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Population-specific exposure modeling may improve culturally and behaviorally specific exposure assessment, clarifying gendered exposure differences.
Ecologic niche modeling may improve our understanding of epidemiologically relevant vector and parasite-reservoir distributions.
Previous studies have shown that joint modeling may improve power in certain situations for both quantitative and qualitative traits [Ayers and Cordell, 1; Clayton, 5; Hoggart et al., 13; Pirinen et al., 28].
Optimization of clinical and logistical processes through modeling may improve outcomes, but successful OR-based interventions will require contextualization of response strategies, including appreciation of both existing health care systems and limitations in local health workforces.
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Incorporating traffic-meteorological interaction information into LURs via dispersion models may improve accuracy and physical interpretability.
The best well-fitted econometric model may improve the accuracy of forecasting the load factor of these specific flights.
The developed model may improve the experimental design and facilitate our understanding of the mechanotransduction process in osteoblasts.
Since these models were derived from the dispersion analysis of surface waves, the incorporation of these models may improve the accuracy of long-period ground motion simulations.
For example, the use of smaller voxels or point-spread function modelling, may improve the detection of small lesions [13, 14].
Correctly identifying a specific biological model may improve the scientific interpretation and can be used to more effectively select and design a follow-up validation study.
As such, the fifth hypothesis explored whether additional variables, external to the original S O R model, may improve the model's utility to predict patronage intentions at a university-branded merchandise store.
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