Results 81 to 90 of about 129,335 (167)
Enterobacteriaceae that produce extended-spectrum β-lactamases (ESBLs) can result in severe human infections, contributing to the development of complex diseases.
Nasrin Akter Liza +9 more
doaj +1 more source
Background/Objectives: We conducted this study to evaluate the genotypic and phenotypic profiles of carbapenem-resistant Klebsiella pneumoniae (CRKP) isolates, exhibiting resistance to cefiderocol (FDC), focusing on antibiotic susceptibility, β-lactamase
Branka Bedenić +9 more
doaj +1 more source
Single-particle tracking (SPT) is an immensely valuable technique for studying a variety of processes in the life sciences and physics. It can help researchers better understand the positions, paths, and interactions of single objects in systems that are
Mingchuan Huang +6 more
doaj +1 more source
Determination of the pore size distribution by double diffusion encoding
Koch Martin, Ulloa Patricia
openaire +1 more source
Time-dependent diffusion MRI enables the estimation of water exchange rates in vivo, yet reported values in grey matter remain inconsistent. While most studies attribute these estimates to membrane permeability, non-permeative geometric exchange has also been proposed.
Chakwizira, Arthur +4 more
openaire +2 more sources
Abstract Double diffusion encoding (DDE) makes diffusion MRI sensitive to a wide range of microstructural features, and the acquired data can be analysed using different approaches. Correlation tensor imaging (CTI) uses DDE to resolve three components of the diffusional kurtosis: isotropic, anisotropic, and microscopic. The microscopic kurtosis
Arthur Chakwizira +2 more
openaire +1 more source
Characterization of Brain White Matter Tissue Structure with Double-Diffusion-Encoded MRI
Yasar, Goedecke, J�rgen, Finsterbusch
openaire +1 more source
Frequency-Dependent Diffusion-Relaxation Distribution MRI: Scan-Rescan Reproducibility Ex Vivo and Caveats. [PDF]
Or PSK +7 more
europepmc +1 more source
Temporal influence maximization via continuous-time graph neural networks and deep reinforcement learning. [PDF]
Wang Y +3 more
europepmc +1 more source

