Results 91 to 100 of about 4,564 (243)
Methods in Ecology and Evolution, EarlyView.Abstract Long‐read amplicon sequencing is now routine for fungal metabarcoding, and locating the internal transcribed spacer (ITS) subregions within reads has become a throughput bottleneck. Existing extractors were designed for shorter reads and for datasets in which near‐identical sequences are common, and neither assumption holds for Oxford Nanopore
Aaron O'Brien +4 more
wiley +1 more source
Animal Conservation, EarlyView.In an urban‐adjacent forested area, we investigated the spatial and temporal distribution of the wild mammal community in relation to day‐to‐day fluctuations of human presence occurring between working days and weekends. We deployed 52 camera‐traps systematically within an EU Natura 2000 area located within the metropolitan area of Florence, central ...
Ilaria Greco +6 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source
Robo‐Saber: Generating and Simulating Virtual Reality Players
Computer Graphics Forum, EarlyView.Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source
Edge‐preserving noise for diffusion models
Computer Graphics Forum, EarlyView.Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden +3 more
wiley +1 more source
Survey on Compositional 3D Indoor Scene Generation
Computer Graphics Forum, EarlyView.This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source
Semispectral Measures and Feller markov Kernels
, 2012 We give a characterization of commutative semispectral measures by means of Feller and Strong Feller Markov kernels. In particular: {itemize} we show that a semispectral measure $F$ is commutative if and only if there exist a self-adjoint operator $A$ and a Markov kernel $μ_{(\cdot)}(\cdot):Γ\times\mathcal{B}(\mathbb{R})\to[0,1]$, $Γ\subsetσ(A)$, $E(Γ)=
openaire +2 more sources
Contrasting Food Web Dynamics Across Oceanographic Boundaries in Subarctic Pelagic Ecosystems
Fisheries Oceanography, EarlyView.ABSTRACT Understanding the structure of pelagic food webs across multiple trophic levels is critical for elucidating species interactions, energy flow, and anthropogenic impacts on production. This study presents a comprehensive analysis of the eastern North Pacific pelagic food webs, focusing on the Gulf of Alaska (GoA) during late winter of 2019.
Genyffer C. Troina +3 more
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
International Finance, EarlyView.ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source