Relative molecule self-attention transformer.

The prediction of molecular properties is a crucial aspect in drug discovery that can save a lot of money and time during the drug design process. The use of machine learning methods to predict molecular properties has become increasingly popular in recent years. Despite advancements in the field, several challenges remain that need to be addressed, like finding an optimal pre-training procedure to improve performance on small datasets, which are common in drug discovery.

A Comparative Study of Deterministic and Stochastic Models of Microstructure Evolution during Multi-Step Hot Deformation of Steels.

Modern construction materials, including steels, have to combine strength with good formability. In metallic materials, these features are obtained for heterogeneous multiphase microstructures. Design of such microstructures requires advanced numerical models.

The nationwide program of allergic disease prevention as an implementation of GARD guidelines in Poland.

Background: In 2006, the Global Alliance against Chronic Respiratory Diseases (GARD) was established. The GARD strategy is based mainly on activities aimed at implementing preventive tasks at a local and global level. In Poland, the National Health Program (NHP) is the strategic document describing the tasks of governmental and local administration in the field of public health.