Results 91 to 100 of about 5,856,489 (275)

Tryptophan metabolite atlas uncovers organ, age, and sex‐specific variations

open access: yesFEBS Open Bio, EarlyView.
Tryptophan metabolites were analyzed across twelve organs, the central nervous system, and serum in male and female mice at three life stages. We found tissue‐, sex‐, and age‐specific differences, including increased indole‐3‐pyruvate and kynurenine in aging males.
Lizbeth Perez‐Castro   +8 more
wiley   +1 more source

DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation

open access: yes, 2018
There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language ...
Chai Xiujuan   +5 more
core   +1 more source

Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison [PDF]

open access: yesIEEE Workshop/Winter Conference on Applications of Computer Vision, 2019
Vision-based sign language recognition aims at helping the deaf people to communicate with others. However, most existing sign language datasets are limited to a small number of words.
Dongxu Li   +3 more
semanticscholar   +1 more source

Diabetes‐induced vascular calcification is associated with low pyrophosphate and its oral supplementation prevents calcification in diabetic mice

open access: yesFEBS Open Bio, EarlyView.
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp   +13 more
wiley   +1 more source

Combining data-driven MT systems for improved sign language translation [PDF]

open access: yes, 2007
In this paper, we investigate the feasibility of combining two data-driven machine translation (MT) systems for the translation of sign languages (SLs).
Bungeroth, Jan   +4 more
core  

NOTCH2NLC Repeat Expansions in Parkinsonian Disorders: Clinical and Neuroimaging Characteristics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuronal intranuclear inclusion disease (NIID) is a neurodegenerative disorder caused by NOTCH2NLC GGC repeat expansions, with heterogeneous clinical manifestations, including parkinsonism. Recent studies have identified NOTCH2NLC repeat expansions in patients with Parkinson's disease (PD) and atypical parkinsonism (aPM), suggesting ...
Han‐Lin Chiang   +7 more
wiley   +1 more source

Visual prosody in Korean Sign Language: (non)manual cues for boundary and prominence

open access: yesFrontiers in Psychology
IntroductionThis study examines how manual and nonmanual features contribute to prosodic marking in Korean Sign Language (KSL), particularly for prominence and Accentual Phrase (AP) boundaries.
Jungah Lee   +3 more
doaj   +1 more source

Iconicity in Signed and Spoken Vocabulary: A Comparison Between American Sign Language, British Sign Language, English, and Spanish

open access: yesFrontiers in Psychology, 2018
Considerable evidence now shows that all languages, signed and spoken, exhibit a significant amount of iconicity. We examined how the visual-gestural modality of signed languages facilitates iconicity for different kinds of lexical meanings compared to ...
Marcus Perlman   +3 more
doaj   +1 more source

A new framework for sign language recognition based on 3D handshape identification and linguistic modeling [PDF]

open access: yes, 2014
Current approaches to sign recognition by computer generally have at least some of the following limitations: they rely on laboratory conditions for sign production, are limited to a small vocabulary, rely on 2D modeling (and therefore cannot deal with ...
Dilsizian, Mark   +4 more
core  

Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks

open access: yesInternational Journal of Computer Vision, 2020
We present a novel approach to automatic Sign Language Production using recent developments in Neural Machine Translation (NMT), Generative Adversarial Networks, and motion generation.
Stephanie Stoll   +3 more
semanticscholar   +1 more source

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