This study was performed with a population based perspective in order to identify regional differences in the per capita utilization of health related resources as a function of type of hospital reimbursement.
We then monitored various stability related parameters as a function of time, i.e., loss in monomer concentration (by SEC-HPLC), residual specific activity of soluble α-CT, formation of buffer-insoluble aggregates, tertiary structure intactness of soluble α-CT (by CD spectroscopy), and structural dynamics (by FTIR H/D exchange).
Notice that all four correlations (Equations 1 to 4) were developed to relate viscosity as a function of volume percentage only.
This approach focuses on relating crashes as a function of potential variables such as road characteristics, traffic level, and weather factors using historical records [1, 2, 3, 4, 5] and subsequently uses these models to identify relatively high-risk sections.
However, the experimentally measured nanofluids viscosities deviate from the classical model because these models relate viscosity as a function of volume concentration only and there is no consideration of temperature dependence and particle aggregation [77].
Equation (6) relates application mean response time R a as a function of its workload scenario W a and the resources allocated to all tiers n ∈ {1,… N a } of application a for all resource allocation intervals t ∈ {1,…T}.
b The related transmission coefficient as a function of energy.
Fig. 1 Numbers of articles related to MATV as a function of the year of publication.
While evidence to date suggests that number of chronic conditions is important, there may be an additional layer of importance related to falls as a function of the pattern of chronic conditions across individuals.
Baer et al. showed that the factor structure of the FFMQ and the relationship of the observe facet with theoretically related constructs change as a function of meditation experience [ 2, 19].
