Results 231 to 240 of about 1,058,127 (374)
JWST interferometric imaging reveals the dusty torus obscuring the supermassive black hole of Circinus galaxy. [PDF]
Lopez-Rodriguez E +8 more
europepmc +1 more source
ABSTRACT Purpose: Low‐power (LP) chemical exchange saturation transfer (CEST) Z‐spectra have significantly reduced confounding effects and enhanced peak resolvability, thereby improving the observation and quantification of various CEST effects. However, LP Z‐spectra suffer greatly from reduced contrast‐to‐noise ratio (CNR).
Yashwant Kurmi +6 more
wiley +1 more source
Brain Pulsation Imaging Using Non‐Balanced Steady‐State Free Precession With 3D‐EPI Readout
ABSTRACT Purpose To present a new, fast MR imaging method for visualization and quantification of pulsatile displacement in brain tissue and fluid. Methods The natural phase‐contrast of non‐balanced steady‐state free precession combined with careful tuning of the intrinsic spoiler gradients is harnessed to measure displacement along specific physical ...
Pål Erik Goa +3 more
wiley +1 more source
Scientific instrumentation of the Radio-Astronomy-Explorer-2 satellite
J. K. Alexander +4 more
openalex +1 more source
Breaking the I/O Bottleneck at the National Radio Astronomy Observatory (NRAO)
John F. Karpovich +2 more
openalex +1 more source
Large language models for bioinformatics
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan +54 more
wiley +1 more source
Tracing the heliospheric magnetic field via anisotropic radio-wave scattering. [PDF]
Clarkson DL +6 more
europepmc +1 more source
Phased-Array-Fed Reflector Antenna Systems for Radio Astronomy and Earth Observations
Oleg Iupikov
openalex +1 more source
Generating Stable and Metastable Critical Points in Uncertain Systems via Flow‐Based Models
ABSTRACT This work proposes the use of conditional flow‐based generative models to learn an approximation of the distribution of the critical points of a cost function. This approximation is used to incrementally identify all critical points, in the feasible domain of said function, by iteratively alternating the sampling of the distribution and the ...
Callum Wilson, Massimiliano Vasile
wiley +1 more source

