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420 articles for “Theories”
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Clinical Study of Role of Rasayana as a Pre adjuvant and Post Treatment of Chemotherapy in the Management of Carcinoma
Abstract: Integrative oncology is a novel form of medical theory which views cancer not merely as an accumulation of genetically transformed immature cells, but sum total of feelings, images, actions evoked by cancer. Not only by those afflicted with the disease, but also by their loved ones. This has been very well understood by Ayurveda. The important tool to manage the adverse reaction is Rasayana. Rasayana through their nutrient value improves …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 1, 2022 · pp. 5–13 Read article
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An Open Label Randomized Comparative Clinical Study of Safoof-e-Mohazzil versus Atorvastatin in the Cases of Fart-e-Tadassum-Fid-Dam (Primary Hyperlipidaemia)
Abstract: Hyperlipidaemia (Fart-e-Tadassum-Fid-Dam) is a common metabolic disease seen in clinical practice. It is mentioned that increased lipid level is associated with the pathogenesis of atherosclerosis. Theory of hyperlipidaemia meets similarly on the basis of etiology, presentation, complications, patho-physiology and non-pharmacological management with Saman-e-mufrit (obesity). Therefore, it is an important need to provide safe and effective drug from Unani system of medicine for the long term management of hyperlipidaemia. In the …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 5, Issue 1, 2018 · pp. 6–12 Read article
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Concept of Body Fluids (Akhlāt)
Abstract: Unani Tibb is one of the ancient systems of medicine which is also called as the system of Greek medicine. A body fluid or "humor" is that fluid of the body in which our aliment is transformed. In our classical literature, body fluids were termed as Akhlāt (Humors). Humoral theory believes the presence of four humors in the body i.e., blood (dam), phlegm (balgham), yellow bile (safra) and black bile …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 6, Issue 3, 2019 · pp. 12–14 Read article
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Ringworm Infection in Unani Perspective: A Literary Review
Abstract: There are several skin conditions that affect human beings. Since the most common of skin conditions may have some symptoms that are similar, it becomes more important to understand the differences between them. Skin disorders may vary significantly in symptoms and severity. Qooba (Dermatophytosis) is one such type of type of skin disease. In Unani System of Medicine, it is described as roughness which appears over skin surface. As far …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 8, Issue 1, 2021 · pp. 1–5 Read article
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Sailan-ur-Rahem (Abnormal Vaginal Discharge) in Greco-Arabic Medicine: A Review
Abstract: Greco-Arab medicine also known as Unani System of Medicine (USM) is well known based on the Hippocratic humoral theory. According to USM, every person is supposed to have a unique humoral constitution which represents his healthy state and any change in this state causes illness of the said person. The severity of the disease depends directly upon the change in equilibrium from mizaj (Temperament). In Greco-Arab medicine, Sailan-ur-Rahem is a …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 4, Issue 2, 2017 · pp. 1–6 Read article
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The Doomsday Clock and Global Health: A Medical Sociological Analysis of Existential Threats to Human Civilization From 1947 to 85 Seconds to Midnight Situating the Biosocial Crises of the Twenty-First Century
Abstract: Since its inception in 1947, the Doomsday Clock maintained by the Bulletin of the Atomic Scientists has functioned as a socially constructed barometer of civilisational risk, translating complex scientific, geopolitical, and technological threats into a universally legible symbolic chronometry. As of January 2026, the Clock stands at 85 seconds to midnight, its most alarming position in nearly eight decades of operation. This article adopts a medical sociological framework, drawing on …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing
Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 15–26 Read article
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Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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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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Thermal Engineering: Principles, Evolution, and Comparative Analysis with Classical Approaches
Abstract: Thermal engineering is the study of heat transfer, thermodynamics and energy conversion systems. However, through the years it has progressed from classical theories, which relied on empirical correlations, to enhanced computed and nanotechnology based approaches. This paper highlights the principles of thermal engineering, its important systems and latest developments of thermal engineering and provides extensive comparisons between the classical (traditional) methods and the most recent developments or innovations such as …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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Siri Bhuvalaya – An Ancient Universal Archive of Knowledge in Jain Tradition
Abstract: Siri Bhuvalaya, attributed to the Jain monk Kumudendu around the 11th century C.E., represents a unique multidimensional literary work that outshines conventional textual forms. Encoded through complex numerical matrices known as chakras and combinatorial rules called bandhas, it preserves a vast interdisciplinary compilation encompassing philosophy, mathematics, astronomy, chemistry, medicine, and linguistics. The text embodies Jain doctrines of pluralism and conditional truth by enabling multiple valid readings across over 700 languages. …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 10–14 Read article
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The Emerging Roles of the School Librarian in the Tech Era: A Transformative Synergy with NEP 2020 and KVS Initiatives
Abstract: The implementation of the National Education Policy (NEP) 2020 in India mandates a radical paradigm shift in the school education ecosystem, moving from rote-based learning toward a 5+3+3+4 pedagogical structure centered on critical thinking and multidisciplinary exploration. This paper employs a Qualitative Policy-to-Practice Synthesis (QPPS) design to analyze the evolving role of the school librarian as a strategic catalyst within this framework, with a specific focus on the Kendriya Vidyalaya …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 15–21 Read article
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Simulation-Based Training in Nursing Education: An Academic Perspective
Abstract: Simulation-based education has become an important component of contemporary nursing education, providing students with opportunities to develop clinical competence, critical thinking, decision-making, and patient safety skills in a controlled learning environment. By recreating realistic clinical situations, simulation allows nursing students to apply theoretical knowledge, practice clinical procedures, and respond to patient care challenges without exposing actual patients to unnecessary risks. Different simulation approaches, including high- and low-fidelity manikins, standardized patients, …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 42–47 Read article
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Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
Abstract: Before genome-wide molecular markers became affordable, plant and animal breeding relied on pedigree-based prediction (P-BLUP), using the expected additive relationship matrix (A) derived from recorded ancestry. Genomic selection replaced or augmented this with a marker-derived genomic relationship matrix (G; GBLUP), and single-step methods combining A and G are now standard when only a subset of a breeding population is genotyped. It is less clear whether pedigree information retains any predictive …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Everyday Life Under British Rule in India
Abstract: This research examines the transformation of everyday life under British rule in India between 1858 and 1947 focusing on the subtle yet profound ways colonial governance reshaped daily routines, social practices, and cultural identities. While much historiography has concentrated on political movements, economic policies, and administrative reforms, this study shifts attention to the lived experiences of ordinary people. It analyzes how colonial power operated not only through legislation and military …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Artificial Intelligence in Education: Empowerment or Cognitive Dependency? A Critical Analysis
Abstract: Artificial Intelligence (AI) has become an important part of modern education, changing how students learn, practice, and complete academic tasks. AI-based tools such as intelligent tutoring systems and generative models improve personalization, speed, and accessibility of learning. However, growing concerns suggest that excessive dependence on AI may reduce deep cognitive engagement and critical thinking. This paper critically examines whether AI acts as a tool for academic empowerment or leads to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article