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336 articles for “AdS theory”
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Anthrax Toxin Time-Resolved Absorption and Resonance FT-IR and Raman Biospectroscopy and Density Functional Theory (DFT) Investigation of Vibronic-Mode Coupling Structure in Vibrational Spectra Analysis
Abstract: Anthrax toxin is a three-protein exotoxin that is secreted by the bacterium's virulent strains, the anthrax causative agent Bacillus anthracis. Harry Smith first found the toxin in 1954. Anthrax toxin consists of a protein called a protective antigen (PA) binding cell protein and two enzyme parts called an edema factor (EF) and a deadly factor (LF). These three protein components act together to impart their physiological effects. Assembled complexes containing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 2, 2019 · pp. 23–51 Read article
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(𝛅,Ü ) Convex Structure on Partial B-Metric Space Concerning Quasi Contraction and Fixed-Point Results
Abstract: This work introduces the concept of (δ,Ü )– Convex Partial b-Metric Spaces using convex structure. Motivated by this approach, we demonstrated fixed point results and their uniqueness, as well as quasi contraction, and provided some supporting instances for the established results. Our findings expand prior fixed-point results to a novel concept (δ,Ü )– Convex Partial b-Metric Spaces. To support our theoretical findings, we provide several instances that exemplify the established …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 24–34 Read article
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Exploration of Partial Order Structures in Menger Spaces Properties Characterizations and Applications
Abstract: Partial order structures play a crucial role in understanding the intricate relationships within mathematical spaces. In this paper, we delve into the realm of Menger spaces and investigate their properties through the lens of partial orders. Menger spaces, a generalization of metric spaces, possess unique characteristics that can be further elucidated by considering partial order structures. Through rigorous analysis, we explore various properties of partial order Menger spaces, including topological …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 17–22 Read article
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Al-Razi’s Anatomical Insights: A Detailed Review of Kitab Al-Mansuri
Abstract: Al-Razi (865–925 CE), a leading physician of the Greco-Arab Golden Age, made foundational contributions to human anatomy through clinical observation and empirical analysis. This review explores Al-Razi's anatomical insights, particularly as recorded in his influential medical compendium Kitab al-Mansuri (The Book of Medicine Dedicated to al-Mansur). In this work, Al-Razi challenges the prevailing Galenic doctrines by prioritizing evidence-based understanding over uncritical acceptance of ancient texts. His method reflects a scientific …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article
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Albizialebbeck (L.) Benth: A Wonder Drug Plant
Abstract: Folk medicine of the nature is the medicine of the local people. They are the resultant of the human close observation of the nature as well as their natural organisms. In this case, they watch the plants and their products, and they utilize them for the cure of the diseases. Magic and the witchcraft play a great role in it. In these days, the diseases are supposed to be the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 13–16 Read article
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Fundamental Principles of Fluid Behavior and Emerging Trends in Modern Fluid Mechanics Research
Abstract: Fluid behavior forms the foundation of numerous engineering technology and scientific applications, including aerospace flows, energy systems, and environmental processes. This paper presents a comprehensive overview of the fundamental principles governing fluid behavior, with a strong emphasis on their relevance to recent trends in fluid mechanic’s research. Core concepts such as fluid statics, fluid dynamics, and conservation laws are discussed to establish a solid theoretical framework. The study further examines …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 14–21 Read article
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Composition of Ideal Fluid Flows Around Cylinder Using Bilinear Transformation
Abstract: Advent of conformal mapping eases to model a flow in sought-after domain without trade- off between laws of fluid mechanics and the theory of complex valued-functions. The far-reaching properties manifested by conformal mapping discern and facilitate solution of large class of two-dimensional flow problems. Bilinear transformation is amidst the conformal mappings. The properties, mapping a circular boundary onto horizontal line and composition of bilinear transformations is again a bilinear transformation …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 31–38 Read article
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Modeling of ZnO Based Nano Sensor Device for Evaluating Electronic Interaction with NO2 Pollutant: Combining Multiphysics Simulation and DFT Study
Abstract: This study focuses on the designing and modeling of a sensor device employing zinc oxide (ZnO) nanowires (NWs), and the evaluation of the chemical response of the same in the presence of nitrogen dioxide (NO2), which is an acute harmful pollutant for human health and environment. Experimentally synthesized ZnO nanostructures were used as the basis for modeling of the ZnO NWs based sensor device along with a single ZnO NW, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 211–219 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Review of Advanced Drug Delivery System: Nanotechnology
Abstract: Nanotechnology is the science and technology conducted at nanoscale, i.e., 1–100 nm. It is the manipulation of matter with at least one dimension ranging from 1–100 nm.In this study, we discussed the importance of nanoparticles/nanotechnology for drug delivery, their characteristics, applications and future of nanotechnology. Nanoparticles are very small fascinating little objects. It deals with physics quantum mechanics (theory in physics which describes nature at smallest scale of energy levels). …
Published in Trends in Drug Delivery · Vol. 5, Issue 2, 2018 · pp. 23–26 Read article
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Academia to Industry: The Impact of AI on Information Retrieval Technologies
Abstract: Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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A Review on Fundamental Premises and Algorithmic Approaches in Compressive Sensing
Abstract: This paper addresses the classical approach of acquiring signals by following the well celebrated Shannon sampling theorem that underlies the majority devices of current technology, viz. analog-to-digital conversion, medical imaging, or audio and video electronics. In medical imaging, there are problems related to acquisition time and compression. Compressive sensing (CS) paradigm addresses the shortcomings of traditional data acquisition by sampling signals much more efficiently. CS is a novel kind of …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 18–24 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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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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From Theory to Practice: The Mathematical Foundations of Secure Blockchain Transactions
Abstract: The rise of blockchain technology has transformed the method of conducting secure and decentralized transactions across multiple industries. At its core, blockchain relies on a robust mathematical foundation to ensure data integrity, transparency, and immutability. This paper delves into the theoretical underpinnings that make secure blockchain transactions possible, including cryptographic algorithms, distributed consensus protocols, and mathematical proofs of security. We begin by exploring the role of cryptography, particularly public-key encryption, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 13–20 Read article
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History and Applications of Kalman Filter: A Review
Abstract: The Kalman filter is a powerful algorithm that is used to estimate the dynamic system states with noisy measurements and uncertain behaviors. It is an optimal estimator that minimizes the average squared error between the estimated states and the true states, given the noisy data and a model of the system. The recursive algorithm is highly effective in tracking and predicting the state of complex systems over time. Kalman filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 14–23 Read article
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An Overview on the Management cum Treatment of Nephropathy in Type-1 Diabetes Mellitus
Abstract: The motive of this review is to keep updated with the medical nonfictions, the projected early natural arrangement of diabetic nephropathy, the theories behind the root of its pathogenesis pathophysiology, diagnosis and its supervision. Type 1 diabetes is an autoimmune disease characterized by advanced destruction of pancreatic beta cells by genetic and environmental factors which primes to an absolute necessity of insulin for survival and conservation of health; while Diabetic …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 3, 2020 · pp. 19–38 Read article
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Measures of Location for Imprecise Data
Abstract: AbstractStatistical analysis is usually done on data sets that contain precise information. However, data obtained may not be precise always. This may be due to vagueness in the process of measurement itself or due to the values being expressed in linguistic terms. Data that are not precise are referred to as imprecise data or fuzzy data. Developing statistical measures for imprecise data has been pursued by researchers during the past …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 3, 2013 · pp. 35–40 Read article
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Estimation of Dulling Rate and Bit Tooth Wear Using Drilling Parameters and Rock Abrasiveness
Abstract: Optimisation of the drilling operations is becoming increasingly important as it can significantly reduce the oil well development cost. One of the major objectives in oil well drilling is to increase the penetration rate by selecting the optimum drilling bit based on offset wells data, and adjust the drilling factors to keep the bit in good condition during the operation. At the same time it is important to predict the …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–20 Read article
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On the Power of Oracles in the Context of Hierarchical Intelligence
Abstract: Artificial intelligence (AI) is aimed at the construction of artificial systems with intelligent behavior. At first, AI researchers tried to elaborate a uniform technological (computational) system that had intelligence. However, psychological and neurophysiological studies demonstrated heterogeneous hierarchical organization of the human psyche and intelligence. That is why the contemporary approach to AI is based on heterogeneous hierarchical architecture of computational systems. In this paper, we study the intelligence hierarchy formalized …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 6–17 Read article