Development Of Society Research Articles

The interplay of technology anxiety and digital health literacy in determining e-health readiness

Abstract Background The assessment of e-health readiness (eHR) is used to assess the ability of selected groups of citizens and patients, as well as society as a whole, to adopt e-health support. This study aimed to understand the main determinants of eHR in adult Internet users in Poland. Methods The analysis was conducted using data from a computer-based web-based interviewing (CAWI) survey carried out in June 2023 in a representative sample of 1661 Polish Internet users. The eHR score was established based on the e-Health Readiness Scale. Uni- (ULRM) and multivariable (MLRM) models were developed for eHR. Independent variables included technology anxiety (TA), digital health literacy (DHL), Internet (IU) and social media use (SMU), self-assessed health status, and sociodemographic variables. Results ULRMs revealed that TA, DHL, IU, SMU, an array of sociodemographic variables, and self-assessed health status (SAHS) were significant predictors of eHL. ULRMs with TA and DHL explained, respectively, 30.1% and 23.9% of the eHR variability. In MLRM developed with all predictors confirmed in ULRMs, only TA, DHL SMU, age, and income level maintained their significant effect on eHR. MLRM explained 42.8% of TA variability. Higher TA was associated with lower eHR (B, 95% confidentiality interval (95%CI): -0.30, -0.33 - -0.27). Respondents with higher DHL demonstrated higher eHR (B, 95%CI: 0.42, 0.37 - 0.48). Older persons were more likely to accept e-health solutions (B, 95%CI: 0.03, 0.003 - 0.05). More frequent SMU was associated with higher eHR (B, 95%CI: 1.87, 0.94 - 2.80). Finally, those who refused to reveal their level of income showed significantly lower eHR than those who revealed it (B, 95%CI: -0.84, -1.58 - -0.10). Conclusions TA and DHL are the main predictors of eHR. SMU also accounts for eHR. Unexpectedly, older age is a positive predictor of eHR. Finally, variables reflecting health status do not exert a significant effect on eHR. Key messages • Technology anxiety should be treated as an important determinant of the successful implementation of e health solutions. • The development of society’s digital health literacy may be a countermeasure to the unfavorable effect of technology anxiety on e-health readiness.

Quantitative evidence of the community of shared future for mankind as a driver of sustainable development in human society

In an era marked by global economic challenges, an increasing array of non-traditional security threats, and a proliferation of conflicts and issues, China has put forth the building of a community of shared future for mankind as a way to address this question of the times. The theory of the community of shared future for mankind offers a framework to address contemporary issues by promoting equality, mutual benefit, security, justice, openness, innovation, multicultural exchange, and green development. This paper innovatively quantifies the five core principles of the theory of the community of shared future for mankind using the entropy method. It calculates the proxy variable for sustainable development, green total factor productivity, using the super-efficiency Slack-Based Measure model in Data Envelopment Analysis. Baseline regression is conducted on this basis. The Principal Component Analysis method and another Data Envelopment Analysis method, the Malmquist index, are utilized to recalculate the indicators, followed by another round of regression analysis. The results are consistent with the baseline regression. Additionally, Ordinary Least Squares, Partial Least Squares, Maximum Likelihood Estimation, Ridge regression, and Lasso regression are employed to ensure the robustness of the results. The findings indicate a significant positive relationship between the community of a shared future for mankind and the sustainable development of human society, with consistent conclusions drawn from different calculation methods and regression techniques. Through value recognition, international cooperation based on benefit-sharing and mutual reciprocity can guide humanity towards a harmonious coexistence with nature, irrespective of regional and economic disparities. This study provides quantitative evidence of the impact of the community of a shared future for mankind on the sustainable development of human society, filling a gap in existing research. Based on these findings, feasible policy recommendations are proposed to promote sustainable development in human society.

Models of the Impact of Socio-Economic Shocks on Higher Education Development

This article is devoted to the analysis of the impact of socio-economic shocks on the dynamics of higher education development. It is substantiated that, on the one hand, higher education influences the development of society and the economy, on the other hand, the development trends of a country provide both opportunities and limitations for its development. An algorithmic model for studying the impact of social and economic shocks on the development of the higher education system (HES) has been developed. To diagnose the relationship between higher education and the socio-economic development of Ukraine and Slovakia, the following indicators were used: GDP per capita, the Human Development Index, school enrollment, tertiary, and net migration. The presence of nonlinear trends in the change in indicators has been shown and portraits of the socio-economic development of the countries have been constructed. To assess the impact of socio-economic shocks on the HES, the time-series decomposition method and cross-spectral analysis were used. The time-series decomposition allowed us to identify cyclical components of indicators, based on applying cross-spectral analysis, and the most significant local harmonics and the lag of their influence on the occurrence of shocks in the HES were determined. The use of the developed models allows us to predict periods of shock points in the HES depending on shocks in the tendencies of GDP per capita and net migration.

Exploring the Interaction and Impact of Green Building Design on People and Space

Abstract: With the progress and development of society, people's living standards improve at the same time, environmental pollution and resource shortages environmental problems also come. Construction engineering is one of the largest energy-consuming industries in China, and the implementation of a sustainable development strategy has become a top priority. Therefore, the state put forward the concept of greening and sustainable development, and green building has become a mainstream design concept. The purpose of this paper is to elaborate on the principles and design points of green building design and to study and discuss the application cases of green building design. Analyze the interaction and impact of green building design on people and space by analyzing the effects and impacts of the implementation of different designs in green building design cases, including focusing on siting design, ventilation design, energy efficiency design, recyclable design, plant design, and lighting design. Summarise the importance of applying green building design concepts and effective designs that have a positive impact on people. The results of the study can provide practical suggestions on improving the sustainability and eco-friendliness of green buildings for green building design stakeholders, such as architects, policymakers, and related stakeholders, and this study has certain reference values and significance.

Impact of the Extent of Population Aging on Economic Development and Countermeasure

With the comprehensive prosperity and development of human society, human life expectancy shows a rising trend, fertility rate shows a declining trend, the world is facing a severe problem of population aging, the ensuing economic impact is the focus we need to pay attention to. Taking various countries and regions in the world from 1960 to 2019 as samples, this paper conducted an empirical test on transnational panel data and found that old age dependency would significantly hinder economic growth. The conclusion remained valid after the robustness test of replacing explanatory variables, instrumental variable method and changing sample interval. Further study found that old-age dependency ratio will also significantly reduce consumption expenditure. Based on this, this paper gets inspiration and puts forward corresponding policy suggestions to mitigate the adverse impact of population aging on China's social and economic development.

Exploration and Practice of Classification Talent Training Model in Local Agricultural Institutes

With the rapid development of modern society, the demand for professional talents in the veterinary industry is increasing and showing a trend of diversification. In order to better adapt to this change and meet the industry's demand for high-quality and versatile veterinary talents, the reform of traditional veterinary professional education is particularly urgent. Taking Shanxi Agricultural University as an example, the veterinary specialty of a local agricultural university actively explored and implemented the "2-2-4" classified talent training model of "three stages, three modules and seven links". This innovative model divides veterinary education into three learning stages, each with targeted teaching modules, and ensures the systematic transmission of knowledge and comprehensive cultivation of skills through seven specific teaching links. In this way, the model effectively solves many problems in traditional teaching, such as weak professional awareness among students, insufficient teacher-student interaction, single ability cultivation among students, and disconnection between teaching and research. It emphasizes the close integration of theory and practice, emphasizes students' active participation and innovation ability cultivation, thereby significantly improving the quality of talent cultivation. In addition, this reform practice of Shanxi Agricultural University not only provides a broader development space and employment opportunities for veterinary students in our university, but also provides useful reference and inspiration for the educational reform of veterinary majors in peer universities. Its successful implementation proves that emphasizing innovative teaching models and diversified talent cultivation in veterinary education is an important way to improve education quality and meet social needs. Therefore, this model has important promotion value and is expected to cultivate more high-quality talents with innovative spirit and practical ability for the veterinary industry.

The Prevention and Management System of Public Emergencies based on Community

With the in flux of population and the increasingly complex changes of social structure, more and more public emergencies spread from the community grass‐roots level to all over the world. The occurrence of large‐scale public emergencies around the world makes its prevention and governance enter the research field of vision again. The role of grass‐roots communities in the prevention and response of public emergencies is becoming more and more important, because it is not only related to the life and health of grass‐roots people, but also of great significance to maintain that our country is and will be in the primary stage of socialism for a long time and the long‐term stable development of economy and society. This document makes a preliminary analysis and report on the prevention and management of community grass‐roots response to public emergencies, and these problems will attract extensive attention of the people, and improve the attention of grass‐roots communities to the disposal of public emergencies.

"Virtual Parallel Societies"—A Study on the Differences in Mobile Application Usage Between Hong Kong and Mainland Chinese Adolescents

Objective: This study explores the differences in mobile application usage between adolescents in Hong Kong and Mainland China, highlighting how these variances contribute to the formation of virtual parallel societies. Methods: The theoretical framework incorporates Walter Lippmann's Public Opinion and Eli Pariser's Filter Bubbles to explain how algorithm-driven platforms foster informational silos. The study employed a mixed-methods approach, primarily using secondary data from the QuestMobile 2023 China Mobile Internet Annual Report and data from the Department of the Government of the Hong Kong Special Administrative Region, along with qualitative research methods such as semi-structured interviews and content analysis of social media interactions. Results: The findings suggest significant disparities in app usage between adolescents in Hong Kong and Mainland China, influenced by technological, sociological, and political factors. Adolescents in Hong Kong preferred global platforms like Instagram and Facebook, while Mainland Chinese adolescents used local platforms like WeChat and Weibo. These differences were influenced by sociological factors, including class, education, and access to technology, and contributed to the formation of distinct informational silos. Conclusion: The differences in mobile application usage have led to the development of virtual parallel societies, with implications for national identity and socio-political cohesion. Policy recommendations include enhancing media literacy, promoting Chinese perspectives globally, and encouraging social media platforms that foster a shared national identity.

STATE POLICY AS A FORM OF TARGETED STATE ACTIVITY

The article examines state policy as an organized and purposeful activity of the state, which provides for the protection of public interests, ensures the adoption of balanced and justified state decisions, and contributes to the stable development of Ukrainian society. Issues of state policy formation in the system of planning and implementation of development plans of modern society are considered. It was determined that with the transition from bureaucratic forms to innovative methods of managing the state and society, state policy acquires certain signs of publicity, due to the involvement of both state and non-state public organizations in its implementation. It has been proven that the European integration of Ukraine is accompanied by changes in state policy, which is based on European values ​​and standards for the formation of a legal, social and democratic state. Therefore, it is better to use the term «public policy», as active purposeful actions of the state based on the cooperation of state institutions, civil society institutions, as well as non-state organizations and individual citizens. It is noted that the participatory theory of democracy should become a universal principle of organizing the public policy of the Ukrainian state. Because the basis of the effective functioning of participatory democracy is a developed civil society, as well as public trust in the activities of state and public institutions, that is, citizens' confidence in the correctness of the actions of public authorities to implement the goals announced by the state. It is substantiated that modern state (public) policy, firstly, is designed to ensure public expression of will, expression of interests and needs of the population and their practical implementation at the level of power institutions; secondly, it should be based on the principles of: openness, transparency and democracy; thirdly, in the process of development and implementation of political decisions, civil society institutions should be involved in this work. The specific characteristics of state policy as an active activity are singled out, which distinguish it from a whole array of other types of policies. In further studies, it is suggested to pay attention to the normative and legal regulation of state policy.

Research on the Integration of Ideological and Political Education and Mental Health Education in Undergraduate Colleges

In recent years, the integration research of ideological and political education and mental health education in undergraduate colleges has attracted much attention. The integration of the two can not only help to improve students’ ideological and political quality but also effectively promote the overall development of student’s mental health. With the rapid development and change of society, college students are facing increasingly complex psychological pressure and challenges, therefore, ideological and political education and mental health education combined, have become one of the important directions of the current higher education reform. Based on this, based on a comprehensive analysis of the close relationship between ideological and political education and mental health education, the article takes undergraduate colleges as the research object and actively explores the integration path of the two.

Organizational culture of professional’s personality: Features of modern content and formation in the context of digital development of the educational environment

Introduction. The authors examine the problem of forming a personality’s organizational culture with an emphasis on the becoming of a professional’s personality in modern conditions of social development.Purpose setting. The article purpose is to identify the features of the professional personality organizational culture in the context of digital development of the educational environment.Methodology and methods of the study. The study of the concept «organizational culture of professional’s personality» is based on the analysis and scientific generalization of publications problematizing the issues of formation of professional qualities of a modern personality that influence the formation of organizational components of its culture. The concept of organizational culture is considered in its general content with an emphasis on the totality of all cultural values created by an organization, determined by the historical and cultural context of the development of society as a whole.Results. Through the generalization of these sources, the features of the content of the concept of «organizational culture of professional’s personality» are revealed. Based on the study of the issues of formation of the organizational culture of professional’s personality in the context of current development of the digital educational environment, it is emphasized that in the context of modern problems of the development of society, its globalization and digitalization, the issues of organizational formation of professional’s personality acquire their own specifics. It is emphasized that the organizational principles of formation of the culture in modern conditions are directly mediated by the development of various forms of network interaction in the educational system. The need for the formation of the motivational component of the organizational culture of a professional in the modern conditions of the development of the digital educational space is emphasized.Conclusion. The contradictions between the challenges of an intensively evolving digital environment in modern conditions of development of the professional education and the personal values of professionals are reflected in the formation of the individual organizational culture, while the organizational component of personality’s general culture is called one of the most important for formation in the professional educational system. As a result, it is emphasized that one of the most important features is the mutual influence of the components of a professional’s digital culture on the components of his organizational culture in the process of becoming a person’s readiness for professional activity.

The Connotation, Mode and Path of Talent Training in Higher Vocational Education in the Era of Artificial Intelligence

In the era of artificial intelligence, a new form of economy has appeared. Accordingly, it is necessary to adapt to the new era of technical skills, compound and innovative talents. As an important position for training technical talents, higher vocational colleges show new characteristics in the era of artificial intelligence and need to innovate the training mode of talents. Based on this, the article will analyze the difference between higher vocational education and undergraduate vocational education, and focus on the analysis of the innovative path and strategy of higher vocational education to train talents in the era of artificial intelligence, to cultivate innovative skilled talents who adapt to the era of artificial intelligence and meet the needs of the development of society and the era [1].

Efficient Fault Detection and Analysis of Power System Distribution Networks by Integrating BP Data Mining

As the basic guarantee for people’s production and life, the safe operation of the power system has an important impact on the development and operation of society. To ensure the safe and stable operation of the power grid, predicting potential faults and taking reasonable preventive measures can effectively avoid the occurrence of power accidents. However, due to the difficulty in ensuring the prediction accuracy of traditional methods, there are issues of protection misoperation and rejection. Therefore, in order to achieve accurate prediction of power grid faults and avoid protection misoperation and rejection issues, a distribution network fault classification prediction model using a combination of three-layer data mining model (TLDM) and adaptive moment estimation (Adam) algorithm/random gradient descent algorithm improved backpropagation neural network (BPNN) is proposed. The implementation results showed that the classification accuracy of artificial fish school [Formula: see text] priori, [Formula: see text]-means clustering convolutional neural network model and TLDM for single-phase grounding faults was 93.2%, 91.5% and 96.6%, respectively. The classification accuracy for two-phase faults was 92.8%, 92.4% and 95.7%, respectively. The classification accuracy for two-phase grounding faults was 93.7%, 91.2% and 96.9%, respectively. The classification accuracy for three-phase faults was 93.3%, 92.1% and 97.1%, respectively. The TLDM had the highest classification accuracy. The average accuracy, average accuracy and average recall of the BPNN improved by the combination of the ADAM algorithm and random gradient descent algorithm were 94.1%, 90.9% and 88%, respectively, which were higher than the BPNN improved by the combination of ADAM algorithm and random gradient descent algorithm. The above results indicate that the proposed distribution network fault classification and prediction model has good performance and can achieve accurate prediction of distribution network faults.

Acts of gender activism in Stephen Chifunyise’s selected plays

This article explores Stephen Chifunyise’s portrayal of empowering identities of women which are considered as ‘gender activist’. Many of Chifunyise’s plays deal with gendered issues of space, democracy, governance and citizenship. The plays are rooted in African culture which attempts to balance the gendered nature of African communities to effectively advocate for the adoption of critical changes that have happened within these communities. The article views Chifunyise as a gender activist who uses theatre to bring to the fore issues which highlight the plight of women. The article utilizes an Africana Womanist perspective to analyse how Chifunyise includes women in society and more importantly, structures the way in which they are to be included as partners to the development of societies. Africana Womanism acknowledges men as part of this experience and as being key in its construction and in the deconstruction of women’s oppression. The article will analyse Chifunyise’s Waiting for Constitution (2010) and 365 (2011).

Система государственного управления как актор политики по обеспечению жизнеустойчивости страны (на материалах РФ и стран Запада)

This study draws conclusions from the analysis of the activities of governmental bodies and the public administration system in ensuring the resilience of the country. Resilience is understood as the state and capacity of society to counteract both external and internal threats without significant losses to the vitality and integrity of the nation. The viability of a country depends on a variety of conditions and factors that affect its existence and position at a particular time. The study reveals the management subjects and the mechanisms for implementing state policy. Systemic errors in the implementation of state policies aimed at ensuring national resilience are identified. Furthermore, ways for improving the public administration system as a mechanism that fosters the achievement of this goal are proposed. The main task of public policy for ensuring national resilience is the development of society and the overcoming of uncertainty and chaos in the relationships among individuals, society, and the state under the influence of both internal and external threats. “Freedom” as a systemic category characterizes the quantity and quality of connections among the elements of the system. It can be stated that the greater the freedom afforded to social systems – characterized by fewer moral, ethical, spiritual, legal, and other ties – the lower the level of security within such a society. In addressing the challenge of ensuring the resilience of the country, enhancing the effectiveness of the public administration system demands firm political decisions and operational management.

Fire Recognition Method Based on PSO-BP Neural Network and ResNet50

The rapid development of modern society and continuous urbanization have resulted in a proliferation of functional buildings, which offer significant convenience to individuals, but pose significant fire hazards as well. How to detect the fire at the early stage is always the focus of research. This paper proposes a multi-information source fusion fire recognition method based on particle swarm optimization (PSO)-backpropagation (BP) neural networks and ResNet50. The PSO algorithm is applied to optimize the initial parameters of a BP neural network model, while data from three sensors — temperature, humidity and smoke — are integrated, through iterative training of the system, accurate recognition of sensor data can be achieved. Additionally, a method is proposed for the recognition of infrared fire images using ResNet50 and transfer learning. By improving the ResNet50 network model and migrating the ResNet50 pre-trained network weight, infrared fire image recognition accuracy is further enhanced. Then the sensor information recognition results and image information recognition results are input into the fuzzy system for fusion reasoning again, and the final decision is output according to the set fuzzy rules. Experimental findings demonstrate that the multi-information source fusion approach utilizing the PSO-BP neural network and ResNet50 significantly enhances the accuracy and response time of fire recognition, and achieves a remarkable recognition effect.

Microbiological and Physicochemical Approach in the Feeding of Superworm (Zophobas morio) with Petroleum-Derived Polymer Diets

Plastics are very versatile materials that have contributed to the development of society since the 19th century; however, their mismanagement has led to an accumulation of plastic waste in almost every ecosystem, affecting the fauna of the planet. However, recently, some studies have shown that some insects might be able to adapt, consuming a wide range of hydrocarbon base polymers. In this work, the adaptive capacity of Zophobas morio larvae when feeding on different synthetic polymers derived from petroleum was studied. Four different thirty-day larval feeding treatments were carried out with synthetic polymers, including expanded polystyrene (PS), low-density polyethylene (LDPE), polyisoprene (PI), and butyl rubber (BR); in addition, a positive control of organic diet was included. Intestinal bacteria were isolated from the treatments and identified by Sanger sequencing. To analyze the chemical composition and physical form of the frass produced, Fourier transform infrared spectroscopy (FITR) was performed, and images of the feces’ surfaces were taken with scanning electron microscopy (SEM), respectively. Zophobas morio larvae were able to consume 54% of PS in 30 days, equivalent to 3.2 mg/d/larva. Nine culturable bacterial strains associated with the decomposition of synthetic polymers were identified in the intestine of the larvae. As for the physicochemical analysis of the feces, FTIR spectra showed the scission of bands corresponding to functional groups of the synthetic polymers in the comparison of the plastic diet treatments versus the feces of antibiotic-treated and plastic-fed larvae, while the comparison of spectra of the plastic and control treatments also identified differences in the absorption peaks. SEM imaging demonstrated that superworm feces differed in dependence on the substrate consumed. The findings demonstrated that Zophobas morio larvae possess a gut biological complex that allows them to feed and survive by consuming various petroleum-derived polymers.

Comparative Study of Evaluation Indicators for Learning Cities and the Implications

With the development of society, more and more cities are participating in the initiative to build learning cities. Constructing an evaluation indicator system for learning cities to monitor the progress and promote their growth has become increasingly important. This paper analyzes the preliminary framework of the UNESCO Global Learning City Index and R3L+ Quality Framework. The comparison is made from the aspects of design philosophy, criteria of indicator, and the cycle of evaluation process. The findings suggest that the construction of an evaluation indicator system should be focused more on the diversity of learning city development, the construction of an evaluation process cycle, and the significance of building cooperative networks.

Purkhyauli Thalo: Me and My Auto Ethnographical Study

The main purpose of this article is to connect my personal experience with social meaning. This article presents my personal experience as a story. In this auto ethnography knowledge production, I present myself and my own particular experience as an analytical narrative. Through this auto ethnography, I have once again connected with the world I lived in and the vivid experiences there through interaction. As a person is a social being, he learns social customs, values and conduct from the elders of the society and the person himself is the source of social information for him. I have taken as a source of information what I have learned directly from the society that brought me up, what I have seen and experienced and who I have interacted with. From the study area, I have received information from people who have lived in different places in the country and abroad through phone interactions and meetings. I have prepared this auto ethnography article by including the social experiences of my mother who raised me and her life stories as a source of information. People are bound by the customs of society. In this auto ethnography exploring social and its associated customs, it becomes apparent that certain rituals once imbued with significance by our ancestors may how imped societal progress. While these rituals held meaning in their time, their contributed practice poses challenges to the advancement of our community. It seems that there is a need for change in the rituals that have been going on like that. There is a need for a progressive change in the traditions that are the hindrances to the development of such old societies. The conclusion of this article is that there is a need for progressive change in the old social injustices based on caste, gender and color.

Spatiotemporal Pattern Analysis and Prediction of Carbon Storage Based on Land Use and Cover Change: A Case Study of Jiangsu Coastal Cities in China

Accurate estimation of terrestrial ecosystem carbon storage and the scientific formulation of ecological conservation and land use policies are essential for promoting regional low-carbon sustainable development and achieving the goal of “carbon neutrality.” In this study, the FLUS–InVEST model was used to evaluate the carbon stocks of the Jiangsu coastal zone in China from 1995 to 2020 and scientifically forecast the changes in carbon stocks in 2030 under three scenarios: natural exploitation, ecological protection, and economic development. The results are as follows: (1) From 1995 to 2020, carbon storage in the coastal zone initially remained stable before declining, a trend closely linked to the accelerated urbanization and economic growth of Jiangsu Province. (2) By 2030, carbon storage under the three scenarios exhibits a pattern of “S1 decrease–S2 increase–S3 decrease,” with a more significant increase in construction land under the natural development and economic development scenarios compared to the ecological protection scenario. (3) The sensitivity of carbon storage to land use changes varies across scenarios. In the natural development scenario, carbon storage is most affected by forest reduction and construction land expansion. In the ecological protection scenario, it is more responsive to increases in non-construction land. In the economic development scenario, the expansion of construction land leads to the most significant decrease in carbon storage. Therefore, when formulating future territorial spatial planning policies and urban development strategies, it is essential to consider ecological protection and economic development scenarios comprehensively, taking into account carbon sequestration capabilities. This approach will ensure effective conservation and restoration of damaged ecosystems while safeguarding the robust development of urban economies and societies.