Refine
Year of publication
Document Type
- Article (35734)
- Doctoral Thesis (6485)
- Monograph/Edited Volume (5548)
- Postprint (3296)
- Review (2291)
- Part of a Book (1066)
- Other (911)
- Preprint (567)
- Conference Proceeding (539)
- Part of Periodical (525)
Language
Keywords
- Germany (202)
- climate change (182)
- Deutschland (142)
- machine learning (82)
- European Union (79)
- diffusion (78)
- Sprachtherapie (77)
- morphology (74)
- Logopädie (73)
- Migration (73)
Institute
- Institut für Biochemie und Biologie (5444)
- Institut für Physik und Astronomie (5420)
- Institut für Geowissenschaften (3645)
- Institut für Chemie (3480)
- Wirtschaftswissenschaften (2645)
- Historisches Institut (2511)
- Department Psychologie (2344)
- Institut für Mathematik (2144)
- Institut für Romanistik (2108)
- Sozialwissenschaften (1883)
- Extern (1578)
- Institut für Umweltwissenschaften und Geographie (1568)
- Department Sport- und Gesundheitswissenschaften (1493)
- Department Erziehungswissenschaft (1467)
- Institut für Germanistik (1440)
- Department Linguistik (1386)
- Bürgerliches Recht (1339)
- Institut für Ernährungswissenschaft (1265)
- Institut für Jüdische Studien und Religionswissenschaft (1146)
- Öffentliches Recht (1135)
- MenschenRechtsZentrum (1130)
- Institut für Informatik und Computational Science (1109)
- Institut für Anglistik und Amerikanistik (766)
- WeltTrends e.V. Potsdam (660)
- Department Grundschulpädagogik (632)
- Institut für Slavistik (588)
- Philosophische Fakultät (563)
- Mathematisch-Naturwissenschaftliche Fakultät (544)
- Strafrecht (477)
- Fachgruppe Politik- & Verwaltungswissenschaft (462)
- Vereinigung für Jüdische Studien e. V. (455)
- Strukturbereich Kognitionswissenschaften (425)
- Hasso-Plattner-Institut für Digital Engineering GmbH (416)
- Hasso-Plattner-Institut für Digital Engineering gGmbH (408)
- Institut für Künste und Medien (387)
- Fachgruppe Betriebswirtschaftslehre (385)
- Lehreinheit für Wirtschafts-Arbeit-Technik (306)
- Humanwissenschaftliche Fakultät (293)
- Department für Inklusionspädagogik (290)
- Zentrum für Lehrerbildung und Bildungsforschung (ZeLB) (245)
- Department Musik und Kunst (241)
- Kommunalwissenschaftliches Institut (222)
- Fachgruppe Soziologie (212)
- Fachgruppe Volkswirtschaftslehre (190)
- Institut für Philosophie (185)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (165)
- Zentrum für Umweltwissenschaften (165)
- Referat für Presse- und Öffentlichkeitsarbeit (138)
- Klassische Philologie (123)
- Interdisziplinäres Zentrum für Dynamik komplexer Systeme (120)
- Strukturbereich Bildungswissenschaften (114)
- Institut für Jüdische Theologie (96)
- Arbeitskreis Militär und Gesellschaft in der Frühen Neuzeit e. V. (92)
- Verband für Patholinguistik e. V. (vpl) (87)
- Zentrum für Gerechtigkeitsforschung (87)
- Center for Economic Policy Analysis (CEPA) (79)
- Zentrum für Sprachen und Schlüsselkompetenzen (Zessko) (79)
- Fakultät für Gesundheitswissenschaften (76)
- An-Institute (72)
- Institut für Religionswissenschaft (65)
- Universitätsbibliothek (61)
- Zentrum für Qualitätsentwicklung in Lehre und Studium (ZfQ) (57)
- ZIM - Zentrum für Informationstechnologie und Medienmanagement (49)
- Berlin Potsdam Research Group "The International Rule of Law - Rise or Decline?" (46)
- Juristische Fakultät (34)
- Moses Mendelssohn Zentrum für europäisch-jüdische Studien e. V. (34)
- Universitätsleitung und Verwaltung (34)
- dbs Deutscher Bundesverband für akademische Sprachtherapie und Logopädie e.V. (31)
- Zentrum für Lern- und Lehrforschung (30)
- Institut für Lebensgestaltung-Ethik-Religionskunde (27)
- Interdisziplinäres Zentrum für Dünne Organische und Biochemische Schichten (26)
- Sonderforschungsbereich 632 - Informationsstruktur (25)
- Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung (23)
- Potsdam Research Institute for Multilingualism (PRIM) (18)
- Dezernat 2: Studienangelegenheiten (16)
- Hochschulambulanz (16)
- Potsdam Transfer - Zentrum für Gründung, Innovation, Wissens- und Technologietransfer (16)
- Potsdam Institute for Climate Impact Research (PIK) e. V. (13)
- Interdisziplinäres Zentrum für Biopolymere (12)
- Organe und Gremien (11)
- Digital Engineering Fakultät (10)
- Institut für angewandte Familien-, Kindheits- und Jugendforschung e.V. (10)
- Präsident | Vizepräsidenten (9)
- Deutsches MEGA-Konsortialbüro an der Universität Potsdam (8)
- Abraham Geiger Kolleg gGmbH (7)
- Netzwerk Studienqualität Brandenburg (sqb) (7)
- Gleichstellungsbeauftragte (6)
- Interdisziplinäres Zentrum für Kognitive Studien (6)
- Multilingualism (6)
- Patholinguistics/Neurocognition of Language (6)
- Theodor-Fontane-Archiv (6)
- Zentrum für Australienforschung (6)
- Senat (5)
- Forschungsbereich „Politik, Verwaltung und Management“ (4)
- Gesundheitsmanagement (4)
- Kanonistisches Institut e.V. (4)
- Psycholinguistics and Neurolinguistics (4)
- Akademie für Psychotherapie und Interventionsforschung GmbH (3)
- Kanzler (3)
- Projekte (3)
- UP Transfer (3)
- eLiS - E-Learning in Studienbereichen (3)
- DV und Statistik Wirtschaftswissenschaften (2)
- Kommissionen des Senats (2)
- Language Acquisition (2)
- Zentrale und wissenschaftliche Einrichtungen (2)
- Allgemeine Studierendenausschuss (AStA) (1)
- Applied Computational Linguistics (1)
- Botanischer Garten (1)
- Career Service (1)
- Chief Information Officer (CIO) (1)
- Evangelisches Institut für Kirchenrecht e.V. (1)
- Foundations of Computational Linguistics (1)
- Geschlechtersoziologie (1)
- Interdisziplinäres Zentrum für Massenspektronomie von Biopolymeren (1)
- Phonology & Phonetics (1)
- Potsdam Graduate School (1)
- Präsidialamt (1)
- Redaktion *studere (1)
- Studierendenparlament (StuPa) (1)
- Syntax, Morphology & Variability (1)
- Weitere Einrichtungen (1)
About 15 years ago, the first Massive Open Online Courses (MOOCs) appeared and revolutionized online education with more interactive and engaging course designs. Yet, keeping learners motivated and ensuring high satisfaction is one of the challenges today's course designers face. Therefore, many MOOC providers employed gamification elements that only boost extrinsic motivation briefly and are limited to platform support. In this article, we introduce and evaluate a gameful learning design we used in several iterations on computer science education courses. For each of the courses on the fundamentals of the Java programming language, we developed a self-contained, continuous story that accompanies learners through their learning journey and helps visualize key concepts. Furthermore, we share our approach to creating the surrounding story in our MOOCs and provide a guideline for educators to develop their own stories. Our data and the long-term evaluation spanning over four Java courses between 2017 and 2021 indicates the openness of learners toward storified programming courses in general and highlights those elements that had the highest impact. While only a few learners did not like the story at all, most learners consumed the additional story elements we provided. However, learners' interest in influencing the story through majority voting was negligible and did not show a considerable positive impact, so we continued with a fixed story instead. We did not find evidence that learners just participated in the narrative because they worked on all materials. Instead, for 10-16% of learners, the story was their main course motivation. We also investigated differences in the presentation format and concluded that several longer audio-book style videos were most preferred by learners in comparison to animated videos or different textual formats. Surprisingly, the availability of a coherent story embedding examples and providing a context for the practical programming exercises also led to a slightly higher ranking in the perceived quality of the learning material (by 4%). With our research in the context of storified MOOCs, we advance gameful learning designs, foster learner engagement and satisfaction in online courses, and help educators ease knowledge transfer for their learners.
Aptamers are single-stranded DNA (ssDNA) or RNA molecules that can bind specifically and with high affinity to target molecules due to their unique three-dimensional structure. For this reason, they are often compared to antibodies and sometimes even referred to as “chemical antibodies”. They are simple and inexpensive to synthesize, easy to modify, and smaller than conventional antibodies. Enzymes, especially hydrolases, are interesting targets in this context. This class of enzymes is capable of hydrolytically cleaving various macromolecules such as proteins, as well as smaller molecules such as antibiotics. Hence, they play an important role in many biological processes including diseases and their treatment. Hydrolase detection as well as the understanding of their function is therefore of great importance for diagnostics and therapy. Due to their various desirable features compared to antibodies, aptamers are being discussed as alternative agents for analytical and diagnostic use in various applications. The use of aptamers in therapy is also frequently investigated, as the binding of aptamers can have effects on the catalytic activity, protein-protein interactions, or proteolytic cascades. Aptamers are generated by an in vitro selection process. Potential aptamer candidates are selected from a pool of enriched nucleic acid sequences with affinity to the target, and their binding affinity and specificity is investigated. This is one of the most important steps in aptamer generation to obtain specific aptamers with high affinity for use in analytical and diagnostic applications. The binding properties or binding domains and their effects on enzyme functions form the basis for therapeutic applications.
In this work, the binding properties of DNA aptamers against two different hydrolases were investigated. In view of their potential utility for analytical methods, aptamers against human urokinase (uPA) and New Delhi metallo-β-lactamase-1 (NDM-1) were evaluated for their binding affinity and specificity using different methods. Using the uPA aptamers, a protocol for measuring the binding kinetics of an aptamer-protein-interaction by surface plasmon resonance spectroscopy (SPR) was developed. Based on the increased expression of uPA in different types of cancer, uPA is discussed as a prognostic and diagnostic tumor marker. As uPA aptamers showed different binding sites on the protein, microtiter plate-based aptamer sandwich assay systems for the detection of uPA were developed. Because of the function of urokinase in cancer cell proliferation and metastasis, uPA is also discussed as a therapeutic target. In this regard, the different binding sites of aptamers showed different effects on uPA function. In vitro experiments demonstrated both inhibition of uPA binding to its receptor as well as the inhibition of uPA catalytic activity for different aptamers. Thus, in addition to their specificity and affinity for their targets, the utility of the aptamers for potential diagnostic and therapeutic applications was demonstrated. First, as an alternative inhibitor of human urokinase for therapeutic purposes, and second, as valuable recognition molecules for the detection of urokinase, as a prognostic and diagnostic marker for cancer, and for NDM-1 to detect resistance to carbapenem antibiotics.
Eskalation in Tweets
(2023)
Eskalation
(2023)
Die Ereignisse um den G20-Gipfel im Juli 2017 haben viele Menschen schockiert und die Hamburger Stadtgesellschaft gespalten. Sie stehen in starkem Kontrast zu dem Sicherheitsversprechen, das der Senat im Vorfeld abgegeben hat, ebenso wie zu der Ankündigung, der Gipfel werde ein „Festival der Demokratie“. Dass ein Gipfelprotest in Unruhen mit breiter Beteiligung überging aber auch das teils gewaltsame polizeiliche Vorgehen gegen Protestierende ist erklärungsbedürftig. In der anhaltenden Diskussion über die Hintergründe der Auseinandersetzungen werden zumeist entweder die Polizei oder „gewaltbereite Gruppen“ für das Ausmaß der Gewalt verantwortlich gemacht. Letzteres lässt sich jedoch nur bedingt aus Motiven und vorgefassten Plänen bestimmter Akteure ableiten. Ein großer Teil der Gewalt entsteht – dies gerät allzu oft aus dem Blick – maßgeblich in Prozessen der Eskalation, in denen die Handlungen der verschiedenen Beteiligten miteinander verflochten sind, insofern sie auf Grundlage ihrer Deutung vorangegangener Erfahrungen und ihrer Wahrnehmung des Gegenübers aufeinander reagieren. Situationen der Gewalt haben zudem ihre eigene, in manchen Fällen kaum steuerbare, Dynamik. Der Bericht rekonstruiert, wie und warum die Gewalt in Hamburg in dieser Form eskalierte. Er enthält sich weitgehend einer moralischen Einordnung. Er beleuchtet konkrete Situationen des Aufeinandertreffens der Konfliktparteien und bettet sie in einen größeren Kontext ein, unter anderem in Hinblick auf die Konstitution der beteiligten Gruppen und in Hinblick auf die mediale Deutung des Geschehens. Der Bericht fasst die ersten Ergebnisse eines Forschungsprojektes zusammen, an dem über acht Monate mehr als 20 Gewalt-, Protest- und Polizeiforscher*innen mitgewirkt haben. Er beruht auf einer Vielzahl unterschiedlicher Quellen: Interviews mit Beteiligten, Dokumente, Filmaufnahmen und Fotografien, die Kommunikation auf Twitter und die Berichterstattung in ausgewählten Tageszeitungen, Beobachtungsprotokolle aus der Protestwoche und danach. Die Analyse gliedert sich in drei Teile. (1) Die Ausgangskonstellation, in der sich die unmittelbar Beteiligten, Polizei und Protestierende, auf die Protestwoche einstellen und prägende Grundkonflikte sichtbar werden. (2) Schlüsselsituationen, in denen Konflikte ausgetragen werden und die Muster der Eskalation im Kleinen sichtbar machen. (3) Die mediale Deutung und Formung der Ereignisse, über die der Fokus auf „Gewalt“ verstärkt und die jeweils eigene Wahrnehmung bestätigt wird. Für die Analyse der Entstehung von Gewalt ist der Fall ein eindrückliches Beispiel für die Verkettung von Ereignissen ebenso wie für die Eigendynamik situativer Konfrontationen. Dies bedeutet jedoch nicht, dass die Planungen, Erwartungen und Entscheidungen der Handelnden keine Rolle spielen würden. Die Dynamik des Geschehens verwirklicht sich, im Gegenteil, gerade darin, dass die Beteiligten in der Verflechtung ihrer Handlungen ihre Kalkulationen verändern und Situationsdeutungen entwickeln, welche Gewalt möglich oder notwendig erscheinen lassen
Predicting entrepreneurial development based on individual and business-related characteristics is a key objective of entrepreneurship research. In this context, we investigate whether the motives of becoming an entrepreneur influence the subsequent entrepreneurial development. In our analysis, we examine a broad range of business outcomes including survival and income, as well as job creation, and expansion and innovation activities for up to 40 months after business formation. Using the self-determination theory as conceptual background, we aggregate the start-up motives into a continuous motivational index. We show – based on a unique dataset of German start-ups from unemployment and non-unemployment – that the later business performance is better, the higher they score on this index. Effects are particularly strong for growth-oriented outcomes like innovation and expansion activities. In a next step, we examine three underlying motivational categories that we term opportunity, career ambition, and necessity. We show that individuals driven by opportunity motives perform better in terms of innovation and business expansion activities, while career ambition is positively associated with survival, income, and the probability of hiring employees. All effects are robust to the inclusion of a large battery of covariates that are proven to be important determinants of entrepreneurial performance.
Taxed fairly?
(2023)
Empirically, the poor are more likely to support increases in the level of tax progressivity than the rich. Such income-stratified tax preferences can result from differences in preferences of what should be taxed as argued by previous literature. However, it may also result from income-stratified perceptions of what is taxed. This paper argues that the rich perceive higher levels of tax progressivity than the poor and that tax perceptions affect individuals’ support for progressive taxation. Using data from an Austrian survey experiment, we test this argument in three steps: First, in line with past research, we show that individuals’ income positions are connected to individuals’ tax preferences as a self-interest rationale would predict. However, second, we show that this variation is mainly driven by income-stratified tax perceptions. Third, randomly informing a subset of the sample about actual tax rates, we find that changing tax perceptions causally affects support for redistributive taxation among those who initially overestimated the level of tax progressivity. Our results indicate that tax perceptions are relevant for forming tax preferences and suggest that individuals are more polarized in their perceptions of who pays how much taxes than in their support for who should pay how much tax.
Thermal electrons have gyroradii many orders of magnitude smaller than the finite width of a shock, thus need to be pre-accelerated before they can cross it and be accelerated by diffusive shock acceleration. One region where pre-acceleration may occur is the inner foreshock, which upstream electrons must pass through before any potential downstream crossing. In this paper, we perform a large-scale particle-in-cell simulation that generates a single shock with parameters motivated from supernova remnants. Within the foreshock, reflected electrons excite the oblique whistler instability and produce electromagnetic whistler waves, which comove with the upstream flow and as nonlinear structures eventually reach radii of up to 5 ion-gyroradii. We show that the inner electromagnetic configuration of the whistlers evolves into complex nonlinear structures bound by a strong magnetic field around four times the upstream value. Although these nonlinear structures do not in general interact with cospatial upstream electrons, they resonate with electrons that have been reflected at the shock. We show that they can scatter, or even trap, reflected electrons, confining around 0.8% of the total upstream electron population to the region close to the shock where they can undergo substantial pre-acceleration. This acceleration process is similar to, yet approximately three times more efficient than, stochastic shock drift acceleration.
Aging is a complex process characterized by several factors, including loss of genetic and epigenetic information, accumulation of chronic oxidative stress, protein damage and aggregates and it is becoming an emergent drug target. Therefore, it is the utmost importance to study aging and agerelated diseases, to provide treatments to develop a healthy aging process. Skeletal muscle is one of the earliest tissues affected by age-related changes with progressive loss of muscle mass and function from 30 years old, effect known as sarcopenia. Several studies have shown the accumulation of protein aggregates in different animal models, as well as in humans, suggesting impaired proteostasis, a hallmark of aging, especially regarding degradation systems. Thus, different publications have explored the role of the main proteolytic systems in skeletal muscle from rodents and humans, like ubiquitin proteasomal system (UPS) and autophagy lysosomal system (ALS), however with contradictory results. Yet, most of the published studies are performed in muscles that comprise more than one fiber type, that means, muscles composed by slow and fast fibers. These fiber types, exhibit different metabolism and contraction speed; the slow fibers or type I display an oxidative metabolism, while fast fibers function towards a glycolytic metabolism ranging from fast oxidative to fast glycolytic fibers. To this extent, the aim of this thesis sought to understand on how aging impacts both fiber types not only regarding proteostasis but also at a metabolome and transcriptome network levels. Therefore, the first part of this thesis, presents the differences between slow oxidative (from Soleus muscle) and fast glycolytic fibers (Extensor digitorum longus, EDL) in terms of degradation systems and how they cope with oxidative stress during aging, while the second part explores the differences between young and old EDL muscle transcriptome and metabolome, unraveling molecular features. More specifically, the results from the present work show that slow oxidative muscle performs better at maintaining the function of UPS and ALS during aging than EDL muscle, which is clearly affected, accounting for the decline in the catalytic activity rates and accumulation of autophagy-related proteins. Strinkingly, transcriptome and metabolome analyses reveal that fast glycolytic muscle evidences significant downregulation of mitochondrial related processes and damaged mitochondria morphology during aging, despite of having a lower oxidative metabolism compared to oxidative fibers. Moreover, predictive analyses reveal a negative association between aged EDL gene signature and lifespan extending interventions such as caloric restriction (CR). Although, CR intervention does not alter the levels of mitochondrial markers in aged EDL muscle, it can reverse the higher mRNA levels of muscle damage markers. Together, the results from this thesis give new insights about how different metabolic muscle fibers cope with age-related changes and why fast glycolytic fibers are more susceptible to aging than slow oxidative fibers.
Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany
(2023)
Data-driven models have been recently suggested to surrogate computationally expensive hydrodynamic models to map flood hazards. However, most studies focused on developing models for the same area or the same precipitation event. It is thus not obvious how transferable the models are in space. This study evaluates the performance of a convolutional neural network (CNN) based on the U-Net architecture and the random forest (RF) algorithm to predict flood water depth, the models' transferability in space and performance improvement using transfer learning techniques. We used three study areas in Berlin to train, validate and test the models. The results showed that (1) the RF models outperformed the CNN models for predictions within the training domain, presumable at the cost of overfitting; (2) the CNN models had significantly higher potential than the RF models to generalize beyond the training domain; and (3) the CNN models could better benefit from transfer learning technique to boost their performance outside training domains than RF models.
Background: The role of fatty acid (FA) intake and metabolism in type 2 diabetes (T2D) incidence is controversial. Some FAs are not synthesised endogenously and, therefore, these circulating FAs reflect dietary intake, for example, the trans fatty acids (TFAs), saturated odd chain fatty acids (OCFAs), and linoleic acid, an n-6 polyunsaturated fatty acids (PUFA). It remains unclear if intake of TFA influence T2D risk and whether industrial TFAs (iTFAs) and ruminant TFAs (rTFAs) exert the same effect. Unlike even chain saturated FAs, the OCFAs have been inversely associated with T2D risk, but this association is poorly understood. Furthermore, the associations of n-6 PUFAs intake with T2D risk are still debated, while delta-5 desaturase (D5D), a key enzyme in the metabolism of PUFAs, has been consistently related to T2D risk. To better understand these relationships, the FA composition in circulating lipid fractions can be used as biomarkers of dietary intake and metabolism. The exploration of TFAs subtypes in plasma phospholipids and OCFAs and n-6 PUFAs within a wide range of lipid classes may give insights into the pathophysiology of T2D.
Aim: This thesis aimed mainly to analyse the association of TFAs, OCFAs and n-6 PUFAs with self-reported dietary intake and prospective T2D risk, using seven types of TFAs in plasma phospholipids and deep lipidomics profiling data from fifteen lipid classes.
Methods: A prospective case-cohort study was designed within the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study, including all the participants who developed T2D (median follow-up 6.5 years) and a random subsample of the full cohort (subcohort: n=1248; T2D cases: n=820). The main analyses included two lipid profiles. The first was an assessment of seven TFA in plasma phospholipids, with a modified method for analysis of FA with very low abundances. The second lipid profile was derived from a high-throughout lipid profiling technology, which identified 940 distinct molecular species and allowed to quantify OCFAs and PUFAs composition across 15 lipid classes. Delta-5 desaturase (D5D) activity was estimated as 20:4/20:3-ratio. Using multivariable Cox regression models, we examined the associations of TFA subtypes with incident T2D and class-specific associations of OCFA and n-6 PUFAs with T2D risk.
Results: 16:1n-7t, 18:1n-7t, and c9t11-CLA were positively correlated with the intake of fat-rich dairy foods. iTFA 18:1 isomers were positively correlated with margarine. After adjustment for confounders and other TFAs, higher plasma phospholipid concentrations of two rTFAs were associated with a lower incidence of T2D: 18:1n-7t and t10c12-CLA. In contrast, the rTFA c9t11-CLA was associated with a higher incidence of T2D. rTFA 16:1n-7t and iTFAs (18:1n-6t, 18:1n-9t, 18:2n-6,9t) were not statistically significantly associated with T2D risk.
We observed heterogeneous integration of OCFA in different lipid classes, and the contribution of 15:0 versus 17:0 to the total OCFA abundance differed across lipid classes. Consumption of fat-rich dairy and fiber-rich foods were positively and red meat inversely correlated to OCFA abundance in plasma phospholipid classes. In women only, higher abundances of 15:0 in phosphatidylcholines (PC) and diacylglycerols (DG), and 17:0 in PC, lysophosphatidylcholines (LPC), and cholesterol esters (CE) were inversely associated with T2D risk. In men and women, a higher abundance of 15:0 in monoacylglycerols (MG) was also inversely associated with T2D. Conversely, a higher 15:0 concentration in LPC and triacylglycerols (TG) was associated with higher T2D risk in men. Women with a higher concentration of 17:0 as free fatty acids (FFA) also had higher T2D incidence.
The integration of n-6 PUFAs in lipid classes was also heterogeneous. 18:2 was highly abundant in phospholipids (particularly PC), CE, and TG; 20:3 represented a small fraction of FA in most lipid classes, and 20:4 accounted for a large proportion of circulating phosphatidylinositol (PI) and phosphatidylethanolamines (PE). Higher concentrations of 18:2 were inversely associated with T2D risk, especially within DG, TG, and LPC. However, 18:2 as part of MG was positively associated with T2D risk. Higher concentrations of 20:3 in phospholipids (PC, PE, PI), FFA, CE, and MG were linked to higher T2D incidence. 20:4 was unrelated to risk in most lipid classes, except positive associations were observed for 20:4 enriched in FFA and PE. The estimated D5D activities in PC, PE, PI, LPC, and CE were inversely associated with T2D and explained variance of estimated D5D activity by genomic variation in the FADS locus was only substantial in those lipid classes.
Conclusion: The TFAs' conformation is essential in their relationship to diabetes risk, as indicated by plasma rTFA subtypes concentrations having opposite directions of associations with diabetes risk. Plasma OCFA concentration is linked to T2D risk in a lipid class and sex-specific manner. Plasma n-6 PUFA concentrations are associated differently with T2D incidence depending on the specific FA and the lipid class. Overall, these results highlight the complexity of circulating FAs and their heterogeneous association with T2D risk depending on the specific FA structure, lipid class, and sex. My results extend the evidence of the relationship between diet, lipid metabolism, and subsequent T2D risk. In addition, my work generated several potential new biomarkers of dietary intake and prospective T2D risk.
In the last century, several astronomical measurements have supported that a significant percentage (about 22%) of the total mass of the Universe, on galactic and extragalactic scales, is composed of a mysterious ”dark” matter (DM). DM does not interact with the electromagnetic force; in other words it does not reflect, absorb or emit light. It is possible that DM particles are weakly interacting massive particles (WIMPs) that can annihilate (or decay) into Standard Model (SM) particles, and modern very- high-energy (VHE; > 100 GeV) instruments such as imaging atmospheric Cherenkov telescopes (IACTs) can play an important role in constraining the main properties of such DM particles, by detecting these products. One of the most privileged targets where to look for DM signal are dwarf spheroidal galaxies (dSphs), as they are expected to be high DM-dominated objects with a clean, gas-free environment. Some dSphs could be considered as extended sources, considering the angular resolution of IACTs; their angu- lar resolution is adequate to detect extended emission from dSphs. For this reason, we performed an extended-source analysis, by taking into account in the unbinned maximum likelihood estimation both the energy and the angular extension dependency of observed events. The goal was to set more constrained upper limits on the velocity-averaged cross-section annihilation of WIMPs with VERITAS data. VERITAS is an array of four IACTs, able to detect γ-ray photons ranging between 100 GeV and 30 TeV. The results of this extended analysis were compared against the traditional spectral analysis. We found that a 2D analysis may lead to more constrained results, depending on the DM mass, channel, and source. Moreover, in this thesis, the results of a multi-instrument project are presented too. Its goal was to combine already published 20 dSphs data from five different experiments, such as Fermi-LAT, MAGIC, H.E.S.S., VERITAS and HAWC, in order to set upper limits on the WIMP annihilation cross-section in the widest mass range ever reported.
Krafttraining ist ein etabliertes Mittel für die Entwicklung körperlicher Fitness und sport-artspezifischer Leistungen in verschiedenen Sportarten. Dabei scheint dem Krafttraining auch im Hinblick auf den langfristigen Leistungsaufbau im Nachwuchsleistungssport Rudern eine besondere Rolle zuzukommen. Die vorliegende Arbeit widmet sich der Optimie-rung der Leistungsdiagnostik sowie der Bewertung der Effektivität von Krafttrainingsmethoden zur Verbesserung der körperlichen Fitness und der sportartspezifischen Leistung im Nachwuchsleistungsrudern.
Die erste Studie im Rahmen dieser kumulativen Arbeit beinhaltet die Analyse eines sport-artspezifischen Anforderungsprofils der Sportart Rudern. Die Studienergebnisse zeigen, dass die Energiebereitstellung im Ruderwettkampf zu einem großen Anteil aus aeroben und zu einem geringen Anteil aus anaeroben Stoffwechselprozessen erfolgt. Während der vier Phasen des rudertechnischen Leitbildes werden nahezu alle großen Muskelgruppen beansprucht. Aufgrund der hohen Trainingsumfänge auf internationalem Leistungsniveau besteht bei Ruderern ein erhöhtes Risiko, Verletzungen im lumbalen Rückensegment, den Knien sowie den Rippen zu erleiden.
Im Rahmen der zweiten Studie wurden die Effekte von Krafttraining auf die körperliche Fitness und die sportartspezifische Leistung von Ruderern unterschiedlichen Expertisen-niveaus untersucht. Die Studienergebnisse zeigen, dass signifikante kleine Effekte des Krafttrainings auf die körperliche Fitness (Maximalkraft der unteren Gliedmaßen) und auf die sportartspezifische Leistung existieren. Subgruppenanalysen für Krafttrainingstyp und Expertisenniveau zeigten nicht signifikante Unterschiede zwischen den jeweiligen Subgruppen der Ruderer.
Die dritte Studie analysierte die Zusammenhänge zwischen der biologischen Reife, der Körperkonstitution und der körperlichen Fitness mit der Leistung auf dem Ruderergometer über 700-m bei weiblichen Nachwuchseliteruderern. Die Analyse zeigte signifikante mittle-re bis hohe Zusammenhänge zwischen der biologischen Reife, Kennwerten der Körperkonstitution, der körperlichen Fitness (z. B. Maximalkraft, Kraftausdauer) und der Leistung auf dem Ruderergometer. Zusätzlich konnte gezeigt werden, dass die Prädiktoren Körperkonstitution (Magermasse) und Kraftausdauer (Bourban-Test) die Leistung des 700-m Ruderergometertest am besten abbilden.
Die vierte Studie untersuchte die Effekte von zwei unterschiedlichen Krafttrainingsmetho-den, die jeweils über neun Wochen durchgeführt wurden, auf die körperliche Fitness und die Leistung auf dem Ruderergometer bei weiblichen Elite-Nachwuchsruderern. Die Stu-dienergebnisse zeigen, dass beide Gruppen signifikante Steigerungen auf ausgewählte Komponenten der körperlichen Fitness (z. B. Maximalkraft, Schnellkraft, anaerobe Aus-dauer und Richtungswechselgeschwindigkeit) und die sportartspezifische Leistung erzielten. Signifikant größere Zuwächse resultierten nach Krafttraining mit höheren Intensitäten [HI] bei gleichem Volumen im Vergleich zu Kraftausdauertraining [KA] in ausgewählten Komponenten der körperlichen Fitness (z. B. Maximalkraft). Im Gegensatz dazu, führte KA bei gleichem Volumen im Vergleich zu HI zu größeren Steigerungen der sportartspezifischen Leistung.
Zusammenfassend zeigen die Ergebnisse, dass Krafttraining ein effektives Mittel zur Steigerung ausgewählter Komponenten der körperlichen Fitness und der sportartspezifischen Leistung in der Sportart Rudern für RuderInnen und im Speziellen für den Nachwuchssport ist. Insbesondere im Nachwuchsleistungsrudern zeigte sich, dass HI zusätzlich zum regulären Rudertraining effektiver zur Verbesserung der körperlichen Fitness (z. B. Maximalkraft) ist als KA. Zur Verbesserung der sportartspezifischen Leistung jedoch, stellte KA im Vergleich zu HI bei weiblichen Elite-Nachwuchsruderern die effektivere Krafttrainings-methode dar. Weiterhin wird Trainern im Nachwuchsrudersport empfohlen, ausgewählte Merkmale der biologischen Reife, Körperkonstitution sowie der körperlichen Fitness (Maximalkraft, Kraftausdauer) für die Talententwicklung zu berücksichtigen.
Garbage in, garbage out
(2023)
Portal Wissen = Exzellenz
(2023)
Was nicht nur gut oder sehr gut ist, nennen wir gern exzellent. Aber was meint das eigentlich? Vom lateinischen „excellere“ kommend, beschreibt es Dinge, Personen oder Handlungen, die „hervor-“ oder „herausragen“ aus der Menge, sich „auszeichnen“ gegenüber anderen. Mehr geht nicht. Exzellenz ist das Mittel der Wahl, wenn es darum geht, der Erste oder Beste zu sein. Und das macht auch vor der Forschung nicht halt. Wer auf die Universität Potsdam schaut, findet zahlreiche ausgezeichnete Forschende, hervorragende Projekte und immer wieder auch aufsehenerregende Erkenntnisse, Veröffentlichungen und Ergebnisse.
Aber ist die UP auch exzellent? Eine Frage, die 2023 ganz sicher andere Wellen schlägt als vielleicht vor 20 Jahren. Denn seit dem Start der Exzellenzinitiative 2005 gelten als – wörtlich – exzellent jene Hochschulen, denen es gelingt, in dem umfangreichsten Förderprogramm für Wissenschaft in Deutschland einen Zuschlag zu erhalten. Egal ob in Form von Graduiertenschulen, Forschungsclustern oder – seit Fortsetzung des Programms ab 2019 unter dem Titel „Exzellenzstrategie“ – ganzen Exzellenzuniversitäten: Wer im Kreis der Forschungsuniversitäten zu den Besten gehören will, braucht das Siegel der Exzellenz. In der gerade eingeläuteten neuen Wettbewerbsrunde der „Exzellenzstrategie des Bundes und der Länder“ bewirbt sich die Universität Potsdam mit drei Clusterskizzen um Förderung.
Ein Antrag kommt aus der Ökologie- und Biodiversitätsforschung. Ziel ist es, ein komplexes Bild ökologischer Prozesse zu zeichnen – und dabei die Rolle von einzelnen Individuen ebenso zu betrachten wie das Zusammenwirken vieler Arten in einem Ökosystem, um die Funktion der Artenvielfalt genauer zu bestimmen. Eine zweite Skizze haben die Kognitionswissenschaften eingereicht. Hier soll das komplexe Nebeneinander von Sprache und Kognition, Entwicklung und Lernen sowie Motivation und Verhalten als dynamisches Miteinander erforscht werden – wobei auch mit den Erziehungswissenschaften kooperiert wird, um verknüpfte Lernund Bildungsprozesse stets mitzudenken. Der dritte Antrag aus den Geo- und Umweltwissenschaften nimmt extreme und besonders folgenschwere Naturgefahren und -prozesse wie Überschwemmungen und Dürren in den Blick. Die Forschenden untersuchen die Extremereignisse mit besonderem Fokus auf deren Wechselwirkung mit der Gesellschaft, um mit ihnen einhergehende Risiken und Schäden besser einschätzen sowie künftig rechtzeitig Maßnahmen einleiten zu können.
„Alle drei Anträge zeichnen ein hervorragendes Bild unserer Leistungsfähigkeit“, betont der Präsident der Universität, Prof. Oliver Günther, Ph.D. „Die Skizzen dokumentieren eindrucksvoll unser Engagement, vorhandene Forschungsexzellenz sowie die Potenziale der Universität Potsdam insgesamt. Allein die Tatsache, dass sich drei schlagkräftige Konsortien in ganz unterschiedlichen Themenbereichen zusammengefunden haben, zeigt, dass wir auf unserem Weg in die Spitzengruppe der deutschen Universitäten einen guten Schritt vorangekommen sind.“
In diesem Heft schauen wir, was sich in und hinter diesen Anträgen verbirgt: Wir haben mit den Wissenschaftlerinnen und Wissenschaftlern gesprochen, die sie geschrieben haben, und sie gefragt, was sie sich vornehmen, sollten sie den Zuschlag erhalten und ein Cluster an die Universität holen. Wir haben aber auch auf die Forschung geschaut, die zu den Anträgen geführt hat und die schon länger das Profil der Universität prägt und ihr national wie international Anerkennung eingebracht hat. Wir stellen eine kleine Auswahl an Projekten, Methoden und Forschenden vor, um zu zeigen, warum in diesen Anträgen tatsächlich exzellente Forschung steckt! Übrigens: Auch „Exzellenz“ ist nicht das Ende der Fahnenstange. Immerhin lässt sich das Adjektiv exzellent sogar steigern. In diesem Sinne wünschen wir exzellentestes Vergnügen beim Lesen!
Portal Wissen = Excellence
(2023)
When something is not just good or very good, we often call it excellent. But what does that really mean? Coming from the Latin word “excellere,” it describes things, persons, or actions that are outstanding or superior and distinguish themselves from others. It cannot get any better. Excellence is the top choice for being the first or the best. Research is no exception.
At the university, you will find numerous exceptional researchers, outstanding projects, and, time and again, sensational findings, publications, and results. But is the University of Potsdam also excellent? A question that will certainly create a different stir in 2023 than it did perhaps 20 years ago. Since the launch of the Excellence Initiative in 2005, universities that succeed in winning the most comprehensive funding program for research in Germany have been considered – literally – excellent. Whether in the form of graduate schools, research clusters, or – since the program was continued in 2019 under the title “Excellence Strategy” – entire universities of excellence: Anyone who wants to be among the best research universities needs the seal of excellence.
The University of Potsdam is applying for funding with three cluster proposals in the recently launched new round of the “Excellence Strategy of the German Federal and State Governments.” One proposal comes from ecology and biodiversity research. The aim is to paint a comprehensive picture of ecological processes by examining the role of single individuals as well as the interactions among many species in an ecosystem to precisely determine the function of biodiversity. A second proposal has been submitted by the cognitive sciences. Here, the complex coexistence of language and cognition, development and learning, as well as motivation and behavior will be researched as a dynamic interrelation. The projects will include cooperation with the educational sciences to constantly consider linked learning and educational processes. The third proposal from the geo and environmental sciences concentrates on extreme and particularly devastating natural hazards and processes such as floods and droughts. The researchers examine these extreme events, focusing on their interaction with society, to be able to better assess the risks and damages they might involve and to initiate timely measures in the future.
“All three proposals highlight the excellence of our performance,” emphasizes University President Prof. Oliver Günther, Ph.D. “The outlines impressively document our commitment, existing research excellence, and the potential of the University of Potsdam as a whole. The fact that three powerful consortia have come together in different subject areas shows that we have taken a good step forward on our way to becoming one of the top German universities.”
In this issue, we are looking at what is in and behind these proposals: We talked to the researchers who wrote them. We asked them about their plans in case their proposals are successful and they bring a cluster of excellence to the university. But we also looked at the research that has led to the proposals, has long shaped the university’s profile, and earned it national and international recognition. We present a small selection of projects, methods, and researchers to illustrate why there really is excellent research in these proposals!
By the way, “excellence” is also not the end of the flagpole. After all, the adjective “excellent” even has a comparative and a superlative. With this in mind, I wish you the most excellent pleasure reading this issue!
A room full of ‘views’
(2023)
Quantitative research into the effectiveness of the UN human rights treaty bodies (UNTBs) in eliciting remedial responses from states is impeded by a lack of usable data on how states respond to their decisions. The new Treaty Body Views Dataset (TBVD) aims to fill this gap. It comprises details on all published decisions in individual complaints cases issued by the UNTBs between 1979 and 2019 and matches these with information on their state of compliance. The TBVD can be used for research on the activities of the treaty bodies, the nature of the decisions themselves, or state behavior following a decision. An empirical application illustrates how the TBVD can advance knowledge about the factors that correlate with compliance with adverse UNTB decisions. Results show that the likelihood of implementation hinges critically on decision-level characteristics, and reveal differences and similarities between compliance with UNTB decisions and regional human rights court judgments.
Transposable elements (TEs) are loci that can replicate and multiply within the genome of their host. Within the host, TEs through transposition are responsible for variation on genomic architecture and gene regulation across all vertebrates. Genome assemblies have increased in numbers in recent years. However, to explore in deep the variations within different genomes, such as SNPs (single nucleotide polymorphism), INDELs (Insertion-deletion), satellites and transposable elements, we need high-quality genomes. Studies of molecular markers in the past 10 years have limitations to correlate with biological differences because molecular markers rely on the accuracy of the genomic resources. This has generated that a substantial part of the studies of TE in recent years have been on high quality genomic resources such as Drosophila, zebrafinch and maize. As testudine have a slow mutation rate lower only to crocodilians, with more than 300 species, adapted to different environments all across the globe, the testudine clade can help us to study variation. Here we propose Testudines as a clade to study variation and the abundance of TE on different species that diverged a long time ago. We investigated the genomic diversity of sea turtles, identifying key genomic regions associated to gene family duplication, specific expansion of particular TE families for Dermochelyidae and that are important for phenotypic differentiation, the impact of environmental changes on their populations, and the dynamics of TEs within different lineages. In chapter 1, we identify that despite high levels of genome synteny within sea turtles, we identified that regions of reduced collinearity and microchromosomes showed higher concentrations of multicopy gene families, as well as genetic distances between species, indicating their potential importance as sources of variation underlying phenotypic differentiation. We found that differences in the ecological niches occupied by leatherback and green turtles have led to contrasting evolutionary paths for their olfactory receptor genes. We identified in leatherback turtles a long-term low population size. Nonetheless, we identify no correlation between the regions of reduced collinearity with abundance of TEs or an accumulation of a particular TE group. In chapter 2, we identified that sea turtle genomes contain a significant proportion of TEs, with differences in TE abundance between species, and the discovery of a recent expansion of Penelope-like elements (PLEs) in the highly conserved sea turtle genome provides new insights into the dynamics of TEs within Testudines. In chapter 3, we compared the proportion of TE across the Testudine clade, and we identified that the proportion of transposable elements within the clade is stable, regardless of the quality of the assemblies. However, we identified that the proportion of TEs orders has correlation with genome quality depending of their expanded abundancy. For retrotransposon, a highly abundant element for this clade, we identify no correlation. However, for DNA elements a rarer element on this clade, correlate with the quality of the assemblies.
Here we confirm that high-quality genomes are fundamental for the study of transposable element evolution and the conservation within the clade. The detection and abundance of specific orders of TEs are influenced by the quality of the genomes. We identified that a reduction in the population size on D. coriacea had left signals of long-term low population sizes on their genomes. On the same note we identified an expansion of TE on D. coriacea, not present in any other member of the available genomes of Testudines, strongly suggesting that it is a response of deregulation of TE on their genomes as consequences of the low population sizes.
Here we have identified important genomic regions and gene families for phenotypic differentiation and highlighted the impact of environmental changes on the populations of sea turtles. We stated that accurate classification and analysis of TE families are important and require high-quality genome assemblies. Using TE analysis we manage to identify differences in highly syntenic species. These findings have significant implications for conservation and provide a foundation for further research into genome evolution and gene function in turtles and other vertebrates. Overall, this study contributes to our understanding of evolutionary change and adaptation mechanisms.
Childhood compared to adolescence and adulthood is characterized by high neuroplasticity represented by accelerated cognitive maturation and rapid cognitive developmental trajectories. Natural growth, biological maturation and permanent interaction with the physical and social environment fosters motor and cognitive development in children. Of note, the promotion of physical activity, physical fitness, and motor skill learning at an early age is mandatory first, as these aspects are essential for a healthy development and an efficient functioning in everyday life across the life span and second, physical activity behaviors and lifestyle habits tend to track from childhood into adulthood.
The main objective of the present thesis was to optimize and deepen the knowledge of motor and cognitive performance in young children and to develop an effective and age-appropriate exercise program feasible for the implementation in kindergarten and preschool settings. A systematic review with meta-analysis was conducted to examine the effectiveness of fundamental movement skill and exercise interventions in healthy preschool-aged children. Further, the relation between measures of physical fitness (i.e., static balance, muscle strength, power, and coordination) and attention as one domain of cognitive performance in preschool-aged children was analyzed. Subsequently, effects of a strength-dominated kindergarten-based exercise program on physical fitness components (i.e., static balance, muscle strength, power, and coordination) and cognitive performance (i.e., attention) compared to a usual kindergarten curriculum was examined.
The systematic review included trials focusing on healthy young children in kindergarten or preschool settings that applied fundamental movement skill-enhancing intervention programs of at least 4 weeks and further reported standardized motor skill outcome measures for the intervention and the control group. Children aged 4-6 years from three kindergartens participated in the cross-sectional and the longitudinal study. Product-orientated measures were conducted for the assessment of muscle strength (i.e., handgrip strength), muscle power (i.e., standing long jump), balance (i.e., timed single-leg stand), coordination (hopping on right/left leg), and attentional span (i.e., “Konzentrations-Handlungsverfahren für Vorschulkinder” [concentration-action procedure for preschoolers]).
With regards to the scientific literature, exercise and fundamental movement skill interventions are an effective method to promote overall proficiency in motor skills (i.e., object control and locomotor skills) in preschool children particularly when conducted by external experts with a duration of 4 weeks to 5 months. Moreover, significant medium associations were found between the composite score of physical fitness and attention as well as between coordination separately and attention in children aged 4-6 years. A 10-weeks strength-dominated exercise program implemented in kindergarten and preschool settings by educated and trained kindergarten teachers revealed significant improvements for the standing long jump test and the Konzentrations-Handlungsverfahren of intervention children compared to children of the control group.
The findings of the present thesis imply that fundamental movement skill and exercise interventions improve motor skills (i.e., locomotor and object control skills). Nonetheless, more high-quality research is needed. Additionally, physical fitness, particularly high performance in complex fitness components (i.e., coordination measured with the hopping on one leg test), tend to predict attention in preschool age. Furthermore, an exercise program including strength-dominated exercises, fundamental movement skills and elements of gymnastics has a beneficial effect on jumping performance with a concomitant trend toward improvements in attentional capacity in healthy preschool children. Finally, it is recommended to start early with the integration of muscular fitness (i.e., muscle strength, muscle power, muscular endurance) next to coordination, agility, balance, and fundamental movement skill exercises into regular physical activity curriculums in kindergarten settings.
The relevance of physical fitness for children’s and adolescents’ health is indisputable and it is crucial to regularly assess and evaluate children’s and adolescents’ individual physical fitness development to detect potential negative health consequences in time. Physical fitness tests are easy-to-administer, reliable, and valid which is why they should be widely used to provide information on performance development and health status of children and adolescents. When talking about development of physical fitness, two perspectives can be distinguished. One perspective is how the physical fitness status of children and adolescents changed / developed over the past decades (i.e., secular trends). The other perspective covers the analyses how physical fitness develops with increasing age due to growth and maturation processes. Although, the development of children’s and adolescents’ physical fitness has been extensively described and analyzed in the literature, still some questions remain to be uncovered that will be addressed in the present doctoral thesis.
Previous systematic reviews and meta-analyses have examined secular trends in children’s and adolescents’ physical fitness. However, considering that those analyses are by now 15 years old and that updates are available only to limited components of physical fitness, it is time to re-analyze the literature and examine secular trends for selected components of physical fitness (i.e., cardiorespiratory endurance, muscle strength, proxies of muscle power, and speed). Fur-thermore, the available studies on children’s development of physical fitness as well as the ef-fects of moderating variables such as age and sex have been investigated within a long-term ontogenetic perspective. However, the effects of age and sex in the transition from pre-puberty to puberty in the ninth year of life using a short-term ontogenetic perspective and the effect of timing of school enrollment on children’s development of physical fitness have not been clearly identified. Therefore, the present doctoral thesis seeks to complement the knowledge of children’s and adolescents’ physical fitness development by updating secular trend analysis in selected components of physical fitness, by examining short-term ontogenetic cross-sectional developmental differences in children`s physical fitness, and by comparing physical fitness of older- and younger-than-keyage children versus keyage-children. These findings provide valuable information about children’s and adolescents’ physical fitness development to help prevent potential deficits in physical fitness as early as possible and consequently ensure a holistic development and a lifelong healthy life.
Initially, a systematic review to provide an ‘update’ on secular trends in selected components of physical fitness (i.e., cardiorespiratory endurance, relative muscle strength, proxies of muscle power, speed) in children and adolescents aged 6 to 18 years was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement guidelines. To examine short-term ontogenetic cross-sectional developmental differences and to compare physical fitness of older- and younger-than-keyage children versus keyage-children physical fitness data of 108,295 keyage-children (i.e., aged 8.00 to 8.99 years), 2,586 younger-than-keyage children (i.e., aged 7.00 to 7.99 years), and 26,540 older-than-keyage children (i.e., aged 9.00 to 9.99 years) from the third grade were analyzed. Physical fitness was assessed through the EMOTIKON test battery measuring cardiorespiratory endurance (i.e., 6-min-run test), coordina-tion (i.e., star-run test), speed (i.e., 20-m linear sprint test), and proxies of lower (i.e., standing long jump test) and upper limbs (i.e., ball-push test) muscle power. Statistical inference was based on Linear Mixed Models.
Findings from the systematic review revealed a large initial improvement and an equally large subsequent decline between 1986 and 2010 as well as a stabilization between 2010 and 2015 in cardiorespiratory endurance, a general trend towards a small improvement in relative muscle strength from 1972 to 2015, an overall small negative quadratic trend for proxies of muscle power from 1972 to 2015, and a small-to-medium improvement in speed from 2002 to 2015. Findings from the cross-sectional studies showed that even in a single prepubertal year of life (i.e., ninth year) physical fitness performance develops linearly with increasing chronological age, boys showed better performances than girls in all physical fitness components, and the components varied in the size of sex and age effects. Furthermore, findings revealed that older-than-keyage children showed poorer performance in physical fitness compared to keyage-children, older-than-keyage girls showed better performances than older-than-keyage boys, and younger-than-keyage children outperformed keyage-children.
Due to the varying secular trends in physical fitness, it is recommended to promote initiatives for physical activity and physical fitness for children and adolescents to prevent adverse effects on health and well-being. More precisely, public health initiatives should specifically consider exercising cardiorespiratory endurance and muscle strength because both components showed strong positive associations with markers of health. Furthermore, the findings implied that physical education teachers, coaches, or researchers can utilize a proportional adjustment to individually interpret physical fitness of prepubertal school-aged children. Special attention should be given to the promotion of physical fitness of older-than-keyage children because they showed poorer performance in physical fitness than keyage-children. Therefore, it is necessary to specifically consider this group and provide additional health and fitness programs to reduce their deficits in physical fitness experienced during prior years to guarantee a holistic development.
The work is designed to investigate the impacts and sensitivity of climate change on water resources, droughts and hydropower production in Malawi, the South-Eastern region which is highly vulnerable to climate change. It is observed that rainfall is decreasing and temperature is increasing which calls for the understanding of what these changes may impact the water resources, drought occurrences and hydropower generation in the region. The study is conducted in the Greater Lake Malawi Basin (Lake Malawi and Shire River Basins) and is divided into three projects. The first study is assessing the variability and trends of both meteorological and hydrological droughts from 1970-2013 in Lake Malawi and Shire River basins using the standardized precipitation index (SPI) and standardized precipitation and evaporation Index (SPEI) for meteorological droughts and the lake level change index (LLCI) for hydrological droughts. And later the relationship of the meteorological and hydrological droughts is established.
While the second study extends the drought analysis into the future by examining the potential future meteorological water balance and associated drought characteristics such as the drought intensity (DI), drought months (DM), and drought events (DE) in the Greater Lake Malawi Basin. The sensitivity of drought to changes of rainfall and temperature is also assessed using the scenario-neutral approach. The climate change projections from 20 Coordinated Regional Climate Downscaling Experiment (CORDEX) models for Africa based on two scenarios (RCP4.5 and RCP8.5) for the periods 2021–2050 and 2071–2100 are used. The study also investigates the effect of bias-correction (i.e., empirical quantile mapping) on the ability of the climate model ensemble in reproducing observed drought characteristics as compared to raw climate projections.
The sensitivity of key hydrologic variables and hydropower generation to climate change in Lake Malawi and Shire River basins is assessed in third study. The study adapts the mesoscale Hydrological Model (mHM) which is applied separately in the Upper Lake Malawi and Shire River basins. A particular Lake Malawi model, which focuses on reservoir routing and lake water balance, has been developed and is interlinked between the two basins. Similar to second study, the scenario-neutral approach is also applied to determine the sensitivity of climate change on water resources more particularly Lake Malawi level and Shire River flow which later helps to estimate the hydropower production susceptibility.
Results suggest that meteorological droughts are increasing due to a decrease in precipitation which is exacerbated by an increase in temperature (potential evapotranspiration). The hydrological system of Lake Malawi seems to have a >24-month memory towards meteorological conditions since the 36-months SPEI can predict hydrological droughts ten-months in advance. The study has found the critical lake level that would trigger hydrological drought to be 474.1 m.a.s.l.
Despite the differences in the internal structures and uncertainties that exist among the climate models, they all agree on an increase of meteorological droughts in the future in terms of higher DI and longer events (DM). DI is projected to increase between +25% and +50% during 2021-2050 and between +131% and +388% during 2071-2100. This translates into +3 to +5, and +7 to +8 more drought months per year during both periods, respectively. With longer lasting drought events, DE is decreasing. Projected droughts based on RCP8.5 are 1.7 times more severe than droughts based on RCP4.5.
It is also found that an annual temperature increase of 1°C decreases mean lake level and outflow by 0.3 m and 17%, respectively, signifying the importance of intensified evaporation for Lake Malawi’s water budget. Meanwhile, a +5% (-5%) deviation in annual rainfall changes mean lake level by +0.7 m (-0.6 m). The combined effects of temperature increase and rainfall decrease result in significantly lower flows on Shire River. The hydrological river regime may change from perennial to seasonal with the combination of annual temperature increase and precipitation decrease beyond 1.5°C (3.5°C) and -20% (-15%). The study further projects a reduction in annual hydropower production between 1% (RCP8.5) and 2.5% (RCP4.5) during 2021–2050 and between 5% (RCP4.5) and 24% (RCP8.5) during 2071–2100.
The findings are later linked to global policies more particularly the United Nations Framework Convention on Climate Change (UNFCCC)’s Paris Agreement and the United Nations (UN)’s Sustainable Development Goals (SDGs), and how the failure to adhere the restriction of temperature increase below the global limit of 1.5°C will affect drought and the water resources in Malawi consequently impact the hydropower production. As a result, the achievement of most of the SDGs will be compromised.
The results show that it is of great importance that a further development of hydro energy on the Shire River should take into account the effects of climate change. The information generation is important for decision making more especially supporting the climate action required to fight against climate change. The frequency of extreme climate events due to climate change has reached the climate emergency as saving lives and livelihoods require urgent action.
Casualties and damages from urban pluvial flooding are increasing. Triggered by short, localized, and intensive rainfall events, urban pluvial floods can occur anywhere, even in areas without a history of flooding. Urban pluvial floods have relatively small temporal and spatial scales. Although cumulative losses from urban pluvial floods are comparable, most flood risk management and mitigation strategies focus on fluvial and coastal flooding. Numerical-physical-hydrodynamic models are considered the best tool to represent the complex nature of urban pluvial floods; however, they are computationally expensive and time-consuming. These sophisticated models make large-scale analysis and operational forecasting prohibitive. Therefore, it is crucial to evaluate and benchmark the performance of other alternative methods.
The findings of this cumulative thesis are represented in three research articles. The first study evaluates two topographic-based methods to map urban pluvial flooding, fill–spill–merge (FSM) and topographic wetness index (TWI), by comparing them against a sophisticated hydrodynamic model. The FSM method identifies flood-prone areas within topographic depressions while the TWI method employs maximum likelihood estimation to calibrate a TWI threshold (τ) based on inundation maps from the 2D hydrodynamic model. The results point out that the FSM method outperforms the TWI method. The study highlights then the advantage and limitations of both methods.
Data-driven models provide a promising alternative to computationally expensive hydrodynamic models. However, the literature lacks benchmarking studies to evaluate the different models' performance, advantages and limitations. Model transferability in space is a crucial problem. Most studies focus on river flooding, likely due to the relative availability of flow and rain gauge records for training and validation. Furthermore, they consider these models as black boxes. The second study uses a flood inventory for the city of Berlin and 11 predictive features which potentially indicate an increased pluvial flooding hazard to map urban pluvial flood susceptibility using a convolutional neural network (CNN), an artificial neural network (ANN) and the benchmarking machine learning models random forest (RF) and support vector machine (SVM). I investigate the influence of spatial resolution on the implemented models, the models' transferability in space and the importance of the predictive features. The results show that all models perform well and the RF models are superior to the other models within and outside the training domain. The models developed using fine spatial resolution (2 and 5 m) could better identify flood-prone areas. Finally, the results point out that aspect is the most important predictive feature for the CNN models, and altitude is for the other models.
While flood susceptibility maps identify flood-prone areas, they do not represent flood variables such as velocity and depth which are necessary for effective flood risk management. To address this, the third study investigates data-driven models' transferability to predict urban pluvial floodwater depth and the models' ability to enhance their predictions using transfer learning techniques. It compares the performance of RF (the best-performing model in the previous study) and CNN models using 12 predictive features and output from a hydrodynamic model. The findings in the third study suggest that while CNN models tend to generalise and smooth the target function on the training dataset, RF models suffer from overfitting. Hence, RF models are superior for predictions inside the training domains but fail outside them while CNN models could control the relative loss in performance outside the training domains. Finally, the CNN models benefit more from transfer learning techniques than RF models, boosting their performance outside training domains.
In conclusion, this thesis has evaluated both topographic-based methods and data-driven models to map urban pluvial flooding. However, further studies are crucial to have methods that completely overcome the limitation of 2D hydrodynamic models.
Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany
(2023)
Data-driven models have been recently suggested to surrogate computationally expensive hydrodynamic models to map flood hazards. However, most studies focused on developing models for the same area or the same precipitation event. It is thus not obvious how transferable the models are in space. This study evaluates the performance of a convolutional neural network (CNN) based on the U-Net architecture and the random forest (RF) algorithm to predict flood water depth, the models' transferability in space and performance improvement using transfer learning techniques. We used three study areas in Berlin to train, validate and test the models. The results showed that (1) the RF models outperformed the CNN models for predictions within the training domain, presumable at the cost of overfitting; (2) the CNN models had significantly higher potential than the RF models to generalize beyond the training domain; and (3) the CNN models could better benefit from transfer learning technique to boost their performance outside training domains than RF models.
Supernova remnants are considered to be the primary sources of galactic cosmic rays. These cosmic rays are assumed to be accelerated by the diffusive shock acceleration mechanism, specifically at shocks in the remnants. Particularly in the core-collapse scenario, these supernova remnant shocks expand inside the wind-blown bubbles structured by massive progenitors during their lifetime. Therefore, the complex environment of wind bubbles can influence the particle acceleration and radiation from the remnants. Further, the evolution of massive stars depends on their Zero Age Main Sequence mass, rotation, and metallicity. Consequently, the structures of the wind bubbles generated during the lifetime of massive stars should be considerably different. Hence, the particle acceleration in the core-collapse supernova remnants should vary, not only from the remnants evolving in the uniform environment but also from one another, depending on their progenitor stars.
A core-collapse supernova remnant with a very massive 60 𝑀 ⊙ progenitor star has been considered to study the particle acceleration at the shock considering Bohm-like diffusion. This dissertation demonstrates the modification in particle acceleration and radiation while the remnant propagates through different regions of the wind bubble by impacts from the profiles of gas density, the temperature of the bubble and the magnetic field structure. Subsequently, in this thesis, I discuss the impacts of the non-identical ambient environment of core-collapse supernova remnants on particle spectra and the non-thermal emissions, considering 20 𝑀 ⊙ and 60 𝑀⊙ massive progenitors having different evolutionary tracks. Additionally, I also analyse the effect of cosmic ray streaming instabilities on particle spectra.
To model the particle acceleration in the remnants, I have performed simulations in one-dimensional spherical symmetry using RATPaC code. The transport equation for cosmic rays and magnetic turbulence in test-particle approximation, along with the induction equation for the evolution of the large-scale magnetic field, have been solved simultaneously with the hydrodynamic equations for the expansion of remnants inside the pre-supernova circumstellar medium.
The results from simulations describe that the spectra of accelerated particles in supernova remnants are regulated by density fluctuations, temperature variations, the large-scale magnetic field configuration and scattering turbulence. Although the diffusive shock acceleration mechanism at supernova remnant shock predicts the spectral index of 2 for the accelerated non-thermal particles, I have obtained the particle spectra that deviate from this prediction, in the core-collapse scenario. I have found that the particle spectral index reaches 2.5 for the supernova remnant with 60 𝑀 ⊙ progenitor when the remnant resides inside the shocked wind region of the wind bubble, and this softness persists at later evolutionary stages even with Bohm-like diffusion for accelerated particles. However, the supernova remnant with 20 𝑀 ⊙ progenitor does not demonstrate persistent softness in particle spectra from the influence of the hydrodynamics of the corresponding wind bubble. At later stages of evolution, the particle spectra illustrate softness at higher energies for both remnants as the consequence of the escape of high-energy particles from the remnants while considering the cosmic ray streaming instabilities. Finally, I have probed the emission morphology of remnants that varies depending on the progenitors, particularly in earlier evolutionary stages. This dissertation provides insight into different core-collapse remnants expanding inside wind bubbles, for instance, the calculated gamma-ray spectral index from the supernova remnant with 60 𝑀 ⊙ progenitor at later evolutionary stages is consistent with that of the observed supernova remnants expanding in dense molecular clouds.
Search for light primordial black holes with VERITAS using gamma γ-ray and optical observations
(2023)
The Very Energetic Radiation Imaging Telescope Array System (VERITAS) is an array of four imaging atmospheric Cherenkov telescopes (IACTs). VERITAS is sensitive to very-high-energy gamma-rays in the range of 100 GeV to >30 TeV. Hypothesized primordial black holes (PBHs) are attractive targets for IACTs. If they exist, their potential cosmological impact reaches beyond the candidacy for constituents of dark matter. The sublunar mass window is the largest unconstrained range of PBH masses. This thesis aims to develop novel concepts searching for light PBHs with VERITAS. PBHs below the sublunar window lose mass due to Hawking radiation. They would evaporate at the end of their lifetime, leading to a short burst of gamma-rays. If PBHs formed at about 10^15 g, the evaporation would occur nowadays. Detecting these signals might not only confirm the existence of PBHs but also prove the theory of Hawking radiation. This thesis probes archival VERITAS data recorded between 2012 and 2021 for possible PBH signals. This work presents a new automatic approach to assess the quality of the VERITAS data. The array-trigger rate and far infrared temperature are well suited to identify periods with poor data quality. These are masked by time cuts to obtain a consistent and clean dataset which contains about 4222 hours. The PBH evaporations could occur at any location in the field of view or time within this data. Only a blind search can be performed to identify these short signals. This thesis implements a data-driven deep learning based method to search for short transient signals with VERITAS. It does not depend on the modelling of the effective area and radial acceptance. This work presents the first application of this method to actual observational IACT data. This thesis develops new concepts dealing with the specifics of the data and the transient detection method. These are reflected in the developed data preparation pipeline and search strategies. After correction for trial factors, no candidate PBH evaporation is found in the data. Thus, new constraints of the local rate of PBH evaporations are derived. At the 99% confidence limit it is below <1.07 * 10^5 pc^-3 yr^-1. This constraint with the new, independent analysis approach is in the range of existing limits for the evaporation rate.
This thesis also investigates an alternative novel approach to searching for PBHs with IACTs. Above the sublunar window, the PBH abundance is constrained by optical microlensing studies. The sampling speed, which is of order of minutes to hours for traditional optical telescopes, is a limiting factor in expanding the limits to lower masses. IACTs are also powerful instruments for fast transient optical astronomy with up to O(ns) sampling. This thesis investigates whether IACTs might constrain the sublunar window with optical microlensing observations. This study confirms that, in principle, the fast sampling speed might allow extending microlensing searches into the sublunar mass window. However, the limiting factor for IACTs is the modest sensitivity to detect changes in optical fluxes. This thesis presents the expected rate of detectable events for VERITAS as well as prospects of possible future next-generation IACTs. For VERITAS, the rate of detectable microlensing events in the sublunar range is ~10^-6 per year of observation time. The future prospects for a 100 times more sensitive instrument are at ~0.05 events per year.
Earthquake modeling is the key to a profound understanding of a rupture. Its kinematics or dynamics are derived from advanced rupture models that allow, for example, to reconstruct the direction and velocity of the rupture front or the evolving slip distribution behind the rupture front. Such models are often parameterized by a lattice of interacting sub-faults with many degrees of freedom, where, for example, the time history of the slip and rake on each sub-fault are inverted. To avoid overfitting or other numerical instabilities during a finite-fault estimation, most models are stabilized by geometric rather than physical constraints such as smoothing.
As a basis for the inversion approach of this study, we build on a new pseudo-dynamic rupture model (PDR) with only a few free parameters and a simple geometry as a physics-based solution of an earthquake rupture. The PDR derives the instantaneous slip from a given stress drop on the fault plane, with boundary conditions on the developing crack surface guaranteed at all times via a boundary element approach. As a side product, the source time function on each point on the rupture plane is not constraint and develops by itself without additional parametrization. The code was made publicly available as part of the Pyrocko and Grond Python packages. The approach was compared with conventional modeling for different earthquakes. For example, for the Mw 7.1 2016 Kumamoto, Japan, earthquake, the effects of geometric changes in the rupture surface on the slip and slip rate distributions could be reproduced by simply projecting stress vectors. For the Mw 7.5 2018 Palu, Indonesia, strike-slip earthquake, we also modelled rupture propagation using the 2D Eikonal equation and assuming a linear relationship between rupture and shear wave velocity. This allowed us to give a deeper and faster propagating rupture front and the resulting upward refraction as a new possible explanation for the apparent supershear observed at the Earth's surface.
The thesis investigates three aspects of earthquake inversion using PDR: (1) to test whether implementing a simplified rupture model with few parameters into a probabilistic Bayesian scheme without constraining geometric parameters is feasible, and whether this leads to fast and robust results that can be used for subsequent fast information systems (e.g., ground motion predictions). (2) To investigate whether combining broadband and strong-motion seismic records together with near-field ground deformation data improves the reliability of estimated rupture models in a Bayesian inversion. (3) To investigate whether a complex rupture can be represented by the inversion of multiple PDR sources and for what type of earthquakes this is recommended.
I developed the PDR inversion approach and applied the joint data inversions to two seismic sequences in different tectonic settings. Using multiple frequency bands and a multiple source inversion approach, I captured the multi-modal behaviour of the Mw 8.2 2021 South Sandwich subduction earthquake with a large, curved and slow rupturing shallow earthquake bounded by two faster and deeper smaller events. I could cross-validate the results with other methods, i.e., P-wave energy back-projection, a clustering analysis of aftershocks and a simple tsunami forward model.
The joint analysis of ground deformation and seismic data within a multiple source inversion also shed light on an earthquake triplet, which occurred in July 2022 in SE Iran. From the inversion and aftershock relocalization, I found indications for a vertical separation between the shallower mainshocks within the sedimentary cover and deeper aftershocks at the sediment-basement interface. The vertical offset could be caused by the ductile response of the evident salt layer to stress perturbations from the mainshocks.
The applications highlight the versatility of the simple PDR in probabilistic seismic source inversion capturing features of rather different, complex earthquakes. Limitations, as the evident focus on the major slip patches of the rupture are discussed as well as differences to other finite fault modeling methods.
Volcanic hazard assessment relies on physics-based models of hazards, such as lava flows and pyroclastic density currents, whose outcomes are very sensitive to the location where future eruptions will occur. On the contrary, forecast of vent opening locations in volcanic areas typically relies on purely data-driven approaches, where the spatial density of past eruptive vents informs the probability maps of future vent opening. Such techniques may be suboptimal in volcanic systems with missing or scarce data, and where the controls on magma pathways may change over time. An alternative approach was recently proposed, relying on a model of stress-driven pathways of magmatic dikes. In that approach, the crustal stress was optimized so that dike trajectories linked consistently the location of the magma chamber to that of past vents. The retrieved information on the stress state was then used to forecast future dike trajectories. The validation of such an approach requires extensive application to nature. Before doing so, however, several important limitations need to be removed, most importantly the two-dimensional (2D) character of the models and theoretical concepts. In this thesis, I develop methods and tools so that a physics-based strategy of stress inversion and eruptive vent forecast in volcanoes can be applied to three dimensional (3D) problems. In the first part, I test the stress inversion and vent forecast strategy on analog models, still within a 2D framework, but improving on the efficiency of the stress optimization. In the second part, I discuss how to correctly account for gravitational loading/unloading due to complex 3D topography with a Boundary-Element numerical model. Then, I develop a new, simplified but fast model of dike pathways in 3D, designed for running large numbers of simulations at minimal computational cost, and able to backtrack dike trajectories from vents on the surface. Finally, I combine the stress and dike models to simulate dike pathways in synthetic calderas. In the third part, I describe a framework of stress inversion and vent forecast strategy in 3D for calderas. The stress inversion relies on, first, describing the magma storage below a caldera in terms of a probability density function. Next, dike trajectories are backtracked from the known locations of past vents down through the crust, and the optimization algorithm seeks for the stress models which lead trajectories through the regions of highest probability. I apply the new strategy to the synthetic scenarios presented in the second part, and I exploit the results from the stress inversions to produce probability maps of future vent locations for some of those scenarios. In the fourth part, I present the inversion of different deformation source models applied to the ongoing ground deformation observed across the Rhenish Massif in Central Europe. The region includes the Eifel Volcanic Fields in Germany, a potential application case for the vent forecast strategy. The results show how the observed deformation may be due to melt accumulation in sub-horizontal structures in the lower crust or upper mantle. The thesis concludes with a discussion of the stress inversion and vent forecast strategy, its limitations and applicability to real volcanoes. Potential developments of the modeling tools and concepts presented here are also discussed, as well as possible applications to other geophysical problems.
1. Der Staat ist nach dem Krankenhausfinanzierungsgesetz und dem Grundgesetz zur funktionsgerechten Finanzierung der in den Krankenhausplan eines Landes aufgenommenen (Plan-)Krankenhäuser verpflichtet. Um die Versorgung der Bevölkerung mit Krankenhausbehandlung sicherzustellen, müssen die Länder sämtliche bei wirtschaftlicher Betriebsführung notwendigen Investitionskosten der Plankrankenhäuser decken (§ 1 Abs. 1, § 4 Nr. 1, § 9 Abs. 5 KHG, Art. 12 Abs. 1 GG). Es gilt das Kostendeckungsprinzip. Die Sozialleistungsträger müssen Krankenhäuser durch leistungsgerechte Erlöse aus den Pflegesätzen wirtschaftlich sichern (§ 1 Abs. 1, § 4 Nr. 2 KHG, Art. 12 Abs. 1 GG).
2. Die Vergütung der Krankenhäuser durch die Sozialleistungsträger ist unzureichend. Die Fallpauschalen des DRG-Systems bleiben hinter dem zur Betriebskostenfinanzierung erforderlichen Maß zurück, weil die anhaltenden Preissteigerungen in den Landesbasisfallwerten nicht ausreichend berücksichtigt sind.
3. Die Länder kommen ihrer gesetzlichen und verfassungsrechtlichen Verpflichtung zur Übernahme der notwendigen Investitionskosten der Plankrankenhäuser seit vielen Jahren ungenügend nach.
4. Vor allem Kommunen, aber auch Länder gewähren staatlichen Krankenhäusern Ausgleichsleistungen wie Jahresfehlbetragsdeckungen, Investitions- und Betriebskostenzuschüsse, Eigenkapitalerhöhungen, zinsvergünstigte Darlehen, kostenfreie Bürgschaften und Liquiditätshilfen (sog. Defizitausgleich). Eine weitere Form des selektiven Defizitausgleichs ist die Übernahme der Kosten von Entlastungstarifverträgen staatlicher Kliniken durch Länder. Freigemeinnützige und private Krankenhäuser erhalten bislang keinen solchen Defizitausgleich.
5. Der selektive Defizitausgleich eines Landes nur für staatliche Krankenhäuser verstößt gegen das gesetzliche (§ 1 Abs. 2 S. 1 und 2 KHG) und verfassungsrechtliche (Art. 12 Abs. 1 i.V.m. Art. 3 Abs. 1 GG) Gebot der Gleichbehandlung der Plankrankenhäuser (Prinzip der Trägervielfalt). Er ist des halb rechts- und verfassungswidrig.
6. Ein selektiver Defizitausgleich von Kommunen nur für eigene (kommunale) Krankenhäuser verstößt gegen das landesgesetzliche Prinzip der Trägervielfalt und das Gleichbehandlungsgebot des Art. 3 Abs. 1 GG und ist somit unzulässig.
7. Auf eigene Krankenhäuser beschränkte Ausgleichsleistungen von Kommunen oder Ländern sind eine unzulässige Beihilfe i.S.d. Art. 107 Abs. 1 AEUV und deshalb unvereinbar mit dem EU-Beihilferecht. Das gilt sowohl, wenn staatliche Krankenhäuser Ausgleichsleistungen für die Versorgung der Bevölkerung mit Krankenhausbehandlung (s. § 109 Abs. 1 S. 1 und 2, Abs. 4 S. 2 SGB V) erhalten, als auch, wenn der Ausgleich „Gegenleistung“ für eine hoheitlich auferlegte Betriebspflicht ist. Eine wirksame Durchsetzung des EU-Beihilferechts und effektiver Rechtsschutz für nicht begünstigte freigemeinnützige und private Krankenhäuser erfordern Transparenz und eine entsprechende Veröffentlichung der Betrauungsakte der Länder und Kommunen.
8. Ein Defizitausgleich für alle in den Krankenhausplan eines Landes aufgenommenen (Plan-)Krankenhäuser ist beihilferechtlich zulässig. Da sämtliche Plankrankenhäuser Dienstleistungen von allgemeinem wirtschaftlichen Interesse (DAWI) erbringen (gesetzliche Pflicht zur Versorgung der Bevölkerung mit Krankenhausbehandlung), müssen sie nach dem EU-Beihilferecht bei staatlichen Ausgleichsleistungen für die Erfüllung der Versorgungspflicht gleichbehandelt werden. Art. 107 Abs. 1 AEUV ist entsprochen, wenn entweder ein selektiver Defizitausgleich für staatliche Plankrankenhäuser unterbleibt bzw. aufgehoben und rückabgewickelt wird oder alle – staatlichen, freigemeinnützigen und privaten Plankrankenhäuser – gleichgefördert werden.
9. Diese nach dem EU-Beihilferecht bestehende Wahlmöglichkeit kann den Ländern nach nationalem Recht verschlossen sein. Ein Ausgleich der Länder für Investitionskosten ist prinzipiell erforderlich, um der gesetzlichen Verpflichtung aus § 1 Abs. 1, § 4 Nr. 1, § 9 Abs. 5 KHG nachzukommen und die notwendigen Investitionskosten der Plankrankenhäuser unter Beachtung betriebswirtschaftlicher Grundsätze zu decken. Freigemeinnützige und private Krankenhäuser haben Anspruch auf Ausgleichsleistungen zur Investitionskostendeckung bereits wegen des gesetzlichen Gebots funktionsgerechter Finanzierung (§ 8 Abs. 1 S. 1 KHG) und aus ihrem Grundrecht der Berufsfreiheit (Art. 12 Abs. 1 GG). Ihnen kann dieser Anspruch aber auch wegen des gesetzlichen und verfassungsrechtlichen Gebots der Gleichbehandlung zustehen. Gewähren die Länder staatlichen Plankrankenhäusern bei wirtschaftlicher Betriebsführung Ausgleichsleistungen, um ihrer Verpflichtung zur Übernahme notwendiger Investitionskosten nachzukommen, müssen sie freigemeinnützigen und privaten Plankrankenhäusern nach dem Gleichbehandlungsgebot einen entsprechenden Ausgleich zahlen (§ 8 Abs. 1 S. 1 i.V.m. § 1 Abs. 2 S. 1 und 2 KHG, Art. 12 Abs. 1 i.V.m. Art. 3 Abs. 1 GG). Einer nach nationalem Recht gebotenen, gleichen Förderung aller Plankrankenhäuser steht das EU-Beihilferecht nicht entgegen.
10. Die Kommunen sind dagegen nach nationalem Recht (über die Krankenhausumlage hinaus) nicht zur Krankenhausfinanzierung verpflichtet. Sie entscheiden gem. Art. 28 Abs. 2 S. 1 GG (Gemeinden) bzw. gem. Art. 28 Abs. 2 S. 2 GG i.V.m. Landeskrankenhausrecht (Gemeindeverbände) eigenverantwortlich, ob und in welchem Umfang sie Plankrankenhäuser unter Beachtung des Wirtschaftlichkeitsgebots finanziell unterstützen (Investitions- und Betriebskosten). Dementsprechend engt das nationale Recht die nach EU-Beihilferecht bestehende Wahlmöglichkeit für Kommunen nicht ein, selektive Ausgleichsleistungen für kommunale Krankenhäuser zu unterlassen bzw. aufzuheben und rückabzuwickeln oder sie so umzugestalten, dass freigemeinnützige und private Plankrankenhäuser die gleiche Förderung erhalten. Scheidet allerdings eine Rückzahlung der von Kommunen an ihre Krankenhäuser gezahlten Finanzmittel wegen tatsächlicher Unmöglichkeit aus, wird dem EU-Beihilferecht nur entsprochen, wenn die Kommunen freigemeinnützige und private Plankrankenhäuser gleichermaßen fördern.
11. Ohne eine Nachzahlung der in den letzten Jahren unterbliebenen Förderung durch die Sozialleistungsträger und die Länder ist die anstehende Krankenhausreform für die Krankenhäuser nicht zu bewältigen. Um die geplante Umstellung auf neue Versorgungslevel und Leistungsgruppen vornehmen und die hiermit verbundenen kostenintensiven Umstrukturierungsprozesse leisten zu können, muss die infolge unzureichender Krankenhausfinanzierung entstandene Unterfinanzierung der Krankenhäuser vor der Reform behoben werden. Die Forderungen nach „Vorschaltgesetzen“ sind daher berechtigt.
Der Artikel analysiert staatliche Krisenprävention am Fall der polizeilichen Ermittlungen vor dem Anschlag auf den Breitscheidplatz. Die Leitfrage lautet, warum die Polizei ihre Ermittlungen vorzeitig einstellte, obwohl sie Hinweise hatte, dass der spätere Täter beabsichtigte, einen Anschlag zu begehen. Wir zeigen, dass dies auf eine organisationale Dynamik zurückging, die typisch für staatliche Krisenprävention im Bereich Terrorismus scheint.
§§ 327-327u
(2023)
Public opinion polls have become vital and increasingly visible parts of election campaigns. Previous research has frequently demonstrated that polls can influence both citizens' voting intentions and political parties' campaign strategies. However, they are also fraught with uncertainty. Margins of error can reflect (parts of) this uncertainty. This paper investigates how citizens' voting intentions change due to whether polling estimates are presented with or without margins of error.
Using a vignette experiment (N=3224), we examine this question based on a real-world example in which different election polls were shown to nationally representative respondents ahead of the 2021 federal election in Germany. We manipulated the display of the margins of error, the interpretation of polls and the closeness of the electoral race.
The results indicate that margins of error can influence citizens' voting intentions. This effect is dependent on the actual closeness of the race and additional interpretative guidance provided to voters. More concretely, the results consistently show that margins of error increase citizens' inclination to vote for one of the two largest contesting parties if the polling gap between these parties is small, and an interpretation underlines this closeness.
The findings of this study are important for three reasons. First, they help to determine whether margins of error can assist citizens in making more informed (strategic) vote decisions. They shed light on whether depicting opinion-poll uncertainty affects the key features of representative democracy, such as democratic accountability. Second, the results stress the responsibility of the media. The way polls are interpreted and contextualized influences the effect of margins of error on voting behaviour. Third, the findings of this paper underscore the significance of including methodological details when communicating scientific research findings to the broader public.
La Wehrmacht tenía muy claro a qué escala podía esperar capturar a las tropas soviéticas, pero aun así descuidó los preparativos necesarios para alimentar y alojar a unos hombres que los planificadores económicos y los jefes militares consideraron que serían competidores directos de las fuerzas armadas en lo que a víveres se refiere. Las obvias limitaciones a su libertad de movimiento y la relativa facilidad con la que grandes cantidades de ellos pudieron ser segregados y sus raciones controladas fueron factores cruciales a la hora de explicar la muerte de más de tres millones de prisioneros de guerra soviéticos, la inmensa mayoría de ellos como consecuencia directa o indirecta del hambre y la desnutrición. El proceso se inició con un claro desinterés por encargarse debidamente de aquella gente, pero con la llegada del otoño derivó en la decisión clara y meditada de matar de hambre a todos los que no pudieran aportar su trabajo a la economía de guerra o a los ejércitos alemanes.
This book brings together a variety of innovative perspectives on the inclusion of gender in the governance of (counter-)terrorism and violent extremism.
Several global governance initiatives launched in recent years have explicitly sought to integrate concern for gender equality and gendered harms into efforts to counter terrorism and violent extremism (CT/CVE). As a result, commitments to gender-sensitivity and gender equality in international and regional CT/CVE initiatives, in national action plans and at the level of civil society programming, ´have become a common aspect of the multilevel governance of terrorism and violent extremism. In light of these developments, there is a need for more systematic analysis of how concerns about gender are being incorporated in the governance of (counter-)terrorism and violent extremism and how it has affected (gendered) practices and power relations in counterterrorism policy-making and implementation.
Ranging from the processes of global and regional integration of gender into the governance of terrorism, via the impact of the shift on government responses to the return of foreign fighters, to state and civil society-led CVE programming and academic discussions, the essays engage with the origins and dynamics behind recent shifts which bring gender to the forefront of the governance of terrorism. This book will be of great value to researchers and scholars interested in gender, governance and terrorism.
The chapters in this book were originally published in Critical Studies on Terrorism.
Introduction
(2023)
Several global governance initiatives launched in recent years have explicitly sought to integrate concern for gender equality and gendered harms into efforts to counter terrorism and violent extremism. As a result, commitments to gender-sensitivity and gender equality in international and regional counterterrorism and countering violent extremism (CT/CVE) initiatives, in national action plans, and at the level of civil society programming, have become a common aspect of the multilevel governance of terrorism and violent extremism. In light of these developments, aspects of our own research have turned in the past years to explore how concerns about gender are being incorporated in the governance of terrorism and violent extremism and how this development has affected (gendered) practices and power relations in CT policymaking and implementation. We were inspired by the growing literature on gender and CT/CVE, and critical scholarship on terrorism and political violence, to bring together a collection of new research addressing these questions.
Atwood (2022) analyzes the effects of the 1963 U.S. measles vaccination on longrun labor market outcomes, using a generalized difference-in-differences approach. We reproduce the results of this paper and perform a battery of robustness checks. Overall, we confirm that the measles vaccination had positive labor market effects. While the negative effect on the likelihood of living in poverty and the positive effect on the probability of being employed are very robust across the different specifications, the headline estimate-the effect on earnings-is more sensitive to the exclusion of certain regions and survey years.
Never again?
(2023)
The Holocaust was the most terrible atrocity of the 20th century. In many ways, it was also unprecedented in the history of atrocities: for its comprehensiveness and systematic nature; for the fanaticism with which its perpetrators scoured an entire continent in their pursuit of Jews; for the awful potency of the Nazis’ insinuation that the victims represented a pernicious and existential threat. Collectively, we have spent decades—and published millions of words—trying to understand what happened and why.
Sven Siefken und Hilmar Rommetvedt (Hrsg.). 2021. Parliamentary committees in the policy process
(2023)
In recent years, there have been a growing number of online and offline attacks linked to a loosely connected network of misogynist and antifeminist online communities called ‘the manosphere’. Since 2016, the ideas spread among and by groups of the manosphere have also become more closely aligned with those of other Far-Right online networks. In this commentary, I explore the role of what I term ‘evidence-based misogyny’ for mobilization and radicalization into the antifeminist and misogynist subcultures of the manosphere. Evidence-based misogyny is a discursive strategy, whereby members of the manosphere refer to (and misinterpret) knowledge in the form of statistics, studies, news items and pop-culture and mimic accepted methods of knowledge presentation to support their essentializing, polarizing views about gender relations in society. Evidence-based misogyny is a core aspect for manosphere-related mobilization as it provides a false sense of authority and forges a collective identity, which is framed as a supposed ‘alternative’ to mainstream gender knowledge. Due to its core function to justify and confirm the misogynist sentiments of users, evidence-based misogyny serves as connector between the manosphere and both mainstream conservative as well as other Far-Right and conspiratorial discourses.
A circulatory loop
(2023)
In the digitalization debate, gender biases in digital technologies play a significant role because of their potential for social exclusion and inequality. It is therefore remarkable that organizations as drivers of digitalization and as places for social integration have been widely overlooked so far. Simultaneously, gender biases and digitalization have structurally immanent connections to organizations. Therefore, a look at the reciprocal relationship between organizations, digitalization, and gender is needed. The article provides answers to the question of whether and how organizations (re)produce, reinforce, or diminish gender‐specific inequalities during their digital transformations. On the one hand, gender inequalities emerge when organizations use post‐bureaucratic concepts through digitalization. On the other hand, gender inequalities are reproduced when organizations either program or implement digital technologies and fail to establish control structures that prevent gender biases. This article shows that digitalization can act as a catalyst for inequality‐producing mechanisms, but also has the potential to mitigate inequalities. We argue that organizations must be considered when discussing the potential of exclusion through digitalization.
New work – old problem?
(2023)
Die Nutzung digitaler Kollaborationstools wird als Vorausset-
zung für eine postbürokratische New Work-Welt erachtet. Organisationale Digita-
lisierungsprojekte zur Einführung solcher Kollaborationssoftware sind selbst post-
bürokratisch strukturiert, d. h. sie arbeiten in crossfunktionalen und selbstorgani-
sierten Teams. Während der Kooperation mit anderen Organisationseinheiten treten
Konflikte auf, die sich dadurch verschärfen, dass sie nicht von der Hierarchie ge-
löst werden können, sondern im Sinne von New Work demokratisch ausgehandelt
werden müssen. In der Folge bedarf es alternativer formaler Strukturen, die diese
Herausforderung bewältigen.
Geschlechter in Un-Ordnung
(2023)
Wie blicken verschiedene Wissenschaftsdisziplinen (auch intersektional) auf trans, inter und nicht-binäre (TIN) Subjektpositionen jenseits der zweigeschlechtlichen Norm und Devianzen heterosexueller Lebensweisen? Wie werden Geschlechtervielfalt und Geschlechterrollen(-bilder) in zivilgesellschaftlichen Einrichtungen thematisiert? Die Autor*innen erörtern hochaktuelle gesellschaftliche, rechtliche und alltagspraktische Diskurse und Forderungen: Unter anderem werden die Änderung des Personenstandsgesetzes, das geplante Selbstbestimmungsrecht, geschlechtergerechte Sprache und die Idee der „TINklusiven“ Universität behandelt.
Der erste Teil der Anthologie bietet theoretische Auseinandersetzungen über Wechselwirkungen zwischen Gesellschaft und Geschlechterkonstruktionen. Der zweite Teil wendet sich den praktischen Handlungsfeldern und institutionellen Bewältigungsstrategien zu, mit in denen binär strukturierte Organisationen und Instanzen realer Geschlechtervielfalt begegnen und intentional oder unbeabsichtigt Zweigeschlechtlichkeit und Heteronormativität (re-)produzieren bzw. dekonstruieren. Auch mögliche Verstärkungen anderer Diskriminierungsformen durch Othering-Prozesse im Genderdiskurs werden thematisiert. Im dritten und letzten Teil werden hochschulpolitische Spielräume anhand verfassungsrechtlicher Prüfung und digitaler Handlungsoptionen ausgelotet.
Geschlechter in Un-Ordnung
(2023)
Wie blicken verschiedene Wissenschaftsdisziplinen (auch intersektional) auf trans, inter und nicht-binäre (TIN) Subjektpositionen jenseits der zweigeschlechtlichen Norm und Devianzen heterosexueller Lebensweisen? Wie werden Geschlechtervielfalt und Geschlechterrollen(-bilder) in zivilgesellschaftlichen Einrichtungen thematisiert? Die Autor*innen erörtern hochaktuelle gesellschaftliche, rechtliche und alltagspraktische Diskurse und Forderungen: Unter anderem werden die Änderung des Personenstandsgesetzes, das geplante Selbstbestimmungsrecht, geschlechtergerechte Sprache und die Idee der „TINklusiven“ Universität behandelt.
Der erste Teil der Anthologie bietet theoretische Auseinandersetzungen über Wechselwirkungen zwischen Gesellschaft und Geschlechterkonstruktionen. Der zweite Teil wendet sich den praktischen Handlungsfeldern und institutionellen Bewältigungsstrategien zu, mit in denen binär strukturierte Organisationen und Instanzen realer Geschlechtervielfalt begegnen und intentional oder unbeabsichtigt Zweigeschlechtlichkeit und Heteronormativität (re-)produzieren bzw. dekonstruieren. Auch mögliche Verstärkungen anderer Diskriminierungsformen durch Othering-Prozesse im Genderdiskurs werden thematisiert. Im dritten und letzten Teil werden hochschulpolitische Spielräume anhand verfassungsrechtlicher Prüfung und digitaler Handlungsoptionen ausgelotet.
forum:logopädie 37.2023, 6
(2023)
forum:logopädie 37 (2023), 1
(2023)
A biological trade-off situation denotes the dependence between traits whereby an increase in the value of one of the traits leads to a decrease in the value of at least one of the others. Understanding trade-offs in cellular systems is relevant to understanding the limits and constraints to tuning desired phenotypes. Therefore, it is mainly the case for rates (i.e. fluxes) of biochemical reactions that shape not only molecular traits, like metabolite concentrations but also determine physiological traits, like growth. Intracellular fluxes are the final phenotype from transcriptional and (post)translational regulation. Quantifying intracellular fluxes provides insights into cellular physiology under particular growth conditions and can be used to characterize the metabolic activity of different pathways. However, estimating fluxes from labelling experiments is labour-intensive; therefore, developing approaches to accurately and precisely predict intracellular fluxes is essential. This thesis addresses two main problems: (i) identifying flux trade-offs and (ii) predicting accurate and precise reaction flux at a genome-scale level. To this end, the concept of an absolute flux trade-off is defined, and a constraint-based approach, termed FluTO, was developed to identify absolute flux trade-offs. FluTO is cast as a mixed integer programming approach applied to genome-scale metabolic models of E. coli, S. cerevisiae, and A. thaliana, imposing realistic constraints on growth and nutrient uptake.. The findings showed that trade-offs are not only species-specific but also specific to carbon sources. In addition, we found that different models of a single species have a different number of reactions in trade-offs. We also showed that absolute flux trade-offs depend on the biomass reaction used to model the growth of A. thaliana under different carbon and nitrogen conditions. Findings reflect the strong relation between nitrogen, carbon, and sulphur metabolisms in the leaves of C3 plants. The concept of relative trade-offs was introduced to further study trade-offs in metabolic networks. A constraint-based approach, FluTOr, was proposed to identify reactions whose fluxes are in relative trade-off concerning an optimized fitness-related cellular task, like growth. FluTOr was employed to find the relative flux trade-offsin the genome-scale metabolic networks of E. coli, S. cerevisiae, and A. thaliana. The results showed that in contrast to the A. thaliana model, the relative trade-offs in the two microorganisms depend on the carbon source, reflecting the differences in the underlying metabolic network. Furthermore, applying FluTOr also showed that reactions that participated in relative trade-offs were implicated in cofactor biosynthesis in the two microorganisms. Prediction of reaction fluxes in the constraint-based metabolic framework is usually performed by parsimonious flux balance analysis (pFBA), employing the principle of efficient usage of protein resources. However, we argued that principles related to the coordination of flux values, neglected in previous studies, provide other means to predict intracellular fluxes. To this end, we designed a constraint-based approach, termed complex-balanced FBA (cbFBA), to predict steady-state flux distributions that maximize the number of balanced complexes in a flux distribution, whereby multi-reaction dependencies are maximized. The comparative analysis showed a better agreement of the flux distributions resulting from cbFBA compared to pFBA with experimentally measured fluxes from 17 E. coli strains and 26 S. cerevisiae knock-out mutants. The results also showed that the predictions from cbFBA are more precise than those from pFBA since cbFBA results in a smaller space of alternative solutions than pFBA.
The emerging threat of antibiotic-resistant bacteria has become a global challenge in the last decades, leading to a rising demand for alternative treatments for bacterial infections. One approach is to target the bacterial cell envelope, making understanding its biophysical properties crucial. Specifically, bacteriophages use the bacterial envelope as an entry point to initiate infection, and they are considered important building blocks of new antibiotic strategies against drug-resistant bacteria.. Depending on the structure of the cell wall, bacteria are classified as Gram-negative and Gram-positive. Gram-negative bacteria are equipped with a complex cell envelope composed of two lipid membranes enclosing a rigid peptidoglycan layer. The synthesis machinery of the Gram-negative cell envelope is the target of antimicrobial agents, including new physical sanitizing procedures addressing the outer membrane (OM). It is therefore very important to study the biophysical properties of the Gram-negative bacterial cell envelope. The high complexity of the Gram-negative OM sets the demand for a model system in which the contribution of individual components can be evaluated separately. In this respect, giant unilamellar vesicles (GUVs) are promising membrane systems to study membrane properties while controlling parameters such as membrane composition and surrounding medium conditions.
The aim of this work was to develop methods and approaches for the preparation and characterization of a GUV-based membrane model that mimics the OM of the Gram-negative cell envelope. A major component of the OM is the lipopolysaccharide (LPS) on the outside of the OM heterobilayer. The vesicle model was designed to contain LPS in the outer leaflet and lipids in the inner leaflet. Furthermore, the interaction of the prepared LPS-GUVs with bacteriophages was tested. LPS containing GUVs were prepared by adapting the inverted emulsion technique to meet the challenging properties of LPS, namely their high self-aggregation rate in aqueous solutions. Notably, an additional emulsification step together with the adaption of solution conditions was employed to asymmetrically incorporate LPS containing long polysaccharide chains into the artificial membranes. GUV membrane asymmetry was verified with a fluorescence quenching assay. Since the necessary precautions for handling the quenching agent sodium dithionite are often underestimated and poorly described, important parameters were tested and identified to obtain a stable and reproducible assay. In the context of varied LPS incorporation, a microscopy-based technique was introduced to determine the LPS content on individual GUVs and to directly compare vesicle properties and LPS coverage. Diffusion coefficient measurements in the obtained GUVs showed that increasing LPS concentrations in the membranes resulted in decreased diffusivity.
Employing LPS-GUVs we could demonstrate that a Salmonella bacteriophage bound with high specificity to its LPS receptor when presented at the GUV surface, and that the number of bound bacteriophages scaled with the amount of presented LPS receptor. In addition to binding, the bacteriophages were able to eject their DNA into the vesicle lumen. LPS-GUVs thus provide a starting platform for bottom-up approaches for the generation of more complex membranes, in which the effects of individual components on the membrane properties and the interaction with antimicrobial agents such as bacteriophages could be explored.
Aquatic ecosystems are frequently overlooked as fungal habitats, although there is increasing evidence that their diversity and ecological importance are greater than previously considered. Aquatic fungi are critical and abundant components of nutrient cycling and food web dynamics, e.g., exerting top-down control on phytoplankton communities and forming symbioses with many marine microorganisms. However, their relevance for microphytobenthic communities is almost unexplored. In the light of global warming, polar regions face extreme changes in abiotic factors with a severe impact on biodiversity and ecosystem functioning. Therefore, this study aimed to describe, for the first time, fungal diversity in Antarctic benthic habitats along the salinity gradient and to determine the co-occurrence of fungal parasites with their algal hosts, which were dominated by benthic diatoms. Our results reveal that Ascomycota and Chytridiomycota are the most abundant fungal taxa in these habitats. We show that also in Antarctic waters, salinity has a major impact on shaping not just fungal but rather the whole eukaryotic community composition, with a diversity of aquatic fungi increasing as salinity decreases. Moreover, we determined correlations between putative fungal parasites and potential benthic diatom hosts, highlighting the need for further systematic analysis of fungal diversity along with studies on taxonomy and ecological roles of Chytridiomycota.
Leo Baeck
(2023)
Leo Baeck gilt als bedeutendster Repräsentant des deutschen Judentums in der ersten Hälfte des 20. Jahrhunderts und als Spiritus rector von dessen liberaler Richtung. Er entwickelte seinen Ansatz zu einer jüdischen Theologie in kritischer Auseinandersetzung mit dem zeitgenössischen Protestantismus. Als jüdischer Religionsphilosoph steht Baeck in einer Reihe mit Hermann Cohen (1842–1918), Franz Rosenzweig (1886–1929) und Martin Buber (1878–1965).
In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.
In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.
Antisemitismus
(2023)
Ist Antisemitismus ein Rassismus, der sich gegen Jüdinnen und Juden richtet? Nein, er ist ein eigenständiges Phänomen, zu dessen Besonderheiten gehört, dass er häufig mit einem System der Weltverschwörung verknüpft wird. Doch es gibt rassistischen Antisemitismus. Auch die Shoah basierte auf einer rassistischen Einteilung von Menschen.
The digitization has permeated almost all aspects of an individual’s life. In the work context as well as in the private sphere, one readily encounters and relies on Information and Communication Technologies (ICTs), such as Social Networking Sites (SNS), smartphones and so forth. By communicating with as well as obtaining information via such technologies, ICTs engage one’s mind as interaction happens. This interaction of ICTs and the human mind form the focal topic of this thesis. Within this thesis, the human mind is represented on behalf of a facilitated model comprising a perceptual, a cognitive and a motor subsystem. ICTs represent an external stimulus, which triggers the human mind's perceptual subsystem, the cognitive subsystem and eventually leads to a motoric response via the motor subsystem. The external stimulus causing this event chain is within this thesis an ICT. The digital environment and related ICTs are high attention environments offering large and easily accessible amounts of information. Not surprisingly, issues may arise, when the human mind deals with ICTs. Thus, the interplay between ICTs and the human mind entails downsides. This thesis investigates these downsides and in addition the ICT-based factors that cause these downsides. More specifically, the thesis investigates these two aspects as research questions in the context of SNSs as well as other ICTs (such as smartphones, e-learning etc.). Addressing the research questions, 8 articles are submitted within this thesis which address the topic with different methodologies, including quantitative, qualitative, mixed methods as well as systematic literature reviews. Article 1 investigates factors that lead to SNS fatigue and discontinuance intentions in a mixed-methods design. Article 2 explores if certain factors encountered on a newsfeed hamper sensemaking. Article 3 proposes a study design to explore the link between disorderly perceptions of a SNSs newsfeed and gender stereotype activations. Article 4 considers the interplay between users and algorithms via the newsfeed interface and the implications for relevance perceptions. Article 5 explores information acquisition, hampering factors and verification strategies of social media users. Article 6 systematically reviews addiction scales of various ICTs. Article 7 investigates click behavior in e-learning contexts and how this is linked to cultural and personality traits. Finally, article 8 offers a comprehensive overview of the antecedents and consequences of children’s smartphone usage. Within the specific context of SNSs, the thesis suggests that the cognitive tolls imposed on users’ minds cause adverse effects, such as impaired sensemaking, fatigue, stereotype activation as well as intentions to discontinue the service. Other ICTs lead to addiction, and i.e., smartphones evidence to cause cognitive impairments in children. Factors on the ICT side that promote these adverse effects are linked to specific features, such as the newsfeed for SNSs and entail overload or perceptions of disorder. The thesis adds theoretically to the understanding of downsides that arise from the interplay between human minds and ICTs. Especially, the context of SNSs is spotlighted and insights add to the growing body of literature on experiences and perceptions. For instance, one study’s result suggests that considering information organization is as important as merely decreasing overload perceptions from the users in countering adverse effects of SNS usage. Practically, the thesis emphasizes the importance of mindful interaction with ICTs. Future research is welcome to build on the exploratory investigations and may draw an even more holistic picture to enhance the interaction between ICTs and the human mind.
Schneller, weiter, besser?
(2023)
Der Beitrag nimmt die Kritik an der verzögerten Umsetzung des Onlinezugangsgesetzes (OZG) zum Anlass, um die Digitalisierung der Verwaltung organisationssoziologisch zu diskutieren. Die verfolgte These ist, dass die Verzögerungen der Umsetzung von Digitalisierungsprojekten ihren Ursprung im Umgang der Verwaltung mit einem Spannungsfeld haben: Während politisch versucht wird, sich mithilfe einer Digitalisierung der Verfahren als bessere, schnellere und effizientere Verwaltung zu legitimieren, erzeugt eben diese Digitalisierung Probleme für die Legitimationsmechanismen der Verwaltung. Grundlegend für diese These ist die Figur der Legitimation durch Verfahren von Niklas Luhmann. Der Beitrag greift dementsprechend aktuelle Literatur zum Themengebiet auf, kategorisiert die gefundenen Erkenntnisse in zwei Problemfelder – Operationalisierungs- und Darstellungsprobleme – und begründet das Entstehen dieser Problemfelder mithilfe der Theorie sozialer Systeme. Diese begreift Verfahren als Handlungssysteme, die einen zentralen Stellenwert für die Legitimation der Verwaltungsorganisationen haben. Zuletzt wird diskutiert ob und wie die Erkenntnisse aus der theoretischen Diskussion für die Praxis fruchtbar gemacht werden können.
In the context of persistent images of self-perpetuated technologies, we discuss the interplay of digital technologies and organisational dynamics against the backdrop of systems theory. Building on the case of an international corporation that, during an agile reorganisation, introduced an AI-based personnel management platform, we show how technical systems produce a form of algorithmic contingency that subsequently leads to the emergence of formal and informal interaction systems. Using the concept of datafication, we explain how these interactions are barriers to the self-perpetuation of data-based decision-making, making it possible to take into consideration further decision factors and complementing the output of the platform. The research was carried out within the scope of the research project ‘Organisational Implications of Digitalisation: The Development of (Post-)Bureaucratic Organisational Structures in the Context of Digital Transformation’ funded by the German Research Foundation (DFG).
Der Beitrag behandelt eine Marginalie der strafrechtlichen Fallbearbeitung, die "Vorprüfung“ bei der Erörterung von Versuchsstrafbarkeit. Fehler sind hier selten, kommen aber in der Universitäts- und Examensrealität vor. Zu ihrer Vermeidung gibt der vorliegende Beitrag einige Ratschläge und Hinweise.
forum:logopädie 37.2023, 3
(2023)
Background: Following the rapid increase of asylum seekers arriving in the European Union in 2015/16, policymakers have invested heavily in improving their foresight and forecasting capabilities. A common method to elicit expert predictions are Delphi surveys. This approach has attracted concern in the literature, given the high uncertainty in experts’ predictions. However, there exists limited guidance on specific design choices for future-related Delphi surveys.
Objective: We test whether or not small adjustments to the Delphi survey can increase certainty (i.e., reduce variation) in expert predictions on immigration to the EU in 2030.
Methods: Based on a two-round Delphi survey with 178 migration experts, we compare variation and subjective confidence in expert predictions and assess whether additional context information (type of migration flow, sociopolitical context) promotes convergence among experts (i.e., less variation) and confidence in their own estimates.
Results: We find that additional context information does not reduce variation and does not increase confidence in expert predictions on migration.
Conclusions: The results reaffirm recent concerns regarding the limited scope for reducing uncertainty by manipulating the survey setup. Persistent uncertainty may be a result of the complexity of migration processes and limited agreement among migration experts regarding key drivers.
Contribution: We caution policymakers and academics on the use of Delphi surveys for eliciting expert predictions on immigration, even when conducted based on a large pool of experts and using specific scenarios. The potential of alternative approaches such as prediction markets should be further explored.
Organization not found
(2023)
Der Beitrag in der Zeitschrift GIO beschäftigt sich mit der Frage nach den Schwierigkeiten von Digitalisierungsreformen in öffentlichen Verwaltungen. Der Blick wird dafür auf Verwaltungen als Organisationen gerichtet, deren formale Strukturen die Digitalisierungsreform erschweren, da steile Hierarchien und Dienstwegeregelungen mit netzwerkartigen Projektstrukturen konfligieren, agile Arbeitsweisen der Orientierung an rechtlich legitimierten Verfahren zuwiderlaufen und das Personal nicht mit den nötigen Kompetenzen ausgestattet wird. Der organisationssensible Fokus erlaubt es, nicht nur die Probleme der Strukturen zu betrachten, sondern auch deren Funktionen für den Systembestand von Verwaltungen zu berücksichtigen. So wird gezeigt, dass etwa Dienstwegeregelungen demokratische Prozesse gewährleisten und Verantwortungsdiffusion verhindern, ihre Rechtsorientierung den Verwaltungen Legitimation und Autonomie verschafft und das Personal durch seine Regeleinhaltung funktionierende Verfahren und Objektivität gewährleistet. Diese Spannungsfelder berücksichtigend, wird daher der Vorschlag gemacht, in Reformen nicht nur ihre Optimierungsfunktion zu sehen, sondern sie als Werkzeug für ein besseres Verständnis der vorherrschenden Strukturen zu nutzen. Der Beitrag gibt abschließend Fragen an die Hand, wie man sich diesem Verständnis nähern kann.
The analysis of event time series is in general challenging. Most time series analysis tools are limited for the analysis of this kind of data. Recurrence analysis, a powerful concept from nonlinear time series analysis, provides several opportunities to work with event data and even for the most challenging task of comparing event time series with continuous time series. Here, the basic concept is introduced, the challenges are discussed, and the future perspectives are summarized.
Recurrences in past climates
(2023)
Our ability to predict the state of a system relies on its tendency to recur to states it has visited before. Recurrence also pervades common intuitions about the systems we are most familiar with: daily routines, social rituals and the return of the seasons are just a few relatable examples. To this end, recurrence plots (RP) provide a systematic framework to quantify the recurrence of states. Despite their conceptual simplicity, they are a versatile tool in the study of observational data. The global climate is a complex system for which an understanding based on observational data is not only of academical relevance, but vital for the predurance of human societies within the planetary boundaries. Contextualizing current global climate change, however, requires observational data far beyond the instrumental period. The palaeoclimate record offers a valuable archive of proxy data but demands methodological approaches that adequately address its complexities. In this regard, the following dissertation aims at devising novel and further developing existing methods in the framework of recurrence analysis (RA). The proposed research questions focus on using RA to capture scale-dependent properties in nonlinear time series and tailoring recurrence quantification analysis (RQA) to characterize seasonal variability in palaeoclimate records (‘Palaeoseasonality’).
In the first part of this thesis, we focus on the methodological development of novel approaches in RA. The predictability of nonlinear (palaeo)climate time series is limited by abrupt transitions between regimes that exhibit entirely different dynamical complexity (e.g. crossing of ‘tipping points’). These possibly depend on characteristic time scales. RPs are well-established for detecting transitions and capture scale-dependencies, yet few approaches have combined both aspects. We apply existing concepts from the study of self-similar textures to RPs to detect abrupt transitions, considering the most relevant time scales. This combination of methods further results in the definition of a novel recurrence based nonlinear dependence measure. Quantifying lagged interactions between multiple variables is a common problem, especially in the characterization of high-dimensional complex systems. The proposed ‘recurrence flow’ measure of nonlinear dependence offers an elegant way to characterize such couplings. For spatially extended complex systems, the coupled dynamics of local variables result in the emergence of spatial patterns. These patterns tend to recur in time. Based on this observation, we propose a novel method that entails dynamically distinct regimes of atmospheric circulation based on their recurrent spatial patterns. Bridging the two parts of this dissertation, we next turn to methodological advances of RA for the study of Palaeoseasonality. Observational series of palaeoclimate ‘proxy’ records involve inherent limitations, such as irregular temporal sampling. We reveal biases in the RQA of time series with a non-stationary sampling rate and propose a correction scheme.
In the second part of this thesis, we proceed with applications in Palaeoseasonality. A review of common and promising time series analysis methods shows that numerous valuable tools exist, but their sound application requires adaptions to archive-specific limitations and consolidating transdisciplinary knowledge. Next, we study stalagmite proxy records from the Central Pacific as sensitive recorders of mid-Holocene El Niño-Southern Oscillation (ENSO) dynamics. The records’ remarkably high temporal resolution allows to draw links between ENSO and seasonal dynamics, quantified by RA. The final study presented here examines how seasonal predictability could play a role for the stability of agricultural societies. The Classic Maya underwent a period of sociopolitical disintegration that has been linked to drought events. Based on seasonally resolved stable isotope records from Yok Balum cave in Belize, we propose a measure of seasonal predictability. It unveils the potential role declining seasonal predictability could have played in destabilizing agricultural and sociopolitical systems of Classic Maya populations.
The methodological approaches and applications presented in this work reveal multiple exciting future research avenues, both for RA and the study of Palaeoseasonality.
The 2022 Kunming-Montreal Global Biodiversity Framework (GBF) and Paris Agreement (PA) are highly complementary agreements where each depends on the other’s success to be effective. The GBF offers a very specific framework of interim goals and targets that break down the objective of the Convention on Biodiversity (CBD) into a decade-spanning work plan. Comprised of 10 sections – including a 2050 vision and a 2030 mission, four overarching goals and 23 specific targets – the GBF is expected to guide biodiversity policy around the world in the coming years to decades. A similar set of global interim climate policy targets could translate the global temperature goal into concrete policy milestones that would provide policy makers and civil society with reference points for policy making and efforts to hold governments accountable. Beyond inspiring climate policy experts to convert temperature goals into policy milestones, GBF has the potential to strengthen the implementation of the PA at the nexus of biodiversity and climate (adaptation and mitigation) action. For example, the GBF can help to ensure that nature-based climate solutions are implemented with full consideration of biodiversity concerns, of the rights and interests of Indigenous Peoples and local communities, and with fair and transparent benefit sharing arrangements. In sum, the GBF should be mandatory reading for all climate policy makers.
Following the extinction of dinosaurs, the great adaptive radiation of mammals occurred, giving rise to an astonishing ecological and phenotypic diversity of mammalian species. Even closely related species often inhabit vastly different habitats, where they encounter diverse environmental challenges and are exposed to different evolutionary pressures. As a response, mammals evolved various adaptive phenotypes over time, such as morphological, physiological and behavioural ones. Mammalian genomes vary in their content and structure and this variation represents the molecular mechanism for the long-term evolution of phenotypic variation. However, understanding this molecular basis of adaptive phenotypic variation is usually not straightforward.
The recent development of sequencing technologies and bioinformatics tools has enabled a better insight into mammalian genomes. Through these advances, it was acknowledged that mammalian genomes differ more, both within and between species, as a consequence of structural variation compared to single-nucleotide differences. Structural variant types investigated in this thesis - such as deletion, duplication, inversion and insertion, represent a change in the structure of the genome, impacting the size, copy number, orientation and content of DNA sequences. Unlike short variants, structural variants can span multiple genes. They can alter gene dosage, and cause notable gene expression differences and subsequently phenotypic differences. Thus, they can lead to a more dramatic effect on the fitness (reproductive success) of individuals, local adaptation of populations and speciation.
In this thesis, I investigated and evaluated the potential functional effect of structural variations on the genomes of mustelid species. To detect the genomic regions associated with phenotypic variation I assembled the first reference genome of the tayra (Eira barbara) relying on linked-read sequencing technology to achieve a high level of genome completeness important for reliable structural variant discovery. I then set up a bioinformatics pipeline to conduct a comparative genomic analysis and explore variation between mustelid species living in different environments. I found numerous genes associated with species-specific phenotypes related to diet, body condition and reproduction among others, to be impacted by structural variants.
Furthermore, I investigated the effects of artificial selection on structural variants in mice selected for high fertility, increased body mass and high endurance. Through selective breeding of each mouse line, the desired phenotypes have spread within these populations, while maintaining structural variants specific to each line. In comparison to the control line, the litter size has doubled in the fertility lines, individuals in the high body mass lines have become considerably larger, and mice selected for treadmill performance covered substantially more distance. Structural variants were found in higher numbers in these trait-selected lines than in the control line when compared to the mouse reference genome. Moreover, we have found twice as many structural variants spanning protein-coding genes (specific to each line) in trait-selected lines. Several of these variants affect genes associated with selected phenotypic traits. These results imply that structural variation does indeed contribute to the evolution of the selected phenotypes and is heritable.
Finally, I suggest a set of critical metrics of genomic data that should be considered for a stringent structural variation analysis as comparative genomic studies strongly rely on the contiguity and completeness of genome assemblies. Because most of the available data used to represent reference genomes of mammalian species is generated using short-read sequencing technologies, we may have incomplete knowledge of genomic features. Therefore, a cautious structural variation analysis is required to minimize the effect of technical constraints.
The impact of structural variants on the adaptive evolution of mammalian genomes is slowly gaining more focus but it is still incorporated in only a small number of population studies. In my thesis, I advocate the inclusion of structural variants in studies of genomic diversity for a more comprehensive insight into genomic variation within and between species, and its effect on adaptive evolution.
§ 651j BGB Verjährung
(2023)
§ 651m BGB Minderung
(2023)
§ 651l BGB Kündigung
(2023)
§ 651k BGB Abhilfe
(2023)
Zu den priorisierten Legislativvorhaben der EU-Kommission zählten zuletzt vor allem auch solche, welche die Nutzbarkeit von Daten zur Wohlfahrtssteigerung im Binnenmarkt zum Gegenstand haben. Der Data Governance Act ist bereits in Kraft; nun liegt der Vorschlag für einen Data Act vor. Dieser Beitrag behandelt dessen Verhältnis zum EU-Datenschutzrecht. Hierbei wird deutlich, wie schmerzlich eine ausgefeilte sekundärrechtliche Konkurrenzlehre fehlt.
§2 Anwendungsbereich
(2023)
Solar photocatalysis is the one of leading concepts of research in the current paradigm of sustainable chemical industry. For actual practical implementation of sunlight-driven catalytic processes in organic synthesis, a cheap, efficient, versatile and robust heterogeneous catalyst is necessary. Carbon nitrides are a class of organic semiconductors who are known to fulfill these requirements.
First, current state of solar photocatalysis in economy, industry and lab research is overviewed, outlining EU project funding, prospective synthetic and reforming bulk processes, small scale solar organic chemistry, and existing reactor designs and prototypes, concluding feasibility of the approach.
Then, the photocatalytic aerobic cleavage of oximes to corresponding aldehydes and ketones by anionic poly(heptazine imide) carbon nitride is discussed. The reaction provides a feasible method of deprotection and formation of carbonyl compounds from nitrosation products and serves as a convenient model to study chromoselectivity and photophysics of energy transfer in heterogeneous photocatalysis.
Afterwards, the ability of mesoporous graphitic carbon nitride to conduct proton-coupled electron transfer was utilized for the direct oxygenation of 1,3-oxazolidin-2-ones to corresponding 1,3-oxazlidine-2,4-diones. This reaction provides an easier access to a key scaffold of diverse types of drugs and agrochemicals.
Finally, a series of novel carbon nitrides based on poly(triazine imide) and poly(heptazine imide) structure was synthesized from cyanamide and potassium rhodizonate. These catalysts demonstrated a good performance in a set of photocatalytic benchmark reactions, including aerobic oxidation, dual nickel photoredox catalysis, hydrogen peroxide evolution and chromoselective transformation of organosulfur precursors.
Concluding, the scope of carbon nitride utilization for net-oxidative and net-neutral photocatalytic processes was expanded, and a new tunable platform for catalyst synthesis was discovered.
Biogeochemical analyses of lacustrine environments are well-established methods that allow exploring and understanding complex systems in the lake ecosystem. However, most were conducted in temperate lakes controlled by entirely different physical conditions than in tropical climates. The most important difference between the temperate and tropical lakes is lacking seasonal temperature fluctuations in the latter, which leads to a stable temperature gradient in the water column. Thus, the water column in tropical latitudes generally is void of perturbations that can be seen in their temperate counterparts. Permanent stratification in the water column provides optimal conditions for intact sedimentation. The geochemical processes in the water column and the weathering process in the distinct lithology in the catchment leads to the different biogeochemical characteristic in the sediment. Conducting a biogeochemical study in this lake sediment, especially in the Sediment Water Interface (SWI) helps reveal the sedimentation and diagenetic process records influenced by the internal or external loading. Lake Sentani, the study area, is one of the thousands of lakes in Indonesia and located in the Papua province. This tropical lake has a unique feature, as it consists of four interconnected sub-basins with different water depths. More importantly, its catchment is comprised of various different lithologies. Hence, its lithological characteristics are highly diverse, and range from mafic and ultramafic rocks to clastic sediment and carbonates. Each sub-basin receives a distinct sediment input. Equally important, besides the natural loading, Lake Sentani is also influenced by anthropogenic input. Previous studies have elaborated that there is an increase in population growth rate around the lake which has direct consequences on eutrophication. Considering these factors, the government of The Republic of Indonesia put Lake Sentani on the list of national priority lakes for restoration. This thesis aims to develop a fundamental understanding of Lake Sentani's sedimentary geochemistry and geomicrobiology with a special focus on the effects of different lithologies and anthropogenic pressures in the catchment area. We conducted geochemical and geomicrobiology research on Lake Sentani to meet this objective. We investigated geochemical characteristics in the water column, porewater, and sediment core of the four sub-basins. Additional to direct investigations of the lake itself, we also studied the sediments in the tributary rivers, of which some are ephemeral, as well as the river mouths, as connections between riverine and the lacustrine habitat. The thesis is composed of three main publications about Lake Sentani and supported by several publications that focus on other tropical lakes in Indonesia. The first main publication investigates the geochemical characterization of the water column, porewater, and surface sediment (upper 40-50 cm) from the center of the four sub-basins. It reveals that besides catchment lithology, the water column heavily influences the geochemical characteristics in the lake sediments and their porewater. The findings indicate that water column stratification has a strong influence on overall chemistry. The four sub-basins are very different with regard to their water column chemistry. Based on the physicochemical profiles, especially dissolved oxygen, one sub-basin is oxygenated, one intermediate i.e. just reaches oxygen depletion at the sediment-water interface, and two sub-basins are fully meromictic. However, all four sub-basins share the same surface water chemistry. The structure of the water column creates differences on the patterns of anions and cations in the porewater. Likewise, the distinct differences in geochemical composition between the sub-basins show that the lithology in the catchment affects the geochemical characteristic in the sediment. Overall, water column stratification and particularly bottom water oxygenation strongly influence the overall elemental composition of the sediment and porewater composition. The second publication reveals differences in surface sediment composition between habitats, influenced by lithological variations in the catchment area. The macro-element distribution shows that the geochemical characteristics between habitats are different. Furthermore, the geochemical composition also indicates a distinct distribution between the sub-basins. The geochemical composition of the eastern sub-basin suggests that lithogenic elements are more dominant than authigenic elements. This is also supported by sulfide speciation, particle distribution, and smear slide data. The third publication is a geomicrobiological study of the surface sediment. We compare the geochemical composition of the surface sediment and its microbiological composition and compare the different signals. Next Generation Sequencing (NGS) of the 16S rRNA gene was applied to determine the microbial community composition of the surface sediment from a great number of locations. We use a large number of sampling sites in all four sub-basins as well as in the rivers and river mouths to illustrate the links between the river, the river mouth, and the lake. Rigorous assessment of microbial communities across the diverse Lake Sentani habitats allowed us to study some of these links and report novel findings on microbial patterns in such ecosystems. The main result of the Principal Coordinates Analysis (PCoA) based on microbial community composition highlighted some commonalities but also differences between the microbial community analysis and the geochemical data. The microbial community in rivers, river mouths and sub-basins is strongly influenced by anthropogenic input from the catchment area. Generally, Bacteroidetes and Firmicutes could be an indicator for river sediments. The microbial community in the river is directly influenced by anthropogenic pressure and is markedly different from the lake sediment. Meanwhile, the microbial community in the lake sediment reflects the anoxic environment, which is prevalent across the lake in all sediments below a few mm burial depth. The lake sediments harbour abundant sulfate reducers and methanogens. The microbial communities in sediments from river mouths are influenced by both rivers and lake ecosystems. This study provides valuable information to understand the basic processes that control biogeochemical cycling in Lake Sentani. Our findings are critical for lake managers to accurately assess the uncertainties of the changing environmental conditions related to the anthropogenic pressure in the catchment area. Lake Sentani is a unique study site directly influenced by the different geology across the watershed and morphometry of the four studied basins. As a result of these factors, there are distinct geochemical differences between the habitats (river, river mouth, lake) and the four sub-basins. In addition to geochemistry, microbial community composition also shows differences between habitats, although there are no obvious differences between the four sub-basins. However, unlike sediment geochemistry, microbial community composition is impacted by human activities. Therefore, this thesis will provide crucial baseline data for future lake management.
The shallow Earth’s layers are at the interplay of many physical processes: some being driven by atmospheric forcing (precipitation, temperature...) whereas others take their origins at depth, for instance ground shaking due to seismic activity. These forcings cause the subsurface to continuously change its mechanical properties, therefore modulating the strength of the surface geomaterials and hydrological fluxes. Because our societies settle and rely on the layers hosting these time-dependent properties, constraining the hydro-mechanical dynamics of the shallow subsurface is crucial for our future geographical development. One way to investigate the ever-changing physical changes occurring under our feet is through the inference of seismic velocity changes from ambient noise, a technique called seismic interferometry. In this dissertation, I use this method to monitor the evolution of groundwater storage and damage induced by earthquakes. Two research lines are investigated that comprise the key controls of groundwater recharge in steep landscapes and the predictability and duration of the transient physical properties due to earthquake ground shaking. These two types of dynamics modulate each other and influence the velocity changes in ways that are challenging to disentangle. A part of my doctoral research also addresses this interaction. Seismic data from a range of field settings spanning several climatic conditions (wet to arid climate) in various seismic-prone areas are considered. I constrain the obtained seismic velocity time-series using simple physical models, independent dataset, geophysical tools and nonlinear analysis. Additionally, a methodological development is proposed to improve the time-resolution of passive seismic monitoring.
The impact of civilian harm on strategic outcomes in war has been the subject of persistent debate. However, the literature has primarily focused on civilian casualties, thereby overlooking the targeting of civilian infrastructure, which is a recurrent phenomenon during war. This study fills this gap by examining the targeting of healthcare, one of the most indispensable infrastructures during war and peace time. We contend that attacks on medical facilities are distinct from direct violence against civilians. Because they are typically unrelated to military dynamics, the targeting of hospitals is a highly visible form and powerful signal of civilian victimization. To assess its effects, we analyze newly collected data on such attacks by pro-government forces and event data on combat activities in Northwest Syria (2017-2020). Applying a new approach for panel data analysis that combines matching methods with a difference-in-differences estimation, we examine the causal effect of counterinsurgent bombings on subsequent violent events. Distinguishing between regime-initiated and insurgent-initiated combat activities and their associated fatalities, we find that the targeting of hospitals increases insurgent violence. We supplement the quantitative analysis with unique qualitative evidence derived from interviews, which demonstrates that hospital bombings induce rebels to resist more fiercely through two mechanisms: intrinsic motivations and civilian pressure. The results have important implications for the effects of state-led violence and the strength of legal norms that protect noncombatants.
Planned decommissioning of coal-fired plants in Europe requires innovative technical and economic strategies to support coal regions on their path towards a climate-resilient future. The repurposing of open pit mines into hybrid pumped hydro power storage (HPHS) of excess energy from the electric grid, and renewable sources will contribute to the EU Green Deal, increase the economic value, stabilize the regional job market and contribute to the EU energy supply security. This study aims to present a preliminary phase of a geospatial workflow used to evaluate land suitability by implementing a multi-criteria decision making (MCDM) technique with an advanced geographic information system (GIS) in the context of an interdisciplinary feasibility study on HPHS in the Kardia lignite open pit mine (Western Macedonia, Greece). The introduced geospatial analysis is based on the utilization of the constraints and ranking criteria within the boundaries of the abandoned mine regarding specific topographic and proximity criteria. The applied criteria were selected from the literature, while for their weights, the experts' judgement was introduced by implementing the analytic hierarchy process (AHP), in the framework of the ATLANTIS research program. According to the results, seven regions were recognized as suitable, with a potential energy storage capacity from 1.09 to 5.16 GWh. Particularly, the present study's results reveal that 9.27% (212,884 m(2)) of the area had a very low suitability, 15.83% (363,599 m(2)) had a low suitability, 23.99% (550,998 m(2)) had a moderate suitability, 24.99% (573,813 m(2)) had a high suitability, and 25.92% (595,125 m(2)) had a very high suitability for the construction of the upper reservoir. The proposed semi-automatic geospatial workflow introduces an innovative tool that can be applied to open pit mines globally to identify the optimum design for an HPHS system depending on the existing lower reservoir.
Reactive eutectic media based on ammonium formate for the valorization of bio-sourced materials
(2023)
In the last several decades eutectic mixtures of different compositions were successfully used as solvents for vast amount of chemical processes, and only relatively recently they were discovered to be widely spread in nature. As such they are discussed as a third liquid media of the living cell, that is composed of common cell metabolites. Such media may also incorporate water as a eutectic component in order to regulate properties such as enzyme activity or viscosity. Taking inspiration form such sophisticated use of eutectic mixtures, this thesis will explore the use of reactive eutectic media (REM) for organic synthesis. Such unconventional media are characterized by the reactivity of their components, which means that mixture may assume the role of the solvent as well as the reactant itself.
The thesis focuses on novel REM based on ammonium formate and investigates their potential for the valorization of bio-sourced materials. The use of REM allows the performance of a number of solvent-free reactions, which entails the benefits of a superior atom and energy economy, higher yields and faster rates compared to reactions in solution. This is evident for the Maillard reaction between ammonium formate and various monosaccharides for the synthesis of substituted pyrazines as well as for a Leuckart type reaction between ammonium formate and levulinic acid for the synthesis of 5-methyl-2-pyrrolidone. Furthermore, reaction of ammonium formate with citric acid for the synthesis of yet undiscovered fluorophores, shows that synthesis in REM can open up unexpected reaction pathways.
Another focus of the thesis is the study of water as a third component in the REM. As a result, the concept of two different dilution regimes (tertiary REM and in REM in solvent) appears useful for understanding the influence of water. It is shown that small amounts of water can be of great benefit for the reaction, by reducing viscosity and at the same time increasing reaction yields.
REM based on ammonium formate and organic acids are employed for lignocellulosic biomass treatment. The thesis thereby introduces an alternative approach towards lignocellulosic biomass fractionation that promises a considerable process intensification by the simultaneous generation of cellulose and lignin as well as the production of value-added chemicals from REM components. The thesis investigates the generated cellulose and the pathway to nanocellulose generation and also includes the structural analysis of extracted lignin.
Finally, the thesis investigates the potential of microwave heating to run chemical reactions in REM and describes the synergy between these two approaches. Microwave heating for chemical reactions and the use of eutectic mixtures as alternative reaction media are two research fields that are often described in the scope of green chemistry. The thesis will therefore also contain a closer inspection of this terminology and its greater goal of sustainability.
The EU and its member countries have been laggards in using forest carbon to reduce EU emissions. The European Green Deal aims to change this. As part of its long-term emissions reductions, the EU aims to offset this by creating land-based carbon sinks, especially forest carbon sinks as well as carbon capture and storage. This chapter focuses on the role of forest carbon as part of the EU's climate policies towards achieving net-zero greenhouse gas emissions by 2050. It furthermore examines the European Commission's proposed forest strategy and its proposal for a revised LULUCF Regulation. The chapter shows that the logic of appropriateness dominates the European Commission's forest policies. Finally, the chapter makes policy recommendations on how the EU could credibly use long-term carbon sinks to achieve climate neutrality.
Long-term environmental policy remains a vexing puzzle of environmental policy. Following its definition, the author reviews the methods suitable for the study of long-term environmental policy and develops a typology of policy instruments to cope with these challenges. The concluding section offers five central research challenges to advance the study of long-term environmental policy.
Although hate speech is widely recognized as an online phenomenon, very few studies have investigated hate speech among adolescents in offline settings (e.g., schools). At the same time, not much is known about countering hate speech (counterspeech) among adolescents and which factors are associated with it. To this end, the present study used the socio-ecological framework to investigate the direct and indirect links among one contextual factor (i.e., classroom climate) and two intrapersonal factors (i.e., empathy for victims of hate speech, self-efficacy regarding intervention in hate speech) to understand counterspeech among adolescents. The sample is based on self-reports of 3,225 students in Grades 7 to 9 (51.7% self-identified as female) from 36 schools in Germany and Switzerland. Self-report questionnaires were administered to measure classroom climate, empathy, self-efficacy, and counterspeech. After controlling for adolescents' grade, gender, immigrant background, and socioeconomic status (SES), the 2-(1-1)-1 multilevel mediation analysis showed that classroom climate (L2), empathy for victims of hate speech (L1), and self-efficacy toward intervention in hate speech (L1) had a positive effect on countering hate speech (L1). Classroom climate (L2) was also positively linked to empathy for victims of hate speech (L1), and self-efficacy toward intervention in hate speech (L1). Furthermore, classroom climate (L2) was indirectly associated with countering hate speech (L1) via greater empathy (L1) and self-efficacy (L1). The findings highlight the need to focus on contextual and intrapersonal factors when trying to facilitate adolescents' willingness to face hate speech with civic courage and proactively engage against it.