Validating environmental scan
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A multitude of studies have examined cosmopolitan and ancestral African populations of , with a particular focus on genes that are important for local adaptation (e.g., Jensen et al. The primary goal of such studies is to corroborate/verify the biological importance of the genes that have been identified as being positively selected.
One secondary goal of such studies is to increase the credibility of the positive selection model.
Pre Scan can be used from model-based controller design (MIL) to real-time tests with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) systems.
" Hyundai Motor Company (HMC) has been using Pre Scan software for several years now to develop and verify new ADAS functions such as pre-crash.
Reasonable findings (such as ) are treated as true-positive cases and, albeit indirectly, are perceived to yield some validity to the methods that were used to detect them.
Here, we argue that the approach of perceiving an increased validity of results, simply because they make sense, may be misleading in many cases.
Often, the computational and statistical approaches that were deployed for detecting positive selection are considered to be valid and/or correctly implemented because results are biologically sensible.Therefore, we initially simulate a sample of neutral genomes, subsequently conduct a statistical scan that is followed by a computational annotation for function.We do not intend to criticize computational and statistical approaches for detecting positive selection (e.g., see recent reviews of Nielsen 2005; Sella et al. 2010; Stephan 2010a, 2010b) nor to put into question the need for a thorough analysis and quest to understand and interpret the results.Pre Scan is a physics-based simulation platform that is used in the automotive industry for development of Advanced Driver Assistance Systems (ADAS) that are based on sensor technologies such as radar, laser/lidar, camera and GPS.Pre Scan is also used for designing and evaluating vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication applications as well as autonomous driving applications.