Results 201 to 210 of about 793,861 (307)

The Impact of Lower Degree Automation Reliability on Higher Degree Automation Failure Detection in Simulated Air Traffic Control. [PDF]

Hum Factors
Bowden VK, Gegoff I, Kilpatrick PJ, Loft S.   +3 more
europepmc   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement. [PDF]

Sci Rep
Raju SK, Periyasamy M, Alhussan AA, Kannan S, Raghavendran S, El-Kenawy EM.   +5 more
europepmc   +1 more source

Improving Accuracy of Heart Failure Detection Using Data Refinement. [PDF]

Entropy (Basel), 2020
Xiong J, Liang X, Zhao L, Lo B, Li J, Liu C.   +5 more
europepmc   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

FEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin, Naghme Radmannia, David N. Huynh, Liliane Ménard, Caroline Daneault, Maïté Veilleux, Ahsanullah Ahsanullah, André C. Carpentier, William D. Lubell, Matthieu Ruiz, Huy Ong, Sylvie Marleau, Simon‐Pierre Gravel   +12 more
wiley   +1 more source

Automated ventricular segmentation and shunt failure detection using convolutional neural networks. [PDF]

Sci Rep
Huang KT, McNulty J, Hussein H, Klinger N, Chua MMJ, Ng PR, Chalif J, Mehta NH, Arnaout O.   +8 more
europepmc   +1 more source

Hydrostatic pressure activates HIF‐1α via β‐catenin to promote stemness in breast cancer cells

FEBS Open Bio, EarlyView.
To mimic the elevated intestinal fluid pressure in breast cancers, we loaded human breast cancer cells (MCF‐7, MDA‐MB‐453, and BT‐474) to 50 mmHg hydrostatic pressure. Hydrostatic pressure exposure upregulated HIF‐1α and induced stemness in MCF‐7 and BT‐474 cells.
Da Zhai, Yong Xu, Jingjing Ma, Ratchanee Duangrat, Chen Yan, Jingyan Liang, Hua Wei, Bin Jiang, Tao‐Sheng Li   +8 more
wiley   +1 more source

Development of a Real-time Force-based Algorithm for Infusion Failure Detection. [PDF]

J Diabetes Sci Technol
Blanco LE, Wilcox JH, Hughes MS, Lal RA.
europepmc   +1 more source

Protocol Failure Detection: The Conflation of Acute Respiratory Distress Syndrome, SARS-CoV-2 Pneumonia and Respiratory Dysfunction.

J Emerg Trauma Shock, 2021
Lynn LA, Wheeler E, Woda R, Levitov AB, Stawicki SP, Bahner DP.   +5 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source