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Adaptive Routing with Guaranteed Delay Bounds using Safe Reinforcement Learning

Time-critical networks require strict delay bounds on the transmission time of packets from source to destination. Routes for transmissions are usually statically determined, using knowledge about worst-case transmission times between nodes. This is generally a conservative method, that guarantees transmission times but does not provide any optimization for the typical case. In real networks, the

Learning Based Model Predictive Control of Combustion Timing in Multi-Cylinder Partially Premixed Combustion Engine

Partially Premixed Combustion (PPC) has shown to be a promising advanced combustion mode for future engines in terms of efficiency and emission levels. The combustion timing should be suitably phased to realize high efficiency. However, a simple constant model based predictive controller is not sufficient for controlling the combustion during transient operation. This article proposed one learning

Inequality and Uneven Development in Ghana

This dissertation investigates the extent and evolution of income and educational inequality, as well as governments’ tax and expenditure policies and their implications for inequality in Ghana over the long-term. The results of the dissertation are presented in four-thematically related papers. Paper I uses a social tables approach to measure the extent of income inequality in colonial Ghana and

Integrated on-chip system for DNA purification, labelling and surface stretching

We report a simplified, integrated and more efficient way of preparing DNA for analysis. We have developed a microfluidic platform that can purify DNA and subsequently label and stretch it on a surface. We have successfully extracted DNA from a gel-filled microfluidic channel using electrophoresis and subsequently stretched the DNA linearly by absorption to either a hydrophobic or a positively-cha

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS m

Copyright in a borderless online environment

In October 2011, the Institute for Legal Research (Institutet för Rättsvetenskaplig Forskning) organized a symposium to explore various aspects of the theme copyright in a borderless online environment. The symposium gathered prominent Nordic and International scholars and practitioners in the field of copyright and international private law. This volume is in essence the collection of papers pres

A database and synthesis of euglossine bee assemblages collected at fragrance baits

Euglossine bees are an ecologically important group, which due to their diverse resource needs act as pollinators of many neotropical plants. Male euglossines collect fragrant compounds used in mating displays from diverse sources, including the flowers of orchids and other plants. This aspect of euglossine biology has proven exceptionally useful for studies of euglossine bee populations, because

Serial evaluation of serum thymidine kinase activity is prognostic in women with newly diagnosed metastatic breast cancer

The rapid development of new therapies in metastatic breast cancer (MBC), entails a need for improved prognostic and monitoring tools. Thymidine kinase 1 (TK1) is involved in DNA synthesis and its activity correlates to outcome in cancer patients. The aim of this study was to evaluate serum TK1 activity (sTK1) levels in MBC patients as a tool for prognostication and treatment monitoring. 142 women