Publications by authors named "M A L Ribeiro"

Fires are increasingly affecting tropical biomes, where landscape-fire interactions remain understudied. We investigate the fire-proneness-the likelihood of a land use or land cover (LULC) type burning more or less than expected based on availability-in the Brazilian Atlantic Forest (AF). This biodiversity hotspot is increasingly affected by fires due to human activities and climate change.

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Accurate calibration of finite element (FE) models is essential across various biomechanical applications, including human intervertebral discs (IVDs), to ensure their reliability and use in diagnosing and planning treatments. However, traditional calibration methods are computationally intensive, requiring iterative, derivative-free optimization algorithms that often take days to converge. This study addresses these challenges by introducing a novel, efficient, and effective calibration method demonstrated on a human L4-L5 IVD FE model as a case study using a neural network (NN) surrogate.

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Individual movements of bats are triggered by their life requirements, limited by their recognition of the environment and risks of moving, and mediated by habitat selection. Mining adds fragmentation and heterogeneity to landscapes, with poorly understood consequences to the life activities of the bats. Cave dwelling bats spend most of their life cycles within caves, and as they constantly forage in external landscapes, their contribution in the input of organic matter to the caves is of paramount importance to the subterranean biodiversity.

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Purpose: Triple-negative breast cancer (TNBC) accounts for 20% of all breast cancer cases and is notably resistant to radiotherapy (RT). Photodynamic therapy (PDT) using porphyrins or their derivatives has shown promise as a potential cancer treatment and immune activator. This study evaluated the effects of combining PDT and RT in sublethal conditions for TNBC using in vitro and in vivo models.

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