Your English writing platform
Discover LudwigExact(6)
Endocardial area tracings, using the leading edge method, were performed in 2D mode (short and long axis views) from digital images captured on cineloop to calculate end-diastolic and end-systolic LV areas.
Endocardial area tracings using the leading edge method were performed in 2D mode (short and long axis views) from digital images captured on cineloop to calculate end-diastolic and end-systolic left ventricular (LV) areas.
Cardiac dimensions were obtained from 2-D guided M-mode images (100 frames/sec) and were read blinded using short axis and a parasternal long-axis views with the leading edge method.
Diastolic measurements were performed at the point of greatest cavity dimension, and systolic measurements were made at the point of minimal cavity dimension, using the leading edge method of the American Society of Echocardiography (http://www.asefiles.org/ChamberQuantification.pdf).
M-mode measurements of LV internal dimensions (LVID) are determined at the plane bisecting the papillary muscles according to the American Society of Echocardiography leading edge method on 5 heart beats chosen at random by each observer.
After good visualization, left ventricular end-diastolic dimension (LVDD), left ventricular end-systolic dimension (LVSD) and interventricular septal thickness in diastole (IVSD) and in systole (IVSS) were measured by the leading edge method [ 13].
Similar(54)
We used the wave diameter and leading edge methods and measured the CME heights for a set of 32 metric type II bursts from solar cycle 24.
LV cavity and posterior wall were measured in millimetre by the trailing edge-leading edge method.
We tested each of the above pathway-based classification methods in this procedure, including the leading edge gene (GLEG) method and the pathway based biomarker (GPF) method.
GSEA: Gene set enrichment analysis; SVM: Support vector machine; TCGA: The Cancer Genome Atlas GLEGGSEA-basedsed leading edge gene feature method; GPF: GSEA-based pathway feature method; SPF: SVM-based pathway feature method; RPF: Randomly selected pathway feature method; SKG: Single KEGG pathway gene method; SG: All single gene method.
A simple and practical polynomial-based turbomachinery profile leading edge geometry design method is proposed in this paper.
Write better and faster with AI suggestions while staying true to your unique style.
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