Volume 12 | Issue 3 |

 Abstract

Background: Hypertension is a growing public health concern linked to cardiovascular disease. Effective management hinges on patients' knowledge about the condition and their adherence to medication. This study assessed these factors in a North Indian tertiary care hospital. Methods: A cross-sectional study recruited 1000 participants (April 2021-October 2022) using systematic random sampling. Validated Morisky questionnaires evaluated knowledge and medication adherence. Data analysis was performed with SPSS software. Results: Among the 1000 participants (520 male, 480 female), 78.3% demonstrated adequate general knowledge of hypertension. However, a concerning knowledge gap existed regarding individual disease status. Notably, 21.7% were unaware of their diagnosis, 33.6% couldn't recall their diagnosis blood pressure, and 73.0% were unaware of their most recent blood pressure reading. Medication adherence was suboptimal, with forgetfulness (32.0%) and disrupted routines (18.0%) cited as primary reasons. Conclusion: This study identified a disconnect between general hypertension knowledge and personal disease understanding. Despite some knowledge, many patients lacked awareness of their diagnosis and blood pressure control. Additionally, medication adherence was low. These findings highlight the need for targeted interventions to address knowledge gaps and adherence barriers, ultimately improving blood pressure control.

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Hypertension, Knowledge, Awareness, Medication Adherence, Blood Pressure Control

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Creative Commons Attribution 4.0 and The Open Definition

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?? ?????? ????? ??? ?? 1724 ?? 1750 ?? ???? ?? ????? ???????? ???? ???, ???????? ??????? ?? ????? ???????? ??? ?????? ?? ??????? ?? ???????? ?? ?????? ????? ??? ?? ??? ?? ?????, ?????? ?? ????? ??? ?? ??????? ????? ?? ?????? ?? ???????? ??? ???? ????????? ?????? ??? ?? ??? ???????? ?? ??? ??? ??????, ????? ?? ????? ???? ?????? ??????? ?? ???????? ?? ??????? ???? ???, ?????? ??????????? ?? ??????? ?? ??????? ?? ??? ????? ?????? ?? ???? ?? ?? ??? ??????? ?? ??????? ?? ????? ????? ???? ???, ????? ?????? ???? ???, ????? ?????-?????? ??????? ?? ??? ???? ????? ?? ???? ???????? ?? ????? ?? ???, ???? ?? ????-????? ??????? ?? ?????? ?????? ?? ????? ???? ?????, ???? ???? ?? ???? ?? ??????? ????? ???? ???? ?????? ?????? ?? ???? ???????? ?? ???? ???? ???? ?? ????? ?????? ?? ????? ???? ??? ?? ?????? ????? ?? ?????? ???? ?? ??? ?? ???? ?? ??? ??? ????? ???? ???? ??????? ????? ?? ??????? ????? ?? ?? ???? ????? ???? ??, ?? ????? ??? ????? ???????? ?? ???????? ?? ???? ???????? ????? ?????? ?????? ?? ????? ?????????? ?? ??? ?? ??????? ????? ???????? ?? ???? ?? ????????? ?? ???? ?? ???? ??? ???? ????????, ?????? ???????? ?? ??????? ?? ?????????? ????????? ?? ??? ????? ??, ?????? ?? ??? ???? ??????? ????? ?? ??? ???? ??? ?? ????????, ?????????, ???????, ???? ?? ????? ???? ??????? ???????? ????????? ??? ?????? ?? ???????? ?? ???? ???? ??, ?? ???? ?? ???????? ???? ???? ???? ????????, ???????? ?? ????? ???????? ?? ????? ???? ?? ?? ???????? ??? ????? ??????? ?? ?????? ??? ??? ?????? ???? ???

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????? ???????, ????????, ??????? ?????, ??????-????? ?????, ????-????? ?????, ?????, ?????? ????, ??????? ?????, ????????, ?????????, ???????, ???? ?? ?????

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Creative Commons Attribution 4.0 and The Open Definition

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??????? ??????? ???? ?????? ?? ???????? ?? ????? ?? ????? ??? ?????? ???????? ?? ?????? ?? ??? ??? ???? ??? ?????? ???????, ?????? ??? ???????? ?????????? ?? ??????? ?? ?????? ?????? ???? ???? ?? ???? ?????? ???????? ?? ????? ??? ????? ??? ?? ???? ?? ????? ???? ??? ??????? ???? ??? ?????????? ??? ???? ?????? ?????????? ?? ???????????? ???????? ?? ??????? ???? ??? ?????? ?? ??????? ?????? ?? ????? ??? ???????? ????????? ??? ???? ?? ???????? ?? ??? ?? ?????? ?? ????? ????? ?? ???????? ??, ?? ????? ?????? ?? ??? ???, ?? ???? ??? ??? ????? ???????, ?????? ??? ?????????? ????? ?? ????????? ??, ????? ????? ???? ????????? ???????? ?? ??? ?????? ?? ???? ?? ????? ???????? ?? ???? ????? ??????? ??????? ??? ???? ???? ?? ?????????? ?? ?????? ?? ???? ??????? ??????? ?????? 2015 ??? '??? ????? ??????' ?? '?????? 2030' ?? ??? ?? ??? ????????? ?? ?????? ??????? ?????? ????????? ??? ??? ????? ?????? ?? ??? ?? ?? ?? ??? ????? ?? ????? ?????? ???????? ?? ????? ?????? ?? ??? ??? ???? ??? ??????????, ???????, ??????????, ???? ????? ??? ????????, ??????? ??? ????? ????????? ??? ???????? ?? ????????? ????????? ????? ?? ???????????? ??????? ??????? ????? ??? ?????? ???????? ?? ????????? ??????????? ????? ??? ??? ???????, ????? ??????? ??? ???????, ?????????, ?????? ?????????, ???? ??? ???? ????????? ?? ???? ?????? ?? ???????? ???? ??? ?? ?? ??? ????? ?????? ?? ????? ??????? ???? ???? ??? ????? ???????? ?? ???????? ???????? ????? ?? ??? ?? ?????? ?????? ?? ??? ??? ???????? ??????, ???????? ?? ??????, ??????? ???????? ?? ???????? ???, ???????-?????? ??????? ??? ?????? ???? ?? ???? ???????? ??? ??????? ???? ?????? ???????? ?? ???? ??????? ???? ??? ??? ??? ????? ???????? ?? ???????? ???????? ????? ?? ???? ??? ??????????? ????? ?????? ???????? ??? ?????? ??? ????? ?? ??? ???? ??, ?? ????????? ?????? ?????? ???????? ?? ?????? ??? ??? ????? ???? ???? ??? ???? ?? ???? ???? ?? ????? ???????? ?????? ?? ?????? ???????? ???-???? '?????? ???????? ??? ??? ?????- ???????? ????? ?? ??? ??????,' ??? ?? ?? ???

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Creative Commons Attribution 4.0 and The Open Definition

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????? ?????- ?????? ????????, ??? ?????, ???????? ??????? , ???, ??????? ?

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Creative Commons Attribution 4.0 and The Open Definition

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This comparative study examines risk and return dynamics in the pharmaceutical sector, assessing financial metrics, market trends, and regulatory landscapes. By focusing on publicly traded companies across various segments, it aims to provide insights for investors and policymakers to understand risk profiles and inform decision-making. Utilizing quantitative analysis techniques and historical data, the study seeks to offer a comprehensive evaluation of risk-return trade-offs and their implications for stakeholders in the pharmaceutical industry.

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Creative Commons Attribution 4.0 and The Open Definition

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Risk and Return, Pharma Sector and Beta.

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Creative Commons Attribution 4.0 and The Open Definition

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This study examines into the intricate tapestry of colonial travel narratives, meticulously unraveling the intricacies of the politics of representation interwoven within. The primary objective is to discern the intricate ways in which power dynamics, biases, and cultural preconceptions find expression and perpetuation through the art of representation. Employing a rigorous examination of a diverse array of textual and visual narratives from the imperial period, the study meticulously dissects the types and tropes used in these accounts. Through this methodical exploration, the research adeptly navigates the complex terrain of colonial perspectives, shedding light on the foundational socio-political dynamics that shape and influence the composition of these narratives. Ultimately, the paper aspires to advance our understanding of the broader implications of representation within the context of colonial encounters and its enduring impact on the narrative fabric of history.

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Creative Commons Attribution 4.0 and The Open Definition

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Travel Narratives, Unraveling, Power Dynamics, Colonial Encounters

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Creative Commons Attribution 4.0 and The Open Definition

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The perspective of higher education is undergoing a profound transformation driven by the convergence of information technology (IT) and artificial intelligence (AI). This paper digs into the multifaceted applications of these technologies, analyzing their potential to revolutionize teaching, learning, and research practices. We explore how IT and AI can personalize learning experiences, enhance accessibility, promote deeper engagement, and foster innovative research methodologies. Additionally, we address the challenges associated with their integration, including ethical considerations, data privacy concerns, and the need for faculty development.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence, Information Technology, Personalized Learning, Higher Education

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Background of the study: During the past decades musculoskeletal disorders have been progressively common throughout the world. It is the one of the most common work related complication in working individual. Due to inactive and tiring lifestyle; there is a constant increase in severity, frequency and intensity of pain in neck that may cause stiffness and tension on areas of neck. Musculoskeletal complaints regarding neck region are extensively present in sewing machine workers. As this profession involves highly monotonous, repetitive work in sitting position with bent neck and upper part of back curved on the sewing machine for longer duration. This kind of effort requires greater concentration and precision.1 Aim of the study: To evaluate the effectiveness of isometric neck exercises among self employed sewing machine operators Methodology: The design selected for the study was pre experimental one group pretest - posttest design. 40 self employed sewing machine operators are selected by using non probability sampling technique (Convenient & purposive sampling). Knowledge was assessed through a pretested semi-structured questionnaire. ; Visual Analogue Scale for assessment of neck pain. Results: Present study revealed, majority 15(37.5%) of the self employed sewing machine operators were in the age groups 21-25 years and very few 4(10.0%) were in the age groups of 31-35 years, majority 22(55.0%) of the self employed sewing machine operators were males and 18(45.0%) were female, majority 28(70.0%) of the self employed sewing machine operators were married and remaining 12(30.0%) were singles, majority 26(65.0%) of the self employed sewing machine operators were belongs to the nuclear family and remaining 14(35.0%) were belongs to the joint family, majority 14(35.0%) of the self employed sewing machine operators had income between Rs11000-15000 and remaining 7(17.5%) had income between Rs5000-10,000, majority 14(35.0%) of the self employed sewing machine operators had work experience between 2-3 years and very few 6(15.0%) had work experience between 4-5 years, majority 29(72.5%) of the self employed sewing machine operators working 4-5 hours/day and very few 4(10.0%) working 2-3 hours/day, majority 30(75.0%) of the self employed sewing machine operators had not utilized rest hours and remaining 10(25.0%) had utilized rest hours, it was seen that out of 40 self employed sewing machine operators, majority 28(70.0%) had mild neck pain, followed by 7(17.5%) had moderate pain, very few 5(12.5%) had severe neck pain and there were no sewing machine operators with NO Pain. It was revealed that there was no association between neck pain of Self Employed Sewing Machine Operators with selected demographic variable such as utilization of rest hours, but pain score was highly associated with Age, gender, marital status, types of family, family income, work experience and working/day with chi-square p-value less than 0.0001. Conclusion: It was concluded that isometric neck exercise was highly effective in reducing pain among the self employed sewing machine operators.

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Key Words: Isometric Neck Exercises, Neck Pain, Self Employed Sewing Machine Operators

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Tonk

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Creative Commons Attribution 4.0 and The Open Definition

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With applications ranging from playlist creation and music recommendation to content-based music retrieval, music genre categorization is a crucial task in the field of music information retrieval. This review article offers a thorough analysis of the most recent approaches, difficulties, and trends in music genre classification. We examine several approaches, such as audio-based and lyrics-based approaches, hybrid models that incorporate multiple modalities, and features utilized for automatic genre classification. The study analyzes how music genre classification has changed over time, moving from manual feature extraction and genre taxonomy, two old methodologies, to more recent advancements in deep learning and neural networkbased techniques. We investigate the effects of massive music datasets and data augmentation methods on the effectiveness of genre classifiers. Furthermore, we discuss the evaluation of classification models, including widely used metrics and benchmark datasets. Cross-genre classification, fine-grained genre classification, and the incorporation of cultural and contextual aspects into the categorization process are just a few of the difficulties and open research problems in the discipline that are discussed. We also stress how important it is for users to trust and accept music genre classification models, which is essential for implementation in real-world applications. The study also discusses how music genre classification can be used in realworld contexts in fields like music streaming, recommendation engines, and music analysis. Last but not least, it provides information about possible future prospects for study in this field, including making use of cutting-edge tools like neural network search, federated learning, and the incorporation of user feedback for customized genre classification. With the goal of illuminating the most recent developments and the difficulties that still remain in the effort to more fully comprehend and automate the classification of musical genres, this study promises to be an invaluable resource for researchers, practitioners, and amateurs interested in music genre classification.

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Creative Commons Attribution 4.0 and The Open Definition

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audio classification, feature extraction, musical genre classification, music information retrieval, artificial neural network, MFCC, multiplayer perceptron, spectrogram.

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Creative Commons Attribution 4.0 and The Open Definition

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Creation or deconstruction of literature is a great challenge for a writer. The review of the past in the contemporary context or the new one in the context of the past, analysis, Values or re-examination of values probably not only makes the quality of literature excellent, but also makes the reader concuss. Through deconstruction, a parallel linear formula is developed with the present, in which the multidimensionality of meaning is inserted. In the 19th century or earlier, there were many changes in people's thinking and consciousness, but people were hit by two consecutive world wars by which brought a radical change in the world of thought. In that sense the 20th century is the pasture of theoretical analysis. French Philosopher Jacques Derrida was one of its main pioneers. His mind and philosophical analysis extended postmodern philosophy in a different direction. Even today, the trend of divergent views and analysis of literature continues. Dr. Tapodhir Bhattacharya is an eminent discussant and pioneer of the Binirman theory in Bengali literature. In the proposed article there will be discussed about writer Selina Hossain's' most discussed novel 'Neel Mayurer Jouban' which is a search for roots of a race. Not only that re-evaluation of values, had transplantation of present in the older ones reflected.

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Creative Commons Attribution 4.0 and The Open Definition

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construction, deconstruction, contemporary, context, values, ultidimensionality, revisionism, symbolic, parallel, linear, and representative.

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Creative Commons Attribution 4.0 and The Open Definition