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We extend the generalized information criteria for high-dimensional penalizedmodels to sparse statistical jump models, a new class of statistically robust and computationally efficient alternatives to hidden Markov models. In a simulation study, we demonstrate that the new generalized information criteria selects the correct hyperparameters with high probability. Finally, providing an empirical ap
This paper is about automatic classification of dialect and accent type in Swedish. We used disyllabic words from the speech material of the Swedia 2000 dialect project in order to build a statistical prediction model. The model uses different parameters extracted from F0 contours of the words. Classification of dialect is performed for the features 'province' and 'village', whereas classification
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
Long-term prophylaxis is not as well known in Von Willebrand disease (VWD) as in hemophilia but attempts to evaluate prophylaxis scientifically in VWD have started. A few cohort studies have been reported. In an international effort the Von Willebrand disease prophylaxis network (VWD PN) has been formed to investigate the role of prophylaxis in clinically severe VWD (e.g., patients with type 3 VWD
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
The beneficial role of the Mediterranean diet in the prevention of chronic diseases, including cardiovascular diseases, diabetes, and obesity, is well-recognized. In this context, Brassicaceae are considered important vegetables due to several evidences of their health promoting effects that are associated to bioactive compounds present in the edible parts of the plants. In this review, the mechan
This paper presents the results of the 2022 Groundwater Time Series Modelling Challenge, where 15 teams from different institutes applied various data-driven models to simulate hydraulic-head time series at four monitoring wells. Three of the wells were located in Europe and one was located in the USA in different hydrogeological settings in temperate, continental, or subarctic climates. Participa
This article investigates the performance of several residuals for the Cox proportional hazards regression model to diagnose the influential observations. The standardized and adjusted forms of residuals are proposed for Cox proportional hazards regression model. In addition, Cook’s distance is proposed for both standardized and adjusted residuals. The assessment of different residuals for the ide
This paper presents the results of the 2022 Groundwater Time Series Modelling Challenge, where 15 teams from different institutes applied various data-driven models to simulate hydraulic-head time series at four monitoring wells. Three of the wells were located in Europe and one was located in the USA in different hydrogeological settings in temperate, continental, or subarctic climates. Participa
Estimation of the generalization performance for classification within the medical applications domain is always an important task. In this study we focus on artificial neural network ensembles as the machine learning technique. We present a numerical comparison between five common resampling techniques: k-fold cross validation (CV), holdout, using three cutoffs, and bootstrap using five different
We consider orthogonal frequency-division multiplexing systems with intercarrier interference (ICI) due to insufficient cyclic prefix and/or temporal variations. Intersymbol interference (ISI) and ICI lead to an error floor in conventional receivers. We suggest two techniques for the equalization of ICI. The first, called "operator-perturbation technique" is an iterative technique for the inversio
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
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
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 basic organization of the catecholamine-containing neuronal systems and their axonal projections in the brain was initially worked out using classical histofluorescence techniques during the 1960s and 1970s. The introduction of more versatile immunohistochemical methods, along with a range of highly sensitive tract-tracing techniques, has provided a progressively more detailed picture, making
