Volume 14 | Issue 5

 Abstract

Background : Non-Alcoholic Fatty Liver Disease (NAFLD) is a progressive global health concern characterized by excessive fat accumulation in the liver. It may progress from simple steatosis to Non-Alcoholic Steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma. NAFLD is strongly associated with metabolic syndrome, including obesity, dyslipidemia, and insulin resistance, reflecting altered metabolism and unhealthy lifestyle patterns. Its increasing prevalence highlights the need for preventive and holistic management approaches. Objective : To conceptually evaluate the role of Ayurvedic principles in understanding and managing NAFLD through correction of metabolic imbalance. Conceptual Framework / Approach : NAFLD can be correlated with Santarpanajanya Vyadhi in Ayurveda, caused by over-nutrition, sedentary habits, and impaired Agni . Agni mandya leads to Ama formation and vitiation of Kapha-Pitta Dosha, resulting in fat accumulation in Yakrit. Management includes Shodhana, Shamana therapy, Pathya diet, Vyayama, Yoga, and Pranayama. Key Hypothesis / Insights : Ayurveda helps restore Agni , reduce, and maintain Dosha balance. Conclusion : Ayurvedic management supports liver health and helps prevent disease progression. Keywords : NAFLD, Metabolic Syndrome, Ama, Shodhana, Shamana.

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Keywords : NAFLD, Metabolic Syndrome, Ama, Shodhana, Shamana.

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Meetings are central to organizational workflows but frequently result in unstructured outcomes where key decisions and action items are lost. This paper presents the Context Meeting Synthesizer, an Agentic AI-based system that converts meeting transcripts into role-specific summaries, actionable tasks, and automated reminders. The system employs a multi-agent architecture consisting of a summarization agent, task extraction agent, Jira integration agent, and email reminder agent. Experimental evaluation demonstrates reduced manual effort, improved clarity, and enhanced task accountability. The approach highlights the potential of agent-based systems for transforming conversational data into structured, execution-ready outputs.

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Agentic AI, Meeting Summarization, Task Automation, Natural Language Processing, Multi-Agent Systems, Workflow Automation.

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Abstract The primary purpose of this research is to empirically determine the extent to which age and gender affect attitudes toward women among a representative student population. The study aims to bridge the gap in understanding between two pivotal life stages: middle adolescence (ages 14-15) and emerging adulthood (ages 24-25). By comparing school students with postgraduate (PG) students, the investigation seeks to identify whether increased educational attainment and life experience correlate with a shift toward more egalitarian gender-role attitudes. This is particularly salient in a society undergoing rapid modernization while simultaneously maintaining deeply rooted traditional values. The investigation was structured around a sample of 200 participants, bifurcated into two age-specific groups of 100 each. Each group maintained an equal gender distribution of 50 males and 50 females to ensure statistical parity for comparative analysis. The central research hypothesis posited that there would be a significant effect of both age and gender on attitudes toward women. The 25-item Attitude towards Women Scale (AWS) was administered, a tool designed to place individuals on a continuum ranging from traditional conservative to pro-feminist-egalitarian. The results of the ANOVA analysis confirmed the hypothesis with high statistical significance. For the effect of age, the analysis yielded F (1,196) = 24.214, p<.001, while gender emerged as an even more powerful predictor with F (1,196) = 121.41, p <.001. The findings revealed that females across both cohorts held significantly more egalitarian attitudes (M = 61.42, SD = 7.562) than males (M = 47.47, SD = 10.154). Furthermore, school students exhibited higher levels of egalitarian attitudes than postgraduate students, suggesting a complex relationship between age, education, and gender-role perceptions. These findings highlight the influence of developmental and gender-based factors in shaping attitudes toward women and underscore the need for targeted interventions to promote gender equality across different life stages.

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Background: Mixed germ cell tumors (MGCTs) of the testis are rare neoplasms comprising two or more germ cell tumor components. They represent approximately 32-54% of all testicular germ cell tumors, with yolk sac tumor (YST) and embryonal carcinoma (EC) being among the most common admixtures. Case Presentation: We report a 36-year-old male presenting with a six-month history of painless right testicular swelling. Serological workup including HIV, HBsAg, and HCV was negative, and all tumor markers (AFP, beta-hCG, LDH) were within normal limits. Right radical inguino-orchidectomy was performed. Gross examination revealed a firm testicular mass with whorled, nodular cut surface. Histopathological examination confirmed a mixed germ cell tumor comprising 77% yolk sac tumor and 23% embryonal carcinoma components. Conclusion: This case highlights the diagnostic importance of thorough gross and microscopic examination in testicular tumors, even in the setting of normal tumor markers. Accurate component-wise histopathological characterization is essential for appropriate staging and subsequent oncological management.

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Mixed germ cell tumor; Yolk sac tumor; Embryonal carcinoma; Testicular neoplasm; Inguino-orchidectomy; Histopathology

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Green synthesis of silver nanoparticles (AgNPs) using medicinal plants has become an important area of nanotechnology due to its eco-friendly, cost-effective, and non-toxic nature. Catharanthus roseus is a medicinal plant rich in alkaloids, flavonoids, terpenoids, and phenolic compounds that act as reducing and stabilizing agents during nanoparticle synthesis. In this research paper, silver nanoparticles were synthesized using Catharanthus roseus leaf extract and silver nitrate solution. The formation of nanoparticles was confirmed by a color change from pale yellow to brown due to surface plasmon resonance. Characterization techniques such as UV-Visible spectroscopy, SEM, XRD, and FTIR help determine particle size, morphology, and crystalline nature. The synthesized AgNPs exhibit strong antimicrobial, antioxidant, and biomedical applications. This study highlights the importance of green nanotechnology in developing sustainable and environmentally friendly nanoparticles. Green nanotechnology has emerged as an eco-friendly approach for synthesizing nanoparticles using plant extracts. In the present study, silver nanoparticles (AgNPs) were synthesized using Catharanthus roseus leaf extract and silver nitrate solution through a green synthesis method. The phytochemicals present in the plant extract act as reducing and stabilizing agents for nanoparticle formation. The synthesized nanoparticles were characterized using UV-Visible spectroscopy, SEM, XRD, and FTIR analysis. Due to their excellent antimicrobial properties, the AgNPs were incorporated into an antifungal cream formulation. The prepared cream was evaluated for pH, spreadability, stability, homogeneity, and antifungal activity against fungal strains such as Candida albicans and Aspergillus niger. The study concludes that green-synthesized silver nanoparticles from Catharanthus roseus can be effectively used in antifungal topical formulations. synthesis methods.

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Non Toxic, Anti-Microbial, Bio-Medical, Anti-Fungal.

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This paper examines the comparative analysis of Western and Indian philosophy, with a particular emphasis on the foundational ideas of Plato and Aristotle as they relate to significant philosophical concepts present in Indian philosophical traditions. The investigation explores the concepts of knowledge, morality, and existence as expressed by these ancient thinkers. Plato's idealism, defined by his Theory of Forms, presents a dualistic view of reality in which the realm of ideas holds greater significance than the physical world. This stands in opposition to Indian philosophies like Advaita Vedanta, which highlights non-dualism and the oneness of the self (Atman) with the ultimate reality (Brahman). Aristotle's empiricism and teleological perspective on nature offer a practical approach to comprehending existence and ethics, standing in stark contrast to the more abstract, frequently cyclical interpretations found in Indian philosophies such as Buddhism and Jainism. These philosophies highlight the ephemeral nature of life and stress the significance of moral action (karma) in influencing future rebirths. This paper examines the influence of the dialectical methods of Plato and Aristotle on Western philosophical thought, while also exploring the resonance and divergence of their concepts with Indian philosophical traditions. Through a thorough analysis of these philosophical frameworks, the study seeks to reveal the common questions and unique viewpoints concerning knowledge, reality, and morality. The results indicate that despite notable variations in methods and conclusions, both Western and Indian philosophies offer important perspectives on the human experience, thereby enhancing the overall philosophical dialogue worldwide. This study sheds light on the historical context and development of philosophical thought while promoting cross-cultural dialogue and understanding. It highlights the significance of these ancient philosophies in tackling modern philosophical and ethical challenges.

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Plato, Aristotle, Advaita Vedanta, Theory of Forms, Brahman

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Microstrip Patch Antenna, Oloid Geometry, S-Band Applications, Radar Systems, CST Microwave Studio, Impedance Matching, Return Loss (S11), VSWR, Radiation Characteristics, Compact Antenna.

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Patient waiting time is one of the most important indicators of hospital efficiency and service quality. Long waiting periods at registration, consultation, diagnostic services, pharmacy, and billing can negatively affect patient satisfaction and overall hospital experience. This study aims to understand the major reasons behind extended waiting times in hospitals and identify practical ways to improve patient flow. The research examines factors such as patient load, staff availability, workflow management, communication gaps, and the use of technology. Data was collected from patients through surveys and observation of hospital processes. The findings show that delays are mainly caused by overcrowding, manual processes, staff shortages, and poor coordination between departments. The study suggests adopting digital systems, improving scheduling, and strengthening interdepartmental communication to reduce waiting time and improve healthcare service delivery.

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Hospital Waiting Time, Patient Flow, Patient Satisfaction, Hospital Efficiency, Healthcare Management, Service Quality, Workflow Management, OPD Delay

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This paper presents the design and development of an intelligent AI-powered travel planning system titled Dynamic Affective Geo-Recommendation Engine for Transformative Mile-Based Engagement. The proposed platform functions as a web-based conversational assistant that enables users to plan trips through Natural Language Processing (NLP) and machine learning techniques. Unlike conventional travel portals that demand manual navigation across fragmented resources, the system interprets user queries in plain conversational language, extracts contextual parameters such as budget, travel duration, and personal interests, and delivers organized, personalized destination recommendations. The recommendation engine employs a trained intent-classification model built on the NLTK toolkit and a Multi-Layer Perceptron (MLP) neural network. The chatbot module communicates in real time, offering relevant destination insights and structured travel guidance. The system architecture is modular and scalable, consisting of a user interface layer, an NLP processing engine, a machine learning classification module, a structured intent knowledge base, and a map visualization component for location-based output. Evaluation results demonstrated consistent accuracy in intent recognition and recommendation relevance across varied user input types. The system effectively reduces decision-making complexity, enhances user interaction quality, and supports efficient trip planning through an intelligent, user-centric interface.

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AI Travel Planner, Natural Language Processing, Chatbot, Destination Recommendation, Itinerary Planning, Machine Learning, NLTK, Intent Recognition, Personalized Recommendations.

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Access to justice is a basic right as per Article 39A of the Constitution of India, whereby the state is committed to providing equal justice and free legal assistance. Yet, the Indian judicial framework has been infested with delays, arrears, and procedural complexity for years, rendering most individuals inaccessible to justice. As of 2024, more than 50 million cases are pending across Indian courts, with some remaining on the shelf for decades. This crisis calls for a revolution of Alternative Dispute Resolution (ADR) mechanism, which provides quicker, cheaper, and amicable solutions to disputes' has mechanisms like arbitration, mediation, conciliation, and negotiation, which operate outside the conventional court litigation. They are becoming more and more observed internationally for their applications to clear congestion from courts and make justice more accessible. Indian laws like the Arbitration and Conciliation Act, 1996, and the Legal Services Authorities Act, 1987, have provided legal acceptance to ADR. ADR has not been utilized to its potential, though, by way of unawareness, institutional capacity, and problems of enforcement. This research paper discusses the current state of ADR in India, determines the defining challenges, and proposes reforms to strengthen ADR mechanisms for improved access to justice. The study relies on a mix methodology wherein legal provisions, judicial precedents, and empirical studies are examined to assess the effectiveness of ADR.

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Alternative Dispute Resolution (ADR), Access to Justice, Arbitration and Mediation, Judicial Reforms, Legal Framework in India

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Tuberculosis (TB) remains a major communicable disease burden in India, requiring efficient case notification, treatment monitoring, follow-up, and documentation. The Government of India has introduced the Nikshay App as a digital platform under the National Tuberculosis Elimination Programme to strengthen TB case management. Nursing students, as future healthcare providers, play a crucial role in utilizing such digital tools; however, inadequate knowledge regarding the application may hinder effective TB control. This study aimed to assess the effectiveness of a structured teaching programme on knowledge regarding the role of the Nikshay App in TB case management among nursing students in selected nursing institutes of Hyderabad. A quantitative research approach was adopted with a sample size of 102, accounting for a 5% attrition rate, and participants were selected using purposive sampling. Data were collected using a self-structured questionnaire and analyzed using descriptive and inferential statistics. The final study included 100 participants. Pre-test findings revealed that 61% of students had inadequate knowledge, 37% had moderate knowledge, and only 2% had adequate knowledge. Following the structured teaching programme, there was a marked improvement, with only 8% demonstrating inadequate knowledge, 71% having moderate knowledge, and 21% achieving adequate knowledge. The mean post-test knowledge score (19.97) was significantly higher than the pre-test score (12.87) and paired t-test analysis confirmed a statistically significant difference, indicating the effectiveness of the intervention. Chi-square analysis showed significant associations between knowledge and variables such as age, gender, prior curriculum exposure to the Nikshay App, and participation in related training, while no significant association was found with year of study, prior awareness, or clinical postings in TB-related settings. The study concludes that structured teaching programmes are effective in enhancing knowledge and competency of nursing students in utilizing digital health tools for TB case management. Keywords: Tuberculosis, Nikshay App, Nursing students

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Tuberculosis, NIKSHAY App, Nursing students, NTEP, DOTS

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This study examines the financial behavior of Gen Z investors with special focus on Hyderabad district, aiming to understand the factors influencing their investment decisions, risk preferences, and financial goals. The research adopts a quantitative approach and is based on primary data collected through a structured Likert-scale questionnaire administered to 90 Gen Z respondents who are registered members of Angel One. A convenience sampling technique was employed, and statistical tools such as percentage analysis, regression analysis, and factor analysis were used to interpret the data. The findings reveal that the majority of respondents are mid-Gen Z professionals aged 24-26 with moderate income levels and stable salaried employment as their primary investment source. Despite being digitally active, Gen Z investors show a stronger preference for safer investment avenues such as Fixed Deposits and Recurring Deposits over high-risk assets like cryptocurrencies and NFTs, indicating a moderate risk appetite. Learning and experimentation emerged as the most influential factor driving investment decisions, followed by long-term wealth creation and retirement planning. The study also highlights the significant role of peer reviews, financial advisors, and technology-enabled investment tools in shaping informed decision-making. Overall, the research concludes that Gen Z investors in Hyderabad are goal-oriented, knowledge-driven, and technologically empowered, with a strong focus on long-term financial security rather than short-term speculative gains.

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Financial Behavior, Gen Z Investors, Investment Decisions, Risk Preferences, Financial Literacy, Long-Term Wealth Creation.

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Louise Erdrich is widely recognized as a major contemporary Native American writer whose fiction explores identity, justice, and the socio political realities of Indigenous communities. The Round House offers a powerful examination of justice within a reservation setting, where legal authority is fragmented and often ineffective. This paper analyzes the representation of justice through visual, symbolic, and structural elements in the novel. By focusing on the journey of Joe Coutts, a young boy seeking justice for his mother, the study reveals how justice operates not as a linear legal outcome but as a cyclical and culturally embedded process. The analysis emphasizes the importance of space, particularly the round house, as a symbol of continuity and moral balance. Furthermore, the paper explores themes of trauma, legal failure, and community resilience to demonstrate how Erdrich critiques institutional systems while highlighting Indigenous perspectives on justice and healing.

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identity, justie, symbol, trauma

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Rapid urbanization in India, particularly across emerging Tier-2 cities, has intensified transportation and infrastructure pressures. Increasing population density and the growing number of private vehicles have contributed to challenges such as road congestion, environmental degradation, poor public transport integration, and unplanned land consumption. In response to these concerns, Transit-Oriented Development (TOD) is being recognized as an effective urban planning strategy that supports sustainable and integrated city growth through development concentrated around mass transit corridors. This study explores the significance of Transit-Oriented Development in enhancing urban mobility in Tier-2 Indian cities. It analyses the impact of TOD concepts including compact urban form, mixed-use land patterns, pedestrian-friendly environments, and improved accessibility to public transportation systems. The study focuses on how these measures can minimize reliance on personal vehicles while strengthening the efficiency and sustainability of urban transport networks. The research methodology is based on secondary sources such as planning policies, government publications, academic studies, metro rail documentation, and urban development reports. The analysis reveals that TOD has considerable potential to increase public transport usage, promote non-motorized transportation such as walking and cycling, decrease traffic-related problems, and encourage environmentally responsible urban expansion. However, several barriers continue to hinder its effective implementation, including limited inter-agency coordination, insufficient pedestrian and cycling infrastructure, financial constraints, and challenges related to land administration and regulation. The paper concludes that coordinated integration between transportation systems and land use planning is necessary for the successful adoption of Transit-Oriented Development in Indian cities.

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Transit-Oriented Development, Urban Mobility, Sustainable Planning, Public Transport, Tier-2 Cities, Urban Development.

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This research explores the adaptive reuse of a ruined Portuguese-era church located in the campus of Our Lady of Fatima Convent School, Moti Daman. The project proposes transforming the structure into a children's learning and living centre, combining a heritage library with residential facilities for orphan children. The study focuses on interior design strategies that preserve historical identity while integrating modern functionality. Through literature study, case studies, and site analysis, the research demonstrates how adaptive reuse can serve both heritage conservation and social welfare.

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Adaptive reuse, heritage conservation, children's centre, ruined church, interior design, Daman, Portuguese architecture.

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Career guidance is an integral yet underrepresented part of education that helps students decide on what course they want to pursue post-secondary. In India, career guidance for students is either not available or available to only some extent because students do not have structured guidance. Moreover, the traditional career guidance is generic, sporadic, and does not cater to personal preferences of the students. This paper proposes the design and development of an Artificial Intelligence-powered Career Guidance Platform known as AI Guruji. This platform uses various features like AI, psychometric assessment, and conversation-based recommendation engines to offer personalized career recommendations to the users based on their profile and preferences. Some of the technical aspects of this platform include React18 as a frontend, Nodejs Backend, Supabase Database, and Gemini AI-powered recommendation engine. The users go through multidimensional psychometric assessments of interest, aptitude, and unconventional careers along with chatbot-powered career guidance. The user validation test revealed that most of the time students receive no career guidance at school. Moreover, all the respondents expressed an immense desire for AI Career Guidance.

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AI Career Guidance, Psychometric Assessment, Gemini API, NLP, Personalized Recommendation, Conversational Chatbot

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ABSTRACT Background: The COVID-19 pandemic caused significant psychological distress among healthcare workers. Psychological First Aid (PFA) is an early intervention that helps reduce distress and improve coping abilities. Methods: A pre-experimental one-group pre-test and post-test design was conducted among 40 staff nurses on COVID-19 duty in selected hospitals in Bengaluru. Participants were selected using purposive sampling. A structured knowledge questionnaire was used for data collection. After the pre-test, a Structured Teaching Programme (STP) was administered, and a post-test was conducted after 7 days.Results: The mean pre-test knowledge score was 12.3%, which increased to 22.34% in the post-test, showing an improvement of 10.04%. The difference was statistically significant at the 5% level. No significant association was found between pre-test knowledge and socio-demographic variables (P > 0.05). Conclusion: The study revealed inadequate knowledge among staff nurses, and STP was effective in improving knowledge regarding PFA.

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Key words:PFA- psychological first aid, STP-structured teaching programme

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ABSTRACT Background: Covid-19 is really an infectious disease caused by a recently discovered corona virus. The majority of Covid-19 virus-infected individuals will develop mild to severe respiratory disease and recover without the need for special care. The elderly and individuals who have underlying medical diseases such cancer, diabetes, lung disease, and cardiovascular disease are more prone to have serious illnesses. COVID-19 affects different people in different ways. Methods: In this study quantitative approach with pre-experimental research design was used. The setting of the study was selected rural area of Valsad district. Sample size was 30. In this study non-probability sampling technique convenient sampling technique was done. Structured questionnaire was used. Data analysis was done mainly using descriptive statistics paired t -test for hypothetical testing and chi square test was done for association. Result: The present study evaluates the knowledge of post COVID patients regarding prevention of post COVID complications and found that 13.33% of the samples had poor knowledge 80% of people had average knowledge and 6.67% of people had good knowledge in the pre-test. The overall mean percentage of knowledge in pre-test was 9.36 with the standard deviation of 3.52. In the post test the overall mean percentage of knowledge in post-test was 14.5 with the standard deviation of 3.98. Conclusion: Analysis data shows that the post test knowledge score has significantly higher than the pre test knowledge score at p < 0.05 level of significance i.e. mean difference is 5.19. There was a significant improvement in knowledge of post COVID patients. The study revealed that structured teaching programme was observed to be very effective method to improving knowledge on prevention of post COVID complications.

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Knowledge, Prevention, Post, Covid, Complication

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This paper explores the connection between Vincent Van Gogh's painting visual components and emotional expression. Van Gogh, a prominent character in Post-Impressionism, developed a unique style that prioritized subjective experience over accurate portrayal. A qualitative approach based on careful visual inspection of pieces of art is used in the study. It draws attention to the ways that differences in color, texture, and brushstrokes help to express emotional depth. The results show that Van Gogh's artistic approach has had a major impact on the development of modern art and functions as a medium for conveying inner states. Keywords: Vincent van Gogh, Post impressionism, Color dynamics, emotional expression, art analysis.

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Keywords: Vincent van Gogh, Post impressionism, Color dynamics, emotional expression, art analysis.

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The number of elderly people in society is increasing rapidly, and this has created new challenges related to their safety, health, and overall well-being. Many elderly individuals today prefer to live independently, but this also makes them more vulnerable to risks such as falls, medical emergencies, and delayed help. This study focuses on smart safety bracelets as a possible solution to these problems and tries to understand how people perceive and accept such devices. The research is based on secondary data collected from reports, articles, and existing studies related to elderly care and wearable technology. It mainly looks at how consumers, especially family members and caregivers, think about these devices and what factors influence their decision to buy them. Things like ease of use, cost, trust in technology, and usefulness play an important role, along with emotional factors like safety and peace of mind.

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 Keywords

o HEALTH o SAFETY o ELDERLY o BRACELET o EMERGENCY o WATCH

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