Volume 13 | Issue 10

 Abstract

Hypertension is extremely common among patients on maintenance hemodialysis (HD) and is a major driver of cardiovascular complications and mortality. Effective blood pressure (BP) management depends not only on appropriate drug therapy but also on consistent adherence to prescribed regimens. In HD patients, adherence is frequently inadequate due to factors such as treatment complexity, large pill burdens, emotional distress, and financial or logistical barriers. The Adherence to Refills and Medications Scale (ARMS) is a validated questionnaire that evaluates both medication-taking and refill behaviors, making it especially suitable for individuals with chronic health conditions such as end-stage renal disease (ESRD). This review outlines the epidemiology and pathophysiology of hypertension in HD, explores adherence-related challenges, compares available assessment tools, and highlights the advantages of ARMS for evaluating and improving antihypertensive medication adherence. It also summarizes available evidence and proposes directions for future clinical and research initiatives.

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Hypertension, Hemodialysis, Medication Adherence, ARMS

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The advent of digital humanities has revolutionized the study of literature by integrating computational tools with traditional interpretive methods. This paper explores the application of digital humanities methodologies including text mining, computational linguistics, and digital archiving to analyse literary texts and uncover patterns, trends, and hidden structures that remain elusive through conventional close reading. By employing large-scale text mining techniques, scholars can identify recurring motifs, stylistic markers, and intertextual relationships across extensive corpora. Computational linguistics enables nuanced examinations of language, semantics, and sentiment, offering insights into authorial style, cultural influences, and socio-political contexts. Digital archives further enhance accessibility, enabling researchers to curate, annotate, and preserve vast bodies of literary work while fostering collaborative scholarship. The study emphasizes the complementary nature of distant and close reading, arguing that digital humanities tools do not replace humanistic inquiry but rather augment it with scale, precision, and new interpretive possibilities. Ultimately, this paper demonstrates how computational approaches extend the boundaries of literary analysis, paving the way for innovative scholarship that bridges technology and the humanities.

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Digital humanities, text mining, computational linguistics, digital archives, literary analysis, distant reading, digital scholarship

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Tourism has multi-dimensional impacts, influencing the social, cultural, economic, political, environmental, and other aspects of society. Among these, environmental impact has emerged as a significant concern, as the rapid growth of tourism over the years has brought both opportunities and challenges for tourism and society. The objectives of this study are to assess both the positive and negative impacts of tourism on the environment and to analyse the community's awareness of, and response to, these changes. The research design was descriptive, and the study was conducted in the key areas of Dharamshala. Purposive sampling was used to select 50 respondents. Data collection involved the semi-structured interview schedule method. The present study findings highlight that tourism in Dharamshala has led to both positive and negative environmental impacts. Consequently, local communities, authorities, and tourism-related commercial establishments are actively working towards sustainable tourism practices.

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Dharamshala, Tourism, Environmental Impacts, Sustainable Tourism, Society

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The proliferation of space debris in low Earth orbit (LEO) poses a significant threat to operational satellites, space missions, and the sustainability of space exploration. This paper proposes an innovative artificial intelligence (AI)-based framework for tracking and removing space debris. By leveraging machine learning algorithms for real-time debris detection and predictive orbital modeling, coupled with autonomous robotic systems for debris capture, the proposed system aims to enhance the efficiency and safety of space operations. Simulated results demonstrate a 92% accuracy in debris identification and a 78% success rate in debris removal operations, highlighting the potential of AI-driven solutions to address the growing challenge of orbital debris.

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Artificial Intelligence (AI),Machine Learning (ML),Deep Learning (DL),Reinforcement Learning (RL),Satellite Collision Avoidance System (AISCAS),Space Situational Awareness (SSA), Conjunction Analysis, Orbit Prediction, Trajectory Forecasting, Autonomous Decision Making, Real-Time Detection, Predictive Modeling, Maneuver Planning, Space Debris Mitigation, Orbital Safety, Low Earth Orbit (LEO),Medium Earth Orbit (MEO),Kessler Syndrome, Space Traffic Management, Satellite Autonomy, Data Fusion, O

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This study focuses on the development of a cost-effective smart solar tracking system aimed at improving the efficiency of photovoltaic (PV) energy harvesting. The system is designed to automatically orient itself toward the sun throughout the day, unlike conventional fixed panels that capture limited sunlight. The design employs Light Dependent Resistors (LDRs) as sensors, an LM393 comparator for signal processing, and a motor driver (L298N) to control the motion of DC gear motors. A small solar panel is used for power generation and tested under varying sunlight conditions. The research follows a descriptive design supported by quantitative analysis, where the tracker's output performance is compared with that of a fixed panel. Findings indicate that the smart tracker enhances energy output significantly, demonstrating its potential for scalable and sustainable applications in renewable energy.

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Solar tracking system, Light Dependent Resistor (LDR), LM393 comparator, L298N motor driver, Renewable energy, Efficiency improvement, Photovoltaic system, Sun tracking, Low-cost automation

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Chola religion and worship

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Chola religion and worship

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In the rapidly evolving corporate landscape of Mysuru, managing human capital through effective performance management and appraisal systems (PMAS) has become a strategic imperative for organizational success. This comprehensive study explores the design, implementation, and perception of PMAS within corporate entities, emphasizing their role in aligning individual performance with organizational goals, fostering continuous improvement, and enhancing employee motivation. The article highlights how modern performance management transcends traditional appraisal methods, incorporating ongoing goal setting, regular feedback, coaching, and data-driven decision-making enabled by digital transformation and HR analytics. The global shift precipitated by the COVID-19 pandemic, which brought remote and hybrid working models to the forefront, has fundamentally changed appraisal dynamics, focusing on output-based evaluation and augmenting the importance of trust, communication, and flexibility. The literature review underscores challenges such as bias, employee engagement, and the need for cultural and contextual adaptation to optimize PMAS effectiveness. Based on survey data from 40 corporate employees, the study reveals that while formal appraisal systems and perceived fairness are prevalent, gaps remain in communicating appraisal objectives clearly, delivering effective feedback, linking appraisals transparently to career progression, and leveraging rewards to motivate staff. The findings advocate for organizations to enhance clarity, feedback quality, and transparency to transform appraisal systems into vital tools for talent development and organizational excellence. The article concludes that successful PMAS necessitate employee involvement, managerial commitment, and continuous adaptation to technological and contextual changes. By fostering alignment, accountability, and motivation, organizations can unlock the full potential of their workforce, ensuring sustained competitive advantage in an increasingly complex global economy. This abstract synthesizes the article's comprehensive research, key themes, and tangible recommendations, offering a precise reflection of the work with a focus on its applicability in contemporary corporate environments. If further specific excerpts or elaborations are desired, please indicate.

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Key words: Performance Management, Performance Appraisal, Employee Performance, Goal Alignment, Performance Development, Organizational Excellence, Digital Transformation, Workforce Optimization, Succession Planning, Coaching and Mentoring, Employee Engagement, Output-Based Evaluation

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????? ????????????? ????????? ?????????? ???????? ????? ?????? ?????????. ??????, ?????? ??? ?????? ????????? ???????? ????????????????? ?????????????????. ????????? ???????????? ???????????? ?????? ??????????????? ???????????? ???????? ???????????? ???????????. ???? ???????, ???? ????????? ????? ????? ????????? ??? ????????????? ???????? ???????? ????????? ?????? ??????????. ????????? ????????? ??????????? ??????????? ????????????????? ???????? ????????? ????????? ?????????? ????????????. "?????????? ????? ??????????? ???????? ??? ?????? ??????"1 ?? ?????????????????? ???????? ?? ????????????????? ?????????????. ?????? ???????? ?????? ???????????, "???? ??????? ??????? ?????? ????????????? ??????????? ???????? ??????"2. ?? ??????????? ?????????. ?????? ???????????? ??????????????? ?????? ????? ????? ????? ???????????? ???????????? ???? ?????????. ???? ??????? ???????????? ???????????? ????????, ?????? ????????????????? ????????? ????????????, ????????????? ??????????? ??????? ??????, ???????, ???????????, ?????????, ??????????? ????? ????????? ??????, ??????, ???????, ??????? ????? ?????????????????? ????????????????????. ???????, ?????? ??????? ?????????????? ?????????????? ????? ?????????????? ?????????????????? ???????????? ?????????? ???????? ??? ?????????. ??????????, ???????? ????????? ????????? ????????????? ????????? ??? ?????????? ??????? ???????????? ?????? ?????. ?????????? ??????, ??????, ????? ???????????? ???????? ??????? ?????????? ??????? ????????? ????????????????????. ???????????? ???????????? ?????? ?????????? ???????? ?????????? ??????????? ???? ????????????????????. ????????? '??.??.????????????, ??????????, ??.??????????,' ????????? ?????????? ??? ????????????????.

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???????????, ???????, ??????????????????, ???????? ?????

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Abstract: Plants are the major biotic components of Biodiversity. They play a key role in supplying living gas and providing nourishment to all living things on this earth in addition to these possessing huge medicinal qualities. Since Rig-Veda, Many plants have been used as medicinal plants in various traditional systems such as Ayurveda, Homeopathy, others. Not only this, several plants are associated with our Indian festivals directly and indirectly. As a priority many plants were included in our fests such as Vinayakachavthi puja, Holi, Dussahra, Pongal, Bathukamma, Mahashivaratri, Telanaganku Bonalu,etc and linked to various Gods and Goddess worships. This tradition has been continued by our ancestors. These plants are described as sacred plants. In view of these plants conservation, our ancestors had a trend to grow these in Holi places and reveal their significance in completion of various worships and pujas. The present article describes that there are 36 plants belongs to various families have been associated to traditional Festivals and Pujas of Gods. All these plants are used as medicinal plants to cure different diseases such as urinary tract infections, Fever, Viral infections, infertility, Digestive problem, diarrhoea, Asthma, Jaundice, kidney infections, Skin diseases, Hormonal imbalance in women's, liver infections, others since long ago. These plants have various properties and these are identified with using Floras, local Floras and Framed in sequence of local Name, Scientific Name, Family, medical values and used in our Fests.

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Keywords: Sacred Plants, Medicinal values, Traditional Hindu festivals.

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This study focuses on understanding consumers preference towards khadi dhotis in Thrissur district, Kerala with special reference to raising interest in traditional and sustainable clothing. Khadi dhotis appeal to both the elderly and youth bridging generations through cultural pride and traditional value. They are comfortable and versatile suitable for daily wear as well as religious, cultural and ceremonial occasions. The researcher highlights the influencing factors design, comfort, price, quality, availability and cultural attachment to purchase khadi dhotis. Consumers preferences are closely associated with the changes in life style, income levels and fashion trends. Modern consumers especially youth combine the tradition with contemporary design, comfort and affordability.

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Key words Khadi dhotis, consumers preference

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Electronic voting systems face challenges such as security vulnerabilities, lack of transparency, and trust deficits. This paper proposes a blockchain-based voting system to address these issues by leveraging the decentralized, immutable, and transparent nature of blockchain technology. The proposed system ensures voter anonymity, vote integrity, and auditability while maintaining scalability. A detailed methodology, including smart contract design and cryptographic techniques, is presented. The system is implemented using Ethereum and evaluated for security, efficiency, and usability. Results demonstrate that the proposed system enhances trust and security in electronic voting. Future enhancements include scalability improvements and integration with biometric authentication.

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Blockchain, Electronic Voting, Smart Contracts, Security, Transparency

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Marketing is functional area of management and it becoming increasingly important as compared to other field, in production management financial, personnel management and research and development. The increasing significance of marketing is the major reason the marketing information, communication, indoor advertising, outdoor advertising, online advertising, e-advertising digital advertising are gained the present pivotal place of importance of advertising in all kinds of goods and services to the brand effects are related to the women readymade garments in Tiruchirapalli city. Traditional mass media channels that comprise channels, television, print media, radio, tex, wall board handwritten information , personal selling (AIDAS), publicity etc are covered to the all consumer in different kinds of good and services. Whereas digital is the buying and selling goods and services using the internet, mobile networks and commerce infrastructure of company. The digital marketing promotional mix is a good conglomeration of digital advertising, personalized selling, and digital promotion through using digital capons, sweep taker, contests, interactive consumer website base on selling, online display advertisements, digital online catalogue distribution and online promotional letta. In this study has been made to attempt the advertising effects on brand preference of women readymade garments traditional marketing and digital marketing in Tiruchirapalli Town.

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Traditional and Digital marketing effects, advertising pattern, Brand preference, factors of influence, Attribute, Information, Perception towards public.

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Ocular drug delivery is one of the most challenging tasks faced by Pharmaceutical researchers. Major barriers in ocular medication are the ability to maintain a therapeutic level of the drug at the site of action for a prolonged duration. The ophthalmic preparations are available as sterile, buffered, isotonic solution. Several types of dosage forms are applied as the delivery system for the ocular delivery of drugs. The most prescribed dosage form is the eye drop solution as drops are easier to administer. Suspensions, gelled systems, ointment are also used for prolonged therapeutic action. Solvent casting technique was used to prepare the ocuserts. Ten formulation were prepared by using propranolol drug, cocos nucifera as biopolymer . The ocuserts were physically examined for colour and various other physical parameters were evaluated. Based on the physical parameters further studies were carried out like stability, invitro release studies. The therapeutic efficacy of an ocular drug can be greatly improved by prolonging its contact with the corneal surface. Newer ocular drug delivery systems are being explored to develop extended duration and controlled release strategy.

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DESIGN AND EVALUTION OF PROPRANOLOL LOADED BIO FLEXI OCUSERT USING CUCUMIS SATIVUS BIOPOLYMER

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This paper examines the shift from traditional Search Engine Optimization (SEO) toward AI-driven optimization models such as Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and Artificial Intelligence Optimization (AIO). With the rise of generative and conversational search technologies like Google SGE and ChatGPT, users now receive synthesized answers instead of browsing search results. The study uses a qualitative literature review and comparative framework to evaluate how these models affect digital marketing strategies, user behavior, and content creation. Findings show that AI-powered engines prioritize semantic accuracy, structured data, and authoritative content. The paper identifies best practices for marketers to adapt in this new search environment.

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SEO, GEO, AEO, AIO, Digital Marketing, AI Search, Generative Search, Content Optimization

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This article provides a comprehensive examination of Cauchy's principle in the context of special and general relativity, tracing its origins from classical partial differential equations to its modern role in the formulation of deterministic spacetime evolution. We review the mathematical structure of the Cauchy problem, including PDE classification, constraint equations, and well-posedness criteria, before applying these concepts to relativistic field theories. In special relativity, the principle manifests in Lorentz-invariant hyperbolic systems, ensuring consistent propagation of initial data across inertial frames. In general relativity, the interplay between the Einstein field equations, foliation techniques, and gauge choices defines a more intricate Cauchy problem, where spacetime geometry itself is a dynamical variable. We analyze the ADM decomposition, constraint propagation, and the implications of local versus global hyperbolicity, emphasizing the physical significance of domains of dependence and Cauchy horizons. The discussion connects these mathematical results to the principles of relativity, determinism, and cosmic censorship, situating Cauchy's principle at the core of modern theoretical physics.

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Cauchy problem; relativity; hyperbolic partial differential equations; initial value formulation; ADM formalism; constraint equations; global hyperbolicity; Cauchy horizons; determinism; cosmic censorship

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Artificial Intelligence (AI) has evolved into a transformative technology capable of analyzing and forecasting human behavior across multiple sectors--ranging from marketing and healthcare to social media, security, and psychology. With access to extensive datasets and powerful learning algorithms, AI systems can recognize behavioral trends, predict future actions, and even personalize responses with remarkable precision. This study reviews the current progress in AI-driven behavior prediction, focusing on methods like neural networks, natural language processing, and behavioral analytics. It also examines their effectiveness, ethical considerations, and limitations. While AI demonstrates high accuracy in certain scenarios, issues related to bias, privacy, model transparency, and human unpredictability continue to restrict absolute precision. The research concludes by discussing future prospects and the importance of maintaining ethical, explainable, and human-centered AI development. Keywords: Artificial Intelligence, Behavioral Prediction, Machine Learning, Neural Networks, Data Privacy, Ethics in AI, NLP, Human-Centric Systems, Algorithmic Bias, Predictive Analytics.

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Artificial Intelligence (AI), Human Behavior Prediction, Machine Learning, Behavioral Analytics, Neural Networks, Data Privacy, Predictive Modeling, Ethics in AI, Natural Language Processing (NLP), Human-Centric AI, Algorithmic Bias, Decision-Making.

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Social media influencer marketing has emerged as a powerful strategy for brands to connect with target audiences through trusted voices in the digital space. By leveraging influencers--individuals with established credibility and substantial followings on platforms such as Instagram, YouTube, TikTok, and X (formerly Twitter)--companies can enhance brand awareness, drive engagement, and influence consumer purchasing behaviour. This marketing approach thrives on authenticity, relatability, and the influencers' ability to create persuasive, niche-specific content. As traditional advertising loses effectiveness among digital-native consumers, influencer marketing provides a more personalized and interactive alternative. However, challenges such as influencer fraud, ethical concerns, and measuring return on investment (ROI) continue to evolve. This study explores the dynamics, benefits, and limitations of influencer marketing in the modern digital ecosystem, highlighting its growing role in shaping brand strategies.

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Relatability, Influencer Marketing, ethical concern

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This paper examines the integration of sustainability within digital marketing, with a focus on identifying and evaluating green marketing strategies in the online environment. It explores how businesses can mitigate the environmental footprint of their digital operations while effectively integrating eco-friendly messaging into digital campaigns. Utilizing a mixed-methods approach combining a consumer survey (n=500) and multiple case studies, this research identifies a significant consumer willingness to reward authentic green strategies and penalize greenwashing. The findings suggest that sustainability in digital marketing is not just a trend but a strategic necessity driven by increasing consumer expectations, regulatory pressures, and the urgent need for environmental preservation. The study concludes that a framework combining technological efficiency, transparent communication, and ethical data practices is essential for credible sustainable digital marketing.

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Sustainability, Digital Marketing, Green Marketing, Online Advertising, Eco-Friendly Strategies, Consumer Awareness, Greenwashing, Carbon Footprint, Stakeholder Theory, Transparency

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This review explores the dual capabilities of Oracle Cloud's BI Publisher and Oracle Transactional Business Intelligence (OTBI), evaluating their roles in enterprise reporting and analytics. As organizations migrate to cloud-native ecosystems, real-time analytics and formatted reporting have become integral to data-driven decision-making. OTBI empowers end-users with self-service analytics while BI Publisher supports pixel-perfect document generation. Through comparative performance studies, user satisfaction surveys, and architectural modeling, this paper reveals the strengths, limitations, and applications of each tool. It further proposes a theoretical framework and experimental insights to assist IT leaders in choosing the appropriate tool based on complexity, data latency needs, and reporting frequency. Future research opportunities include AI-enhanced analytics, cross-platform integration, and adaptive user experience design to address existing gaps in scalability, visualization, and interoperability.

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Oracle Cloud, BI Publisher, OTBI, Business Intelligence, Cloud ERP Reporting, Enterprise Analytics, Real-Time Analytics, Oracle Fusion Applications, Data Visualization, Report Automation.

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Electroconvulsive therapy (ECT) remains an effective yet controversial psychiatric treatment. This study assessed the knowledge and attitude of caregivers of psychotic patients toward ECT and evaluated the effectiveness of psycho education. An evaluative quasi-experimental study was conducted among 80 caregivers (40 IPD and 40 OPD) using a semi-structured questionnaire and Likert scale. Psycho education was provided to the IPD group, and post-test data were collected after seven days. Findings revealed significant improvement in knowledge (t=14.34) and attitude (t=9.49) in the IPD group, while minimal change was observed in the OPD group. The correlation between knowledge and attitude in the IPD group was strong (r=0.81). The study concluded that psycho education effectively improved caregivers' knowledge and attitude regarding ECT.

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Psycho education, Knowledge, Attitude, Electroconvulsive Therapy (ECT), Caregivers, Mentally Ill, Effectiveness.

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