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There are only scarce validation data on the detectability of small pulmonary nodules by low-dose CT [ 6, 7].
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Models and simulations have improved the overall understanding of thunderstorm outflows, but full-scale data is scarce making validation difficult.
What will validation validate?
The ICP-OES method has become a routine analytical technique for metal determination; however, the information related to method validation are scarce, and research on this field is still needed (Mermet [2005]).
In Germany, validation studies are scarce [ 40] and no data on the validity of the dementia diagnosis as well as of the types of pain are available.
Unfortunately, the majority of published prediction research focuses solely on model derivation, and validation studies are scarce.
However, there are scarce tools and methods supporting their Validation and Verification (V&V), which are essential activities for the proper engineering of meta-models.
Details related to real-time implementation of 5G waveforms [10] and laboratory-based experimental validation [11, 12] are very scarce in the literature and typically provide benchmarking of a particular use case [13].
Validation of crude questionnaire data is scarce.
Clinical prediction models in children fulfilling existing performance standards (that is, derivation, validation, broad validation, and implementation) are scarce.
At the same time, studies specifically pursuing the identification and validation of such measures are still scarce.
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