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Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automa

Stapylococcus aureus is a common infectious agent in e.g. sepsis, associated with both high mortality rates and severe long-term effects. The cytolytic protein α-hemolysin has repeatedly been shown to enhance the virulence of S. aureus. Combined with an unhindered spread of multi drug-resistant strains, this has triggered research into novel anti virulence (i.e. anti α-hemolysin) drugs. Their func

Haemophilus influenzae protein F (PF) is an important virulence factor interacting with laminin, an extracellular matrix protein ubiquitously expressed in the respiratory tract. Here we defined PF orthologs in Pseudomonas aeruginosa, Moraxella catarrhalis, and Staphylococcus aureus, bacteria that occasionally colonize and infect the human airways. Despite low sequence homology (48.2%-77.3% similar

A novel approach is developed for predicting body trajectories for cancer progression, where conditional probabilities of clinical data are modeled using Hidden Markov Model techniques. Basically, each potential body site is encoded by an N-letter code, and a disease trajectory is described in terms of a string of letters. Patient data base records are then represented by such strings with differe

The paper studies the local solvability and subellipticity for square systems of principal type. These are the systems for which the principal symbol vanishes of first order on its kernel. For systems of principal type having constant characteristics, local solvability is equivalent to condition (Ψ) on the eigenvalues. This is a condition on the sign changes of the imaginary part along the oriente

Inflammasomes are large multiprotein complexes that assemble mainly in innate immune cells after detection of microbial or sterile insults. Activation of inflammasomes is a key proinflammatory event during infection, and many pathogens have evolved specific evasion mechanisms to evade or inhibit inflammasome activation. One such pathogen is the common bacterium group A Streptococcus (GAS), which c

This paper presents a fully automated method for segmentation of 3D SPECT ventilation and perfusion images. It relies on statistical information on lung shape derived by CT manual segmentation and its main processing steps are: shape model extraction, binary segmentation, positioning of mean shape in SPECT images and iterative shape adaptation based on intensity profiles and on what is considered

Metal ion catalyzed autoxidation of of aqueous sulfur dioxide in atmospheric droplets is an important pathway for the total oxidation of sulfur dioxide in the atmosphere and for formation of acid rain. This paper presents a summary of the results obtained for the Mn(II/III) catalyzed oxidation of SO2(aq).

The impedance bandwidth of a small antenna is a critical design parameter. In the present paper, we present stored energies which can be used as a tool to predict the largest possible bandwidth for antenna designs within a given region. These predictions are given in terms of the best possible Q-factor that can be attained within the region. The here presented energies are valid for structures tha

Background. Search and selection of primary studies in Systematic Literature Reviews (SLR) is labour intensive, and hard to replicate and update. Aims. We explore a machine learning approach to support semi-automated search and selection in SLRs to address these weaknesses. Method. We 1) train a classi er on an initial set of papers, 2) extend this set of papers by automated search and snowballing

Objectives: C1q is a valuable biomarker of disease activity in systemic lupus erythematosus (SLE). The "gold standard" assay, rocket immunoelectrophoresis (RIE), is time-consuming, and thus a shift to soluble immune precipitation techniques such as nephelometry has occurred. However, quantification of C1q with these techniques has been questioned as a result of the antibody binding properties of C

Bdellovibrio and like organisms (BALOs) are obligate predatory bacteria that selectively prey on a broad range of Gram-negative bacteria, including multidrug-resistant human pathogens. Due to their unique lifestyle, they have been long recognized as a potential therapeutic and biocontrol agent. Research on BALOs has rapidly grown over the recent decade, resulting in many publications concerning mo

The effect of airborne particulate matter on human health is today of considerable research interest. Essential parameters include elemental composition sampling with low pressure cascade impactors and analysis by particle induced x-ray emission spectroscopy (PIXE). It is shown that the aerosol generated by arc welding operations is several orders of magnitude denser than aerosols in ambient air.

Achieving rapid, intuitive, and error-free robot setup and instruction is a challenge. We present our work towards an assistive infrastructure for robot setup and instruction that attempts to address it. In this paper, we describe the ongoing development of a system that automatically generates multimodal dialogue interaction from product and process ontologies. The prototype currently generates t