Results 141 to 150 of about 83,130 (282)

An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)

open access: yesTAXON, EarlyView.
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

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

open access: yesTAXON, EarlyView.
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

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
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

Monitoring active osprey nests with drones is more time efficient and less disturbing than conventional methods

open access: yesWildlife Biology, EarlyView.
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

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Correlation Between Evaporation Dynamics and Self‐Healing Characteristics in Metallised Polypropylene Films

open access: yesHigh Voltage, EarlyView.
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

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