Board of the Swiss Federal Institutes of Technology

Latent causal diffusions for single-cell perturbation modeling

Perturbation screens hold the potential to systematically map regulatory processes at single-cell resolution, yet modeling and predicting transcriptome-wide responses to perturbations remains a major computational challenge. Existing methods often underperform simple baselines, f...

Alteromonas macleodii breaches the diatom frustule triggering protoplast emergence and programmed necrosis-like death in Thalassiosira rotula

Abstract Diatom-bacteria interactions drive biogeochemical fluxes at the base of the marine food-web. Although bacteria are increasingly recognised as important drivers of algal mortality, the diversity of algicidal strategies remains understudied. Here we show that Alteromonas m...

Road transport of trapped antiprotons

Abstract Low-energy antiprotons confined in ultrahigh-vacuum Penning traps 1 enable precision investigations of charge, parity and time-reversal (CPT) invariance 2 to test the fundamental symmetry between matter and antimatter. These studies are driven by the search for physics b...

The parent bodies of Ryugu and Ivuna formed before those of other carbonaceous chondrites

Most carbonaceous chondrite (CC) meteorites contain abundant chondrules, millimeter-scale spherical inclusions of previously molten material. Ivuna-type carbonaceous chondrites (CIs) do not contain chondrules, nor do samples of the carbonaceous asteroid Ryugu. CIs and Ryugu share...

Real-time volatilomics reveals microbiota and pathogen fingerprints in the honey bee

ABSTRACT Understanding the complex relationship between gut microbiota and their hosts often relies on invasive sampling techniques. Honey bees provide a tractable model for host-microbe studies. Here we establish single-bee volatilomics using secondary electrospray ionization (S...

Nonlocal Approximation of Minimal Surfaces: Optimal Estimates From Stability

ABSTRACT Minimal surfaces in closed 3‐manifolds are classically constructed via the Almgren‐Pitts approach. The Allen‐Cahn approximation has proved to be a powerful alternative, and Chodosh and Mantoulidis (in Ann. Math. 2020) used it to give a new proof of Yau's conjecture for g...

Interpretable machine learning for urban heat mitigation: Attribution and weighting of multi-scale drivers

Abstract Strategies to mitigate urban heat are often analysed using complex models. Here, we propose a machine learning method for highly interpretable emulators of such models to efficiently inform actionable levers to mitigate urban heat. We first pre-classify parameters accord...