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1673 articles for “identification”
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Enhancing Rhizoremediation of Petroleum Hydrocarbon-Contaminated Soil Using Brachiaria ramosa: A Review of Plant Growth Promotion and Degradation Potential
Abstract: This paper examines rhizoremediation as a sustainable and environmentally acceptable remediation technique in response to the growing problem of petroleum hydrocarbon pollution in soils. Brachiaria ramosa, a tropical grass species that may be useful in contaminated settings, is the main emphasis. A critical analysis of the literature on plant growth-promoting rhizobacteria (PGPR), microbial consortia involved in hydrocarbon breakdown, and rhizosphere-mediated degradation is conducted. There is a thorough discussion of important …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 24–41 Read article
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On the Relationship between Equivalent Potential Temperature (theta-e) and Convective Rain over Nigeria and Togo
Abstract: Convective precipitation is a key feature of West Africa's climate, driven by the West African monsoon system. Accurate forecasting of convective storms is challenging but essential for disaster mitigation in the region. This study investigates the ability of using equivalent potential temperature (theta-e) for predicting convective rainfall events in West Africa. Theta-e combines the thermodynamic effects of moisture and temperature to represent total energy available for convection. Daily rainfall and …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 26–43 Read article
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Atmospheric Determinants of Feed, Fodder, and Forage Contamination in a Changing Climate: Emerging Challenges for Sustainable Livestock Production
Abstract: Feed, fodder, and forage contamination represents a growing constraint to sustainable livestock production under a changing climate. Atmospheric determinants such as rising temperature, altered precipitation patterns, increased humidity, elevated carbon dioxide concentration, and enhanced aerosol and pollutant loads are increasingly recognized as critical drivers of contamination risks across feed supply chains. These atmospheric factors directly and indirectly influence crop growth, fungal proliferation, mycotoxin biosynthesis, microbial survival, and the deposition of …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Knowledge Production and Global Integration of Uganda’s Climate Change Research: A Scientometric Perspective
Abstract: This study provides a comprehensive scientometric analysis of climate change research originating from Uganda and indexed in the Web of Science Core Collection between 1974 and 2025. A total of 1,097 publications were identified, which collectively received 785 Total Local Citation Scores (TLCS) and 40,275 Total Global Citation Scores (TGCS).The temporal analysis reveals exponential growth in research productivity, with over 67% of total publications produced during 2020–2025, indicating accelerated scholarly …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 15–25 Read article
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Jaundice: Etiology, Clinical Manifestations, Diagnosis, Management, Nursing Care, and Prevention
Abstract: Jaundice is a significant clinical condition marked by a yellow discoloration of the skin, sclera, and mucous membranes resulting from increased bilirubin levels in the bloodstream. Rather than being a disease itself, jaundice represents an underlying disorder involving the liver, biliary system, or hematological processes. Hyperbilirubinemia develops when there is excessive bilirubin production, impaired hepatic uptake, defective conjugation, or obstruction in bile excretion. Jaundice remains a major global health concern …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 32–39 Read article
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Integrating Advanced Technologies for the Scientific Revalidation of Ayurvedic Principles
Abstract: Background: Ayurveda, a 5,000-year-old holistic healthcare system, emphasizes the dynamic balance of body, mind, and spirit. Recent advancements in science and technology have accelerated its integration into global healthcare systems. Objective: This paper explores the contribution of modern tools and methodologies to the scientific validation and enhancement of Ayurvedic principles across education, clinical practice, and research. Methods: A comprehensive literature review was conducted using databases like PubMed, Google Scholar, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 1–6 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Improvement of Geometric Tolerances and Mechanical Properties of Aluminum Hybrid Metal Matrix Composites
Abstract: In the field of metal matrix composite materials, there has been a generous thrust towards the development of electrical discharge machining (EDM). In this study, stir casted aluminum hybrid metal matrix composites were successfully machined using EDM by analyzing the input process parameters namely, pulse-on time, peak current, and gap voltage using L27 orthogonal array. The ideal conditions for various output responses such as material removal rate, circularity, and radial …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1583–1592 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Partitioning Dynamics of Nutrients in Transition Dairy Cows: Metabolic, Hormonal, and Cellular Mechanisms Affecting Lactation and Fertility
Abstract: This review critically examines nutrient partitioning dynamics in dairy cows during the transition phase, a period that profoundly affects lactation and reproductive performance. During this phase, cows experience extensive physiological changes that alter nutrient requirements and utilization, making effective management essential for health and productivity. The review synthesizes current research on mechanisms of nutrient partitioning, with particular attention to energy, protein, and mineral balance, which are crucial for optimizing milk …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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Intelligent Polymer-Integrated Wearable Platforms for Sustainable IoT and Predictive Health Monitoring for Migraine Detection
Abstract: Migraine is a neurological disorder, and its effect on the global workforce is resultantly significant. However, the fact of the matter is the absence of notable technological breakthroughs and the fact that the technology presently available is reactive, meaning it tackles the symptoms of the attack after the attack has occurred. The requirement for this paper is, therefore, the provision of an innovative approach, and this paper will describe the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 946–960 Read article
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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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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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Assessment of Resting Heart Rate and It’s Association with Cardiovascular Risk in Young Adults
Abstract: Resting heart rate is an easily measurable physiological parameter that reflects autonomic nervous system balance and cardiovascular function. This article aims to assess resting heart rate and examine its association with cardiovascular risk in young adults. A comprehensive review of recent literature highlights that elevated resting heart rate is significantly associated with increased risk of hypertension, metabolic syndrome, endothelial dysfunction, and long-term cardiovascular morbidity and mortality. In young adults, resting …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 6–23 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article