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The results obtained reveal the importance of a proper use of data sets because their influence over the communications performance.
The research objective in these studies has been to develop methods for evaluating health information technologies in practice-based settings using a "tool kit" of inexpensive, yet highly scalable methods that make use of data sets created as a byproduct of normal clinical and administrative operations.
We -- as educators, policymakers, parents and advocates -- must be willing to roll up our sleeves to listen to the public's concerns, develop the necessary policies to use data effectively while protecting student privacy, and then advocate for those policies and explain why use of data sets is necessary.
The use of data sets from two different mammalian species (macaque monkey and cat) invites comparisons between these structures in terms of a broad range of graph theoretical measures, including small-world attributes, motif composition and centrality.
Another issue may relate to the use of data sets from different cellular systems and conditions.
This method makes use of data sets where variation in consumer number and not variation in resource level is available.
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We recommend (1) more widespread inclusion of narrative text in databases, analyses of which can be a valuable supplement to injury coded data; (2) the increased use of data set linkage studies to combine injury and work-history data; and (3) the development of comprehensive company-wide surveillance systems to expedite the use of epidemiologic data for occupational injury prevention activities.
We use three types of data sets in our experiments.
We first validated our method by correctly recovering expected associations of subclasses using a pair of data sets comprised of multiple tissue types (Example 1).
We used two kinds of data sets.
We used two types of data sets: random and real.
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