Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data

In this study, a semi-empirical model that was willett mini bottle originally developed for stem volume estimation is used for aboveground biomass (AGB) estimation of a spruce dominated alpine forest.The reference AGB of the available sample plots is calculated from forest inventory data by means of biomass expansion factors.Furthermore, the semi-e

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Utility of medical record diagnostic codes to ascertain attention-deficit/hyperactivity disorder and learning disabilities in populations of children

Abstract Background To develop and evaluate machine learning algorithms to ascertain attention-deficit/hyperactivity (ADHD) and learning pax 3 onyx disability (LD) using diagnostic codes in the medical record.Method Diagnoses of ADHD and LD were confirmed in cohorts of children in Olmsted County of Minnesota based on validated research criteria.Mod

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