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Enregistrement W4205280810 · doi:10.1088/1755-1315/919/1/011001

Preface

2021· article· en· W4205280810 sur OpenAlexaboutno aff

Notice bibliographique

RevueIOP Conference Series Earth and Environmental Science · 2021
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMarine and Coastal Ecosystems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessFisheries ResearchFisheries scienceSustainabilityFisheries lawFisheries managementFisheryGovernment (linguistics)AquaculturePolitical scienceFishingFish <Actinopterygii>BiologyEcology

Résumé

récupéré en direct d'OpenAlex

Abstract Pandemic COVID-19 has hardly impacted global fisheries and aquaculture, as FAO reported in the 34th session of the Committee on Fisheries (COFI) in February 2021. FAO further suggests that this pandemic impact catalyzes the fisheries sector to be more innovative, socially, and environmentally responsible. Fish and fisheries products are well-known healthy food. It contains high quality and quantity of protein and provides essential vitamins and minerals to maintain human health status. The innovation of science and technology in the fisheries sector is a crucial point to improve and assure the efficiency and sustainability of the production and utilization of the resource. Research activities and development should be synergically conducted to implement technologies that benefit the communities. Department of Fisheries, Faculty of Agriculture, Universitas Gadjah Mada, holds a biennially international symposium to provide access and exchange of research data and fisheries experience to support the transfer of knowledge and technology to strengthen the world’s fisheries sector. The 4th International Symposium on Marine and Fisheries Research (The 4 th ISMFR) aims to bring together academic scientists, researchers, government institutions, private parties, and stakeholders to share and exchange progress information, experiences, and research results in all aspects of marine and fisheries sciences. The 4th ISMFR theme was promoting sustainable fisheries through technology and research innovation for a healthy community”. It covered a broad spectrum of fisheries-related topics, including aquaculture, fish disease, fish genetics, biotechnology, marine natural product, seafood processing technology, seafood safety, fisheries biology, fisheries resources management, fisheries socio-economics, oceanography, climate sciences, and marine ecotoxicology. Due to the Pandemic COVID-19, the 4th ISMFR was held virtual on July 28-29, 2021, by using the Zoom Meeting platform. We cannot postpone this symposium because it is a routine schedule for researchers and stakeholders to disseminate and discuss their research findings. The seminar’s organizing committee was located in the Fisheries Department, Faculty of Agriculture, Gadjah Mada University, Yogyakarta, Indonesia. Management of the symposium was carried out using the website (http://ismfr-ugm.org/). The symposium consists of a plenary session and parallel presentation sessions. The plenary session presented three keynote speakers, namely Professor Rashid Sumaila from The University of British Columbia (Canada), Professor Erlinda R. Cruz Lacierda from The University of the Philippines Visayas (Philippines), and Professor Soottawat Benjakul from The Prince of Songkla University (Thailand). A total of six parallel presentation sessions was conducted with 12 invited speakers and presenters from eight countries, namely Norway, Belgium, New Zealand, Japan, Australia, Thailand, Malaysia, and Indonesia. Presentations in each parallel class were divided into presentation panels consisting of approximately five presenters. Each presenter was given 10 minutes for presentation and discussion. Discussion sessions were held at the end of each forum for about 15 minutes. A total of 146 scientific papers have been presented at the 4th ISMFR. The 4 th ISMFR was attended by 155 participants. All presenters and attendances join the symposium virtually from their respective residences. Readers can access recordings of the 4 th ISMFR Plenary session on the YouTube channel (https://www.youtube.com/watch?v=dGtjnoR3hSo&amp;t=7599s). This proceeding provides an opportunity for readers to gain more information from the reviewed papers that have been presented in the 4th ISMFR. The articles published in this proceeding were selected from the papers presented in the symposium. The reviewers from six countries (Philippines, Egypt, Malaysia, Thailand, Japan, Indonesia) and the editors from four countries (Malaysia, Thailand, Japan, Indonesia) have participated in the abstracts screening, improving, and finalizing the manuscripts. The proceedings divided into three sections, namely aquaculture, aquatic resource management, and fish product technology. From this proceeding, readers will find recent research finding on broad aspects of fisheries and marine sciences to come up with new knowledge and idea to promote sustainable fisheries through technology and research innovation for a healthy community. We want to thank all parties for the success of the 4th ISMFR. Our gratitude is presented to the organizing committee, keynote and invited speakers, reviewers, editors, and editing staff for the dedication, hard work, and tireless efforts in implementing the symposium and publication process. We express our acknowledgment to the Rector of Universitas Gadjah Mada, the Dean of the Faculty of Agriculture, the Head of Fisheries Department, and the Publication Agency of Universitas Gadjah Mada, who provided continuous support on the symposium. Our thank you also conveyed to the speakers and participants, who have given their best efforts to disseminate, discuss, and publish papers. We also thank all parties who have contributed to the success of the 4 th ISMFR and the publication. We sincerely hope readers will find notable pieces of knowledge on fisheries and marine science from different points of view. Chief Editor List of committees of the 4 th ISMFR, List of Editors of the 4 th ISMFR proceeding, Documentation of the 4 th ISMFR are available in this pdf.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,383
Score d'incertitude au seuil0,993

Scores Codex et Gemma par catégorie

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 technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0080,000

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 Opus0,008
Tête enseignante GPT0,183
Écart entre enseignants0,174 · 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 tête enseignante, pas un consensus.

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
Publié2021
Routes d'admission1
Résumé présentoui

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