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1974 articles for “L- glycine. apparent molal volume(Фv). density(ρ). ph. Viscosity B- coefficients. etc” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Microplastics Contaminated Mullet (Mugil cephalus) (Linnaeus, 1758) from the Lower Forcados River, Burutu, Delta State, Nigeria
Abstract: The increasing contamination of the environment by microplastics (MP) in various forms is a consequence of modern lifestyle advancements and has emerged as a significant environmental hazard. The digestive tracts of 36 specimens of the economic mullet (Mugil cephalus) were investigated between March 2022 and March 2023 from the lower Forcados River, Burutu, Delta State, Nigeria. A total of 96 MP particles were extracted from 18 fish out of the …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 29–37 Read article
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Crystalline and Polymeric Interactions in Multi- layered Bulletproof Glass: A Study of Ballistic Resistance and Structural Integrity
Abstract: Bulletproof glass is engineered to withstand high-impact projectiles, offering a critical line of defense in various industries such as banking, military, and armored vehicles. This study explores the structural composition, energy absorption mechanisms, and performance characteristics of bulletproof glass when exposed to ballistic threats. The glass consists of layered constructions, often involving polycarbonate and adhesive interfaces such as polyvinyl butyral, which enhance its energy absorption and resistance to projectiles. The …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article
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Harnessing Biomass for Sustainable Insect Farming and Biotechnology: Ecological Roles, Industrial Applications, and Future Opportunities
Abstract: Biomass, derived from biological materials, such as plant residues, animal waste, and agricultural by-products, plays a pivotal role in ecological systems, including those involving insects. Insects interact with biomass at multiple levels, serving as decomposers, pollinators, and converters of organic matter into valuable resources. The integration of biomass into insect ecology and farming has garnered significant attention for its potential in sustainable agriculture, waste management, and biotechnology. This review highlights …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article
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Screening Some Sorghum (Sorghum Bicolor L. Moench) Genotypes for Yield and Resistance Against Stem Borer (Sesamia Calamistis) in Nigeria
Abstract: Sorghum is a staple crop with global significance, scientifically it’s known as Sorghum Bicolor, stands as one of the most important cereal crops globally, particularly in regions with arid and semi-arid climates. Sorghum remains a cornerstone of agricultural economies worldwide with its widespread cultivation and diverse applications; however, its production is often hindered by various biotic stresses, with stem borer (Sesamia calamistis) infestation being a significant concern. The stem borer …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 1, 2025 · pp. 50–55 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Polymer-Integrated Smart Biomedical Waste Management System Using AI and Sensor-Based Segregation
Abstract: Biomedical waste, which comes from healthcare facilities like hospitals, clinics, and labs, includes both infectious and non-infectious materials. This can range from sharps and pathological waste to pharmaceutical leftovers and general medical trash. If this waste isn't handled, sorted, and disposed of properly, it can pose serious contamination risks, leading to infections, workplace hazards, environmental damage, and public health emergencies. Traditional biomedical waste management often relies on manual sorting, which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 172–184 Read article
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Advances in Biopolymer-Based Surgical Implants: A Polymer Chemistry Perspective
Abstract: Biopolymers have emerged as a promising class of materials for surgical implants due to their biocompatibility, biodegradability, and ability to mimic natural tissue properties. These materials play a crucial role in modern biomedical engineering by reducing adverse immune responses and enhancing tissue integration. This paper explores the role of polymer chemistry in developing biopolymer-based surgical implants, highlighting key polymeric materials. These polymers are making them suitable for diverse biomedical applications. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1–6 Read article
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Comparative Analysis of Eco Friendly Brick with Red Bricks
Abstract: This research presents a comparative analysis between conventional red bricks and eco-friendly bricks made from mud, rice husk, and dry plant leaves. The aim is to evaluate the potential of using sustainable, low-cost, and locally available agricultural waste materials in brick production as an environmentally conscious alternative to traditional methods. The eco-bricks were manufactured without kiln firing, significantly reducing energy consumption and carbon emissions. A series of laboratory tests—including compressive …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 42–46 Read article
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Assessment of Noise Pollution Level in Port Harcourt City: a Location Based Comparative Study
Abstract: Noise pollution has emerged as a significant environmental health concern in urban centers, particularly in rapidly developing cities like Port Harcourt, Nigeria. This study presents a comprehensive, location-based comparative assessment of ambient noise levels across selected zones within Port Harcourt metropolis, including residential, commercial, industrial, and traffic-dense areas. Sound level measurements were conducted in the different areas of Port-Harcourt metropolis. High-density and low-density residential neighborhoods, busy roadways, business centers, road …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 7–17 Read article
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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Impact of Specially Prepared Food on Indian Big Carp Growth in West Bengal, India’s Cooch Behar District
Abstract: This four-year longitudinal study (2008–2012) in the Cooch Behar District of West Bengal, India, utilized on-farm ponds to evaluate the comparative growth performance of Indian Major Carps (IMCs) – Catla catla, Labeo rohita, and Cirrhinus mrigala – when subjected to four distinct supplementary feed formulations: fishmeal (A), soybean meal (B), silkworm pupae (C), and mustard oilcake (D). The experimental design contrasted treated ponds receiving formulated feed against control ponds relying …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Comparative Study of Bioactive Phytochemicals from Hexane Extract of Two Amaranthaceae Leafy Vegetables by GC-MS Method
Abstract: Amaranthus tricolor Linn and Amaranthus viridis Linn, belonging to the Amaranthaceae family, are popularly consumed leafy vegetables in India and many other countries globally. The bioactive components of Hexane extract from these two plants have been analysed using gas chromatography-mass spectrometry (GC–MS) technique. According to analysis, both species contain a total of nineteen important chemicals. Of these, ten were found in A. tricolour L. and nine in A. viridis L. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 7–17 Read article
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Composite Behavior of Bagasse Ash Stabilized Expansive Soil with Sodium Benzophenone Under Curing Conditions
Abstract: The present investigation examines the development of a hybrid composite using Black Cotton (BC) soil, Bagasse Ash (BA), and Sodium Benzophenone (SBP) as performance-enhancing elements. Different ratios of BA, a silica-rich agro-industrial by-product, were added to improve pozzolanic reactivity and particle size distribution (0%, 6%, and 12%). SBP was added in the range of 0–0.6% as a compatibilizer in order to enhance interfacial adhesion, particle cohesivity and moisture-assisted deterioration resistance. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1134–1146 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology
Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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In Vivo Hypoglycemic Activity of Aqueous Leaf and Root Extracts of Macaranga Barteri Müll. Arg. (Euphorbiaceae) In Swiss Albino Mice
Abstract: Background: Macaranga barteri Müll. Arg. is a perennial plant in the family Euphorbiaceae and is used in African traditional medicine for the management of several ailments, including diabetes. Although the leaves and stem bark have been studied for various pharmacological activities, little is known about the therapeutic value of the roots. Objective: This study evaluated the in vivo hypoglycemic activity of aqueous leaf and root extracts of M. barteri in …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 · pp. 60–78 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–11 Read article