Sentence examples for for characterizing changes in from inspiring English sources
Together, these findings demonstrate that cartilage MR imaging and synovial fluid biomarkers provide powerful non-invasive tools for characterizing changes in the biochemical and biomechanical environments of the joint.
The motivation for developing a method for characterizing changes in FDG-PET scans at the voxel level comes from the fact that probing tumor heterogeneity, as well as changes in that heterogeneity over time, is gaining prominence as a research topic [16].
The rabbit is useful for characterizing changes in pulmonary function parameters seen in the acute byssinotic reaction.
The initial microinventory should be updated periodically in Queens and at other NCS locations, during household visits, to provide a basis for characterizing changes in long-term exposure.
We developed a maximum likelihood method for characterizing changes in the distribution of a trait, allowing for the detection of different types of selection.
Thus the depth dependent directionality (F/B), the attenuation measurements, bulk optical parameters, and corresponding simulations represent a versatile means for characterizing changes in tissue structure occurring in diseases in which collagen alterations occur.
A technique for rigorously characterizing changes in mixed populations of cells, microarray expression deconvolution, has been applied to several areas of biology but not to SLE or to blood.
By obtaining net scores for five consecutive blocks we aimed at characterizing changes in IGT performance and strategy over time (Brand et al., 2007; Li et al., 2010).
It criticized the agencies for failing "to clearly characterize changes in Iraq's threat to regional stability and security, taking account of the fact that its conventional military forces steadily degraded after 1990".
We use GlobeLand30 a global land cover dataset with a 30 m resolution for the years 2000 and 2010 and characterize changes in TA and NP for each county as increase, stable, or decrease.
We created 12 kernel maps adjusted for population at risk to characterize changes in disease hot spots on 12 prototypical days over 16 weeks in a chronologic sequence.
