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283 articles for “normalization”
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Biomechanical Impact of Text Neck Syndrome on Cervical Spine and Upper Quarter Musculoskeletal System
Abstract: Text Neck Syndrome (TNS) has emerged as a modern musculoskeletal disorder associated with prolonged use of handheld digital devices, resulting in sustained cervical flexion and altered spinal biomechanics. This article explores the biomechanical consequences of TNS on the cervical spine and upper quarter musculoskeletal system, including muscular imbalance, altered load distribution, ligamentous strain, and degenerative changes. Increased cervical flexion significantly elevates compressive forces on intervertebral discs and facet joints, disrupting …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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The Role of Tobacco Consumption in Oral Cancer Incidence in Punjab and Haryana
Abstract: Background: Oral cancer is one of the most common types of cancer in India, especially in the northern regions, like the states of Punjab and Haryana, where the prevalence of tobacco consumption, smoking, and smokeless forms, is high. Nevertheless, the specific contribution of different types of tobacco and other risk factors related to oral cancer occurrence in these populations has been poorly investigated. The purpose of this investigation is to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Lightweight Models for Per-PC Energy Consumption Forecasting: Comparative Study with ML and DL Approaches
Abstract: We have collected primary data from automated logging of parameters like CPU utilization, estimated power, active or idle state, user logging activity, and the type of day. Additionally, survey data showed user awareness, energy-saving behaviour, and PC usage patterns. The data is pre-processed and merged by applying processes such as data cleaning, normalization, and feature extraction, i.e., determining the peak active timings and downtime. Developed lightweight prediction models based on …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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Uncontrolled Cell Growth and Human Health: A Comprehensive Exploration of Cancer
Abstract: Cancer is a diverse category of diseases defined by the uncontrolled proliferation and spread of aberrant cells. It remains the major cause of morbidity and mortality worldwide. This article presents an overview of the various forms of cancer, such as carcinomas, sarcomas, lymphomas, and leukaemia, emphasising their distinct causes, symptoms, and risks. Early detection and diagnosis are emphasized as key to enhancing treatment outcomes. The article further provides an in-depth …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 1–23 Read article
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Technology with a Human Face: Reimagining Progress through Universal Ethical Principles
Abstract: Technological progression is mostly considered as a tool of human evolution. In this digital era, however, quick novelty has revealed complex ethical gaps in the modelling and implement of technology. Technologies namely artificial intelligence, algorithmic systems, and digital surveillance progressively effect social life, economic activity, and political decision-making. While these technologies provide proficiency and progress, they also advance moral concerns connected to discretion, disparity, liability, and human dignity. The technique …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 30–36 Read article
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A Study of DCGAN-Based Generative Models for Anime Character Face Generation
Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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Design And Implementation Of A Multi-Modal Mobile Application Safety Analytics Utilizing Nlp
Abstract: This study suggests a multi-modal mobile app safety analytics platform that uses natural language processing (NLP) to handle voice, text, and SOS messages. For effective intent recognition and decision-making, the platform processes all messages in a standard text or SOS flag format. Tokenization and normalization are used to process text communications, whereas noise reduction and text conversion are used to handle voice messages. For a quicker response, the SOS messages …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Non-Contact Quantification of Swelling-Induced Deformation in Polymer Hydrogels Using Image Analysis
Abstract: Swelling of polymer hydrogels governs transport, mechanics, and functional performance in biomedical systems, yet it is often reported using bulk ratios that conceal spatially heterogeneous deformation and boundary-driven instabilities. This study presents a non-contact image-analysis framework to quantify swelling-induced deformation by tracking shape and boundary evolution from time-lapse imaging. The approach segments the hydrogel region, extracts a sub-pixel refined contour, and computes boundary displacement descriptors including mean and upper-percentile normal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1499–1509 Read article
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Determination of Compatibility of Polymer Systems and Study of Chemical Properties of their Mixtures
Abstract: We have obtained mechanical strength of materials as a result not by synthesizing new polymers, but by using industrial polymers. We have developed a technology for obtaining new composite materials based on industrial multi-tonnage polymers of high-strength polyethylene (HSPE), polyvinyl chloride (PVC), polyurethane thermoplastic elastomer (DUTEP), butyl rubber (BR), chlorocarboxylate polyethylene (CCPE), ethylene propylene rubber (EPR). To obtain a composition from these polymers, their mixture compatibility was first determined using …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 17–29 Read article
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The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
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Recent Advancements in Nanobiocomposite-Based Wound Healing and Tissue Regeneration
Abstract: Haemostasis, inflammation, proliferation, remodeling, and other highly coordinated cellular and molecular activities are all part of the complex biological processes of wound healing and tissue regeneration. Following an injury, these stages cooperate to restore tissue integrity and function. However, this normal process is disturbed in many clinical circumstances, especially chronic wounds such diabetic ulcers, burns, and pressure sores. Prolonged inflammation, chronic microbial infection, diminished angiogenesis, and impaired extracellular matrix production …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–318 Read article
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Evaluation of Anti-cataract Potential of Carbocisteine by Using In Vitro Goat Lens Model
Abstract: This study includes Carbocisteine has four Oxygen molecules, one Sulfur molecule, and one Nitrogen molecule. Goat eyeballs were used in the present study. They were obtained from the slaughterhouse. Glucose at a concentration of 55 mM was used to induce cataracts; glucose (5.5 mM) concentration served as a normal control, and Ascorbic Acid served as a standard control. Incubation of lenses with glucose 55 mM showed opacification starting after 8 …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Polymer-Based Acoustic Composite Materials for Urban Noise Mitigation: Design, Performance and Legal Integration
Abstract: This study explores the development and use of polymer-based acoustic composite materials for effective urban noise mitigation, wherein the performance of the materials is linked to legal compliance frameworks. Rapid urbanization has intensified noise pollution from transportation, industrial activity, and construction, posing a serious threat to public health and environmental quality. Although regulatory standards exist, their implementation is often limited due to inadequate technical interventions. This research focuses on advanced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 403–412 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article
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Bending and Single Edge Notch Bending Test (SENB) Investigation of Natural Fiber- Reinforced Epoxy Composites using Machine Learning
Abstract: The present study aims to determine the behavior of hemp fiber-reinforced epoxy composites in terms of bending behavior and fracture toughness under bending load resembles the substitutive behavior of existing synthetic composites. The fabrication was carried out by hand lay-up assembly of hemp fiber with Lapox-12 epoxy resin volume fraction of 60:40 fiber: matrix volume. Flexural testing revealed an average strength of 93.5 ± 2.8 MPa and SENB testing revealed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 59–69 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article