Population densities and relative abundance of the European wild boar, Sus scrofa, has been steadily increasing throughout Europe for decades. Due to climate changes, wild boar is able to expand into climatic regions that ...

Compound potency prediction is a major task in computational drug discovery. Regression models based on machine learning (ML) approaches have become popular for small molecule potency predictions. Recently, deep learning ...

Proteins and peptides contribute to a significant class of therapeutic agents in the pharmaceutical market. Over the last decades, they gained growing interest due to their safety and specificity compared to small molecule ...

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This thesis addresses the complex challenges of multi-person pose estimation and tracking in dynamic, real-world environments. Motivated by advancements in artificial intelligence and the growing need for natural human-machine ...

The aim of this thesis is the theoretical calculation of the unpolarized transverse momentum dependent parton distribution function (TMDPDF) from first principles using lattice QCD. TMDPDFs are important quantities that ...

The lung is one of the largest barrier tissues of our body, and is constantly exposed to the environment. By inhaling, the lungs do not only take up oxygen, which is crucial for cellular respiration, but also a plethora ...

This thesis presents quantum simulation of strongly-correlated systems beyond standard Hubbard models, using ultracold fermionic potassium atoms in both static and periodically-driven optical superlattices. For this study, ...

In this work, we present a new theory to treat multi-component liquids based on quantum-chemically calculated clusters. The starting point is the binary quantum cluster equilibrium theory that is able to treat binary ...

Despite the early clinical promise, adverse events such as acquired resistance and dose-limiting toxicities have barred the widespread use of HSP90 inhibitors as anticancer drugs. A new approach involving proteolysis-targeting ...