Results 81 to 90 of about 419,717 (299)

Rab14 regulates the transport of human papillomavirus to the trans‐Golgi network for infectious cell entry

FEBS Letters, EarlyView.
This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley   +1 more source

Approach for remaining useful life prediction for mechanical equipment based on similarity

, 2016
In view of problem that remaining useful life of complex machinical equipment was difficult to predict, an approach for remaining useful life prediction based on similarity was presented.
YANG Jiankang, WU Bin, LI Hongwei, QU Bingni, LI Lu, SONG Jiancheng   +5 more
core   +1 more source

Remaining Useful Life Prediction Based on Deep Learning: A Survey

Sensors
Remaining useful life (RUL) is a metric of health state for essential equipment. It plays a significant role in health management. However, RUL is often random and unknown.
Fuhui Wu, Qingbo Wu, Yusong Tan, Xinghua Xu   +3 more
doaj   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

INVESTIGATION OF REMAINING USEFUL LIFE OF GAS TURBINE BLADE [PDF]

, 2015
The aim of this research is to investigate the remaining useful life of gas turbine blade. This investigation was done by predicting the turbine blades service life using Stress Rupture Test (SRT) under accelerated test conditions where the applied ...
Osman, Muhammad Hafizuddin
core  

Reliability Prediction of TFT-LCD Modules in Harsh Environments Using Physics-Guided Machine Learning

Photonics
Accurate Remaining Useful Life (RUL) prediction of TFT-LCD modules is critical for industrial predictive maintenance, yet it remains heavily challenged by complex degradation mechanisms in different climates.
Rui Zhou, Han Li, Xiaoqin Wei, Haitao Zhu, Xu Zhou, Xiaojie Li, Rihui Yao, Wei Xu, Honglong Ning, Junbiao Peng   +9 more
doaj   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Attentive Bidirectional Long Short-Term Memory Model to Predict the Remaining Useful Life of Aircraft Engines

Accurate Remaining Useful Life (RUL) prediction for turbofan engines remains a challenging issue for the aviation industry due to operational condition variability, sensor noise, and the relatively complex degradation patterns of turbofans.
Deo, Ravinesh C., Seixas Leal, Andreia, Ali, Mumtaz, Prasad, Salvin Sanjesh, Berton, Lilian, De Castro Santos, Luis Carlos   +5 more
core   +1 more source

Differentially Private Federated Learning for Remaining Useful Life Prediction

Applied Sciences
Accurate remaining useful life (RUL) prediction is essential for the safe and cost-effective operation of safety-critical systems such as electronic components and engines.
Arturs Nikulins, Kārlis Freivalds, Ivars Namatēvs, Kaspars Sudars, Audris Arzovs, Wilhelm Söderkvist Vermelin, Madhav Mishra, Kaspars Ozols   +7 more
doaj   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source