Search
46 articles for “linear density”
-
Structural Health Monitoring of Bridges using Digital Image Correlation: A Case Study
Abstract: The rapid development of the transportation section and continuous change in traffic volume, density, and loading patterns over the last few decades have increased the probability of a hazard and reduced the life of existing bridges. Structural Health Monitoring (SHM) is a process of implementing a damage detection and characterization strategy for engineering structures. This paper presents a review of various trends and technology adopted for SHM. However, it focuses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–10 Read article
-
Unified Mass–Energy Dissolution Cosmology (UMEDC): A Staged Framework for Cosmic Energy Transformation and Late-Time Acceleration
Abstract: The ΛCDM model successfully describes the universe’s expansion but remains fundamentally descriptive: it assigns fixed densities to matter, dark matter, and dark energy without providing a unifying physical mechanism behind their coexistence or evolution. In this work, we introduce the Unified Mass–Energy Dissolution Cosmology (UMEDC), a novel framework based on the staged transformation M → DM → DE, where ordinary matter gradually dissolves into a dark-matter-like reservoir, which subsequently transforms …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 18–34 Read article
-
Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
-
Treatment of Wastewater with Acid and Alkaline Modified Coconut Fiber Carbon
Abstract: The thrust of this study is to investigate the effect of acid and alkaline modified coconut fibre carbon for Liquified Natural Gas (LNG) waste water treatment. The Coconut fibre were obtained as an agrowaste material from Ahiankwo Market in Umuoyoro, Omuma L.G.A, Rivers State, Nigeria while the LNG waste water was sourced from Greenvile LNG plant in Rumuji, Emohua L.G.A, Rivers state, Nigeria. The coconut fiber was carbonized, chemically activated …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 3, 2022 · pp. 10–25 Read article
-
A Comparative Study of the Structure–Property Relationships in CAD/CAM Milled vs. 3D-Printed High-Performance Polymers: Impact of Molecular Orientation on Abrasive-Wear Resistance
Abstract: Background: The transition from subtractive to additive manufacturing in prosthetic dentistry has introduced significant variations in the macromolecular architecture of high-performance polymers. While CAD/CAM milling utilizes high-density, industrially polymerized blocks, 3D printing (Additive Manufacturing) relies on layer-by-layer deposition, which may induce anisotropic molecular orientation. This retrospective study investigates how these distinct manufacturing “thermal histories” influence the long-term abrasive-wear resistance of PEEK and PEKK restorations. Materials and Methods: Data were retrospectively …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 133–140 Read article
-
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article