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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

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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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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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