Search
207 articles for “Gene drive technology”
-
Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
-
Performance Assessment of External Source-Driven Binary Vapor Cycles with Ammonia-Water and Trans-Critical CO2: The Impact of Reheating and Pressure Variations
Abstract: This study examines the thermodynamic performance of binary vapor cycles, specifically analysing two working fluid combinations: ammonia-water mixtures and trans-critical carbon dioxide (CO2). The study aims to evaluate their efficiency, applicability, and potential for improving energy conversion systems in various thermal applications. The analysis investigates how incorporating reheating processes and adjusting operating pressures impact system performance. These two parameters play a critical role in enhancing cycle efficiency and maximizing energy …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 42–49 Read article
-
A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
-
Law Students and the Use of Technology: Transforming Legal Education in the Digital Era
Abstract: The legal profession is undergoing a digital revolution, making the integration of technology into legal education essential. Traditional learning methods are evolving with the use of digital tools, legal databases, AI-driven research, and virtual platforms, preparing future lawyers for a rapidly changing, technology-driven legal landscape. Traditional methods of legal study, which relied heavily on printed case law books and in-person moot courts, are now being supplemented with advanced digital tools. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 25–29 Read article
-
Harnessing AI and NLP to Transform Pharma Education Personalization, Learning, and Skill Development
Abstract: Particularly with NLP technologies, it is revolutionizing pharmaceutical education, enhancing human creativity, personalizing learning, and improving student outcomes. AI models like those from Open AI’s Chat GPT are increasingly integrated into educational practices that offer a solution to issues, such as teacher shortages, resource limitations, and the inefficient use of traditional teaching methods. This paper explores the diverse ways through which AI and NLP technologies are transforming pharma education within …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 7–13 Read article
-
Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
-
FLUTTERCHAT: A Real-time Firebase Chat Application with AI-based Chatbot
Abstract: Recently, the development and deployment of chatbots have gathered significant attention from both developers and researchers. Chatbots represent AI-driven conversational systems capable of understanding and responding to human language using advanced techniques like Natural Language Processing (NLP) and Neural Networks (NN). A cutting-edge real-time chat application has been crafted using Flutter and OpenAI, seamlessly integrating an AI-powered chatbot with an innovative image generator to enrich user interaction and engagement. The …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 42–51 Read article
-
E-Empire: Brake & Acceleration In E-Cycle
Abstract: As e-cycles continue to gain momentum as an eco-friendly and efficient mode of transportation, understanding their key mechanical and electronic systems becomes even more vital. The report delves deeply into the nuances of braking mechanisms and acceleration technologies, emphasizing their roles in enhancing both safety and performance. By comparing mechanical disc brakes with hydraulic systems, it highlights the distinct advantages of each. For instance, hydraulic brakes, known for their superior …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 Read article
-
Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
-
Academia to Industry: The Impact of AI on Information Retrieval Technologies
Abstract: Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
-
Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
-
Performance Optimization of Photovoltaic-thermal (PVT) Systems: A Comprehensive Review of Design and Efficiency Enhancements
Abstract: The desire for renewable energy solutions and the rising demand for energy worldwide have driven important developments in hybrid photovoltaic-thermal systems. Photovoltaic-thermal systems provide the advantages of both thermal energy collection and electrical energy generation as they integrate photovoltaic and thermal collectors into a single module. However, a number of variables, including system architecture, material choice, cooling systems, and ambient circumstances, affect how well they function. The goal of this …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 2, 2024 · pp. 9–16 Read article
-
Comprehensive Review of Adenoid Cystic Carcinoma: Pathogenesis, Diagnosis, and Emerging Therapeutic Approaches
Abstract: Adenoid cystic carcinoma (ACC)is an infrequent neoplasm, highly malignant, that develops mainly in the salivary glands with the potential to exist in any secretory glandular sites, including the lacrimal glands, breast, and respiratory tract. ACC usually has a benign initial course, but conversely, it is notoriously aggressive in behavior with high incidence of perineural invasion, local recurrence, and distant metastasis, mostly to the lungs. The tumor’s molecular features are characterized …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–17 Read article
-
Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
-
Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
-
Next-Generation Polymer Recycling for Circular and Sustainable Plastics
Abstract: Plastic waste has emerged as a serious global environmental issue because of the enormous quantities produced over the past several decades. Moreover, the continual rise in plastic production, coupled with low recycling rates, results in the steady accumulation of plastic in the environment each year. In addition, manufacturing new polymers consumes substantial amounts of energy and fossil fuel resources. Although renewable energy can reduce emissions to a great extent, still …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 517–526 Read article
-
Zn Doped CuO Nanoparticles for Increasing the Longevity of The Agricultural Products †
Abstract: Nanotechnology is an enabling technology at the service of mankind. Indeed, enhancing the long-term storage of agricultural products (post-harvest during transportation and storage) in general and apples and tomatoes, in particular, is a challenge. Zn-doped CuO is a proven nanomaterial with special ability to kill plant pathogens as well as a variety of microorganisms (bacteria, virus, and fungus). Much of the review is focused on the landmark papers published by …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 14–29 Read article
-
Silent Submarine Propulsion with High-Efficiency Magnetohydrodynamic Drive
Abstract: Magnetohydrodynamic (MHD) propulsion is an exciting technology that can be easily incorporated into a new submarine or existing one can also be upgraded by replacing the propeller drive with a MHD drive without difficulty. This new technology would provide many advantages like a stealth operation, no cavitation, greater maneuverability, increased payload, addition of an emergency drive system, etc. The design of an MHD motor is very simple and consists of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 41–55 Read article
-
Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
-
Predictive Learning Powered by AI and Sophisticated Student Engagement Techniques
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article