Results 201 to 210 of about 237,242 (260)

Beyond the next step: A multi‐criteria generative validation framework for step selection functions

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Step‐selection functions (SSFs), typically fitted using step‐selection analysis (SSA) or integrated step‐selection analysis (iSSA) are widely used to infer habitat selection and movement kernels from high‐frequency telemetry data, but most standard validation tools focus on one‐step‐ahead prediction and do not guarantee that fitted models ...
Aurélien Nicosia
wiley   +1 more source

Effects of applying Trichoderma asperellum to rice (Oryza sativa) on phytobiome and plant responses

open access: yesAnnals of Applied Biology, EarlyView.
We investigated the effect of dipping at transplanting or post‐transplanting spray application on the root‐associated microbiome or leaf epiphytes via amplicon sequencing, and on plant responses via RNA‐seq. Both root dipping and foliar application with Trichoderma asperellum spore suspension only had a limited impact on the leaf epiphytes and root ...
Greg Deakin   +4 more
wiley   +1 more source

FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections

open access: yesComputer Graphics Forum, EarlyView.
FluidMap faithfully represents the frequency of an attribute and preserves spatial consistency. Current space‐filling methods over‐ or under‐represent attribute categories (i.e., all Voronoi‐based methods), sacrifice spatial consistency (i.e., Nmap) or both (i.e., Voronoi‐MWα).
Daniela Blumberg   +5 more
wiley   +1 more source

Galaxy Evolution with Manifold Learning. [PDF]

open access: yesEntropy (Basel)
Takeuchi TT, Cooray S, Kano RR.
europepmc   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier   +5 more
wiley   +1 more source

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