@phdthesis{Bagdahn2021, author = {Bagdahn, Christian}, title = {Synthese und Charakterisierung von Polymerionogelen basierend auf ionischen Fl{\"u}ssigkeiten und Polymethylmethacrylat}, doi = {10.25932/publishup-53287}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-532874}, school = {Universit{\"a}t Potsdam}, pages = {152}, year = {2021}, abstract = {Zentrales Element dieser Arbeit ist die Synthese und Charakterisierung praktisch nutzbarer Ionogele. Die Basis der Polymerionogele bildet das Modellpolymer Polymethylmethacrylat. Als Additive kommen ionische Fl{\"u}ssigkeiten zum Einsatz, deren Grundlage Derivate des vielfach verwendeten Imidazoliumkations sind. Die Eigenschaften der eingebetteten ionischen Fl{\"u}ssigkeiten sind f{\"u}r die Ionogele funktionsgebend. Die Funktionalit{\"a}t der jeweiligen Gele und damit der Transfer der Eigenschaften von ionischen Fl{\"u}ssigkeiten auf die Ionogele wurde in der vorliegenden Arbeit mittels zahlreicher Charakterisierungstechniken {\"u}berpr{\"u}ft und best{\"a}tigt. In dieser Arbeit wurden durch Ionogelbildung makroskopische Ionogelobjekte in Form von Folien und Vliesen erzeugt. Dabei kamen das Filmgießen und das Elektrospinnen als Methoden zur Erzeugung dieser Folien und Vliese zum Einsatz, woraus jeweils ein Modellsystem resultiert. Dadurch wird die vorliegende Arbeit in die Themenkomplexe „elektrisch halbleitende Ionogelfolien" und „antimikrobiell aktive Ionogelvliese" gegliedert. Der Einsatz von triiodidhaltigen ionischen Fl{\"u}ssigkeiten und einer Polymermatrix in einem diskontinuierlichen Gießprozess resultiert in elektrisch halbleitenden Ionogelfolien. Die flexiblen und transparenten Folien k{\"o}nnen Mittelpunkt zahlreicher neuer Anwendungsfelder im Bereich flexibler Elektronik sein. Das Elektrospinnen von Polymethylmethacrylat mit einer ionischen Fl{\"u}ssigkeit f{\"u}hrte zu einem homogen Ionogelvlies, welches ein Modell f{\"u}r die {\"U}bertragung antimikrobiell aktiver Eigenschaften ionischer Fl{\"u}ssigkeiten auf por{\"o}se Strukturen zur Filtration darstellt. Gleichzeitig ist es das erste Beispiel f{\"u}r ein kupferchloridhaltiges Ionogel. Ionogele sind attraktive Materialien mit zahlreichen Anwendungsm{\"o}glichkeiten. Mit der vorliegenden Arbeit wird das Spektrum der Ionogele um ein elektrisch halbleitendes und ein antimikrobiell aktives Ionogel erweitert. Gleichzeitig wurden durch diese Arbeit der Gruppe der ionischen Fl{\"u}ssigkeiten drei Beispiele f{\"u}r elektrisch halbleitende ionische Fl{\"u}ssigkeiten sowie zahlreiche kupfer(II)chloridbasierte ionische Fl{\"u}ssigkeiten hinzugef{\"u}gt.}, language = {de} } @misc{BaeslerMichaelisStibolleretal.2021, author = {Baesler, Jessica and Michaelis, Vivien and Stiboller, Michael and Haase, Hajo and Aschner, Michael and Schwerdtle, Tanja and Sturzenbaum, Stephen R. and Bornhorst, Julia}, title = {Nutritive manganese and zinc overdosing in aging c. elegans result in a metallothionein-mediated alteration in metal homeostasis}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {8}, issn = {1866-8372}, doi = {10.25932/publishup-51499}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-514995}, pages = {13}, year = {2021}, abstract = {Manganese (Mn) and zinc (Zn) are not only essential trace elements, but also potential exogenous risk factors for various diseases. Since the disturbed homeostasis of single metals can result in detrimental health effects, concerns have emerged regarding the consequences of excessive exposures to multiple metals, either via nutritional supplementation or parenteral nutrition. This study focuses on Mn-Zn-interactions in the nematode Caenorhabditis elegans (C. elegans) model, taking into account aspects related to aging and age-dependent neurodegeneration.}, language = {en} } @article{BaeslerMichaelisStibolleretal.2021, author = {Baesler, Jessica and Michaelis, Vivien and Stiboller, Michael and Haase, Hajo and Aschner, Michael and Schwerdtle, Tanja and Sturzenbaum, Stephen R. and Bornhorst, Julia}, title = {Nutritive manganese and zinc overdosing in aging c. elegans result in a metallothionein-mediated alteration in metal homeostasis}, series = {Molecular Nutrition and Food Research}, volume = {65}, journal = {Molecular Nutrition and Food Research}, number = {8}, publisher = {Wiley-VCH GmbH}, address = {Weinheim}, issn = {1613-4133}, doi = {10.1002/mnfr.202001176}, pages = {1 -- 11}, year = {2021}, abstract = {Manganese (Mn) and zinc (Zn) are not only essential trace elements, but also potential exogenous risk factors for various diseases. Since the disturbed homeostasis of single metals can result in detrimental health effects, concerns have emerged regarding the consequences of excessive exposures to multiple metals, either via nutritional supplementation or parenteral nutrition. This study focuses on Mn-Zn-interactions in the nematode Caenorhabditis elegans (C. elegans) model, taking into account aspects related to aging and age-dependent neurodegeneration.}, language = {en} } @phdthesis{Baeseler2021, author = {Baeseler, Jessica}, title = {Trace element effects on longevity and neurodegeneration with focus on C. elegans}, school = {Universit{\"a}t Potsdam}, pages = {X,114,VIII}, year = {2021}, abstract = {The trace elements zinc and manganese are essential for human health, especially due to their enzymatic and protein stabilizing functions. If these elements are ingested in amounts exceeding the requirements, regulatory processes for maintaining their physiological concentrations (homeostasis) can be disturbed. Those homeostatic dysregulations can cause severe health effects including the emergence of neurodegenerative disorders such as Parkinson's disease (PD). The concentrations of essential trace elements also change during the aging process. However, the relations of cause and consequence between increased manganese and zinc uptake and its influence on the aging process and the emergence of the aging-associated PD are still rarely understood. This doctoral thesis therefore aimed to investigate the influence of a nutritive zinc and/or manganese oversupply on the metal homeostasis during the aging process. For that, the model organism Caenorhabditis elegans (C. elegans) was applied. This nematode suits well as an aging and PD model due to properties such as its short life cycle and its completely sequenced, genetically amenable genome. Different protocols for the propagation of zinc- and/or manganese-supplemented young, middle-aged and aged C. elegans were established. Therefore, wildtypes, as well as genetically modified worm strains modeling inheritable forms of parkinsonism were applied. To identify homeostatic and neurological alterations, the nematodes were investigated with different methods including the analysis of total metal contents via inductively-coupled plasma tandem mass spectrometry, a specific probe-based method for quantifying labile zinc, survival assays, gene expression analysis as well as fluorescence microscopy for the identification and quantification of dopaminergic neurodegeneration.. During aging, the levels of iron, as well as zinc and manganese increased.. Furthermore, the simultaneous oversupply with zinc and manganese increased the total zinc and manganese contents to a higher extend than the single metal supplementation. In this relation the C. elegans metallothionein 1 (MTL-1) was identified as an important regulator of metal homeostasis. The total zinc content and the concentration of labile zinc were age-dependently, but differently regulated. This elucidates the importance of distinguishing these parameters as two independent biomarkers for the zinc status. Not the metal oversupply, but aging increased the levels of dopaminergic neurodegeneration. Additionally, nearly all these results yielded differences in the aging-dependent regulation of trace element homeostasis between wildtypes and PD models. This confirms that an increased zinc and manganese intake can influence the aging process as well as parkinsonism by altering homeostasis although the underlying mechanisms need to be clarified in further studies.}, language = {en} } @article{BaertNeytSiedleretal.2021, author = {Baert, By Stijn and Neyt, Brecht and Siedler, Thomas and Tobback, Ilse and Verhaest, Dieter}, title = {Student internships and employment opportunities after graduation}, series = {Economics of education review}, volume = {83}, journal = {Economics of education review}, publisher = {Elsevier}, address = {Oxford}, issn = {0272-7757}, doi = {10.1016/j.econedurev.2021.102141}, pages = {11}, year = {2021}, abstract = {Internships during tertiary education have become substantially more common over the past decades in many industrialised countries. This study examines the impact of a voluntary intra-curricular internship experience during university studies on the probability of being invited to a job interview. To estimate a causal relationship, we conducted a randomised field experiment in which we sent 1248 fictitious, but realistic, resumes to real job openings. We find that applicants with internship experience have, on average, a 12.6\% higher probability of being invited to a job interview.}, language = {en} } @article{Bade2021, author = {Bade, Nadine}, title = {On the scope and nature of Maximise Presupposition}, series = {Language and linguistics compass}, volume = {15}, journal = {Language and linguistics compass}, number = {6}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {1749-818X}, doi = {10.1111/lnc3.12416}, pages = {16}, year = {2021}, abstract = {The paper introduces the principle Maximise Presupposition and its cognates. The main focus of the literature and this article is on the inferences that arise as a result of reasoning with Maximise Presupposition ('anti-presuppositions'). I will review the arguments put forward for distinguishing them from other inference types, most notably presuppositions and conversational implicatures. I will zoom in on three main issues regarding Maximise Presupposition and these inferences critically discussed in the literature: epistemic strength(ening), projection, and the role of alternatives. I will discuss more recent views which argue for either a uniform treatment of anti-presuppositions and implicatures and/or a revision of the original principle in light of new data and developments in pragmatics.}, language = {en} } @phdthesis{BacskaiAtkari2021, author = {Bacskai-Atkari, Julia}, title = {The syntax of functional left peripheries}, school = {Universit{\"a}t Potsdam}, pages = {Vi, 215}, year = {2021}, language = {en} } @article{BacciniHeinzelKoenigArchibugi2021, author = {Baccini, Leonardo and Heinzel, Mirko and Koenig-Archibugi, Mathias}, title = {The social construction of global health priorities}, series = {International studies quarterly}, volume = {66}, journal = {International studies quarterly}, number = {1}, publisher = {Oxford University Press}, address = {Oxford}, issn = {0020-8833}, doi = {10.1093/isq/sqab092}, pages = {15}, year = {2021}, abstract = {Donors of development assistance for health typically provide funding for a range of disease focus areas, such as maternal health and child health, malaria, HIV/AIDS, and other infectious diseases. But funding for each disease category does not match closely its contribution to the disability and loss of life it causes and the cost-effectiveness of interventions. We argue that peer influences in the social construction of global health priorities contribute to explaining this misalignment. Aid policy-makers are embedded in a social environment encompassing other donors, health experts, advocacy groups, and international officials. This social environment influences the conceptual and normative frameworks of decision-makers, which in turn affect their funding priorities. Aid policy-makers are especially likely to emulate decisions on funding priorities taken by peers with whom they are most closely involved in the context of expert and advocacy networks. We draw on novel data on donor connectivity through health IGOs and health INGOs and assess the argument by applying spatial regression models to health aid disbursed globally between 1990 and 2017. The analysis provides strong empirical support for our argument that the involvement in overlapping expert and advocacy networks shapes funding priorities regarding disease categories and recipient countries in health aid.}, language = {en} } @article{AyzelHeistermann2021, author = {Ayzel, Georgy and Heistermann, Maik}, title = {The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU}, series = {Computers \& geosciences : an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets ; an official journal of the International Association for Mathematical Geology}, volume = {149}, journal = {Computers \& geosciences : an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets ; an official journal of the International Association for Mathematical Geology}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0098-3004}, doi = {10.1016/j.cageo.2021.104708}, pages = {12}, year = {2021}, abstract = {We systematically explore the effect of calibration data length on the performance of a conceptual hydrological model, GR4H, in comparison to two Artificial Neural Network (ANN) architectures: Long Short-Term Memory Networks (LSTM) and Gated Recurrent Units (GRU), which have just recently been introduced to the field of hydrology. We implemented a case study for six river basins across the contiguous United States, with 25 years of meteorological and discharge data. Nine years were reserved for independent validation; two years were used as a warm-up period, one year for each of the calibration and validation periods, respectively; from the remaining 14 years, we sampled increasing amounts of data for model calibration, and found pronounced differences in model performance. While GR4H required less data to converge, LSTM and GRU caught up at a remarkable rate, considering their number of parameters. Also, LSTM and GRU exhibited the higher calibration instability in comparison to GR4H. These findings confirm the potential of modern deep-learning architectures in rainfall runoff modelling, but also highlight the noticeable differences between them in regard to the effect of calibration data length.}, language = {en} } @phdthesis{Ayzel2021, author = {Ayzel, Georgy}, title = {Advancing radar-based precipitation nowcasting}, doi = {10.25932/publishup-50426}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-504267}, school = {Universit{\"a}t Potsdam}, pages = {xx, 68}, year = {2021}, abstract = {Precipitation forecasting has an important place in everyday life - during the day we may have tens of small talks discussing the likelihood that it will rain this evening or weekend. Should you take an umbrella for a walk? Or should you invite your friends for a barbecue? It will certainly depend on what your weather application shows. While for years people were guided by the precipitation forecasts issued for a particular region or city several times a day, the widespread availability of weather radars allowed us to obtain forecasts at much higher spatiotemporal resolution of minutes in time and hundreds of meters in space. Hence, radar-based precipitation nowcasting, that is, very-short-range forecasting (typically up to 1-3 h), has become an essential technique, also in various professional application contexts, e.g., early warning, sewage control, or agriculture. There are two major components comprising a system for precipitation nowcasting: radar-based precipitation estimates, and models to extrapolate that precipitation to the imminent future. While acknowledging the fundamental importance of radar-based precipitation retrieval for precipitation nowcasts, this thesis focuses only on the model development: the establishment of open and competitive benchmark models, the investigation of the potential of deep learning, and the development of procedures for nowcast errors diagnosis and isolation that can guide model development. The present landscape of computational models for precipitation nowcasting still struggles with the availability of open software implementations that could serve as benchmarks for measuring progress. Focusing on this gap, we have developed and extensively benchmarked a stack of models based on different optical flow algorithms for the tracking step and a set of parsimonious extrapolation procedures based on image warping and advection. We demonstrate that these models provide skillful predictions comparable with or even superior to state-of-the-art operational software. We distribute the corresponding set of models as a software library, rainymotion, which is written in the Python programming language and openly available at GitHub (https://github.com/hydrogo/rainymotion). That way, the library acts as a tool for providing fast, open, and transparent solutions that could serve as a benchmark for further model development and hypothesis testing. One of the promising directions for model development is to challenge the potential of deep learning - a subfield of machine learning that refers to artificial neural networks with deep architectures, which may consist of many computational layers. Deep learning showed promising results in many fields of computer science, such as image and speech recognition, or natural language processing, where it started to dramatically outperform reference methods. The high benefit of using "big data" for training is among the main reasons for that. Hence, the emerging interest in deep learning in atmospheric sciences is also caused and concerted with the increasing availability of data - both observational and model-based. The large archives of weather radar data provide a solid basis for investigation of deep learning potential in precipitation nowcasting: one year of national 5-min composites for Germany comprises around 85 billion data points. To this aim, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. RainNet was trained to predict continuous precipitation intensities at a lead time of 5 min, using several years of quality-controlled weather radar composites provided by the German Weather Service (DWD). That data set covers Germany with a spatial domain of 900 km x 900 km and has a resolution of 1 km in space and 5 min in time. Independent verification experiments were carried out on 11 summer precipitation events from 2016 to 2017. In these experiments, RainNet was applied recursively in order to achieve lead times of up to 1 h. In the verification experiments, trivial Eulerian persistence and a conventional model based on optical flow served as benchmarks. The latter is available in the previously developed rainymotion library. RainNet significantly outperformed the benchmark models at all lead times up to 60 min for the routine verification metrics mean absolute error (MAE) and critical success index (CSI) at intensity thresholds of 0.125, 1, and 5 mm/h. However, rainymotion turned out to be superior in predicting the exceedance of higher intensity thresholds (here 10 and 15 mm/h). The limited ability of RainNet to predict high rainfall intensities is an undesirable property which we attribute to a high level of spatial smoothing introduced by the model. At a lead time of 5 min, an analysis of power spectral density confirmed a significant loss of spectral power at length scales of 16 km and below. Obviously, RainNet had learned an optimal level of smoothing to produce a nowcast at 5 min lead time. In that sense, the loss of spectral power at small scales is informative, too, as it reflects the limits of predictability as a function of spatial scale. Beyond the lead time of 5 min, however, the increasing level of smoothing is a mere artifact - an analogue to numerical diffusion - that is not a property of RainNet itself but of its recursive application. In the context of early warning, the smoothing is particularly unfavorable since pronounced features of intense precipitation tend to get lost over longer lead times. Hence, we propose several options to address this issue in prospective research on model development for precipitation nowcasting, including an adjustment of the loss function for model training, model training for longer lead times, and the prediction of threshold exceedance. The model development together with the verification experiments for both conventional and deep learning model predictions also revealed the need to better understand the source of forecast errors. Understanding the dominant sources of error in specific situations should help in guiding further model improvement. The total error of a precipitation nowcast consists of an error in the predicted location of a precipitation feature and an error in the change of precipitation intensity over lead time. So far, verification measures did not allow to isolate the location error, making it difficult to specifically improve nowcast models with regard to location prediction. To fill this gap, we introduced a framework to directly quantify the location error. To that end, we detect and track scale-invariant precipitation features (corners) in radar images. We then consider these observed tracks as the true reference in order to evaluate the performance (or, inversely, the error) of any model that aims to predict the future location of a precipitation feature. Hence, the location error of a forecast at any lead time ahead of the forecast time corresponds to the Euclidean distance between the observed and the predicted feature location at the corresponding lead time. Based on this framework, we carried out a benchmarking case study using one year worth of weather radar composites of the DWD. We evaluated the performance of four extrapolation models, two of which are based on the linear extrapolation of corner motion; and the remaining two are based on the Dense Inverse Search (DIS) method: motion vectors obtained from DIS are used to predict feature locations by linear and Semi-Lagrangian extrapolation. For all competing models, the mean location error exceeds a distance of 5 km after 60 min, and 10 km after 110 min. At least 25\% of all forecasts exceed an error of 5 km after 50 min, and of 10 km after 90 min. Even for the best models in our experiment, at least 5 percent of the forecasts will have a location error of more than 10 km after 45 min. When we relate such errors to application scenarios that are typically suggested for precipitation nowcasting, e.g., early warning, it becomes obvious that location errors matter: the order of magnitude of these errors is about the same as the typical extent of a convective cell. Hence, the uncertainty of precipitation nowcasts at such length scales - just as a result of locational errors - can be substantial already at lead times of less than 1 h. Being able to quantify the location error should hence guide any model development that is targeted towards its minimization. To that aim, we also consider the high potential of using deep learning architectures specific to the assimilation of sequential (track) data. Last but not least, the thesis demonstrates the benefits of a general movement towards open science for model development in the field of precipitation nowcasting. All the presented models and frameworks are distributed as open repositories, thus enhancing transparency and reproducibility of the methodological approach. Furthermore, they are readily available to be used for further research studies, as well as for practical applications.}, language = {en} } @article{Ayzel2021, author = {Ayzel, Georgy}, title = {Deep neural networks in hydrology}, series = {Vestnik of Saint Petersburg University. Earth Sciences}, volume = {66}, journal = {Vestnik of Saint Petersburg University. Earth Sciences}, number = {1}, publisher = {Univ. Press}, address = {St. Petersburg}, issn = {2541-9668}, doi = {10.21638/spbu07.2021.101}, pages = {5 -- 18}, year = {2021}, abstract = {For around a decade, deep learning - the sub-field of machine learning that refers to artificial neural networks comprised of many computational layers - modifies the landscape of statistical model development in many research areas, such as image classification, machine translation, and speech recognition. Geoscientific disciplines in general and the field of hydrology in particular, also do not stand aside from this movement. Recently, the proliferation of modern deep learning-based techniques and methods has been actively gaining popularity for solving a wide range of hydrological problems: modeling and forecasting of river runoff, hydrological model parameters regionalization, assessment of available water resources. identification of the main drivers of the recent change in water balance components. This growing popularity of deep neural networks is primarily due to their high universality and efficiency. The presented qualities, together with the rapidly growing amount of accumulated environmental information, as well as increasing availability of computing facilities and resources, allow us to speak about deep neural networks as a new generation of mathematical models designed to, if not to replace existing solutions, but significantly enrich the field of geophysical processes modeling. This paper provides a brief overview of the current state of the field of development and application of deep neural networks in hydrology. Also in the following study, the qualitative long-term forecast regarding the development of deep learning technology for managing the corresponding hydrological modeling challenges is provided based on the use of "Gartner Hype Curve", which in the general details describes a life cycle of modern technologies.}, language = {en} } @article{AyanbayevKlebanovLieetal.2021, author = {Ayanbayev, Birzhan and Klebanov, Ilja and Lie, Han Cheng and Sullivan, Tim J.}, title = {Gamma-convergence of Onsager-Machlup functionals}, series = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data}, volume = {38}, journal = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data}, number = {2}, publisher = {IOP Publ. Ltd.}, address = {Bristol}, issn = {0266-5611}, doi = {10.1088/1361-6420/ac3f82}, pages = {35}, year = {2021}, abstract = {We derive Onsager-Machlup functionals for countable product measures on weighted l(p) subspaces of the sequence space R-N. Each measure in the product is a shifted and scaled copy of a reference probability measure on R that admits a sufficiently regular Lebesgue density. We study the equicoercivity and Gamma-convergence of sequences of Onsager-Machlup functionals associated to convergent sequences of measures within this class. We use these results to establish analogous results for probability measures on separable Banach or Hilbert spaces, including Gaussian, Cauchy, and Besov measures with summability parameter 1 <= p <= 2. Together with part I of this paper, this provides a basis for analysis of the convergence of maximum a posteriori estimators in Bayesian inverse problems and most likely paths in transition path theory.}, language = {en} } @article{AyanbayevKlebanovLietal.2021, author = {Ayanbayev, Birzhan and Klebanov, Ilja and Li, Han Cheng and Sullivan, Tim J.}, title = {Gamma-convergence of Onsager-Machlup functionals}, series = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data}, volume = {38}, journal = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data}, number = {2}, publisher = {IOP Publ. Ltd.}, address = {Bristol}, issn = {0266-5611}, doi = {10.1088/1361-6420/ac3f81}, pages = {32}, year = {2021}, abstract = {The Bayesian solution to a statistical inverse problem can be summarised by a mode of the posterior distribution, i.e. a maximum a posteriori (MAP) estimator. The MAP estimator essentially coincides with the (regularised) variational solution to the inverse problem, seen as minimisation of the Onsager-Machlup (OM) functional of the posterior measure. An open problem in the stability analysis of inverse problems is to establish a relationship between the convergence properties of solutions obtained by the variational approach and by the Bayesian approach. To address this problem, we propose a general convergence theory for modes that is based on the Gamma-convergence of OM functionals, and apply this theory to Bayesian inverse problems with Gaussian and edge-preserving Besov priors. Part II of this paper considers more general prior distributions.}, language = {en} } @phdthesis{AyBryson2021, author = {Ay-Bryson, Destina Sevde}, title = {The authenticity of simulated patients in psychotherapy training and research}, doi = {10.25932/publishup-53373}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-533735}, school = {Universit{\"a}t Potsdam}, year = {2021}, abstract = {Mental health problems are highly prevalent worldwide. Fortunately, psychotherapy has proven highly effective in the treatment of a number of mental health issues, such as depression and anxiety disorders. In contrast, psychotherapy training as is practised currently cannot be considered evidence-based. Thus, there is much room for improvement. The integration of simulated patients (SPs) into psychotherapy training and research is on the rise. SPs originate from the medical education and have, in a number of studies, been demonstrated to contribute to effective learning environments. Nevertheless, there has been voiced criticism regarding the authenticity of SP portrayals, but few studies have examined this to date. Based on these considerations, this dissertation explores SPs' authenticity while portraying a mental disorder, depression. Altogether, the present cumulative dissertation consists of three empirical papers. At the time of printing, Paper I and Paper III have been accepted for publication, and Paper II is under review after a minor revision. First, Paper I develops and validates an observer-based rating-scale to assess SP authenticity in psychotherapeutic contexts. Based on the preliminary findings, it can be concluded that the Authenticity of Patient Demonstrations scale is a reliable and valid tool that can be used for recruiting, training, and evaluating the authenticity of SPs. Second, Paper II tests whether student SPs are perceived as more authentic after they receive an in-depth role-script compared to those SPs who only receive basic information on the patient case. To test this assumption, a randomised controlled study design was implemented and the hypothesis could be confirmed. As a consequence, when engaging SPs, an in-depth role-script with details, e.g. on nonverbal behaviour and feelings of the patient, should be provided. Third, Paper III demonstrates that psychotherapy trainees cannot distinguish between trained SPs and real patients and therefore suggests that, with proper training, SPs are a promising training method for psychotherapy. Altogether, the dissertation shows that SPs can be trained to portray a depressive patient authentically and thus delivers promising evidence for the further dissemination of SPs.}, language = {en} } @article{AuerKrieglerCarlsenetal.2021, author = {Auer, Cornelia and Kriegler, Elmar and Carlsen, Henrik and Kok, Kasper and Pedde, Simona and Krey, Volker and M{\"u}ller, Boris}, title = {Climate change scenario services}, series = {One earth}, volume = {4}, journal = {One earth}, number = {8}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-3322}, doi = {10.1016/j.oneear.2021.07.015}, pages = {1074 -- 1082}, year = {2021}, abstract = {The goal of limiting global warming to well below 2°C as set out in the Paris Agreement calls for a strategic assessment of societal pathways and policy strategies. Besides policy makers, new powerful actors from the private sector, including finance, have stepped up to engage in forward-looking assessments of a Paris-compliant and climate-resilient future. Climate change scenarios have addressed this demand by providing scientific insights on the possible pathways ahead to limit warming in line with the Paris climate goal. Despite the increased interest, the potential of climate change scenarios has not been fully unleashed, mostly due to a lack of an intermediary service that provides guidance and access to climate change scenarios. This perspective presents the concept of a climate change scenario service, its components, and a prototypical implementation to overcome this shortcoming aiming to make scenarios accessible to a broader audience of societal actors and decision makers.}, language = {en} } @article{AstudilloSotomayorJaraMunozMelnicketal.2021, author = {Astudillo-Sotomayor, Luis and Jara Mu{\~n}oz, Julius and Melnick, Daniel and Cort{\´e}s-Aranda, Joaqu{\´i}n and Tassara, Andr{\´e}s and Strecker, Manfred}, title = {Fast Holocene slip and localized strain along the Liqui{\~n}e-Ofqui strike-slip fault system, Chile}, series = {Scientific reports}, volume = {11}, journal = {Scientific reports}, number = {1}, publisher = {Macmillan Publishers Limited, part of Springer Nature}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-021-85036-5}, pages = {10}, year = {2021}, abstract = {In active tectonic settings dominated by strike-slip kinematics, slip partitioning across subparallel faults is a common feature; therefore, assessing the degree of partitioning and strain localization is paramount for seismic hazard assessments. Here, we estimate a slip rate of 18.8 +/- 2.0 mm/year over the past 9.0 +/- 0.1 ka for a single strand of the Liquirie-Ofqui Fault System, which straddles the Main Cordillera in Southern Chile. This Holocene rate accounts for similar to 82\% of the trench-parallel component of oblique plate convergence and is similar to million-year estimates integrated over the entire fault system. Our results imply that strain localizes on a single fault at millennial time scale but over longer time scales strain localization is not sustained. The fast millennial slip rate in the absence of historical Mw> 6.5 earthquakes along the Liquine-Ofqui Fault System implies either a component of aseismic slip or Mw similar to 7 earthquakes involving multi-trace ruptures and > 150-year repeat times. Our results have implications for the understanding of strike-slip fault system dynamics within volcanic arcs and seismic hazard assessments.}, language = {en} } @article{AscheSchindling2021, author = {Asche, Matthias and Schindling, Anton}, title = {Konfessionspolitik und Religionsfrieden}, series = {Vom ein- zum mehrkonfessionellen Landesstaat - die Religionsfrage in den brandenburgisch-preußischen Territorien vom 16. bis zum fr{\"u}hen 18. Jahrhundert (= Forschungen zur Brandenburgischen und Preußischen Geschichte. Neue Folge. Beihefte 16)}, journal = {Vom ein- zum mehrkonfessionellen Landesstaat - die Religionsfrage in den brandenburgisch-preußischen Territorien vom 16. bis zum fr{\"u}hen 18. Jahrhundert (= Forschungen zur Brandenburgischen und Preußischen Geschichte. Neue Folge. Beihefte 16)}, number = {16}, publisher = {Duncker \& Humblot}, address = {Berlin}, isbn = {978-3-428-18174-2}, pages = {15 -- 40}, year = {2021}, language = {de} } @article{AscheGerber2021, author = {Asche, Matthias and Gerber, Stefan}, title = {Universit{\"a}t}, series = {Historische Bildungsforschung. Konzepte - Methoden - Forschungsfelder}, journal = {Historische Bildungsforschung. Konzepte - Methoden - Forschungsfelder}, publisher = {Klinkhardt}, address = {Bad Heilbrunn}, isbn = {978-3-8252-5563-3}, pages = {299 -- 312}, year = {2021}, language = {de} } @article{AscheCzechGoeseetal.2021, author = {Asche, Matthias and Czech, Vinzenz and G{\"o}se, Frank and Neitmann, Klaus}, title = {Zur Einf{\"u}hrung}, series = {Brandenburgische Erinnerungsorte - Erinnerungsorte in Brandenburg, Bd. 1 (= Einzelver{\"o}ffentlichungen der Brandenburgischen Historischen Kommission e.V. 24)}, journal = {Brandenburgische Erinnerungsorte - Erinnerungsorte in Brandenburg, Bd. 1 (= Einzelver{\"o}ffentlichungen der Brandenburgischen Historischen Kommission e.V. 24)}, editor = {Asche, Matthias and Czech, Vinzenz and G{\"o}se, Frank and Neitmann, Klaus}, publisher = {be.bra wissenschaft verlag}, address = {Berlin}, isbn = {978-3-95410-294-5}, pages = {7 -- 13}, year = {2021}, language = {de} } @article{Asche2021, author = {Asche, Matthias}, title = {Von der Provinz in die Metropole}, series = {Berliner Geschichte - Zeitschrift f{\"u}r Geschichte und Kultur : K{\"o}nigin Luise}, journal = {Berliner Geschichte - Zeitschrift f{\"u}r Geschichte und Kultur : K{\"o}nigin Luise}, number = {25}, publisher = {Elsengold}, address = {Berlin}, isbn = {978-3-96201-062-1}, issn = {2364-3080}, pages = {7 -- 17}, year = {2021}, abstract = {Der Artikel besch{\"a}ftigt sich dezidiert mit der Herkunft der K{\"o}nigin Luise und widmet sich neben dynastischen Verflechtungen auch ihren Kinder- und Jugendjahren.}, language = {de} }