Results 81 to 90 of about 248,965 (291)

Peptide‐Incorporated Biomaterials Promote Regeneration of Peripheral Nerve Injuries

Advanced Science, EarlyView.
Peptide‐incorporated biomaterials provide precise, tunable biological cues that mimic functional protein domains to regulate behaviors of neurons, Schwann cells, immune cells, and endothelial cells, thereby enhancing axon elongation, Schwann cell support, inflammatory microenvironment modulation, and vascularization, offering a promising alternative to
Zhiwei Zhao, Jianfeng Liu, Jincheng Li, Di Li, Jianxun Ding, Bin Liu   +5 more
wiley   +1 more source

A Conformal Wearable Ultrasound Bioelectronics for Mechanotherapy Reprogramming of Fibroblast Plasticity via Wnt‐FGF10 Axis to Overcome Fibrotic Healing in Urethral Regeneration

Advanced Science, EarlyView.
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, Xingxuan Zhang, Huan Zhang, Jun Wang, Fang Chen, Xiaojun Cai, Yichen Huang, Yuanyi Zheng   +7 more
wiley   +1 more source

Improved phrase-based SMT with syntactic reordering patterns learned from lattice scoring [PDF]

, 2010
In this paper, we present a novel approach to incorporate source-side syntactic reordering patterns into phrase-based SMT. The main contribution of this work is to use the lattice scoring approach to exploit and utilize reordering information that is ...
Du, Jinhua, Jiang, Jie, Way, Andy
core   +2 more sources

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback

, 2017
Machine translation is a natural candidate problem for reinforcement learning from human feedback: users provide quick, dirty ratings on candidate translations to guide a system to improve.
Boyd-Graber, Jordan, Daumé III, Hal, Nguyen, Khanh   +2 more
core   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
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, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
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, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Incorporating bilingual translation templates into neural machine translation

Scientific Reports
In the neural machine translation (NMT) paradigm, transformer-based NMT has achieved great progress in recent years. It uses parallel corpus and is based on the stand end-to-end structure.
Fuxue Li, Beibei Liu, Hong Yan, Peijun Xie, Jiarui Li, Zhen Zhang   +5 more
doaj   +1 more source

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018 [PDF]

, 2018
This paper describes FBK's submission to the end-to-end English-German speech translation task at IWSLT 2018. Our system relies on a state-of-the-art model based on LSTMs and CNNs, where the CNNs are used to reduce the temporal dimension of the audio ...
Cattoni, Roldano, Dessì, Roberto, Di Gangi, Mattia Antonino, Negri, Matteo, Turchi, Marco   +4 more
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

A PARALLEL CORPUS OF JAPANESE-RUSSIAN TRANSLATION OF A MANGA

Әл-Фараби Атындағы Қазақ Ұлттық Университеті хабаршы шығыстану сериясы
After the collapse of the Soviet Union, there was a strong influx of foreign culture into Russia. As part of the influx, Japanese manga entered the former Soviet Union, including Russia.
T. Ninomiya
doaj   +1 more source