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5 articles for “Dual-constituent”
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Theoretical Analysis of Volume/Weight Fraction of a Dual-Constituent Composite
Abstract: Conventional equations used in analysis of composite materials are modelled based on volume-averaging principle. The volume-averaging equations were re-evaluated to provide an alternative weight-averaging consideration as a result of the difficulty in practical determination of volume fraction of individual constituents of composite material, especially particulate composite. The equivalent weight-averaging equation analysis showed that density plays a significant determining factor in material selection of individual constituent; and composite density evaluated using …
Published in Journal of Polymer & Composites · Vol. 5, Issue 1, 2017 · pp. 32–39 Read article
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Multifunctional and Photocatalytic Properties of DyFeO₃/Dy₃Fe₅O₁₂ Biphasic Nanoparticles
Abstract: Rare-earth orthoferrites constitute a class of compounds that exhibit remarkable magnetic, optical, and electronic properties across a wide temperature range. In the present study, a dysprosium-based orthoferrite containing dual phases of DyFeO₃ perovskite and Dy₃Fe₅O₁₂ garnet was successfully synthesized via the co-precipitation technique. X-ray diffraction (XRD) analysis was employed to investigate the structural configuration of the synthesized material. The diffraction pattern confirmed the formation of a biphasic composite comprising orthorhombic …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 41–54 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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GLP-1 Receptor Agonists: A Dual Therapeutic Strategy for the Management of Type 2 Diabetes Mellitus and Obesity
Abstract: For the treatment of obesity and type 2 diabetes mellitus (T2DM), glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become a revolutionary class of pharmaceutical drugs. These drugs were first created as glucose-lowering treatments, but they have now shown other advantages, such as notable weight loss, better cardiovascular results, and general metabolic control. The objective of this narrative review is to assess the pharmacological mechanisms, clinical efficacy, safety profile, and therapeutic …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 69–75 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article