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368 articles for “structural behavior”
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Mental Health Nursing Interventions in Schizophrenia Care: Effectiveness of Nurse-Led Strategies in Managing Schizophrenia Disorder
Abstract: Schizophrenia is a chronic and severe mental disorder characterized by disturbances in thought, perception, emotion, and behavior that significantly impair an individual’s functioning and quality of life. Mental health nurses play a pivotal role in the management of schizophrenia through comprehensive, patient-centered, and evidence-based interventions. This article critically examines the effectiveness of nurse-led strategies in managing schizophrenia disorder, focusing on pharmacological support, psychosocial interventions, psychoeducation, therapeutic communication, relapse prevention, and …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 Read article
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Analytical Study of Concrete-encased Steel Column Building against Blast Load
Abstract: Study of behavior of composite building with Concrete-Encased Steel (CES) columns for blast loading is done. This is compared with the behavior of conventional building having reinforced concrete (RC) columns. In the following study, both composite and RC buildings are subjected to 0.1 ton, 0.3 ton and 0.5 ton TNT equivalent charge weight of blast load with a standoff distance of 20 m, 30 m and 40 m. To study …
Published in Journal of Structural Engineering and Management Read article
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Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
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Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article
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An Experimental Study to Assess the Effectiveness of Self Efficacy on Academic Performance Among B.Sc. Nursing Students at Selected Colleges, Mangalore
Abstract: Self-efficacy refers to an individual's belief in their capacity to execute behaviors necessary to produce specific performance attainments. This study was conducted to evaluate the impact of self-efficacy on the academic performance of first-year B.Sc.Nursing students in selected colleges in Mangalore. The primary objective was to assess the relationship between self-efficacy levels and academic outcomes among these students. A quantitative research design was adopted for this study, with a sample …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 65–83 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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Knowledge and Practices of Postnatal Mothers Regarding Newborn Care in a Selected Hospital in West Bengal
Abstract: The health of newborns is significantly impacted by the extent of knowledge and behaviors exhibited by mothers in the postnatal period. By assessing the level of knowledge and practices it is possible to predict the cause and reduce the rate of neonatal mortality and morbidity. A research investigation aimed at evaluating the understanding and routines of postnatal mothers regarding the care of newborns in a chosen hospital located in West …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 30–37 Read article
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Codal Validation and Optimization of Gantry Girders Under Variable Wheelbase and Impact Loads: A Review of Analytical, Numerical, and Codal Approaches
Abstract: Gantry girders serve as critical structural elements in industrial facilities such as steel plants, workshops, and heavy manufacturing units, where electric overhead traveling (EOT) cranes operate. The design of these girders is governed by stringent codal provisions to ensure safety under bending, shear, and deflection. However, discrepancies between codal predictions, analytical formulations, and finite element analysis (FEA) results, particularly under variable wheelbase and dynamic impact loads, have been widely reported. …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Role Strain Among Male Nursing Students in Selected Nursing Colleges in Mangalore
Abstract: Background: The role is the behavior that is expected out of a person in a particular status. Social standards influence the advantages and responsibility of a status, and roles are performed in accordance with social standards. Role strain is the stress that occurs if they are not able to meet the expected role in their life and are facing inequalities in their profession. Objective: To assess the role strain among …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 6–11 Read article
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A Descriptive study to assess the prevalence of Nomophobia among Nursing students in Chirayu College of Nursing Bhopal (MP).
Abstract: Nomophobia, defined as the fear or anxiety of being without access to a mobile phone, has emerged as a growing behavioral concern in the digital age, particularly among young adults. Nursing students are especially vulnerable due to their extensive reliance on smartphones for academic, clinical, and social purposes. The present descriptive study was conducted to assess the prevalence of nomophobia among nursing students at Chirayu College of Nursing, Bhopal (Madhya …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 36–41 Read article
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Polymeric Hybrid Systems Engineered with Multiple-Stage Energy Absorption for Temperature Control
Abstract: Polymer–composite based phase change systems offer an effective strategy for adaptive thermal management; however, most existing systems exhibit single-stage latent heat transitions, limiting their applicability in environments with fluctuating thermal loads. In this study, a thermoplastic polyurethane (TPU) polymer matrix was reinforced with two microencapsulated paraffin-based phase change materials (PCM-A and PCM-B) to achieve multi-level latent heat storage behavior. The fabricated TPU/PCM-A10–B20 polymer–composite demonstrated two distinct endothermic transitions at approximately …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 146–155 Read article
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Design and Analysis of Low-Power CMOS Inverter Chains for High-Speed Digital Circuits
Abstract: This report briefly explains the design process, structure, and evaluation of a CMOS inverter designed using a 45 nm technology process with a focus on its propagation delay and power consumption. Moreover, the CMOS inverter design will be created using the Cadence Virtuoso design environment, along with a post-layout analysis of the design. Performance evaluation of the designed circuit will be carried out through the execution of a transient analysis …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 40–57 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 Read article
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Design and Ballistic Performance Assessment of Pattern-Optimized Lightweight Composite Armor Using ANSYS Explicit Dynamic and AUTODYN
Abstract: This study investigates the ballistic performance of lightweight composite armor panels designed to defeat 9 mm full-metal-jacket (FMJ) threats using high-fidelity numerical simulations. Four different composite materials were arranged into panels of identical overall dimensions; only the internal segment pattern was varied to explore geometric resistance effects while keeping mass and material type controlled. Ballistic impact simulations were performed using ANSYS Explicit Dynamics and AUTODYN to capture high-strain-rate behavior, local …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 174–190 Read article
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An Investigative Study of Competition-Aware Incentive Mechanisms in Mobile Ad Hoc Networks
Abstract: Mobile ad hoc networks (MANETs) present a unique communication paradigm characterized by their decentralized and dynamic nature, where nodes rely on each other for packet forwarding and network maintenance. However, the inherent selfishness of individual nodes and resource constraints often leads to non-cooperative behaviors, significantly degrading network performance. This investigative study delves into the critical role of competition-aware incentive mechanisms in fostering sustainable cooperation within MANETs. Competition, a portmanteau of …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Drug Marketing in Tropical Regions and Its Effect on Pharmacovigilance Awareness and Reporting
Abstract: Drug marketing practices in tropical regions present a complex interplay between pharmaceutical promotion, healthcare infrastructure limitations, and public health outcomes. These regions – characterized by high disease burden, socio-economic disparities, and diverse healthcare delivery systems – often experience unique challenges in ensuring safe and rational drug use. Aggressive and sometimes unregulated marketing strategies by pharmaceutical companies may significantly influence prescribing behavior, patient compliance, and, ultimately, pharmacovigilance systems. Pharmacovigilance, defined as …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 · pp. 1–17 Read article
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Comparative Buckling Load Analysis of Thin Functionally Graded Material Plates with Variable Distributions: Power Law vs. Sigmoidal vs. Exponential
Abstract: A comprehensive comparative analysis of buckling load behavior in thin Functionally Graded Material (FGM) plates with variable material distributions is presented in this paper. FGMs, characterized by gradient composition, possess unique mechanical properties suitable for diverse engineering applications. The study focuses on three distinct distribution functions: Power Law, Sigmoidal, and Exponential, each exerting different influences on the material gradient. Finite Element Analysis is utilized in exploring the buckling response for …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 98–105 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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Synthesis of YSZ nanopowders by using PVA-metallic nitrate combustion method
Abstract: Yttria-stabilized zirconia (8YSZ) powder is widely used as a thermal barrier coatings material for various aeronautical gas turbine engine components and structures operating in high temperature environment as well as for the nozzle of solid rocket engine due to its relatively high thermal expansion coefficient, thermal reflectivity, low thermal and good corrosion resistance. The synthesis of single or composite metal oxides by combustion of metal-polyvinyl alcohol gel precursors (Me-PVA) has …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article