Results 81 to 90 of about 6,921,546 (301)

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Exploring nonlinear relationships between speech face motion and tongue movements using Mutual Information

open access: yes, 2014
In the current study, we used Mutual Information (MI) to determine the amount of shared information between face motion and tongue movements during speech.
Best, Catherine T. (R11322)   +2 more
core  

A Formant Modification Method for Improved ASR of Children’s Speech

open access: yes, 2022
Differences in acoustic characteristics between children’s and adults’ speech degrade performance of automatic speech recognition systems when systems trained using adults’ speech are used to recognize children’s speech.
Alku, Paavo   +3 more
core   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

open access: yesMolecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang   +9 more
wiley   +1 more source

A comparison of two procedures for verbal response time fractionation

open access: yesFrontiers in Psychology, 2014
To describe the mental architecture between stimulus and response, cognitive models often divide the stimulus-response (SR) interval into stages or modules.
Lotje evan der Linden   +5 more
doaj   +1 more source

In-quiet and Lombard audiovisual speech

open access: yes, 2006
This experiment examined whether the visual speech enhancement in the intelligibility of degraded acoustic speech is greater when the speech signals were recorded in noise compared to when they were recorded in quiet.
Kim, Jeesun   +2 more
core  

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography

open access: yesFrontiers in Human Neuroscience
IntroductionArticulography and functional neuroimaging are two major tools for studying the neurobiology of speech production. Until now, however, it has generally not been feasible to use both in the same experimental setup because of technical ...
Ioanna Anastasopoulou   +4 more
doaj   +1 more source

Picture-induced semantic interference reflects lexical competition during object naming

open access: yesFrontiers in Psychology, 2012
With a picture-picture experiment we contrasted competitive and non-competitive models of lexical selection during language production. Participants produced novel noun-noun compounds in response to two separately displayed categorically related or ...
Sabrina eAristei   +2 more
doaj   +1 more source

End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework

open access: yes, 2019
Speech coding is the most commonly used application of speech processing. Accumulated layers of improvements have however made codecs so complex that optimization of individual modules becomes increasingly difficult. This work introduces machine learning
Bäckström, Tom, Tom Bäckström
core   +1 more source

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