Results 11 to 20 of about 12,279 (225)
Cortical and Cytoskeletal Structural Network regulates the Three-Dimensional Traction Forces Exerted by Migrating Amoeboid Cells [PDF]
Cells exert traction forces, which are necessary to perform their migration. There is still a lack of information regarding the mechanical aspects of cell migration and in particular the quantification of the three-dimensional traction forces exerted during migration and invasion.We use a novel traction force cytometry method to measure the three ...
Alvarez-Gonzalez, Begona +5 more
openaire +1 more source
When calculating short circuit currents in the traction network, it is necessary to take into account the input resistance of the traction substation, including the resistance of the transformers of the substation and the resistance of the power supply ...
E. P. Figurnov +2 more
doaj +1 more source
REDUCTION OF ELECTRIC LOCOMOTIVE'S ENERGY CONSUMPTION BY SCALABLE TRACTIVE POWER CONTROL [PDF]
At the beginning of the paper, the analysis of energy efficiency indicators for freight electric locomotive with asynchronous traction drive feeding from AC network under various operating conditions including when working with trains of various masses ...
Andrey ANDRYUSHCHENKO +2 more
doaj +1 more source
High‐speed railway (HSR) presents the characteristics of a heavy load, large traction current, and ballastless track‐bed. As the 'neural network' of the signalling system, the line‐side signal cable may threaten both human safety and control information ...
Chang Liu +4 more
doaj +1 more source
Considering the fuel consumption and soil compaction, optimization of the performance of tractors is crucial for modern agricultural practices. The tractive performance is influenced by many factors, making it difficult to be modeled.
Katarzyna Pentoś +2 more
doaj +1 more source
Lumbar mechanical traction: a biomechanical assessment of change at the lumbar spine
Background Lumbar traction is a traditional treatment modality for chronic low back pain (CLBP) in many countries. However, its effectiveness has not been demonstrated in clinical practice because of the following: (1) the lack of in vivo biomechanical ...
Shigeru Tadano +5 more
doaj +1 more source
Continuous Control of an Underground Loader Using Deep Reinforcement Learning
The reinforcement learning control of an underground loader was investigated in a simulated environment by using a multi-agent deep neural network approach.
Sofi Backman +5 more
doaj +1 more source
Focal adhesions (FAs) and associated actin stress fibers (SFs) form a complex mechanical system that mediates bidirectional interactions between cells and their environment.
Lara Hauke +4 more
doaj +1 more source
Prediction of Specific Fuel Consumption of 60 HP 2WD Tractor Using Artificial Neural Networks
In this study, specific fuel consumption was determined at different axle load, tire pressure and drawbar force for a 60 HP tractor. In addition, the results were also estimated with the help of Artificial Neural Networks (ANN), which is one of the ...
Hanifi Küçüksarıyıldız +2 more
doaj +1 more source
With the traffic congestion problem deteriorating, people increasingly choose urban rail transit (URT) to travel. Although URT alleviates traffic congestion, the long-term operation of a large number of trains leads to huge energy consumption.
Luxi Dong +4 more
doaj +1 more source

