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The proposed approach provides a generic framework to assess traffic control device performance in school zones including experiment design, statistical formulation, data analysis, simulation model implementation, data interpretation, and recommendation development.
KBM was involved with model implementation, data coordination and management, and manuscript development and revision.
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However, the model implementation used these data to derive a test probability matrix separately describing the relationship between each health state (Normal; PCR HPV positive; CIN1, CIN2, CIN3+, etc).
HH: model design and implementation, data interpretation, writing the manuscript; ML: acquisition of data, analysis and interpretation of data; JP: coordination of the study, writing the manuscript; MR: conception, design and coordination of the study, acquisition of data, data analysis and interpretation, writing the manuscript.
Our microarray data model implementation using HBase is described in our Results section.
Experiment design and implementation, data pretreatment, model parameter identification and application of the obtained model for the estimation and prediction of the SOFC stack maximum and minimum temperatures are covered.
In our implementation, data is modeled as a tree-like structure where the root represents a subject's master data and further nodes represent documents containing payload data.
In the model implementation, we mixed all the training data points and validation points.
Providing data sources are sufficient, the model can be extended readily to larger study areas although the effort involved in data collection and model implementation is likely to be substantial and time-consuming.
However, it should be pointed out that for the reduced model implementation, in addition to the reduced data transfer, also the size of the system of equations is significantly smaller.
Availability and implementation: Data used to generate models are available as Supplementary Material.
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