Results 51 to 60 of about 701,968 (334)
Estimating direct rebound effects for personal automotive travel in Great Britain [PDF]
Direct rebound effects result from increased consumption of cheaper energy services. For example, more fuel-efficient cars encourage more car travel. This study is the first to quantify this effect for personal automotive travel in Great Britain.
Ajanovic+57 more
core +3 more sources
Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks [PDF]
The instability of power generation from national grids has led industries (e.g., telecommunication) to rely on plant generators to run their businesses. However, these secondary generators create additional challenges such as fuel leakages in and out of the system and perturbations in the fuel level gauges.
arxiv
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam+9 more
wiley +1 more source
Data-aware monitoring method for fuel economy in ship-based CPS
With the acceleration of economic globalisation and the rapid development of network communication technology, remote monitoring and the management of ship fuel consumption have received extensive attention.
Yiran Shi+3 more
doaj +1 more source
Optimizing Fuel Efficiency on an Islanded Microgrid under Varying Loads
Past studies of microgrids have been based on measurements of fuel consumption by generators under static loads. There is little information on the fuel efficiency of generators under time-varying loads.
Joo Won Lee+3 more
doaj +1 more source
The thermophilic acetogenic model organism Moorella thermoacetica can utilize lactate as substrate. The formation of lactate by reduction of pyruvate is energetically favorable, but the reverse reaction, the oxidation of lactate to pyruvate with NAD+ as electron acceptor is challenging.
Florian P. Rosenbaum, Volker Müller
wiley +1 more source
Interpretable Machine Learning Models for Predicting and Explaining Vehicle Fuel Consumption Anomalies [PDF]
Identifying anomalies in the fuel consumption of the vehicles of a fleet is a crucial aspect for optimizing consumption and reduce costs. However, this information alone is insufficient, since fleet operators need to know the causes behind anomalous fuel consumption.
arxiv
How Does Eco-Routing Affect Total System Emissions? City Network Predictions From User Equilibrium Models [PDF]
Transportation contributes a substantial fraction of all greenhouse gas emissions. One approach for reducing such emissions is to modify vehicles' route choices to minimize their fuel consumption or emission, which is known as eco-routing. Most eco-routing is based on vehicles choosing routes that minimize their individual fuel consumption or emissions.
arxiv
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein+44 more
wiley +1 more source