Volume 14 | Issue 3

 Abstract

The expansion of social networking platforms has fundamentally reshaped the way travel decisions are formed, particularly among younger consumers. Unlike traditional tourism promotion that relied on brochures, television campaigns, or travel agents, modern destination discovery increasingly occurs through algorithm-driven digital feeds. This study investigates how visual social media platforms influence travel intention among Generation Z consumers and evaluates the contribution of influencer credibility and AI-enabled customer interaction systems in strengthening tourism engagement. A descriptive research design was adopted, and primary data were collected from 15 respondents aged between 18 and 27 years through a structured questionnaire. In addition, a case-based assessment of Pista House was conducted to examine the impact of conversational digital automation. The findings reveal that visually dominant platforms significantly shape destination awareness, with 85% of respondents identifying Instagram as their primary inspiration source. Automation-based engagement further demonstrated measurable improvements in customer responsiveness and conversion. The study concludes that tourism enterprises must reposition themselves within a digitally immersive ecosystem centered on visual narratives, social validation, and real-time interaction.

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Social Media Influence, Tourism Marketing, Generation Z, Digital Engagement, Influencer Credibility, AI Automation, Travel Intention.

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We propose a machine learning approach to leverage past vehicle sales data to forecast the approximate value used cars will fetch when they are resold. The model employs Linear Regression and Random Forest algorithms to make predictions based on key variables such as the car's age, mileage, fuel type, engine capacity, transmission type, and make. A comprehensive set of experiments is carried out to assess the effect of various variables on the accuracy of the predictions, as well as to compare the performance of the two models with different data scenarios. The experiment outcomes clearly show that the Random Forest model performs better than the Linear Regression model by accounting for the non-linear relationships that exist in practical automobile sales data.

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Used Car Price Prediction, Machine Learning, Linear Regression, Random Forest, Data Analytics, Automotive Industry.

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Mutrakrucchra is an important urinary disorder described in Ayurveda, characterized by painful, difficult, or burning micturition. In children, Mutrakrucchra can be clinically correlated with urinary tract infection (UTI), which is one of the most common bacterial infections in the pediatric age group. Pediatric UTIs may lead to significant morbidity, recurrent infections, and long-term renal complications if not diagnosed and managed appropriately. Ayurveda explains Mutrakrucchra as a condition caused by vitiation of mainly Vata and Pitta dosha, along with involvement of Mutravaha srotas. Nidana such as improper dietary habits, inadequate fluid intake, suppression of natural urges, infections, and poor hygiene play a significant role in children. Classical Ayurvedic texts describe various types of Mutrakrucchra along with their lakshana, samprapti, and chikitsa principles. Management includes Nidana parivarjana, Shamana therapies using Mutrala, Shothahara, and Pittashamaka drugs, along with supportive dietary and lifestyle measures. This review article aims to compile and analyze classical Ayurvedic concepts of Mutrakrucchra in children and correlate them with modern understanding of pediatric urinary tract infections. An integrative approach based on Ayurvedic principles may help in effective management, prevention of recurrence, and improvement of overall urinary health in children.

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Mutrakrucchra, Urinary Tract Infection, Children, Pediatric UTI, Mutravaha Srotas, Ayurveda

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This study examines how the successful commercialization of self-driving vehicles can significantly improve human convenience and safety by transforming transportation systems. It systematically reviews four core technological pillars--vehicle navigation, path planning, environmental perception, and vehicle control--highlighting their roles in enabling autonomous operation. The paper also surveys leading research organizations and institutions worldwide, providing a global perspective on development efforts. In addition, it explores ongoing debates surrounding autonomous vehicles, such as safety, ethics, and regulation, while forecasting future trends in the field. Overall, the work offers a comprehensive overview of current advancements, identifies the state-of-the-art in autonomous driving technology, and consolidates research progress and institutional contributions in this rapidly evolving domain.

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Self-driving cars, Autonomous vehicles, Vehicle navigation, Path planning, Environment perception, Vehicle control, Sensor fusion, Artificial intelligence, Intelligent transportation systems, Automation.

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Amitav Ghosh's The Glass Palace (2000), set in late colonial Burma during the upheavals of World War II, has frequently been viewed through the prism of nationalist awakening, with Arjun's trajectory interpreted as a move from imperial devotion to anti-colonial conscience. Such interpretations, however, tend to prioritise intellectual transition while ignoring the institutional and emotional roots of his previous loyalty. To fill this gap, the current study examines how Arjun's loyalty is fostered by military discipline and maintained by affective attachment. Drawing on Michel Foucault's concept of disciplinary power and Sara Ahmed's theory of affective economies, the study contends that Arjun's affiliation with the British Empire is influenced by professional ethos, institutional regulation, and an emotional stake in honour and recognition. His wartime disillusionment is thus interpreted not as a sudden ideological conversion, but as the collapse of a disciplinary-affective framework that had organised his sense of self. This work contributes to postcolonial literary scholarship by focusing on the formation and destabilisation of colonial-military subjectivity, providing a more nuanced understanding of imperial devotion and its fragility.

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Imperial loyalty; Military discipline; Affective attachment; Colonial subjectivity; Nationalism

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Emigrations from coal- fired mileage boilers may also contribute significantly to ambient particulate attention, in particular in the veritably first- class ( beneath 2.5 micron) flyspeck length range. Ambient PM2.5 speciation studies frequently display that geologic accoutrements, which incorporate the maturity of cover ash produced through coal combustion, make up handiest a small bit of the particulate. Sulphate, nitrates, and natural composites generally incorporate redundant than eighty percent of the ambient PM2.5. Thus emigration of secondary aerosol precursors (e.g., nitrogen oxides, sulfur dioxide, sulfur trioxide, ammonia, and certain unpredictable natural composites) contributes significantly to ambient PM2.5. Coal- fired boilers emit both number one PM2.5 and secondary flyspeck precursors. Because of the big volume of gassy energies burned, indeed gas- fired widgets may also have implicit to contribute significantly to ambient PM2.5. The chemical speciation of number one patches emitted from coal- fired boilers gives important labels that may be used to identify the relative donation of a particular order of reasserts to near ambient PM2.5. Being emigration factors and speciation biographies for PM2.5 precursors from combustion reasserts are frequently dated and deficient. Also, the huge variety of coal mineral matter compositions, boiler designs and pollution control outfit makes point-unique emigrations characterization the most reliable way of attributing force benefactions. A test protocol for growing PM2.5 emigration factors and chemical speciation biographies has been evolved. The paper discusses procedures for characterization of PM2.5 and PM2.5 precursors from stationary combustion reasserts and original results of discipline measures made the use of traditional and dilution slice ways. Results of tests on gas- fired units the use of both traditional force testing styles and a dilution slice fashion are presented and compared. Imagine walking through a busy city street, breathing in air that looks clear but carries invisible dangers. Fine particles from power plants often make up part of that haze. These tiny bits, known as PM2.5, come from sources like utility boilers in energy production. Utility boilers play a big role in creating PM2.5 emissions. They burn fuels to generate steam for electricity. This process releases harmful particles into the air; the PM2.5 means only the particulate matter smaller than 2.5 micrometers are taken. It slips into your lungs and blood, causing serious health problems. This article looks at how utility boilers add to PM2.5 levels. It covers their effects on people and nature. Plus, it shares steps to reduce these emissions for better air quality.

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Emigrations, coal- fired mileage boilers, traditional force, testing, pollution control, PM2.5 emissions, and benefactions.

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Tamak Shwasa is an important respiratory disorder described in Ayurvedic classics and is categorized under Shwasa Roga. It is a chronic, recurrent condition predominantly involving Vata and Kapha Dosha, characterized by difficulty in breathing, wheezing sound, chest tightness, cough, and episodic exacerbations, especially during night and early morning hours. In children, Tamak Shwasa closely resembles childhood bronchial asthma described in modern medicine, which is a common chronic inflammatory airway disease affecting the pediatric population worldwide. Childhood asthma significantly impacts physical activity, school attendance, growth retardation and overall quality of life, making early diagnosis and holistic management essential. Ayurveda explains the pathogenesis of Tamak Shwasa as Kapha-induced obstruction of Pranavaha Srotas along with aggravated Vata, leading to dyspnea and recurrent attacks. Nidana such as exposure to dust, smoke, cold climate, allergens, improper diet, recurrent respiratory infections, and genetic predisposition play a crucial role in children. Classical texts like Charaka Samhita and Sushruta Samhita describe detailed etiopathogenesis, lakshanas, prognosis, and management principles including Nidana Parivarjana, Shodhana, Shamana Chikitsa, Pathya-Apathya, and Rasayana therapy. This review article aims to compile and critically analyze classical Ayurvedic descriptions of Tamak Shwasa in children and correlate them with modern concepts of childhood asthma. An attempt is made to highlight the scope of Ayurvedic preventive and therapeutic approaches in reducing disease severity, frequency of attacks, and dependency on modern medications. Integrative understanding of Ayurveda and contemporary medicine may offer safer, cost-effective, and sustainable management strategies for childhood asthma.

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Tamak Shwasa; Childhood Asthma; Pediatric Respiratory Disorders; Pranavaha Srotas; Kapha-Vata Dosha; Ayurveda; Bronchial Asthma

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The accelerating proliferation of misleading and fabricated information across digital ecosystems has emerged as a critical threat to societal stability and informed decision-making. Deceptive news content can distort public perception, undermine democratic institutions, and generate social unrest. To address this growing challenge, this study presents an intelligent fake news detection framework based on a feature-driven, optimized Multi-class Support Vector Machine (MSVM) classification model. The proposed system performs comprehensive feature extraction from textual data, incorporating lexical indicators, syntactic patterns, semantic embeddings, and contextual attributes to capture deeper linguistic and structural characteristics of news articles. Advanced feature selection and optimization techniques are applied to enhance predictive capability while minimizing computational overhead. Unlike conventional binary classifiers, the MSVM model enables multi-category classification, distinguishing among real, fake, satire, partially true, and misleading content for more granular and informative analysis. This multi- dimensional approach improves classification robustness, scalability, and adaptability across diverse datasets and multilingual environments. Experimental validation demonstrates improved detection accuracy and reduced misclassification rates compared to traditional models. By integrating optimized feature engineering with supervised machine learning, the proposed framework offers a reliable and efficient solution for real-time deployment in social media monitoring systems, automated fact-checking platforms, and digital news verification applications, thereby contributing significantly to advanced misinformation detection research.

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Fake News Detection, Multi-Class Support Vector Machine, Feature Optimization, Machine Learning, Natural Language Processing.

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Chronic non-communicable diseases, including diabetes mellitus, hypertension, cardiovascular disorders, chronic obstructive pulmonary disease (COPD), and chronic kidney disease (CKD), remain among the foremost contributors to global morbidity and mortality. Effective management of these conditions necessitates continuous monitoring, coordinated multidisciplinary care, and active patient engagement--requirements that conventional healthcare delivery models frequently fail to meet. In this context, telehealth has emerged as a transformative paradigm, employing digital communication technologies, wearable devices, remote monitoring systems, and artificial intelligence (AI)-driven analytics to extend healthcare services beyond traditional clinical environments. Empirical evidence demonstrates that telehealth interventions can enhance clinical outcomes, improve medication adherence, and elevate patients' overall quality of life. Mobile health (mHealth) applications, Internet of Medical Things (IoMT) devices, and cloud-based data integration enable real-time physiological monitoring and facilitate individualized treatment strategies. Moreover, telehealth utilization has been correlated with reductions in hospital readmissions and overall healthcare expenditures, signifying both clinical efficacy and economic efficiency. By fostering continuous, bidirectional communication between patients and healthcare providers, these digital modalities promote self-management, reinforce therapeutic adherence, and strengthen patient empowerment. Nonetheless, several obstacles continue to impede the widespread implementation of telehealth, including disparities in technological infrastructure, concerns regarding data privacy and cybersecurity, and the absence of standardized regulatory frameworks across regions. Addressing these challenges requires comprehensive strategies encompassing infrastructure enhancement, digital literacy development, policy harmonization, and equitable access initiatives. In conclusion, telehealth represents a significant paradigm shift in chronic disease management by bridging gaps in accessibility, continuity, and quality of care. The convergence of digital health innovations with interdisciplinary collaboration holds substantial promise for improving healthcare delivery, optimizing patient outcomes, and advancing global health equity.

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Keywords: Telehealth, Chronic Disease Management, Digital Health, Remote Monitoring, Patient Engagement, Long-Term Care, Health Equity

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Groundwater depletion has emerged as a critical challenge in the semi-arid regions of Andhra Pradesh, particularly in the Rayalaseema region. Chinnadudyala Gram Panchayat (GP), located in Muddanur mandal of YSR Kadapa district, faces irregular rainfall, high runoff, and declining water tables. This paper explores the application of staggered trenches and dugout ponds as community-based water conservation structures in Chinnadudyala. Staggered trenches on hill slopes reduce runoff and enhance infiltration, while dugout ponds in valley bottoms collect rainwater and recharge groundwater. Integrating these measures at the micro-watershed scale can improve water security, support agriculture, and strengthen climate resilience in the GP.

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Staggered Trenches, Dugout Pond, Aquifer, Infiltration

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In the contemporary educational landscape, the transition to digital platforms has introduced a phenomenon known as the 'Black Box' syndrome, characterised by muted microphones and disabled cameras. This shift has led to a crisis of engagement, with 73% of students feeling less engaged compared to in-person settings. This paper explores the 'High-Touch Teaching Framework,' a human-centric approach designed to restore connection and presence in virtual classrooms. By examining the interpersonal and societal impacts of digital-default communication, the study proposes practical strategies and mindset shifts to move from mere content delivery to genuine human connection.

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Black box syndrome, High-touch teaching, Binary presence, Involuntary presence, Digital empathy, Pedagogical connection.

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This study examines India's transition from the policy of Non-Alignment to the contemporary strategy of Multi-Alignment in global politics. Rather than representing a complete departure from earlier foreign policy principles, the shift reflects a strategic adaptation shaped by structural changes in the international system, including the rise of China, renewed great-power competition, and the emergence of multipolarity. Grounded in realist theory and the concept of strategic autonomy, the study combines historical analysis with perception-based survey data to evaluate India's evolving diplomatic approach. The findings indicate that India's foreign policy represents a pragmatic balancing strategy aimed at maximizing national interest while maintaining decision-making autonomy. The paper concludes that Multi-Alignment represents an evolutionary continuation of Non-Alignment within a changing global order.

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Non-Alignment, Multi-Alignment, Indian Foreign Policy, Strategic Autonomy, Multipolarity, Global Politics

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The current status of work-life balance (WLB) scholarship in industrial relations is assessed in this study. It looks for ways to improve gender parity in the workplace. The way people from different socioeconomic backgrounds handle their work and home responsibilities is both made easier and more difficult by digital innovations. In order to expose the traditional WLB discourse's disproportionate focus on the "time poverty" of wealthy, white-collar workers while largely ignoring the crucial role of financial stability, the study first applies a class-based critique. It goes beyond conceptually we are used to define it, and describes the effects of the broader phantomization of economy on work-life balance. Although gig work is often promoted as a form of independence and so-called "flexibility"--which should in theory help individuals juggling caregiving responsibilities better dictate their schedules--it also comes with glaring institutional loopholes like those that exist in conventional work. The "gig" is not as flexible and carefree as one may imagine, instead characterized by irregular scheduling of work hours, variable income, and intensification of work intensity that leaves the gig workers in a precarious position with little sense of real balance between life and work. The article finishes by advocating for a more thorough and intricate understanding that takes into account the overlapping areas of gender, class, and financial stability as essential for achieving true equality in the workplace for those involved in today's job environment.

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of

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Abstract Art therapy has gained popularity in the recent years due to its holistic nature and artistic in its process. It is a type of treatment that promotes better mental health and psychological well-being. It is best known for helping the individuals in the process of emotional and self-expression. This detailed review of literature attempts to extract the concrete basis that supports the impact of art therapy in three major areas: life satisfaction, emotional intelligence and self-esteem. Systematic reviews of existing studies and research indicates that art therapy has shown a positive impact on emotional well-being, increasing self-esteem and overall satisfaction with life. Theories such as positive psychology, models drawn from art-based therapies also reveals the ways of art therapy works while also highlighting the advantage of emotional expression, symbolically communicating without use of just words and self-exploration that overall facilitates better regulation of emotions and developing positive self-concept. However, there are also evidence, limitations and visible gaps that are persistently being there specifically regarding systematic research in a non-clinical population. It is suggested to use a more standardized and controlled research using rigorous methods to further validate and generalize the finding to a larger population in the future studies.

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Keywords: Life Satisfaction, Self-esteem, Emotional Intelligence, Mental health

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Health Risk Assessment (HRA) is a systematic process used to evaluate the potential adverse health effects resulting from exposure to environmental, chemical, biological, or occupational hazards. The assessment typically involves four core components: hazard identification, dose-response assessment, exposure assessment, and risk characterization. Through qualitative and quantitative analyses, HRA estimates both the likelihood and severity of harmful outcomes in defined populations, and supports decision-making in public health management, regulatory policy, and risk communication. As a multidisciplinary framework, HRA integrates toxicology, epidemiology, environmental science, and statistical modeling to guide protective measures and reduce health burdens. Increasingly, emerging methodologies--such as probabilistic modeling, biomonitoring, and cumulative risk assessment--are enhancing the precision and relevance of HRAs, enabling more effective interventions and evidence-based policy development.

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Health Risk Assessment, XGBoost, Machine Learning, Agentic AI, Generative AI, Explainable AI, Flask Deployment, Digital Health.

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universal health-care precautions (UHP), Needle Stick Injury (NSI), Self-Administered Questionnaire.

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Sustainable transportation, environmental protection, fuel cost savings, consumer awareness, and E-bike adoption are increasingly important in today's mobility landscape. In this context, the present study examines the level of awareness towards E-bikes among users in Pollachi Taluk. The study aims to analyze users' awareness regarding E-bike features, battery performance, charging infrastructure, government incentives, and environmental benefits, along with identifying factors influencing purchase decisions. The research is based on both primary and secondary data. Primary data were collected from 300 working women policyholders in Pollachi Statistical tools such as Simple Percentage Analysis, Z-test, ANOVA, Ranking Test, Regression, and Correlation were used for analysis. The findings indicate that awareness levels significantly differ based on age, educational qualification, and annual income, while occupation, marital status, and type of family do not show significant influence. The study concludes that enhancing awareness programs, strengthening promotional strategies, and improving infrastructure facilities can further promote E-bike adoption in Pollachi Taluk.

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E-Bikes, Consumer Awareness, Purchase Decision, Environmental Benefits, factors, benefits, etc.,

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The Systematic Investment Plans (SIPs) have proved to be one of the most organized and convenient methods of investing in the Indian mutual fund sector. By allowing the investor to make a systematic investment of a fixed amount of money periodically in mutual fund schemes, SIPs help the investor to make disciplined investments, overcome the psychological factor of market timing, and make use of the power of compounding. In recent years, there has been a substantial rise in the number of SIP registrations and monthly investments in India, thanks to the efforts of the Association of Mutual Funds in India, which has been conducting awareness programs across the country under the guidance of the Securities and Exchange Board of India

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SIP Awareness and Investment Decisions, SIP, Mutual Funds, FDS, Smart Investments

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 Abstract

Samsamayik Aatm Kathaao Ka Samajik Vishleshan

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Samsamayik Aatm Kathaao Ka Samajik Vishleshan

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The growing pace of Artificial Intelligence (AI) is transforming digital transformation pathways in institutions of higher learning and impacting academic provision, assessment mechanisms, research activities, and administrative activities. This empirical research examines the role of AI as an institutional digital transformation catalyst, specifically, at what stages of adoption it occurs, which areas of functional transformation are involved, strategic orientation, and enabling conditions. The structured questionnaire was used to gather data on 91 members of the faculty of institutions of higher learning and the data were analyzed using descriptive statistics and inferential statistics such as mean analysis, one-way ANOVA. The results show that the most significant occurrence of AI-driven digital transformation is the use of AI in the teaching and assessment fields, but research processes and administrative processes are also undergoing a consistent introduction. Most institutions are in an emerging and developing level of transformation maturity which implied progressive but not yet mature strategic implementation. The most visible technologies that help to facilitate transformation are virtual assistants and predictive modeling, and innovation becomes the main institutional goal that will determine the use of AI. Among the enablers that can hasten the speed of the digital transformation efforts, institutional support and student demand are listed. Gender analysis does not show any statistically significant differences in the perceptions of AI-driven digital transformation, which can be regarded as shared institutional experiences of demographic groups. All in all, the paper concludes that AI is actively involved in digital transformation in higher education, but long-term strategic alignment, governance transparency, and organizational dedication are the keys to further maturity of transformation. The results will present practical information to policymakers and institutional administrators who will be able to enhance AI-based digital transformation and preserve the integrity of the academic process and its sustainability.

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 Keywords

Artificial Intelligence; Digital Transformation; Higher Education Institutions; AI Adoption Maturity; Institutional Strategy; Faculty Perceptions; Organizational Readiness;

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