Refine
Year of publication
Document Type
Keywords
- methods: data analysis (4)
- techniques: spectroscopic (4)
- Cortisol (3)
- Sun: magnetic fields (3)
- techniques: polarimetric (3)
- Depression (2)
- HPA (2)
- Longitudinal study (2)
- Mother-infant interaction (2)
- Stress (2)
Institute
- Institut für Physik und Astronomie (20)
- Department Psychologie (17)
- Institut für Biochemie und Biologie (7)
- Institut für Chemie (7)
- Hasso-Plattner-Institut für Digital Engineering GmbH (3)
- Institut für Geowissenschaften (3)
- Sozialwissenschaften (2)
- Department Sport- und Gesundheitswissenschaften (1)
- Institut für Ernährungswissenschaft (1)
- Institut für Umweltwissenschaften und Geographie (1)
Der Band enthält die Tagungsmaterialien des deutsch-russichen Symposiums zum Thema "Verfassungsentwicklung in Russland und Deutschland", welches am 25. und 26. September 2013 in Potsdam stattfand. Die Tagung wurde anlässlich des 20. Jahrestages der russischen Verfassung vom Dezember 2013 durchgeführt. Die inhaltlichen Schwerpunkte bilden die Themen: Verfassungsentstehung, Verfassungsänderung, Verfassungsprinzipien, Landesverfassungen, Fortentwicklung der Verfassung durch die Verfassungsgerichtsbarkeit und Grundrechte, die jeweils aus russischer und deutscher Sicht behandelt werden. Ergänzend befasst sich jeweils ein Betrag mit aktuellen Problemen der Menschenrechtsverwirklichung in Russland und der Ausländerintegration in Deutschland und Russland im Vergleich.
Understanding and accounting for the effect of exchange rate fluctuations on global learning rates
(2020)
Learning rates are a central concept in energy system models and integrated assessment models, as they allow researchers to project the future costs of new technologies and to optimize energy system costs. Here we argue that exchange rate fluctuations are an important, but thus far overlooked, determinant of the learning-rate variance observed in the literature. We explore how empirically observed global learning rates depend on where technologies are installed and which currency is used to calculate the learning rate. Using global data of large-scale photovoltaic (>= 5 MW) plants, we show that the currency choice can result in learning-rate differences of up to 16 percentage points. We then introduce an adjustment factor to correct for the effect of exchange rate and market focus fluctuations and discuss the implications of our findings for innovation scholars, energy modellers and decision makers. <br /> Learning rates are a measure of reduction in costs of energy from technologies such as solar photovoltaics. These are often estimated internationally with all monetary figures converted to a single currency, often US dollars. Lilliestam et al. show that such conversions can significantly affect the learning rate estimates.
Targeted capture coupled with high-throughput sequencing can be used to gain information about nuclear sequence variation at hundreds to thousands of loci. Divergent reference capture makes use of molecular data of one species to enrich target loci in other (related) species. This is particularly valuable for nonmodel organisms, for which often no a priori knowledge exists regarding these loci. Here, we have used targeted capture to obtain data for 809 nuclear coding DNA sequences (CDS) in a nonmodel organism, the Eurasian lynx Lynx lynx, using baits designed with the help of the published genome of a related model organism (the domestic cat Felis catus). Using this approach, we were able to survey intraspecific variation at hundreds of nuclear loci in L. lynx across the species’ European range. A large set of biallelic candidate SNPs was then evaluated using a high-throughput SNP genotyping platform (Fluidigm), which we then reduced to a final 96 SNP-panel based on assay performance and reliability; validation was carried out with 100 additional Eurasian lynx samples not included in the SNP discovery phase. The 96 SNP-panel developed from CDS performed very successfully in the identification of individuals and in population genetic structure inference (including the assignment of individuals to their source population). In keeping with recent studies, our results show that genic SNPs can be valuable for genetic monitoring of wildlife species.
Moving in the Anthropocene
(2018)
Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.