Sentence examples for characterize within from inspiring English sources

These factors make passive system operation difficult to characterize within a traditional probabilistic framework that only recognizes discrete operating modes and does not allow for the explicit consideration of time-dependent boundary conditions.

As such, two-state protein thermodynamics can be captured because the constraint counting errors self-average out in each state, while stark differences between the folded and unfolded states are easy to characterize within MCC.

Consequently, there is a need for inexpensive monitoring methods that can characterize within a much shorter time period than current practice the threats posed by waterborne noxious organisms found in fresh or marine water.

Ultimately, this will allow us for the first time to characterize, within an individual, youth intelligence to older age-related cognitive change and the underlying macroscopic and microscopic alterations within the cells and synapses of the brain at post-mortem.

The objective of this study was to characterize within-person three-year variability of plasma levels of sRAGE.

The experimental design aimed to characterize within-day, across-day, and long term changes in MPB production.

To better characterize within-person change in headache days we analyzed longitudinal data from the Chronic Migraine Epidemiology and Outcomes (CaMEO) Study [8].

Geospatial measurements of apparent soil electrical conductivity (ECa) are the most reliable and frequently used measurements to characterize within-field variability of edaphic properties for application to SSM.

Similarly, in order to reliably characterize within-person changes across occasions, at least 3 days of data collection were needed for mean cortisol and AUC and 5 8 days for slope.

Therefore, the objectives of this study were to characterize within-ditch nutrient pools and processes as a function of drainage duration: recent (7 15 years), medium (20 34 years), and long-term (36 50 years).

It will also enhance our ability to characterize within-community spatial variability in our exposure prediction models.