Results 141 to 150 of about 83,130 (282)
An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)
Abstract The boundaries of the family Catillariaceae have largely remained untested through phylogenetic methods. Recent studies have led to the transfer of several genera previously classified in Catillariaceae to the newly described family Leprocaulaceae. Despite these changes, the distinction between Catillariaceae, Leprocaulaceae, and Catinariaceae
Måns Svensson +2 more
wiley +1 more source
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source
Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito +5 more
wiley +1 more source
A Fourier-Jacobi Dirichlet series for cusp forms on orthogonal groups. [PDF]
Psyroukis R.
europepmc +1 more source
Drones are used to monitor bird nesting sites at less accessible locations, such as on cliffs, human infrastructure, or within the tree canopy. While there are a growing number of studies documenting avian behavioral responses to various drones, there is a continued need to monitor taxa‐specific responses to different drone models. We explored both the
Natasha K. Murphy +4 more
wiley +1 more source
Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]
Zimmermann P.
europepmc +1 more source
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley +1 more source
Ramanujan's partition generating functions modulo ℓ. [PDF]
Bringmann K, Craig W, Ono K.
europepmc +1 more source
ABSTRACT The morphology and structure of electrodes play a pivotal role in determining the self‐healing performance and current‐carrying capacity of metallised biaxially oriented polypropylene (BOPP) films. An experimental setup replicating the industrial vacuum evaporation process and a custom‐designed self‐healing testing platform were specifically ...
Zhi‐Yuan Wu +6 more
wiley +1 more source
Positivity-Preserving Hybridizable Discontinuous Galerkin Scheme for Solving PNP Model. [PDF]
Morales D, Xu Z.
europepmc +1 more source

