Results 251 to 260 of about 388,600 (356)

Mechanism of Solid Solution‐Driven Texture Induced by Ag Doping in YBCO Superconductor

open access: yesAdvanced Science, EarlyView.
Ag‐doped YBCO with a designed concentration gradient is produced by dual‐material co‐extrusion and freeze‐drying. During annealing, Ag+ ions diffuse into Y123, substituting for Cu(1) and inducing c‐axis relaxation. This leads to the formation of [001]‐oriented YBCAO, creating a coherent interface that templates the textured growth of Y123. Consequently,
Fenyan Zhao   +4 more
wiley   +1 more source

A model food mimicking plant-based meat analogues for determination of matrix effects on growth of Listeria monocytogenes

open access: hybrid
Paulo de Boer   +4 more
openalex   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

open access: yesAdvanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed   +10 more
wiley   +1 more source

Maize Anther Development Involves Translated Open Reading Frames From 3′ Untranslated Regions

open access: yesAdvanced Science, EarlyView.
This study examined the translation activity across ten stages of maize anther development, integrating transcriptome and small‐peptide data. It linked mutations in translated 3' ORFs to anther sterility, exemplified by Zm00001eb417050_3' ORF (known as APV1). In addition, the data indicated that maize anthers could assimilate CO2 through the stomata in
Chunyu Wang   +8 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy