journals

Public Awareness on General Environmental and Sustainability Issues

Author(s): Donald Sambuaga*, Tinneke Evie Meggy Sumual, Orbanus Naharia, Victory NJ Rotty
Volume: 5 Issue: 4 Pages: 579-591
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01809


Abstract Indonesia is situated within the ‘ring of fire’, a region characterised by a high risk of natural disasters, which encompasses a number of Indonesian cities, including Manado City. While numerous studies have examined postdisaster mitigation strategies, there is a paucity of research evaluating disaster prevention efforts, particularly in Indonesia and Manado City. This research […]

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Optimization of Physical Parameters of Fermentation Medium for Biosynthesis of Alginate by A. vinelandii Using Molasses as ‘C’ Source

Author(s): Zarina Shaikh1*, Mohd Shakir2
Volume: 5 Issue: 4 Pages: 1495-1503
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01854


Abstract Biopolymer have varied industrial applications. Alginate is one such polymer conventionally extracted from brown algae of marine waters having versatile applications. Due to its increased market demand alternative options are being investigated for its synthesis from microbes. The present study focuses on the optimization of various physical parameters at flask level. Fermentation medium consisted

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Time Ahead Inclinations in Sustainable Supply Chain Management using Artificial Intelligence: A Bibliometric Approach

Author(s): Tushar Ranjan Sahoo1, Shivani Guru1*, Bishwajit Rout2, Bhanu Prasad Behera3
Volume: 5 Issue: 4 Pages: 1482-1494
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01849


Abstract Sustainable Supply Chain Management [SSCM] focuses on integrating environmentally sustainable practices into supply chains to balance economic growth with environmental care and social responsibility. The adoption of Artificial Intelligence [AI] in SSCM is revolutionizing supply chain operations by offering new opportunities for efficiency, transparency, and sustainability. The research paper is basically done to find

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Maternal Outcome of Pregnancy with New onset Stage 1 Hypertension (ACC) after 20 Weeks of Gestation

Author(s): Prerna Chhabra*, Tapan Pattnaik, Rachita Pravalina, Ritu Priya Chaudhury
Volume: 5 Issue: 4 Pages: 1476-1481
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01847


Abstract In 2017, “The American College of Cardiology and the American Heart Association” introduced a new, lower threshold for diagnosing hypertension, which did not include pregnant women. This study examines the outcomes for normotensive pregnant women in comparison to those with new-onset hypertension, defined as systolic blood pressure (SBP) between 130–139 mm Hg and diastolic

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Moringa oleifera Leaves: A Proficient Biosynthetic Source of Myriad Nanoparticles Pertaining Biomedical Importance

Author(s): Tahsin Bennur*, Nutan Bankar#, Mohammed Saif#, Insha Suleman
Volume: 5 Issue: 4 Pages: 1462-1475
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01846


Abstract The advent of nanotechnology has blurred the boundaries between various fields. Development of newer, efficient, and sustainable approaches for nanomaterial synthesis has become the primary focus of research in recent years. The utilization of biological molecules as matrices for nanoparticle synthesis is increasing, with bacteria, fungi, plants, agrowaste, being common choices. Among them plant

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Identifying Learning Difficulties at an Early Stage in Education with the Help of Artificial Intelligence Models and Predictive Analytics

Author(s): Mahisha Babu J*, Anita Virgin B, Meshach RS Edwin, Gokula Priya P Kathiravan Ravichandran
Volume: 5 Issue: 4 Pages: 1455-1461
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01821


Abstract This empirical study explores the transformative potential of integrating artificial intelligence and predictive analysis to proactively identify learning challenges in the dynamic field of education. Through the utilization of diverse data sources, advanced machine learning algorithms, and an iterative methodology to construct predictive models, the study follows a rigorous technical approach. The study underscores

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Detection of Metabolic Gene of Interest (MGOI) in WGS of Microbacterium barkeri (LMA4)

Author(s): Krishna Kumar Das, Smaranika Pattnaik*
Volume: 5 Issue: 4 Pages: 1439-1454
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01815


Abstract This communication reports about detection of metabolically active genes of interest cell free extract of actinomycetal isolates from Pond soil. The strain LMA4 previously identified as Microbacterium barkeri, based on biotyping as well as 16 s r RNA sequencing, was observed with moderate bioactivity against test strains of Staphylococcus aureus and Escherichia coli. The

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Motor Control Exercises: Effects on Sciatic Nerve Mechanical Sensitivity, Erector Spinae and Quadratus Lumborum Muscle Thickness, and Abdominal Endurance in Patients with Lumbar Radiculopathy

Author(s): Pious Divya, Siddhartha Sen*, Snigdha Tiwari
Volume: 5 Issue: 4 Pages: 1430-1438
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01788


Abstract Lumbar radiculopathy refers to irritation or compression of spinal nerve roots in the lower back. This condition produces discomfort, weakness, numbness, or tingling that spreads from the lower back to the buttocks, thighs, and sometimes the legs and foot. The study aims to evaluate the effectiveness of motor control exercises on sciatic nerve mechanical

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Augmented Targeted Training to Improve Balance in Diabetic Neuropathy Patients

Author(s): Thenmozhi M, Rajarajeswari A*
Volume: 5 Issue: 4 Pages: 1423-1429
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01778


Abstract Due to its high rates of morbidity, disability and death, diabetes mellitus with its long-term consequences is regarded as a public global health issue. In any specific period, between 12 and 50 percent of people with diabetes suffer with diabetic peripheral neuropathy (DPN). Motor nerve disorders and a loss of proprioception lead to impaired

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Exploring the Mediating Role of Financial Risk Tolerance between Heuristic Biases and Working Women Investors’ Investment Decisions

Author(s): Harshita Srivastava*, Sana Moid, Naela Jamal Rushdi
Volume: 5 Issue: 4 Pages: 1412-1422
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01742


Abstract The increasing financial independence of working women has contributed to their growing interest in investment to enhance their wealth. Working women investors are prone to psychological biases and have a conservative approach to risk, which can affect their investment decisions (ID). The study explores the role of financial risk tolerance (FRT) as a mediator

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