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973 articles for “funds”
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The Principles and Applications of Structural Symmetry in Natural and Engineered Systems: A Comprehensive Review
Abstract: Structural symmetry is a fundamental constraint across scientific domains, dictating the stability, functionality, and efficiency of systems from the subatomic to the macroscopic. In physics and chemistry, symmetry is mathematically defined through Group Theory, specifically point groups (e.g., Cnv, Oh). These groups govern molecular orbital interactions; high-symmetry configurations, such as the icosahedral C60 fullerene, achieve optimal energy distribution and structural resilience. In Structural Biology, symmetry is an evolutionary strategy for …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 30–34 Read article
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Systemic Lupus Erythematosus Revisited: A Milestones in Classification, Mechanistic Insights on Pathogenesis, Diagnosis, and Evolving Treatment Paradigms
Abstract: Systemic lupus erythematosus (SLE) is a prototypic, multi-systemic chronic inflammatory autoimmune disorder characterized by extreme clinical heterogeneity and the potential to involve virtually any organ or tissue. The condition is driven by a fundamental breakdown in immune tolerance, resulting in the overproduction of pathogenic autoantibodies and the formation of immune complexes that precipitate widespread inflammation and organ damage. This review aims to provide an exhaustive synthesis of recent developments in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Heteroatom modified carbon dots (N, P, K): synthesis, surface functionalization, and prospects for soil‑fertility enhancement
Abstract: Heteroatom‑functionalized carbon dots (H‑CDs) have emerged as a class of zero‑dimensional carbon nanomaterials offering tunable optical, electronic, and catalytic properties through controlled nitrogen, phosphorus, and potassium doping. This review highlights the chemistry and chemical‑technology dimensions of N‑, P‑, and K‑doped carbon dots (N‑CDs, P‑CDs, K‑CDs), focusing on their synthesis strategies, surface functionalization, and structure–property relationships. Conventional routes such as microwave‑assisted pyrolysis, hydrothermal carbonization, and one‑pot solvothermal methods are discussed, with …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 30–35 Read article
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From Photoreceptors to Photoelectrodes: Integrating Biological Light-Harvesting Mechanisms with Nanostructured Photoelectrochemical Systems
Abstract: The efficient conversion of solar energy into electrical and chemical energy is a major scientific challenge of the twenty-first century. Natural photoreceptors provide valuable models for addressing this challenge because they have evolved highly efficient mechanisms for capturing and converting light energy. Biological systems such as rhodopsins, bacteriorhodopsins, proteorhodopsins, cryptochromes, phototropins, and phytochromes employ chromophore-driven photoinduced electron and proton transfer processes to initiate a wide range of physiological responses, including …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 25–33 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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Human–Nature Relationships and Sustainable Development: Insights from Environmental Studies
Abstract: The accelerating environmental crisis highlights the need to re-examine the fundamental relationship between humans and nature. Conventional development models often promote a utilitarian view of nature, leading to ecological degradation, biodiversity loss, climate change, and unsustainable resource use. The research problem addressed in this study is the inadequate integration of human–nature relationship perspectives within sustainable development frameworks, despite growing recognition that environmental sustainability depends not only on technological innovations and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 38–43 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Rethinking Functional Dairy Foods: A Deeper Dive into Nutrition, Resilience, Cognitive Skill, and Healthy Ageing Across the Lifespan
Abstract: Dairy products have long been recognized as fundamental components of a balanced diet, providing essential nutrients that support overall health, well-being, and longevity. This study explores the role of dairy consumption in promoting sustainable nutrition, enhancing life expectancy, and maintaining a healthy lifestyle. Dairy foods – such as milk, yogurt, and cheese – are rich sources of high-quality protein, calcium, vitamins, and bioactive compounds that contribute to bone health, cardiovascular …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 50–68 Read article
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Structural Design of Offshore Structures: A Review of Indian and International Standards
Abstract: Offshore structures—including fixed steel jackets, topside modules, offshore wind turbine support structures, and floating systems—are designed to withstand combined gravity, environmental, seismic, and operational loads under substantial uncertainty and limited access for inspection and repair. Structural design practice has historically relied on internationally recognized standards, particularly the American Petroleum Institute’s API RP 2A, the International Organization for Standardization’s ISO 19900 series, including ISO 19902 for fixed steel structures, and Det …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 13, 2026 · pp. 36–51 Read article
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Pain Management in Rheumatoid Arthritis: Clinical Role and Therapeutic Implications of NSAIDs
Abstract: Rheumatoid arthritis (RA) is a progressive, chronic autoimmune condition that results in swelling in multiple joints. It is estimated to occur in 0.5–1% of the global population and is more common in women. India has an estimated prevalence of 0.75%. RA causes the destruction of joints and a decrease in disabilities and quality of life. It is accompanied by further manifestations and multiple co-occurring conditions that lead to a greater …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 21–27 Read article
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Recent Advances in Crystalline Materials
Abstract: Crystalline materials are solids in which atoms, ions, or molecules are arranged in a highly ordered, repeating three-dimensional lattice. This well-defined structure gives rise to unique physical, chemical, electrical, optical, thermal, and mechanical properties, making crystalline materials essential for numerous scientific and industrial applications. Advances in materials science, crystal engineering, and nanotechnology have enabled precise control over crystal size, morphology, composition, and defect structures through innovative synthesis techniques. These developments …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 14–21 Read article
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Crystalline Materials: From Crystal Growth and Defect Engineering to Advanced Functional Applications
Abstract: Crystalline materials form the foundation of numerous modern technologies owing to their highly ordered atomic structures and exceptional physical, chemical, electrical, optical, and mechanical properties. Their periodic crystal lattices provide superior structural stability and enable precise control of electronic, thermal, and optical behavior, making them indispensable in microelectronics, photonics, energy storage, catalysis, aerospace, environmental remediation, and biomedical engineering. Rapid advances in crystal growth techniques, nanotechnology, and computational materials science have …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 23–31 Read article
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Recent Advances in Nanotechnology-Assisted Liquid Crystal Biosensors for Sensitive and Naked-Eye Detection of Antibiotics
Abstract: The widespread use of antibiotics in healthcare, veterinary medicine, agriculture, and aquaculture has resulted in increasing levels of antibiotic residues in food products and environmental samples, posing significant risks to human health and contributing to antimicrobial resistance. Conventional analytical methods, including high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC–MS), enzyme-linked immunosorbent assay (ELISA), and electrochemical techniques, offer excellent sensitivity but require sophisticated instrumentation, skilled personnel, and extensive sample preparation. In …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Workflow Streamlining Through Shell Programming: A Review of Automation Techniques, Best Practices, and Applications
Abstract: The rapid advancement of modern computing systems and the increasing complexity of information technology infrastructures have created a growing need for efficient automation and streamlined system administration. Among the various automation technologies available, shell programming remains one of the most practical, flexible, and widely adopted approaches for managing repetitive tasks and optimizing operational workflows in Unix-like operating systems. Shell scripts enable administrators and developers to automate command execution, coordinate system …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 9–20 Read article
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AI-Powered Prompt-to-Production Platform for Automated React Application Generation and Cloud Deployment
Abstract: The proliferation of large language models (LLMs) has fundamentally altered the landscape of automated software engineering. However, a significant “deployment chasm” persists between the generation of code artifacts and their realization as production-grade cloud applications. Traditional workflows are marred by the “DevOps Tax”: the high operational overhead of environment configuration, dependency resolution, and infrastructure provisioning. This paper presents a novel, technically adept architecture that bridges this gap through a unified …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 1–16 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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Tracking Control of Robotic Manipulator using PID, Computed Torque Control and Sliding Mode Control Techniques
Abstract: In the last decades, the robotic manipulators have been extensively used in the industrial applications such as paint spraying, welding, accurate positioning system etc. In these applications, joint angles of robotic manipulators are directed to follow some given trajectories as close as possible. Therefore, Inspite of long years of research, trajectory tracking problem of robotic manipulators is the most significant and fundamental task for researchers to work upon. Robotic manipulator …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 24–29 Read article