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Research Data Management (RDM) is a process that is designed to deliver high quality datasets, which comply with scholarly, legal and ethical requirements. There are two outputs of the RDM process: 1. Long term preservation of datasets through archiving 2. Sharing and reuse of datasets for further research and other purposes in society at large. This proposal outlines the creation of a coherent
Abstract in UndeterminedA more or less continuous process of structural change, not least due to a globalizing economy, poses a number of challenges to regions and local communities. However, when firms or whole industries are phasing out, windows of opportunity open up. Empirical analyses of a recent plant closure in the periphery of the Skane Region in Sweden point at the importance of retaining
The need for red blood cells to transport oxygen and CO2, blood platelets to stop bleedings, and neutrophils, macrophages, B- and T-cells for host defense, is a prerequisite for life. These mature blood cells have a limited life span and are thus constantly replenished by an enormous cell production (estimated to 1012 cells per day) which primarily takes place in the bone marrow (BM). Mature blood
Who can play who’s music on who’s terms? What are the conditions for music education in a globalised world? And what kind of research and researchers can provide answers to these kind of questions?
Reducing Peak-to-Average power Ratios (PAR) is an established research topic that has now begun to find its way into products. This gives rise to new questions of dimensioning. Here we address how much PAR reduction that should be applied in a practical system. We demonstrate that the amount of PAR reduction can be found with the appropriate system models. This is applied to the tonereservation PA
