Results 141 to 150 of about 129,005 (263)
A decade of gender bias in machine translation. [PDF]
Savoldi B +3 more
europepmc +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Association Between Machine Translation Post-Editing and Post-Editors' Cognition: A Three-Level Meta-Analysis Based on Eye-Tracking Evidence. [PDF]
Wang F, Xie H, Zhang X.
europepmc +1 more source
Translating Akkadian to English with neural machine translation. [PDF]
Gutherz G +4 more
europepmc +1 more source
We introduce a new fabrication method that overcomes the current limitation of tubular gap electrospinning. We successfully fabricated a seamless hollow tube with fibers aligned along the longitudinal axis in diameters as small as 300 µm, and then reinforced it using 4‐axis 3D printing.
Seyed Aliakbar Hosseini Toopghara +9 more
wiley +1 more source
An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
Yao G, Fan L.
europepmc +1 more source
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco +7 more
wiley +1 more source
A multi-agent system based on HNC for domain-specific machine translation. [PDF]
Li M, Zhang K.
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Machine translation training data for English-Tshivenḓa. [PDF]
Gaustad T, McKellar CA, Puttkammer MJ.
europepmc +1 more source

