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242 articles for “Influence time”
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Industry 4.0 and Smart Manufacturing: A Review
Abstract: This review looks at Industry 4.0 and smart manufacturing's idea, enabling technologies, implementation issues, and future prospects. Drawing on recent literature, the paper synthesizes key pillars such as the Industrial Internet of Things (IIoT), cyber-physical systems (CPS), artificial intelligence, digital twins, and additive manufacturing. It highlights integration requirements across supply chains, cyber security concerns, workforce implications, and standards activities that influence adoption. The literature survey focuses on empirical studies and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 14–17 Read article
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Optimizing Grazing Systems for Promoting Early Puberty in Dairy Heifers: An Integrated Nutritional Perspective
Abstract: The onset of puberty in dairy heifers is a critical milestone in ensuring optimal reproductive performance and overall herd productivity. Grazing systems, when strategically managed, may play a significant role in accelerating puberty through their influence on nutritional intake and heifer management practices. This review explores the impact of different grazing systems on the nutritional status of dairy heifers, emphasizing the balance between nutrient supply and demand during critical growth …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
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Botanical Blockade: Phytochemical Targeting Of Nf-Κb in Cancer Therapy
Abstract: The control of inflammation, corpuscle survival, proliferation, and allowed response are all influenced by the acute archetypal agent NF-κB. Its abnormal activity is typically seen in a range of malignancies, where it aids in bump advancement, metastasis, and treatment waste. The function of NF-κB in scar analysis is discussed in this product, along with significant phytochemicals that seem to be interested in targeting this pathway, based on recent investigation. It …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Synthesis of YSZ nanopowders by using PVA-metallic nitrate combustion method
Abstract: Yttria-stabilized zirconia (8YSZ) powder is widely used as a thermal barrier coatings material for various aeronautical gas turbine engine components and structures operating in high temperature environment as well as for the nozzle of solid rocket engine due to its relatively high thermal expansion coefficient, thermal reflectivity, low thermal and good corrosion resistance. The synthesis of single or composite metal oxides by combustion of metal-polyvinyl alcohol gel precursors (Me-PVA) has …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article
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Optimizing Routing and Placement of VLSI Circuits with Differential Algorithms and Neural Networks
Abstract: The performance of modern VLSI systems is heavily influenced by power constraints, necessitating precise power estimation and effective optimization techniques. Traditional methods, such as gate-level simulations, are often slow and computationally intensive. This paper introduces DRPENN (Differential Algorithm for Routing and Placement Optimization using Neural Networks), an innovative solution that combines a Switching Activity Estimator (SAE) with a neural network-assisted differential algorithm. By leveraging toggle rates from simulations to train …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 14–20 Read article
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A Review of Runoff Strategies in Developed and Developing Countries: Using Polymer Materials for Stormwater Management
Abstract: Urban hydrology is essential to the system used to manage urban runoff. Stormwater drainage in metropolitan areas has become a problem as a result of rapid urbanization, the depletion of vegetation, deteriorating drainage infrastructure, and climate change. The natural hydrological cycle is impacted by urbanization by raising peak flows and reducing lag times. Urban areas experience more floods as a result, while the environment suffers as a result of accelerated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 974–984 Read article
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A Study of Passenger Satisfaction on Public Transport in Gudalur Town
Abstract: This study aims to explore the factors influencing passenger satisfaction with the public transportation system in Gudalur Town, located in the Nilgiris district of Tamil Nadu. Public transportation is a critical service for the town's residents, providing mobility for daily commutes, education, and access to essential services. The study employs a combination of surveys and interviews to assess commuter satisfaction across several key dimensions, including service reliability, affordability, comfort, safety, …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–21 Read article
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Performance Testing of Arduino-Based Hybrid Solar Dryer for Drying Apple Slices
Abstract: A novel and high-efficiency hybrid solar dryer was designed and developed in this study to dry apple slices. The thermal analysis of the dryer is conducted by calculating collector efficiency, drying rate, and drying efficiency. Integrating an Arduino-based temperature and humidity monitoring system in a hybrid solar dryer enhances the ability to optimize performance and efficiency. Both the collector and drying chamber are made of aluminum sheet as it has …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1872–1886 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Integrating Human-Centric Principles into Machine Design: Ergonomic and Safety Enhancements in Mechanical Systems
Abstract: The integration of human-centric design (HCD) principles into mechanical systems has become increasingly critical in contemporary machine design. As machines become more complex and operate within high-interaction environments, the need for design strategies that prioritize human safety, usability, and comfort has intensified. This review explores how ergonomic insights, safety standards, and user experience (UX) considerations influence the physical configuration, control mechanisms, and operational safety of mechanical systems across industrial, healthcare, …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 33–37 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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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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Mechanisms of Crystal Growth: From Spiral Steps to Surface Adhesion
Abstract: Crystal growth is a complex interplay between thermodynamic stability and kinetic processes, influenced heavily by the conditions under which crystallization occurs—particularly the degree of supersaturation. This abstract outline three principal regimes of solution-grown crystal growth: defect-driven, two-dimensional, and adhesive growth. At low supersaturation, growth is facilitated at surface defects, such as screw dislocations, where energy barriers to attachment are minimized. This results in the formation of spiraling steps that propagate …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 46–31 Read article
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Hormonal Shifts and Vision Changes: Addressing the Needs of Women During and After Pregnancy
Abstract: Pregnancy and the postpartum period are marked by significant hormonal fluctuations that can profoundly affect a woman’s vision health. This review explores the relationship between hormonal shifts during pregnancy and the onset of common vision changes, including but not limited to dry eyes, blurred vision, and retinal changes. These changes are often temporary but can indicate underlying complications such as gestational diabetes, preeclampsia, and other pregnancy-related conditions that may threaten …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
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A Study on Artificial Intelligence in UI/UX Design
Abstract: User interface/user experience (UI/UX) design plays a crucial role in shaping how users interact with and perceive digital platforms, as it directly influences usability, satisfaction, and overall engagement. In today’s rapidly advancing technological era, artificial intelligence (AI) has emerged as a transformative force across multiple industries, and UI/UX design is no exception. The integration of AI into UI/UX has fundamentally changed the way digital interfaces are conceptualized, designed, and delivered …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 46–51 Read article
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Effect of Particle Size of Sand on the Interface Shear Behavior of Sand and Non-woven Geotextile
Abstract: Soil-geosynthetic interface is the weakest zone for shear failure. It is influenced by size, shape, density and water content of sand. It is also influenced by the properties of geosynthetic such as texture and structure. This paper explores the influence of the size of sand on the behavior of sand-geotextile interface. Three types of sands namely coarse, medium and fine sand and non-woven geotextile were used in this study. Several …
Published in Journal of Geotechnical Engineering Read article
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Assessing the Integration of Information Technology Across Key Areas and Functions in Quantity Surveying Professional Practice
Abstract: Information Technology (IT) has had an immeasurable impact on business systems and processes, in all spheres of the economy including construction. The study assesses the integration of technology within the construction sector by Quantity Surveying professionals in Nigeria. This is against the backdrop that the integration of technology into the practice of Quantity Surveying has had a profound effect on the profession in Nigeria and globally. Technological revolution has fundamentally …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 1–10 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article