Results 71 to 80 of about 18,884,699 (343)

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

open access: yesFEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

How Much Voicing in Voiced Geminates? The Laryngeal Voicing Profile of Polish Double Stops

open access: yesArchives of Acoustics
Geminates (such as the double /k/ in Polish lekki “light”) form a group of consonants that are mainly characterized by longer durations than the corresponding singletons.
Arkadiusz ROJCZYK, Andrzej PORZUCZEK
doaj   +1 more source

Associating the origin and spread of sound change using agent-based modelling applied to /s/-retraction in English

open access: yesGlossa, 2019
The study explored whether an asymmetric phonetic overlap between speech sounds could be turned into sound change through propagation around a community of speakers. The focus was on the change of /s/ to /ʃ/ which is known to be more likely than a change
Florian Schiel   +2 more
doaj   +2 more sources

Statins induce monocytic differentiation in acute myeloid leukemia cells through the KLF4/DPYSL2A axis

open access: yesFEBS Open Bio, EarlyView.
Statins, identified via the Comparative Toxicogenomics Database, promote monocytic differentiation and apoptosis in non‐APL AML cells by upregulating DPYSL2A through a KLF4‐dependent pathway. Mevalonate supplementation reversed these effects, indicating involvement of the mevalonate pathway.
Mina Noura   +7 more
wiley   +1 more source

MASS: Microphone Array Speech Simulator in Room Acoustic Environment for Multi-Channel Speech Coding and Enhancement

open access: yesApplied Sciences, 2020
Multi-channel speech coding and enhancement is an indispensable technology in speech communication. In order to verify the effectiveness of multi-channel speech coding and enhancement methods in the research and development, a microphone array speech ...
Rui Cheng, Changchun Bao, Zihao Cui
doaj   +1 more source

Articulating: the neural mechanisms of speech production [PDF]

open access: yes, 2019
Speech production is a highly complex sensorimotor task involving tightly coordinated processing across large expanses of the cerebral cortex. Historically, the study of the neural underpinnings of speech suffered from the lack of an animal model.
Guenther, Frank H., Kearney, Elaine
core   +1 more source

A Survey on Hate Speech Detection using Natural Language Processing

open access: yesSocialNLP@EACL, 2017
This paper presents a survey on hate speech detection. Given the steadily growing body of social media content, the amount of online hate speech is also increasing.
Anna Schmidt, Michael Wiegand
semanticscholar   +1 more source

Transcriptional regulation of neuropeptide receptors underlies context‐dependent adaptation in Drosophila melanogaster

open access: yesFEBS Open Bio, EarlyView.
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu   +6 more
wiley   +1 more source

Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates [PDF]

open access: yes, 2019
This work addresses the problem of block-online processing for multi-channel speech enhancement. Such processing is vital in scenarios with moving speakers and/or when very short utterances are processed, e.g., in voice assistant scenarios.
Bohac, Marek   +2 more
core   +3 more sources

Efficient Processing of Deep Neural Networks: A Tutorial and Survey [PDF]

open access: yesProceedings of the IEEE, 2017
Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics.
V. Sze   +3 more
semanticscholar   +1 more source

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