Volume 13 | Issue 10

 Abstract

This study explores the nature and extent of occupational stress among textile workers in various organizations across the Karur District of Tamil Nadu. It examines whether the stress experienced by workers is actual or perceived and identifies key contributing factors. The primary stressors analyzed include role overload, role insufficiency, role ambiguity, responsibility, and the physical work environment. The study also reviews the strategies adopted by organizations to manage work-related stress, highlighting practical approaches used to support employee well-being. A sample of 252 textile workers was selected for data collection and analysis. The findings provide insights into the real challenges faced by workers and the effectiveness of current stress management practices. This research serves as a useful reference for organizational leaders and policymakers to develop informed decisions and policies aimed at reducing workplace stress and improving overall employee satisfaction and productivity in the textile industry.

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Occupational Stress, Work life balance, Managing Stress level, Work-related Stress.

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India-Nepal Relations: Political and Economic Dimensions a comprehensive analysis

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India-Nepal Relations: Political and Economic Dimensions a comprehensive analysis

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This paper on Bapsi Sidhwa's Ice-Candy-Man, Vidiyadhar Surajprasad Naipaul's A Bend in the River and Jean Rhys's Wide Sargasso Sea would undertake a comprehensive study on the three marginalized voices and problematizes the concept of homeland. Although the characters and situations are entirely different from each other, they share the same common problem-. They belong to the minorities and are not adequately represented. Lenny, Salim and Antoinette underscore how the voices of minorities are often heard but not paid a heed to in a crowd of Eurocentric and local voices. Lenny, a young Parsi girl with a limp, lost her closest companion Ayah and felt a revolt bubbling inside her but the Parsi society didn't let her express it, in fear that it would cause a rift between them and the other community. Their family observed the horrific violent acts during the ethnic warfare between two major communities in undivided India. The Bend in the River is the story of Salim, who being a Indian Muslim in Africa always felt a nag behind him as he could never fit into either category, a struggle to survival marked his existence. In Wide Sargasso Sea, Antoinette lost her mental sanity, never really accepted by the people she considered as her own, lost her mother and her autonomy and finally got betrayed by her white husband who even fetishized her beauty and never trusted her black companions. Her voice was curbed due to imprisonment and because of the English narrative style in the preceding novel which branded her as the madwoman in the attic. However there always lies a sense of solidarity binding these communities together in the form of strategic essentialism. The problems faced exclusively by the minority community and a struggle to thrive is often neglected in narratives. Problems of identity crisis have always affected minorities no matter the place they settled or the time period they concerned themselves with.

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Bapsi Sidhwa, Ice candy Man, Vidiadhar Surajprasad Naipaul, Jean Rhys, Wide Sargasso Sea , violence, minority, lost voices, struggle, identity.

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The exponential rise of social media and digital news platforms has accelerated the dissemination of information, which often includes a substantial portion of misleading or fabricated content, widely known as fake news. This study proposes an integrated framework for misinformation utilizing machine learning methodologies. Through the application of (NLP) techniques and supervised learning models, the system efficiently classifies news articles as authentic or deceptive with notable accuracy. To extract semantic and syntactic characteristics from textual data, approaches such as (TF-IDF) and word embeddings are incorporated. The research further analyzes the performance of diverse machine algorithms, including logistic regression, random forest, and (LSTM) networks, on benchmark datasets. Findings indicate that learning approaches, particularly LSTM, surpass conventional models in capturing subtle patterns linked with fake news. Overall, this work emphasizes the importance of AI-based strategies in addressing misinformation and fostering trustworthy information sharing in the digital landscape.

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Fake news identification, machine learning algorithms, natural language processing (NLP), textual data classification, deep learning approaches, and online news authentication.

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The Nayahat Pan Market, a traditional trading center located in Nayahat, Puri district of Odisha, which plays a significant role in the socio-economic life of local vendors, farmers, and consumers. Panholds a unique cultural and commercial importance in Odisha, being widely consumed and used in social, religious, and ceremonial practices. Despite its significance, the marketing of pan continues to remain largely unorganized, facing several challenges such as price fluctuation, lack of proper storage facilities, credit dependency, and transport delays.The study was conducted using both primary and secondary data sources. Primary data were collected from 140 respondents including wholesalers, retailers, small sellers, and transporters through questionnaires, interviews, and field observations. Secondary information was obtained from government records, published reports, and previous research studies. A descriptive research design with random sampling was used to ensure representation of all categories of market participants. Data were analysed with the help of tables, percentages, charts, and thematic grouping.The key findings reveal that while wholesalers record the highest per-vendor sales, retailers constitute the largest share of the market, contributing nearly half of the estimated daily turnover. Price fluctuation and credit issues were reported as the most pressing challenges by vendors, followed by storage and transport problems. The estimated daily market turnover was found to be approximately INR 2.6 lakh, with retailers contributing the major portion due to their larger numbers.The study concludes that the Nayahat Pan Market is a vital hub for local trade, but its efficiency is reduced due to infrastructural and financial constraints. Interventions such as improved storage methods, collective marketing, better price information systems, and accessible micro-credit facilities can significantly enhance the sustainability and profitability of the market. The findings are useful for policymakers, local authorities, and stakeholders seeking to strengthen traditional markets and improve livelihoods in rural Odisha.

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Nayahat Pan Market, Betel Leaf Trade, Local Market Structure, Market Challenges, Price Fluctuation, Unorganized Market Sector, Socio-Economic Study, Supply Chain Analysis.

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This study highlights the importance of assistive technology (AT) in special education to improve learning outcomes for students with disabilities, while also acknowledging the critical role that teachers play in effectively integrating these technologies. This study aimed to analyze special education teachers' perceptions of their knowledge and competence in using assistive technology, assess their interest in professional training, and determine their preferred methods of learning about assistive technology. This study adopted a quantitative design, using an online survey to collect data from special education teachers in the Jaipur district, and analyzed the data through descriptive statistics using SPSS. The study found that teachers had a basic understanding and moderate competence in assistive technology, had a strong interest in further professional development, especially in communication-related tools, and preferred workshops, conferences, and self-directed learning. This study highlights the need for targeted, hands-on professional development and a comprehensive assistive technology strategy to improve teachers' practical skills and use of assistive technology, especially during the summer vacation. These findings suggest that improved professional development and strategic support can significantly improve teachers' effectiveness in using AT, leading to better educational outcomes for students with disabilities, and call for future research to explore the impact of specific training interventions on AT use.

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Keywords: Special Education, Teachers Competence, Teachers Perceptions, Professional Development, Assistive Technology

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Abstract The study sought to examine and analyse the factors that motivate student's decision to enrol in Visual Arts programmes in line with their career path in tertiary educational institutions in Ghana. The main objective of this study was to explore those factors that stand out very crucial in influencing and determining students' decision in the choice of Visual Arts programmes. The study is purely Qualitative in nature with descriptive analysis approach. To ascertain the factors that motivates students' decision to choose visual arts programmes, this study employed focus group discussion together with qualitative and quantitative data from 120 students enrolled in visual arts programmes in Kwame Nkrumah University of Science and Technology (KNUST) and Takoradi Technical University (TTU). The findings revealed that factors that motivate students to choose Visual Arts were based on opportunity of self-employment, carrier choices, passion for the programme, having the needed skills and inspiration from parents and peers. The findings from this study will help teachers and educators have a greater sensitivity to, and a better insight into the programmes.

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Keywords: visual arts, motivation, enrolment decisions

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Ladder drills are instrumental in improving foot speed, agility, coordination, and overall quickness, which are crucial for the rapid directional changes inherent in Kho-Kho. Plyometric exercises, characterized by explosive movements, augment muscular power and speed-strength, enabling players to execute swift offensive and defensive maneuvers. In order to assess the real facts the investigator made an attempt to examine the impact of combined ladder and plyometric training on physiological and skill performance variables of twenty Kho-Kho players were selected from Coimbatore district in Tamil Nadu state. They were age ranged between 14 to 17 years. Treatment group I underwent combined ladder with plyometric, group II acted as control group. All forty subjects were inducted for pre and posttest on physiological and skill performance variables are (vital capacity and cover of attack). The ladder with plyometric training programme was given to the experimental group for 3 days per week (Monday, Wednesday and Friday) for the period of eight weeks. The control group was not given any sort of training except their routine work. The physiological variables vital capacity (wet spirometer test) cover of attack was assessed by Khelo India Fitness Test were assessed before and after training period. The result from 't' test and inferred that 8 weeks ladder with plyometric training treatment produced identical changes over physiological and skill performance variables of kho kho players. Further, the findings confirmed the ladder with plyometric training is suitable protocol to bring out the desirable changes over vital capacity and cover of attack variables of kho kho players.

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Ladder, Plyometric Training, Physiological Variables, Skill Performance Variables, Vital Capacity, Cover of Attack and Kho Kho Players.

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Alzheimer's disease is having a growing impact on the global senior population, with the World Health Organization reporting that over 55 million people are affected by dementia of which 60 to 70 percent are Alzheimer's cases. In India alone, more than 4 million people live with the disease, projected to double by the year 2030. With one new case reported every three seconds and global care expenses exceeding $1.3 trillion annually, there is an urgent demand for scalable and efficient interventions. Alzheimer's disease (AD) is a gradual neurodegenerative condition marked by memory impairment, cognitive deterioration, and alterations in behavior. Timely and precise diagnosis is essential for patient management, treatment strategy, and involvement in research. At present, diagnosing Alzheimer's depends on a mix of clinical assessment, neuropsychological examinations, and neuroimaging methods. Conventional diagnostic methods involve thorough patient history, cognitive evaluations like the Mini-Mental State Examination (MMSE) or Montreal Cognitive Assessment (MoCA), and a neurological assessment. significant family history or symptoms that appear early. A multidisciplinary strategy that integrates clinical, biochemical, and imaging information continues to be essential for effectively diagnosing Alzheimer's disease. This game features a variety of cognitive challenges, including quizzes and puzzles, designed to enhance focus, memory recall, and problem-solving skills in a simple and interactive way. Additionally, the platform incorporates EEG (Electroencephalogram) technology to monitor the brain's electrical activity during gameplay. This enables the system to deliver immediate cognitive feedback and automatically adjust the difficulty level based on the user's mental responsiveness. By merging brain-training tasks with EEG-based monitoring, our solution offers a comprehensive tool for cognitive rehabilitation and progress evaluation. The aim is to foster greater mental engagement, delay further cognitive decline, and give caregivers and healthcare providers valuable data on the patient's mental performance and development over time.

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Alzheimer's disease, Cognitive training, Brain games, Memory improvement, Progress monitoring, Mental health tracking.

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A worldwide issue, counterfeit medications have led to potentially fatal consequences, monetary losses for both manufacturers and consumers, and a decline in public confidence in the healthcare system. In developing countries, where the general public has easy access to these drugs, the problem is more serious. It is imperative that this issue be resolved right away and that measures be taken to restrict its availability and widespread use. Even though India has taken some proactive steps to combat the issue of inferior or dangerous medications in order to safeguard and advance public health, much more work needs to be done.

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Counterfeit Drugs, Indian Market, Pharmaceutical industry, Fake medications.

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This study aims to examine the reading strategies adopted by English as a Second Language (ESL) learner during three stages of the reading process -- pre-reading, while reading, and post reading. Specifically, the study aims to identify differences in the use of these strategies between high and low achievers. In this study, a total of 50 Higher secondary level ESL learners from a Grant-in-Aid school in Gujarat, India responded to questionnaires adapted from the Strategy of Reading Skills (SORS). The findings of the study indicate that high achievers tend to use metacognitive reading strategies more, while low achievers lean more towards bottom-up strategies. These findings suggest that encouraging the use of appropriate and effective reading strategies is essential to improve reading comprehension and academic performance. In addition, the study provides useful guidelines for teachers to help them develop different types of reading activities for high and low achievers.

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Reading Skill, Receptive Skills, Reading Strategies, Bottom-Up, Top-Down, Metacognitive Strategies

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Diasporic literature reflects the complex lives of people and communities caught between cultures. A key aspect of this literature is cultural exchange, where characters, stories, and languages interact across their homelands and host countries. Diasporic novels frequently dive into themes of identity, memory, gender, race, and everyday cultural practices, showcasing both the struggles and opportunities that arise from these cultural encounters. This paper explores cultural exchange in selected diasporic novels, including Jhumpa Lahiri's The Namesake, Salman Rushdie's Midnight's Children, Bharati Mukherjee's Jasmine, and Chimamanda Ngozi Adichie's Americanah. It uses theories from Stuart Hall, Homi Bhabha, Avtar Brah, and Edward Said to analyze how these texts depict hybridity, nostalgia, and identity negotiation. The study argues that diasporic literature not only chronicles migrant experiences but also examines the dynamic processes of cultural interaction, contributing to broader discussions on globalization, transnationalism, and belonging.

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Key Words: Diaspora, migrants, globalization, transnationalism

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The Donabedian Model of healthcare quality, comprising the triad of Structure, Process, and Outcome, offers a systematic and enduring framework for evaluating and improving healthcare delivery. When applied to Occupational Health Services (OHS), it provides a structured means to assess the effectiveness of workplace health systems in promoting worker safety, preventing disease, and ensuring well-being. This paper explores the adaptation of Donabedian's framework to occupational health auditing, emphasizing its relevance for industrial and organizational health management. The structure component assesses the adequacy of resources, policies, and organizational arrangements that form the foundation of occupational health systems. The process dimension evaluates the implementation of preventive and curative actions--such as health surveillance, risk assessment, and safety training--ensuring that standards and regulatory obligations are met. The outcome component focuses on measurable results, including reductions in occupational injuries, disease incidence, absenteeism, and improvements in worker satisfaction and productivity. The article further examines the advantages of using this model, its comprehensiveness, simplicity, and compatibility with modern management systems like ISO 45001 while also recognizing limitations such as attribution bias and static design. Despite these challenges, the Donabedian Model remains an invaluable tool for promoting quality assurance, continuous improvement, and ethical responsibility within occupational health. Its integration into health audits encourages organizations to go beyond compliance toward a culture of care, accountability, and sustained worker well-being.

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Donabedian Model, Occupational Health, Health Audit, Quality Assessment, Workplace Safety

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This study investigates the influence of media framing on public support for international conflicts, emphasizing the roles of framing techniques, digital amplification, and government-controlled media. Using qualitative secondary data from 2019-2025, key themes were identified, including episodic versus thematic framing, nation-focused versus leader-focused narratives, and algorithmic and visual influences. Comparative analyses reveal that regional and ideological contexts shape divergent public perceptions. Findings highlight the importance of media literacy, diversified media consumption, and critical engagement to navigate biased narratives. Recommendations include cross-regional research, monitoring digital platforms, policy awareness, and longitudinal studies to better understand framing's sustained impact on public opinion.

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: Media Framing, Public Support for War, Digital Media, Government-Controlled Media, Comparative Media Analy

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The project presents a web-based application for the early prediction of Autism Spectrum Disorder (ASD) using both facial images and behavioral questionnaire data.The proposed system provides a fast, accessible screening tool by leveraging multimodal inputs. Facial images are analyzed using Convolutional Neural Networks (CNN) to detect autism-related facial patterns, while behavioral responses are processed using classical machine learning models such as Logistic Regression, Random Forest, SVM, and XGBoost. The application, built with Flask and Streamlit, allows users to upload images or enter questionnaire responses for real-time predictions, providing risk classification along with confidence scores. By integrating image-based and data-based predictions, the system enhances the accuracy and reliability of autism risk screening, supporting early awareness for parents, educators, and healthcare professionals. The model is trained on publicly available ASD datasets containing facial images and behavioral attributes, ensuring both diversity and robustness in prediction. Data preprocessing techniques such as normalization, augmentation, and feature scaling are applied to improve generalization and model performance. The platform's user-friendly interface ensures accessibility for non-technical users, making it suitable for preliminary home-based assessments. Moreover, the modular design of the system allows for easy updates and integration of additional data sources, including speech or text-based behavioral cues, in future versions.

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Autism Spectrum Disorder (ASD), Early Detection, Convolutional Neural Network (CNN), Machine Learning, Logistic Regression, Random Forest, Support Vector Machine (SVM), XGBoost, Multimodal Data, Facial Image Analysis, Behavioral Questionnaire, Flask, Streamlit, Web-based Application, Data Preprocessing, Feature Scaling, Image Augmentation, Real-time Prediction, Risk Classification, Healthcare Technology, Assistive Screening Tool.

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Painting, sculpture, and various other art forms have existed in Tamil Nadu for many centuries. After the establishment of British rule, specialized art schools were founded in several parts of India to provide formal training in the arts. Among them, the Madras School of Arts played a particularly significant role -- it was, in fact, the first art school in India. The British who ruled Chennai established this school both to meet their own needs and because they were deeply impressed by Tamil Nadu's traditional arts. They engaged local students to produce various artworks, which were used by the British themselves and also exported to many other countries. Many of the artworks created in this school are still displayed in renowned museums around the world today. Seeing these works reveals that Tamil Nadu was home to many exceptional artists, skilled in diverse forms of art. Furthermore, the British introduced their own artistic practices and techniques into this school's curriculum. This study examines the circumstances and developments that arose from the curriculum implemented between 1850 and 1950, during which these cross-cultural exchanges and artistic transformations took place

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Keywords: Madras School of Arts, Syllabus, Photography, Arts and Crafts, Alexander Hunter, Fine Art

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Introduction: Type 2 Diabetes Mellitus is a growing public health concern in India that requires consistent and multifaceted self-care practices influenced by various demographic and psychosocial factors to prevent the complications. Aim: To assess the self-care practices and identify the influencing factors among patients with type 2 diabetes mellitus. Objectives: 1) To assess the self-care practices on management of diabetes mellitus among patients with type 2 diabetes mellitus.2) To assess the influencing factors on management of diabetes mellitus among patients with type 2 diabetes mellitus. 3) To find out the relationship between self-care practices and influencing factors on management of diabetes mellitus among patients with type 2 diabetes mellitus. 4) To find out the association between selected demographic variables on management of diabetes mellitus among patients with type 2 diabetes mellitus and their self-care practices. 5) To find out the association between selected demographic variables on management of diabetes mellitus among patients with type 2 diabetes mellitus and their influencing factors. Materials and methods: This descriptive study included 100 patients with type 2 diabetes mellitus attending the outpatient department of a hospital at Kanyakumari District. Participants were selected through convenient sampling technique. Data collection was done using a structured questionnaire that included demographic and clinical variables, a 20-item self-care practice scale for self -care practices (5-point Likert), and a 40-item checklist on influencing factors on management of diabetes mellitus. Findings: Among the participants, 45% demonstrated good self-care practices, 38% had average adherence, and 17% reported poor self-care practices on management of diabetes mellitus. Regarding influencing factors 70% of participants reported highly favourable influencing factors for self-care and 30% exhibited highly unfavourable factors on management of diabetes mellitus. Conclusion: The findings highlighted the need for targeted educational interventions, social support systems, and tailored diabetes management programs to enhance self-care behaviors and glycaemic outcomes.

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patients with type 2 diabetes mellitus, self-care practices, influencing factors.

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Numerous technologies and platforms, including AI, which enhance teaching and learning pedagogy, abound. However, their effective adoption and implementation in developing African countries such as Nigeria depend on teachers' sufficient technological skills and competency, particularly in the use of AI tools. This study set out to investigate the technological skills and competencies of higher education teachers and their implications for pedagogical innovation. To realize this objective, the study adopted a scoping literature review strategy, using a systematic keyword-based search of databases, specifically Google Scholar, Scopus, and Web of Science to retrieve 163 recent studies on this subject from diverse literature. After applying inclusion and exclusion criteria, 21 articles met the selection criteria and were included in the study. Accordingly, the selected literature was coded and analyzed in line with the study's conceptual framework. Overall, it was found that technology skills, competency, and knowledge of the appropriate AI tool required to effect pedagogical transformation by teachers are insufficient.

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Pedagogy, literacy, Artificial intelligence, expert system, transformation, teacher

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National Education Policy

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This review explores the current scientific advancements and future potential of 3D bioprinting in the pharmaceutical sector. Conducted in accordance with PRISMA guidelines, this review draws data from PubMed, Scopus, Google Scholar, and ScienceDirect using keywords such as 3D bioprinting, drug development, personalized medicine, pharmaceutical applications, and drug testing. The paper highlights the diverse roles of bioprinting in pharmaceuticals, with a particular emphasis on drug discovery, personalized medicine, and most notably, drug screening and testing. Recent technological advancements have enabled the creation of patient-specific drug testing platforms and targeted delivery systems. Notably, bioprinting allows the precise placement of cells and biomaterials to develop miniaturized organ models (organoids) and Organ-on-a-Chip systems, which may reduce reliance on animal testing. This approach enhances prediction accuracy in early-stage drug trials and accelerates the path to market. Despite its transformative promise, 3D bioprinting still faces critical challenges, including issues related to vascularization, material limitations, standardization, and scalability. Nonetheless, the technology continues to evolve, with significant implications for tissue engineering, drug delivery systems, and regenerative medicine. This review provides an overview of current applications, critical limitations, and future prospects of 3D bioprinting in pharmaceutical research and development.

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Keywords: 3D bioprinting, PRISMA guidelines, Organ-on-a-Chip systems, Engineering.

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