The outcome of direct composite restorations using the dental operating microscope.

Background: The objective of the present study was to compare the outcome of direct composite restorations, with and without the use of additional magnification.

Methods: Twenty extracted molars were selected for the study. Class 1 Black cavities were prepared.

Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning.

Machine Learning (ML)-based methods have been identified as capable of providing up to one day ahead Photovoltaic (PV) power forecasts. In this research, we introduce a generic physical model of a PV system into ML predictors to forecast from one to three days ahead. The only requirement is a basic dataset including power, wind speed and air temperature measurements.