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709 articles for “Correlate”
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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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Thermal Engineering: Principles, Evolution, and Comparative Analysis with Classical Approaches
Abstract: Thermal engineering is the study of heat transfer, thermodynamics and energy conversion systems. However, through the years it has progressed from classical theories, which relied on empirical correlations, to enhanced computed and nanotechnology based approaches. This paper highlights the principles of thermal engineering, its important systems and latest developments of thermal engineering and provides extensive comparisons between the classical (traditional) methods and the most recent developments or innovations such as …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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Mechanical Characterization of Untreated Banana Fiber Reinforced PLA Bio-Composites Manufactured by 3D Printing
Abstract: This study investigates the development and mechanical characterization of fused deposition modeling (FDM) filaments utilizing polylactic acid (PLA) reinforced with untreated banana fibers (BF). To address the brittleness of pure PLA and valorize agricultural waste, composite filaments with fiber loadings of 0, 1, 3, and 5 wt.% were fabricated using a single-screw extruder. A Taguchi L16 orthogonal array was employed to optimize printing parameters, including fiber percentage, raster angle, infill …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Human–Nature Relationships and Sustainable Development: Insights from Environmental Studies
Abstract: The accelerating environmental crisis highlights the need to re-examine the fundamental relationship between humans and nature. Conventional development models often promote a utilitarian view of nature, leading to ecological degradation, biodiversity loss, climate change, and unsustainable resource use. The research problem addressed in this study is the inadequate integration of human–nature relationship perspectives within sustainable development frameworks, despite growing recognition that environmental sustainability depends not only on technological innovations and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 38–43 Read article
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Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
Abstract: Before genome-wide molecular markers became affordable, plant and animal breeding relied on pedigree-based prediction (P-BLUP), using the expected additive relationship matrix (A) derived from recorded ancestry. Genomic selection replaced or augmented this with a marker-derived genomic relationship matrix (G; GBLUP), and single-step methods combining A and G are now standard when only a subset of a breeding population is genotyped. It is less clear whether pedigree information retains any predictive …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Structural and Hydrogeological Characterization of the Olkaria Dome Geothermal Field, Lake Naivasha Basin
Abstract: The Olkaria Dome Geothermal Field in the Lake Naivasha Basin is one of Kenya's principal geothermal resource areas, where fluid circulation and reservoir performance are strongly controlled by geological structures and hydrogeological conditions. This study integrates geological, structural, hydrogeological, mineralogical, and soil-gas data to characterize reservoir permeability and fluid flow pathways. Correlation of lithological units with drilling circulation-loss zones identifies highly fractured formations that enhance geothermal fluid movement. Mineralogical mapping …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 28–49 Read article
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Optimization of Maximum Charge Per Delay Using Site-Specific Ground Vibration Prediction Models for Safe Blasting in an Opencast Coal Mine
Abstract: Drilling and blasting are critical operations in opencast coal mining that directly influence rock fragmentation, excavation efficiency, and production performance. However, excessive blast-induced ground vibration and air overpressure can create safety and environmental concerns, particularly in mines located near villages and sensitive structures. The present study was conducted at Chapapur-II Colliery, Mugma Area, Eastern Coalfields Limited (ECL), with the objective of optimizing blast design through the determination of safe maximum …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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Next-Generation Biorepositories: Accelerating Infectious Disease Research and Vaccine Innovation
Abstract: Next-generation biorepositories have emerged as critical infrastructure for advancing infectious disease research and accelerating vaccine development. By integrating cellular, genomic, and clinical data within harmonized frameworks, these repositories overcome traditional limitations of fragmented datasets and limited interoperability. The evolution from conventional biobanks to digitally enabled, multi-omics platforms has enabled comprehensive analysis of pathogen–host interactions, facilitating the identification of novel vaccine targets and correlates of protection. The COVID-19 pandemic underscored the …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article