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"En helt annan upplevelse" : Ljudbokens band till sina läsare

Audiobooks have in recent years become widely popular. The format accordingly impacts how many contemporary readers use and experience literature. The article examines this tendency, departing from Rita Felski’s theoretical conceptualizations of uses of literature (Felski 2008). Felski represents a new attention within literary studies toward the ways in which so-called lay readers use, experience

Towards sustainable heavy-duty transportation : Combustion and emissions using renewable fuels in a compression ignition engine

Transportation should become sustainable and available to everyone. Currently, transportation accounts for approx. one sixth of greenhouse gas (GHG) emissions globally, and heavy-duty trucks are responsible for almost 30% of that. When fossil diesel fuel is burned in a compression ignition engine, known as a diesel engine, it releases large amounts of CO2, a GHG, into the air. GHGs confine heat in

Deep label fusion : A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation

Deep convolutional neural networks (DCNN) achieve very high accuracy in segmenting various anatomical structures in medical images but often suffer from relatively poor generalizability. Multi-atlas segmentation (MAS), while less accurate than DCNN in many applications, tends to generalize well to unseen datasets with different characteristics from the training dataset. Several groups have attempt

Clinical impact of influenza vaccination after ST- and non-ST-segment elevation myocardial infarction - insights from the IAMI trial

Background: Influenza vaccination early after myocardial infarction (MI) improves prognosis but vaccine effectiveness may differ dependent on type of MI. Methods: A total of 2,571 participants were prospectively enrolled in the Influenza vaccination after myocardial infarction (IAMI) trial and randomly assigned to receive in-hospital inactivated influenza vaccine or saline placebo. The trial was c

Identification of Distinct Soluble States During Fibril Formation Using Multilinear Analysis of NMR Diffusion Data

Protein misfolding and self-assembling into amyloid structures are associated with a number of diseases. Characterization of protein amyloid formation reactions is a challenging task as transient populations of multiple species are involved. Here we outline a method for identification and characterization of the individual soluble states during protein amyloid formation. The method combines NMR tr