Results 81 to 90 of about 2,220 (199)
ABSTRACT Understanding insect responses to global climate change involves identifying strategies used during past climate oscillations. Phylogeography offers a powerful framework to unravel how historical climatic and geological events have shaped the spatial genetic patterns of species, providing critical insights into evolutionary processes, whereas ...
Jody H. Voges +12 more
wiley +1 more source
Utility of local capillary supply indices: Insights from computational image‐based modelling
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari +6 more
wiley +1 more source
With the availability of the third civil signal in the Global Positioning System, triple-frequency Precise Point Positioning ambiguity resolution methods have drawn increasing attention due to significantly reduced convergence time.
Fei Liu, Yang Gao
doaj +1 more source
Rapid Free‐Breathing and Automated 2D Shimming of the Lung at 3T
ABSTRACT Purpose To develop and validate a rapid, fully automated method for shimming of the lung. Methods For field mapping of the lung, a custom 2D RF spoiled gradient echo sequence was used offering sub‐millisecond echo times. At 3T, four echo‐shifted coronal images were acquired with a minimum TE of 0.57 ms and an inter‐echo spacing of 0.1 ms ...
Pavlos Panos +2 more
wiley +1 more source
We curate laccase‐substrate datasets and train five classifiers, from regularized logistic regression to tree‐based models and ChemBERTa, to predict whether a substrate will be oxidized. Feature importance and attention maps projected onto molecular substructures make the predictions interpretable and useful for pre‐screening before the bench ...
Yulia Kulagina +3 more
wiley +1 more source
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang +7 more
wiley +1 more source
This study innovatively incorporates facility service capacity, dynamic energy consumption constraints and multi‐objective Pareto frontiers into a unified optimization framework by constructing a three‐dimensional coupled decision space, and uses an improved column generation algorithm to break through the bottleneck of mixed integer programming ...
Guiquan Jiang
wiley +1 more source
Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy +4 more
wiley +1 more source
Precise Point Positioning Integer Ambiguity Resolution with Decoupled Clocks
Precise Point Positioning (PPP) integer ambiguity resolution has been a challenging topic during the past five years. So far, three PPP integer ambiguity resolution methods – the singledifference between satellites method, the decoupled clock model and the integer phase clock model – have been developed. By using integer ambiguity resolution in PPP, cm-
openaire +2 more sources
A Digital Phantom for MR Spectroscopy Data Simulation
ABSTRACT Purpose Simulated data is increasingly valued by researchers for validating MRS processing and analysis algorithms. However, there is no consensus on the optimal approaches for simulation models and parameters. This study introduces a novel MRS digital brain phantom framework, providing a comprehensive and modular foundation for MRS data ...
D. M. J. van de Sande +11 more
wiley +1 more source

