Results 171 to 180 of about 725,128 (304)

Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. [PDF]

Mod Pathol
Saha M, Tran TV, Bhawsar PM, Zhang T, Zhao W, Hoang PH, Mutreja K, Lawrence SM, Rothman N, Lan Q, Homer R, Baine MK, Sholl LM, Joubert P, Leduc C, Travis WD, Chanock SJ, Shi J, Yang SR, Almeida JS, Landi MT.   +20 more
europepmc   +1 more source

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

Advanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt, Jens Timmer, Elisabetta Ada Cavalcanti‐Adam   +2 more
wiley   +1 more source

An efficient remote driving shift control method of unmanned heavy tracked vehicles based on manned data mining. [PDF]

Sci Rep
Jia W, Zhao Y, Zheng H, Hu P, Gao Y.
europepmc   +1 more source

EEOC v. PJAX, Inc. (JFM-03-cv-01535) [PDF]

, 2003
Motz, Judge J. Frederick
core   +1 more source

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

Advanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons, Rhys J. Bourhill, Ewan McQueen, Sam D. Harding, Krzysztof Pawlak, Thomas Fellowes, Harry W. Capps, Alexander J. Cowan, Andrew I. Cooper, Adrian M. Gardner, Martijn A. Zwijnenburg, Reiner Sebastian Sprick   +11 more
wiley   +1 more source

A multimodal framework for comprehensive driver variant prediction in cancer. [PDF]

Commun Med (Lond)
Yang H, Chen Y, Zhou T, Wang Y, Zhou Q, Xiao T, Zhang Q, Zhang J, Li D, Wang Z.   +9 more
europepmc   +1 more source

Equal Employment Opportunity Commission, Plaintiff, v. PJAX, Inc., Defendant. [PDF]

, 2003
Motz, Judge J. Federick
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Research on engine power-loss fault diagnosis method based on time-series data mining. [PDF]

Sci Rep
Feng L, Liu L, Xu H, Gao S, Tang H, Cui J, Zhang B, Rao Y.   +7 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source