Results 101 to 110 of about 5,225,289 (326)

The Birth Process and Voice Training: The Glorious Chorus

open access: yes, 2018
This study is a qualitative pilot inquiry that explores the relationship between voice methods for performance and childbirth. The authors are trained actors, and during their labor processes, they each found themselves relying on the vocal work they had
Kris Danford, Jenny Mercein
semanticscholar   +1 more source

Humanized and Charge‐Optimized CSPG4‐Specific CAR‐T Cells show Enhanced Efficacy against Head and Neck Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
CSPG4 is identified as a high‐value, stemness‐associated target in HPV‐negative HNSCC. By implementing rational biophysical engineering, a humanized and charge‐optimized CAR is developed to overcome tonic signaling‐induced exhaustion. This strategy induces a profound transcriptomic shift toward a rejuvenated, stem‐like memory state, significantly ...
Xiang Xu   +13 more
wiley   +1 more source

Intervenções vocais diretas e indiretas em professores: revisão sistemática da literatura

open access: yesAudiology: Communication Research
OBJETIVO: Verificar a eficácia das intervenções vocais diretas e indiretas, de forma isolada e combinada, na prevenção de distúrbios vocais em professores, por meio de revisão sistemática da literatura.
Tanise Cristaldo Anhaia   +3 more
doaj  

Spectrographic analysis of the effect of vocal warm-up on the voice of choir girls

open access: yesAudiology: Communication Research, 2014
Purpose To analyse the immediate effect of a vocal warm-up program on children that sang in a choir by means of spectrographic analysis. Methods Experimental study consisting of 14 girls from an amateur children’s choir, aged 9 to 12 years.
Lília Maria Gomes Falcão   +3 more
doaj   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

open access: yesAdvanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Speech-dependent data augmentation for own voice reconstruction with hearable microphones in noisy environments

open access: yesEURASIP Journal on Audio, Speech, and Music Processing
Hearable devices, equipped with one or more microphones, can be used to capture the user’s own voice in noisy environments. In such environments, an own voice reconstruction (OVR) system is needed to enhance the quality and intelligibility of the ...
Mattes Ohlenbusch   +2 more
doaj   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

"King archie, who was quite grouchy" - a vocal dysphonia health education project O rei Sebastião que era muito resmungão

open access: yesRevista CEFAC, 2012
PURPOSE: one major cause of dysphonia can be linked to the presence of vocal folds nodules - a condition commonly seen in children due to vocal misuse and/or vocal abuse.
Maria Rosário Dias   +1 more
doaj   +1 more source

Depression recognition using voice-based pre-training model

open access: yesScientific Reports
The early screening of depression is highly beneficial for patients to obtain better diagnosis and treatment. While the effectiveness of utilizing voice data for depression detection has been demonstrated, the issue of insufficient dataset size remains ...
Xiang Huang   +6 more
semanticscholar   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy