Modeling and experimental evaluation of marotti oil biodiesel blends in a diesel engine using response surface methodology and artificial neural networks. [PDF]
Isaac JoshuaRamesh Lalvani J +2 more
europepmc +1 more source
Resource redeployment as an entry advantage in resource‐poor settings
Abstract Research Summary Scarcity of productive factors poses a challenge for firms entering underdeveloped regions. We theorize that incumbent firms can overcome scarcity of skilled human capital in local labor markets by redeploying workers from existing units.
Jasmina Chauvin +2 more
wiley +1 more source
Draft genome sequence of a resistant diesel fuel degrader <i>Rhodococcus ruber</i> IEGM 442. [PDF]
Komarova L +3 more
europepmc +1 more source
The article explores how high‐strength steels and press hardening revolutionize lightweight chassis design for heavy‐duty vehicles. It reveals that press hardened steels combined with shot peening can cut weight by up to 34% and reduce environmental impact by 21%–32%.
Violeta Vargas‐Parra +7 more
wiley +1 more source
Prior-Knowledge-Guided Graph Attention Network for Fault Diagnosis of Engine Valve Clearance. [PDF]
Li M, Wen J, Yang X, Hu Y, Li X, Shi Z.
europepmc +1 more source
Renewable Energy‐Driven Green Electricity Supplement for Empowering Blue Economy
In order to support the blue economy to expand to the distant sea, this work proposes the framework driven by renewable energy. It integrates flexible perovskite solar cells, triboelectric nanogenerator‐supercapacitors, grid‐forming control strategies, and AI‐driven digital engines.
Ruibo Fan +5 more
wiley +1 more source
Integrating RSM and NSGA-III for Multiobjective Optimization of a Diesel/Methanol Dual-Fuel Engine Performance and Emissions. [PDF]
Huang F, Wang H, Wan M, Lei J.
europepmc +1 more source
ABSTRACT Over the past decades, the growth in human population and economic activities has led to an increase in maritime traffic. This rise puts additional pressure on marine environments, vessel fuel spills being considered to have a major impact on the ecosystem.
Carlos Valiente‐Diaz +2 more
wiley +1 more source
Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES. [PDF]
Wang Y +8 more
europepmc +1 more source

