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1381 articles for “Activity”
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Development of a Natural Fiber Sand–Carbon Composite Filter Using Agave sisalana for Sustainable Domestic Sewage Treatment
Abstract: This study presents an innovative approach to decentralized domestic sewage treatment by integrating Agave sisalana fibers as the core functional component within a composite filtration system. The filtration column was constructed using a vertical 1:3:1 layered configuration comprising silica sand (top), Agave sisalana fibers (middle), and activated carbon (bottom). Comprehensive experimental analyses were conducted to evaluate the system’s efficacy in removing key water quality parameters, including turbidity, total solids (TS), …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 43–51 Read article
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Analysis of Project Management Optimization Using CPM and PERT in a Dynamic Business Environment
Abstract: In the current fast-changing business environment, organizations must remain agile and strategically responsive to unpredictable challenges such as supply chain disruptions, shifting consumer demands, and evolving market trends. Project management techniques like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) serve as valuable tools in helping businesses manage these complexities effectively. CPM is a time-focused method that identifies the longest sequence of dependent tasks in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 Read article
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Curry Leaf Extracts as a Natural Antimicrobial Agent for Eco-Friendly Tomato Disease Control
Abstract: Tomatoes (Solanum lycopersicum) are a vital horticultural crop worldwide, valued for their nutritional and economic importance. However, bacterial diseases significantly threaten yield and quality. This study investigates the antimicrobial potential of Murraya koenigii (curry leaf) extracts as a sustainable alternative to synthetic pesticides. Ethyl acetate, methanol, and aqueous extracts were prepared and tested at 50 and 200 µg/mL against Xanthomonas campestris and Pseudomonas syringae. Ethyl acetate extracts exhibited superior antimicrobial …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 54–58 Read article
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Solar Wireless EV Charging System
Abstract: This project presents a Solar Wireless Electric Vehicle (EV) Charging System that integrates solar energy with inductive wireless power transfer (WPT) to achieve a sustainable and eco-friendly charging approach. The proposed system utilizes a 12V solar panel as the primary renewable energy source, which charges a 3.7V lithium-ion battery through a transistor-based control circuit. This stored solar energy then powers the primary coil, generating an alternating magnetic field that enables …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 14–20 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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Fertiledata: Advanced Strategies For Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Multifunctional and Photocatalytic Properties of DyFeO₃/Dy₃Fe₅O₁₂ Biphasic Nanoparticles
Abstract: Rare-earth orthoferrites constitute a class of compounds that exhibit remarkable magnetic, optical, and electronic properties across a wide temperature range. In the present study, a dysprosium-based orthoferrite containing dual phases of DyFeO₃ perovskite and Dy₃Fe₅O₁₂ garnet was successfully synthesized via the co-precipitation technique. X-ray diffraction (XRD) analysis was employed to investigate the structural configuration of the synthesized material. The diffraction pattern confirmed the formation of a biphasic composite comprising orthorhombic …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 41–54 Read article
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Experimental Study on the Effect of Membranous Milkvetch and Ledebouriella divaricate Immunomodulatory Tablets on cytokine production in allergic rhinitis model mice
Abstract: We have established allergic rhinitis models for use in the treatment of allergic rhinitis with the help of the traditionall Koryo medicine administration, lade-screen Powder-extracted Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablet and the effect of lade-screen Powder on cytokine production in allergic rhinitis model mice. In the allergic rhinitis model, the administration of Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablets, along with Lade-screen Powder, demonstrated significant therapeutic effects. These …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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A Comparative Analytical Study on Gandhaka Ointment Prepared by Two Different Oleaginous Bases – As a Thesis Article
Abstract: Gandhaka (purified sulphur) is broadly used in Ayurvedic dermatological preparations, particularly in Malahara Kalpana (ointment formulations), due to its well-known antimicrobial and skin-healing properties. Although classical Ayurvedic texts, such as Rasa Shastra and Bhaishajya Kalpana, do not directly mention Gandhaka ointment, Rasatarangini by Acharya Sadanand Sharma describes four discrete methods for preparing Gandhaka Taila (sulphur-infused oil). In this study, the third method was selected to prepare Gandhaka Taila using two …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 27–39 Read article
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IoT Based Smart Plant Watering System
Abstract: Effective water management in plant irrigation is essential for resource conservation and sustaining robust plant development in the age of smart technologies. This project introduces a NodeMCU microcontroller-based Internet of Things (IoT) smart plant pump control system designed to automate irrigation procedures based on real-time environmental data. A soil moisture sensor built within the system continuously checks the soil's moisture content. The NodeMCU activates the water pump to irrigate the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 8–13 Read article
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VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article
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NutriHeart with Chatbot
Abstract: Heart disease stands as one of the world's principal reasons for human deaths since it causes major preventable fatalities each year. Healthcare institutions currently explore machine learning (ML) integration for establishing new approaches toward predicting, and acting ahead of healthcare developments. NutriHeart presents an AI-based platform that accomplishes cardiovascular risk detection early and extends heart wellness by delivering customized nutritional and lifestyle recommendations. Using Support Vector Machines (SVM) along with …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 22–34 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Nuclear Reactor Safety Using Fuel Pallet: A Study
Abstract: Nuclear power stands as a vital source of low-carbon electricity, but its widespread acceptance hinges critically on unwavering safety. While public perception often focuses on massive containment buildings, intricate cooling systems, and redundant backup power, a less visible yet fundamentally crucial component plays a paramount role in safety. There is much more to these tiny, cylindrical ceramic pellets than just fissionable material. As an essential part of a reactor's defense-in-depth …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 16–23 Read article
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Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
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In-Silico Repurposing of Antipsychotic Drugs Against Novel Protein Targets in Multidrug-Resistant Mycobacterium tuberculosis
Abstract: Multidrug-resistant TB is a growing worldwide health concern, particularly in high-burden areas. Resistance to frontline drugs like isoniazid and rifampicin is caused by mutations in key Mycobacterium tuberculosis proteins. Given the difficulty of developing new antibiotics, medication repurposing offers a good alternative. The potential use of molecular docking to target resistance-associated TB proteins with FDA-approved antipsychotic drugs is investigated in this work. Three proteins were selected: InhA (PDB ID: 5W07), …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 49–63 Read article
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Pharmacological Comparison of Turmeric and Non-Steroidal Anti-Inflammatory Drugs in Pain Relief
Abstract: Pain is one of the most frequently encountered clinical symptoms affecting millions globally and is typically treated pharmacologically with nonsteroidal anti-inflammatory drugs (NSAIDs). However, long-term use of NSAIDs is associated with adverse effects such as gastrointestinal, renal, and cardiovascular issues. In recent years, turmeric and its main active compound, curcumin, have received considerable attention for their reported anti-inflammatory, analgesic, and antioxidant properties as natural therapeutic options. This review seeks to …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 19–28 Read article
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Enhancing Mechanical and Durability Properties of Coconut Shell Concrete Using Fly Ash
Abstract: The increasing demand for sustainable and lightweight construction materials has driven research into alternative aggregates for concrete production. This study investigates the mechanical and durability properties of coconut shell (CS) concrete with varying percentages of fly ash replacement. The research evaluates compressive strength, split tensile strength, water absorption, and workability to determine the feasibility of CS concrete as a structural material. Experimental findings indicate that incorporating 10% fly ash (CSF10 …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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Securing the Internet of Things: A Survey on Lightweight Blockchain Framework for Enhancing Security and Privacy
Abstract: Modern technologies, supported by the Internet of Things (IoT), have imparted great speed in data sharing between connected devices across several domains of the economy. The Internet of things transformed data collection activities with its creation of smart homes and cities, healthcare, transportation environments, and industrial automation. The fact that there are multiple resource-limited devices, and continuous data transfer of sensitive information has turned the IoT devices less secure and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 6–14 Read article