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1945 articles for “genes” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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A Review of Torque Ripple Reduction Techniques in Switched Reluctance Motors
Abstract: Switched Reluctance Motors (SRMs) have emerged as a promising alternative to conventional motor technologies due to their rugged structure, low manufacturing cost, high-temperature capability, and suitability for harsh environments. Despite these advantages, the widespread adoption of SRMs in applications such as electric vehicles, household appliances, industrial drives, and aerospace systems is significantly restricted by the issue of torque ripple. Torque ripple manifests as periodic fluctuations in the developed electromagnetic torque, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 45–50 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Spintronic Logic Circuits for Ultrafast Processing
Abstract: Spintronic logic has emerged as one of the most promising post-CMOS paradigms capable of addressing the speed, density, and energy challenges of deeply scaled silicon technologies. By relying on the intrinsic properties of electron spin and magnetization dynamics, spintronic devices—particularly Magnetic Tunnel Junctions (MTJs), Spin-Transfer Torque (STT), and Spin–Orbit Torque (SOT) structures—enable ultrafast, non-volatile data processing with significantly reduced energy consumption. Despite remarkable device-level advancements, circuit- level realization of high-speed, …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 35–43 Read article
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A Review on Microbial Enzymes in the Food Industry: Current Innovations and Future Prospects
Abstract: Over the past few decades, microbial enzymes have become indispensable biocatalysts in food production, fundamentally revolutionizing how we approach manufacturing processes while simultaneously enhancing the quality of what we produce. Today, approximately 200 of the 4,000 known enzymes are deployed commercially with proteases, amylases, lipases, and lactases leading the charge in industrial food applications. This review brings together the latest innovations in how we use microbial enzymes for food processing, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 43–53 Read article
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A Theoretical Model for a Fermi–Boson Hybrid Particle in Nuclear and Particle Physics
Abstract: We present a theoretical model for a Fermi–Boson Hybrid Particle (FBHP) that unifies fermionic half-integer spin matter fields with bosonic integer-spin force fields within a single quantum framework. By extending conventional quantum field theory, a hybrid creation operator is formulated that combines fermionic and bosonic operators through a continuous mixing parameter, allowing smooth interpolation between Fermi–Dirac and Bose–Einstein statistical behaviour. A generalized statistical mechanics formalism is developed, leading to quantitative …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 10–18 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Perfluorinated Composites for Optical Fiber Development for Optical Communications
Abstract: Free Space Optical (FSO) communication is a new generation of high-speed technology that utilizes light as the carrier to transfer information through free space, e.g., air, outer space, and vacuum. In comparison with traditional systems of communication, FSO offers a wonderful bandwidth advantage with less cost and ease of installation. This study compares the performance of two other FSO systems using advanced polymer composites such as Perfluorinated polymers in designing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 661–674 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Stability-Indicating Rp-Hplc Development and Validation for the Estimation of Lercanidipine Hydrochloride Content in Tablet Dosage Form
Abstract: A sensitive, stability-revealing, and easy reverse-phase high-performance liquid chromatographic (RP-HPLC) technique was developed and rationalized to be in a position to determine Lercanidipine hydrochloride in ingested dosing preparations. It was separated by chromatography on a C 18 column using a mobile phase containing 10 mM potassium dihydrogen phosphate buffer and methanol (20:80, v/v; pH 4.0) at a flow rate of 1.0 mL/min and UV detected at 258 nm. The retention …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 17–26 Read article
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Magnetic Metal–Polymer Composites with Ferromagnetic Particle Networks for EMI Shielding in Flexible Electronics
Abstract: The rapid expansion of flexible and wearable electronic systems has intensified the demand for lightweight, mechanically compliant materials capable of effective electromagnetic interference (EMI) shielding. In this study, magnetic metal–polymer composites with magnetically aligned ferromagnetic particle networks were developed and systematically investigated for EMI shielding in flexible electronics. Thermoplastic polyurethane (TPU) was employed as an elastomeric polymer matrix due to its excellent flexibility, dielectric characteristics, and compatibility with particulate fillers. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 25–39 Read article
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Integrating Livestock for Enhancing Sustainability of Soil, Water and Agroecosystem: Implications from a One Health Perspective
Abstract: Livestock systems play a pivotal role in sustaining environmental health, enhancing ecosystem services, and supporting agricultural productivity. Well-managed integration of livestock into agroecosystems contributes to soil fertility through organic matter deposition, microbial stimulation, and nutrient cycling, while improving soil structure and long-term productivity. Grazing and pasture management regulate water infiltration, retention, and hydrological balance, mitigating soil erosion and enhancing water-use efficiency. Livestock also promote biodiversity by maintaining habitat heterogeneity, facilitating …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Unification and DC Conductivity of PDMS/NiNPs Nanocomposite
Abstract: The DC conductivity of nickel nanoparticles–polydimethylsiloxane (NiNPs–PDMS) composite materials has attracted considerable attention due to their promising applications in flexible electronics, sensors, and energy storage devices. The electrical performance of these composites is largely governed by the formation of conductive networks within the insulating polymer matrix. Incorporating nickel nanoparticles into PDMS introduces conductive pathways that significantly enhance DC conductivity once a critical percolation threshold is reached.Several key factors influence the …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Reimagining Solid Waste Management in India: A case of Circular approach in C&D Waste Management
Abstract: Construction and demolition (C&D) waste, which accounts for an estimated 150–500 MT yearly and about 10–20% of the nation's total municipal solid waste (MSW) generation, is a significant management challenge for India. Accelerated urbanization, population increase, infrastructural expansion, and urban redevelopment initiatives are the main causes of this quickly expanding waste stream. Much of this waste is disposed of through uncontrolled dumping, encroachment on low-lying areas, and overcrowded landfills in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 1–10 Read article