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Enregistrement W4402969405 · doi:10.4103/rpe.rpe_25_24

News (IARP-YPG): Awards

2024· article· en· W4402969405 sur OpenAlexaboutno aff
S. Anand

Notice bibliographique

RevueRadiation Protection and Environment · 2024
Typearticle
Langueen
DomaineHealth Professions
ThématiqueRadioactivity and Radon Measurements
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChemistry

Résumé

récupéré en direct d'OpenAlex

The 16th International Congress of the International Radiation Protection Association (IRPA), with the theme of “Radiation Harmonization: Standing United for Protection,” took place in Orlando, Florida, from July 7 to 12, 2024, and was hosted by the Health Physics Society. One of the key highlights of the congress was the award for young radiation protection professionals by IRPA. This prestigious accolade aims to promote the advancement of radiation protection across all its fields and to recognize the outstanding contributions of young scientists and professionals. The award seeks to inspire the next generation of experts in radiation protection, encourage regional involvement, and reward dedication and excellence. Eligibility criteria for the award required candidates to be under 35 years of age with <10 years of experience in their respective fields. Candidates were also required to be officially nominated by an IRPA Associate Society, with each society permitted to nominate only one candidate. In addition, participants had to submit an abstract for an oral presentation at IRPA 16, along with a letter of recommendation, a CV, and a 1-min video summarizing their presentation’s key aspects. The IRPA 16 organizing committee appointed an esteemed Award Jury, chaired by Andrzej Wojcik of Stockholm University, a member of the IRPA 16 International Congress Programme Committee. The Jury evaluated the nominations and presentations, assessing the quality of the work, its significance to radiation protection, the quality of the abstract, and the effectiveness of the oral presentation. Fourteen young professionals from fourteen different countries were nominated by their respective societies, all vying for this esteemed recognition. On the final day of the congress, the award was presented to three outstanding candidates: Gabriel Dupont from France, Riya Dey from India, and Francesca Luoni from Italy [Figures 1 and 2].Figure 1: With Prof. Andrzej Wojcik and Dr. Bernard Le GuenFigure 2: Sharing the stage with all the award nomineesMs. Riya Dey, from the Health Physics Division, Bhabha Atomic Research Centre, was nominated by the Indian Association for Radiation Protection. Notably, she had previously received the IRPA Young Scientists Award at the AOCRP6 congress in Mumbai in 2023, through which the registration fee to attend the IRPA 16 congress was waived. In addition, her travel and accommodation expenses were covered by the Montreal Fund, courtesy of the IRPA 16 International Congress Support Committee. In the “Numerical and Computational Dosimetry” session, Ms. Dey presented her paper titled “Particle Deposition in Human Upper Airways and Trachea,” coauthored with Hemant K. Patni, M. S. Kulkarni, and S. Anand. Her research focused on the risks posed by inhaling radioactive aerosols at concentrations exceeding safe limits, which can lead to harmful exposure to the lungs and adjacent organs. The study analyzed the effects of complex respiratory tract geometry on particle deposition profiles. Using the ICRP-145 dataset, the male respiratory geometry, including the upper airways and trachea, was converted into a step file for use in Computational Fluid and Particle Dynamics simulations. The simulations explored fluid flow profiles and particle deposition patterns within this intricate respiratory system, shedding light on the mechanisms of inertial impaction, Brownian diffusion, and gravitational settling. The outcomes of this research can be integrated with Monte Carlo-based codes and voxel/hybrid mesh phantom geometry to estimate the inhalation dose from deposited radioactive particles. Her work is instrumental in improving our understanding of nonuniform particle deposition within the airways and has significant implications for realistic dose estimation. In recognition of her exceptional work and presentation, Ms. Riya Dey was awarded the IRPA 16 Silver Award, securing second place. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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 consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,967
Score d'incertitude au seuil1,000

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 technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,061
Tête enseignante GPT0,343
Écart entre enseignants0,282 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
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
Publié2024
Routes d'admission1
Résumé présentoui

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