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We present the methodology and, by way of example, its implementation in the following interventions: a) laparoscopic cholecystectomy, and b) tonsillectomy.
A new evaluation was also performed corresponding to the latest adaptations, which is described along with details of the database implementation in the following section.
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In this study, the interviewees discussed implementations in the following departments: 10 physics departments 3 biology departments 2 math departments 2 chemistry departments 2 engineering departments 2 multiple departments.
Our implementation is available in the following repository: http://github.com/felipemartinsss/repository/tree/master/AIPlannersForRDDLSim.
To ensure the conformance of an implementation under test (in the following IUT) with respect to a specification requires, in general, the application of an infinite number of tests.
One such implementation is discussed in the following section.
Our implementation was the following: In a first step, beta estimates of each run (one beta estimate per stimulus block/trial) were labeled according to their melodic condition (e.g., melody I played by flute).
We also recommend the implementation of the following measures in order to increase quality, outcome and cost-effectiveness of lung cancer screening: To increase the pre-test probability by using a risk model and considering additional risk factors.
The FPGA implementation that we present in the following section aims at overcoming these drawbacks.
More detailed integration methods and implementation procedures are elaborated in the following separate sections.
This FPGA and our implementation choices are presented in the following.
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