Results 111 to 120 of about 35,187 (315)

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Bearing Fault Diagnosis Based on Vibration Envelope Spectral Characteristics

Applied Sciences
Deep learning methods based on neural network models have been widely applied to bearing fault classification. Although they can achieve high accuracy, they also come with significant complexity.
Yang Chen, Qifu Chen, Rui Wang
doaj   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method

Scientific Reports
To address the limitations of conventional feature extraction methods in capturing fault information from operational current signals, the paper proposes a novel fault diagnosis method for permanent magnet synchronous motor (PMSM).
Yinquan Yu, Hongping Ge, Giuseppe Carbone, Dequan Zeng, Yiming Hu, Jinwen Yang   +5 more
doaj   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Fault Classification of Reciprocating Compressor Based on Neural Networks and Support Vector Machines

Reciprocating compressors play a major part in many industrial systems and faults occurring in them can degrade performance, consume additional energy, cause severe damage to the machine and possibly even system shut-down.
Gu, Fengshou, Ball, Andrew, Ahmed, Mahmud, Abdusslam, S.A., Baqqar, Mabrouka   +4 more
core  

Fracture characteristics from two reactivated basement fault zones: examples from Norway and Shetland [PDF]

, 2001
Detailed analyses of fracture attributes developed in basement rocks associated with two, crustal-scale faults, have enabled the characteristics and evolution of the fracture system geometry to be documented quantitatively.
Sleight, Janine Michelle
core  

A data enlargement strategy for fault classification through a convolutional auto-encoder

MATEC Web of Conferences, 2019
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui, Kesheng Wang, Yu Li, Binyuan Yang, Qiang miao   +4 more
doaj   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Fault Detection and Classification in MMC-HVDC Systems using Learning Methods

, 2020
In this paper we explore learning methods to improve the performance of the open16 circuit fault diagnosis of modular multilevel converters (MMCs). Two deep learning methods, namely, Convolutional Neural Networks (CNN) and Auto Encoder based Deep Neural ...
Darwish, M, Nandi, A, Nandi, AK, Hosameldin O. A. Ahmed, Yu, Y, Mohamed Darwish, Asoke K. Nandi, Ahmed, HOA, Wang, Q, Yuexiao Yu, Qinghua Wang   +10 more
core   +1 more source