Volume 12 | Issue 3 |

 Abstract

This project, delves into the world of literature, focusing on the dynamic relationship between authors, genres, and readers. By harnessing social and information network analysis techniques, the project seeks to uncover intricate connections within the literary landscape. In this project a comprehensive Book-dataset is analyzed to uncover the relationships between authors, genres, and reader preferences. It starts with data collection and preprocessing, followed by the construction of a bipartite network that links authors to genres based on their literary works. Through advanced analytics, the project identifies author-genre associations and genre-based author communities. The culmination of this effort is a robust recommendation system that suggests books to readers based on the communities formed. This project impacts both authors and genres by helping them reach their target audiences more effectively. Authors benefit from increased visibility within their specialized genres, while genres themselves thrive with enhanced readership. For readers, it means discovering books that align with their interests and exploring new authors within the same genre. I further envision these well-defined author-genre communities influencing book searches on search engines, recommendations on e-commerce platforms, and advertisements on social media.

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literature networks, bipartite network analysis, author-genre associations, recommendation system, genre-based communities, reader preferences

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Creative Commons Attribution 4.0 and The Open Definition

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Among the direct energy deposition methods, one of the most energy-efficient is the wire and arc additive manufacturing (WAAM) technique based on metal inert gas welding (MIG-WAAM). The MIG-WAAM technique uses wire and arc to deposit a material layer by layer. The temperature distribution during layer-by-layer deposition in the wire arc additive manufacturing (WAAM) method is influenced by the route planning in the metal deposition process. The quality of the metal deposition and its dimensional precision are influenced by temperature distribution. This study represents the development of a Finite Element Analysis (FEA) based model for the MIG-WAAM process to analyze the impact of temperature distribution on the metal deposition process. Using the MIG-WAAM technique, the proposed model has been utilized to simulate metal deposition of SS304L multilayer rectangular box structures on mild steel substrates. The distribution of temperatures across the material that has been deposited has been observed. The findings demonstrated that temperature concentrations occur at every step in the deposition process, potentially resulting in a decline in deposition quality. To enable smoother and higher-quality metal deposition, the established model may be further utilized to construct a feedback-based temperature control system.

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MIG, WAAM, Finite Element Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Background of the study: Cancer is a leading cause of death in the United States and worldwide. Cancer screening tests discover cancer at early stages, even before symptoms appear. When abnormal tissues or a malignant mass is found early, treatment and cure rates are improved. AIM: A present investigation was to assess the level of knowledge and perception towards prevention and early detection of cancer among Adult population in rural area. Materials and methods: 300 adult were selected making by random sampling technique. Data were analyzed by using descriptive and inferential statistical methods. Result: The study result shows that among adult, majority 146(48.7%) of adult population were in the age groups 41-50 years and very few 49(16.3%) were in the age groups of 31-40 years, majority 212(70.7%) of study participant were married and very few 88(29.3%) were singles, majority 140(46.7%) of the sample were studied secondary school and very few 77(25.7%) were studied primary school, majority 171(57.0%) of adult were civil servant and very few 30(10.0%) were doing others, majority 281(53.6%) of the participants were not working in health sector and very few 19(3.6%) were working in health sectors, majority 219(73.0%) had no chronic health problems and remaining 81(27.0%) had chronic health problems, majority 266(88.7%) of the adults had inadequate knowledge towards prevention and early detection of cancer, 34(11.3%) had moderately adequate knowledge and there were no adults with adequate knowledge. The study shows that there was no correlation between knowledge and perception towards prevention and early detection of cancer among adult and there was no association between knowledge score with selected demographic variables among study participants such as age, gender, marital status, education, occupation, area of work, working in health sector, family history, and chronic health problems. Conclusion: In this study, the research scholar concluded that there was no correlation between knowledge and perception towards prevention and early detection of cancer among adult.

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Key Words: Knowledge, Perception, Cancer, Prevention, Detection

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This study compares the water quality and species richness between the partially polluted Devapur Minor project and the non-polluted Nandigama Minor project. Water quality parameters such as pH and Total Dissolved Solids (TDS) were analyzed alongside species richness to assess the ecological health of these projects. The pH levels in both projects remained within acceptable ranges for aquatic life, with minor fluctuations observed. However, the TDS levels showed variations between the projects, with Devapur exhibiting higher TDS values compared to Nandigama. Species richness data were not provided in the provided information. Continuous monitoring and management practices are recommended to maintain optimal water quality for the well-being of aquatic ecosystems in both projects.

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PH meter, TDS Meter, Water sample, Camera, DO method birds observation, Devapur Minor project, Nandigama Minor project, water quality, species richness, pH, Total Dissolved Solids, ecological health, monitoring, management. practices.t

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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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Creative Commons Attribution 4.0 and The Open Definition

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

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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