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The main objective of this work was to develop a methodological framework based on X-ray CT scanning to predict the spatio-temporal evolution of the hydraulic properties of a soil under drainage conditions.
When we are scanning to predict the role of Grx5, we define an auxiliary first-order reaction for Grx5 consumption.
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The study purpose was to investigate the ability of Emergency Department CT scan to predict the need for operative intervention in patients hospitalized for small bowel obstruction (SBO) likely secondary to adhesions (ASBO) and initially managed nonoperatively.
The methodological framework combines the particle size distribution of a soil and the fractal dimension of its porosity obtained from X-ray CT scans to predict the saturated hydraulic conductivity and volumetric deformation of a soil column.
In brief, each DNA sequence is scanned to predict the pool of valid ORFs, which in turn are translated to constitute an ORFeome.
In the second case the DNA sequence is scanned to predict the entire set of valid ORFs, defined as the DNA segments occurring between two stop codons and exceeding 100 nucleotides, with no further assumption about the presence or not of coding sequences.
To date, there is conflicted evidence regarding the use of 18F-FDG PET scanning to predict aneurysm rupture and growth.
There have been attempts to use shoe size, x-rays and scanning technology to predict the phenomenon, but these have been largely unsuccessful, demonstrating that pelvis size isn't in itself a useful predictor of a difficult birth.
Interestingly, several prediction algorithms (miRBASE, miRANDA and target scan) failed to predict the binding of miR-886-3p miR-886-3p miR-886-3p3'sUTR of CXCL12.
The NAC was then used to fit and predict phase volumes obtained from salinity phase scans, and to predict the solubilisation features of ternary phase diagrams of the lecithin-linker formulations.
The aim of this study was to evaluate the ability of a visual radiological scale compared with lung CT scan analysis to predict the lung recruitability in ALI/ARDS patients.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com