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Record W3108090289 · doi:10.1101/2020.11.20.20235911

Intraglottal aerodynamic pressure and energy transfer in a self-oscillating synthetic model of the vocal folds

2020· preprint· en· W3108090289 on OpenAlexaff
Mohsen Motie-Shirazi, Matías Zañartu, Sean D. Peterson, Byron D. Erath

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversity of Waterloo
FundersNational Institute on Deafness and Other Communication DisordersNational Institutes of Health
KeywordsPhonationVocal foldsOscillation (cell signaling)AirflowMechanicsAcousticsAerodynamicsFold (higher-order function)PhysicsLarynxAnatomyMaterials scienceChemistryBiologyEngineeringMedicineThermodynamicsAudiologyMechanical engineering

Abstract

fetched live from OpenAlex

Self-sustained oscillations of the vocal folds during phonation are the result of the energy exchange between the airflow and the vocal fold tissue. Understanding this mechanism requires accurate investigation of the aerodynamic pressures acting on the vocal fold surface during oscillation. A self-oscillating silicone vocal fold model was used in a hemilaryngeal flow facility to measure the time-varying pressure distribution along the inferior-superior length of the vocal fold with a spatial resolution of 0.254 mm, and at four discrete locations in the anterior-posterior direction. It was found that the intraglottal pressures during the opening and closing phases of the vocal fold are highly dependent on three-dimensional and unsteady flow behaviors. The measured aerodynamic pressures and estimates of the medial surface velocity were used to compute the intraglottal energy transfer from the airflow to the vocal folds. The energy was greatest at the anterior-posterior midline, and decreased significantly toward the anterior/posterior endpoints. The net energy transfer over an oscillation cycle was positive, consistent with the theory of energy exchange during phonation. The findings provide insight into the dynamics of the vocal fold oscillation and the potential causes of some vocal fold disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.234
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

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