Notice bibliographique
Résumé
Dear Delegates, It is a great pleasure for me to welcome you in my hometown Rennes for the 5th International Conference on Food Digestion (ICFD5). This event is organized by INFOGEST, an international network that aims at “Improving Health Properties of Food by Sharing our Knowledge on the Digestive Process”. The specific objectives of the network are to: -compare the existing digestion models, harmonize the methodologies, validate them towards in vivo data and propose guidelines for performing new experiments -identify the bioactive components that are released in the gut during food digestion -demonstrate the effect of these compounds on human health -determine the effect of the matrix structure on the bioavailability of food nutrients and bioactive molecules Between 2011 and 2015, INFOGEST was supported by European funding. It gathered more than 340 scientists from 37 countries (Europe but also Canada, Australia, Argentina, New Zealand, USA…). Connections between academic partners and industry were also reinforced via the participation to INFOGEST of more than 40 food companies. INFOGEST allowed staff exchanges between partners, organized 8 workshops, 4 training schools and 4 Conferences during the period. Since 2015, thanks to the help of industry sponsors, we have been able to continue our networking activities and 3 new workshops in Athens, Wageningen and Norwich were organized. Three new Working Groups are currently running: WG1 on correlation between in vitro and in vivo data, WG2 on the development of a semi-dynamic model of in vitro digestion and WG3 on in vitro digestion models for specific populations (infant, elderly). In Rennes, 3 new WGs will be launched: WG4 on digestive lipases and lipid digestion, WG5 on digestive amylase and starch digestion and WG6 on in silico models of digestion. These WGs are fully open to new comers, so feel free to participate in you are interested! The first edition of the International Conference on Food Digestion (ICFD) was held in Cesena in 2012 and gathered 150 delegates. In 2013, more than 200 participants met in Madrid whereas participation reached a peak in Wageningen in 2014 with 248 delegates and was in Naples with 224. This year, once again, the conference will be a success since it will welcome more than 210 participants from 36 countries. More than 200 abstracts were submitted with an extremely high scientific level and the selection of the oral presentation by the scientific committee was extremely difficult! So, I would like to thank the Local Organizing Committee for their efforts to welcome you in the most comfortable conditions and the Scientific Committee for offering you such an exciting programme! We are in the process of making INFOGEST recognized by INRA as an “International Research Network” that would guarantee to continue our networking activities until mid-2022. The mailing list and website (www.cost-infogest.eu) are still active and will be regularly updated and the 6th International Conference on Food Digestion (ICFD6) will be held in April-May 2019. I would like to thank my friend Alan, vice-Chair of INFOGEST and the Working Group leaders and deputy leaders to help me running the network. Finally, I couldn’t finish this introduction without acknowledging Nathalie who is still taking care of most, if not all, the administrative tasks so efficiently. So on behalf of the Local Organizing Committee and the Scientific Committee, I wish you an excellent Conference and hope to see you again at the 6th International Conference on Food Digestion in 2019! Didier DUPONT, Chair of INFOGEST
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 | 0,004 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,010 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,443 | 0,234 |
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 ».