Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible.

Biodiversity data, particularly species occurrence and abundance, are indispensable for testing empirical hypothesis in natural sciences. However, datasets built for research programmes do not often meet FAIR (findable, accessible, interoperable and reusable) principles, which raises questions about data quality, accuracy and availability. The 21 century has markedly been a new era for data science and analytics and every effort to aggregate, standardise, filter and share biodiversity data from multiple sources have become increasingly necessary.

Telemedicine in healthcare access during the covid-19 pandemic: a scoping review.

Objective: Mapping the role of telemedicine in the health access of patients with chronic diseases in continuous care actions (except for covid-19) during the pandemic.

Methods: This is a scoping review, with an adapted version of the Prisma-Scr methodology and using the Population (patients with chronic diseases), Concept (telemedicine as a health access tool) and Context (covid-19 pandemic) strategy. We searched through the following databases: PubMed, Scopus, Embase, Web of Science, Lilacs and SciELO, resulting in 18 articles at the end of the review.

Cell-derived microparticles and von Willebrand factor in Brazilian renal transplant recipients.

Aim: This study was aimed at investigating platelet-derived microparticles (PMP), endothelium cell-derived microparticles (EMP) and von Willebrand factor (VWF) according to renal function and time post-transplant. We found this study relevant because unusual biomarkers seem to be a promising tool to evaluate chronic renal disease and post-transplant monitoring.

Methods: Ninety-one renal transplant recipients (RTx) were allocated into groups according to creatinine plasma levels (C1 < 1.