Results 211 to 220 of about 2,260,173 (353)

Language Production and Prediction in a Parallel Activation Model. [PDF]

Top Cogn Sci
Pickering MJ, Strijkers K.
europepmc   +1 more source

Precision of phonological errors in aphasia supports resource models of phonological working memory in language production. [PDF]

Cogn Neuropsychol, 2023
Black J, Nozari N.
europepmc   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Commonalities and Asymmetries in the Neurobiological Infrastructure for Language Production and Comprehension. [PDF]

Cereb Cortex, 2022
Giglio L, Ostarek M, Weber K, Hagoort P.
europepmc   +1 more source

The closer they are, the more they interfere: Semantic similarity of word distractors increases competition in language production.

, 2018
Sebastian Rose, Sabrina Aristei, Alissa Melinger, Rasha Abdel Rahman   +3 more
openalex   +2 more sources

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Four dimensions of naturalistic language production in aphasia after stroke. [PDF]

Brain
Casilio M, Kasdan AV, Bryan K, Shibata K, Schneck SM, Levy DF, Entrup JL, Onuscheck C, de Riesthal M, Wilson SM.   +9 more
europepmc   +1 more source

Natural language-driven production planning: integrating large language models with automatic simulation model generation in manufacturing systems [PDF]

Mohaiad Elbasheer, Yuanjun Laili, Francesco Longo, Vittorio Solina, Yiran Tao, Pierpaolo Veltri, Yuteng Zhang, Lin Zhang   +7 more
openalex   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Bilingual language control during single-language production: does relocation to a new linguistic environment change it? [PDF]

R Soc Open Sci
de Bruin A, Liu C, Trenkic D, Coumel M.
europepmc   +1 more source