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1893 articles for “pre-processing”
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Heavy Metal Removal from Textile Industrial Effluent using Banana Exocarp Derived Cellulose Acetate Graphene Nanocomposite Membranes
Abstract: The disposal of textile effluent is responsible for serious human health concerns and above all environmental concerns to all kind of species. This indicates that there is immediate and urgent need of emerging, efficient with sustainable recycling technologies. In this paper, banana exocarp as agriculture-based waste, in terms of substrate was utilised as major raw material. The extracted cellulose from the substrate with homogeneous acetylation process, transformed into cellulose acetate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 51–62 Read article
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Role of Nail Pilar Assisted Dermabrasion in Scald Burns
Abstract: Second-degree deep dermal and full-thickness burn injuries tend to heal slowly and often result in scarring. Deep dermal burns, which extend beyond the superficial layers of the skin, require prompt and specialized medical intervention to promote effective healing. While superficial burns, which involve only the epidermis and superficial dermal layers, can often be managed through wound irrigation, debridement, and standard local wound care, deeper burns present more complex challenges. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Crafting Consumer Experiences: The Psychology of Retail Interior Design
Abstract: The psychology of retail interior design and its influence on consumer behaviour. Drawing upon theories from environmental psychology, consumer behaviour, and retail management, the study investigates how design elements such as colour, lighting, spatial layout, and sensory experiences shape consumer perceptions, emotions, and decision-making processes in retail environments. A comprehensive review of existing literature provides insights into established theories and previous research findings related to retail interior design and consumer …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 1, 2024 · pp. 18–29 Read article
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Enhancing Efficiency and Adaptability of Double Pipe Heat Exchangers: Design and Implementation Perspectives
Abstract: The present study focuses on exploring the intricacies of twin pipe heat exchangers, highlighting their versatility and efficiency in various industrial applications. Twin pipe heat exchangers consist of concentric pipes through which fluids flow in opposite directions, enabling effective heat transfer across significant temperature gradients. This design is particularly advantageous in scenarios involving low flow rates or highly viscous fluids, as well as moderate heat loads. One of the key …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 63–70 Read article
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Development of 3D Printing Filaments from Industrial Waste Plastics
Abstract: The global plastic waste crisis has prompted innovative approaches to sustainable material reuse, particularly in additive manufacturing. Simultaneously, the accumulation of plastic waste presents significant environmental concerns. Recycling plastic into filament supports eco-friendly innovation and brings us closer to a circular economy where materials are reused instead of thrown away. This study investigates the development of 3D printing filaments from industrial waste plastics, including polypropylene (PP), acrylonitrile butadiene styrene (ABS), …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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Physicochemical Parameters for Water-Environment Quality Testing: A Review
Abstract: The increasing threat posed by contaminants in air, water, and soil is a pressing issue globally, exacerbated by population growth, industrialization, and agricultural practices. These factors contribute to significant water pollution, introducing harmful substances that compromise human health. Natural processes, such as weathering and soil leaching, alongside mining activities, further degrade water quality. Regular monitoring of drinking water is essential, as contaminated sources can lead to a variety of waterborne …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 08–12 Read article
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Sustainable Concrete Solutions: Chemically Predictive Modeling of Geopolymer Versus Ordinary Concrete in a Circular Economy
Abstract: Concrete is a fundamental structural material widely used in civil engineering projects. It plays a key role in various types of building structures, with its quality directly influencing the durability of the construction. This research focuses on assessing the current state of concrete construction, highlighting critical issues and technical aspects in the process, while emphasizing the importance of improving construction quality and management practices. Geopolymer concrete (GPC) presents a viable …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 170–192 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Liposomes Innovative Role as a Drug Delivery System: A Detailed Analysis
Abstract: The first nanomedicine to be approved for use in clinical settings was liposomes. These are the spherical vesicles with a bilayer of phospholipids enclosing a middle empty aqueous region. Because of their extraordinary potential to stop medication deterioration and lessen unwanted effects, liposomes are being utilized more and more for targeted drug distribution. For targeted drug delivery, the pharmaceuticals can be integrated into the liposomes' aqueous space or phospholipid bilayer. …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 25–32 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Coupled Magneto–Thermal–Diffusion Transport in an Unsteady Maxwell Polymer Fluid with Activation Energy over a Porous Stretching Surface
Abstract: The present study investigates the combined effects of activation energy and diffusion-thermo (Dufour) processes on unsteady magnetohydrodynamic (MHD) flow, heat, and mass transfer of a Maxwell viscoelastic fluid past a porous exponentially stretching vertical sheet. The electrically conducting and incompressible polymeric fluid flows through a saturated porous medium under a transverse magnetic field. The governing momentum, energy, and concentration equations are transformed into nonlinear ordinary differential equations using similarity transformations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 581–590 Read article
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Advancements in Method Development and Validation for Levocetirizine: A Comprehensive Review
Abstract: This review article delves into the intricate realm of concurrent estimation of multiple compounds, with a specific emphasis on Levocetirizine and its related substances. It looks into how to improve analytical process specificity by using reverse phase high-performance liquid chromatography (RP-HPLC) in conjunction with UV detection. The study meticulously explores the intricacies of method development and validation, offering invaluable insights into the realms of precision and accuracy within pharmaceutical analysis. …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 15–27 Read article
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Design and Implementation of an Automatic Tea Vending Machine Using Arduino Uno and Android-Based Customization System
Abstract: The Android app-based Automatic Tea Vending Machines are a clever and creative way to automate the tea-making process while providing consumers with a customized experience. The Arduino Uno microcontroller, which powers key functions like ingredient delivery, water heating, and customizable settings, is the foundation of this system. To ensure consistent and superior tea preparation, a kettle is used to heat water to the ideal temperature. Users may simply and remotely …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Nano- Catalysts for Enhanced Performance in Hydrogenation Reactions
Abstract: The development of nano-catalysts has revolutionized the field of hydrogenation reactions, offering unparalleled efficiency and selectivity. This study explores the synthesis, characterization, and application of novel nano-catalysts designed to enhance hydrogenation processes. By leveraging advanced materials science techniques, we have engineered catalysts with precisely controlled particle sizes, shapes, and surface properties. These nano-catalysts exhibit remarkable activity and stability, attributed to their high surface area-to-volume ratios and unique electronic structures. Our …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 22–27 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Automatic Gas Leakage Detection System
Abstract: This project report presents the design and implementation of a focused automatic gas leakage detection and ventilation system centered on the Arduino Nano microcontroller and the MQ-2 gas sensor. The primary function of the system is to detect flammable gases like LPG, propane, and methane using the MQ-2 gas sensor. This sensor continuously monitors the surrounding air for the presence of these gases. When the gas concentration crosses a predefined …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 29–35 Read article
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A Sustainable and Green Prototyping Framework for Low-carbon and Resource-efficient Virtual Product Development
Abstract: The increasing emphasis on sustainable manufacturing has intensified the need for environmentally responsible design and development methodologies for polymer and polymer-composite materials, where material selection, processing routes, and waste generation play a critical role in overall environmental impact. This paper presents a Sustainable and Green Prototyping (SGP) framework that integrates Virtual Prototyping (VP), Life Cycle Assessment (LCA), and multi-objective optimization to systematically reduce carbon footprint, energy consumption, and material waste …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 459–471 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article