Complex mixtures of organic chemicals extracted from representative but not directly related environmental samples (wastewater, surface water, fish), food items (drinking water, fish, milk) and human blood were tested in 22 in vitro bioassays targeting pathways associated with neurodevelopmental and&#...

Objectives: The rapid expansion of digital health technologies during and after the COVID-19 pandemic has reshaped how individuals access healthcare services. While these innovations promise greater efficiency and reach, questions remain about their equitable uptake across different population ...

Metallic materials are some of the most important engineering materials. Current developments in our society are leading to an increasing demand for diverse novel metallic materials with desirable properties. ...

Metallic materials include elemental metals and compounds or alloys. They are important engineering materials and are additionally widely utilized in many new fields. Present developments have led to an increasing demand for diverse new metallic materials in addition to sustainable recycling,...

In this thesis, the integration of physics-based insights and experimental data in the modelling of precipitation hardening (PH) is investigated. To set up the context, a fitting parameter is calibrated in a partial differential equation (PDE) using Physics-Informed Neural Network (PINN), a&...

Commercial aluminum (Al) metals contain unavoidably iron (Fe) and silicon (Si) as impurities. Due to its low solubility and high chemical affinity to Al, Fe exists in the form of Fe-containing intermetallic compounds (Fe-IMCs) which act crucially in solidification processes, determining the&...

This paper investigates the minimization of the expectation of piecewise polynomial loss functions over Wasserstein balls. This optimization problem often appears as a key sub-problem of distributionally robust optimization problems. We establish the asymptotic convergence of a hierarchy of semi-defin...

This thesis addresses the challenges of data privacy in the field of ma-chine learning, with a focus on privacy threats and uncertainty estimation in decentralized learning environments. As data grows exponentially and ma-chine learning models are widely adopted, the challenge of effectively...

This thesis analyses the British parliamentary debates in the House of Commons and House of Lords from the years 1765-1776 and the private correspondence of select MPs and Peers to explain and discuss the arguments presented in Parliament during the course of the conflict betw...