The phylum Heterolobosea Page and Blanton, 1985 is a group of eukaryotes that contains heterotrophic flagellates, amoebae, and amoeboflagellates, including the infamous brain-eating amoeba Naegleria fowleri. In this study, we investigate the deep evolutionary history of Heterolobosea by generating and analyzing transcriptome data from 16 diverse isolates and combine this with previously published data in a comprehensive phylogenomic analysis. This dataset has representation of all but one of the major lineages classified here as orders.
View Article and Find Full Text PDFPurpose: In this study, we evaluated serial changes in shoulder muscle volume and computed tomography (CT) density of the transverse force couple (i.e., subscapularis (Ssc) vs.
View Article and Find Full Text PDFSparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses the ℓ1 norm regularization term, and other methods that use nonconvex regularization terms. Most of these methods approximate the ℓ0 (pseudo) norm by more tractable functions; however, to estimate more accurate solutions, it is preferable to directly use the ℓ0 norm for counting the number of nonzero elements.
View Article and Find Full Text PDFGen Thorac Cardiovasc Surg
November 2024
Objective: Mucin-producing adenocarcinoma is a less common variant of lung adenocarcinoma. Adenocarcinoma cells with mucin can spread through the airspace via mucus-mediated extension, leading to their implantation in distant normal lungs. Consequently, post-operative intrapulmonary recurrence frequently occurs.
View Article and Find Full Text PDFUltrafast electron diffraction/microscopy technique enables us to investigate the nonequilibrium dynamics of crystal structures in the femtosecond-nanosecond time domain. However, the electron diffraction intensities are in general extremely sensitive to the excitation errors (i.e.
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