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Here we present experimental models that examine DNA uptake in bacteria, their advantages and limitations.
There are various models that examine the health behaviors of individuals.
These methods are part of an emerging class of multilevel growth mixture models, and we illustrate these with models that examine overall impact and variation in impact.
Here we present experimental models that examine chromosomal DNA uptake in bacteria and discuss some of the advantages and limitations of the models used.
Their condition is assessed through sampling to determine stock size, as well as through catch data and population models that examine factors such as the fish's growth, how often they reach maturity, and how quickly they reproduce.
Animal models that examine the effects of natural genetic variation, the effects of mutations, and the effects of targeted genetic engineering on behavior have been instrumental in understanding the influence of genes on behavior and the influence of behavior on gene expression.
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We synthesize the results from seven ecological simulation models that examined how low dissolved oxygen (DO) affected fish at the individual, population, and community levels.
Structural equation modeling (SEM) was used to test a sequence of models that examined the mediating effects of opportunity recognition and innovativeness on the relationships (paths) between risk-taking propensity, entrepreneurial intensity, and firm sustainability (Joreskog and Sorbom 1993).
Second, conclusions were identical in models that examined survival outcomes regardless of neurological status.
IDI were obtained with logistic regression models that examined deaths through 10-years of follow-up.
Table 2 shows the structured multiphase logistic regression models that examined the risk factors of HNF injuries.
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