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320 articles for “research trends”
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Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 Read article
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Understanding the Dynamics of Biogenic and Anthropogenic Aerosols in the Atmosphere
Abstract: This study explores the complex interactions between marine aerosols, biogenic organic matter, and anthropogenic pollutants, highlighting their implications for climate and air quality. It is established that submicron-sized marine aerosols, primarily of biogenic origin, play a crucial role in cloud condensation nuclei (CCN) concentration, particularly during periods of high biological oceanic activity (HBA). The chemical composition of marine aerosols is significantly influenced by the ocean's annual biological cycle, with seasonal …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 15–22 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Innovative Vaccine Technologies: Current Landscape and Future Prospects in Preventive Medicine
Abstract: This review article presents a comprehensive analysis of recent advancements and emerging trends in vaccine development, offering insights into the dynamic landscape of preventive medicine. Delving into a spectrum of infectious diseases, including influenza, HIV/AIDS, malaria, tuberculosis, respiratory syncytial virus (RSV), Group B Streptococcus (GBS), norovirus, and chikungunya, the review highlights innovative approaches and breakthroughs in vaccine technology. It explores efforts to develop universal influenza vaccines, long-awaited HIV vaccines, and …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 07–15 Read article
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Performance Evaluation of PET Strip Fiber Reinforced Concrete
Abstract: Polyethylene Terephthalate, commonly known as PET, is a petroleum-based plastic polymer that is widely used in the packaging of various commodities due to its durability, and poses a major threat to the environment. To tackle this scenario, the construction industry is researching all possibilities to incorporate this waste into concrete and enhance the properties of concrete. The present study evaluates the performance characteristics of M 30 grade concrete when reinforced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1076–1088 Read article
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Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
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An Extensive Review of IoT and Wireless Power Transfer Based Movable Spotlight
Abstract: This paper provides an in-depth overview of IoT and Wireless Power Transfer-Based Movable Spotlights. The rapid expansion of the Internet of Things (IoT) has created new opportunities for smart gadgets, allowing them to seamlessly integrate into our daily lives. In addition to this trend, wireless power transfer (WPT) technologies have emerged as a transformative alternative for powering devices without traditional connected connections. This paper explores the integration of Internet of …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 16–20 Read article
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Emerging Trends in Interdisciplinary Perspectives and Future Frontiers in Modern Symmetry
Abstract: Symmetry, long recognized as a cornerstone of the natural sciences, has increasingly found relevance across a variety of disciplines, from physics and mathematics to economics, architecture, and systems theory. This interdisciplinary review explores the expanding role of symmetry as a conceptual and analytical tool, highlighting its applications in diverse fields. In classical and quantum physics, symmetry principles form the foundation for conservation laws, particle interactions, and field equations. In economics …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 26–30 Read article
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Evaluation of Agro-based Adsorbents for Oil Spill Remediation in Freshwater and Saltwater Environments: Kinetic and Adsorption Model Analysis
Abstract: Environmental pollution caused by oil spills poses significant risks to both human health and ecosystems, particularly in regions like Nigeria’s Niger Delta, where oil spills are frequent. Conventional methods for oil spill cleanup have limitations, which has prompted research into alternative, more effective techniques. This study investigates the use of agro-based materials, specifically plantain and banana species, combined with clay soil as adsorbents for oil removal in freshwater and saltwater …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–32 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Influence of Nozzle Temperature, Nozzle Diameter, and Layer Height on Tensile and Hardness Characteristics of 3D Printed CF-PLA
Abstract: This research investigates the mechanical characterization of CF-PLA (Carbon Fiber-reinforced Polylactic Acid) composite material produced using Fused Deposition Modeling (FDM) technology. The study investigates the impact of different machine parameters, like nozzle temperature, nozzle diameter, and layer height, on the tensile property and hardness of CF-PLA specimens. A total of 27 samples were produced, each with different combinations of nozzle temperature (190°C, 200°C, and 210°C), nozzle diameter (0.4mm, 0.5mm, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 674–681 Read article
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Monitoring of Microbial Growth on Crude Oil Remediation using Processed Palm Fruit Fermented Waste Water and NKP Fertilizer
Abstract: The bacteria count was done to ascertain the microbial growth rate in each reactor and the research work demonstrates the integrity of fermented palm oil processed waste water obtained the available nutrients for the restoration of microbial activity in terms of growth as well as remediation of polluted clay soil environment for optimum utilization in terms of agricultural purposes. This study is based on the overview on the ability of …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 10–22 Read article
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An Experimental Study to Assess the Effectiveness of Self Efficacy on Academic Performance Among B.Sc. Nursing Students at Selected Colleges, Mangalore
Abstract: Self-efficacy refers to an individual's belief in their capacity to execute behaviors necessary to produce specific performance attainments. This study was conducted to evaluate the impact of self-efficacy on the academic performance of first-year B.Sc.Nursing students in selected colleges in Mangalore. The primary objective was to assess the relationship between self-efficacy levels and academic outcomes among these students. A quantitative research design was adopted for this study, with a sample …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 65–83 Read article
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Breakthroughs in Solar and Wind Energy Technologies
Abstract: The increasing urgency to combat climate change and transition toward sustainable energy systems has positioned solar and wind energy as cornerstone technologies in the global energy landscape. This paper, titled “Breakthroughs in Solar and Wind Energy Technologies,” explores recent innovations and trends that have significantly enhanced the efficiency, reliability, and affordability of these renewable energy sources. Key advancements discussed include breakthroughs in photovoltaic technologies, such as perovskite solar cells and …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Evaluation of Lemon Grass (Cymbopogon Citratus) Performance for Petroleum Hydrocarbon Degradation in Soil Environment
Abstract: The evaluation of lemon grass (cymbopogon citratus) performance for petroleum hydrocarbon degradation in soil environment was monitored with respect to contact time or period of exposure. Models were developed in this research to demonstrate the potential of the first-order kinetic, Michaelis Menten and the LineWeaver Burk Plot, and the evaluation of the effect of the biostimulant dosage was monitored in accordance the total petroleum hydrocarbon degradation. The performance of lemon …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 33–49 Read article
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Influence of Supplementary Cementitious Materials on Chemical Shrinkage in Cement
Abstract: Chemical shrinkage is the volume reduction observed in cement during early hydration due to chemical reactions, which critically influences the internal stresses, cracking tendencies, and durability of cementitious system. Present study is focused on effect of supplementary cementitious material (SCM) on chemical shrinkage. Dilatometry method is used to assess the impacts of SCMs on chemical shrinkage, in this this study. The research incorporates experiments with laboratory-synthesized cement and three SCMs—fly …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 98–107 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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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article