Results 281 to 290 of about 296,963 (389)

Time-resolved sensing of electromagnetic fields with single-electron interferometry. [PDF]

open access: yesNat Nanotechnol
Bartolomei H   +12 more
europepmc   +1 more source

Trace Element Levels in Canine Tear Film

open access: yesVeterinary Ophthalmology, EarlyView.
ABSTRACT Objective To evaluate the levels of trace elements in the tear film of healthy dogs. Animals Studied Twenty‐five healthy Labrador retrievers. Procedures Tear samples were collected from the ventral conjunctival fornix of each dog using a Schirmer tear test strip. Elemental analysis was conducted using the particle‐induced X‐ray emission (PIXE)
Oren Pe'er   +5 more
wiley   +1 more source

Controlling the wavefront aberration of a large-aperture and high-precision holographic diffraction grating. [PDF]

open access: yesLight Sci Appl
Li W   +11 more
europepmc   +1 more source

The Once and Future Hydrology Is Whole Earth Hydrology

open access: yesPerspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract We here argue for a new paradigm to advance pursuit of truth in global freshwater science. Our proposed Whole Earth Hydrology is hydrology that is explicitly empirical and discovery‐based, grounded in primary data, detailed at scale, and incorporates humans as essential.
Colin J. Gleason, Casey M. Brown
wiley   +1 more source

A History of UNAVCO: Four Decades of Advancing Geodesy

open access: yesPerspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract UNAVCO was a university‐governed consortium funded by the National Science Foundation (NSF), with support from the National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS), to support geoscience research and education using geodesy.
Emily E. Zawacki   +4 more
wiley   +1 more source

PCANN Program for Structure‐Based Prediction of Protein–Protein Binding Affinity: Comparison With Other Neural‐Network Predictors

open access: yesProteins: Structure, Function, and Bioinformatics, Volume 93, Issue 9, Page 1498-1506, September 2025.
ABSTRACT In this communication, we introduce a new structure‐based affinity predictor for protein–protein complexes. This predictor, dubbed PCANN (Protein Complex Affinity by Neural Network), uses the ESM‐2 language model to encode the information about protein binding interfaces and graph attention network (GAT) to parlay this information into Kd ...
Olga O. Lebedenko   +3 more
wiley   +1 more source

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