Structured by the explanatory models [EM] of Illness framework, this analysis delineates the EMs of diabetes in this community.
Subsequent image analysis delineates the reflectance spectral response of the sample elements in each nanoscale pixel of the image file.
Computational biomechanical analysis delineates the relationship between geometric confinement and cell-matrix mechanical interaction.
Furthermore, our analysis delineates the conditions allowing long term HEG persistence.
Frequency-domain analysis delineates the heart rate signal into its frequency components and quantifies them in terms of their relative intensity or power.
Phylogenetic analysis delineates four subfamilies: the OTUB subfamily/Otubains (OTUB1 and OTUB2), the OTUD subfamily (OTUD1, OTUD2/YOD1, OTUD3, OTUD4, OTUD5/DUBA, OTUD6A, OTUD6B, ALG13, and HIN1L), the A20-like subfamily (A20, Cezanne, Cezanne2, TRABID, and VCPIP), and the OTULIN subfamily (OTULIN and FAM105A).
The combined detection of CD19, CD27 and IgD (or IgM) by flow cytometry (FC) analysis delineates five well-defined blood B cell-subsets: naive, switched (S) memory, double negative (DN) memory and CD27 IgD IgM (non-switched memory) B lymphocytes, and plasma cells (PCs).
This analysis delineates potential oak decline sites and establishes risk ratings for these areas.
Our analysis delineates residues that are highly specific to each GGT subfamily.
Conditional cumulative distribution functions and regression tree analysis delineate the seasonal varying flood processes and indicate that the effect of the hydrological pre-conditions, i.e. soil moisture patterns, and of the meteorological conditions, i.e. weather patterns, depends on the considered flood characteristic.
