Results 41 to 50 of about 132 (111)
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
Brain‐Wide Mapping and Synaptic Localization of C1QL3 Using a Novel Epitope‐Tagged Knock‐In Mouse
C1QL3 is a secreted adhesion molecule that acts as a key regulator of synaptic structure and function. We generated and validated a novel epitope‐tagged knock‐in mouse line (C1ql32HA) in which two hemagglutinin (HA) epitopes were inserted near the N‐terminus of the endogenous C1QL3 protein.
William P. Armstrong IV +12 more
wiley +1 more source
Mitigation of Rotating Vortex Rope in a Hydro Turbine using a Guide Vane System
Using renewable energy, such as water or wind, to produce electricity has been proven highly effective in Sweden. The ability of these renewable resources to make clean output energy counters the adversities caused by non-renewable resources. Amongst these, hydro turbines are one of the most preferred methods for generating electricity from water ...
openaire +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
Impact of Iridium Crucible Aging on Cz‐YAG Crystal Quality and Process Economy: A Data‐Driven Study
Machine learning models trained on CFD‐generated data reveal how iridium crucible aging influences key Czochralski YAG crystal growth outcomes. Interpretable analyses uncover the dominant role of iridium loss and its interactions with process variables, enabling accurate prediction of heating power, interface shape, and the ratio of growth rate to ...
Natasha Dropka +4 more
wiley +1 more source
ABSTRACT Background Despite the extensive research on skill assessment in minimally invasive surgery, applications in open surgery (OS) remain limited. Methods Twenty trainees performed three OS tasks—knot tying (KT), continuous suturing (CS), and interrupted suturing (IS)—yielding 201 trials.
Constantinos Loukas +4 more
wiley +1 more source
Abstract Cosmic rays (CRs) are energetic particles originating from galactic and extragalactic sources. When arriving into the solar system and the Sun's heliosphere, they are diverted and modulated by the magnetic activity of the Sun. This modulation can be quantified by the modulation parameter ϕ $\phi $ determined with the Force‐field approximation (
Pauli Väisänen +5 more
wiley +1 more source
Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Abstract On 10 May 2024, Earth was hit by a CME that drove the largest geomagnetic storm in 20 years. Multi‐spacecraft observations previously showed that the ∼100 nT north‐south IMF bz ${b}_{z}$ variation was driven by Kelvin‐Helmholtz waves with wavelength ∼250 RE ${R}_{E}$ and reconnection jets in the ±z $\pm z$‐direction (Nykyri, 2024a, https://doi.
Katariina Nykyri +17 more
wiley +1 more source
Optical skipping rope induced transverse OAM for particle orbital motion parallel to the optical axis. [PDF]
Zhu L +5 more
europepmc +1 more source

