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246 articles for “physical performance”
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Comparative Analysis of Fermented Milk Prepared Using Natural Fermentation Starters
Abstract: Background: Fermented milk products are a staple of traditional diets and offer considerable nutritional and health benefits due to their probiotic and bioactive compounds. While conventional starters, like old buttermilk are widely used, alternative plant-based starters, like clove and green chili stalk, have potential advantages, including enhanced antioxidant properties and cultural relevance. Objectives: This study aimed to compare the fermentation dynamics of milk inoculated with clove, green chili stalk, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–28 Read article
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A Comprehensive Review on Deposition Techniques for Functional Thin Films
Abstract: Thin films have become a critical element in the design and development of advanced functional materials because of their remarkable versatility, high efficiency, and ability to be easily integrated into a wide variety of devices. These films are used in a broad range of industries, from electronics to energy, owing to their ability to improve the performance of components by providing tailored electrical, optical, and mechanical properties. The deposition of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Nanoparticle Chemistry: The Synthesis, Properties and Applications of Polymer and Macromolecule-Based Nanoparticles and Their Composites
Abstract: Nanoparticles have arisen as a transformative branch of materials in chemistry, owing to their unique physicochemical and biological properties that vary from their bulk materials. Various synthesis techniques, including physical (e.g., laser ablation), chemical (e.g., sol-gel, co-precipitation) and biological (e.g., microbial or plant-mediated) approaches, offer control over particle size, shape and surface characteristics. These methods influence the optical, electronic, catalytic and mechanical properties of nanoparticles. Nanoparticles can exhibit high surface …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1236–1247 Read article
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Design and Development of Multifunctional Stretcher
Abstract: Hospital stretchers and wheelchairs are integrated in this piece. Instead of using the chair and stretcher individually, the suggested stretcher can be utilized for multiple purposes. Patients' mobility issues can be greatly reduced by this arrangement. There is a challenge in the ICU moving seriously damaged or fractured patients from stretcher to wheelchair. This product is capable of addressing such situations. One more advantage of the proposed design to conduct …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Integrating Co-Curricular Activities with Academic Achievement in Light of NEP 2020 and NCF-SE
Abstract: This research paper investigates the impact of co-curricular activities on the academic achievement of senior secondary students. The study emphasizes the significance of holistic development in education, where co-curricular activities (CCAs) play a vital role alongside formal academics. CCAs include a range of non-classroom engagements such as debates, music, sports, drama, arts, and community service that contribute to the cognitive, social, emotional, and physical growth of students. These activities are …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 59–66 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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Silicon Symphony: The Science of Semiconductors Circuits
Abstract: Modern electronics are built on the foundation of semiconductor circuits, which precisely and efficiently control the flow of electrical impulses. This article takes a look at the underlying physics of semiconductor materials and how their unique electrical properties allow the design and functioning of diodes, transistors and integrated circuits. This study links microscopic scientific principles to the behaviour of real circuits. It considers essential concepts such as charge carriers, doping …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Formulation and Evaluation of Topical Anti-Acne Gel from Coriander and Garlic Extract
Abstract: Objective: To develop and evaluate a topical anti-acne gel formulated using aqueous extracts of coriander (Coriandrum sativum) and garlic (Allium sativum). The study aims to assess the antibacterial efficacy of the gel against acne-causing bacteria, specifically Propionibacterium acnes. Methods: 1.Extraction: Coriander Extract: Aqueous extraction was performed by soaking coriander seeds in distilled water, followed by filtration. Garlic Extract: Non-chemical extraction involved mixing crushed garlic with honey in a 1:1 ratio …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 3, 2024 · pp. 10–15 Read article
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Assessment of Factors Affecting Telebirr (Mobile Money) Project Implementation in the Case of Ethio Telecom Sector
Abstract: Background: Mobile money services facilitate financial transactions through mobile devices, reducing dependence on physical cash and promoting financial inclusion. The Telebirr Mobile Money project by Ethio Telecom is a key initiative in this domain. Objective: This study aims to examine the factors influencing the successful implementation of the Telebirr Mobile Money project within Ethio Telecom. Methods: A census survey was conducted among 75 project team employees at the Lebu and …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 13–19 Read article
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A Study on Clinical Evaluation of Multi Intervention Therapy for Enhancing Quality of Life in Maintenance Hemodialysis Patients
Abstract: Patients with Chronic Kidney Disease (CKD) receiving maintenance hemodialysis often report a markedly impaired health-related quality of life, largely resulting from factors such as psychological distress, chronic inflammation, and poor nutritional status. Despite its importance as a clinical outcome, HRQOL assessment in dialysis patients has received limited attention. Strengthening comprehensive patient care and optimizing treatment strategies may help reduce complications and promote improved physical, mental, and social well-being. The present …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 69–81 Read article
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Properties of Biostimulant of Ponderosa Lemon for Crude Oil Remediation in Soil Environment
Abstract: The effect of petroleum hydrocarbon on soil environment contributes to low performance of microbes and plant yield. This study investigates the potential of grape leaf (Ponderosa lemon) on hydrocarbon constituents of crude oil contaminated soil. Freshly harvested grape leaf was washed thoroughly with tape water thereafter rinse with distilled water, some portions kept for room-dried and another for sundried to vary the composition. Fixed masses of loamy soil samples of …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 2, 2025 · pp. 35–42 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Corrosion Testing and Evaluation of Inhibitors Performance
Abstract: Choosing test methods that will analyze specific needs, like film barrier strength that real field settings is essential for the proper evaluation and development of inhibitors. The flowing loop and the bubble test are two examples of the first and second, respectively. Corrosion is measured by gravimetric, electrical noise, alternating-current impedance, potentiodynamic measurement, linear polarization and gravimetric. The inhibitors action can be analyzed in different corrosive environments. Their performance is …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 82–88 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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A Comprehensive Review On Panic Disorders
Abstract: Panic disorder is a prevalent mental health condition characterized by sudden, recurring episodes of intense fear accompanied by physical symptoms. It is twice as likely to affect women and may have a genetic predisposition. This disorder stems from an exaggerated response of the body's survival mechanisms and hormones, impacting manifestations like agoraphobia. Additionally, it is associated with significant psychiatric comorbidity and impaired functioning in various roles. Recent research has delved …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 53–59 Read article
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Monitoring The Hydrocarbon Utilizing Bacteria in Crude Oil Remediation Using Bio-Stimulant of Mint Leaf (Mentha Piperita)
Abstract: Conceptual monitoring of hydrocarbon utilization bacteria on crude oil remediation using bio-stimulant of mint leaf (Mentha piperita) was investigated. The bio-stimulant nutrient was determined by considering the available nitrogen, phosphorus, potassium, and hydrocarbon utilizing bacteria presence in both room and sun-dried samples of the remediant used. The mint leaf (Mentha piperita) was processed to obtain the powder form (nano particle size) of the bio-stimulant and the microbes isolated and identified …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 34–39 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article