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Targeted Balance Training in Parkinsonism with Type 2 Diabetes and Hypertension: A Case Study
No full textParkinsonism is a progressive neurological disorder where postural instability and impaired balance significantly elevate the risk of falls, especially in elderly individuals with comorbidities. The presence of Type 2 Diabetes Mellitus and hypertension further exacerbates fall risk by impairing sensory and cardiovascular responses. Early, structured physiotherapy interventions may mitigate fall risk and improve functional mobility.
A single-subject case study was conducted involving a 75-year-old male diagnosed with idiopathic Parkinsonism (Hoehn and Yahr Stage 2), with controlled diabetes and hypertension. A 6-week physiotherapy program focuses on balance training, lower limb strengthening, and cognitive-motor integration. Sessions were conducted five times per week, lasting 45 minutes each. Outcomes were measured using the Berg Balance Scale (BBS) and Timed Up and Go (TUG) test at baseline and post-intervention. The patient showed significant improvement in both outcome measures. BBS scores increased from 35/56 to 48/56, indicating enhanced static and dynamic balance. TUG time decreased from 22.4 to 13.8 seconds, reflecting improved functional mobility and reduced fall risk. The intervention was well tolerated, with no adverse events reported. This case highlights the efficacy of a structured physiotherapy program tailored to the needs of an elderly Parkinsonism patient with multiple comorbidities. The improvements in balance and mobility underscore the importance of early intervention and individualized care. Integration of comorbidity-specific precautions further ensured safety and participation, promoting functional independence and fall prevention
Research on the Ecological Mechanism Construction and Sustainable Development of College English Teaching
No full textUnder the backdrop of the new era, university English teaching faces multiple challenges, including the transformation of teaching mechanisms, breakthroughs in quality bottlenecks, the redefinition of assessment standards, and the adjustment of developmental directions. Traditional linear approaches are insufficient to address these emerging issues. This paper, as a conceptual and theoretical study, adopts an ecological perspective to explore sustainable pathways for reform. Drawing upon ecological theories, it analyzes the ecological connotations of university English teaching and proposes a five-dimensional practice framework encompassing teacher development, textbook system construction, curriculum design, classroom ecology, and learning evaluation. The findings suggest that integrating these dimensions into a holistic ecological mechanism can enhance students’ English competence, promote cross-cultural literacy, and support the high-quality and sustainable development of university English instruction
Sustainable Marketing Approach to Enhance Tourist Revisit Intention: A Conceptual Study of Island Tourism
No full textTourism destinations today face growing pressure to balance economic development with sustainability, making it essential for marketing strategies to not only attract travelers but also encourage responsible behavior and return visits. This conceptual paper investigates what influences tourists' intentions to revisit Lombok Island, Indonesia, through the lens of sustainable marketing. The proposed model is based on three key destination attributes attractiveness, accessibility, and amenities and examines how these elements affect tourist happiness, satisfaction, and previous experiences, all of which shape the likelihood of a return visit. The framework posits that a fulfilling travel experience extends beyond the trip itself, contributing to sustainable tourism when visitors are inspired to come back and recommend the location, thereby cutting down on the cost of acquiring new tourists.
Tourist happiness encompasses the emotional impact derived from natural beauty, cultural richness, and genuine experiences, whereas satisfaction is based on a rational assessment of service quality and facilities. Previous experiences serve as a built-up memory that fosters lasting loyalty to the destination. In the context of sustainable marketing, the model emphasizes the importance for destination managers and policymakers to invest in eco-friendly infrastructure, community-driven services, and culturally respectful promotions to build long-term value. By aligning tourist well-being with sustainability goals, this study argues that the intention to revisit is both a behavioral result and a key measure of marketing success.
In conclusion, the framework stresses that sustainable marketing in island tourism involves more than just drawing visitors it requires aligning their satisfaction with efforts to protect cultural heritage and natural environments, ensuring that Lombok remains a strong and sustainable destination
Study of RF and SVM Machine Learning Model to Predict Heart Disease
No full textHeart disease remains one of the leading causes of mortality worldwide, making early and accurate diagnosis essential for preventing severe complications. Recent advancements in machine learning have enabled clinicians to analyze complex patient data more effectively than traditional diagnostic approaches. This study evaluates two widely used machine learning models Random Forest (RF) and Support Vector Machine (SVM) for predicting heart disease using a curated clinical dataset. RF achieved an accuracy of 100%, while SVM achieved 98.87%. The study also integrates SHAP and LIME interpretability tools to provide transparent, clinically meaningful explanations. This combined focus on accuracy and explainability distinguishes the study from existing literature
A Novel Approach to Blockchain for Financial Transactions in Rural Sectors
No full textRural communities often remain excluded from formal financial systems due to weak infrastructure, limited digital access, and high dependence on intermediaries. Traditional blockchain systems, while efficient in urban and global contexts, are not directly suited to these conditions because of their high transaction costs and reliance on constant internet connectivity. This paper proposes a novel blockchain-based framework designed specifically for rural economies. The approach emphasizes affordability, inclusivity, and offline functionality, while ensuring security and scalability. Transactions are made accessible through USSD/SMS on feature phones, verified with community-supported digital credentials, and processed on lightweight permissioned blockchains using local edge nodes. Pilot simulation results highlight substantial benefits: transaction times reduced from days to seconds, costs lowered by over 60%, and greater community trust through transparent local governance. This study offers a sustainable pathway for extending financial inclusion to underserved rural populations through an offline first, community-governed blockchain system
Quantum-Resistant Cryptography in Cyber Security
No full textThe emergence of quantum computing presents both significant opportunities and critical challenges for modern cybersecurity. While quantum systems promise advances in science, engineering, and artificial intelligence, they also pose a substantial threat to classical cryptographic techniques such as RSA, ECC, and other widely deployed public-key mechanisms. Quantum algorithms including Shor’s and Grover’s are expected to compromise these systems, placing sensitive data, financial infrastructures, and national security at risk. This paper examines the growing field of quantum-resistant, or post-quantum, cryptography with a focus on identifying constructions capable of withstanding quantum attacks. It provides a systematic overview of major post-quantum cryptographic families, including lattice-based, hash-based, code-based, multivariate, and isogeny-related schemes, and evaluates their current security assumptions, practical efficiency, and readiness for real-world deployment. Beyond technical considerations, the paper highlights the organizational and workforce implications of transitioning to quantum-safe systems, emphasizing the need for coordinated global standards and sustained cybersecurity training. This study underscores that building a quantum-secure digital future requires not only adopting resilient algorithms but also strengthening collaborative, adaptive, and proactive security practices
Digital Pedagogy: An Analysis of the Digital Competency Level of Key Stage 2 Teachers and Learners in Selected Philippine Public Elementary Schools
No full textIn the context of the Fourth Industrial Revolution (IR 4.0), digital competency is essential for effective teaching and learning. However, many public elementary schools face challenges such as inadequate infrastructure, limited teacher training, and disparities in digital literacy. These are further complicated by unclear policies and ethical concerns around access and equity. This study addresses a research gap by examining how demographic factors influence digital competencies and exploring the relationship between the digital skills of Key Stage 2 teachers and learners. This study used a descriptive-correlational quantitative design. Data were collected through a standardized questionnaire from “The Digital Competence Questionnaire” and analyzed using descriptive and inferential statistics, Spearman’s Rho, Mann-Whitney U, and Kruskal-Wallis tests. Findings revealed that both groups had moderate digital competencies, with key stage 2 learners slightly outperforming teachers in information processing and safety. A very weak, non-significant correlation was found between key stage 2 teachers and learners’ digital competencies. Among teachers, digital skills varied significantly by gender and age, whereas learners’ competencies were influenced by technology access but not by gender. These results highlight the need for targeted teacher training, equitable access to digital tools, and policy reforms that promote digital citizenship. The study offers practical insights for fostering an inclusive, humanistic digital learning environment. Specifically, the study recommends to enhance Continuous Professional Development (CPD) for Teachers, integrate digital literacy into the curriculum, establish Mentorship and Peer Learning Programs, adopt gender-inclusive training strategies, implement regular digital competency assessment
Towards a Sustainable Future: Developing a Framework for Social Business Performance in the Context of Environmental Orientation and Government Support
No full textIn recent years, there has been a significant increase in the attention of academia and industry on different social issues, sustainability, and green practices. Most importantly, both government and private sectors are becoming more concerned to create a sustainable business environment that will not only focus on profit but also act responsibly for the development of society and the environment. And the situation is almost the same in the developed, developing, and underdeveloped countries. As business plays a great role in our everyday life, this paper focuses on the development of Social Business Performance. And to do that, government support is considered in this paper as one of the key sources to influence the social business and the private sector’s environmental concern. This study also included the environmental orientation to see the influences on the relations. This paper's primary goal may be divided into two groups. One provides a conceptual framework for this field of study, while the other is a guideline for potential future studies. Insights and recommendations from earlier studies are presented in this report for the government, business firms, policy makers, and stakeholders. The important overviews and reviews on this topic are also included in the study. Additionally, as the number of studies on social business and other relevant issues is limited, this paper argues that researchers should focus on the development of social business performance
Leveraging Generative AI for Sustainable Development: Opportunities, Risks and Ethical Pathways
No full textGenerative Artificial Intelligence (GenAI) is emerging as a transformative technology with great potential to advance the United Nations Sustainable Development Goals (SDGs). This paper presents a systematic review of recent research to examine how GenAI contributes to sustainable development in sectors such as education, healthcare, and governance. The study highlights the major opportunities offered by GenAI, including improved productivity, equitable access to information, and data-driven decision making that supports long-term sustainability. At the same time, it identifies critical risks such as high energy consumption, environmental impact, and ethical challenges related to fairness, transparency, and accountability. The review follows the PSALSAR framework to collect, evaluate, and synthesize existing evidence on the benefits and risks of GenAI. It also assesses emerging approaches to responsible AI governance that aim to create an inclusive and sustainable digital ecosystem. By balancing innovation with ethical responsibility, this study provides policy and research recommendations to guide the sustainable and equitable use of generative AI for global development
Automated Sentiment and Emotion Analysis of Client Feedback
No full textThis research contributes to automate the analysis of customer feedback with the help of sophisticated machine learning methods like tokenization, sentiment analysis, emotion recognition, and text classification to gain significant insights from answers. Instead of classifying feedback into rigid categories such as compliments or complaints, the system seeks to recognize repeating patterns and emotional tints to provide thorough analysis at the submission stage. It produces graphical reports that facilitate swift data-based decision-making, minimizing manual work and maximizing operational effectiveness. Automated processes enable the organization to respond swiftly to feedback, resulting in ongoing real-time improvement and improved customer satisfaction. The system is designed to scale efficiently with increasing user data, ensuring consistent performance. It also enhances transparency by offering clear visual insights that help stakeholders understand customer needs better. Ultimately, it empowers organizations to refine their services and strengthen customer relationships