[Home treatment for substance use disorder - Hospitalisation addictologique à domicile (HAAD)].

In Switzerland, substance use disorders (SUD) are responsible for individual suffering and major economic costs. Especially the co-occurrence of SUD with other psychiatric disorders often leads to a revolving door effect and high emergency room attendance. For other severe psychiatric disorders outreach offers have been established, including home treatment (HT).

espm: A Python library for the simulation of STEM-EDXS datasets.

We present two open-source Python packages: "electron spectro-microscopy" (espm) and "electron microscopy tables" (emtables). The espm software enables the simulation of scanning transmission electron microscopy energy-dispersive X-ray spectroscopy datacubes, based on user-defined chemical compositions and spatial abundance maps of constituent phases. The simulation process uses X-ray emission cross-sections generated via state-of-the-art calculations made with emtables.

Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks.

Weak gravitational lensing mass maps play a crucial role in understanding the evolution of structures in the Universe and our ability to constrain cosmological models. The prediction of these mass maps is based on expensive N-body simulations, which can create a computational bottleneck for cosmological analyses. Simulation-based emulators of map summary statistics, such as the matter power spectrum and its covariance, are starting to play increasingly important role, as the analytical predictions are expected to reach their precision limits for upcoming experiments.

Stationary time-vertex signal processing.

This paper considers regression tasks involving high-dimensional multivariate processes whose structure is dependent on some known graph topology. We put forth a new definition of time-vertex wide-sense stationarity, or for short, that goes beyond product graphs. Joint stationarity helps by reducing the estimation variance and recovery complexity.