Strong legacies of emerging trends in winter precipitation on the carbon-climate feedback from Arctic tundra.

Changes in winter precipitation accompanying emerging climate trends lead to a major carbon-climate feedback from Arctic tundra. However, the mechanisms driving the direction, magnitude, and form (CO and CH) of C fluxes and derived climate forcing (i.e.

Cognition, physical function and life purpose in the rural elderly population: a systematic review.

Introduction: Aging in rural areas is challenging and has very specific characteristics in the way these elderly people live their old age, from the perspectives of cognition, functionality and life purpose. There is a lack of information and data in the literature on how people age in rural areas around the world. The aim of this study was to identify and describe how people age in rural areas, focusing on the following domains: cognition, physical function/functionality and life purpose.

Comprehensive molecular epidemiology of influenza viruses in Brazil: insights from a nationwide analysis.

Influenza A and B viruses represent significant global health threats, contributing substantially to morbidity and mortality rates. However, a comprehensive understanding of the molecular epidemiology of these viruses in Brazil, a continental-size country and a crucial hub for the entry, circulation, and dissemination of influenza viruses within South America, still needs to be improved. This study addresses this gap by consolidating data and samples across all Brazilian macroregions, as part of the Center for Viral Surveillance and Serological Assessment project, together with an extensive number of other Brazilian sequences provided by a public database during the epidemic seasons spanning 2021-23.

High-Throughput Phenotyping for Agronomic Traits in Cassava Using Aerial Imaging.

Large-scale phenotyping using unmanned aerial vehicles (UAVs) has been considered an important tool for plant selection. This study aimed to estimate the correlations between agronomic data and vegetation indices (VIs) obtained at different flight heights and to select prediction models to evaluate the potential use of aerial imaging in cassava breeding programs. Various VIs were obtained and analyzed using mixed models to derive the best linear unbiased predictors, heritability parameters, and correlations with various agronomic traits.