Results 191 to 200 of about 7,430 (267)

Rapid Determination of Association Constants using Routine Plate Reader Measurements

open access: yesAnalysis &Sensing, EarlyView.
A high‐throughput plate reader method enables rapid, accurate determination of host–guest binding constants and limits of detection using standard laboratory equipment. The approach is validated across diverse systems and supports machine learning regression, offering a robust analytical tool for supramolecular sensing and quantitative analysis. Though
Austin R. Sartori   +4 more
wiley   +1 more source

Trends in U.S. National Institutes of Health Funding for CHARGE Syndrome Research, 2000 to 2024

open access: yes
American Journal of Medical Genetics Part A, EarlyView.
Muhammad Othman   +2 more
wiley   +1 more source

Predicting ecology and hearing sensitivities in Parapontoporia—An extinct long‐snouted dolphin

open access: yesThe Anatomical Record, EarlyView.
Abstract Analyses of the cetacean (whale and dolphin) inner ear provide glimpses into the ecology and evolution of extinct and extant groups. The paleoecology of the long‐snouted odontocete (toothed whale) group, Parapontoporia, is primarily marine with its depositional context also suggesting freshwater tolerance.
Joyce Sanks, Rachel Racicot
wiley   +1 more source

Small fish, large variation: Morphological diversity of Weberian apparatus in Noturus catfishes and ecological implications

open access: yesThe Anatomical Record, EarlyView.
Abstract The Weberian apparatus is a hearing specialization unique to the otophysan fishes, and an unexpected degree of morphological variation exists in species of the Noturus catfishes. Our aim in this study is to investigate relationships between morphological variations and ecology that may drive this variation.
J. C. Hoeflich, Juan Liu
wiley   +1 more source

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

open access: yesThe Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee   +3 more
wiley   +1 more source

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