Journal of Education, Humanities and Social Sciences
Journal of Education, Humanities and Social Sciences is an open access, peer-reviewed publication series published by Darcy & Roy Press. It aims to publish conference proceedings dealing with all areas of education, sociology, economics, psychology, history, geography, linguistics, etc.
Sustainable Tourism Optimization Based on an Improved Ramsey Model: A Case Study of Juneau
Tourism development has brought both economic vitality and environmental challenges to destinations worldwide. This essay addresses the issue of over-tourism in Juneau, Alaska, by constructing a sustainable tourism optimization model that integrates economic, social, and environmental factors. Using an improved Ramsey optimal growth model, this essay set social welfare as the objective function, constrained by tourist numbers, natural resource stock, and resident satisfaction. A hybrid method combining EWM-AHP and TOPSIS is employed to quantify resident satisfaction, while a tourism tax mechanism is introduced to model revenue feedback loops. The model yields an optimal tourist capacity of 1.63 million and a resident satisfaction level of 0.943 under maximum social welfare conditions. To test the model’s adaptability, this essay generalizes it for other regions by replacing glacier retreat with a broader natural resource depletion rate and apply it to Kyoto and Banff as case studies. Results demonstrate that sustainable tourism policies must be tailored to local ecological and economic conditions. This model provides a scalable framework for guiding tourism policy toward long-term sustainability and balanced development.
Over-tourism, Sustainable Tourism, Ramsey model, Resident satisfaction.
Copyright (c) 2025 Journal of Education, Humanities and Social Sciences https://creativecommons.org/licenses/by-nc/4.0
A Study on the Multi-Dimensional Equilibrium in Sustainable Tourism Based on an Integrated AHP-Entropy and Dynamic Programming Model
Coastal destinations globally are confronting unprecedented cruise tourism expansion, driven by rising disposable incomes and middle-class growth, which generates substantial economic revenue (exceeding $150 billion annually for port economies) while simultaneously straining local infrastructure, compromising resident well-being, and degrading fragile marine ecosystems; compounded by climate change impacts such as sea-level rise and extreme weather events accelerating natural landmark deterioration, iconic regions like Venice and Caribbean islands face critical sustainability trade-offs between short-term profits and irreversible socio-ecological costs. To address this, our study proposes an integrated multi-objective optimization framework dynamically balancing economic benefits, social equity, and environmental conservation through synthesized Analytic Hierarchy Process (AHP)-entropy weighting that quantifies stakeholder priorities (residents > tourists > operators) and cross-dimensional feedback mechanisms; employing dynamic programming with IoT/satellite data inputs (e.g., tourist density, coral bleaching alerts), it continuously adjusts visitor capacity caps, environmental expenditure allocation, and attraction diversification strategies via sensitivity-validated algorithms tested under 12 climate-tourism scenarios. Quantitatively validated across eight global hotspots (including Santorini and Phuket), this model demonstrably reduces ecological damage by 22%, increases resident satisfaction by 35%, and optimizes disaster funding allocation, offering a transferable methodology for sustainable tourism governance in overtourism-affected regions worldwide.
Sustainable Tourism, Ecological Balance, Economic Optimization, Dynamic Optimization.
Research on Crop Planting Strategy Based on Linear Programming Model
This article addresses the long-term profit maximization needs of a rural village in the mountainous region of North China under limited arable land resources, focusing on the optimization of crop planting across multiple cycles. The study particularly tackles the challenge of coordinating yield overproduction risks with complex constraints. Existing research predominantly focuses on single-year or single-objective scenarios, lacking systematic integration of long-term dynamic planning and differentiated sales strategies. Our research constructs two profit functions based on a linear programming model, incorporating a seven-year cycle, land type restrictions, and crop rotation constraints to design a phased optimization strategy. By integrating land parcel information, crop attributes, and historical planting data, the impact of overproduction scenarios on profits is quantified. Under the assumption of a static market, the price reduction sales strategy outperforms the stockpiling strategy, increasing total profits by 12.5%-20%. Additionally, crop rotation constraints balance short-term gains with long-term soil health, and post-optimization, high-value crops such as golden oyster mushrooms dominate the planting area, validating the model's adaptability to complex constraints. This experiment proposes a planting optimization scheme that combines economic efficiency with sustainability by integrating multi-cycle dynamic planning and differentiated sales strategies, providing theoretical support for rural agricultural decision-making. Future work could enhance the model's dynamism by incorporating climate forecasting and blockchain technology.
Crop Planting Optimization, Linear Programming Model, Multi-Period Dynamic Programming, Oversupply Scenario Analysis, Crop Rotation Constraints.
A Study on Sustainable Tourism Optimization Based on a Logistic-Driven RTS Model
As one of the fastest-growing industries in the world, tourism has become an important driver of economic development. However, its rapid expansion has also brought about serious environmental degradation and social unrest, especially in regions facing overtourism. Therefore, sustainable tourism has become a global priority. This study proposes an RTS tourism optimization model to balance economic benefits, environmental impacts, and social well-being. The three optimization factors of the model are total tourism revenue (R), tourism carbon footprint (TCF), and social happiness index (SH), which represent the economic, environmental, and social dimensions, respectively. The economic revenue (R) is modeled using a logistic model to simulate the initial growth and subsequent saturation stages of tourism development, thereby obtaining the RTS optimization model. The model is applied to overtourism cities (Juneau). The Pareto optimal solution is selected based on the entropy weight method (EWM) using the NSGA-II and NSGA-III algorithms combined with actual data. The results show that the proposed model can significantly reduce the environmental burden and improve the well-being of residents while ensuring an acceptable level of tourism revenue, which provides a flexible and scalable framework for local governments to design evidence-based sustainable tourism development policies.
Sustainable Tourism, Logistic Model, Multi-Objective Optimization, NSGA-II Algorithm, EWM.
A Study on the Impact of Agricultural New-quality Productivity on Food Security in China: Based on Mediating Effects
Agricultural new-quality productive capacity is a key driver for enhancing food security and achieving agricultural modernization. Based on panel data from 30 provinces and unicipalities in mainland China from 2013 to 2022, this study constructed a dual fixed-effects and mediation effects model and employed empirical analysis methods to validate the impact of agricultural new-quality productive capacity on food security and its underlying mechanisms. Research results show that developing new high-quality production capacity in agriculture greatly improves food security, but with heterogeneity. In grain-producing regions and eastern regions, the enabling effect of agricultural new-quality productive capacity on food security is more pronounced. The mediating effect suggests that the development level of rural industrial chains and supply chains, as well as digital agriculture, play a mediating role in the process by which agricultural new-quality productive capacity promotes food security.
Agriculture New Quality Production, Food Security, Mediating Effects Model.
Research on Sustainable Tourism Development Path Based on Dynamic Regulation and Multi-Objective Optimization
The rapid development of the tourism industry brings economic benefits but also triggers environmental and social issues. This study addresses problems such as glacier retreat and ecological destruction caused by over-tourism, constructing a system dynamics model that integrates environment, economy, and society to comprehensively tackle key challenges in the tourism development of Juno City. The research employs various methods, including systems dynamics, nonlinear optimization, and sensitivity analysis, to quantify visitor numbers. This not only provides scientific and reliable decision-making support for Juno City's sustainable tourism development but also has significant potential for application and promotion, offering valuable insights for tourism development in other regions. The results indicate that seasonal visitor numbers should be dynamically regulated, adjusting investment structures through changes in environmental protection investments, community project investments, and tax rates to control visitor numbers and achieve sustainable tourism goals.
Nonlinear Optimization, System Dynamics, Genetic Algorithm, Sustainable Development.
Research on the Characteristics of Population Flow in Yanbian State Influenced by Policy Environment Based on Non-parametric Tests
Focusing on the Yanbian State, this paper applies non-parametric tests to analyze the impact of the policy environment on the characteristics of population flow. It not only focuses on policy factors directly related to population flow, such as the household registration system and cross-border management measures, but also deeply explores indirect influencing factors such as public service and tax policies. The study shows that the household registration system and cross-border management measures significantly affect the purpose of population flow related to employment and business, but have no significant effect on the other purposes and the frequency of flow. The effects of public service and tax policies on frequency and purpose are also insignificant, indicating that although policy factors have a significant role in guiding population flow in specific aspects, there are differences in the overall effects. This paper provides empirical evidence for optimizing the policy environment and promoting rational regional flow. This paper aims to systematically analyze the phenomenon of population mobility in the Yanbian region through the policy environment, reveal its internal laws and action mechanisms, provide theoretical support for promoting the modernization of border governance, and offer scientific basis and decision-making references for policy optimization, regional coordinated development, and social harmony and stability in the Yanbian region and even other border areas.
Characteristics of Population Flow, Non-parametric Tests, Yanbian State.
Planting Optimization in the Northern China Based on 0-1 Programming
In order to comprehensively promote the development of agricultural modernization and ensure the sustainability of Rural Revitalization land in North China, this paper will propose a general mathematical model according to the realistic natural constraints of rural areas in mountainous areas of North China, in order to improve the total agricultural income. Through the establishment of 0-1 integer programming model and nonlinear model, the rural crop planting strategy in China from 2024 to 2030 was optimized. Finally, the overall profit of the model shows an upward trend, which is similar to the development trend of China's agricultural product market. The model can flexibly adapt to the changes of market and natural conditions, and has good scalability, which can provide help for the construction of agricultural power.
Monte Carlo Algorithms, Planting Optimization Strategy, 0-1 Programming.
Literary Genealogy: Narrative of Cultural Homecoming along the Grand Canal in Xu Zechen's Bei Shang
As a physical conduit bridging northern and southern China, the Grand Canal historically functioned as both an economic lifeline for grain transport and a silent witness to modern China's social transformation. Literary engagement with this aqueous artery has persisted since its inception. Xu Zechen devoted four years to crafting his novel Bei Shang following extensive research—a departure from his "Flower Street" and "Northern Drift" series. Centering on the Beijing-Hangzhou Grand Canal, the narrative intertwines familial sagas: ancestors forged connections while accompanying the Italian explorer Paolo on his northbound journey, while descendants rekindled bonds through their shared mission to revitalize the waterway. This study probes into the novel's representation of the Canal as cultural vessel, examining root-seeking narratives through dual prisms—temporal excavation of historical continuity and spiritual pilgrimage toward cultural identity.
The Grand Canal, cultural root-seeking, Bei Shang.
Motivation Towards English Learning and the Acquired Proficiency in ESL: A Study of Native Speakers of Chinese in the UK and Chinese Universities
This study investigated the relationship between English learning motivation and second language writing ability among Chinese university students. Data were collected from 45 Chinese students (undergraduate to doctoral students) at universities in China and the UK using the Gardner Motivation Scale and a timed writing task. Lexical and syntactic complexity of their writing was assessed using the CTAP (Computed Topic Text Analysis Tool). The study found that: Instrumental motivation was dominant (68%), particularly among native Chinese students with a strong desire for career development. The high-motivation group performed significantly better in writing than the low-motivation group (t=4.32, p<0.01), with their text lexical diversity (HDD index) averaging 0.28 higher. Although the UK international students had slightly lower motivation intensity (mean 0.7 points lower), their syntactic complexity (average number of clauses per article) surpassed the native group by 37%, demonstrating a compensatory effect of immersion on writing ability. The results highlight the crucial interaction between motivation type, intensity, and learning environment on second language writing ability, providing empirical evidence for differentiated writing instruction.
English writing performance; Instrumental motivation; Lexical complexity; Syntactic complexity; Transnational education environment.
Chinese Characters and Cultural Identity: A Cultural Interpretation from “Standardization of the Writing System” to Modern Script Reforms
As the foundation of Chinese culture and the crystallization of the wisdom of the Chinese nation, Chinese characters have evolved over thousands of years while consistently maintaining national unity and cultural cohesion. This article explores the historical journey of Chinese characters, from the Qin Dynasty’s policy of “standardization of the writing system” to the contemporary script reform and the modern “unification of pronunciation” initiative, highlighting their role in fostering national integration and linguistic unity. In the face of globalization and digitalization, contemporary reforms of Chinese characters balance the demands of traditional culture with the needs of modernization, while digital transformation offers new opportunities for the innovative development and international dissemination of Chinese characters. The evolution of Chinese characters is not only a linguistic history but also a cultural and identity narrative. Future research should focus on innovating digital-supported dissemination methods, formulating multilingual policies that maintain balance, and developing cross-cultural communication strategies for Chinese characters in a globalized world, thereby deepening the understanding and appreciation of Chinese culture and enhancing its global influence.
evolution of Chinese characters, cultural identity, standardization of the writing system, unification of pronunciation, modern script reforms.
Leadership Development among High School Girl Athletes
The purpose of this study is to examine leadership development processes in high school girl athlete teams, by zeroing in on the following micro-level team level dynamics. Since this study was conducted using a qualitative research design, the data for this paper were collected through semi-structured interviews with eight varsity and junior varsity high school lacrosse players (in addition to observations of practices, tryouts, and games) at an all-girls private high school. The main conclusion is that the availability of leadership development opportunities is not balanced, because athletes with high prior experience levels and high expectations were much more likely to become leaders and benefit from the roles. Conversely, new or low-skill players often struggle to admin team responsibilities and can be pushed out without the right attention. Furthermore, the research underlines how coaching style is a key determinant in either widening the experience gap or leveling the playing field by providing considered scaffolding for less experienced players. In summary, according to this research, for high school sports to be a site where the full range of opportunities within sport are opened to female representation as leaders programs must go above and beyond existing models that position girls as passive participants and instead actively create (and sanctify) inclusive structures that model and instill all athletes with power despite their starting experience levels.
Leadership Development, High School Athletics, Female Athletes, Team Dynamics, Qualitative Research.
An Integrative Framework for the Educational Interaction Design of AI-Driven Personalized Learning Platforms
Personalized learning platforms powered by AI are transforming the education landscape, but the technical sophistication of the platforms creates experiences that feel disconnected, eroding user trust. This paper addresses this gap by constructing an integrative framework to guide the design and evaluation of these platforms. Informed by an interdisciplinary approach to pedagogy, cognitive science and Human-Computer Interaction (HCI), the framework is grounded in Cognitive Load Theory (CLT) to improve learning. The framework is driven by three strategic pillars: (1) personalization and Explainable AI (XAI) by providing personalized guidance in an effort to foster trust; (2) motivation and engagement enabled by meaningful gamification and immersive technologies; and (3) a balanced approach to agency and collaboration, utilizing a “Teacher-in-the-Loop” (TiL) model. Importantly, there are mechanisms within the framework to address the most pressing ethical challenges, including algorithm bias, privacy concerns and the digital divide. This study provides a systematic learner-centric framework for the design of ethically-aware platforms that facilitate more equitable and effective learning.
Personalized Learning, AI in Education, Interaction Design, Learning Analytics, Cognitive Load Theory, Explainable AI.
Living Conditions and Career Development of Mountain Guides in Tibet
With the increasing popularity of mountaineering in China, Tibetan Mountain guides have become valuable to study as an indispensable group for the sport. This study studied the Living conditions and career development of mountain guides in Tibet by means of questionnaire survey, semi-structured interview and literature comparison. The results show the characteristic of mountain guides in Tibet and The Chinese government still needs to improve and enhance many policies for Tibet to ensure that Chinese Tibetan Mountain guides make outstanding contributions to the mountaineering industry in China and the world and have a positive development trend in the future. This study discusses the current situation and future trend of mountaineering in Tibet, analyzes the present and future role of mountain guides in Tibet, and direction for further studies are discussed.
Dynamic Analysis and Optimization of Agro - ecosystems Based on the LV Model
With the advancement of agriculture, deforestation for farmland has disrupted ecological balance and species patterns. This study constructs multiple models for analysis: the Basic Farmland Ecosystem Model (BFW) established based on the Lotka-Volterra competition model, and the Marginal Species Regression model (MSR) that combines improved cellular automata with the LV model. Results demonstrate that the return of marginal species enhances system stability. The impacts of reducing pesticide application and introducing bats are also investigated. An Eco-Sustainability Indicator (ESI) is developed to optimize organic farming models, identifying the optimal parameter combination. Specifically, a 0.5 increase in the fertilizer factor and a 20% increase in secondary-consumer biomass yield the maximum ESI of 0.7098. This research provides theoretical foundations and model support for the sustainable development of agro-ecosystems, integrating ecological dynamics and human intervention strategies through interdisciplinary modeling approaches.
L-V model, Improved cellular automaton, ESI, EWM.
Dynamic-Multiple Model for Agricultural Ecosystem Evolution and Effects of Biological Interventions
As forest resources are continuously converted into agricultural land, the ecosystem balance faces significant challenges, disrupting local biodiversity. To understand the evolutionary process of agricultural ecosystems, a Dynamic-Multiple (DM) agricultural ecosystem model is proposed. The Lotka-Volterra model is referenced, integrating natural processes and human decision-making, to develop the DM model and examine the population biomass variations of four species in the eastern Hubei Yangtze Plain. Biomass variation trends of different species under the influence of five factors are identified. The DM agricultural ecosystem is modified by introducing two new species, snakes and mice. Re-analysis of biomass variations shows that the introduction of snakes and mice significantly impacts bat biomass, with no notable effect on other species. The model is further modified by incorporating Plant Growth-Promoting Bacteria (PGPB) and pollination effects. PGPB is found to primarily influence crop biomass, while the pollination effect mainly affects crop growth rate. When herbicides are removed during sowing in the third year, a significant decline in crop biomass is observed, and the number of consumers tends to stabilize. The model is validated through the above three cases.
Agricultural Ecosystems, Lotka-Volterra Model, Dynamic-Multiple Model.
A study on the impact of healthcare reform policies on different patient behaviors in hospitals based on multiple regression analysis
To examine the impact of the government’s healthcare reform—eliminating the 15% drug price markup—on hospital revenue structures and patient behavior across socioeconomic groups, a multiple regression model was applied to 2015–2018 Q2 patient data from a major hospital in Liaoning Province. Results revealed that the reform shifted hospital drug revenue from profit-driven to volume-driven models, with service revenue proportion rising. Rural patients saw a 12.5% reduction in drug costs, while elderly chronic disease patients experienced limited benefits due to a 14.1% increase in service fees. Insurance status showed no significant correlation with reform outcomes. The study confirms the reform’s effectiveness in restructuring hospital income but highlights service cost burdens for elderly chronic patients. Policy recommendations include optimizing healthcare resource allocation by socioeconomic disparities and leveraging data to tailor insurance and institutional strategies.
Healthcare Reform, Patient Behavior, Socioeconomic Groups, Multiple Regression Analysis.
Research on Production Process Problems Based on Dynamic Programming
This paper addresses the quality inspection and cost optimization issues faced by an electronic product manufacturing enterprise by proposing a hybrid decision-making model based on sequential detection and dynamic programming. A truncated sequential confidence inspection model is constructed by integrating sequential sampling and likelihood ratio test methods. Under the condition of a nominal defective rate of 10%, the model enables dynamic adjustment of the sampling volume. When the actual defective rate is 20%, the model can reject an entire batch of spare parts with a relatively small number of samples. When the defective rate is close to the nominal value, it can reduce the number of samples to avoid excessive inspection. Meanwhile, a multi-stage dynamic programming model is established to minimize costs, and the optimal decision-making schemes for six typical production scenarios are derived and verified. This model provides decision-making support for enterprises that balances quality control and cost-effectiveness.
Truncated Sequential Sampling, Likelihood Ratio Test (LRT), Dynamic Programming, Total Cost Minimization, Production Decision Optimization.
The Rise of Contemporary Abstract Advertising – Aesthetic Chaos or Marketing Genius?
This study set out to explore the function and reception of abstract advertising in contemporary digital environments, particularly among Gen Z consumers. Through a combination of literature review, visual case analysis, focus group interviews, and social media content analysis, the research has shown that abstraction in advertising - though often ambiguous - can powerfully engage audiences when aligned with emotion, aesthetics, and identity.
abstract advertising, aesthetic chaos, social media.
Comparative Efficacy of Treatment Approaches for Autism Spectrum Disorders: A Systematic Review
This systematic review focuses on evaluating three widely used intervention approaches for autism spectrum disorders (ASD): technology-based parent-mediated programs, developmental social pragmatic (DSP) approaches, and augmentative and alternative communication (AAC) systems. ASD is characterized by challenges in communication, social interaction, and adaptive functioning. The review highlights the unique strengths of each approach, such as empowering parents as active participants, fostering naturalistic social engagement, and supporting communication for non-verbal children. However, variability in implementation and a lack of long-term studies underscore the need for integrated and personalized strategies. Future research should prioritize combining these interventions with emerging technologies to enhance developmental outcomes through collaborative efforts among families, educators, and healthcare providers.
Autism Spectrum Disorder (ASD), Early Intervention, Therapeutic Interventions, Technology-Based Tools, Adaptive Behaviors.
Institutional Predicaments and Optimization Paths in the Causality Determination of Liability for False Statement of Securities
In recent years, with the deepening implementation of China's registration system, the number of disputes related to liability for false statement of securities has increased significantly. In practice, problems such as the overly mechanical application of causality determination in liability for false statement of securities and the lack of uniform standards for determining the day of disclosure of false statement remain unresolved. This paper, through empirical analysis and comparative law study, proposes optimization paths that include clarifying the boundaries of the application of the fraud on the market theory, expanding the scope of application for causality presumption and unifying the standards for determining the day of disclosure of false statement. The aim is to establish a regulatory paradigm for the causality determination in liability for false statement of securities with Chinese characteristics, assisting regulatory agencies in improving laws and regulations, thereby strengthening constraint of information disclosure, enhancing market transparency, and promoting the sound development of the capital market.
False statement, Causality determination.
Analysis of the reasons for the low fertility rate in China since 2020
The weakening phenomenon of fertility behavior in China at the current stage has become a serious problem. This article starts from discussing driving factors that inhibit fertility intentions, and provides a detailed analysis of fertility policies, parenting costs, educational devaluation, the expansion of the LGBTQ+community, women's independence, and specific situations of infertility. It aims to help the country formulate relevant policies to address this issue, while also encouraging more people to pay attention to it, improve fertility rates, and achieve sustainable population development.
Reimagining the Witch Hunt: Gender, Power, and Social Reproduction in Contemporary Africa
This paper investigates a new phenomenon of witch hunts in post-colonial African societies, focusing primarily on Malawi, Ghana, Tanzania, and other Sub-Saharan states. It assesses the historical trends and present-day accelerants of witchcraft allegations, such as a weak health system, social disintegration, gendered relationships, and class divides. By analyzing the historical sources and recent fieldworks, the paper demonstrates the witch hunt as a form of social and gendered control discussing the misuse of traditions. There is criticism against the Western lack of profound interference due to a misconceived commenting relativism. Based on the study cases, statistical data, and the theoretical framework, this research enriches the understanding of the witch hunt location within the global patterns of marginalization, control, and resistance. Finally, the breed reveals the multifaceted approach, including legal optimization, health infrastructure enhancement, community education, and international partnerships.
Witch Hunt, Gender, Power, Social Production, Contemporary Africa.
Preface: 6th International Conference on Humanities, Management Engineering and Education Technology (HMEET 2025)
The 2025 6th International Conference on Humanities, Management Engineering and Education Technology (HMEET 2025) was successfully held in Seattle, USA during August 09-10, 2025. The conference program covered invited, oral, and poster presentations from scientists working in similar areas to establish platforms for collaborative research projects. There were more than 30 individuals who attended this conference, represented many countries. HMEET 2025 provides a forum for accessing to the most up-to-date and authoritative knowledge from academic worlds, sharing best practice in the fields of humanities, arts, law, history, management engineering, education technology, sustainable development, and social science. The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects. This allows for the free exchange of ideas and challenges faced and encourage future collaboration between members of these groups. HMEET Organizing Committee Seattle, USA
Study on the influence of long-term care insurance on life satisfaction of the elderly—— Empirical analysis based on CHARLS data from 2011 to 2020
As China's population ages, the number of elderly people is increasing sharply, and mental health issues among the elderly are becoming more prominent. This paper uses data from five waves of the Chinese Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, employing a progressive difference-in-differences model to investigate the impact and mechanisms of long-term care insurance on the life satisfaction of the elderly. The baseline regression results show that long-term care insurance has a more significant effect on the life satisfaction of men, rural residents, those without pension insurance, those with no social activities, older individuals, and low-income seniors. Through mediation mechanism research, it is found that long-term care insurance significantly influences the life satisfaction of the elderly through pathways such as physical health, mental health, and satisfaction with children. Notably, long-term care insurance does not significantly improve emotional connections between the elderly and their children, nor does it significantly enhance their life satisfaction. Based on the pilot experience of long-term care insurance, suggestions are made to improve top-level design, gradually expand the scope of pilots and coverage of insured individuals, establish a precise identification mechanism for nursing assistance, increase subsidies for disadvantaged groups, strengthen grassroots public health facilities, and promote equal access to basic public services.
long-term care insurance, healthy aging, active aging, life satisfaction.
Relating medical space equity and residents' characteristics
This paper explores the relationship between spatial equity in health care and residents' characteristics, with a particular focus on income levels in Hong Kong. Using a modified Gaussian two-step floating catchment area (2SFCA) approach, this study assesses the availability and quality of health care services, evaluates the impact of spatial equity on health outcomes, and provides recommendations for policymakers to enhance equitable access to health care. The results show significant differences in health care access across household incomes, highlighting that low-income residents often face barriers to quality health care.
Medical Accessibility, Spatial Equity, Income Disparities, Healthcare Services, High-Density City’s Income Gap.
Explore the relationship among various factors: Analysis of logistic regression
Heart disease is a common condition among living beings, especially humans. It can lead to severe consequences, including death. Therefore, it is essential to take preventive measures. Early detection can significantly increase the survival rate and reduce suffering. This study aims to demonstrate the application of logistic regression using heart disease as a case study. First, the paper introduces heart disease, including its causes, risk groups, contributing factors, current status, and available treatments. Next, it presents the relevant variables and pre-diction methods used in the logistic regression model. The results are then discussed, showing clear relationships between the predictors and the presence of heart disease. In conclusion, the study uses visual charts and statistical analysis to illustrate the value of logistic regression in medical diagnostics. According to the findings, logistic regression can effectively support the identification of disease risks and contribute to early diagnosis efforts. Future research should focus on optimizing model performance, integrating additional variables, and combining logistic regression with other advanced machine learning techniques to enhance diagnostic accuracy and reliability further.
Logistic regression, heart disease, morbidity rate.
Logicism's role in modern mathematics: A formal verification approach
This study investigates the applicability of logicism in contemporary mathematics, focusing on the explanatory power of Whitehead and Russell’s Principia Mathematica through formal verification techniques. By analyzing key theorems in elementary number theory, real analysis, and combinatorics, the research evaluates logicism’s ability to derive mathematical truths using purely logical axioms. Results show significant variability across domains: while the Four Color Theorem in combinatorics achieves a high logical score of 0.81, indicating strong alignment with logical principles, the Fundamental Theorem of Arithmetic (0.63) and the Intermediate Value Theorem (0.43) demonstrate greater dependence on mathematical axioms. These findings highlight logicism’s enduring influence in discrete mathematics but also reveal its limitations in continuous structures. The study concludes that logicism remains a valuable framework for understanding mathematical foundations, offering insights for the development of formal verification tools and guiding future mathematical practices in the digital age. This research underscores the need for tailored proof assistants and highlights the importance of balancing logical purity with mathematical rigor in an increasingly automated world.
logicism, contemporary mathematics, formal verification approach, mathematical axioms.
Research on the motivation of knowledge workers from the perspective of self-determination theory
With the rise of knowledge economy, knowledge workers have become an important source of enterprise competitiveness. How to motivate these employees effectively, especially by improving their intrinsic motivation has become one of the key issues in modern enterprise management. This study explores the motivation mechanism and strategies of knowledge workers from the perspective of self-determination theory. It is found that most of the current researches focus on the discussion of a single dimension of self-determination theory and most of the researches are limited to the western cultural background, ignoring the special needs of knowledge workers in Chinese culture. On this basis, it is proposed that future research should further explore the interaction effect between the needs of ego theory and develop a more perfect incentive model combined with other incentive theories. In addition, we should pay attention to cross-cultural comparative research, especially in the context of Chinese collectivist culture, knowledge workers' demand for incentives. The enterprise should design the incentive scheme according to the local characteristics according to the cultural differences. So as to improve the work performance and innovation ability of the employees. This study provides a new theoretical perspective and practical guidance for the motivation of knowledge workers.
self-determination theory, knowledge worker, incentive mechanism.
The Mismatches Between the Workplace in the Service Industry and Generation Z: A General Misalignment
Generation Z, as the new generation entering workplaces, is considered the future of many industries. However, as Gen Zers first step into workplaces, many of them struggle to satisfy their employers’ expectations and to adapt to their workplace culture. Structural mismatches between these young talents and their workplaces emerged in the past few years, leading to severe consequences, especially in the service industry. Being a customer-centric, experience-demanding, and ever-changing industry, the service industry witnessed more Gen Zers struggle to adapt. In the past few years, due to physical separation and the digitalisation of the service industry, more problems emerged and have made the mismatch between Gen Zers and the industry unprecedentedly widespread and severe, limiting businesses to recover and young employees to succeed. This article aims to identify the mismatches between the traits of Generation Z and the characteristics of the service industry, categorised based on Hofstede’s cultural dimensions, seeks to define and explain the mismatches, and provides fixing recommendations for managers to create a better environment for Gen Zers to thrive.
Generation Z, Service Industry, Hofstede’s Cultural Dimensions Theory .