Filtyp
The increasing demand for energy-efficient and sustainable construction necessitates the need for building envelope designs that effectively balance moisture safety with sustainability. Improper moisture management in building envelopes can lead to severe consequences, including construction damage, decreased energy performance, and health risks associated with microbial growth. For instance, wate
This thesis investigates scalable control design for networked dynamical systems, which are of great importance due to their wide range of practical applications, including large-scale formation control. A central challenge in such systems is enabling agents to coordinate effectively based only on local and relative information, particularly as the system size increases. To address this, the thesi
Being a complement to ecosystem services (ES), geosystem services (GS) is a novel concept that helps identify and understand the contributions of the diversity of geological structures and processes of nature to human wellbeing. A pilot survey was carried out to Swedish municipalities in order to: (i) in a systematic way investigate if and how they currently approach GS in their spatial planning p
Bayesian optimization is a widely used method for optimizing expensive black-box functions, with Expected Improvement being one of the most commonly used acquisition functions. In contrast, information-theoretic acquisition functions aim to reduce uncertainty about the function's optimum and are often considered fundamentally distinct from EI. In this work, we challenge this prevailing perspective
Mitochondrial replacement therapy has been developed in order to prevent the transmission of mitochondrial mutations, yet it raises ethical concerns, particularly regarding the involvement of third-party DNA and the risks associated with donor procedures. This paper explores an alternative approach using synthetic DNA (synDNA) to construct mitochondrial organelles, thereby bypassing the need for d
Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study
Monitoring agricultural land with optical remote sensing offers a valuable tool for estimating crop yield and supporting decision-making for food security. Cropland phenology indicators, such as the start of season (SOS), the end of season (EOS), and the number of growing seasons per year, provide essential information for land managers. While established toolboxes like TIMESAT have been extractin
Background: The aim was to develop a theoretical framework for how errors in estimated activities propagate to a dispersion in time-integrated activity in radionuclide-therapy dosimetry and how this affects the comparison of radionuclide-therapy dosimetry schemes. Methods: Formulae for the variance of relative errors of estimated time-integrated activities and relative differences in time-integrat
Comparative genomic analysis often involves visualization of alignments of genomic loci. While several software tools are available for this task, ranging from Python and R libraries to stand-alone graphical user interfaces, a tool is lacking that offers fast, automated usage and the production of publication-ready vector images. Here we present LoVis4u, a command-line tool and Python API designed
In clinical trials, surrogate endpoints, that are more cost-effective, occur earlier, or are more frequently measured, are sometimes used to replace costly, late, or rare true endpoints. Regulatory authorities typically require thorough evaluation and validation to accept these surrogate endpoints as reliable substitutes. To this end, the meta-analytic framework is considered a very viable approac
