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777 articles for “Performance indicators”
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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Evaluation of Building Foundations: A Structural Engineering Perspective
Abstract: This study focuses on the comprehensive assessment and design of building foundations, emphasizing the critical relationship between structural loads and soil properties. The depth of the foundation is determined by analyzing the load exerted on the column and the soil's bearing capacity, both of which play a pivotal role in ensuring stability. Similarly, the foundation base size is calculated based on these parameters to ensure it effectively transfers the load …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 6–18 Read article
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Sensitivity of Shape Factor Impacts in Water Works Infrastructure Failure
Abstract: Simple geometry used in water software and hydride sign works was failed here. Comprehensive real data with complex irregular geometries were incorporated provided for wider application and feasible solutions. A realistic and more practical approach was tested, found reliable and compatible with water engineering principles considered for calculation of volumetric water rates by three types of Ogee shapes. Results indicated proximity between numerical and experimental data accurately predicted based on …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 25–34 Read article
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Encoding-Decoding Algorithm Using the Catalan Transform of Weighted Tribonacci Sequence
Abstract: In order to improve information security, this paper presents a unique algorithm for encoding and decoding messages utilizing the Catalan Transform of a Weighted Tribonacci Sequence. Utilizing the Catalan and Tribonacci sequences, the methodology combines the concepts of number theory and combinatorics to create an effective encryption and decryption process. First, an array is created by mapping each character in the plaintext message to its corresponding ASCII value. The ASCII-weighted …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 12–16 Read article
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Kisunla (Donanemab): A Novel Breakthrough Illuminating a Path to Better Alzheimer’s Outcomes
Abstract: Background: Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive decline, memory loss, and loss of independence. Despite decades of extensive research, disease-modifying treatments have been limited in success. Recent therapeutic advancements have led to the development of monoclonal antibodies targeting amyloid-beta (Aβ) plaques, particularly the pyroglutamate-modified variant, a key pathological hallmark of AD. Objectives: This review aims to explore the therapeutic potential of Donanemab (Kisunla), a novel …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 37–45 Read article
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Performance and Exergy Loss Analysis for a Single Slope Solar Still Using PMMA
Abstract: A solar still constructed using polymethyl methacrylate (PMMA) represents an improved approach to solar desalination, in which conventional materials such as metal or concrete are substituted or reinforced with PMMA- based composites PMMA sheets are often used as the transparent glazing cover of the solar still instead of glass. It allows maximum solar radiation to pass into the basin, heating the saline/brackish water effectively. A tubular solar still made from …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 799–807 Read article
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An Evaluative Comparison of CD123 and CD66c as Biomarkers to Detect Minimal Residual Disease in B-Cell Acute Lymphoblastic Leukemia
Abstract: Background: B-cell Acute Lymphoblastic Leukemia (B-ALL) often shows lineage heterogeneity with lymphoid cells expressing myeloid markers. Minimal Residual Disease (MRD) refers to the small number of cancer cells that may remain in a patient's body after treatment and that are undetectable by standard diagnostic methods. In diseases like B-cell Acute Lymphoblastic Leukemia (B-ALL), MRD is a critical prognostic indicator, as its presence can signal a higher risk of relapse. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 7–12 Read article
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Enhancing Mechanical and Durability Performance of Composite Material Using Egg Shell Powder and Copper Slag.
Abstract: This research aims to investigate the use of copper slag (CS) and Egg Shell Powder (ESP) as partial substitutes in polymer composite to enhance mechanical properties and durability. Considering that the construction sector is recognized for consuming a significant amount of resources in comparison to other industries, its further expansion poses a direct danger to resource availability. This could disrupt ecosystems, lower biodiversity, and have an effect on riverine and …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 1–7 Read article
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Pharmacological evaluation of Hepatoprotective activity of Indian medicinal plants Cordia Myxa and Canscora diffusa on wistar albino rats
Abstract: Two plants (Cordia myxa and Canscora diffusa), which were claimed to possess hepatoprotective activity, were selected. The Selected plants were authenticated by an expert botanist. In the current study, herbal extraction involving solvents of decreasing polarity (petroleum ether, ethyl acetate, and hydroalcoholic) was used to extract bioactive compounds from the plants of Cordia Myxa and Canscora diffusa in polyherbal preparations. A phytochemical evaluation was performed, including an acute toxicity study …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 31–44 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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Fundamental Analysis of Mid Cap Stocks of Indian in IT Sector
Abstract: Fundamental analysis is also needed for the classification of financial assets (stocks, bonds, and currencies) using economic indicators or valuation methods to determine their true value. The present study focuses on mid-cap stocks in the information technology (IT) sector of the Indian market, which includes sectors such as software development, hardware manufacturing, semiconductors, IT services, internet and e-commerce, telecommunications, cybersecurity, and cloud computing. Mid-cap stocks may offer a good mix …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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Effect of Silicon Carbide Filler on Mechanical and Damping Behavior of Basalt/Stainless Steel Hybrid Laminated Composites
Abstract: This study consolidates three experimental investigations on hybrid laminated composites reinforced with basalt fibre, stainless steel (SS) wire mesh, and silicon carbide (SiC) filler using vacuum infusion moulding. Three laminates were fabricated with filler variations of 0%, 1.5%, and 3% by weight of matrix material, maintaining a stacking sequence of [0B/0W/45B/0W/0B/45W]s with a thickness of 4–5 mm. The first investigation focused on impact strength. Drop-weight impact testing revealed a steady …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 367–385 Read article
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Taguchi Design for Optimization of Reinforcement at Toe area of Carbon Fiber Foot Plate
Abstract: This paper uses the Taguchi method to design experiments to determine the effect of various factors, such as fiber orientation, fiber type, and number of layers, on the reinforcement at the toe area. The experiments are Taguchi method, which allows for identifying the optimal combination of factors that minimize the carried out using a combination of computer simulations and physical tests. The results are analyzed using the variability in the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 115–121 Read article
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Buckling Assessment of Concrete Column, RCC Column and Concrete Column Strengthened by CFRP with Different Slenderness Ratio.
Abstract: Using finite element modeling, this study presents a buckling analysis and total deformation assessment of a concrete column, a column made of reinforced cement concrete (RCC), and a concrete column enhanced with Carbon Fiber-reinforced Polymer (CFRP) laminates (FEM). Utilizing the ansys18.1 software, a comprehensive analysis is carried out for columns that have a variety of slenderness ratios to arrive at a more accurate performance estimation. Because they can support the …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. S11–S22 Read article
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Calibration and Validation of Micro-simulation (S-Paramics) Model for Merging Sections
Abstract: Recently, simulation models have been widely used across the world in terms of evaluation of the performance of different traffic facilities, such as normal sections, intersections, roundabout, etc., the economic evaluation and safety evaluation. To examine the accuracy and versatility of micro simulation programmes such as S-Paramics when modelling highways, is by calibrating and then validating the model against real life data taken from loop detectors. In this study, a …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 1–11 Read article
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Polymer Composite Nodes for Smart IoT Environmental Monitoring: Applying ML-Calibrated RF Sensors for Exceptionally Low-Power, Flexible, and Dependable Performance
Abstract: The quick usage of the Internet of Things (IoT) for monitoring the environment needs sensor platforms that are accurate, responsive, adaptable, energy-efficient, and able to work in many different conditions. This work presents polymer composite nodes equipped with machine learning (ML)-calibrated radio-frequency (RF) sensors that adhere to stringent criteria. Sensor substrates built of flexible polymer matrices with conductive fillers are strong, light, and flexible enough to fit on surfaces that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1205–1221 Read article
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A comprehensive study on elemental analysis and sustainable integration of CETP (common effluent treatment plant) sludge as a substitute to sand in concrete
Abstract: This study examines the utilization of sludge from common effluent treatment plants (CETP) as a fractional substitute for sand in M20 concrete mixtures. Its aim is to address disposal challenges associated with CETP sludge while promoting sustainable use of natural resources. The research assesses the structural and microstructural attributes of concrete mixes containing varying percentages of CETP sludge (0%, 10%, 20%, 30%, 40%, and 50%). Tests conducted include compressive, flexural, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 49–59 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 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