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469 articles for “derivatives”
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Electro-chemical treatment of graphite oxide: preparation and Characterization of high quality Graphene material
Abstract: With the enlargement of flexibility and suitability in material industries, high-performance thermal management materials are demanded with high thermal conductivity and electrical insulation are growing. In recent years, graphene has received a numerous focus from science community due to its high thermal conductivity and electrical insulation. Fabrication of light weight graphene and its derivatives as graphene Oxide (GO) and reduced graphene oxide (rGO) via facile processing method is yet a …
Published in Journal of Polymer & Composites Read article
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Electro-chemical treatment of graphite oxide: preparation and Characterization of high quality Graphene material
Abstract: With the enlargement of flexibility and suitability in material industries, high-performance thermal management materials are demanded with high thermal conductivity and electrical insulation are growing. In recent years, graphene has received a numerous focus from science community due to its high thermal conductivity and electrical insulation. Fabrication of light weight graphene and its derivatives as graphene Oxide (GO) and reduced graphene oxide (rGO) via facile processing method is yet a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 25–36 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Advances in Biopolymer Based Nanocomposite Materials for Food Packaging Applications
Abstract: This Article provides an in-depth exploration of the recent innovations in biopolymer-based food packaging, highlighting natural materials like starches and proteins, as well as synthetic biopolymers such as polylactic acid (PLA). With the escalating global concerns about environmental degradation and the detrimental effects of plastic waste, there has been a growing emphasis on finding eco-friendly, biodegradable substitutes to reduce plastic pollution and dependence on fossil fuels. Among the biopolymer alternatives, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 390–404 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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POLYMER NANOCOMPOSITES AT THE NANOSCALE: A COMPREHENSIVE REVIEW WITH REFERENCE TO INDIAN REGULATIONS
Abstract: By combining the nanoscale reinforcements with polymer matrices, polymer nanocomposites have become one of the most promising classes of advanced materials with superior mechanical, thermal, electrical, barrier and multifunctional properties. This extensive review critically analyses the scientific advances made in polymer nanocomposites between 2000 and 2026, with focus on recent advances in polymer nanocomposite development, processing techniques, structure–property relationships and new applications. The review covers the impact of the nanofillers …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article