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1716 articles for “system evaluation”
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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, IL-4, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 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 · pp. 10–22 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 · pp. 25–37 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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Online Open Access E-Journals in LIS: An Analytical Study
Abstract: ABSTRACTE-resources are part of information technology. The last one decade has seen a great boom in scholarly e-resources. The revolution in information and e-resources is bringing about significant changes everywhere. E-journals have been playing substantial role in information systems. The development of e-journals during recent years has given libraries a powerful platform to support learning and research with availability of both forms of journals in the library. It has become …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 3, 2012 · pp. 28–35 Read article
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Absorption Spectra Calculation and Charge Distribution Analysis of para-azoxyanisole: A Semiempirical Study
Abstract: AbstractSemiempirical study of electronic structure of para-azoxyanisole (PAA) has been carried out. In order to obtain more information on the reactivity of PAA molecule towards nucleophile and electrophile, semiempirical (CNDO/S, and INDO/S) based calculations have been performed to evaluate the negative and positive charge distribution. Further, CNDO/S + CI and INDO/S + CI methods have been employed to calculate and analyze the absorbance spectral measurements in UV-visible range, and charge …
Published in Research & Reviews : Journal of Physics · Vol. 6, Issue 1, 2017 · pp. 5–11 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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Thermal Modeling of Open Sun Drying System: An Experimental Validation
Abstract: In the work being presented, the expressions for crop and moist air temperatures of open sun drying system in quasi - static state conditions have been derived. The analysis was carried out by writing energy balance equations for crop surface and moist air above the crop surface. A computer model was developed to predict the crop temperature and moisture evaporation rate of potato slices of approximately 2.5 mm thickness exposed …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 5, Issue 2, 2015 · pp. 30–39 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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An Improved Ternary Logic Synthesis Approach Using Ternary Max-Min Algebra
Abstract: AbstractQuantum computation which relies on exploiting quantum mechanical phenomena, has received significant attention in recent years. Higher dimensional quantum systems increase the density of encoded information per computing element (e.g. qutrit for the 3-level system), resulting in less resource overhead. Recently, there have been several works in the synthesis of ternary reversible functions, most of which are not scalable. Therefore, this study proposes a scalable approach for the synthesis of …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 40–47 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
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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SIMULATION OF ETHANOL DISTILLATION USING CHEMCAD
Abstract: Aiming for Sustainable and low-Cost operation of ethanol distillation. The recovery step is usually carried out during the distillation process and is challenging, particularly regarding purity, operating cost issues. This study aimed to evaluate the ethanol distillation from ethanol-methanol and water mixture as a function of the reflux ratio in a process employing a Fractionating column. Test were performed using a standard mixture of ethanol, methanol and water using total …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 2, 2019 · pp. 1–6 Read article
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Effect of Local Application of Phenytoin on Wound Healing in Surgical Wounds: A Scientific Review
Abstract: Surgical wound healing is a dynamic biological process influenced by local tissue response, vascularity, infection control, and systemic patient factors. Delayed wound healing contributes significantly to postoperative morbidity and healthcare costs. Phenytoin, a hydantoin derivative traditionally used as an antiepileptic agent, has demonstrated unexpected wound-healing properties when applied topically. This review critically evaluates experimental and clinical evidence regarding the role of locally applied phenytoin in enhancing wound healing in surgical …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 15–19 Read article
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Embedding and Extraction of Watermark in Digital Audio
Abstract: AbstractDigital Watermarking, a discipline of steganography, is used to hide within an image or audio file some data specifically relating to that file. An enormous amount of work has been carried out in the field of Image Watermarking. Due to the increasing incidents of audio piracy and illegal retrieval of audio files over the internet, the field of audio watermarking has widespread attention from industry and researchers. In this paper, …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 8–12 Read article