Characterisation of woodwind instrument reed (Arundo donax L) degradation and mechanical behaviour
Notice bibliographique
Résumé
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».