Do people prefer offshore to onshore wind energy? The role of ownership and intended use.

Global investments in offshore wind energy are expected to escalate over the coming decades, fueled by improvements in technology, declining costs, and increasing political support. The complexity, scale, and location of these developments make international ownership and export of electricity more feasible. We examine how the general public's acceptance of wind energy will be affected by a political shift in focus from onshore to nearshore or offshore locations, from local or national dominance of ownership to international dominance, and from meeting local or national needs to meeting international ones. We use a nationwide choice experiment with 1612 individuals in Norway to reveal the preferences for these attributes and apply a mixed logit regression model to estimate the willingness to pay to avoid certain outcomes. We show that, although respondents prefer offshore and nearshore locations to onshore ones, they are even more concerned with maintaining local or national control both through ownership and intended use of the added electricity. Although the preferences for national ownership are strong for both nearshore and offshore alternatives, the preference for meeting national needs becomes less important when wind energy developments are located farther off the coast. Three wind energy scenarios are used to further investigate these preferences: 1) international consortium for offshore wind energy, 2) national alliances for nearshore wind energy, and 3) local energy communities for onshore wind energy. We also discuss how a shift to nearshore and offshore wind energy can be enabled by paying greater attention to people's concerns over national control of wind energy resources.Do people prefer offshore to onshore wind energy? The role of ownership and intended use.publishedVersio

David Irving vs. Penguin Books og Deborah Lipstadt: Bakgrunn, innhold og faghistorisk diskusjon

Masteroppgave i historie - Universitetet i Nordland, 201

Direct analysis of microbial populations in soil and freshwater aquifers using nucleic acid based techniques

The first DNA-based methods for direct quantification of soil protozoa, and a DNA-based quantification method to describe the spread of phenanthrene-degrading bacteria in soil and freshwater aquifers, have recently been developed at the BIOPRO Research Centre at the Geological Survey of Denmark and Greenland (GEUS). Well-known genes for phenoxyalcanoic acid degradation have been used to monitor the in situ degradation of phenoxyalcanoic acid pesticides. Studies have been initiated on the short-lived mRNA molecules that are expected to provide a shortcut to the understanding of low, yet important, microbial activity in geological samples. This article reviews recent developments in techniques based on analysis of nucleic acids from soils and aquifers. Analytical work has been carried out mainly on soil samples from a former asphalt production plant at Ringe (Fig. 1). The Ringe plant constitutes one of the most polluted industrial sites in Denmark, and is a priority site of studies by the BIOPRO Research Centre. Although rich in carbon, the Ringe subsoil is an oligotrophic environment due to the high content of polycyclic aromatic hydrocarbons (PAH). This is an environment where the supply of nutrients to microorganisms is low, leading to slow growth, low total numbers of microorganisms and small cells. To study microbial communities of oligotrophic environments, analytical methods with low detection limits are needed. Until recently, microorganisms of natural environments were mainly studied by cultivation-dependent methods. However, microorganisms that can be cultured on agar plates are now known to represent only a small fraction of the total microbial community. Modern methods, therefore, need to be based on the detection of biomolecules in the microorganisms rather than being dependent on growth of the microorganisms. The best available techniques are based on DNA and RNA molecules (Fig. 2), which due to their high level of resolution allow closely related organisms or functional genes to be distinguished. In the following review, examples are given of applications of these nucleic acid based methods

SGP28, a novel matrix glycoprotein in specific granules of human neutrophils with similarity to a human testis-specific gene product and to a rodent sperm-coating glycoprotein

AbstractA novel 28 kDa glycoprotein was purified from exocytosed material from human neutrophils and its primary structure partially determined. Degenerate oligonucleotide primers were used to amplify cDNA clones from a human bone marrow cDNA library. The deduced 245 amino acid sequence of the 2124 bp full-length cDNA showed high degrees of similarity to the deduced sequences of the human gene TPX-1 and of sperm coating glycoprotein from rat and mouse. Subcellular fractionation of human neutrophils indicated that the protein is localized in specific granules. The protein was named SGP28 (specific granule protein of 28 kDa)

AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning

We propose a novel and adaptive feature space distillation method (AFSD) to reduce the communication overhead among distributed computers. The proposed method improves the Codistillation process by supporting longer update interval rates. AFSD performs knowledge distillates across the models infrequently and provides flexibility to the models in terms of exploring diverse variations in the training process. We perform knowledge distillation in terms of sharing the feature space instead of output only. Therefore, we also propose a new loss function for the Codistillation technique in AFSD. Using the feature space leads to more efficient knowledge transfer between models with a longer update interval rates. In our method, the models can achieve the same accuracy as Allreduce and Codistillation with fewer epochs

‘Leaving No One Behind’–Sustainable Development of Sámi Reindeer Husbandry in Norway

Within pastoral systems there is deep knowledge of the dynamics of the landscape and nature; and the Sámi traditional reindeer herding understanding of sustainable reindeer husbandry holds adaptive mechanisms for dealing with changing conditions in nature and extreme weather events. The Norwegian state has had policies for sustainable reindeer husbandry since the early 1990s. This chapter discusses two conceptualizations of sustainable reindeer husbandry – that of the state and that based on Sámi traditional reindeer herding knowledge. Based on public documents and empirical data from a workshop where herders shared observations and reflections from an extreme winter event (goavvi) in Finnmark 2019/2020, we discuss the different knowledge systems and tools for dealing with change embedded in the two conceptualizations. Norway is a strong supporter of the global 2030 Agenda for Sustainable Development building on the principle of ‘leaving no one behind’, yet herders argue that policies and regulations for sustainable reindeer husbandry policies make their livelihoods vulnerable to climate change and other types of environmental change. The gap between the state’s and the participating herders’ understanding of ‘sustainability’ and tools for maintaining the wellbeing of the herd create misunderstandings and mistrust between the actors. Moreover, state decisions undermine the traditional knowledge and practices and push herders to practice a ‘Norwegianized’ type of pastoralism. In the current public management of reindeer husbandry, Sámi traditional reindeer herding knowledge and practices have been left behind.publishedVersio