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1600 articles for “dry”
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POTENTIAL BIOPRESERVATIVE EFFECT OF ANTIMICROBIAL PEPTIDES OF SEEDS OF Vigna unguiculata (Cow Pea) ON Hibiscus sabdariffa L. (Roselle) Calyces (Zobo) DRINK
Abstract: Natural and efficient food preservatives are in greater demand because of growing concerns about the safety and quality of processed beverages. Antimicrobial peptides have emerged as promising natural substitutes for synthetic preservatives, boasting advantages like wide-ranging activity and reduced toxicity. In this research, we investigate the inhibitory effects of these peptides against common spoilage microorganisms in 'Zobo' drink. Peptides were extracted and purified from germinated Vigna unguiculata) seeds harvested on …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 26–41 Read article
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Evaluate The Engineering Properties of Low Load-Carrying Capacity of Expansive Soil by Using Magnesium Chloride and Dry Leaf Ash Powder
Abstract: The swell-shrink behavior of expansive soils poses numerous challenges with the substructure and distress in infrastructures such as buildings, pavements, breast walls, etc. The behavior of expanding soil has been carefully examined by geotechnical engineers, who have then put adequate management techniques into place. Present investigation intends to investigate potential benefits of dry leaf ash (DLA) powder and magnesium chloride (MgCl2) to enhance geological characteristics of soil, particularly addressing problems …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 33–45 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Flexural Strength and Drilling Parameter of Natural Fiber Composites with Usage of Epoxy Resin
Abstract: An attempt that has been made to take use of the advantages offered by natural composite materials in light of the fast advancement of research and development in this field over the course of the previous two decades, from the laboratory to the factory floor. During the manufacturing process of laminates, polymer matrices are used, while cotton, jute, and sisal are utilised as reinforcing materials. Epoxy resin is used to …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 37–45 Read article
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Development of Shelf-stable Oral Rehydration Drink with Whey and Red seaweed (Kappaphycus alvarezii)
Abstract: The present study aimed at developing a whey based oral rehydration drink (ORD) incorporated with red seaweed. The ORD was formulated with seaweed, sodium chloride, potassium chloride and sugar at the concentrations of 1.0 w/v%, 0.20 w/v%, 0.075 w/v% and 15 w/v% respectively and a whey:water ratio of 1:1.5. The ORD with 1.0 w/v% seaweed obtained the highest overall sensorial acceptability. This drink was further subjected to storage study for …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 1, 2024 · pp. 20–27 Read article
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Chemical Profile and Toxicity of Fresh and Dry leaves of the Essential Oils of Vetiveria zizanioides (L.) Nash. From Southwest Nigeria
Abstract: The fresh and dry leaves of Vetiveria zizanioides (L.) Nash (Gramineae) plant was collected, air dried and authenticated at the University of Ibadan Herbarium with voucher number: UIH-23237. The plant's dried, fresh leaves were hydro distilled in a Clevenger device to extract the essential oils. The oils were characterized by Gas Chromatography-Mass Spectrometry (GC – MS) while the toxicity of the essential oils was tested using brine shrimps’ lethality assay. …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 1, 2024 · pp. 44–49 Read article
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Driver Drowsiness Alert System
Abstract: In the present era, the increasing frequency of accidents during prolonged road trips, primarily attributed to driver fatigue, is a matter of serious concern. Recognizing this challenge, our goal is to develop a driver drowsiness alert system to effectively address and alleviate these incidents. Theproposed system utilizes a webcam to capture real-time images of the driver's eyes, employingmachine learning algorithms to promptly identify signs of fatigue. Upon detecting drowsiness, the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Development of Formulation for Dry Powder Inhalation of Amino Acids Aimed at Smoking Cessation: A Biomedical Perspective
Abstract: This study aims to develop an effective and compliant therapy targeting the lungs through the strategic utilization of amino acids, which play a crucial role in modulating mood and behavior during activities like smoking. L-Tryptophan and L-Tyrosine were finely micronized within the 2–4 µm range, with lactose serving as a carrier, to create a dry powder inhalation formulation. The combination of these amino acids is anticipated to elicit a synergistic …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 18–36 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article
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DC Motor Speed Control Using Arduino & L298N Motor Driver
Abstract: The focus of this project is on developing a DC motor speed controller using an Arduino microcontroller and an L298N motor driver module. The goal is to create a flexible and effective system that can control the speed, direction of a DC motor through PWM signals generated by the Arduino. The project utilizes the Arduino platform for its flexibility, ease of programming, and wide availability of resources, while the L298N …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Next-generation Operating Systems: AI-driven Autonomy, Quantum Integration, and Edge Computing
Abstract: The rapid evolution of computing paradigms is driving the need for next-generation operating systems that seamlessly integrate artificial intelligence, quantum computing, and edge processing. Traditional operating systems, while efficient for classical computation, lack the necessary capabilities to handle real-time AI-driven decision-making, quantum processing, and decentralized edge networks. This study explores how future operating systems will incorporate AI-driven autonomy to enhance resource management, quantum integration to leverage superior computational power, and …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions
Abstract: Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot's mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 686–692 Read article
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Carboxymethyl Cellulose-Based Spray-Dried Microspheres: Recent Advances and Applications in Targeted Drug Delivery Systems
Abstract: Microspheres are spherical particles ranging from 1 to 1000 μm, made from natural or synthetic polymers and inorganic materials. Their structure allows precise drug delivery, improving targeted release and minimizing off-target effects. Natural polymers such as starch, chitosan, and alginate are favored for their biodegradability, adhesion, and compatibility, enhancing mucosal interaction and residence time. Microspheres are widely used in site-specific drug delivery, gene therapy, and vaccine administration, improving immunogenicity, extending …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 251–268 Read article
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Problems and Solutions for Air Conditioning in Tropical and Dry Climates
Abstract: Air conditioning systems are very important for keeping the indoors comfortable in both tropical and dry climates. However, the problems and performance standards are very different in these two areas. Tropical areas have high humidity and temperatures that range from moderate to high. Because of this, systems that can control both temperature and humidity levels are needed. On the other hand, dry climates have high temperatures and very little humidity, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 37–50 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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Sustainability Driven Marketing in the Polymer Composites Sector: Green Positioning and Circular Economy Strategies
Abstract: Marketing strategies have progressively shifted toward sustainability, fundamentally transforming the polymer composites sector. Green positioning focuses on showcasing a product’s environmental advantages, whereas circular economy strategies emphasize reuse, recycling, and waste reduction. These approaches have gained considerable interest amid rising consumer demand for eco-conscious products and stricter environmental regulations. Sustainable polymer composites contribute to lower carbon emissions and improved resource management. Such materials are particularly valuable in sectors where ecological …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 319–330 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Energy Savings due to passive strategies in contemporary high-rise residential building hot and dry climate
Abstract: Globally, the development of sustainable design techniques is becoming imperative, particularly with the idea of high-rise structures to keep up with the rapidly expanding cities. Approaching design sustainably by developing various sustainable methods is becoming necessary worldwide. Strategies for passive design may be useful in achieving the social, economic, and environmental goals of sustainability. This paper discusses the importance of passive design strategies in high-rise buildings, particularly in the context …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 99–103 Read article