BACKGROUND: The study aimed to show the relationship between a large number of circulating metabolites and subsequent cardiovascular disease (CVD) and subclinical markers of CVD in the general population. METHODS AND RESULTS: In 2278 individuals free from CVD in the EpiHealth study (aged 45–75 years, mean age 61 years, 50% women), 790 annotated nonxenobiotic metabolites were measured by mass spect

Galectin-3-dependent clusters or lattices are formed at the surface as well as in distinct organelles of eukaryotic cells. Incorporation into membrane proximal networks can fix glycoproteins within subcellular domains or sort them into distinct transport pathways. In the present paper we analysed the effect of acidification on the sugar binding and self-oligomerization of galectin-3. Using a fluor

Om bygdespels historia och Ingegerd Christiansson som lokalhistorisk pjäsförfattare.

Streptococcus suis is a Gram-positive bacterium, which causes sepsis and meningitis in pigs and humans. This review examines the role of known S. suis virulence factors in adhesion and S. suis carbohydrate-based adhesion mechanisms, as well as the inhibition of S. suis adhesion by anti-adhesion compounds in in vitro assays. Carbohydrate-binding specificities of S. suis have been identified, and th

Models for human brain-oriented research are often established on primary cultures from rodents, which fails to recapitulate cellular specificity and molecular cues of the human brain. Here we investigated whether neuronal cultures derived from human induced pluripotent stem cells (hiPSCs) feature key advantages compared with rodent primary cultures. Using calcium fluorescence imaging, we tracked

This master’s thesis discusses the implementation of a convolutional neural network on a Field Programmable Gate Array (FPGA). It deals with implementation be describing a tool chain, starting with the designing of a model in Keras, transforming the model to Hardware Descriptive Language, and finally implementing it on an FPGA. Performance on three different scales of the same model topology are c

Implementation och utvärdering av maskininlärningsalgoritmer i en mikrokontroller för kontrollsystem till myoelektrisk protes Till folk som har övre lemamputering så finns det många olika proteser. Något som håller på att utvecklas nu är proteser som kontrolleras av muskelkontraktioner, även kallad myoelektrisk protes. Myoelektrisk protes fungerar genom att ha sensorer som mäter den elektriska aUsing a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. This master thesis presents results from automatically generated Arduino code for some Neural Networks, Convolution Neural Networks and linear machine learning models that was impleme