Speakers: Anton Gradišek (Jožef Stefan Institute) Honeybees and bumblebees are social insects and are among the most important pollinators in their ecosystems. They are fascinating creatures and even if we think that we know them well, there is still much … Read More

Speakers: Jules Morand (Department of Physics, University of Trento) https://indico.ijs.si/event/1873/

Even though there are clear indications of many-body interactions in the dense microgel suspensions, there is still no adequate general description of the phenomena. One possible avenue for exploration of many-body effects is the coarse-grained liquid-drop model, where the soft … Read More

Bubbles in liquids, soft and squeezy objects made of gas and vapour, yet so strong as to destroy any material. At first glance bubbles in water might seem like trivial objects with simple physics describing them. However, upon further investigation … Read More

Speakers: Maja Marušič (National Institute of Chemistry) Nucleic acids display a range of structural variations beyond the basic helical shape and Watson-Crick hydrogen bond pairing. Some of these structural variations are nuanced, while others result in a vastly different spatial … Read More

https://indico.ijs.si/event/1874/

Surface patterns in epithelial tissues often arise due to effects of differential surface tension and elastic properties of supporting structures, such as basal membrane and bulk elastic substrate. While we cannot clearly distinguish between surface-tension and elastic contributions only from … Read More

Speakers: Mojca Krajnc (Biotechnical Faculty) https://indico.ijs.si/event/1778/

We propose a new regime of minimal QCD axion dark matter that lies between the pre- and post-inflationary scenarios, such that the Peccei-Quinn (PQ) symmetry is restored only on sufficiently large spatial scales. This leads to a novel cosmological evolution, … Read More

Speakers: Miha Modic (National Institute of Chemistry) Successful embryo implantation induces rapid morphological progression from rosette to lumen and then to gastrulation, which is closely coordinated with cell fate transition. By integrating machine learning, metabolic RNA sequencing, iCLIP, and proteomics … Read More