the local population, the results of its activities in each of these areas both generally and in relation to their correlation and comparative analysis. The final generalizations and conclusions about the role and significance of the partisan movements in the Rostov oblast and in western Serbia during the Second World War, and their general and more specific features will also be substantiated.

Формирование новых художественных приемов в оформлении спектаклей русской антрепризы на рубеже XIX-XX веков на примере театральных эскизов А. Бенуа, Л. Бакста, Н. Рериха и К. Коровина из фондов Государственного Русского музея

The purpose of the study is to identify the author’s artistic features and the processes of formation of new visual concepts in the design of performances of the Russian theatrical concern at the turn of the 19th-20th centuries in the set design works of A. Benois, L. Bakst, N. Roerich and K. Korovin, based on the analysis of rare sketches from the State Russian Museum. The article examines the key aesthetic and artistic trends that became decisive in the design of theatrical scenery during this period, as well as analyzes the influence of social, cultural and historical factors on the development of stage design. The issues such as the interaction of various art schools, the influence of European trends on Russian theatrical scenography and the development of stylistic trends in the design of performances are also considered. The research is based on the study of sketches that had not previously been shown to the general public and were not included in scientific publications, which characterizes them as a unique artistic material. The scientific novelty of the research lies in the systematization and analysis of sketches in a closed collection to identify innovative visual solutions in the context of socio-cultural changes and public attitudes of the specified period. The result of the study suggests the identification of individual artistic features in the theatrical work of each of the declared masters, which will allow us to talk about the Russian theater as a complex multifaceted system in which visual concepts are an integral part of an individual artistic solution.

FACTORS INFLUENCING THE ADOPTION OF DIGITAL FINANCE AMONG MICROENTREPRENEURS

Digital finance has significantly transformed the microentrepreneurs landscape, particularly in developing countries. By leveraging digital platforms, these entrepreneurs can manage their finances more effectively, access new markets, and integrate into the formal economy. Digital finance can empower microentrepreneurs by providing them greater financial autonomy, reducing their dependence on informal and often exploitative financial arrangements, and offering them tools to better manage their business risks. This paper aims to explore the factors that influence the adoption of digital finance among microentrepreneurs by using a qualitative approach through content analysis. The findings show that digital literacy and skills, trust, accessibility, perceived ease of use, financial literacy, social influence, regulatory and cultural factors are the factors that influence the adoption of digital finance among microentrepreneurs. Therefore, it is suggested that policymakers, financial institutions, technology providers, and related organizations work together to create an enabling environment that supports the adoption of digital finance, particularly for underserved and vulnerable populations.

FSMM: Food System Monitoring Model for Re-optimization

The unstability of global food system have aroused growing attention worldwide. Althrough there is sufficient food produced to feed every person, many people in the world are suffering from hunger. Moreover, the current food system is harmful to the environment. As our global population continues to rise, the ability to produce more food while sustaining, and even improving, the health of our environment counts. The FSMM(Food System Monitoring Model) provides score rank using entropy weight and subjective weight to evaluate the current state of the food system for most countries in the world. It contains 9 individual features to measure multiple aspects, including efficiency, profitability, sustainability and equity. Considering the future trend of the food system, we apply Gray Forecast Model to forecast the next 5 years of the development of the food system to figure out the time for each country to change into equity and sustainability. To find out the relation between external factors and food system, The FSMM uses Boosting Regression Model to find the correlation between the scores and 10 indicators which represent the influences of energy use, government, agriculture, social factors and population ratio. The FSMM fits the data from 178 countries from 2000 to 2019. After simulating and adjusting the parameters to decrease the loss of the model, we gets the importance rate of each indicator. We find the indicators whose importance rate change significantly when the food system is optimized for equity and sustainability. And we use these indicatos as dependent variable and apply Linear Regression to fit by using the yields of the wheat, meat and vegetables as independent variable. By doing this, We find out the direct impact of re-optimization on the food system. We finally get the importance rate and the coefficient of two regression model and analyze the specific influence of various factors on the food system and compare the differences between the influence on developing and developed countries. After the overall analysis of the influence on developed and developing countries, we pick some specific developing and developed countries to analyze and discuss the scalability and adaptability of the model.

Pengaruh Faktor Budaya dan faktor Sosial terhadap Keputusan Pembelian Hand and Body Lotion Scarlett pada Aplikasi Shopee

This research aims to determine the influence of cultural factors and social factors on purchasing decisions for Scarlett hand and body lotion on the Shopee application. The sample determination technique uses the rule of thumb with a sample size of 100 respondents from West Java. The method used in this research is a quantitative method with SEM-PLS analysis and assisted by the SMART-PLS analysis tool. The results of this research prove that cultural factors have a significant influence on purchasing decisions. However, social factors do not significantly influence purchasing decisions.

Spatial capability and A qualitative study of happiness in Mexico City and San José

Abstract This qualitative study focuses on how individuals living in two that rank highest in the happiness index develop and sustain their happiness research employs quantitative methods to compare national recent studies advocate for a contextual and process-focused This research emphasises the spatial aspects of happiness and hance it, contributing to a deeper understanding of happiness in The cases are Mexico City, Mexico and San José, Costa Rica, which high in happiness despite their low GDP. A total of 16 in-depth out online with participants living in each of the case study sites. that interviewees’ happiness is shaped by context-specific factors curity, and housing. The COVID-19 pandemic, which restricted housing quality, highlighted barriers to spatial capability. The viduals developed happiness strategies and community participation satisfaction and happiness capability. Conformity-driven happiness phenomenon, essential to life satisfaction. The paper contributes standing of happiness in different environments and people’s happiness. Highlights for public administration, management and planning: Influence of Environmental and Social Factors on Happiness: For tration and urban planning, this study highlights how basic life as creating and maintaining environments, enhance residents’ piness. Role of Spatial Capability in Happiness: For public policy and concept of spatial capability emphasises the need to improve design and transportation to support citizens’ overall happiness Impact of Social Support and Conformity on Well-being: For public and community planning, fostering strong social networks and health initiatives can be vital in promoting residents’ happiness being. Implications for Public Policy and Urban Planning: The findings policies should aim to enhance people’s capabilities by providing efficient mobility, and support for social groups. This approach happier, more sustainable communities.

Predicting medication adherence among children with epilepsy: Application of the protection motivation theory

PurposeBased on the protection motivation theory (PMT), which is an extension of the health belief model that takes the “reward” brought by behavior in the long-term process as a consideration factor and considering the influence of environmental and social factors on behavior patterns, this cross-sectional study evaluated medication adherence among children with epilepsy using structural equation modeling. MethodsChildren with epilepsy from pediatric neurology clinics were consecutively sampled at West China Second Hospital of Sichuan University from July 2021 to January 2024. According to PMT, we designed the 23-item questionnaire, which included seven factors, namely severity, susceptibility, external return, internal returns, self-efficacy, reaction efficiency, and reaction cost. Medication adherence was assessed using the Morisky Medication Adherence Scale. The reliability and validity of the scale were tested by confirmatory factor analysis, and path analysis was used to conduct hypothesis testing and calculate standardized path coefficients. ResultsWe enrolled 1357 children with epilepsy (mean age, 8.36 ± 4.04 years). Younger age, being an only child, caregivers’ unemployment, and comorbidities were associated with high medication adherence scores. The designed scale of PMT displayed good reliability and validity. Through path analysis of the structural equation model, self-efficacy, susceptibility, and severity exerted significant positive effects on adherence, and external return, internal returns, and reaction cost had significant negative effects on adherence. ConclusionsMedication adherence in children with epilepsy is relatively poor. PMT can explain and predict the medication adherence behavior and behavior intention of patients with epilepsy. It is recommended to increase the health education, personalize medication guidance, and provide telephone interventions to caregivers of children with epilepsy to enhance medication adherence and further improve therapeutic efficacy.