journals

LSTM with WSEQ-GAN for Cancer Prediction using DNA Sequence Data

Author(s): Ravindran U, Gunavathi C*
Volume: 5 Issue: 4 Pages: 1034-1046
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01595


Abstract Deoxyribonucleic (DNA) sequence categorization is a significant task in a generic computational setting for biomedical data processing. The sequence information contains the genome information it can retrieve from human chromosome cells. The gene information in the DNA sequence is used to predict the disease, especially cancer diagnosis and therapy. The class samples in the […]

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A Study on Segment Reporting Practices on Select Power Sectors in India

Author(s): Gayatri Guha Roy*, Artta Bandhu Jena, Rajaram Majhi
Volume: 5 Issue: 4 Pages: 1025-1033
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01592


Abstract Segment reporting is the process of disclosing details about a company’s core clients, overseas operations and export sales, and operations across several industries. A company that reports in segments gives stakeholders access to more information and enhances the Calibre of decisions they make. Analysts and other financial statement users feel that segment information is

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Do Household Attributes Motivate Outmigration in Rural Areas? Evidence from Bodoland Territorial Region in the State of Assam, India

Author(s): Sanjit Muchahary*, NB Singh
Volume: 5 Issue: 4 Pages: 1014-1024
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01584


Abstract This paper investigates how the attributes of a household such as socioeconomic, demographic and institutional access shape outmigration decisions of family members in a rural economic setting. We used primary data from householdlevel interviews ( = 400) conducted at two community development blocks in each of four districts of Bodoland Territorial Region (BTR), an

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Cost-Effective and Cost-Minimisation Analysis of AntiEpileptic Drugs in Migraine Patients at a Tertiary Care Hospital in Bhubaneswar

Author(s): Santosh Kumar Nayak*, Puspalata Singh, Akhila Kumar Panda, Tapaswini Mishra, Pratap Kumar Sahu
Volume: 5 Issue: 4 Pages: 1006-1013
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01582


Abstract Migraine is an enigmatic neurological condition impacting 1 billion individuals globally, including over 213 million people in India. The present study is undertaken to study the drug utilization pattern and to find the most costeffective drug in migraine management. In this study 42.1% patients were diagnosed with migraine without aura and the significant burden

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A COVID-19 Prediction Using a Blockchain Approach Integrated With UV-NET for Urban Management

Author(s): I Sumaiya Thaseen*, Vanitha M, Deepa M, Angulakshmi M, Anand Mahendran
Volume: 5 Issue: 4 Pages: 991-1005
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01560


Abstract Growing cities contributed to the increase in the COVID-19 virus. Consequently, many researchers are exploring the dynamics of the pandemic and to analyse the impacts of pandemic on such cities. The main aim of this research is to understand impacts of the pandemic in Vellore city, Tamil Nadu, India by building a viable solution

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Design and Fabrication of L and U Slot Wearable Antennas for Wireless Body Area Network Applications

Author(s): Mahendrakumar Subramaniam*, Gokul Chandrasekaran, Jayachandran T, Malathi SR, Neelam Sanjeev Kumar, Vanitha Krishnan
Volume: 5 Issue: 4 Pages: 969-990
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01536


Abstract Wearable microstrip patch antennas are compact, low-profile antennas designed for integration into wearable devices, offering wireless communication capabilities. Wireless body area networks (WBANs) are a promising technology with potential applications in a variety of biomedical fields. Patient surveillance, healthcare monitoring, and medical diagnostics are a few examples. The Specific Absorption Rate (SAR) in close

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The Burden of Hypertensive Disorders of Pregnancy (HDP) on Perinatal Outcome and Caesarean Delivery at Tertiary Care Hospital, Bhubaneswar- a Prospective Correlational Study

Author(s): Madhusmita Nayak*, Pravati Tripathy, Prasanta Kumar Nayak, Debajani Nayak
Volume: 5 Issue: 4 Pages: 960-968
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01535


Abstract HDPs are a major concern for mother and child challenging the advanced medical facility due to Increased maternal and newborn mortality with high incidences of cesarean delivery. A prospective observation was conducted using correlational model to investigate the impact of HDP on both maternal and neonatal outcome and the rate of cesarean section among

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An Assessment on Land Suitability for Rice Cultivation Using Analytical Hierarchy Process in the Sivasagar District of Assam, India

Author(s): Bhagya Das*
Volume: 5 Issue: 4 Pages: 942-959
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01517


Abstract The appropriateness of agricultural land necessitates regular accurate assessment and evaluation of fertility. Land Suitability Analysis (LSA) is one of the accurate evaluations to maintain & monitoring quality of the agricultural land. It is a necessary procedure to investigate the site suitability for any agricultural purpose. This study evaluates the land quality and rice

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Are Women Poorer? Empirical Insights from Rural Odisha

Author(s): Surya Narayan Biswal, Santosh Kumar Mishra*, Minaketan Sarangi
Volume: 5 Issue: 4 Pages: 925-941
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01500


Abstract The present study assesses the status and determinants of multidimensional poverty in eight blocks of Jagatsinghpur district. Five socio-economic dimensions comprising fifteen indicators have been considered to construct the Multidimensional Poverty Index, using the Alkire-Foster Method at the individual level. Assessment of multidimensional poverty at the block level and for women for the first

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Enhancing Stock Market Predictions with Social Media Sentiment and Multi- Headed Attention Mechanisms

Author(s): Vijaya Ahire*, Swati Borase
Volume: 5 Issue: 4 Pages: 912-924
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01491


Abstract Accurate forecasting of stock market trends is crucial for investors and financial analysts, as it enables informed decision-making and risk management. Our research introduces SentiStockPredictor, a novel framework that integrates sentiment analysis with historical stock price data to predict market movements with high precision. By leveraging a Transformer-based model, specifically DistilBERT, our approach processes

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