This dissertation argues that we can develop unified systems for reproducible exploration and analysis of high-throughput biological datasets. We propose an approach, Small Modular Entities (SME), that orchestrates the execution of analysis pipelines and data exploration applications. We realize SMEs using software container technologies together with well-defined interfaces, configuration, and ...

<p>The field of artificial intelligence recently witnessed remarkable growth, leading to the development of complex deep learning models that perform exceptionally across various domains. However, these developments bring forth critical issues. Deep learning models are vulnerable to inheriting and potentially exacerbating biases present in their training data. Moreover, the complexity of these models ...

<p>The work presented in this dissertation combines two fully independent approaches to achieve compound libraries for anticancer drug research. <p>Project 1: Development of compounds inhibiting human dUTPase as an amplifier of a thymidylate synthase inhibitor based cancer therapy <p>The human dUTPase has received increased attention as a drug target in the recent years. Its inhibition can ...

This thesis presents the development of theoretical models for the calculations of one- and two-photon absorption, and computational studies on solvated systems and biomolecules. The photon-absorbing chromophore is described by density functional theory, while the effects of the surroundings are taken into account by means of polarizable embedding models. The theory and implementation of a three-layered ...

New tools and methods are needed to monitor marine resources so that industrial activities can be conducted without (or at least minimizing) adverse impacts on species of concern. UAVs can be used as a complementary or alternative tool to current methods for monitoring and research of marine mammals. This study highlights current knowledge gaps and the need for further empirical testing of these ...

Patients increasingly collect lifestyle and health-related data thanks to the explosion of sensors and healthcare applications. Multiple studies have shown that this data can be useful during consultations, resulting in more customised medical services. Moreover, this data permits clinicians to gain an overview of the patients’ conditions and enables patients to gain knowledge about the consequences ...

In order to efficiently and accurately calculate vibrational properties for solvated systems, a theoretical framework for combining response theory with the Polarizable Embedding model (PE) has been derived and implemented, and is presented in this thesis. An open-ended recursive formalism is utilized through the implementation in OpenRSP, allowing energy-derivatives to be calculated analytically ...

Virkninga av å ha et bølgedempende overflatemateriale i ei havoverflate er studert, med særlig vekt på betydninga av strålingstrykket (-stresset) eller bølgetrykket fra et innfallende, udempet bølgefelt. Det er et teoretisk studium av den dynamiske prosess som foregår når udempede overflatebølger propagerer inn i et område med bølgedempende overflatesjikt, i lys av det bølgetrykk bølgene øver på ...

Chip–based fluorescence imaging is an emerging field where the fluorophores in a sample are excited by the evanescent field generated by waveguides. The aim of this thesis is to explore how waveguide–based excitation can benefit super–resolution optical microscopy, as well as investigate other imaging and spectroscopic applications which can benefit from the same platform. For all imaging and ...

The main research question in this research project was "what are the characteristics of mathematical creativity?" It was investigated both qualitatively and quantitatively and the findings are presented in four articles. In the first article, three high achieving students were given an unfamiliar trigonometric problem. The findings indicate strongly that the student’s way of thinking is strongly ...