scispace - formally typeset


University of Potsdam

EducationPotsdam, Germany
About: University of Potsdam is a(n) education organization based out in Potsdam, Germany. It is known for research contribution in the topic(s): Population & Stars. The organization has 9629 authors who have published 26740 publication(s) receiving 759745 citation(s). The organization is also known as: Universität Potsdam.
More filters

01 Mar 2022
Abstract: In Wilson disease, excessive copper accumulates in patients' livers and may, upon serum leakage, severely affect the brain according to current viewpoints. Present remedies aim at avoiding copper toxicity by chelation, for example, by D-penicillamine (DPA) or bis-choline tetrathiomolybdate (ALXN1840), the latter with a very high copper affinity. Hence, ALXN1840 may potentially avoid neurological deterioration that frequently occurs upon DPA treatment. As the etiology of such worsening is unclear, we reasoned that copper loosely bound to albumin, that is, mimicking a potential liver copper leakage into blood, may damage cells that constitute the blood-brain barrier, which was found to be the case in an in vitro model using primary porcine brain capillary endothelial cells. Such blood-brain barrier damage was avoided by ALXN1840, plausibly due to firm protein embedding of the chelator bound copper, but not by DPA. Mitochondrial protection was observed, a prerequisite for blood-brain barrier integrity. Thus, high-affinity copper chelators may minimize such deterioration in the treatment of neurologic Wilson disease.

Journal ArticleDOI
Abstract: Despite geopolitics play a pivotal role in the energy sector, geopolitical aspects are often not considered in the quantitative assessment models aimed at supporting the energy investment decision-making process. To address this issue, this work proposes an Extended Multi-regional Input-Output model (EMRIO) that incorporates import dependence and governance along the value chain. As case study, two alternative energy investments in Mexico – a Natural Gas Power plant (NG) and a Concentrated Solar Power plant (CSP) – are assessed. The method quantifies the geographical diversification of suppliers and the quality of governance. The assessment of the case study shows that the supply chain of the CSP plant includes more countries and with better governance levels than the supply chain of the NG power plant. That means, a priori, that the supply risks of investing in CSP power plants will be lower, as will suppliers' endogenous geopolitical risk. However, a sensitivity analysis considering different providers of the solar plant components reveals that CSP plant value chain could also entail similar or even higher governance risks levels as the NG plant. The scenario where China provides some of the components entails a much higher governance risks, even higher than the NG base case. In consequence, we have proved that the method proposed allows the identification of hidden geopolitical risks that would otherwise go unnoticed. This paper enlarges the existing knowledge on assessment methodologies for energy policy decision-support by measuring diversification and imports dependence from countries with different levels of governance along the whole value chain.

Journal ArticleDOI
Naimeng Zhang1, Naimeng Zhang2, Xianyong Cao3, Qinghai Xu4  +13 moreInstitutions (6)
01 Mar 2022-Catena
Abstract: The nature of the interaction between prehistoric humans and their environment, especially the vegetation, has long been of interest. The Qinghai Lake Basin in North China is well-suited to exploring the interactions between prehistoric humans and vegetation in the Tibetan Plateau, because of the comparatively dense distribution of archaeological sites and the ecologically fragile environment. Previous pollen studies of Qinghai Lake have enabled a detailed reconstruction of the regional vegetation, but they have provided relatively little information on vegetation change within the Qinghai Lake watershed. To address the issue we conducted a pollen-based vegetation reconstruction for an archaeological site (YWY), located on the southern shore of Qinghai Lake. We used high temporal-resolution pollen records from the YWY site and from Qinghai Lake, spanning the interval since the last deglaciation (15.3 kyr BP to the present) to quantitatively reconstruct changes in the local and regional vegetation using Landscape Reconstruction Algorithm models. The results show that, since the lateglacial, spruce forest grew at high altitudes in the surrounding mountains, while the lakeshore environment was occupied mainly by shrub-steppe. From the lateglacial to the middle Holocene, coniferous woodland began to expand downslope and reached the YWY site at ∼ 7.1 kyr BP. The living environment of the local small groups of Paleolithic-Epipaleolithic humans (during 15.3–13.1 kyr BP and 9–6.4 kyr BP) changed from shrub-steppe to coniferous forest–steppe. The pollen record shows no evidence of pronounced changes in the vegetation community corresponding to human activity. However, based on a comparison of the local and regional vegetation reconstructions, low values of biodiversity and a significant increase in two indicators of vegetation degradation, Chenopodiaceae and Rosaceae, suggest that prehistoric hunters-gatherers likely disturbed the local vegetation during ∼ 9.0–6.4 kyr BP. Our findings are a preliminary attempt to study human-environment interactions at Paleolithic-Epipaleolithic sites in the region, and they contribute to ongoing environmental archaeology research in the Tibetan Plateau.

Journal ArticleDOI
Abstract: GNSS Reflectometry (GNSS-R) is a novel remote sensing technique for the monitoring of geophysical parameters using reflected GNSS signals from the Earth's surface. Ocean wind speed monitoring is the main objective of the recently launched Cyclone GNSS (CyGNSS), a GNSS-R constellation of eight microsatellites, launched in late 2016. In this study, the capability of deep learning, especially, for an operational wind speed data derivation from the measured Delay-Doppler Maps (DDMs) is characterized. CyGNSSnet is based on convolutional layers for the feature extraction from bistatic radar cross section (BRCS) DDMs, along with fully connected layers for processing ancillary technical and higher-level input parameters. The best architecture is determined on a validation set and is evaluated over a completely blind dataset from a different time span than that of the training data to validate the generality of the model for operational usage. After a data quality control, CyGNSSnet results in an RMSE of 1.36 m/s leading to a significant improvement by 28% in comparison to the officially operational retrieval algorithm. The RMSE is the lowest among those seen in the literature for any conventional or machine learning-based algorithm. The benefits of the convolutional layers, the advantages and weaknesses of the model are discussed. CyGNSSnet offers efficient processing of GNSS-R measurements for high-quality global ocean winds.

Journal ArticleDOI
Abstract: In computer-mediated communication, emojis can be used for various purposes. As small graphical images, many emojis depict abstract or concrete objects ideogrammatically. We report on a self-paced reading experiment of sentences containing emojis. We tested to what extent emojis encode lexical meanings when used in a sentence context. First, we confirm earlier findings that sentence comprehension does not suffer when emojis replace words. Second, we show that in addition to the graphically encoded concept, emojis in some cases enable the retrieval of an entire lexical entry, including the phonological value of the associated word. This means that even emojis showing a homophonous noun to the target word, such as “palm (tree)” for “palm (of hand)” can be interpreted correctly in context. Based on measured differences in the reading times between words, emojis depicting the intended target referent, and emojis depicting a homophonous noun, we propose a context dependent account of emoji interpretation.


Showing all 9629 results

Cyrus Cooper2041869206782
Markus Antonietti1761068127235
Marc Weber1672716153502
Peter Capak14767970483
Heiner Boeing140102492580
Alisdair R. Fernie133101064026
Klaus-Robert Müller12976479391
Claudia Felser113119858589
Guochun Zhao11340640886
Matthias Steinmetz11246167802
Jürgen Kurths105103862179
Peter Schmidt10563861822
Erwin P. Bottinger10234242089
Knud Jahnke9435231542
Gerd Gigerenzer9453352356
Network Information
Related Institutions (5)
ETH Zurich

122.4K papers, 5.1M citations

95% related

Utrecht University

139.3K papers, 6.2M citations

93% related

Centre national de la recherche scientifique

382.4K papers, 13.6M citations

93% related

University of Colorado Boulder

115.1K papers, 5.3M citations

92% related

University of California, Santa Barbara

80.8K papers, 4.6M citations

92% related

No. of papers from the Institution in previous years