BEAR Cage: Mentoring through Engagement
Notice bibliographique
Résumé
EDITORIALS Association of sleep apnea and snoring with incident atrial fibrillation in the multi-ethnic study of atherosclerosis. Am J Epidemiol 2015; 14. Somers VK, White DP, Amin R, Abraham WT, Costa F, Culebras A, Daniels S, Floras JS, Hunt CE, Olson LJ, et al. Sleep apnea and cardiovascular disease: an American Heart Association/American College of Cardiology Foundation Scientific Statement from the American Heart Association Council for High Blood Pressure Research Professional Education Committee, Council on Clinical Cardiology, Stroke Council, and Council on Cardiovascular Nursing. J Am Coll Cardiol 2008;52:686–717. 15. Monahan K, Storfer-Isser A, Mehra R, Shahar E, Mittleman M, Rottman J, Punjabi N, Sanders M, Quan SF, Resnick H, et al. Triggering of nocturnal arrhythmias by sleep-disordered breathing events. J Am Coll Cardiol 2009;54:1797–1804. 16. Leung RS, Huber MA, Rogge T, Maimon N, Chiu KL, Bradley TD. Association between atrial fibrillation and central sleep apnea. Sleep 17. Mehra R, Stone KL, Varosy PD, Hoffman AR, Marcus GM, Blackwell T, Ibrahim OA, Salem R, Redline S. Nocturnal Arrhythmias across a spectrum of obstructive and central sleep-disordered breathing in older men: outcomes of sleep disorders in older men (MrOS sleep) study. Arch Intern Med 2009;169:1147–1155. 18. Javaheri S. Sleep disorders in systolic heart failure: a prospective study of 100 male patients. The final report. Int J Cardiol 2006;106: 19. McMillan A, Bratton DJ, Faria R, Laskawiec-Szkonter M, Griffin S, Davies RJ, Nunn AJ, Stradling JR, Riha RL, Morrell MJ; PREDICT Investigators. Continuous positive airway pressure in older people with obstructive sleep apnoea syndrome (PREDICT): a 12-month, multicentre, randomised trial. Lancet Respir Med 2014; 20. McMillan A, Bratton DJ, Faria R, Laskawiec-Szkonter M, Griffin S, Davies RJ, Nunn AJ, Stradling JR, Riha RL, Morrell MJ. A multicentre randomised controlled trial and economic evaluation of continuous positive airway pressure for the treatment of obstructive sleep apnoea syndrome in older people: PREDICT. Health Technol Assess Copyright © 2016 by the American Thoracic Society BEAR Cage: Mentoring through Engagement The Way is in training. Become acquainted with every art. Know the way of all Professions. —Miyamoto Musashi, A Book of Five Rings As health sciences is broadening its focus to include transforming new knowledge into various health care system improvements, establishing a career as a scientific investigator is increasingly a challenging process. To achieve success in this environment, young investigators need to integrate knowledge from many different disciplines. They also require understanding of both the art and science of research translation, as it enhances scientific creativity and efficient strategic thinking, leading to real-world innovations (1–3). Furthermore, this knowledge will better position young investigators for careers and leadership positions across university, industry, nonprofit, and government settings, including regulatory agencies such as the U.S. Food and Drug Administration and the European Medicines Agency. And it will improve their ability to compete for ever-tightening resources in these environments. Going forward, we must make every effort to find new venues to enhance and further develop this art and wisdom as a complementary discipline to the more traditional research skills (4–7). The Solution The American Thoracic Society (ATS) needs to further enhance its leadership position in educating early-stage researchers by preparing them for these challenging translational careers. In new ways, we, as active ATS members, need to show junior faculty Supported by the Intramural Research Program, National Institutes of Health, NHLBI (J.M.). Originally Published in Press as DOI: 10.1164/rccm.201602-0297ED on February 24, 2016 that they have the support of their professional organization and that continuing guidance will be available as their careers develop. Although already enhancing the careers of its junior investigators on many levels, the ATS should continue to evolve by being recognized as an exemplary professional organization for facilitating translational research training and career development. Our goal, however, is not only to train investigators but also to convey the excitement of translational science: learning how to adapt ideas to the real world of improving health, be it in health policy or clinical care. The ATS, with its diverse membership and expertise, is uniquely positioned to achieve this vision through coordinated activities, including learning opportunities and mentoring of early-career investigators. To these ends, the ATS Drug, Device, Discovery, and Development (Quad D) Committee was given the assignment to promote translational science by training and inspiring young investigators in respiratory medicine, critical care, and sleep disorders through providing an infrastructure for teaching and mentorship. It began as an ATS “Academy of Translational Sciences” (ATS 2 ), dedicated to filling in learning gaps and providing mentoring for early career investigators, who will be the future of translational science. The Quad D Committee considered ways to maximize impact and leverage resources for ATS members. A survey of committee members indicated that components of a Translational Core Curriculum, some developed, in part, to facilitate the Clinical and Translational Science Award program, are already available. Duplication of these training modules, many available online, was deemed unnecessary and would not contribute meaningfully to career advancement of ATS members, especially junior faculty. We chose to follow complementary routes to achieve these goals, in part through activities at or around the ATS International American Journal of Respiratory and Critical Care Medicine Volume 193 Number 7 | April 1 2016
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,005 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».