Volume 13 | Issue 10 |

 Abstract

Hypertension is common among patients receiving hemodialysis and significantly contributes to their risk of cardiovascular complication and mortality. Managing blood pressure in these patients is challenging due to changes in drug metabolism, fluid shifts, and coexisting medical conditions. This review examines current evidence on how antihypertensive medications are prescribed in this population, highlighting the most frequently used drug classes, factors influencing prescription choices, and opportunities for improvement. Calcium channel blockers, beta-blockers, and agents targeting the renin-angiotensin system are commonly utilized, though practices vary globally. Better understanding of these patterns can enhance treatment strategies and patient outcomes.

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 Keywords

Antihypertensive drug, Hemodialysis Patients.

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 Abstract

Adherence to antihypertensive medications is essential for patients undergoing hemodialysis to prevent cardiovascular complications and maintain stable blood pressure. However, adherence is often poor due to complex medication schedules, dialysis-related fatigue, and lack of counseling. Supported by Patient Information Leaflets (PILs), adherence can improve by providing personalized education, clarifying doubts, and reinforcing medication instructions. This review explores how structured counseling combined with written information can empower patients, reduce medication errors, and promote consistent adherence. Challenges such as low literacy, psychological stress, and system-level limitations are also discussed, along with strategies to effectively integrate counseling and PILs into routine dialysis care.

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 Keywords

Hypertension, Hemodialysis, Patient Counselling, Patient Information Leaflet (PILs)

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In the era of Artificial Intelligence, voice assistants have become an integral part of human computer interaction. This paper presents AURA AI, an advanced voice assistant system developed using Python and OpenAI's GPT model, designed to provide natural and intelligent conversational experiences. The system integrates speech recognition, natural language understanding, and text-to-speech technologies to enable seamless interaction between humans and machines. Unlike traditional assistants with limited pre-defined responses, AURA AI leverages the power of Generative AI to deliver context-aware, human like conversations and perform multiple tasks such as web search, automation, and real-time information retrieval.

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Artificial Intelligence, Voice Assistant, Python, GPT, Speech Recognition, Natural Language Processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Glaucoma, Ocular Hypertension, Mitochondrial Dysfunction, Fundus Perimetry Fluorescence, Non-invasive Imaging, Oxidative Stress.

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Munnar region of Kerala popularly known as 'Kashmir of South' well known for its green vegetation, scenic beauty and pleasant climate. The location of the region is away from the busy cities. It attracts a lot of tourist from different parts of the country and also from abroad. The major tourism activities of the region are exploring the tea plantations, visiting the agricultural farms, visiting the tea museum, trekking, boating and enjoying the beauty of waterfalls. The winter season vegetable farms are the major source of income for the farmers of the region. They can raise an additional source of income by integrating tourism in to their farms without making much additional investment. Local community of the region is also benefited from the farm tourism activities in the locality, as it provides employment, income and reduce the need for migration. This paper aims to explore the economic impact of farm tourism on the local communities in Munnar.

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Farm tourism, Economic impact, Employment, Local community, Farms.

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The Partition of 1947 was more than a geopolitical event; it was a profound human tragedy that scarred the psyche of the Indian subcontinent. It displaced millions and shattered a centuries-old composite culture, leaving a legacy of trauma that continues to echo through generations. This paper explores the reflection of this tragedy in the writings of Quratul-Ain-Haider, an Urdu writer of unparalleled vision. Through a sociological and cultural analysis, particularly of her epic novel River of Fire, this study argues that Haider's work transcends the immediate horror of Partition by contextualising it within a vast historical panorama spanning two millennia. She maps the flow of a syncretic culture to understand its violent rupture, while simultaneously offering a sharp feminist critique of the patriarchal structures that intensified during the crisis. Her writing is not merely a record of events but a philosophical exploration of identity, belonging, and the enduring power of cultural memory against the forces of political division.

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Partition, Trauma, Composite Culture, Feminism, Postcolonialism, Quratul-Ain- Haider, River of Fire, Sociology, Identity, Migration, Memory.

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Contribution of the Senia Gharana: A Historical Overview

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Contribution of the Senia Gharana: A Historical Overview

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Abstract Background : Arthritis affects one or multiple joints characterized by inflammation, pain and stiffness. Two most common types of arthritis are osteoarthritis and rheumatoid arthritis. Osteoarthritis is a degenerative disease of the joints Rheumatoid Arthritis is an autoimmune disease causing inflammation in the joints. Objective of the study was to evaluate the effect of nurse led interventions on knowledge of patients with Rheumatoid Arthritis. Methods: Quasi-experimental non-equivalent time series design was used in the study. The sample consisted of 106 patients who are diagnosed as Rheumatoid Arthritis who are recruited by purposive sampling technique. Results: There was statistically significant difference in the mean pre-test and post-tests scores of knowledge among patients with rheumatoid arthritis in the intervention group (p < 0.001) Conclusions: Study concluded that the nurse led interventions were effective in enhancing the knowledge of patients with Rheumatoid arthritis.

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Keywords: Effect, Nurse led interventions, Knowledge and Rheumatoid arthritis

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A Quantitative research approach, descriptive study was conducted to assess the level of knowledge on benefits of Amla among adolescent girls in St. Antony's Matriculation Higher Secondary School at Kumbakonam in Thanjavur (DT). The Purposive sampling technique was used. Data collected by structured questionnaire from 50 samples. The results showed that 50% of them had moderately adequate knowledge, 26% of them inadequate knowledge and 24% of them having adequate knowledge.

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Knowledge, Benefits of Amla, Adolescent Girls

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This research paper investigates the dynamic relationship between stock returns, trading volume, and volatility in the Indian stock market, with a focus on the Nifty 50 index from 2018 to 2023. Employing advanced econometric models such as quantile regression and Granger causality tests, the study explores how changes in stock returns influence trading volumes and volatility, and vice versa. Findings reveal an asymmetric effect where negative returns significantly increase volatility, while positive returns tend to elevate trading volume. The study further highlights a unidirectional causality from implied volatility to stock returns, suggesting that volatility indexes can serve as effective hedging tools for investors. These insights contribute to understanding market microstructure and can assist investors in making informed decisions by anticipating market fluctuations and managing risk effectively.

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Indian stock market, stock returns, trading volume, volatility, Nifty 50, quantile regression, Granger causality, market microstructure, implied volatility, risk management.

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Creative Commons Attribution 4.0 and The Open Definition