Results 61 to 70 of about 11,306 (258)

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Spoken-Word Recognition: The Access to Embedded Words

open access: yesBrain and Language, 1999
Two cross-modal priming experiments investigated whether the representation of either an initial- or a final-embedded word may be activated when the longer carrier word is auditorily presented. Visual targets were semantically related either to the embedded word or to the carrier word or they were unrelated to the primes. A priming effect was found for
Isel, F., Bacri, N.
openaire   +3 more sources

A Joint Model for Word Embedding and Word Morphology [PDF]

open access: yesProceedings of the 1st Workshop on Representation Learning for NLP, 2016
This paper presents a joint model for performing unsupervised morphological analysis on words, and learning a character-level composition function from morphemes to word embeddings. Our model splits individual words into segments, and weights each segment according to its ability to predict context words.
Rei, Marek, Cao, Kris
openaire   +3 more sources

Electron transfer between complexes III and IV in S. cerevisiae mitochondrial membranes

open access: yesFEBS Letters, EarlyView.
Mitochondrial oxidative phosphorylation in S. cerevisiae mitoplasts is limited by complex IV catalytic capacity, rather than two‐dimensional cytochrome c diffusion. At physiological cytochrome c : supercomplex ratios at salinity equivalent to that of 20 mm monovalent salt, activity is maximized, indicating that this low ionic strength accurately mimics
Ana Paula Lobez   +2 more
wiley   +1 more source

Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study

open access: yesJournal of Medical Internet Research, 2020
BackgroundWord embeddings are dense numeric vectors used to represent language in neural networks. Until recently, there had been no publicly released embeddings trained on clinical data.
Abdalla, Mohamed   +3 more
doaj   +1 more source

Learning Bilingual Word Embedding Mappings with Similar Words in Related Languages Using GAN

open access: yesApplied Artificial Intelligence, 2022
Cross-lingual word embeddings display words from different languages in the same vector space. They provide reasoning about semantics, compare the meaning of words across languages and word meaning in multilingual contexts, necessary to bilingual lexicon
Ghafour Alipour   +2 more
doaj   +1 more source

Efficient Estimate of Low-Frequency Words’ Embeddings Based on the Dictionary: A Case Study on Chinese

open access: yesApplied Sciences, 2021
Obtaining high-quality embeddings of out-of-vocabularies (OOVs) and low-frequency words is a challenge in natural language processing (NLP). To efficiently estimate the embeddings of OOVs and low-frequency words, we propose a new method that uses the ...
Xianwen Liao   +5 more
doaj   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Profound Leadership Strategies: Transcending the Leadership Crisis in the Age of Artificial Intelligence

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley   +1 more source

Comparative analysis of contextual and context-free embeddings in disaster prediction from Twitter data

open access: yesMachine Learning with Applications, 2022
Twitter is a social media site where people post their personal experiences, opinions, and news. Due to the ubiquitous real-time data availability, many rescue agencies monitor this data regularly to identify disasters, reduce risk, and save lives ...
Sumona Deb, Ashis Kumar Chanda
doaj   +1 more source

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