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http://dx.doi.org/10.5694/j.1326-5377.2002.tb05023.x | DOI Listing |
J Voice
October 2024
Department of Sense Organs, Sapienza University, Rome, Italy.
Objective: In professional singers, allergic rhinitis can lead to dysphonia and alterations in resonance. Each episode of laryngeal inflammation increases the risk of vocal strain or forces singers to cancel performances. This study aimed to analyze differences between allergic and nonallergic professional singers in self-evaluation of voice quality, objective examination of voice, and limitations of professional activities due to voice troubles.
View Article and Find Full Text PDFCommun Biol
October 2024
School of Veterinary Science, University of Queensland, Gatton, QLD, Australia.
Music Sci
September 2024
Imperial College London, UK; Queen Mary University of London, UK.
In this preliminary study, we explored the relationship between auditory imagery ability and the maintenance of tonal and temporal accuracy when singing and audiating with altered auditory feedback (AAF). Actively performing participants sang and audiated (sang mentally but not aloud) a self-selected piece in AAF conditions, including upward pitch-shifts and delayed auditory feedback (DAF), and with speech distraction. Participants with higher self-reported scores on the Bucknell Auditory Imagery Scale (BAIS) produced a tonal reference that was less disrupted by pitch shifts and speech distraction than musicians with lower scores.
View Article and Find Full Text PDFSci Rep
June 2024
Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, al. A. Mickiewicza 30, 30-059, Kraków, Poland.
This study introduces an evaluation methodology tailored for bioreactors, with the aim of assessing the stress experienced by algae due to harmful contaminants released from antifouling (AF) paints. We present an online monitoring system equipped with an ultra-sensitive sensor that conducts non-invasive measurements of algal culture's optical density and physiological stage through chlorophyll fluorescence signals. By coupling the ultra-sensitive sensor with flash-induced chlorophyll fluorescence, we examined the dynamic fluorescence changes in the green microalga Chlamydomonas reinhardtii when exposed to biocides.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
May 2024
Graph neural networks (GNNs) are widely used for analyzing graph-structural data and solving graph-related tasks due to their powerful expressiveness. However, existing off-the-shelf GNN-based models usually consist of no more than three layers. Deeper GNNs usually suffer from severe performance degradation due to several issues including the infamous "over-smoothing" issue, which restricts the further development of GNNs.
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