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Deep Learning for Perfusion Cerebral Blood Flow (CBF) and Volume (CBV) Predictions and DiagnosticsNARA Subscribed
Dynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) is a non-invasive imaging technique for hemodynamic measurements. Various perfusion parameters, such as cerebral blood volume (CBV) and cerebral blood flow (CBF), can be derived from DSC-MRP, hence this non-invasive imaging protocol is widely used clinically for the diagnosis and assessment of intracranial pathologies. Currently, most institutions use comme...
The global decline of terrestrial species is largely due to the degradation, loss and fragmentation of their habitats. The conversion of natural ecosystems for cropland, rangeland, forest products and human infrastructure are the primary causes of habitat deterioration. Due to the paucity of data on the past distribution of species and the scarcity of fine‐scale habitat conversion maps, however, accurate assessment of the rece...
Expert range maps of global mammal distributions harmonised to three taxonomic authoritiesNARA Subscribed
Aim Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal spec...
Towards Geostatistical Learning for the Geosciences: A Case Study in Improving the Spatial Awareness of Spectral ClusteringNARA Subscribed
The particularities of geosystems and geoscience data must be understood before any development or implementation of statistical learning algorithms. Without such knowledge, the predictions and inferences may not be accurate and physically consistent. Accuracy, transparency and interpretability, credibility, and physical realism are minimum criteria for statistical learning algorithms when applied to the geosciences. This stud...
Colour vision varies within the family Atelidae (Primates, Platyrrhini), which consists of four genera with the following cladistic relationship: { Alouatta [ Ateles ( Lagothrix and Brachyteles )]}. Spider monkeys ( Ateles ) and woolly monkeys ( Lagothrix ) are characteristic of platyrrhine monkeys in possessing a colour vision polymorphism. The polymorphism results from allelic variation of the single‐locus middle‐to‐long wav...
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