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- Crespo, M. M., et al.
(author)
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ISHLT consensus document on lung transplantation in patients with connective tissue disease: Part III: Pharmacology, medical and surgical management of post-transplant extrapulmonary conditions statements
- 2021
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In: Journal of Heart and Lung Transplantation. - : Elsevier BV. - 1053-2498. ; 40:11, s. 1279-1300
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Journal article (peer-reviewed)abstract
- Patients with connective tissues disease (CTD) are often on immunomodulatory agents before lung transplantation (LTx). Till now, there's no consensus on the safety of using these agents perioperative and post-transplant. The International Society for Heart and Lung Transplantation-supported consensus document on LTx in patients with CTD addresses the risk and contraindications of perioperative and post-transplant management of the biologic disease-modifying antirheumatic drugs (bDMARD), kinase inhibitor DMARD, and biologic agents used for LTx candidates with underlying CTD, and the recommendations and management of non-gastrointestinal extrapulmonary manifestations, and esophageal disorders by medical and surgical approaches for CTD transplant recipients. (C) 2021 International Society for Heart and Lung Transplantation. All rights reserved.
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- Espinosa-Gongora, C, et al.
(author)
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Towards a Better and Harmonized Education in Antimicrobial Stewardship in European Veterinary Curricula
- 2021
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In: Antibiotics (Basel, Switzerland). - : MDPI AG. - 2079-6382. ; 10:4
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Journal article (peer-reviewed)abstract
- Education in antimicrobial stewardship (AMS) in veterinary medicine is essential to foster responsible antimicrobial use and control of antimicrobial resistance (AMR) in animals. AMS is listed by the EU and international organizations among the basic ‘Day One Competences’ required of veterinary students upon graduation. Our aim was to evaluate the quality of education of European veterinary students in AMS. We distributed a 27-item survey addressing the perceptions of preparedness and acquired skills on key topics related to AMS to final-year veterinary students in Europe. We collected 3423 complete answers from 89 veterinary schools in 30 countries. Selection of treatment strategies and awareness of emerging AMR problems were markedly different between countries. Overall, only one in four students was familiar with guidelines for antimicrobial use. The students perceived a medium-high impact of veterinary antimicrobial use on AMR in humans. Notably, 75% of the students felt the need for improved teaching on AMS, half of which also demanded more teaching on general antimicrobial therapy. Our results highlight several possible strategies to improve the quality of education, ranging from a better link between clinical rotations and the theory taught in pre-clinical modules, to a more effective introduction into best practices for antimicrobial use.
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- Kristan, M., et al.
(author)
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The Eighth Visual Object Tracking VOT2020 Challenge Results
- 2020
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In: Computer Vision. - Cham : Springer International Publishing. - 9783030682378 ; , s. 547-601
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Conference paper (peer-reviewed)abstract
- The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ).
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