Calma para resgatar o movimento olímpico: explorando oportunidades no adiamento de Tóquio 2020

The COVID-19 pandemic has resulted in the decision of the International Olympic Committee (IOC) to postpone the Tokyo 2020 Olympic Games, which is an unprecedented decision that is bringing about colossal challenges to every institutional stakeholder in the Olympic System. The IOC has launched a robust taskforce to assess the reach and impact of the postponement, and provide guidance to adapt the project of the Games to a new timeline, which is addressing the logistical, managerial and financial aspects of this endeavor. This paper, however, aims to approach this unprecedented challenge from a perspective that privileges the opportunities it creates to shift the course of the Olympic Movement towards a better alignment with Olympic ideals, based on some recommendations of Agenda 2020 as well. References 1 IOC. Olympic Charter [cited 13 Apr 2020]. Available at: https://bit.ly/30vBIEQ. 2 IOC. Olympic Motto [cited 13 Apr 2020]. Available at: https://www.olympic.org/the-olympic-motto. 3 IOC. Tokyo 2020, Here We Go: New Dates, Same Commitment [cited 13 Apr 2020]. Available at: https://www.olympic.org/news/tokyo-2020-here-we-go-new-dates-same-commitment. 4 Morgan L. Athletes asked for preference on new dates for 2021 FINA World Championships [cited 13 Apr 2020]. Inside the Games; 2020. Available at: https://www. insidethegames.biz/articles/1092846/fina-athlete-committee-survey-2021. 5 Reid HL. Why Olympia matters for modern sport. Journal of the Philosophy of Sport. 2017; 44(2): 159-173. 6 Coubertin P. The Olympic idea. Discourses and Essays. Schorndorf: Hofmann; 1967. 7 AWAKE! The Olympics?—Where Are They Headed? [cited 13 Apr 2020].  Awake!; 1977. Available at: https://wol.jw.org/en/wol/d/r1/lp-e/101977081#h=4.La pandemia de COVID-19 resultó en la decisión del Comité Olímpico Internacional (COI) de posponer los Juegos Olímpicos de Tokio 2020, es una decisión sin precedentes que trae desafíos colosales a todas las partes institucionales interesadas en el Sistema Olímpico. El COI lanzó un grupo de trabajo sólido para evaluar el alcance y el impacto del aplazamiento y proporcionar orientación para adaptar el proyecto de los Juegos a una nueva línea de tiempo, que aborde los aspectos logísticos, administrativos y financieros de esta empresa. Sin embargo, este artículo tiene como objetivo abordar este desafío sin precedentes desde una perspectiva que privilegia las oportunidades creadas para cambiar el curso del Movimiento Olímpico hacia una mejor alineación de los ideales olímpicos, en base a algunas recomendaciones de la Agenda 2020. Referencias 1 IOC. Olympic Charter [cited 13 Apr 2020]. Available at: https://bit.ly/30vBIEQ. 2 IOC. Olympic Motto [cited 13 Apr 2020]. Available at: https://www.olympic.org/the-olympic-motto. 3 IOC. Tokyo 2020, Here We Go: New Dates, Same Commitment [cited 13 Apr 2020]. Available at: https://www.olympic.org/news/tokyo-2020-here-we-go-new-dates-same-commitment. 4 Morgan L. Athletes asked for preference on new dates for 2021 FINA World Championships [cited 13 Apr 2020]. Inside the Games; 2020. Available at: https://www. insidethegames.biz/articles/1092846/fina-athlete-committee-survey-2021. 5 Reid HL. Why Olympia matters for modern sport. Journal of the Philosophy of Sport. 2017; 44(2): 159-173. 6 Coubertin P. The Olympic idea. Discourses and Essays. Schorndorf: Hofmann; 1967. 7 AWAKE! The Olympics?—Where Are They Headed? [cited 13 Apr 2020].  Awake!; 1977. Available at: https://wol.jw.org/en/wol/d/r1/lp-e/101977081#h=4.A pandemia do COVID-19 resultou na decisão do Comitê Olímpico Internacional (COI) de adiar os Jogos Olímpicos de Tóquio 2020, é uma decisão sem precedentes que está trazendo desafios colossais para todas as partes institucionais interessadas no Sistema Olímpico. O COI lançou uma força-tarefa robusta para avaliar o alcance e o impacto do adiamento e fornecer orientações para adaptar o projeto dos Jogos a uma nova linha do tempo, que trata dos aspectos logísticos, gerenciais e financeiros desse empreendimento. Este artigo, no entanto, visa abordar esse desafio sem precedentes de uma perspectiva que privilegia as oportunidades criadas para mudar o curso do Movimento Olímpico em direção a um melhor alinhamento dos ideais olímpicos, com base em algumas recomendações da Agenda 2020. Referências 1 IOC. Olympic Charter [cited 13 Apr 2020]. Available at: https://bit.ly/30vBIEQ. 2 IOC. Olympic Motto [cited 13 Apr 2020]. Available at: https://www.olympic.org/the-olympic-motto. 3 IOC. Tokyo 2020, Here We Go: New Dates, Same Commitment [cited 13 Apr 2020]. Available at: https://www.olympic.org/news/tokyo-2020-here-we-go-new-dates-same-commitment. 4 Morgan L. Athletes asked for preference on new dates for 2021 FINA World Championships [cited 13 Apr 2020]. Inside the Games; 2020. Available at: https://www. insidethegames.biz/articles/1092846/fina-athlete-committee-survey-2021. 5 Reid HL. Why Olympia matters for modern sport. Journal of the Philosophy of Sport. 2017; 44(2): 159-173. 6 Coubertin P. The Olympic idea. Discourses and Essays. Schorndorf: Hofmann; 1967. 7 AWAKE! The Olympics?—Where Are They Headed? [cited 13 Apr 2020].  Awake!; 1977. Available at: https://wol.jw.org/en/wol/d/r1/lp-e/101977081#h=4

Listening as medicine: A thematic analysis

Realizations of the importance of “the art of medicine” in trust-building and patient satisfaction have resulted in the incorporation of narrative medicine programs into training curricula. By learning how to respond to patient stories as well as communicate their own, healthcare providers can ensure that their patients feel heard and respected. This study seeks to define what constitutes empathetic listening through a qualitative analysis of personal narratives collected from patients, caregivers, and providers across an urban academic healthcare system. Stories (n=41) underwent thematic analysis to note common experiences related to listening during a health system encounter. Eighteen grounded codes were identified which were abstracted to the following five themes: (1) connection and trust, (2) emotion and vulnerability, (3) objectives and experiences, (4) interaction and opportunity, and (5) challenges of listening. The most common theme of “connection and trust” indicated that active listening and person-centered care were key drivers of patient satisfaction and medical adherence. Encouraging patients and providers to become more comfortable verbalizing vulnerability also provided emotional relief. Taking the time to listen to patient needs and values advanced shared-decision making and facilitated the establishment of care objectives. Storytellers also conveyed the challenges inherent to the listening process. By helping to define empathetic listening, these results may enable the development of healthcare training programs centered on improving clinician communication and patient experience. We hope this study encourages future research devoted to quantifying subjective features such as “connection and trust” and “emotion and vulnerability” utilizing psychometrically validated instruments. Experience Framework This article is associated with the Patient, Family & Community Engagement lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens

Numerical investigation of aerodynamic performance and structural analysis of a 3D J-shaped based small-scale vertical axis wind turbine

Small vertical axis wind turbines (VAWTs) are often considered suitable for use in urban areas due to their compact design. However, they are also well known to offer poor performance at low wind speeds, which is a common situation in such environments. An optimised 3D J-shaped VAWT was designed from standard NACA 0015 blades and analysed numerically through computational fluid dynamics (CFD). A finite element analysis (FEA) was also carried out to ensure the model’s structural integrity. Optimal results were obtained with aluminium alloy hollow blades and stainless-steel struts with X-shaped beams, with internal ribs. Numerical results showed that the J-shaped VAWT achieved an 18.34% higher moment coefficient compared to a NACA 0015-based VAWT, indicating better self-starting abilities

Cardiomyocytes from human pluripotent stem cells: from laboratory curiosity to industrial biomedical platform

Cardiomyocytes from human pluripotent stem cells (hPSCs-CMs) could revolutionise biomedicine. Global burden of heart failure will soon reach USD $90bn, while unexpected cardiotoxicity underlies 28% of drug withdrawals. Advances in hPSC isolation, Cas9/CRISPR genome engineering and hPSC-CM differentiation have improved patient care, progressed drugs to clinic and opened a new era in safety pharmacology. Nevertheless, predictive cardiotoxicity using hPSC-CMs contrasts from failure to almost total success. Since this likely relates to cell immaturity, efforts are underway to use biochemical and biophysical cues to improve many of the ~ 30 structural and functional properties of hPSC-CMs towards those seen in adult CMs. Other developments needed for widespread hPSC-CM utility include subtype specification, cost reduction of large scale differentiation and elimination of the phenotyping bottleneck. This review will consider these factors in the evolution of hPSC-CM technologies, as well as their integration into high content industrial platforms that assess structure, mitochondrial function, electrophysiology, calcium transients and contractility. This article is part of a Special Issue entitled: Cardiomyocyte Biology: Integration of Developmental and Environmental Cues in the Heart edited by Marcus Schaub and Hughes Abriel

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing