EVALUATING POVERTY ALLEVIATION STRATEGIES IN A DEVELOPING COUNTRY.


Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method

Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread.Satellite observations provide the potential for monitoring FFL dynamics across large areas.Previous studies commonly used empirical methods to estimate FFL, which potentially lacks reproducibility.This study applied Landsat 7 ETM+ and 8 OLI data f

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Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis

Abstract Background The past decades of research have seen an increase in statistical tools to explore the complex dynamics of mental health from patient data, yet the application of these tools in clinical practice remains uncommon.This is surprising, given that clinical reasoning, e.g., case conceptualizations, largely coincides with the dynamica

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Jllumina - A comprehensive Java-based API for statistical Illumina Infinium HumanMethylation450 and Infinium MethylationEPIC BeadChip data processing

Measuring differential methylation of the DNA is the nowadays most common approach to linking epigenetic modifications to diseases (called epigenome-wide association studies, EWAS).For its low cost, its efficiency and easy handling, the Illumina HumanMethylation450 BeadChip and its successor, the Infinium MethylationEPIC BeadChip, is the by far mos

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