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Enregistrement W4206342352 · doi:10.1088/1757-899x/887/1/011001

Preface

2020· article· en· W4206342352 sur OpenAlexaboutno aff

Notice bibliographique

RevueIOP Conference Series Materials Science and Engineering · 2020
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueAviation Industry Analysis and Trends
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPresentation (obstetrics)Government (linguistics)ProsperityChinaPublic relationsOrder (exchange)Coronavirus disease 2019 (COVID-19)Political scienceEngineeringEngineering ethicsMedia studiesSociologyMedicineBusinessLaw

Résumé

récupéré en direct d'OpenAlex

Currently the entire world is struggling against the virulent pandemic COVID-19. Unfortunately, each of us is affected, either directly or indirectly. Our conference, 2020 4th International Conference on Aeronautical Materials and Aerospace Engineering (AMAE 2020) was not an exception. In May, mass gatherings are not permitted by the government in China to protect people. It is uncertain when the COVID-19 would end, so it remains unclear for postponement date, while many scholars and researchers want to attend this long waited conference and have academic exchanges with their peers. Therefore, in order to actively respond the call of the government, and meet author’s request, the AMAE 2020, which was planned to be held in Chengdu, China from May 14 to 17, 2020, was changed to be held on May 15, 2020 online through Tencent VooV software. This approach not only guarantee participants’ safety and health but also meets their communication needs. Each keynote speech lasted 40 minutes, invited speech 30 minutes and author presentation 15 minutes. Each presentation was packed with questions and answers. There were lively discussion at the meeting, which promotes the academic exchange. The success and prosperity of the conference is reflected high level of the papers received. AMAE 2020 became an effective communication platform for all the participants over the world. AMAE 2020 was organized by Hong Kong Society of Mechanical Engineers. This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments and successful practices in Aeronautical Materials and Aerospace Engineering. More than 70 participants attended the meeting, they were from USA, Italy, Germany, Canada, UK, Malaysia, India, Poland, Kuwait, Saudi Arabia, China and more. Five renowned speakers given speeches about their latest research and reports. They are: Prof. Ian McAndrew, Capitol Technology University, USA; Prof. Kretov Anatolii, Nanjing University of Aeronautics and Astronautics, China; Prof. Graham J. F. Hunt, Embry-Riddle Aeronautical University, USA; Assoc. Prof. Bing Li, Northwestern Polytechnical University, China and Assoc. Prof. Dmytro V. Tiniakov, Nanjing University of Aeronautics and Astronautics, China. The conference also had 2 technical sessions and 2 poster sessions. The conference proceeding is a compilation of the accepted papers and represent an interesting outcome of the conference. This book covers 3 chapters: 1. Design; 2. Aviation; 3. Systems. We would like to acknowledge all of those who supported AMAE 2020. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the committee chairs, committee members and reviewers, for their tremendous contribution in conference organizing and peer review of the papers. We sincerely hope that AMAE 2020 will be a forum for excellent discussions that will put forward new ideas and promote collaborative researches. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes. Finally, we would like to thank the organization and committee for all their hard work and support and hope to meet you all in person at our next conference. Prof. Ian McAndrew & Prof. Kretov Anatolii Conference Co-Chairs

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)0,002
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,450
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,001
Communication savante0,0040,004
Science ouverte0,0020,003
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,5500,384

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 Opus0,043
Tête enseignante GPT0,203
Écart entre enseignants0,160 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2020
Routes d'admission1
Résumé présentoui

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