Results 131 to 140 of about 281,980 (313)

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

Advanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu, Haksoon Jung, Yongwoo Lee, Hoichang Jeong, Yanfeng Zhao, Heesoo Yang, Minho Park, Hyeonjin Lee, Seunghun Baek, Minju Song, Junghwan Kim, Youngmin Jo, Hyunjin Park, Munhyeon Kim, Jae‐Joon Kim, Kyuho Jason Lee, Byungjo Kim, Jimin Kwon   +17 more
wiley   +1 more source

The UPF learner translation corpus as a resource for translator training

Language Resources and Evaluation, 2013
The learner translation corpus developed at the School of Translation and Interpreting of Pompeu Fabra University in Barcelona is a web-searchable resource created for pedagogical and research purposes. It comprises a multiple translation corpus (English–Catalan) featuring automatic linguistic annotation and manual error annotation, complemented with ...
openaire   +2 more sources

Parallel Treebanks in Phrase-Based Statistical Machine Translation [PDF]

, 2009
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the incorporation of syntax is the way forward for the current state-of-the-art in machine translation (MT).
Tinsley, John, Hearne, Mary, Way, Andy
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Applicability and Challenges of Using Machine Translation in Translator Training

ELOPE: English Language Overseas Perspectives and Enquiries, 2011
During the last decade, translation as well as translator training have experienced a significant change. This change has been significantly influenced by the development of the Internet and the successive availability of web-based translation resources, such as Google Translate.
openaire   +4 more sources

Quantitative analysis of translation revision : contrastive corpus research on native English and Chinese translationese [PDF]

, 2008
Demand for Chinese-to-English translation has increased over recent years. In contrast, resources for training translators for Chinese-to-English are few although increasing now, relative to English-to-Chinese for example. Corpus-based techniques are now
Yuan, Q., Rayson, P., Xu, X,, Xiao, J., Wong, A.   +4 more
core  

Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats

Advanced Functional Materials, EarlyView.
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang, Ilya Pyatnitskiy, Yanshu Shi, Kai Wing Kevin Tang, Yi Xie, Sihan Yu, Thomas Wynn, Xiangping Liu, Ju‐Chun Hsieh, Jinmo Jeong, Weilong He, Brinkley Artman, Anakaren Romero Lozano, Xi Shi, Arjun Sangani, Lief E Fenno, Samantha Santacruz, Banglin Chen, Huiliang Wang   +18 more
wiley   +1 more source

Analysis of Chinese Machine Translation Training Based on Deep Learning Technology.

Comput Intell Neurosci, 2022
Sun Y.
europepmc   +1 more source

Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse

Advanced Functional Materials, EarlyView.
Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee, Jinbo Kim, Myeongjin An, Jisoo Park, Junho Sung, Eunsung Hwang, Suhwan Seok, Seong‐Min Bak, Jeonghun Kim, Eunho Lee   +9 more
wiley   +1 more source

The impact of an industry-driven translation training program on the performance of trainee translators

Cogent Arts & Humanities
This study reports on a quasi-experimental study on the effect of an industry-driven online translation training program on the translator trainees’ performance across five indicators: language, accuracy, terminology, style and clarity.
Buthainah M. Al Thowaini, Mutahar Qassem
doaj   +1 more source