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663 articles for “Robustness”
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Phytotherapeutic Potential of Melaleuca: An Integrative Review of Phytochemistry and Antimicrobial, Antifungal, Antioxidant, and Antiviral Mechanisms
Abstract: Melaleuca alternifolia and other species of the Melaleuca genus stand out for the broad spectrum of pharmacological properties attributed to their bioactive compounds, such as monoterpenes, sesquiterpenes, flavonoids, and polyphenols. This study aimed to critically review and analyze scientific evidence produced between 2005 and 2025 regarding the antimicrobial, antifungal, antioxidant, and antiviral activities of Melaleuca, correlating its phytochemistry with molecular mechanisms of action. For this purpose, an integrative literature review …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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A Systematic Review of the Herbal Medicinal Plants With Anti-Obesity Potential
Abstract: Obesity is a chronic, multifactorial metabolic condition characterized by abnormal fat accumulation. It is mainly driven by the intricate influence of genetic, environmental, hormonal, metabolic and lifestyle determinants. The burden of obesity has risen considerably over the past few years, making it one of the major health concerns in both developed and developing countries alike. The rapid increase globally in obesity prevalence is linked with numerous health complications such as …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks
Abstract: This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Molecular Surveillance of Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV) Across Major Aquaculture Zones of Telangana, India
Abstract: Viral diseases represent a persistent threat to cyprinid aquaculture; however, region-specific surveillance data from tropical production systems remain limited. To address this gap, a comprehensive statewide active surveillance programme was undertaken across Telangana, India, from 2019 to 2022 to investigate the occurrence of two priority transboundary pathogens, Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV). A total of 414 fish specimens were systematically collected from five surveillance sectors …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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MAP: The Invisible Shield Protecting Our Product's Journey
Abstract: Modified Atmosphere Packaging (MAP) has established itself as one of the most reliable and widely adopted preservation technologies in the modern food industry, offering a practical means of extending shelf life while maintaining the sensory and nutritional integrity of food products throughout storage and distribution. The fundamental working principle revolves around deliberately altering the gaseous composition within sealed packages, primarily through the strategic use of carbon dioxide, nitrogen and oxygen …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 52–58 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Olfactory Intelligence in Bio-Hybrid UAVs: Integrating Living Lepidoptera Sensors for High-Precision Environmental Monitoring
Abstract: Autonomous aerial systems still face major challenges when attempting to locate airborne volatile organic compounds because many conventional gas sensors react slowly and cannot reliably follow turbulent chemical plumes. To address this limitation, a bio-hybrid sensing approach was explored using the antenna of the silkworm moth, Bombyx mori, as a natural chemical detector. The antenna was connected to an Electroantennogram (EAG) system that converts biological nerve signals into digital signals …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Strategies for the Development and Optimization of Orally Disintegrating Tablets (ODTs) to Improve Bioavailability and Patient Compliance
Abstract: Background: Pharmaceutical scientists have developed Orally Disintegrating Tablets (ODTs) to advance patient drug acceptance and biological system availability through simplified medi-cation delivery especially for children and senior citizens and people who cannot swallow pills regularly. The oral disintegrating tablets dissolve in the mouth within thirty seconds or less (USP 701) while needing no additional liquid thus making them suitable for both emergency treatments. Objective: The research examines ODT development strategies …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Idempotent Semiring Path Algebras and Fuzzy Dominance Automata for Multi-State Communication Reliability
Abstract: A semiring-based theory is proposed for multi-state communication reliability with fuzzy dominance constraints. Links are weighted in the max-product semiring, while nodes carry dominance coefficients and operating states that modulate admissible transitions in a weighted automaton. The paper derives semiring matrix products, Kleene closures, fixed point equations, congestion-regularized path scores, and reliability inequalities. A fuzzy dominance automaton is introduced so that route selection depends not only on link reliability but …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 07–14 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Development and Analysis of General-Purpose Drone
Abstract: In recent years, drones have become indispensable tools across various industries, thanks to their versatility and wide-ranging applications. The fabrication of drones is a complex process that integrates multiple engineering disciplines, including mechanical design, electrical systems, aerodynamics, and software development. The meticulous design of the drone's frame, taking into account factors such as weight, durability, and aerodynamic efficiency, marks the commencement of the fabrication process. The paper presented a comprehensive …
Published in Journal of Aerospace Engineering & Technology Read article
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Crop Metabolism: A Biochemical Perspective on the Synthesis of Key Biomolecules and Structural Adaptations
Abstract: Crop metabolism involves intricate biochemical pathways that govern the biosynthesis of essential biomolecules, ensuring growth, development, and adaptability in various environmental conditions. Key processes include the synthesis of nucleic acids, amino acids, proteins, carbohydrates, organic acids, lipids, and natural products, each playing vital roles in maintaining cellular homeostasis. Nucleic acids drive genetic information storage and transfer, while amino acids and proteins form the backbone of enzymatic and structural cellular functions. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 26–31 Read article
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Research Paper A Review of Symmetry in Mechanical Systems: Theoretical Systems Foundations and Engineering Applications
Abstract: In mechanical system analysis and design, symmetry is of mechanical systems. This article examines the idea of symmetry in mechanical systems, exploring its mathematical foundations (such as Lie algebras and group theory) and how these ideas help explain the behavior, stability, and control of the system. We explore the applications of symmetry in a range of mechanical systems, from basic mechanical connections to intricate multi-body dynamics, emphasizing the benefits of …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 15–19 Read article
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Diet-Driven Enhancement of Immune Resilience, Disease Resistance, and Performance: Mechanistic Insights, Nutritional Interventions, and Implications for Sustainable Dairy Development
Abstract: This review synthesizes current knowledge on how dietary strategies can strengthen immune resilience, improve disease resistance, and enhance productive performance in dairy systems while advancing sustainable development. Immune function in dairy cattle is profoundly influenced by nutrition, with energy, protein, essential amino acids, fatty acids, vitamins, minerals, and bioactive compounds playing critical roles in shaping both innate and adaptive immune responses. Suboptimal nutrition impairs immune competence, increases susceptibility to infectious …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 15–24 Read article
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Sequence analysis, DNA Methylation and Molecular therapy of Oral cancer caused by Human Papilloma Virus
Abstract: DNA methylations with oral cancer are been associated with high-risk Human Papillomavirus (HPV) and Epstein-Barr Virus (EBV) onco-proteins interactions may cooperate to increase disease severity. The work focused on human papillomavirus strain 16, a high-risk, sexually transmitted responsible for 95% of all cervical cancers and a large portion of oropharyngeal cancers. The prediction of genes from has shown seven genes from HPV16 strain. Based on gene identification studies, Human papilloma …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 · pp. 1–9 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article