Volume 13 | Issue 5 |

 Abstract

The study examines the translation and adaptation of Shakespeare's works into many Indian languages, highlighting their cultural significance and the difficulties encountered in maintaining the integrity of the original texts. Shakespeare's impact on world literature, especially in India, is profound since his plays have been translated into several Indian languages including Hindi, Bengali, Marathi, Tamil, and Urdu. This research seeks to investigate the translation process of Shakespeare's works, focusing on the linguistic and cultural changes that enable the plays to resonate with Indian audiences while preserving their fundamental ideas. The studies aim encompasses examine the stylistic and grammatical issues in these translations, analyze the function of Shakespeare's plays in Indian education, and assess their influence on academic curricula and literary studies. The adopted technique utilizing secondary data derived from existing translations, literary evaluations, academic publications, and case studies. The findings indicate that translations encounter several problems, especially in articulating idiomatic terms, cultural allusions, and emotional subtleties, which are frequently adapted to align with the local context. Notwithstanding these limitations, the adaptations have effectively rendered Shakespeare's works more accessible and pertinent to Indian audiences. Moreover, Shakespeare's works remain integral to the Indian education system, enriching the study of English literature and promoting cross-cultural discourse. It underscores the inventive adaptations of Shakespeare's plays in Indian languages, illustrating the worldwide appeal of his works and the variety of India's cultural milieu.

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 Keywords

Indian literature, Language, Shakespeare, Education

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This study critically examines the landscape of e-learning and digital literacy in Tamil Nadu, focusing on systemic challenges and emergent opportunities. The analysis addresses disparities in digital infrastructure, pedagogical readiness, and the socio-economic determinants influencing educational equity. Guided by Diffusion of Innovation Theory (Rogers, 2003), the research investigates patterns of digital learning tool adoption across rural and urban settings. A mixed-methods approach was adopted, combining quantitative survey data with qualitative insights from focus group discussions conducted across multiple districts. The findings highlight a significant digital divide shaped by regional and economic disparities, while also identifying avenues for digital inclusion through targeted interventions. The study offers strategic recommendations for educators, policymakers, and EdTech stakeholders to enhance the equity and effectiveness of digital education in Tamil Nadu

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 Keywords

Digital Literacy, E-Learning, Tamil Nadu, Digital Divide, Innovation Adoption, Educational Technology, Diffusion of Innovation Theory

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Reflection of Material culture in Homen Borgohain’s Novel 'Pitaputra'

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Reflection of Material culture in Homen Borgohain’s Novel 'Pitaputra'

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This study delves into the historical origins, social hierarchy, cultural traditions, and modern transformations of the Girasia tribe, predominantly residing in the southern Aravalli region of Rajasthan. With a lineage tracing back to a fusion of Rajput and Bhil ancestries, the Girasia community has preserved distinctive cultural practices, including clan-based social structures, traditional panchayat systems, animistic religious beliefs, unique art forms, and symbolic tattooing. The research further examines the tribe's adaptation to contemporary influences such as the Panchayati Raj system, educational advancements, and the gradual erosion of caste-based distinctions. Employing a multidisciplinary approach encompassing history, anthropology, and sociology, this paper highlights the resilience of the Girasia tribe in maintaining their cultural identity amidst evolving socio-political landscapes.

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 Keywords

Girasia Tribe, Southern Aravalli, Tribal Culture, Rajasthan Tribes, Panchayat System, Tribal Identity, Rajput-Bhil Ancestry, Animism, Tattooing, Indigenous Governance

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Creative Commons Attribution 4.0 and The Open Definition

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One of the biggest risk factors that has been identified as influencing the frequency and severity of coronary heart disease is hyperlipidemia. The main causes of death are hyperlipidemia, atherosclerosis, coronary heart disease, and stroke. Elevations in low density lipoprotein and serum total cholesterol have been identified as the main risk factors for cardiovascular disease. A disorder known as hyperlipidemia occurs when the blood contains excessively high amounts of lipids, or fatty molecules. Drugs that lower cholesterol are often used as preventative measures to stop atherosclerosis-related problems. The most prevalent preventable factor contributing to atherosclerotic cardiovascular disease is hyperlipidemia. The idea that low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol are inversely correlated with the onset of a major adverse cardiovascular event is a result of our growing understanding of controlling hyperlipidemia. Excess lipid, or excess body fat, is a defining feature of atherosclerosis, a chronic, complicated, multifactorial, and morbid disease that negatively affects health. The prevalence of hyperlipidemia has significantly increased in the last few years, making it a global health concern. The etiology of hyperlipidemia is complicated and includes interactions between heredity, the environment, and hormones. The development of atherosclerotic plaques is the primary cause of hyperlipidemia. The various problems linked to hyperlipidemia are obesity, hypertriglyceridemia, hypertension, type-2 diabetes mellitus, hypothyroidism, fatty liver disease, osteoarthritis, respiratory problems, stroke, cancer, dementia, depression, gynaecologic problems, social-psychological problems, chronic kidney disease etc. There are various approaches for the management and treatment of hyperlipidemia, that is lifestyle modifications, anti-hyperlipidemia medicines, anti- P selectin therapy, Angiopoietin Like Targeting Agents and photodynamic therapy. Lifestyle modification is still the backbone of managing obesity. Anti-hyperlipidemic medicines are used to reduce cholesterol levels by lifestyle modifications.

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 Keywords

Hyperlipidemia, Thrombosis, Lipid indices, Castelli index, Theranostics, Atherosclerotic plaques.

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Lilium candidum, commonly referred to as the Madonna lily, is a perennial bulbous plant from the Liliaceae family, indigenous to the Mediterranean basin. Traditionally utilized in folk remedies for a variety of health disorders, recent pharmacological investigations suggest its potential as an antidiabetic agent. The present study evaluates the pharmacodynamic properties of L. candidum bulb extract with a particular focus on its impact on glucose metabolism, antioxidant capacity, and antidiabetic efficacy. These findings underscore the plant's therapeutic potential in the context of diabetes mellitus.

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Lilium candidum,diabetes mellitus,antioxidant property,anti inflammatory property.

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores how to incorporate smart home automation features like occupancy sensors, HVAC zoning, smart lighting, and energy monitoring dashboards into residential architecture to improve energy efficiency, lower power usage, and advance sustainability without sacrificing occupant comfort or usability. With rising environmental concerns and worldwide energy demands, smart home technologies provide a promising way to live a more sustainable lifestyle. In addition to evaluating usability, adoption hurdles, and user happiness, the research attempts to assess design techniques and technology that promote energy-efficient living. A Google Form survey was used to gather primary data from experts working in interior design and architecture. Preferred smart home technologies, adoption reasons, preferred control methods, and perceived difficulties were the main objectives of the survey. According to the results, people strongly prefer systems that are mostly handled by voice assistants or mobile apps, such as smart lighting, integrated energy dashboards, and smart thermostats. Convenience of automation, sustainability objectives, and energy savings were the main drivers for the use of these technologies. However, it was typical to claim obstacles including technical complexity, lack of client awareness, and high initial installation costs.

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 Keywords

Adoption barriers, architecture, energy efficiency, occupant comfort, smart home automation, sustainability, user satisfaction, and voice-assisted control.

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Creative Commons Attribution 4.0 and The Open Definition

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Skin melanin levels play a crucial role in dermatological health, influencing skin tone, UV protection, and medical conditions like hyperpigmentation. This project presents a deep learning-based system for predicting skin melanin levels and recommending personalized treatments, including medicines, food, and lifestyle changes. The model is trained using a custom dataset containing skin tone images categorized by melanin concentration. A convolutional neural network (CNN) is implemented in PyTorch to classify skin types (dark, mid-dark, mid-light, and light) and predict melanin levels. The model is trained using a combination of cross- entropy and mean squared error loss functions to optimize classification and regression performance. A Flask-based web application is developed to allow users to upload skin images for real-time analysis. Upon prediction, the system provides personalized recommendations using a database of medicines, natural supplements, and melanin- boosting activities. The model and application aim to assist dermatologists, skincare experts, and individuals in monitoring skin health and making informed decisions for melanin regulation. The system's effectiveness is evaluated through accuracy metrics, classification reports, and real-world testing. By integrating AI-driven skin analysis with medical recommendations, this project advances personalized dermatological care.

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 Keywords

Skin Melanin Prediction, Deep Learning, Convolutional Neural Network (CNN), Skin Tone Classification, PyTorch, Personalized Dermatological Care, Hyperpigmentation Detection, AI in Dermatology, Real-Time Skin Analysis, Skin Health Monitoring, Medical Image Processing, Skin Type Detection, Melanin Regulation, Custom Skin Dataset, AI-Driven Skincare, Cross-Entropy Loss, Mean Squared Error (MSE), Flask Web Application, Image-Based Diagnosis, Dermatology Recommender System

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Creative Commons Attribution 4.0 and The Open Definition

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This study compares the perspectives of general residents and interior design students to examine the emotional reactions that various interior colours elicit in residential settings. A structured Google Form questionnaire was used to gather both qualitative input (subjective emotional interpretations) and quantitative data (mood scales and preference ratings) as part of a mixed-methods approach. Two other groups of participants were regular citizens without professional design backgrounds and interior design students with specialised training in colour theory and spatial design. The objective was to examine how expertise affects the emotional perception of colour in various home spaces, including the living room, bedroom, bathroom, and workstation. The results show both similarities and differences in how people see colour. When combined with appropriate lighting and texture, white was perceived as uplifting by all groups, however, intensely saturated colours like orange and red were associated with cognitive tiredness and overstimulation. Many people believed that pastel colours were soothing and enlarged the sense of space, particularly in stressful situations. It is noteworthy that students studying interior design had a more strategic and nuanced awareness of the psychological effects of colour, consistently matching their answers to accepted design principles. General inhabitants, on the other hand, displayed more subjective and diverse views, frequently impacted by emotional associations and personal preferences.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aesthetic Perception, Colour Psychology, Cognitive Response, Emotional Reactions, Interior Design, Mood Regulation, Residential Environments, Spatial Awareness, colour theory.

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Creative Commons Attribution 4.0 and The Open Definition