Results 151 to 160 of about 4,452,749 (365)
Evaluation of synaptotagmin‐1 action models by all‐atom molecular dynamics simulations
FEBS Open Bio, EarlyView.We used molecular dynamics simulations to test models proposing that synaptotagmin‐1 facilitates membrane fusion by perturbing lipid bilayers, inducing membrane curvature and/or bridging membranes. The simulations show that synaptotagmin‐1 C2‐domains placed near the site of fusion hinder the ability of SNARE complexes to bring the membranes together ...
Josep Rizo +2 more
wiley +1 more source
Generative Neural Machine Translation [PDF]
, 2018 We introduce Generative Neural Machine Translation (GNMT), a latent variable architecture which is designed to model the semantics of the source and target sentences.
Barber, David, Shah, Harshil
core +1 more source
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Dual-channel deep graph convolutional neural networks
Frontiers in Artificial IntelligenceThe dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of various subsequent machine learning tasks.
Zhonglin Ye +15 more
doaj +1 more source
A retrospective view on the promise on machine translation for Bahasa Melayu-English [PDF]
, 2010 Research and development activities for machine translation systems from English language to others are more progressive than vice versa. It has been more than 30 years since the machine translation was introduced and yet a Malay language or Bahasa ...
Jamaludin, Zulikha +2 more
core
Six Challenges for Neural Machine Translation [PDF]
arXiv, 2017 We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.
arxiv
FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
wiley +1 more source
Study on the comprehensive evaluation method of machine translation quality
MATEC Web of Conferences, 2018 The accurate evaluation of machine translation quality is the main basis of machine translation systems research and development. Based on the analysis of three translation quality assessment factors, i.e.
Yiqun Sun
doaj +1 more source
Findings of the 2019 Conference on Machine Translation (WMT19) [PDF]
, 2019 This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of ...
Barrault, Loïc +5 more
core
, 2013 Machine translation (MT) is - not only historically - a prime application of language technology. After years of seeming stagnation, the price pressure on language service providers (LSPs) and the increased translation need have led to new momentum for the inclusion of MT in industrial translation workflows.
Hans Uszkoreit +3 more
openaire +3 more sources