Central MessageThe excellent results with surgical repair of AVSD in this review validates the prescient decision to regionalize care children congenital heart disease Sweden from 4 2 centers 1992.See Article page 2145. The 1992. See As I read manuscript submitted by Dr Ramgren and colleagues Lund, Sweden, noted that their infants atrioventricular septal defect (AVSD) began 1993.1Ramgren J.J. N...

The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Federal Highway Administration and the Indiana Department of Transportation. The report does not constitute a standard specification, or regulation. The following five methods o...

The IHACRES model has been successfully applied to many catchments across the UK including regionalization studies (e.g. Sefton and Howarth, 1998; Littlewood, 2003). However, while the previous formulation of the non-linear module performs well in calibration and simulation, the module has some identified deficiencies in the representation of the impacts of climate change on volume of streamflo...

This brief note draws further attention to cross-hauling in regional input-output table estimation, and specifically identifies conceptual issues associated with Kronenberg?s CHARM method for adjusting input-output regionalization methods. Despite the shortcomings of the CHARM approach as it now stands, this is a very important line of research. I believe that progress made on the CHARM method ...

This paper reviews almost four decades of contributions on the subject of supervised regionalization methods. These methods aggregate a set of areas into a predefined number of spatially contiguous regions while optimizing certain aggregation criteria. The authors present a taxonomic scheme that classifies a wide range of regionalization methods into eight groups, based on the strategy applied ...

Rainfall-runoff modeling in ungauged basins continues to be a great hydrological research challenge. A novel approach is the Long-Short-Term-Memory neural network (LSTM) from Deep Learning toolbox, which few works have addressed its use for rainfall-runoff regionalization. This work aims discuss application of LSTM as regional method against traditional (FFNN) and conceptual models practical fr...