https://jmvra.org/ The latest research articles of Journal of Modern and Versatile Research Approach to read in full on the web — open access under CC BY 4.0, with the PDF, JATS XML and figures. en Articles © their authors, published under CC BY 4.0 Tue, 03 Nov 2026 12:13:05 +0530 720 https://jmvra.org/fulltext.php?paper=JMVRA2610012 https://jmvra.org/fulltext.php?paper=JMVRA2610012 Sat, 03 Oct 2026 00:00:00 +0530 This review discusses global pharmacovigilance programmes and their importance in ensuring medicine safety. It covers major international initiatives, adverse drug reaction reporting systems, collaboration between regulatory authorities, and pharmacovigilance practices in selected ASEAN countries. It also explores emerging technologies such as artificial intelligence, real-world data, and digital reporting tools, while highlighting challenges including under-reporting, limited resources, and difficulties in international data sharing. The review emphasises the need for stronger collaboration, improved reporting systems, and patient involvement to enhance medicine safety worldwide. Rushikesh Rohidas Rawate Pharmacovigilance (PV) Adverse Drug Reaction (ADR) Monitoring Medicines (MM) World Health Organisation (WHO) Food and Drug Administration(FDA) https://jmvra.org/fulltext.php?paper=JMVRA2610011 https://jmvra.org/fulltext.php?paper=JMVRA2610011 Sat, 03 Oct 2026 00:00:00 +0530 Saliency, the identification of the image regions that matter most for a visual decision, has evolved from a hand-crafted model of human attention into a general-purpose signal that is used to supervise, augment, compress, and explain modern image classifiers. This survey reviews recent work from 2024 to 2026 on saliency-based image classification and organises it into six categories: (A) saliency-guided data augmentation and mixup, (B) saliency-guided training objectives, (C) saliency-guided input and token selection for efficient inference, (D) saliency-guided feature mining, (E) saliency as explanation and its evaluation, and (F) robustness, trust, and security. For each category we summarise representative methods, the reported empirical gains, and the assumptions on which these gains rest. Across studies, we observe that (i) human or human-like saliency is a useful training signal when labelled data are scarce, (ii) Vision Transformer (ViT) attention has become the dominant saliency source for efficiency-oriented methods, and (iii) the faithfulness of saliency maps remains contested, which limits their use as clinical or safety evidence. We close with a discussion of open pro… Mehjabin Saiyad Meet Trivedi Preet Prajapati Jigar Dalvadi saliency maps image classification vision transformers explainable AI saliency-guided training data augmentation token pruning medical imaging https://jmvra.org/fulltext.php?paper=JMVRA2610010 https://jmvra.org/fulltext.php?paper=JMVRA2610010 Fri, 02 Oct 2026 00:00:00 +0530 The increasing demand for electric vehicles has encouraged the development of efficient, lightweight, and reliable battery energy storage systems for electric scooters. This review paper presents a comparative study of suitable battery pack technologies for electric scooter applications, focusing on lithium-ion battery chemistries such as Lithium Nickel Manganese Cobalt Oxide (NMC), Lithium Iron Phosphate (LFP), and other commonly used battery technologies.This battery systems based on energy density, power capability, weight, cost, cycle life, charging characteristics, thermal stability, safety, and overall performance. Particular attention is given to battery voltage and capacity selection according to motor power, controller specifications, and the required driving range. The role of the Battery Management System (BMS) in cell balancing, temperature monitoring, and protection against overcharging and over-discharging is also discussed. Furthermore, battery packaging and lightweight casing design are considered to improve space utilization and vehicle integration. The findings of this review aim to identify a suitable battery technology for electric scooter conversion, consideri… Penugonda Varalakshmi Gotte Vishnuvardhan Dhorishetti Akhil Dharavathu Uday Nayak Gugulothu Pavan Keywords: Electric Scooter Battery Pack Lithium-ion Battery NMC LFP Battery Management System Energy Density Battery Selection. https://jmvra.org/fulltext.php?paper=JMVRA2610009 https://jmvra.org/fulltext.php?paper=JMVRA2610009 Sat, 31 Oct 2026 00:00:00 +0530 The present study was undertaken to formulate and evaluate Almotriptan oral/buccal fast-dissolving films as a patient-friendly dosage form for migraine management. Almotriptan is a selective serotonin 5-HT1B/5-HT1D receptor agonist used in the acute treatment of migraine. Films were prepared by the solvent-casting method using Eudragit L100, HPMC K4M and HPMC K15M as film-forming polymers. Propylene glycol and Tween 80 were incorporated as plasticizer and permeation enhancer, respectively. Twelve formulations (F1–F12) were prepared by varying polymer composition. The films were evaluated for physical appearance, flatness, thickness, folding endurance, drug content, moisture uptake, moisture content and in-vitro permeation through a dialysis membrane. All formulations exhibited acceptable physical characteristics. Formulation F6, containing HPMC K4M 300 mg and Eudragit L100 60 mg, showed the highest cumulative drug release, 94.7% at 12 h. Release-kinetic analysis indicated that the Korsmeyer–Peppas model provided the best fit (R² = 0.9892), with an n value of 0.6203, suggesting non-Fickian diffusion. The developed Almotriptan buccal film system may provide a convenient alternative… Divya Nemani Dr Medisetty Gayatri Devi Dr B Nagamani A Suneetha devi oral film buccal film solvent casting HPMC K4M Eudragit https://jmvra.org/fulltext.php?paper=JMVRA2610008 https://jmvra.org/fulltext.php?paper=JMVRA2610008 Sat, 31 Oct 2026 00:00:00 +0530 Background: Manual classroom attendance is slow, interrupts teaching and is open to proxy marking. Methods: This paper presents an AI-powered, real-time face-recognition attendance system. A browser sends camera frames to a FastAPI backend, which forwards them to an isolated machine-learning microservice. SCRFD detects faces, five-point alignment is applied, and ArcFace (w600k_r50) produces 512-dimensional L2-normalised embeddings. The backend matches these against an enrolled gallery in PostgreSQL with pgvector using cosine similarity, applies a threshold and quality check, and records attendance at most once per student per session. Access is secured with Argon2id, JWT and role-based access control, and a randomised head-movement challenge with proxy alerts adds a lightweight anti-spoofing layer. Results: The system passed 73 automated tests (43 ML, 30 backend), and gallery search takes about 5.9 ms for 1,500 vectors and 19.7 ms for 5,000 vectors. Recognition accuracy (FAR, FRR, Rank-1) is not yet measured because the available dataset has no identity labels. Conclusion: The system is a secure, modular and testable prototype; identity-labelled field calibration is the main next… Abhilash Telkar Shivakumar Akshay Narayan Naik Dhanush Kumar M R Gagandeep K L Face recognition ArcFace SCRFD pgvector attendance automation role-based access control. https://jmvra.org/fulltext.php?paper=JMVRA2610007 https://jmvra.org/fulltext.php?paper=JMVRA2610007 Fri, 30 Oct 2026 00:00:00 +0530 Manned aircraft and unmanned aerial vehicles (UAVs) now share the same airspace, yet existing systems either track only manned aircraft (ATC radar and ADS-B receivers) or detect only drones (counter-UAS RF scanners), and no affordable system correlates both to estimate collision risk in real time. This paper presents SkyGuard, a software-based airspace risk-scoring system that fuses Automatic Dependent Surveillance–Broadcast (ADS-B) aircraft data with radio-frequency (RF) based UAV detection data into a unified airspace model. A weighted algorithm computes a dynamic risk index from 0 to 100 using proximity, closest-point-of-approach convergence and aircraft altitude-band severity, scaled by detection confidence; a classification layer (CNN with Remote ID cross-referencing) is designed to distinguish authorized drones from unauthorized or hostile ones; and a four-tier alert scheme (Advisory, Caution, Warning, Emergency) notifies operators through a live web dashboard with a map-based risk overlay. The work covers the complete software pipeline using simulated and dataset-based RF inputs, with physical sensor integration planned as a later phase. SkyGuard demonstrates a low-cost, pa… Sujay Aditya Vignesh Chinmai J Gowda ADS-B UAV detection RF fingerprinting data fusion risk scoring airspace safety machine learning https://jmvra.org/fulltext.php?paper=JMVRA2610006 https://jmvra.org/fulltext.php?paper=JMVRA2610006 Fri, 30 Oct 2026 00:00:00 +0530 Students often find it difficult to discover suitable internships because opportunities are scattered across many company websites and job portals, and matching personal skills with the requirements of each role is largely a manual task. This paper presents an AI Internship Aggregator and Recommendation Platform that brings internship listings from multiple technology companies into a single web-based system. After login, a student uploads a resume in PDF, DOCX or text format. The system extracts the text, identifies technical skills, education, projects and experience using a JavaScriptbased natural language processing taxonomy, and calculates a skill match percentage between the student and every internship. Recommended companies are ranked by this score, and the matching and missing skills are displayed for each role. Students can save internships, view verified company details, apply, and monitor every opportunity through an Application Tracking System supported by an SQLite database. A profile module allows personal details, identified skills and the resume to be managed. By combining resume analysis with transparent skill matching, the proposed platform aims to reduce search… ABISHECK M AKILESH V DHARANISH KUMAR M DHARSHAN A DHARUN M Artificial Intelligence Internship Aggregator Resume Analysis Skill Matching Internship Recommendation Application Tracking System Resume Parsing Job Matching https://jmvra.org/fulltext.php?paper=JMVRA2610005 https://jmvra.org/fulltext.php?paper=JMVRA2610005 Thu, 29 Oct 2026 00:00:00 +0530 Abstract: In 1956, Manbhum district, which was part of Bihar, was split off to form Purulia district, which was included in West Bengal. This district still bears witness to many significant historical events. People from different communities in this region made important contributions to the Chuar Rebellion, Ganganarayan’s Rebellion, and the Great Revolt (sepoy mutiny), as well as the freedom movement led by Gandhi. Satyakinkar Mahato was a significant leader in the freedom struggle in Manbhum, present-day Purulia. He became involved in politics due to the political situation in the country at the time and many local issues. He actively participated in the long-term anti-British struggle, from the Civil Disobedience Movement of 1930-34 to the Quit India Movement of 1942. For this, he had to serve prison sentences several times. He played an important role in strengthening the Congress Party through public meetings and processions in various places in the district. He was entrusted with various important positions, including that of president of the Manbazar Block Congress Committee, and he always strove to fulfil those responsibilities. Binod Bihari Mahata Manbhum Manbazar Purulia Satyakinkar Metyala Kurmi Freedom Movement August Chuar Rebellion Majhihira Mahato Satyagraha etc. https://jmvra.org/fulltext.php?paper=JMVRA2610003 https://jmvra.org/fulltext.php?paper=JMVRA2610003 Sat, 24 Oct 2026 00:00:00 +0530 The study examines the impact of Green Human Resource Management Practices (Green HRMP) on employee engagement and employee performance in the private banking sector. The study adopts a descriptive research design with a sample of 150 employees selected through simple random sampling. Path analysis is employed to examine the direct relationships among green communication management, green career management, employee engagement, and employee performance. The findings reveal that green communication management (beta = 0.524) and green career management (beta = 0.444) have significant positive effects on employee engagement. Furthermore, employee engagement demonstrates a strong positive influence on employee performance (beta = 0.953). Green communication management (beta = 0.226) and green career management (beta = 0.169) also exert significant positive direct effects on employee performance. These results highlight the importance of integrating environmental communication, sustainability-oriented career development, and employee engagement initiatives into human resource management practices to improve workforce performance in private banks. The study concludes that effective impl… Dr. B. HARIPRABHU DHAKAL Dr. P. CHINNADURAI Dr. C. VELAUDHAM Green Human Resource Management Practices Green Communication Management Green Career Management Employee Engagement Employee Performance Private Banking Sector Path Analysis https://jmvra.org/fulltext.php?paper=JMVRA2610002 https://jmvra.org/fulltext.php?paper=JMVRA2610002 Sat, 24 Oct 2026 00:00:00 +0530 This paper presents a descriptive analysis of the skills parents expect from professional home tutors when their children face specific learning difficulties. The data were collected from parents in Dattawadi, Swargate, Koregaon, Baner, and Wagholi in Pune, India, and the analysis rests on a single cross-tabulation of four student issues against fifteen tutor-skill descriptors, covering 219 parents who answered both questions. The four issues are absence of a regular study rhythm (n = 120), being stuck on doubts or concepts (n = 93), not knowing how to study (n = 82), and difficulty keeping a child engaged for one hour among working parents (n = 39). Because these subgroup sizes sum to more than 219, parents could report more than one issue. In every group the highest percentages attach to three skills: dedicated and professional tutor (62–71%), qualified and capable (63–74%), and effective and engaging (58–62%). Specialised labels such as proficient and adept (23–33%) or seasoned instructor (27–31%) receive substantially lower percentages. Rankings shift modestly by issue, but the prominence of the three core skills is stable. The analysis is descriptive; no causal inference or t… Mahesh Ashok Marathe Neha Ashok Marathe parent expectations professional home tutoring tutor skills student learning issues study habits concept clarity engagement Pune India https://jmvra.org/fulltext.php?paper=JMVRA2610001 https://jmvra.org/fulltext.php?paper=JMVRA2610001 Sat, 24 Oct 2026 00:00:00 +0530 This study analyzes G. Sankara Pillai's play Sabarmati Dooreyaanu through the interrelationship of history, memory, Gandhian politics, social relations, and power. Rather than merely glorifying Gandhian ideals, the play problematizes the gap between the values of truth, non-violence, social equality, and human brotherhood associated with the freedom struggle and the realities of post-independence Indian society. The symbolism of “Sabarmati” and its being “far away” forms the central metaphor of the play. The Sabarmati–Noakhali duality represents conflicts between ideal and reality, non-violence and violence, and human brotherhood and social hatred. History is presented not as a closed sequence of past events but as a living memory that interrogates the present. Gandhi's presence becomes a moral criterion through which the deficiencies of contemporary society are measured.Through a close reading, the paper examines the workings of caste, class, ownership, power, and residual feudal values within family relationships. The play's aesthetic strength lies in representing larger political history through intimate human relationships and everyday conversations. Character language, forms… Dr. RAJESH M K Gandhian thought Sabarmati Noakhali historical memory political drama social power feudal memory symbolism Brechtian theatre. https://jmvra.org/fulltext.php?paper=JMVRA2609001 https://jmvra.org/fulltext.php?paper=JMVRA2609001 Wed, 23 Sep 2026 00:00:00 +0530 Scholarly communication increasingly depends on the quality of research as well as the ability of readers, reviewers, editors, libraries, and discovery services to identify, interpret, evaluate, and reuse research outputs. ORWave.org is considered here as an open-access repository and journal-discovery environment that can connect research deposits, structured metadata, researcher profiles, editorial participation, and transparent review records. This conceptual paper explains how these functions may contribute to discoverability and responsible research engagement while distinguishing platform-level visibility from formal indexing decisions and journal-level citation indicators. A lifecycle framework is proposed in which persistent article records, descriptive metadata, accessible full text, clear versioning, researcher identity information, and responsible review workflows work together. The paper also outlines practical pathways for researchers to create profiles, document research activity, volunteer as reviewers, seek editorial roles, and contribute content. For journals, it identifies metadata completeness, publication ethics, peer-review transparency, licensing clarity, pre… Jatin Patel Hitesh Patel Supporting Journal Discoverability Transparent Peer Review Researcher Profiles and Editorial Participation