Search
714 articles for “Research productivity”
-
Nanorobots: The Fight against Cholesterol
Abstract: Cardiovascular disease (CVD) rests leading reason of death globally, with atherosclerosis, the buildup of plaque in arteries, playing a central role. Current treatment strategies, including lifestyle changes and medications, often fall short in completely reversing or preventing the progression of atherosclerosis. This has spurred the exploration of innovative approaches, with nanorobotics emerging as a promising avenue for targeted plaque control and high-density lipoprotein (HDL) enhancement. This article discusses how nanorobots …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 23–32 Read article
-
Multiphysics Simulation and Thermal Characterization of VVER-1200 Steam Generator for Optimized Heat Transfer and Structural Integrity
Abstract: VVER-1200 is a Russian design reactor which consist of Two circuits comprising reactor core, piping, vertical steam generator, pressurizer, active and passive safety systems, turbine and generator. This reactor involves single phase flow from reactor core to steam generator (SG) where high pressurized water exchanges heat with normal water resulting in steam production. The flow is turbulent, which enables maximum efficiency to heat transfer. Using ANSYS Workbench's multi-physics simulation capabilities, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 7–15 Read article
-
On-Farm Demonstration of Improved Sorghum (Sorghum bicolor L. Moench) Technologies in Cluster based Large scale Approaches at Gofa Zone, Southern Ethiopia
Abstract: Sorghum is used as a source of food and cash for smallholder farmers in drought phrone areas of Gofa Zone. Farmers produce sorghum traditionally without proper management and input use and as a result yield obtained by farmers was far below the crop potential. Therefore, Arba Minch Agricultural Research Center carried out a cluster-based large-scale demonstration of improved sorghum in Melo-Koza and Zala Districts of the Gofa Zone in Southern …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 1, 2024 · pp. 23–30 Read article
-
Affordable Automation: Strategies for Cost Reduction and Efficiency Improvement in Daily Robotics
Abstract: The study examined how robotics technologies can increase productivity in industries. As we all know, artificial intelligence (AI) is on the rise in the market, and industries are becoming increasingly reliant on AI to handle multifaceted tasks. Robotics is one of the most prominent fields in manufacturing and science, where engineers are focusing on developing robots that can perform specific tasks and deliver accurate results. As technology progressed, by 2005, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 7–16 Read article
-
Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
-
A Review on Nanosponges Drug Delivery System
Abstract: The main issue that the researchers are dealing with is targeted medication delivery to locations. Crosslinking polymers produce nanosponges, which are three-dimensional drug delivery systems at the nanoscale. They have the benefit of having a large capacity to carry different-sized medications. There are numerous sizes and shapes for nanosponges. Compared to alternative delivery methods, nanosponges are preferable because they may offer a regulated medication release pattern with targeted Medication administration. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 68–76 Read article
-
User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
-
Implementation of Robotics in Pharmacy System
Abstract: Implementation of robotics are the essential aspects for development of the pharmacy sector. This replaces the medication (or) industrial process with new technology which results in significance of accurate and quality results. This technology aims to detect and ensure quality of finished products with new methodology which increases in productivity and it also identifies potential problems and rectify them which gives a great impact on pharmacy system. The main purpose …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 1–15 Read article
-
Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
-
Exploring Sustainable Fuel Production from Waste: A Feasibility Study in Zimbabwe
Abstract: Some organisms are in danger of going extinct, and environmental pollution from waste plastics, tires, and used lubricating oils has significantly contributed to the decline of biodiversity. Tires, plastics, and spent oil all contribute significantly to environmental deterioration, and this issue has been linked to improper treatment and disposal of these materials. Only 15% of the 200 auto technicians surveyed for this study acknowledged that they reuse spent oil, 5% …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 30–38 Read article
-
Accelerating Innovation: Design, Development, and Manufacturing of Artificial Intelligence- Enhanced Smart Electric Vehicles
Abstract: This research paper delves into the dynamic landscape of automotive engineering, focusing on the accelerated innovation facilitated by the integration of artificial intelligence (AI) in the design, development, and manufacturing processes of smart electric vehicles (SEVs). With sustainability and efficiency at the forefront of contemporary transportation initiatives, SEVs stand as a beacon of technological advancement, offering a paradigm shift towards eco-friendly mobility solutions. By harnessing the power of AI algorithms, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 9–25 Read article
-
Polymer Chemistry Solutions for C&D Waste Stabilization and Reuse in Construction Materials
Abstract: The construction and demolition (C&D) waste is among the largest streams of solid-waste in the world, which has posed significant environmental, economic, and resource utility issues. Common waste disposal techniques such as landfill and low-grade recycling contribute to destruction of the material and wasteful characteristics. Polymers as methods of stabilizing mixed C&D waste and converting it into a high-performance construction material have become one of the promising methods in recent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
-
Zinc Oxide Nanoparticles from Murayya koenigii: Antibacterial Potential Review
Abstract: Nanoparticles (NPs) display unique characteristics in contrast to conventional physico-chemical synthesis methods, and they are utilized in various life science fields including surface coating, catalysis, food packaging, corrosion prevention, environmental cleanup, electronics, biomedical applications, and antimicrobial purposes. Metal NPs synthesized through green methods, particularly from plant origins, have garnered significant interest because of their inherent traits such as environmental friendliness, quick production, and cost efficiency. Over the past few years, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 54–67 Read article
-
Methods Based on Machine Learning for Large-scale Classification of Crop Leaf Diseases
Abstract: Worldwide productivity of crops is seriously threatened by crop leaf diseases, which can result in large crop losses and negative economic effects. Effective disease management and crop protection depend on the early and precise detection and classification of these illnesses. Machine learning approaches have gained popularity recently due to their ability to automate procedures related to illness diagnosis and classification. An overview of the several machine learning–based methods used for …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 11–23 Read article
-
Alkylimidazolium Chloride Ionic Liquids as Green Additives in Rubber Composites: A Comprehensive Review
Abstract: The growing emphasis on sustainable and environmentally friendly materials has underscored the use of ionic liquids (ILs) as green additives in polymer science. Alkylimidazolium chloride ionic liquids (ACLs) have emerged as viable possibilities for improving the performance of rubber composites while minimizing the environmental impact of conventional processing aids. This research conducts a thorough examination of the function of ACls in rubber technology, focusing on their physicochemical features, interaction mechanisms …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–13 Read article
-
Image Enhancement Techniques for Digital Images
Abstract: In image processing, image enhancement is a challenging problem. Image enhancement aims to process an image in a way that makes the final product better suited for a particular application than the original. There are numerous ways to improve the quality of images using digital image enhancement techniques. It is crucial to use these techniques correctly. Image enhancement is a critical aspect of image processing, focusing on improving the visual …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 14–18 Read article
-
Electric Scooty Purchasing Recommendations Using Customer Review
Abstract: As environmental awareness and sustainable practices have grown, E-scooters, often known as electric scooters, have gained popularity as a replacement for traditional automobiles. This research focuses on developing a recommendation framework for purchasing e-scooters, leveraging customer reviews as the primary data source. By analyzing reviews from diverse platforms, the framework aims to identify critical factors influencing customer satisfaction, including performance, battery life, design, comfort, and cost-efficiency. When we are considering …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 92–102 Read article
-
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
-
Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare
Abstract: Ayurveda stands as one of the most ancient healing systems. It takes a full-circle view of health zooming in on nature’s cures tailoring treatments and tweaking daily habits. But getting your hands on real Ayurvedic treatment can be tough. Not enough pros with the right certs, not to mention the real-deal herbal Things. So here’s a thought: the Ayurveda Medicine and Doctor Finder App. It’s this cool app mash-up of …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 31–37 Read article