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924 articles for “evaluation system”
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In-Situ Polymerized GO/PANI Composites: Structural Evolution, Optical Modulation, and NH₃ Sensing at Room Temperature
Abstract: Graphene oxide (GO)/polyaniline (PANI) composites with varying PANI contents (20, 40, and 60 wt%) were synthesized via in-situ oxidative polymerization and systematically investigated for their structural, morphological, optical, and gas-sensing properties. X-ray diffraction (XRD) confirmed a progressive increase in interlayer spacing and partial exfoliation of GO layers with increasing PANI content, indicating intercalation-assisted hybridization. Fourier transform infrared (FTIR) spectroscopy revealed the characteristic vibrational bands of both constituents and confirmed strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Comparative Evaluation of Variable Thicknesses of Vacuum-formed Retainers
Abstract: Since the commencement of this orthodontic specialty, it is a grueling and portentous task to maintain the orthodontically treated teeth in their corrected and desired position. Retention of what has been achieved is the goal and the most clamant phase of any orthodontic treatment as well as the orthodontist. To maintain the stomatognathic system's esthetics, function, and stability, orthodontic retainers play a vital role in precluding post-treatment tooth movement. The …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 1, 2024 · pp. 12–16 Read article
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Stress Level and Coping Strategies Among the Students Preparing for Common Entrance Test in Coaching Classes of a Selected City
Abstract: Stress is a natural response of your body to any type of demand, whether it is a positive or negative experience. When individuals experience stress due to external factors, their bodies release chemicals into the bloodstream, which can be beneficial if the stress is caused by physical danger. However, if the stress is a result of an emotional situation and there is no way to channel this additional energy and …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 13–21 Read article
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Application of Metabolomics in Pharmacognosy
Abstract: In the field of pharmacognosy, the identification, quality control, and bioactivity evaluation of medicinal plants and natural products have become significantly more effective thanks to the development of a strong tool known as metabolomics, which is the complete study of small-molecule metabolites in biological systems. Metabolomics offers more in-depth insights into phytochemical composition, plant metabolism, and the mechanisms that underlie medicinal benefits. It does this by enabling high-throughput analysis and …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Tailoring The Electrochemical Interface of Graphene–Gd₂O₃ Nanocomposites for Advanced Energy Storage
Abstract: Graphene–Gd₂O₃ nanocomposites were synthesized by incorporating varying concentrations of reduced graphene oxide (rGO) into Gd₂O₃ using a straightforward room-temperature solution method. The composites were analyzed using various distinct characterization techniques, including X-ray diffraction (XRD), Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS). Electrochemical measurements, particularly cyclic voltammetry (CV), demonstrated that the incorporation of graphene significantly enhanced the electrochemical performance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 369–388 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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A Systematic Review on Blockchain Technology for Maintaining Data Security in Cloud Systems
Abstract: Cloud is one of the fastest growing technologies that is widely adopted in different types of application systems such as healthcare, smart network, supply chain management, internet of things (IoT), and many others. However, it is more prone to the security threats due to the inclusion of different technologies. Blockchain technology is currently being used to safeguard cloud data security, which provides the features of decentralization, resilience to failure, and …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 31–39 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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From Waste to Strength: Hybrid Binder Approach for Sustainable M25 Concrete
Abstract: The growing demand for concrete in infrastructure development has led to increased cement consumption, raising serious environmental concerns due to high energy use and carbon dioxide emissions correlated with cement manufacturing. In this context, the use of industrial residues as partial substitutions for cement has achieved deep focus as a sustainable construction strategy. The current investigations experimentally explore the strength and quality performance of concrete produced using a hybrid binder …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 24–32 Read article
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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In silico Molecular Docking Analysis of Stephania glabra phytocompounds Targeting Thymidylate Kinase for potential Antituberculosis Activity
Abstract: Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium tuberculosis. It mainly affects the lungs and spreads through the air when a person with active TB in their lungs coughs, sneezes, or spits. This study investigates several bioactive compounds derived from plants to forecast how effective plant-based ligands will be at preventing tuberculosis. The purpose of the study was to use computational techniques to assess the effectiveness of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 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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Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
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Optimized Utilization of Kota Stone Slurry Waste in Fly Ash–Based Geopolymer Mortar: A Taguchi-Driven Approach
Abstract: The large-scale generation of stone-processing wastes presents a critical sustainability challenge and an opportunity for value-added reuse in construction materials. This study develops a high-performance fly ash geopolymer mortar by partially replacing Class F fly ash with Kota stone slurry waste (KSSW) and optimizing the key mix parameters using a Taguchi design framework. Five governing factors—binder replacement level, NaOH molarity, sodium silicate–to–sodium hydroxide ratio (SS/SH), curing temperature, and alkaline solution-to-binder …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 426–445 Read article
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Role of Inflammatory Markers and Lipid Abnormalities in Glycemic Dysregulation Among Type 2 Diabetics
Abstract: Background: Diabetes mellitus (DM) is a chronic metabolic disorder characterized by systemic inflammation and associated with various complications in multiple organs. Type 2 diabetes mellitus (T2DM) specifically involves insulin resistance, hyperglycemia, and inflammatory responses. This study investigates the levels of various inflammatory markers and their correlation with glycaemic control in T2DM patients. Objective: To evaluate the levels of inflammatory markers (including NLR, PLR, SII, SIRI, CRP, IL-6, TNF-α, TGF-β, MCP-1, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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Feedback Based Three Finger Robotic Gripper
Abstract: This research presents the development and validation of a novel three-finger robotic gripper system enhanced with force feedback capabilities. Leveraging Force-Sensing Resistor (FSR) sensors and servo actuators, the gripper is engineered to dynamically adjust its grasp based on real-time force feedback. Through a series of iterative design iterations and experimental validation, the gripper demonstrates robustness and adaptability in various gripping scenarios. The integration of force feedback allows the gripper to …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 11–17 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Exploring the Therapeutic Potential of Grapeseed Phytoconstituent Through Molecular Docking Analysis for Multiple System Atrophy Treatment
Abstract: Objective: Alpha-synuclein (α-Syn) aggregates are a common neurodegenerative disorder associated with Parkinson’s disease and multiple system atrophy (MSA). As a fruit that is extensively grown, grapes have several pharmacological advantages when it comes to reducing oxidative stress. Research has indicated that grape seed phytoconstituents have a major effect on α-Syn. The objective of this study is to inquire into the pharmacological characteristics and potential therapeutic applications of grape seed derivatives …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 14–26 Read article