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Group A streptococci (GAS, Streptococcus pyogenes) are exclusive human pathogens that have been extensively studied for many decades. The spectrum of diseases caused by these bacteria ranges from uncomplicated and superficial to severe and invasive infections. In order to give rise to these complications, GAS have evolved a number of surface-bound and secreted virulence factors, of which the M pro
Unique, gene-specific oligonucleotides are used for many genetic investigations such as polymerase chain reaction, gene cloning, microarray technology and antisense DNA studies. It is a computationally demanding task to extract these oligonucleotides from DNA databases. We studied the problem from the point of view of the string matching problem. We implemented and tested several exact string matc
This paper presents a novel on-line approach of merging multiple different predictors of plasma glucose into a single optimized prediction. Various different predictors are merged by recursive weighting into a single prediction using regularized optimization. The approach is evaluated on 12 data sets of type I diabetes data, using three parallel predictors. The performance of the combined predicti
The g factors of the first excited 2(+) states in the Sn-112,Sn-114,Sn-116,Sn-122,Sn-124 isotopes have been measured with high accuracy using the transient field technique in combination with Coulomb excitation in inverse kinematics. The experimental results are discussed in a qualitative way on the basis of empirical single-particle g factors of the relevant proton and neutron orbitals and are co
This paper presents a decoder for multi-carrier modulated signals employing Faster-than-Nyquist (FTN) signaling. FTN signaling is a method of improving bandwidth efficiency at the expense of higher processing complexity in the transceiver. The decoder can switch between orthogonal and FTN signaling modes and exploits channel properties to improve bandwidth efficiency. The decoder is fabricated in
This paper examines a few of the fundamental principles in traditional and modern crisis analysis based on models of liquidity risk and moral hazard. The greatest emphasis in placed on moral hazard as it is concluded that this aspect was a central dilemma to the onset of the crisis in Thailand. The theory is analyzed through a Minskian fragility hypothesis and taken further with the Foley model as
Since 1983 it is made possible in swedish law that the custody of a child who has been living under a certain time in the same foster care family is transferred from the parents to the foster parents to obtain security and a ensure the childs possibility to stay with their foster parents when the child consider the foster home as its own. This is an exception compared to the main principle of reun
Galectins are a family of carbohydrate recognition proteins involved in modulation of cell signaling and cell adhesion. galectin-9 especially is involved in regulation of the immune response. In this work, galectin-9N inhibitors have been designed, synthesized and evaluated. The aim was to synthesize compounds with higher affinity than currently known compounds. Three compounds were synthesized wi
After giving an introduction to the basics of transfer pricing with a focus on intangibles, this paper aims to establish the nature of residual profits and what needs to be considered when such profits are generated. It will become clear that residual profits are an economic concept rather than an element of tax law which is why, first, a connecting link needs to be found between these two discipl
It is beneficial for both investors and companies to avoid the detrimental consequences of overpricing during an initial public offering (IPO). Prospectuses are an important source of information for potential investors. Through Latent Dirichlet Allocation (LDA) we extract topics from the summary section of prospectuses S-1 for companies holding an IPO in the U.S. in 2019-2020. We represent the un
This Master’s thesis evaluates the performance of lightweight compression algorithm aimed for IoT sensor devices. These devices are most often battery driven and produce large amounts of sensor data which is sent wirelessly. Compressing the data could be a tool in decreasing the power usage of these devices. The algorithms were evaluated based on their compression ratio, memory consumption and CPU
I det här arbetet har jag studerat och provat olika metoder som kan användas vid memorering av musik. Syftet var att hitta de metoder som passade min övning bäst och gav mig mer frihet vid mina framträdanden. Jag valde att fokusera på solostycket With för viola av Reine Jönsson som jag ska spela på min examenskonsert. Jag har bland annat utforskat mental övning, memoreringsprocessen, avslappning v
The electron transmission probability in semiconductor heterostructures made of potential barriers whose height, width and separation are modified to follow different Gaussian functions are calculated using the transfer matrix theory. These structures then serve as electron obstacles in thermoelectric devices in order to increase the output power and efficiency. When computing and comparing these
The analysis of peptides using mass spectrometry produces signals, where intact and fragmented peptides are observable as specific signal peaks. This report investigates how signal processing and supervised learning, along with specialized peak detection algorithms, can improve the analysis of such peptide signals in a mass spectrometry technique called Data Independent Acquisition. To make this i
The aim of this study was to investigate the health and job satisfaction in Swedish elderly care. The data was collected by doing semi-structured interviews with employees at an elderly care facility in an average sized Swedish city. Participants were chosen randomly, but it was made sure that the balance between formally educated and non-formally educated personnel was nearly equal. The Human Res
The Learning with Errors problem (LWE) is one of the main candidates for post-quantum cryptography. At Asiacrypt 2017, coded-BKW with sieving, an algorithm combining the Blum-Kalai-Wasserman algorithm (BKW) with lattice sieving techniques, was proposed. In this paper, we improve that algorithm by using different reduction factors in different steps of the sieving part of the algorithm. In the Rege
A 37-year-old man sustained occlusion of the right coronary artery after a bicycle accident with blunt chest trauma over the left scapula. Acute coronary angiography was performed because of chest pain and ST-segment elevation. Despite surgically successful acute revascularization the patient developed a transmural inferior wall infarction. Coronary artery occlusion after blunt chest trauma is rar
