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337 articles for “value addition”
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Review And Analysis of Application of Conductive Polymer Composites in Power-Efficient RF Circuits For 5G PAPR Reduction
Abstract: The need for low power RF circuits has gained more importance in the background of fifth-generation (5G) wireless communication systems, since the inherent PAPR characteristic of 5G signals—especially when using orthogonal frequency division multiplexing (OFDM) based techniques—becomes high. This high PAPR limits the efficiency of RF power amplifiers, increases power consumption, and induces thermal management challenges. In this context, conductive polymer composites (CPCs), based on advanced polymer matrices integrated with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 111–125 Read article
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Poisson’s Ratio in Stone Dust and Steel Fiber Reinforced Composite Concrete: A Theoretical Approach
Abstract: Poisson's ratio characterizes a material's deformation under load, offering insights into its structural behavior. Yet, there's a lack of research on SDSFC's Poisson's ratio, hindering its widespread adoption. This study aims to fill this gap by investigating SDSFC's Poisson's ratio under various curing conditions and material compositions. By analyzing how curing methods and material components influence Poisson's ratio, we can better comprehend SDSFC's behavior under different circumstances. Additionally, we'll explore …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 88–94 Read article
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Harnessing Nature: Formulations for Colon Cancer Prevention and Treatment
Abstract: Colon cancer, a rapidly advancing disease worldwide, involves the carcinogenesis of the distal part of the intestine. This malignancy progresses through various developmental stages necessitating diverse treatment approaches. Traditional treatments include drug therapy and chemotherapy; however, emerging methods, such as the use of phytochemical compounds offer promising mechanisms for combating this disease. Phytochemical compounds derived from natural food sources, including flavonoids, tannins, resveratrol, and epigallocatechin-3-gallate, exhibit potent anti-cancer properties. They …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 11–23 Read article
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Development, Optimization and Evaluation of Polyherbal Gel Comprising of Azadirachta Indica, Calendula Officenalis, Turmeric and Aloe-vera for Treatment of Wound
Abstract: Azadirachta indica, Calendula officinalis, Turmeric (Curcuma longa), and Aloe-vera are known to possess numerous medicinal properties. These herbs have been traditionally used across various cultures for the treatment of a wide range of ailments due to their potent therapeutic effects. Individually, they have demonstrated efficacy in addressing conditions such as acne, diabetes, wound healing, gastric ulcers, first-degree burns, psoriasis, arthritis, and pneumonia. Additionally, they are known for their antimicrobial, anti-inflammatory, …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 41–53 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Knowledge Regarding Medico-Legal Aspects Among the Nurses of Selected Hospitals at Dharwad
Abstract: Background: Nurses need to update their knowledge regarding medico-legal aspects to reduce the errors related to care and documentation maintained in the profession. The present study aims to assess the knowledge of nurses on medico-legal aspects, to plan the teaching program and to find the effectiveness of planned teaching program in improving the knowledge of nurses. Material and Method: An evaluative approach using one group pretest posttest design was adopted. …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 9–14 Read article
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The Effect of Dynamics and Mass Transfer Limitation on the Kinetic Growth Rate of Methane Gas Hydrates
Abstract: Hydrate management aims to prevent impediments to fluid flow in pipes caused by hydrate deposition. To achieve this goal effectively, a comprehensive understanding of the thermodynamics and kinetics of hydrate formation is essential for predicting their equilibrium conditions, quantifying the amount of deposition, and estimating the associated risk. Hydrate growth studies are a relatively new field, and independent laboratory experiments have shown that hydrate growth is controlled by heat transfer, …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 76–84 Read article
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Mast Cell Activation Disorders: Diagnosis & Management
Abstract: Mast Cell Activation Disorder (MCAD) is a broad umbrella term which includes a heterogenous group of disorders characterized by the inappropriate and excessive release of mediators from mast cells. Mast Cell Activation Syndrome represents a severe and well-defined form within the broader spectrum of Mast Cell Activation Disorders. These disorders are generally divided into clonal and non-clonal categories. Clonal conditions include Systemic Mastocytosis, Cutaneous Mastocytosis, and Monoclonal Mast Cell Activation …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 31–40 Read article
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Additive Manufacturing of Polymer-Based Advanced Composites: Mechanical Properties and Performance Evaluation
Abstract: Fabrication of large-scale and geometrically complex polymer-based advanced composites via fused deposition modelling (FDM) has been shown to be a promising technology for the production of such materials, however there are challenges in using short carbon fibre-reinforced polylactic acid (CF-PLA) which include obtaining high mechanical performance and maintaining dimensional accuracy with dynamic robot motion and complex interactions occurring between process parameters. The conventional approaches are mostly static feed rates or …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1335 Read article
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A Review: Advancements and Applications of Investment Casting Technology in Aerospace Industries
Abstract: A conventional method for producing intricate and superior metal components is investment casting. It utilizes a wax pattern, a refractory shell, and molten metal to create a near-net-shape product. This method has been around for more than 5,000 years and is still relevant in various industries today, especially in aerospace. Investment casting, also known as lost-wax casting, is essential to the aerospace industry's ability to produce complex, high-performance parts. The …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 1, 2025 · pp. 61–66 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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AI Voice Detection Tool
Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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Enhanced Mechanical Properties of AZ31 Magnesium Alloy Composite Reinforced with Carbon Nanotubes and Nano hydroxyapatite
Abstract: Magnesium alloys represent a novel category of biodegradable materials, offering numerous advantages in addressing the limitations associated with conventional biomedical materials. Magnesium-based metallic biomaterials offer a promising solution for fixing fractures, ensuring effective treatment without the inconvenience of subsequent implant removal procedures. In the present work, AZ31 Mg-alloy was chosen as the base material. Five specimens were meticulously fabricated, each varying in weight percentages of reinforcement materials: 0wt%, 0.5wt%, 1wt%, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 206–217 Read article
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Aureobasidium pullulans- The Versatile Microcolonial Fungus for Industrial Production of Natural Products
Abstract: Aureobasidium pullulans, a yeast-like fungus, exhibits a remarkable capacity for synthesizing an extensive array of bioproducts with diverse industrial applications. This fungus is known to survive in several environmental conditions, making it a robust organism for biotechnological processes. The organism is characterized by its adaptability to various environmental conditions and habitats. It produces an array of extracellular enzymes such as amylases, lipases, proteases, and pectinases, contributing to its role as …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 19–31 Read article
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Problems and Difficulties in the Additive Manufacturing of Composites with Carbon Fiber Reinforcement for Medical Application
Abstract: Amputation is more prevalent than one may think due to an accident, war, or disease. Prosthetics and associated orthotics have a combined global market value of $2.8 billion. Carbon fibre has found a market due to increased demand for foot prostheses. Fused deposition modeling (FDM) is a rapidly advancing three-dimensional (3D) printing technique. PEEK (polyether-ether-ketone) is a biocompatible, high-performance polymer that could potentially be utilised as an orthopedic surgery implant …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 8–12 Read article
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Analysis of Ageing and Degradation Behavior of Polyamide-12 for Sustainable Additive Manufacturing
Abstract: Additive Manufacturing (AM), particularly High-Speed Sintering (HSS), has emerged as a transformative technology capable of producing complex thermoplastic parts with high efficiency and minimal material waste. The HSS process involves selective deposition of radiation-absorbing ink followed by infrared heating to consolidate polymer powders-most commonly polyamide-12 (PA12). While PA12 is widely used due to its excellent thermal stability and mechanical properties, the sustainability of HSS strongly depends on the reuse of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 136–154 Read article
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The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study
Abstract: The project titled "The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study" explores the significant influence of Emotional Intelligence (EI) on job crafting while also examining how demographic factors impact this relationship. In today’s evolving workplace, employees are increasingly reshaping their roles to align better with their skills, values, and motivational process known as job crafting. Emotional intelligence, which includes the capacity to identify, comprehend, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 15–23 Read article
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Enhancing Concrete Performance Through Ternary Mixtures: Utilizing SCBA and Silica Fume for Sustainable Construction
Abstract: This study investigates the effects of incorporating Sugarcane Bagasse Ash (SCBA) and Silica Fume (SF) as supplementary cementitious materials on the properties of concrete. Compressive strength, split tensile strength, and water absorption characteristics of ternary blended concrete mixes containing varying proportions of SCBA and SF were examined at curing periods of 7, 28, and 56 days. The results reveal that up to 15% SCBA replacement and 10% SF addition led …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 6–12 Read article
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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Variables Influencing the Reinforcing Effect of Organoclay in Polymer Nanocomposites
Abstract: This study examines how several factors affect the mechanical and thermal characteristics, such as tensile strength, tensile modulus, impact strength, thermal decomposition temperature, and Vicat softening point tests of poly(vinyl chloride)/organoclay nanocomposites. The variables included three different organoclay loading levels, three different screw rotation speeds, and three different plasticizer contents. A co-rotating twin-screw extruder was used to create the poly(vinyl chloride)/organoclay nanocomposite via the melt intercalation process. The properties of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 55–64 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article