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Social inequalities in famine mortality in the manorial system of the tsarist Russian province of Livland in the mid-1840s

By relying on longitudinal data on two rural parishes in the Russian Baltic province of Livland, the article analyses two questions concerning famine's short-run effects on mortality in a manorial system: (1) whether there is evidence of a social gradient in mortality during the famine of 1844–6 and (2) whether the manors could protect the peasants against the hardships. The analysis reveals that

Novel thermostable GH5_34 arabinoxylanase with an atypical CBM6, displays activity on oat fibre xylan for prebiotic production

Carbohydrate active enzymes are valuable tools in cereal processing to valorise underutilized side streams. By solubilizing hemicellulose and modifying the fibre structure, novel food products with increased nutritional value can be created. In this study, a novel GH5_34 subfamily arabinoxylanase from Herbinix hemicellulosilytica, HhXyn5A, was identified, produced and extensively characterized

"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