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99 articles for “heterogeneous environment”
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Synthesis of Magnetically Recoverable Nickel (II) Complex-Functionalized Fe3O4@ISNA (ISNA= Isonicotinic acid) Nanomaterials: Catalytic Studies on Nitrophenol Reduction and TD- DFT Studies
Abstract: In this study, we aimed to develop a novel, environmentally sustainable, and magnetically separable heterogeneous nanocatalyst, denoted as Fe3O4@ISNA@NiL (where L represents the ligand). The synthesis involved a two-step process, first, isonicotinic acid was chemically grafted onto the surface of iron oxide nanoparticles (Fe3O4) to introduce functional groups capable of further chemical modification. Subsequently, a nickel(II) Schiff base monomeric complex was anchored onto the modified surface, resulting in a nanocatalyst …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 88–96 Read article
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Synthesis of Magnetically Recoverable Nickel (II) Complex-Functionalized Fe 3 O 4 @ISNA (ISNA= Isonicotinic acid) Nanomaterials: Catalytic Studies on Nitrophenol Reduction and TD- DFT Studies
Abstract: In this study, we aimed to develop a novel, environmentally sustainable, and magnetically separable heterogeneous nanocatalyst, denoted as Fe 3 O 4 @ISNA@NiL (where L represents the ligand). The synthesis involved a two-step process, first, isonicotinic acid was chemically grafted onto the surface of iron oxide nanoparticles (Fe 3 O 4 ) to introduce functional groups capable of further chemical modification. Subsequently, a nickel(II) Schiff base monomeric complex was anchored …
Published in Journal of Polymer & Composites Read article
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Heterogeneous Catalysis in Industrial Applications: A Review
Abstract: In many industrial processes, heterogeneous catalysis is essential because it improves reaction speeds and selectivity and makes catalyst recovery and reuse possible. This review explores the fundamental principles and diverse applications of heterogeneous catalysis in industry, with a focus on its economic and environmental benefits. We examine the structure and function of various catalysts, including metals, oxides, and zeolites, and their application in key industrial processes such as petrochemical refining, …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 3, 2023 · pp. 17–23 Read article
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Advance in Spatial Statistics for Environmental Data Analysis
Abstract: Recent advancements in spatial statistics have significantly enhanced the analysis of environmental data, addressing complex spatial dependencies and offering robust methodologies for environmental monitoring, modeling, and decision-making. This abstract highlights key developments in the field, emphasizing their applications and impact. Geostatistical Methods, Improved geostatistical techniques, such as kriging and co-kriging, provide more accurate predictions of environmental variables by incorporating spatial correlation structures. Advanced kriging variants, including Bayesian kriging and machine …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 35–39 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage-controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis gave …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 202–222 Read article
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Performance Enhancement of Cognitive Radio Spectrum Sharing (CRSS) with MIMO System
Abstract: A key challenge in operating cognitive radios (CRs) in a self-organizing (ad hoc) network is to adaptively and efficiently allocate transmission powers and spectrum among CRs according to the surrounding environment. Cognitive radio networks will provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques. CR networks inflict challenges due to the fluctuating nature of the available spectrum, as well as the diverse QoS requirements …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 13–18 Read article
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Xenopsylla cheopis and Plague: Biology, Transmission, and Control
Abstract: Xenopsylla cheopis, the oriental rat flea, remains the most important vector of Yersinia pestis in classical rodent–flea–human plague cycles. Its biology is tightly adapted to commensal rats, especially Rattus rattus and Rattus norvegicus, whose nests provide microhabitats that support all pre adult stages and favour persistent flea populations near humans. The flea’s holometabolous life cycle, including the capacity for prolonged pupal quiescence and opportunistic host-seeking by adults, underpins its ability …
Published in International Journal of Insects · Vol. 3, Issue 2, 2026 Read article
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Recycling and Reinforcement of Retired EV Battery Materials in Polymer Composites for Sustainable Engineering Applications
Abstract: The rapid proliferation of electric vehicles (EVs) has led to a substantial increase in lithium-ion battery waste, necessitating sustainable strategies for material recovery and reuse. This review explores the valorization of retired Electrical Vehicle batteries within polymer and composite systems, highlighting second-life applications as a promising pathway toward circular material utilization. Batteries retaining 70–80% of their original capacity remain suitable for extended use; however, beyond conventional energy storage, their constituent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 362–371 Read article
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Preparation of Biodiesel from Karanja Oil using Homogeneous and Heterogeneous Catalyst
Abstract: In India, diesel consumption is increasing at an alarming rate which is increasing the import bill and the problems related to environment pollution. Biodiesel (BD) from non-edible oil like karanja is attractive feed stock for diesel engine. Due to high acid value of karanja oil (KO), a two-step process is necessary for BD production using homogeneous catalyst. In present study, BD was produced from KO by transesterification process using homogeneous …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 7, Issue 3, 2016 · pp. 23–37 Read article
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Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security
Abstract: As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 13–21 Read article
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An Use of Solar Energy Based Photocatalyst for Degradation of Water Pollutants
Abstract: Azo dyes/Dyes, pesticides, weedicide, etc. are highly harmful and carcinogenic in nature. Dyes especially azo dyes reduces fertility of soil. Treatment of dye pollution even pesticides, weedicides is challenging for environmentalists. The photocatalytic degradation of most of water-soluble organic pollutants by heterogeneous photocatalyst ZnO in the presence of sunlight is best and sustainable method. We also found the influence of different parameters like light intensity, temperature, amount of catalyst, pH …
Published in Journal of Catalyst & Catalysis · Vol. 3, Issue 3, 2016 · pp. 1–5 Read article
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Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation
Abstract: Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design. As computing systems grow increasingly heterogeneous and concurrent, traditional scheduling strategies often rely on heuristics or localized resource metrics, frequently overlooking the deeper, quantifiable relationships and uncertainties inherent in complex concurrent workloads. This study explores the application of information-theoretic approaches, specifically entropy-based task allocation, mutual information-driven dependency analysis, and channel capacity-inspired …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 31–39 Read article
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Use of Modified and Unmodified Calcium Oxide from Bio-resources as Heterogeneous Transesterification Catalyst for Biodiesel Synthesis: A Review
Abstract: Metal oxides have been widely used to catalyze various types of organic reaction, whatever supported or nonsupport metal oxide catalysts (supported with metal, mixed oxides and acids such as sulphoric acid). Calcium oxide is one of the most metal oxides used as heterogeneous catalysts; due to its favorable properties such as high activity, availability, low cost, and easily separated, as well as environmental friendly. Calcium oxide whether laboratory, prepared from …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 3, 2022 · pp. 30–34 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Role of Quantum Chemistry in Catalysis: A Comprehensive Review
Abstract: Catalysis plays a crucial role in modern chemical manufacturing, energy conversion, and environmental protection by enabling chemical reactions to occur more rapidly, selectively, and with reduced energy consumption. A fundamental understanding of catalytic processes at the atomic and electronic levels is essential for the rational design and optimization of catalysts. Quantum chemistry has emerged as a powerful theoretical and computational framework that enables detailed investigation of electronic structure, reaction energetics, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 01–16 Read article
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A Hierarchical Orchestration Framework for Parallelized Multi-Entity Web Ingestion and NoSQL Synchronization
Abstract: In the current EdTech sector, gathering structured data from various fragmented web portals is a major challenge for building reliable, real-time data systems. Standard sequential ETL (Extract, Transform, Load) pipelines often encounter significant bottlenecks, as a single failure in one module can halt the entire ingestion process. Furthermore, linear execution is often too slow to meet the demands for large, multi-category datasets. This paper presents a Modular Hierarchical Orchestration framework …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 1–6 Read article
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A comprehensive review on Sustainable Pathways to Synthesize 2, 5-Furandicarboxylic Acid (FDCA) from 5-Hydroxymethylfurfural (HMF) via Oxidative Processes
Abstract: The increasing global concern over the environmental impact of traditional plastics derived from petroleum and natural gas has spurred a search for more sustainable alternatives. Bioplastics, which are derived from renewable sources and may be biodegradable, have garnered significant interest as eco-friendly materials. Among the promising building blocks for bioplastics, 2,5-Furandicarboxylic Acid (FDCA) has emerged due to its potential to enhance polymer properties. One key precursor for bioplastics, 5-Hydroxymethylfurfural (5-HMF), …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 01–13 Read article
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Influence of Catalyst Type and Reaction Conditions on Biodiesel Conversion of Pine and Soapnut Oils
Abstract: Biodiesel produced from non-edible oils is becoming an important replacement for petroleum diesel because it is renewable, environmentally friendly, and suitable for use in existing diesel engines. It helps reduce air pollution, lowers dependence on fossil fuels, and supports sustainable energy development. Pine oil and soapnut oil are two promising non-edible feedstocks because they are easy to obtain, inexpensive, and contain chemical compounds that can be effectively converted into biodiesel. …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 39–48 Read article
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Solid Propellant and its Effect on the Environment
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Significant advances have been made during the last decade in the field of Space propulsion; various types of solid and liquid propellants are used in the rocket motor as fuel. In this paper we will discuss about the solid rocket propellant rather than the liquid one. Solid propellants are mostly heterogeneous (composite) made up of various ingredients which improve the burn rate …
Published in Journal of Aerospace Engineering & Technology · Vol. 2, Issue 2, 2012 · pp. 9–12 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article