Exact(1)
Among screening for a variety of illnesses and injuries, the questionnaire asked currently or in the last week have you had, "Any respiratory infection (e.g. cold, cough, sore throat)?," "Any fever?," as well as demographic variables to include military unit, age, gender, rank, location of deployment and current medications.
Similar(58)
Most experts do not rank locations, precisely because of the variability between sites, and as such it's misleading to talk about a "worst location".
The game theory was used to rank locations of high-rise buildings.
Although it is straightforward to rank locations according to their respective optimal values, the interpretation of this information as relative sensitivity is not.
In other words, they will be used to rank locations according to sensitivity and their absolute values will not be considered.
It does so, not by assessing sensitivity near an optimal solution, but instead by interpreting "optimal" results as indicative of relative not absolute sensitivity. Thus, the goal is to ordinally rank locations to provide decision support information.
Using floodplain access (a spatially-dependent quantity) and bridge scour (the objective), we wrap an evolutionary algorithm around a widely used process-based fluvial model to rank locations up and downstream of the bridge according to the impact of floodplain access or encroachment on predicted scour at the bridge's abutments.
We used these variables, plus data on sediment Chl a, phaeophytin, % C and N to rank locations from low to high productivity (i.e., NH, SC, DI, GH, TBW, CE, TBS, GI) and then constructed curves based on NH alone, then NH and SC, then NH, SC and DI, etc.
Alternatively, we could be skeptical about the value of 2001 data and models that they yield, and rely exclusively on the description of measurement sites in 2002 in terms of their proximity to oil and gas infrastructure (i.e. c2) to rank locations in terms of expected SO2 concentrations (M2).
Finally, these ranked location criteria are evaluated using Ontario's current RWIS network.
Taking each group in turn, for each factor there may be a different top ranked location j∗(k) and a particular location may be top ranked on more than one factor.
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