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UnknownBrain fatty acid and transcriptome profiles of pig fed diets with different levels of soybean oil.

Background

The high similarity in anatomical and neurophysiological processes between pigs and humans make pigs an excellent model for metabolic diseases and neurological disorders. Lipids are essential for brain structure and function, and the polyunsaturated fatty acids (PUFA) have anti-in...
S-EPMC9976441 | biostudies-literature
UnknownA novel Sporothrix brasiliensis genomic variant in Midwestern Brazil: evidence for an older and wider sporotrichosis epidemic.
Sporotrichosis is a subcutaneous infection caused by fungi from the genus Sporothrix. It is transmitted by inoculation of infective particles found in plant-contaminated material or diseased animals, characterizing the classic sapronotic and emerging zoonotic transmission, respectively. Since...
S-EPMC7717857 | biostudies-literature
UnknownPost-acute sequelae of SARS-CoV-2 infection (PASC): a protocol for a multidisciplinary prospective observational evaluation of a cohort of patients surviving hospitalisation in Sao Paulo, Brazil.

Introduction

COVID-19 may lead to persistent and potentially incapacitating clinical manifestations (post-acute sequelae of SARS-CoV-2 infection (PASC)). Using easy-to-apply questionnaires and scales (often by telephone interviewing), several studies evaluated samples of COVID-19 inpatients ...
S-EPMC8249176 | biostudies-literature
UnknownOrganizational factors associated with adherence to low tidal volume ventilation: a secondary analysis of the CHECKLIST-ICU database.

Background

Survival benefit from low tidal volume (VT) ventilation (LTVV) has been demonstrated for patients with acute respiratory distress syndrome (ARDS), and patients not having ARDS could also benefit from this strategy. Organizational factors may play a role on adherence to ...
S-EPMC7266115 | biostudies-literature
UnknownChronic lung lesions in COVID-19 survivors: predictive clinical model.

Objective

This study aimed to propose a simple, accessible and low-cost predictive clinical model to detect lung lesions due to COVID-19 infection.

Design

This prospective cohort study included COVID-19 survivors hospitalised between 30 March 2020 and 31 August 2020 followed-up 6 mont...
S-EPMC9195157 | biostudies-literature
UnknownUnraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology.
In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems...
S-EPMC9938116 | biostudies-literature
UnknownThe biogeography of the Amazonian tree flora.
We describe the geographical variation in tree species composition across Amazonian forests and show how environmental conditions are associated with species turnover. Our analyses are based on 2023 forest inventory plots (1 ha) that provide abundance data for a total of 5188 tree species. Within-pl...
S-EPMC11446918 | biostudies-literature
UnknownFunctional composition of the Amazonian tree flora and forests.
Plants cope with the environment by displaying large phenotypic variation. Two spectra of global plant form and function have been identified: a size spectrum from small to tall species with increasing stem tissue density, leaf size, and seed mass; a leaf economics spectrum reflecting slow to fast r...
S-EPMC11876319 | biostudies-literature
UnknownSpecies Distribution Modelling: Contrasting presence-only models with plot abundance data.
Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs....
S-EPMC5772443 | biostudies-literature
UnknownBiased-corrected richness estimates for the Amazonian tree flora.
Amazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show th...
S-EPMC7311553 | biostudies-literature
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