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Model improvements were observed at sites with relatively higher NO2 concentrations that exhibited higher traffic volumes and were in closer proximity to roadways (< 300 m), which may have an important bearing towards better characterizing exposures in both near-roadway and high-traffic environments.
However, some model improvements were required.
In this analysis, after patients enrolled in either a FHG or FHN model, improvements were seen in the prescribing of metformin, angiotensin converting enzyme inhibitor (ACEI) and antilipid medications.
Still, when looking at the reclassification statistics when looking at the reclassiciation statistics of the final overall clinical model, improvements were only modest across risk categories and it thus remains unclear how many patients would benefit from biomarker testing if used in clinical practice.
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The results show that the performances of transfer bodies are improved when model improvements are considered, therefore, the application values are considerable for designers.
Based on the comparisons presented, model capabilities are assessed and potential model improvements are identified.
Implications for management and conservation, as well as future model improvements, are briefly discussed.
Through discussion and analysis of different numerical sensitivity tests, critical material parameters and model improvements are identified in view of attaining better quantitative predictions in the future.
Results show that existing correlations over-predict heat transfer by as much as 20,000% and that significant model improvements are warranted.
The collision model improvements are incorporated into the general-purpose computational-particle fluid dynamics (CPFD) numerical methodology for dense particle flows.
In addition, model improvements are expected by incorporating other impacting factors, for example comedication, aggregation, excipient in the formulation, or patient immune status.
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model coefficients were
model probabilities were
model membranes were
model outputs were
model genomes were
model factors were
model equations were
model residuals were
model analyses were
model individuals were
model assumptions were
model estimates were
model proteins were
model performances were
model reactions were
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CEO of Professional Science Editing for Scientists @ prosciediting.com