Pyrethroid insecticides are used worldwide, yet their potential effects on early human development remain poorly understood. We applied the PluriLum assay, a human induced pluripotent stem cell-based 3D in vitro model, to evaluate the embryotoxicity of three commonly used pyrethroids (α-cypermeth...

This thesis focuses on the challenge of automated flaw detection by developing a method for surface crack detection that uses a data fusion approach. Flaw detection is needed to detect damage that could compromise structural integrity, leading to further consequences. Identification of ...

The development of autonomous driving technology depends on the precise perception of the environment and effective object detection and classification, tracking, essential for safe navigation and decision-making. However, existing multi-sensor fusion methods focus on generating dense depth maps by co...

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&...