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However, recombinant friendly bacteria can be also used for exploring novel effective strategies to deliver therapeutic molecules to the mucosal tissues in order to avoid degradation.
Apart from live cell super-resolution microscopy methods, described above, other microscopy based techniques such as fluorescence correlation spectroscopy (FCS) [54], total internal reflection microscopy (TIRFM) [55] and single particle tracking (SPT) [56,57] are also used for exploring the distribution of membrane proteins in living cells.
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Such models could also be used for exploring the impacts of pests and diseases more usefully than current models by accurately simulating seasonal growth patterns.
Quantifying the impact of survival differences between groups in this way could also be used for exploring differences between socioeconomic groups, or between countries.
In parallel, the technologies based on the "tag-and-count" principle, such as SAGE and MPSS, are also being used for exploring the full transcriptome.
We have already assessed further genetic sources of human C. andersoni infections using multilocus sequence typing (MLST), which has also been used for exploring genetic sources of C. andersoni infection in zoonotic samples [ 34, 40] and confirmed at least two sites from cattle to be consistent with our current data (data not shown).
If statistical heterogeneity was present in the respective meta-analysis, subgroup and sensitivity analyses were also used to explore possible reasons for heterogeneity.
The Bateman and Dost models were also used to explore the criterion for testing identifiability of random-effects parameters in a population analysis.
The data assignment tool can be also used to explore the access times for various storage distributions.
Polytomous regression models with adjustment for gender were also used to explore the association between interval-need dependency and health and social care service use with significance assessed by the Wald Chi-squared (Wald χ).
Logistic regression was also used to explore predictors of being overdue for screening.
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