Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.

The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular applications, due to the complexity of parametrising anatomical structures and the need for large training datasets. This study aims to apply statistical shape modelling and machine learning for predicting stent deployment in real time using patient-specific models.

Mechanism of oxygen reduction chemical affinity in NiO/SiO interfaces irradiated with keV energy hydrogen and helium ions for heterostructure fabrication.

Low-energy light ion beams are an essential resource in lithography for nanopatterning magnetic materials and interfaces due to their ability to modify the structure and properties of metamaterials. Here we create ferromagnetic/non-ferromagnetic heterostructures with a controlled layer thickness and nanometer-scale precision. For this, hydrogen ion (H) irradiation is used to reduce the antiferromagnetic nickel oxide (NiO) layer into ferromagnetic Ni with lower fluence than in the case of helium ion (He) irradiation.

Electrically-driven control of nanoscale chemical changes in amorphous complex oxide memristive devices.

In this paper we investigate the electrical response response of amorphous complex oxide memristors under different electrical stimulation. With the help of transmission electron microscopy and energy dispersive x-ray spectroscopy, we observed that those devices stimulated with voltage display strong cationic segregation at the nanoscale together with the partial crystallization of the oxide layer. On the other hand, devices stimulated with current maintain their amorphous character with no significative chemical changes.

Treated greywater as a novel water resource: The perspective of greywater treatment for reuse from a bibliometric analysis.

The current global water crisis has prompted research into technologies that can reuse different water resources to mitigate water scarcity. The use of treated greywater can be proposed to provide additional water resources. By reusing this water in different applications, this water crisis can be mitigated at the local scale.