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1144 articles for “complexity”
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The Characteristics of Square-Well Fluid Transport Coefficients
Abstract: The transport coefficients of the hard-sphere system were first computed by Alder, providing foundational insight into the microscopic origins of viscosity, diffusion, and thermal conductivity in simple fluids. Building on this framework, Evans derived a generalized Langevin equation to describe the time evolution of dynamical variables, incorporating memory effects and non-Markovian behavior in molecular motion. These theoretical developments established a bridge between microscopic interactions and macroscopic transport properties. When an …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 33–44 Read article
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Modern Physics Approaches to Light-Matter Interaction
Abstract: Light-matter interaction is crucial to numerous fundamental and applied phenomena in contemporary physics, encompassing quantum optics and materials science. This study examines modern methods for comprehending and controlling the interaction between electromagnetic radiation and matter, focusing on both theoretical frameworks and experimental progress. The interaction between light and matter is a fundamental aspect of contemporary physics, forming the basis for phenomena that include the essential principles of vision and photosynthesis, …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 10–19 Read article
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AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance
Abstract: Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications. Traditional DevSecOps workflows still depend heavily on isolated scanners, manual reviews, and static governance processes that are not well-suited for the elasticity and constant change characteristic of multi-cloud environments. To address these limitations, this paper introduces …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 01–15 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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The New Digital Accord: Ethics, Society and the Future of Online Interaction
Abstract: In a time when digital technology feels like our second home, every click leaves a mark, and every share holds significance. The ‘New Digital Accord’ aims to explore the complex relationship between technological progress and ethical responsibilities, examining how our constant connectivity shapes social behaviours, digital safety, and moral values. This paper addresses key challenges such as cybersecurity threats, misinformation, digital addiction, online harassment, and the ethical questions surrounding artificial …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 102–113 Read article
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Recent Trends and Techniques in the Advanced Microcontroller Bus Architecture (AMBA) Protocol: A Comprehensive Review
Abstract: ARM has created the Advanced Microcontroller Bus Architecture (AMBA) that is used as the main method for communication on chips in today’s embedded systems. Since AMBA is built to scale and combine with other components, it allows data transfer to high-performance and low-power components easily. The paper discusses how AMBA protocols have evolved and presents new trends of producing higher data rates, conserving energy, and lowering latency. This study offers …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 9–15 Read article
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RTL-to-GDSII Flow Optimization for Low-Power 32-bit RISC-V Processor
Abstract: This paper presents the implementation and optimization of a 32-bit RISC-V processor, transitioning from Register Transfer Level (RTL) design to final GDSII using Synopsys Fusion Compiler over 32nm technology node. The processor architecture is based on the RV32I base instruction set and incorporates a 5-stage pipeline to achieve a balanced trade-off between performance and design complexity. The design methodology involved RTL synthesis, gate-level netlist generation, and successive physical design stages …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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Synthesis, Production, and Mass Balance Analysis of Ten High-Volume Herbicides
Abstract: Herbicides play a crucial role in modern agriculture, enabling effective weed management and safeguarding crop yields amid rising global food demands and growing weed resistance, which can reduce productivity by up to 40%. This study provides a detailed examination of synthesis pathways, production methodologies, and mass balance dynamics for ten high-volume herbicides: Aclonifen, Ametryn, Amidosulfuron, Aminocyclopyrachlor, Aminopyralid, Atrazine, Azimsulfuron, Beflubutamid, Bensulfuron Methyl, and Bentazone, used to control broadleaf weeds, grasses, …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 30–44 Read article
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Drug-Induced Liver Injury: Hepatotoxicity and Treatment - A Literature Review
Abstract: Drug-induced liver injury (DILI) is a major clinical and regulatory challenge, posing risks to patient safety and drug development worldwide. As the primary organ responsible for xenobiotic metabolism, the liver is particularly susceptible to toxic injury from prescription drugs, over-the-counter medications, herbal products, and dietary supplements. Drug-induced liver injury (DILI) accounts for a substantial proportion of acute liver failure cases and remains a leading cause of post-marketing drug withdrawal. Its …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 1–17 Read article
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Simultaneous Improvement of Mechanical Properties and Thermal Stability of Polyvinyl Chloride Nanocomposite by Magnesium Aluminum-Layered Double Hydroxide
Abstract: The application of nanoclays in polyvinyl chloride (PVC) is limited as the organic modifier of conventional nanoclays can degrade PVC. Using usual nanoclays could reduce thermal stability due to the catalytic effects on PVC degradation, so the main chalenge is to find suitable nanoclay for PVC. The effects of two nanoclays, MgAl-layered double hydroxide and alkylammonium-modified montmorillonite, were studied on the mechanical properties of PVC nanocomposites. Dioctyl phthalate (DOP)-plasticized PVC …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 825–837 Read article
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Safe Routes to School: Best Practice and their Applicability to Urban Context
Abstract: Safe routes to school (SRTS) programs aim to encourage active transportation for children through enhanced safety, accessibility, and infrastructure within the areas surrounding schools. SRTS has become increasingly popular worldwide as a method of promoting public health, decreasing traffic, and promoting community cohesion. Yet bringing SRTS to urban environments comes with special challenges. Urban locations often have high traffic volumes, inadequate pedestrian facilities, socioeconomic inequities, and variable policy backing that …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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The Impact of Extraction Conditions on the Trend of the Type of Red Onion and the Characteristics of Oil Harvest for the Use of Constraints
Abstract: The therapeutic potential of plant-derived medicinal products, including essential oils, has not yet been fully exploited. Many medicinal plants have been studied to provide the biologically active compounds on which most modern drugs are based. However, much more remains to be learned about their precise pharmacology. This is particularly important for essential oils which have such a concentrated but complex composition. This is the reason for the interest they generate …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 70–76 Read article
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Photoreceptor Dynamics: Light Sensing and Cellular Responses for Photochemistry
Abstract: Photoreceptor dynamics represent a fundamental aspect of photochemistry, encompassing the mechanisms by which biological systems detect and respond to light stimuli. Photoreceptors are specialized proteins that undergo structural and functional changes upon photon absorption, initiating a cascade of molecular events that translate light signals into cellular responses. These proteins are ubiquitous across life forms, including microbial rhodopsins, plant phytochromes, and animal opsins, each finely tuned to specific wavelengths and light …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 28–32 Read article
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Light-Matter Interactions in Molecular Photochemistry
Abstract: Molecular photochemistry explores the ways of molecules interaction with light, absorb photons, and excited‐state processes, and ultimately conversion of photon energy into chemical change. Core concepts of this innovative and relevant field are matter interaction like electronic, vibrational, and rotational transitions; non‐adiabatic couplings; energy & electron transfer; and light–matter coupling in weak and strong regimes. This article briefly surveys the multiplicity of these interactions, from the fundamentals of photon absorption …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 33–42 Read article
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Hardware Solution for LVRT Enhancement Techniques in DFIG - A Review
Abstract: With the advancement of wind power technology, penetration of wind power to power systems has increased significantly. Grid codes require that the wind generators should remain connected for specified time even under low voltage conditions. Stricter grid code requirements are now necessary to assure system stability and reliability due to the growing integration of wind power into contemporary power networks, which is being pushed by the quick development of wind …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 59–73 Read article
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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
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article
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Swarm Intelligence: Nature-Inspired Problem Solving
Abstract: Swarm Intelligence (SI) is a computational paradigm inspired by the collective behavior of natural systems, such as flocks of birds, schools of fish, and colonies of ants. It involves decentralized, self- organized systems where simple agents follow simple rules, yet their interactions lead to complex global behaviors. SI has gained significant attention in recent years due to its potential applications in solving optimization problems, routing, scheduling, and artificial intelligence tasks. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 Read article