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Nanocomposites of high-pressure polyethylene and zinc oxide nanoparticles are synthesized through thermal decomposition of zinc acetate. The phase composition of the nanocomposites is determined by x-ray diffraction (XRD), and the average size of ZnO nanoparticles is evaluated by transmission electron microscopy. The average size of the nanoparticles varies from 1 to 10 nm, depending on the ZnO co
The aim of this presentation is to examine the complex reception history of Astrid Lindgren's classic children's book “Pippi Longstocking” in the GDR based on the appearance and paper quality of the various editions. “Pippi Longstockning” was published in two different editions in 1975 and 1988 by the East Berlin Children's Book Publishing House (Kinderbuchverlag Berlin). The differences between t
In recent years, school strikes and street protests for climate justice have drawn international attention to young people's mobilisation and activism on global issues. This article addresses the need to map the history of global awareness among young people by exploring the origins of the Operation Dagsverke (Operation Day's Work) campaign in Sweden during the early 1960s. Drawing primarily on ma
Tailoring the activity of an organometallic catalyst usually requires a targeted ligand design. Tuning the ligand bulkiness and tuning the electronic properties are popular approaches, which are somehow interdependent because substituents of different sizes within ligands can determine inter alia the occurrence of different degrees of inductive effects. Ligand basicity, in particular, turned o
Using flow cytometry and microsatellite DNA analysis (MSDA), we studied hybrids between Rubus caesius and various other Rubus species, with an emphasis on Sweden. We show that hybrids between Rubus caesius and Rubus sect. Corylifolii arise easily. They show a large variation in morphology, but can normally be recognised by a number of characters. They are typically hexaploids, but ~13% of the hy
The effect of long-term implantation on metabolically active devices is of utmost importance for not only the success of implanted glucose sensors used in diabetic therapy, but also for the development of artificial tissues and encapsulated cell devices. Such devices are dependent on the constant, predictable supply of metabolites from the local vasculature. Long-term implantation leads to the for
This chapter challenges the view that rising living standards and other indexes of progress in Sweden merely are rewards of technological development, successful industries, and a hard-working population, disconnected from the facts of European colonial history and the severely unequal conditions of contemporary world society. The European context of Swedish industrialisation and the large ecologi
Abstract in French« Un français transformé en suédois ». Voilà comment Alf Lombard se décrivait lui-même. Il est né à Paris, son père était français et sa mère était suédoise. Il manifestait un intérêt global pour les langues romanes, mais à part le français et l’italien, c’est surtout le roumain qui était son domaine préféré. Les articles sur le français, l’italien et le roumain dans ce volume re
Background: Smart technologies, such as smart grids, are emerging as indispensable aspects of an energy transformation and come with hopes of more sustainable resource use. A substantial amount of research has examined the technical, economic, and environmental implications of these technologies, but less attention has been paid to their social aspects. For the smart grid projects to be realised,
Understanding the causes and limits of population divergence in phenotypic traits is a fundamental aim of evolutionary biology, with the potential to yield predictions of adaptation to environmental change. Reciprocal transplant experiments and the evaluation of optimality models suggest that local adaptation is common but not universal, and some studies suggest that trait divergence is highly con
Increasing the modal share of the single wagonload transport in Europe requires improving the reliability and predictability of freight trains running between the yards. In this paper, we propose a novel machine learning-assisted macro simulation framework to increase the predictability of yard departures and arrivals. Machine learning is applied through a random forest algorithm to implement a ya
