Digital twins for automated material handling systems (AMHSs) of semiconductor and display fabrication industries suffer from parameter uncertainty and discrepancy. This leads to inaccurate predictions, ultimately affecting performance. To address this, researchers have developed a new Bayesian calibration framework that simultaneously accounts for both parameter uncertainty and discrepancy, improving the prediction accuracy of digital twin models. This innovative framework holds great potential for enhancing digital twin applicability across diverse industries.

Analysis of data from the Family Financial Survey, included in the Spanish Statistical Plan, shows that parents aged 50-75 living together with children over 30 in the family home has an adverse effect on the well-being of mothers, especially if they are adult male sons.

In Southern European countries, more than 40% of adults aged 25-34 live at home with their parents and the average age of leaving the family home is 29.8 years. Apart from economic aspects, the cultural contexts of Mediterranean countries seem to explain these results, as they are traditionally characterised by stronger family ties and a less equal division of household labour.