A new framework for evaluating dust emission model development using dichotomous satellite observations of dust emission.

Dust models are essential for understanding the impact of mineral dust on Earth's systems, human health, and global economies, but dust emission modelling has large uncertainties. Satellite observations of dust emission point sources (DPS) provide a valuable dichotomous inventory of regional dust emissions. We develop a framework for evaluating dust emission model performance using existing DPS data before routine calibration of dust models.

Satellites reveal Earth's seasonally shifting dust emission sources.

Establishing mineral dust impacts on Earth's systems requires numerical models of the dust cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle of dust emission, atmospheric transport, and deposition of dust indicate large model uncertainty due partially to unrealistic model assumptions about dust emission frequency. Calibrating dust cycle models to DOD measurements typically in North Africa, are routinely used to reduce dust model magnitude.

Accuracy and reproducibility of the visualization of occlusal contact points using analog articulating foil or digital intraoral scanners in vitro.

Aim: The accuracy and reproducibility of occlusal contact points visualized by articulating foil (AF) were investigated and then compared with those calculated by three different intraoral scanners (IOSs).

Materials And Methods: Occlusal contact points were visualized on a standardized resin dental tooth model using AF 50 times in maximum intercuspation and with a constant biting force. The occlusal contact points were photographed from a vertical position above the model and superimposed on a screen to test the reproducibility of the model.