journals

The Presence of Writing Indicators in Geometry Skills: Evaluation of Errors Based on the Newman Procedure

Author(s): Hamidah*, Syamsul Hidayat, Dewi Surani, Jaka Wijaya Kusuma
Volume: 6 Issue: 2 Pages: 44-58
DOI: https://doi.org/10.47857/irjms.2025.v06i02.02631


Abstract This study aims to examine students’ geometry skills after being given learning with the GeoGebra application and evaluate the results of students’ work based on Newman’s procedure after solving geometry skill problems. This study uses quantitative research methods in the first stage to obtain quantitative data. In the second stage, qualitative methods are used […]

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Reliability and Cost Saving Power Plant with Asset Management

Author(s): Iwan Agung Firstantara, Alva Edy Tontowi*, Samsul Kamal, Budi Hartono, Andi Rahadiyan Wijaya
Volume: 6 Issue: 2 Pages: 33-43
DOI: https://doi.org/10.47857/irjms.2025.v06i02.02526


Abstract Through its industry advancement strategy, electric supply stability ranging from electric generation, transmission to its distribution is a paramount. For this, electric power plant with higher reliability and affordable maintenance cost plays an important role. This research was focused on measuring reliability and maintenance cost saving after implementing a conformal asset management (CAM). CAM

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Microbiome Modulation and Machine Learning in Preventing Chronic Obstructive Pulmonary Disease Readmission

Author(s): Monika Antil, Malika Kapoor, Kushal Gupta, Dikscha Sapra, Vibha Gupta*
Volume: 6 Issue: 2 Pages: 21-32
DOI: https://doi.org/10.47857/irjms.2025.v06i02.02594


Abstract Chronic Obstructive Pulmonary Disease (COPD) is among the major global concerns of mortality and morbidity, affecting millions of people worldwide. It is a progressive pulmonary disease including symptoms like chest tightness, wheezing, coughing, and shortness of breath. COPD is a multifactorial respiratory condition influenced by various risk factors. These risk factors include tobacco smoking,

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Integrating Deep Learning in Brain Connectome Mapping: Insights from a Systematic Review

Author(s): Udayakumar P, Subhashini R*
Volume: 6 Issue: 2 Pages: 1-20
DOI: https://doi.org/10.47857/irjms.2025.v06i02.01953


Abstract Deep learning, a subset of artificial intelligence in computer science, has become crucial in understanding the structural and functional connectivity of the human brain connectome. It offers novel insights into the comprehensive probabilistic modeling of the brain. This study aims to provide an overview of various deep learning techniques applied to the human brain

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Pothole Detection in Drivable Area using Deep Learning

Author(s): Chandra S*, K Dubey K, Agarwal G, Chakraborty N
Volume: 6 Issue: 1 Pages: 349-360
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02609


Abstract In today’s world, vehicle traffic is increasing on all types of roads, from single-lane streets to multi-lane highways. This rise in traffic emphasizes the need for improved road safety measures to protect drivers and other road users. Ensuring road structural integrity is essential for preventing accidents caused by road damage, such as potholes, landslides,

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Investigations and Characterization of Extrusion Based Additively Manufactured PEEK for Biomedical Applications

Author(s): Jasvir Singh, Vishal Francis*
Volume: 6 Issue: 1 Pages: 332-348
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02572


Abstract Fabrication of complex geometrical features is the major requirement for various biomedical applications. Due to specific anatomical features of patients, customization is to be provided in short period. The desire for improved biomedical implants is increasing interest in innovative techniques to improve implant functionality, customization, and performance. Additive manufacturing (AM) has shown promise for

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LHPL as Substitute for FBS in Stem Cell Culture by FC

Author(s): Najwa Abdur Rashid, Mary Anne Cordero W, Mary Antony Praba* , Kavitha Ganesh, Raja El Hasnaoui-Saadani , Venkataramaniah, Angeline Julius
Volume: 6 Issue: 1 Pages: 324-331
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02553


Abstract With the advent of regenerative medicine, new methods for treating many incurable diseases might be used to replace damaged, dead, or diseased cells using cell-based methodologies. Mesenchymal stem cells possess immunomodulatory, tissue-protective, and pro-angiogenic properties that make them highly promising for cell-based therapies. Umbilical cord tissue (UCT) is the most common source of mesenchymal

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A Study of Women Oppression and Injustice in Indian Theatre

Author(s): Bharti Sharma, Sarika Tyagi*
Volume: 6 Issue: 1 Pages: 315-323
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02501


Abstract Women in traditional culture and patriarchal society are often perceived as repositories of societal ills. The condition of women in contemporary India has been adversely affected by many forms of injustice and oppression that arise in Indian society. They are outcasts deprived of societal privileges because of them being perceived as the inferior sex.

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A Review on Deep Learning and Traumatic Brain Injury

Author(s): Thilagavathi M*, Varalakshmi M, Shreya Sonawane, Riddhi Panchal, Omm Malhotra, Hardik Bhawnani, Anusha Garg, Prabhuraj AR, Peer Mohideen PU
Volume: 6 Issue: 1 Pages: 274-314
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02497


Abstract Traumatic Brain Injury (TBI) disrupts the brain’s usual functioning and can lead to temporary or permanent neurological defects. Detecting and treating TBI at an early stage can considerably improve the recovery time and avoid serious complications. Doctors rely on medical imaging to diagnose TBIs. As against the manual detection methods which may overlook subtle

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Therapeutic Potential of Bioactive Compounds from Millettia pinnata: Computational and In Vitro Approaches

Author(s): Iadalin Ryntathiang, Yagavel Pooja, Jabir Padathpeedika Khalid, Archana Behera, Madhumitha Murugesan, Monisha Prasad, Mukesh Kumar Dharmalingam Jothinathan*
Volume: 6 Issue: 1 Pages: 263-273
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02494


Abstract Osteosarcoma is a very aggressive malignancy mostly of the long bones, including the arms and legs, and is most common in children and young adults. Defined by the uncontrolled proliferation of immature bone cells, this malignancy can lead to discomfort, edema, and the spread of cancer to distant sites. The objective of this work

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