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Scientists uncover major error in key Arctic snow cover data
For years, a core set of satellite measurements has shaped how scientists, policymakers and modelers understand the Arctic’s ...
Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.
Ensuring parts meet specification is crucial and so it helps to have confidence in your measurement system. Parts that don’t meet specification, whether gauging composition or measuring thickness, ...
Objectives This study aimed to (1) develop a new measure of adherence to exercise for musculoskeletal (MSK) pain (Adherence To Exercise for Musculoskeletal Pain Tool: ATEMPT) based on previously ...
The increasing number of power domains found in power management ICs (PMICs) targeted for portable applications places heavy demands on the few precision DC resources found in many ATE systems. Even ...
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