Results 241 to 250 of about 111,551 (360)
ABSTRACT Purpose This work proposes a method for the simultaneous estimation of the exchange‐dependent relaxation rate Rex$$ {R}_{ex} $$ and the longitudinal relaxation time T1$$ {T}_1 $$ from a single acquisition. Methods A novel acquisition scheme was developed that combines CEST saturation with an inversion pulse and a Look‐Locker readout to capture
Markus Huemer +6 more
wiley +1 more source
Numerical Analysis of Mask-Based Phase Reconstruction in Phaseless Spherical Near-Field Antenna Measurements. [PDF]
Guth AA +3 more
europepmc +1 more source
MEXT: A Parameter-Free Oversampling Approach for Multi-Class Imbalanced Datasets [PDF]
Chittima Chiamanusorn +1 more
openalex +1 more source
Abstract Purpose The aim was to improve the sensitivity and robustness against B0 inhomogeneities of deuterium metabolic imaging (DMI) using phase‐cycled balanced SSFP (bSSFP) methods at 9.4 T. Methods We investigated two variants of phase‐cycled bSSFP acquisitions, namely uniformly weighted multi‐echo and acquisition‐weighted chemical shift imaging ...
Praveen Iyyappan Valsala +8 more
wiley +1 more source
ABSTRACT This study presents a numerical investigation of passive scalar mixing in homogeneous isotropic turbulence (HIT). Different volumetric forcing schemes have been used in the literature, but the side effects are rarely discussed, either because these are assumed irrelevant or because it is too costly to conduct such an analysis with a high ...
Abhishek Joshi +2 more
wiley +1 more source
Adaptive Sampling Framework for Imbalanced DDoS Traffic Classification. [PDF]
Kim H, Ham D, Moon KS.
europepmc +1 more source
ABSTRACT Although parenting is critical to children's emotional development, broader family processes can also play an important role in the development of anxiety and depressive symptoms in children. The current study examined the influence of early family strains (i.e., chronic stressors and resource deficits) on children's trajectories of anxiety ...
Marla Lopez +5 more
wiley +1 more source
GeoGenIE: a deep learning approach to predict geographic provenance of biodiversity samples from genomic SNPs. [PDF]
Martin BT +4 more
europepmc +1 more source
Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun +1 more
wiley +1 more source

