Results 241 to 250 of about 4,220,052 (297)

Machine translation: Turkish-English bilingual speakers' accuracy detection of evidentiality and preference of MT. [PDF]

Cogn Res Princ Implic
Tosun S.
europepmc   +1 more source

Fatigue‐Resistant Mechanoresponsive Color‐Changing Hydrogels for Vision‐Based Tactile Robots

Advanced Materials, EarlyView.
Mechanoresponsive color‐changing materials that can reversibly and resiliently change color in response to stress are highly desirable for diverse technologies in optics, sensors, and robots; however, such materials are rarely achieved. This work reports a fatigue‐resistant mechanoresponsive color‐changing hydrogel that exhibits reversible, resilient ...
Jiabin Liu, Wei Li, Yu She, Sean Blanchard, Shaoting Lin   +4 more
wiley   +1 more source

Using Machine Translation and Post-Editing in the TRAPD Approach: Effects on the Quality of Translated Survey Texts. [PDF]

Public Opin Q
Zavala-Rojas D, Behr D, Dorer B, Sorato D, Keck V.   +4 more
europepmc   +1 more source

Multifunctional Neural Probes Enable Bidirectional Electrical, Optical, and Chemical Recording and Stimulation In Vivo

Advanced Materials, EarlyView.
Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll, Marc‐Joseph Antonini, Taylor M. Cannon, Pema Maretich, Greatness Olaitan, Valerie Doan Phi Van, Keisuke Nagao, Atharva Sahasrabudhe, Emmanuel Vargas Paniagua, Ethan J. Frey, Ye Ji Kim, Sydney Hunt, Melissa Hummel, Sanju Mupparaju, Alan Jasanoff, B. Jill Venton, Polina Anikeeva   +16 more
wiley   +1 more source

A neural machine translation method based on split graph convolutional self-attention encoding. [PDF]

PeerJ Comput Sci
Wan F, Li P.
europepmc   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Using Voice-to-Voice Machine Translation to Overcome Language Barriers in Clinical Communication: An Exploratory Study. [PDF]

J Gen Intern Med
Hudelson P, Chappuis F.
europepmc   +1 more source

Advancing Metal–Organic Framework‐Based Composites for Effective Chemical Warfare Agent Detoxification under Real‐World Conditions

Advanced Materials, EarlyView.
This review describes recent developments in the design and synthesis of metal–organic frameworks (MOF)/textile composites for the detoxification of chemical warfare agent and simulants with extensive discussion on the advantages and disadvantages of different methods.
Zhihua Cheng, Kira M. Fahy, Gregory W. Peterson, Kent O. Kirlikovali, Omar K. Farha   +4 more
wiley   +1 more source

Adsorption and Separation by Flexible MOFs

Advanced Materials, EarlyView.
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska, Volodymyr Bon, Antonia Mosberger, Yutong Wang, Stefan Kaskel   +4 more
wiley   +1 more source