On the results of the online scientific-practical conference with international participation "Experience of military formations in the aftermath of the Chernobyl accident through the prism of modern radiation and chemical threats" April 15-16, 2021, Kyiv
Notice bibliographique
Résumé
The Scientific-practical conference "Experience of military formations in the aftermath of the Chernobyl accident through the prism of modern radiation and chemical threats" (hereinafter - the Conference) was organized by the Ukrainian Military Medical Academy in conjunction with the National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine and conducted on the basis of SE "Research Center of Preventive Toxicology, Food and Chemical Safety named after Academician L.I. Medved of the Ministry of Health of Ukraine" in Kyiv on April 15-16, 2021. Aim. The Conference was dedicated to the 35th anniversary of the Chernobyl disaster, current issues of CBRN medical care and generalization of experience in eliminating the radiation accident, taking into account the current structure of medical forces and troops of the CBRN protection. The main purpose of the Conference was to spread the scientific and pedagogical experience of the Ukrainian Military Medical Academy as the only medical institution in the country for the training of military medical personnel. The event was attended by representatives of the Department of Military Education and Science of the Ministry of Defense of Ukraine, Command of the Medical Forces of the Armed Forces of Ukraine, higher military primary institutions of the Ministry of Defense of Ukraine, radiation, chemical, biological protection of the Armed Forces and Defense Forces of Ukraine, higher medical primary institutions of Ukraine, health care institutions of Ukraine, representatives of the Malaysian Armed Forces and colleagues from Canada. Conclusions. The conference provided an opportunity for military medics, scientists, and civil servants to come together to share experiences on a wide range of issues. Measures to eliminate the radiation accident were discussed; measures of medical protection and rendering of medical care in the conditions of radiation infection; the role of the medical service of the Armed Forces in the elimination of radiation accidents; coordination and interaction between departments and institutions of different subordination in the field of medical care and radiation protection with the involvement of military specialists in the elimination of the consequences of a radiation accident; integration of scientific and educational activities in the system of higher military medical education; application of new scientific and technical knowledge during the training of military medics and the formation of scientific personnel potential. The conference was attended by about 90 experts in the field of theoretical and clinical medicine and CBRN defense, who presented 20 plenary and 10 section reports, prepared 39 abstracts, which were reflected in the scientific journal "Ukrainian Journal of Military Medicine" (Vol. 2. №1. 2021. Appendix). Key Words: radiation accidents, military radiology, military medicine, medical protection.
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 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,063 | 0,012 |
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 ».