Results 231 to 240 of about 131,513 (298)

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

A Qualified Multilingual Assessment for Medical Students: A Cohort Study. [PDF]

Cureus
Biswas N, Warner G, Naumowicz M, Hannibal KE, Kasper J, Katz J, Molina RL.   +6 more
europepmc   +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

Direction matters: Comparing post-editing and human translation effort and quality. [PDF]

PLoS One
Sun S, Wang H, Jia Y.
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

Exploring the role of standards-based descriptors in promoting translation learners' metacognitive strategy use and translation performance. [PDF]

Front Psychol
Mei H, Chen Y.
europepmc   +1 more source

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

Advanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter, Luke Gatecliff, Xudong Tao, Ruben Ruiz‐Mateos Serrano, Amy T. Jin, Matias L. Picchio, Daniele Mantione, Antonio Dominguez‐Alfaro, George G. Malliaras   +8 more
wiley   +1 more source

Evaluation of the accuracy and safety of machine translation of patient-specific discharge instructions: a comparative analysis. [PDF]

BMJ Qual Saf
Kong M, Fernandez A, Bains J, Milisavljevic A, Brooks KC, Shanmugam A, Avilez L, Li J, Honcharov V, Yang A, Khoong EC.   +10 more
europepmc   +1 more source

The experiences of midwives with violence from patients, their relatives and friends: A study in perinatal center in Lithuania. [PDF]

Eur J Midwifery
Mikėnaitė M, Barakat M, Petrošienė B, Kliučinskas M, Bartusevičius A, Liepinaitienė A, Bartusevičienė E.   +6 more
europepmc   +1 more source

ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer. [PDF]

NPJ Digit Med
Tian Y, Zhou M, Chen Y, Li F, Qi L, Wang S, Xu X, Yu Y, Xu S, Lei C, Jiang Y, Zhang R, Tan J, Wu L, Chen H, Liu X, Lu W, Li L, Zhou H, Song X, Zhai G, Fan X.   +21 more
europepmc   +1 more source