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These data were related to evidence of meso-scale erosion to examine how geological contingency influences the nature and scale of erosion processes and thresholds.
Hence, such models, by allowing meaningful capture of the dynamic multiplicative processes and thresholds underlying malaria endemicity and seasonal extinction, as well as disease emergence in new regions as climatic conditions change, provide a credible basis for prediction beyond the range of current climatologic experience.
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This algorithm showed that the discriminability for slicing detection increased through the maximization process, and threshold expansion reduces the information loss caused by the coefficient thresholding that is used to restrict the number of Markov features.
It is therefore possible to assess dominant erosion processes, and geomorphologic thresholds that spatially separate those processes, by evaluating catchment form.
The GVS thresholds of 6 pilots and 5 control subjects were asymmetrical for the anode on the right and the left mastoid processes, and GVS thresholds of the other subjects were symmetrical.
Due to the "Poisson approximation" involving this formulation, it may fall short for very narrow band processes and lower threshold levels of practical interest.
While the Poisson approximation is generally valid for broad band processes, it may fall short for very narrow band processes, and lower threshold levels of practical interest, due to the tendency of crossings to occur in cluster [2, 3].
As the detection process continues and threshold decreases incrementally, the smaller ROIs from prior iterations which are fully contained in larger ROIs from the current iteration are discarded, and the new larger ROIs are retained.
Calibration of the model provides parameter estimates that are informative about the drift/sampling process and also thresholds for distinguishing significant outliers.
The images obtained from the tomography scans were further post processed, and image thresholding and binarization methodologies are presented.
The three simulations were designed to analyze how the DEM reconditioning process and stream threshold value would effect on the accuracy of stream network and catchment modeling.
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