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Molecular serum portraits - A step towards personalized medicine

Antibody microarray technology has the potential for playing a large roll in identifying serological biomarker panels for personalized medicine. The aim of this thesis, based on four original papers, was to investigate if information in the serum proteome could be extracted and used for diagnostic, classificational, prognostic or treatment predictive purposes in a range of diseases. In two studies

Efficient Channel Assignment Algorithms for Infrastructure WLANs Under Dense Deployment

It is well known that WLAN based on the IEEE 802.11 standard suffers from interference and scalability problems due to a limited number of non-overlapping channels. In order to mitigate the interference problem, channel assignment algorithms have been a popular research topic in recent years. It has been shown that such algorithms can greatly reduce the interference among wireless access points. H

N400 as a measure of inter-item relatedness

Background How many time's a word appear in a corpu's constitute's it's word frequency. Word frequency affect's memory in robust but puzzling way's. In free recall paradigm's high frequency (HF) word's are easier to recall than low frequency (LF) word's, in list's with homogenou's word frequencie's. If HF and LF word's are mixed together in a list thi's affect recall of HF word's negatively

Combining case study and simulation methods in supply chain management research

Using the case study research method as well as empirical quantitative-based simulation methods are becoming increasingly common in supply chain management research. However, rare signs of efforts of combining these are to be found in literature. This paper contributes to the further development of research practices by presenting and discussing the concept of combining case study and simulation.