Sentence examples for disaggregation for from inspiring English sources
This technique, called FFPE-DISSECT (disaggregation for intracellular signaling in single epithelial cells from tissue), is a single-cell approach to characterizing signaling states in embedded tissue samples.
Professional groups such as demographers have already identified some issues with this approach (IUSSP 2015), noting the difficulties of disaggregation for demographic indicators which require substantial population sizes in order to identify significant trends and changes.
Under higher KE, the effective ultimate ratios were much closer to 1, indicating that sediments were more likely transported as primary particles at higher KE owing to an increased severity of aggregate disaggregation for the clay loam soil.
HIV incidence estimates by sex and age group are important for validating the cBED assay method as an approach to measure HIV incidence [7], and are an important disaggregation for health policy and planning, e.g. in order to inform the targeting of HIV prevention interventions.
Thank you for sending your work entitled "Head-to-tail interactions of the coiled-coil domains regulate ClpB cooperation with Hsp70 in protein disaggregation" for consideration at eLife.
When ADM exposure was prolonged beyond 1 h, however, delaying spheroid disaggregation for 24 h led to increased cell kill and reduced differential between the two conditions of exposure.
The methodology is applied for the disaggregation of generic vulnerability curves for the Caribbean Island of Puerto Rico.
The gravity model is distinguished by its good fit and its parsimonious and tractable representation of economic interactions among many countries, also allowing for disaggregation of the trade in different levels of geographical organization and product classification (Anderson 2011).
The event-based approach, which calculates hazard curves of annual probability of exceedance versus volcanic ash load at individual sites also allows for disaggregation of the hazard results (e.g. by magnitude, distance or source).
We designed a series of experiments for disaggregation of LST DLSTT) derived from the Landsat ETM + thermal band using narrowband reflectance information derived from the EO1-Hyperion hyperspectral sensor and selected regression algorithms over three geographic locations with different climate and land use land cover (LULC) characteristics.
In addition, the sometimes small sample sizes do not allow for disaggregation of HRH indicators at the subnational level.
