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There exists a whole class of models, developed mainly in the 1980s, which look for the source of dependencies in cell size/growth rate regulation.
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If welfare is going to work as a safety net, not as a source of dependency, then it needs to be tough.
Very few such studies have been conducted for the Japanese population [ 8, 9] and even fewer provide information on mild disability, which is the most common and increasing source of dependency[ 8].
In our study, social assistance was not perceived in the long run as a route to independence, but as a source of dependency and insecurity, even among the younger.
These can account for multiple sources of dependency (schools and neighbourhoods) and different types of data (eg, continuous or binary) following a normal distribution or other types of distributions (eg, negative binomial, Poisson).
We introduce the new concept of free set for capturing source of functional dependencies.
For instance, information from multiple correlated traits could help infer potential sub-groupings when the source of internal dependencies is unknown.
Sources of fatigue dependency in ECC microscopic constituent properties were discovered experimentally.
Such dependency implies that changes in particular requirement would create ripple effects in other parts of source code i.e. in source code of dependent requirement.
Aspects requiring careful consideration include the possibility of dependencies between data sources, whereby the appearance of an individual in 1 source affects his or her probability of appearance in another, as well as heterogeneities in capture probabilities, such that specific subgroups of the population are more or less likely to be recorded.
When for example a metabolomic and a gene expression (or proteomic) profile have been measured from each patient, the samples (profiles) of the two sources are paired, allowing for modeling of dependencies between them.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com