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Enregistrement W7017909014

Characterisation of woodwind instrument reed (Arundo donax L) degradation and mechanical behaviour

2019· dissertation· en· W7017909014 sur OpenAlexfundno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2019
Typedissertation
Langueen
DomaineEngineering
ThématiqueWood Treatment and Properties
Établissements canadiensnon disponible
Organismes subventionnairesMcGill University
Mots-clésDegradation (telecommunications)Environmental degradationDeposition (geology)Pollution
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the present study, reeds and reed material Arundo donax L are evaluated in a long-term degradation study.Investigations into the macroscopic and microscopic behaviour of reeds suggests several deterioration mechanisms.Results can be used to inform manufacturers as to methods by which product quality control could be improved.The anatomical and materialThe author is very grateful to the many people that have aided and contributed to this work in some way.It is only through the fruitful interactions with colleagues, technicians and others around McGill and abroad that this thesis was possible.Firstly, I would like to give many thanks to my supervisor, Dr. Gary Scavone.He was willing to take on a new student venturing into a project that would require expertise in many areas.The success of this work rests on his guidance and support.I would also like to thank the students at CAML who have been a pleasure to work with, and for their time in discussing the many intricacies of experimental work.The Music Technology Area and CIRMMT have also provided support in this endeavour, facilitating travel that lead to meetings and collaborative work that form significant components of this thesis.Several other labs at McGill have provided the use of equipment and space without which many experiments would not have been possible.Dr.'s Francois Barthelat and Larry Lessard of the Mechanical Engineering Department provided the use of their labs and helpful discussions in various aspects of this work.Dr.Richard Chromik of the Materials Engineering Department facilitated meetings with himself and members of his lab and the use of experimental equipment.Dr. Dominique Derome at the Swiss Federal Laboratories for Materials Science (Empa) was willing to host me in her lab after meeting at MRS in Boston.Her support and interest in this study made the results more meaningful and provided an avenue for experimental work that was not initially thought possible.Without the input and help of these people this thesis would not have fulfilled its objectives.I would also like to acknowledge the various laboratory technicians that aided in experimental setup and sample preparation around McGill.The staff at the Goodman Cancer Research Centre are greatly acknowledged for their efforts in designing a protocol for sample preparation on a material they were seeing for the first time.The students of Luc Mongeau's lab in the Mechanical Engineering Department helped with surface probing techniques and imaging.Petr Fiurasek in the Department of Chemistry provided training and helpful discussions on the chemical characterisation of samples.Stepan Carl at Empa provided support while preforming experiments as a visiting researcher there.Daryl Cameron in the Music Technology Area helped with much of the machining work in this thesis and was vital in preparing a computer for data analysis.Thanks to all.vi Perhaps the most important people to which success is owed is my family.They have always provided support, despite my best efforts to become a career student.Grandparents on both sides of the family have always given me help and my gratitude cannot be overstated.The close bonds I share with all my family have given me the strength to power through this work.My only regret is that my Poppa has left us prior to the conclusion of this work.I know he would have loved to hear about all of my endeavours despite the endless "book learnin'."And of course, thank you to Kate Fisher, my wonderful partner who has been privy to all aspects of completing a dissertation.You'll always be my LF.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,204
Écart entre enseignants0,188 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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