journals

Applications of Fractal Geometry in Geosciences: A Literature Review

Author(s): Abderrahim Ayad *
Volume: 6 Issue: 1 Pages: 1472-1485
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02581


Abstract Fractal geometry has rehabilitated a scientific field hitherto little explored by researchers, which is the study of natural or artificial irregular objects and structures, which have long been considered mathematical monstrosities. The study of these objects and structures using classical geometrical approaches and usual Euclidian geometry tools cannot be effectively done due to their […]

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Legal Problems of Article VI of The Jordanian Administrative Justice Law Concerning Formal Conditions for Suspending the Execution of Administrative Decisions: Comparative Study

Author(s): Saleem Asouli*, Ziad Al Wahshat, Talal Aleissa, Mohammad Al-Freihat, Ahmad Al-Sarayrah, Emad Alfreihat
Volume: 6 Issue: 1 Pages: 1463-1471
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02573


Abstract This study aimed to achieve a balance between the rights of individuals that may be wasted by the implementation of the decision and the objective of activating the administrative work, for which the principle of non-stance effect of the appeal against annulment is determined, it has been decided to suspend implementation as an exception

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Development of Comic Character as a Media to Foster Caring and Responsibility for Children

Author(s): Lea Christina Br Ginting*, Faisal Sadam Murron, Andhin Dyas Fitriani, Rosiana Mufliva, Evi Rahmawati, Mubarok Somantri
Volume: 6 Issue: 1 Pages: 1451-1462
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02470


Abstract A significant issue is the limited availability of educational media that can effectively nurture children’s character traits, particularly caring and responsibility. This study developed a comic-based learning medium aimed at fostering caring and responsibility in children aged 9–12 years. Using a Research and Development approach with nine stages, the comic titled ‘Si Ame dan

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An Impact of Aerobic Exercises and Yoga Practices on Physical Fitness with Psychosocial Well-Being among College Women: A Statistical Analysis

Author(s): N Balaji Naik, T Parasuraman*
Volume: 6 Issue: 1 Pages: 1440-1450
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02962


Abstract At present, physical fitness is vital for college women as it aids manage stress and improves academic performance over enhanced energy and concentration levels. Regular exercise raises a sense of community and increases self-esteem, advancing a positive body image. Whereas, Yoga and aerobic exercises are essential for supporting overall mental wellbeing and physical fitness

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IoT-Based Precision Farming Robot for Agricultural Automation

Author(s): Nilkamal P More, Venkataramanan V*,Mohammed Owaish Kumar, Mohammed Saqlain Padaya, Fihaan Solanki
Volume: 6 Issue: 1 Pages: 819-832
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02736


Abstract As the world turns to new technologies and applications, advancing agricultural development goals is essential. The Internet of Things is essential for smart agriculture. IoT sensors are capable of providing farmland data. This study offers an automated IoT and smart farming system. An IoT-based agricultural monitoring system uses wireless sensor networks to collect data

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Revolutionizing Monkey Pox Diagnosis: A Cutting-Edge Deep Learning Pipeline for Advanced Lesion Segmentation and Classification Using CoAtNet

Author(s): A Bamini*, J Naveen Ananda Kumar, C Jayapratha, GB Govindaprabhu
Volume: 6 Issue: 1 Pages: 1420-1439
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02810


Abstract Monkeypox is a rapidly spreading virus which poses significant diagnostic challenges, due to its overlap with other viral illnesses. The availability of polymerase chain reaction (PCR) assays in resource-constrained environments is often hindered. In this work, deep learning is used to automate monkeypox detection by using skin lesion images. To enhance the quality and

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Numerical and Experimental Insights on Pitting Corrosion of Bare and Plasma Nitrided SS316L in Ground Granulated Blastfurnace Slag (GGBS) Concrete

Author(s): Amol Mali*, Aniket Kolekar, Vikas Dive, Sandesh Solepatil, Ganesh Jadhav, Sashikant Vagge
Volume: 6 Issue: 1 Pages: 803-818
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02735


Abstract Corrosion of concrete Rebar is persistently observed in building beams and columns. Due to this metallurgical problem, concrete structures become weak due to pitting corrosion of rebar, and the life of the building will be reduced. Products made of stainless steel are susceptible to corrosion in specific environments, mainly if they are open to

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ITEP: An Idiosyncratic Programme for Generating Teachers with 21st Century Skills

Author(s): K Suresh*, R Balamurugan, M Lavanya
Volume: 6 Issue: 1 Pages: 790-802
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02654


Abstract Education is a process of transforming humans into socially productive individuals. The teacher are the backbone of education and who is a knowledge repository who propagates knowledge to society and is called a ‘Guru’ with great regard for shaping children through their experience of knowledge. One popular Sanskrit phrase asserts that “Matha (Mother), Pitha

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Guided Inquiry vs. Conventional Methods: Shaping Learning Outcomes in Islamic Religious Education

Author(s): Suyitno Suyitno*, Dalhari, Supriyono, Chusnul Chotimah
Volume: 6 Issue: 1 Pages: 552-559
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02275


Abstract This study investigates the effectiveness of the guided inquiry learning (GIL) model in enhancing learning outcomes and its impact on student performance in Islamic religious education. While previous research has explored the application of the GIL model across various subjects, most have focused on specific competency areas rather than assessing its effectiveness. Adopting a

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Innovative AI-Driven Early Skin Disease Detection Skincare.ai’s Impact and Efficacy

Author(s): Krishnan VS, Hardik Bhatia, Hardik Khandal, Vijayan R*
Volume: 6 Issue: 1 Pages: 763-774
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02523


Abstract The usage of AI in healthcare has proven to be a significant challenge to global health due to the widespread presence of skin diseases, and the early identification and intervention when such cases are detected cannot be over stressed. Skincare.ai uses advanced artificial intelligence and machine learning capabilities that make such identification accessible. Such

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