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427 articles for “behavioral analysis”
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CFD Analysis of Electric Vehicles Battery Pack: A Research Study
Abstract: The goal of the project is to keep the battery temperature within the specified range and to improve the battery pack's performance under different temperature settings. To achieve these goals, we employ software to analyze the data and provide the necessary output. With model-based design, you can understand the dynamic behavior. For this project, a CAD model was produced with Creo Parametric. We used the STAR CCM+ Software for analysis …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 28–32 Read article
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A Gamified Digital Platform for Sustainable Farming Practices: Simulation, Statistical Analysis, and Water Resource Management Implications
Abstract: Sustainable farming practices play a critical role in enhancing agricultural water use efficiency, conserving limited water resources, and ensuring long-term food security under increasing environmental and climatic pressures. Despite their importance, farmer participation in conventional agricultural extension and training programs remains limited due to low engagement and a lack of sustained motivation. To address this challenge, this study proposes a gamified digital decision-support platform aimed at promoting sustainable agricultural and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 13–24 Read article
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Gene Expression Profiling in Autism Spectrum Disorder: A Microarray Analysis Using Gse42133
Abstract: Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental disorder characterized by difficulties in social interaction, communication impairments, and restricted or repetitive patterns of behavior. Despite its increasing prevalence, the underlying molecular mechanisms remain poorly understood. Advances in transcriptomics offer opportunities to investigate the gene expression changes that may contribute to ASD pathophysiology. In this study, the microarray dataset GSE42133 was analyzed, which comprises gene expression profiles from peripheral blood samples …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 37–48 Read article
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Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review
Abstract: The structural analysis and design of multi-story residential buildings have become more complex because cities continue to grow while safety requirements become more demanding and building codes establish stricter requirements. The traditional methods of structural analysis worked through manual execution which required extended periods to complete and suffered from computational errors that primarily affected indeterminate structures and lateral loading conditions. This review paper providesa detailed evaluation of previous works related …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 40–45 Read article
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Facile Synthesis and Characterization of Cd²⁺ Doped NiAl₂O₄ Nanoparticles for Advanced Polymer Composite Integration
Abstract: Ni1-xCdxAl2O4, where 0 ≤ x ≤ 0.5, was successfully synthesized using the chemical co-precipitation technique, a scalable and cost-effective route suitable for composite material applications. X-ray diffraction (XRD) analysis revealed a crystalline cubic spinel structure for the resulting nanoparticles, with determined crystallite sizes ranging from 36 to 12 nm for NiAl2O4 and Cd-doped NiAl2O4. The respective band gaps for the materials were found to be 3.51 and 4.18 eV. Infrared …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 59–72 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Expanding Hicks Contraction Theory, Multi-Valued Mappings in Generalized b-Menger Spaces
Abstract: This paper extends the Hicks contraction theory to multi-valued mappings within generalized b-Manger spaces, a class of metric-like structures that accommodate more flexible distance functions. By introducing new definitions, such as generalized admissibility conditions and weak compatibility in the multivalued sense, we provide a comprehensive analysis of how these contractions behave in broader topological and metric contexts. Our approach systematically generalizes classical contraction principles by relaxing conventional constraints, thereby broadening …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 1–05 Read article
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Study of High-rise Building with Varying Imposed Loads Condition for Lateral Load Excitation
Abstract: The demand for land has risen, causing scarcity and leading to a significant increase in the construction of tall residential and commercial buildings. With limited land and a growing population, expanding horizontally is not feasible, making multistory buildings the solution. Urbanization has led to the construction of numerous high-rise structures, emphasizing the need for a thorough understanding and analysis of these structures. The present study aims to determine the critical …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 92–106 Read article
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An Investigative Study on Secure Coding Practices with Shell Scripting
Abstract: This investigative research delves into secure coding practices within shell scripting, aiming to reduce prevalent security vulnerabilities and improve the overall security stance of shell scripts. It emphasizes three key areas: static analysis, dynamic analysis, and manual code review. Through static analysis, the code structure, usage of unsafe functions, and potential vulnerabilities are examined without executing the script. Dynamic analysis entails running the script in controlled settings to detect runtime …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 16–23 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Experimental Assessment and Statistical Argument of Al-Si/CSA/MoS2 Hybrid Composites for Mechanical and Tribological Characteristics
Abstract: To augment the mechanical and tribological properties of Al-Si matrix composites complement with molybdenum disulphide (MoS₂) and coconut shell ash (CSA), a mixed experimental and Face-Centered Composite (FCC)strategy was employed. A liquid metallurgical method called stir casting was used to create hybrid composites with 5–15 wt.% CSA and 1–3 wt.% MoS₂. A FCC experimental design with thirty runs was used to thoroughly evaluate the materials. This design allowed for the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 792–802 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Social Dynamics and Behavioral Influences on Puberty Onset in Dairy Heifers: A Comprehensive Study
Abstract: Puberty onset in dairy heifers is a critical milestone for reproductive efficiency and overall herd productivity. This study investigates the multifaceted roles of social dynamics and behavioral interactions in determining the timing of puberty in dairy heifers. By examining both individual and group-level behaviors, the research explores how factors, such as social hierarchy, peer interaction, environmental stimuli, and stress response contribute to variations in puberty onset. The study integrates observational …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 1, 2025 · pp. 6–13 Read article
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Regression Analysis of Topological Indices and Physicochemical Properties of Polymer-Based Anticancer Drugs
Abstract: The research analyzed the quantitative correlation between topological indices and the physicochemical properties of selected anticancer compounds using regression analysis. Various topological descriptors—such as the First Zagreb Index, Second Zagreb Index, and Forgotten Index were calculated and regressed against key molecular features, including polar surface area, melting point, and molar refractivity. The regression analysis revealed linear correlations between these topological indices and the properties of anticancer drugs, with particularly strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 255–267 Read article
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Design of Maritime Empennage Unmanned Aerial Vehicle (UAV): A Comprehensive Study
Abstract: This project presents a comprehensive study on the design and development of a maritime empennage unmanned aerial vehicle (UAV) tailored for operations in coastal and naval environments. The primary objective is to engineer an efficient, stable, and mission-adaptable UAV with an optimized empennage configuration that enhances aerodynamic performance and control in maritime conditions. The study involves a systematic design process encompassing mission requirement analysis, conceptual and preliminary design, aerodynamic modeling, …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Multiphysics Simulation and Thermal Characterization of VVER-1200 Steam Generator for Optimized Heat Transfer and Structural Integrity
Abstract: VVER-1200 is a Russian design reactor which consist of Two circuits comprising reactor core, piping, vertical steam generator, pressurizer, active and passive safety systems, turbine and generator. This reactor involves single phase flow from reactor core to steam generator (SG) where high pressurized water exchanges heat with normal water resulting in steam production. The flow is turbulent, which enables maximum efficiency to heat transfer. Using ANSYS Workbench's multi-physics simulation capabilities, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 7–15 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Investigation of Mechanical and Thermal Behavior of Glass Fiber–Enhanced PEEK Parts Produced via Fused Filament Fabrication
Abstract: This study investigates the thermal and mechanical properties of Polyetheretherketone (PEEK) polymer and Glass Fiber (GF) reinforced PEEK polymer fabricated using the Fused Filament Fabrication (FFF) process. Specimens were printed in three building orientations—X, Y, and 45°—to evaluate the influence of layer deposition on polymer material performance. Tensile and flexural tests revealed that GF-PEEK polymer exhibited significantly higher Ultimate Tensile Strength (110 MPa in X-orientation), Young's Modulus (4.5 GPa), and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 65–78 Read article
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Synthesis, Characterization, and Thermogravimetric Analysis of Polylactic Acid-Based Bio-Adhesive for Industrial Applications
Abstract: This study investigated the synthesis, characterization, and thermogravimetric analysis of polylactic acid (PLA)-based bio-adhesives for industrial applications. The adhesive was synthesized using an emulsion polymerization method with varying compositions of PLA and vinyl acetate. The physicochemical, mechanical, and thermal properties of the synthesized adhesives were assessed through pH analysis, viscosity measurement, peel strength evaluation, tack tests, biodegradability investigations, Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), and Thermogravimetric Analysis …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 39–54 Read article