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1775 articles for “conditions”
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A Case Study on the Efficacy of Sanshamana Chikitsa in Vitiligo (Shwitra)
Abstract: Background: Vitiligo (Shwitra), a pigmentary disorder characterized by the loss of melanocytes, the skin cells responsible for melanin production. This results in the appearance of white or depigmented patches on the skin, is interpreted in Ayurveda as a Tridoshaja condition primarily involving vitiation of Pitta and Rakta. Vitiligo poses a major psychological burden in addition to being a cosmetic issue due to its visible appearance and associated social stigma. Objective: …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 1, 2026 · pp. 29–38 Read article
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Study on Thermal and Electrical Performance of Pani Doped Graphene Composites under Solar Light Irradiation
Abstract: Here in the research work focusses on the study of thermal and electrical performance of PANI doped graphene composites fabricated by chemical way. A sequence of conducting polymer oxidative method done using the polymerization of aniline in the presence of graphene was deliberate under solar light irradiation. The composites were inspected and characterized using spectroscopy and microscopy studies. The thermal/ electrical performance of PANI and PANI doped graphene were evaluated …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1134–1146 Read article
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Design and Mathematical Quantification of a Compressed-Air Vehicle
Abstract: Compressed-air technology is emerging as a promising alternative mode of transportation, offering significant advantages over conventional fuel-operated vehicles. Unlike fossil fuel systems, compressed-air propulsion produces no direct emissions, making it an eco-friendly solution to rising concerns about air pollution and environmental degradation. Owing to its sustainability potential, this technology has attracted considerable attention from researchers, engineers, and energy enthusiasts worldwide, who have conducted extensive studies to improve its efficiency, feasibility, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1026–1035 Read article
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Design and Ballistic Performance Assessment of Pattern-Optimized Lightweight Composite Armor Using ANSYS Explicit Dynamic and AUTODYN
Abstract: This study investigates the ballistic performance of lightweight composite armor panels designed to defeat 9 mm full-metal-jacket (FMJ) threats using high-fidelity numerical simulations. Four different composite materials were arranged into panels of identical overall dimensions; only the internal segment pattern was varied to explore geometric resistance effects while keeping mass and material type controlled. Ballistic impact simulations were performed using ANSYS Explicit Dynamics and AUTODYN to capture high-strain-rate behavior, local …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 174–190 Read article
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Investigation of the independent and combined roles of Gr and ZrO₂ on strengthening behaviour of Al-7075 Composites
Abstract: This study investigates the effect of individual and hybrid reinforcements on the mechanical and microstructural behaviour of Al7075 composite fabricated using the 2-step stir-casting technique. Four compositions were made with the base Al-7075, Al-7075 3 weight % ZrO2, and Al-7075 3 weight % Gr as well as a hybrid composite Al7075 with 3 wt.% Gr, 3 wt.% ZrO2. 2-step stir-casting was used to increase the wettability of the particles, decrease …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1060–1075 Read article
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Synthesis, Identification and Bio Evaluation of New Thiophene Derivatives
Abstract: Thiophene is considered one of the most effective cyclic sulfur compounds in organic and pharmaceutical chemistry due to its high stability in various chemical reactions. It plays a key role as an antifungal agent in treating skin allergies, as well as in the preparation of polymers, rubber, and other materials. Recent research has focused on incorporating sulfur compounds into the synthesis of organic compounds because of their high stability in …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 31–43 Read article
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Personalized Therapy Using Drug Delivery Devices
Abstract: The persistent challenge in modern medicine lies in inter-patient heterogeneity, rendering standardized drug dosing protocols suboptimal for many chronic conditions. Traditional pharmacokinetics fail to account for real-time biological fluctuations, leading to cycles of ineffective treatment or dose-limiting toxicity. This paper explores the critical intersection of advanced drug delivery devices (DDDs) and personalized medicine, positioning these technologies as the vital link translating genomic and biological data into tangible, patient- specific interventions. …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 53–62 Read article
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Electromagnetic and Dielectric Performance of Polymer–Ceramic Composite Substrates for Fractal-Based IoT-Antenna Fabrication
Abstract: Polymer–ceramic composite substrates play a crucial role in determining the electromagnetic performance, mechanical stability, and thermal reliability of radio-frequency devices. In this work, a polymer-based composite substrate is systematically investigated for its suitability in compact IoT and RFID antenna applications. A fractal-structured antenna is employed as a functional test platform to evaluate the dielectric behavior, impedance characteristics, and radiation efficiency of the composite substrate. Novelty of the proposed reader antenna …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1518–1534 Read article
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A Study on the Role of Women’s Involvement in Fisheries and Aquaculture with Reference to the Mumbai Region
Abstract: Women play a crucial role in the fisheries and aquaculture sector, engaging in activities such as fish processing, marketing, and aquaculture management. Although they make major contributions, they frequently encounter socio-economic difficulties, such as limited access to funding, technological tools, and skill development opportunities. In the Mumbai region, women’s involvement in the fisheries industry is essential for economic sustainability, yet financial constraints and inadequate infrastructure restrict their growth and leadership …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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Investigation on Mechanical Properties of Bamboo Fibre Reinforced Composites
Abstract: This study investigates the mechanical performance of bamboo fibre-reinforced polymer composites (BFRPCs), emphasizing tensile, flexural, and impact properties. The composites were fabricated using an epoxy resin matrix combined with untreated bamboo fibres in varying fibre contents ranging from 25% to 45%, utilizing the hand lay-up method. Among the tested compositions, the composite with 35% bamboo fibre content exhibited the most favorable mechanical characteristics. It achieved the highest tensile strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 325–338 Read article
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Response of Mung Bean (Vigna Radiata (L.) R. Wilczek) Varieties to Bradyrhizobium Inoculation at Gimbo District, Southwestern Ethiopia
Abstract: Globally, mung beans are grown in tropical and subtropical climates as an essential pulse crop. However, lack of appropriate nutrient management combined with the best responsive varieties is a major problem in enhancing productivity of mung bean. Thus, this field experiment was conducted in Gimbo district, Southwest Ethiopia, during the 2024–2025 rain-fed cropping season to evaluate the response of mung bean varieties to Bradyrhizobium inoculation. The treatments comprised factorial combinations …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 28–37 Read article
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Engineering Polymer Innovations for Improved Battery Safety and Vehicle Efficiency: A Comprehensive Review
Abstract: Electric vehicles (EVs) are high-power systems that require high-quality materials to ensure safety, reliability, and performance under extreme operating conditions. Polymer materials have become critical engineering materials in meeting these requirements due to their lightweight nature, design flexibility, durability, and high electrical insulation capability. Consequently, polymers are widely used in key EV components, including battery enclosures, module frames, thermal interface materials, wiring insulation, and lightweight structural parts.Recent developments in polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 500–512 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Comprehensive Study and Triggering Factors of Alcoholic and Non-Alcoholic Fatty Liver
Abstract: Over the past few years, fatty liver disease has turned out to be a rather widespread phenomenon and has become a serious issue with the global population nowadays. It comprises alcoholic fatty liver disease and non-alcoholic fatty liver disease, which develop under the influence of various initiating factors, though frequently follow similar pathologies. The overloading of lipids in the hepatocytes in most cases will be the first sign of the …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 43–52 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Effect of Ply Orientation on Thermal Erosion and Conductivity of Silica Phenolic Composites Under Oxy-Acetylene Flame
Abstract: The thermal and erosion performance of fiber-reinforced composites is highly sensitive to fiber architecture, matrix chemistry, and processing techniques, factors that have shaped development of advanced thermal protection systems (TPS) over past two decades. Silica phenolic (SP) composites, in particular, are widely employed in aerospace and defense applications due to their flame resistance, char stability, and ability to withstand severe thermal shock. However, optimizing thermal conductivity while improving erosion resistance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 273–283 Read article
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Development of Polymer Based SRAM Cell with Enhance Low Power Performance
Abstract: Low-power memory technologies are in high demand with the rapid growth of portable electronics and energy-efficient computing systems. Static random-access memory (SRAM) plays a crucial role in processors, cache memories, and system-on-chip applications due to their speed and reliability. Static Random Access Memory (SRAM) is typically implemented using complementary MOS (CMOS) technology, which integrates both PMOS (P-channel Metal–Oxide–Semiconductor) and NMOS (N-channel Metal–Oxide–Semiconductor) transistors. However, as technology scales to deep submicron …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1439–1448 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article