Results 61 to 70 of about 22,916 (261)
Fibrotic scarring persistently challenges urethral reconstruction. This study introduces a conformal, wearable ultrasound bioelectronic system that overcomes this by reprogramming fibroblast fate. The device activates a developmental Wnt–FGF10 axis, driving fibroblasts toward a regenerative FGF10+ phenotype that promotes angiogenesis and matrix ...
Mingming Yu +7 more
wiley +1 more source
Corpus-based studies in conference interpreting
Corpus-based interpreting studies (CIS) are a relatively recent “[…] Off-shoot of Corpus-based Translation Studies” to quote the seminal paper (1998) by the late Miriam Shlesinger, a constant source of inspiration for the T&I community.
Russo M.
doaj +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
From Regularities to Norms in the Secondary Formation of Romanian ICT Terms
Starting from a parallel corpus of general use texts, this article investigates what kind of regularities are discernible in the formation of the terms used in the Romanian language of information and communication technology (ICT).
Sorina Postolea
doaj +1 more source
Corpus-based study of news translation: challenges and possibilities
Recognizing that disciplinary confines often represent serious hurdles for translation scholars, this article offers a reflection on the boundaries of the subarea of news translation within the discipline of translation studies, focusing on its links with research that employs corpus-aided techniques, in particular critical discourse analysis and ...
Maria Cristina Caimotto +1 more
openaire +3 more sources
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Le corpus multilingue InterCorp : nouveaux paradigmes de recherche en linguistique contrastive et en traductologie [PDF]
Linguistic corpora have changed the research paradigm in many linguistic disciplines, allowing researchers to exploit large data based on real occurrences in authentic contexts.
Olga Nádvorníková
doaj

