Refine
Has Fulltext
- yes (2561) (remove)
Year of publication
Document Type
- Doctoral Thesis (2561) (remove)
Language
Keywords
- climate change (54)
- Klimawandel (52)
- Modellierung (34)
- Nanopartikel (28)
- machine learning (22)
- Fernerkundung (20)
- Synchronisation (19)
- remote sensing (18)
- Spracherwerb (17)
- Blickbewegungen (16)
Institute
- Institut für Physik und Astronomie (411)
- Institut für Biochemie und Biologie (391)
- Institut für Geowissenschaften (330)
- Institut für Chemie (304)
- Extern (153)
- Institut für Umweltwissenschaften und Geographie (125)
- Institut für Ernährungswissenschaft (102)
- Wirtschaftswissenschaften (97)
- Hasso-Plattner-Institut für Digital Engineering GmbH (93)
- Department Psychologie (89)
Lamprophyre sind porphyrische, aus Mantelschmelzen gebildete Gesteine, die meist in Form von Gängen auftreten. Sie zeichnen sich durch auffällige und charakteristische texturelle, chemische und mineralogische Eigenschaften aus. Als ehemalige Mantelschmelzen liefern sie Information sowohl über Bedingungen der Schmelzbildung im Mantel als auch über geodynamische Prozesse, die zu metasomatischer Veränderung des Mantels geführt haben. Im Saxothuringikum Mitteleuropas, am Nordrand des Böhmischen Massivs, gibt es zahlreiche Lamprophyrvorkommen, die hier zur Charakterisierung der Mantelentwicklung während der variszischen Orogenese dienen. Die vorliegende Arbeit befaßt sich mit den mineralogischen, geochemischen und isotopischen (Sr-Nd-Pb) Signaturen von spätvariszischen kalkalkalischen Lamprophyren, von postvariszischen ultramafischen Lamprophyren, von Alkalibasalten der Lausitz und, zum Vergleich, von prävariszischen Gabbros. Darüberhinaus nutzt die Arbeit Lithium-Isotopensignaturen kombiniert mit Sr-Nd-Pb–Isotopendaten spätvariszischer kalkalkalischer Lamprophyre aus drei variszischen Domänen (Erzgebirge, Lausitz, Sudeten) zur Erkundung der lokalen Mantelüberprägungen während der variszischen Orogenese.
A central insight from psychological studies on human eye movements is that eye movement patterns are highly individually characteristic. They can, therefore, be used as a biometric feature, that is, subjects can be identified based on their eye movements. This thesis introduces new machine learning methods to identify subjects based on their eye movements while viewing arbitrary content. The thesis focuses on probabilistic modeling of the problem, which has yielded the best results in the most recent literature. The thesis studies the problem in three phases by proposing a purely probabilistic, probabilistic deep learning, and probabilistic deep metric learning approach. In the first phase, the thesis studies models that rely on psychological concepts about eye movements. Recent literature illustrates that individual-specific distributions of gaze patterns can be used to accurately identify individuals. In these studies, models were based on a simple parametric family of distributions. Such simple parametric models can be robustly estimated from sparse data, but have limited flexibility to capture the differences between individuals. Therefore, this thesis proposes a semiparametric model of gaze patterns that is flexible yet robust for individual identification. These patterns can be understood as domain knowledge derived from psychological literature. Fixations and saccades are examples of simple gaze patterns. The proposed semiparametric densities are drawn under a Gaussian process prior centered at a simple parametric distribution. Thus, the model will stay close to the parametric class of densities if little data is available, but it can also deviate from this class if enough data is available, increasing the flexibility of the model. The proposed method is evaluated on a large-scale dataset, showing significant improvements over the state-of-the-art. Later, the thesis replaces the model based on gaze patterns derived from psychological concepts with a deep neural network that can learn more informative and complex patterns from raw eye movement data. As previous work has shown that the distribution of these patterns across a sequence is informative, a novel statistical aggregation layer called the quantile layer is introduced. It explicitly fits the distribution of deep patterns learned directly from the raw eye movement data. The proposed deep learning approach is end-to-end learnable, such that the deep model learns to extract informative, short local patterns while the quantile layer learns to approximate the distributions of these patterns. Quantile layers are a generic approach that can converge to standard pooling layers or have a more detailed description of the features being pooled, depending on the problem. The proposed model is evaluated in a large-scale study using the eye movements of subjects viewing arbitrary visual input. The model improves upon the standard pooling layers and other statistical aggregation layers proposed in the literature. It also improves upon the state-of-the-art eye movement biometrics by a wide margin. Finally, for the model to identify any subject — not just the set of subjects it is trained on — a metric learning approach is developed. Metric learning learns a distance function over instances. The metric learning model maps the instances into a metric space, where sequences of the same individual are close, and sequences of different individuals are further apart. This thesis introduces a deep metric learning approach with distributional embeddings. The approach represents sequences as a set of continuous distributions in a metric space; to achieve this, a new loss function based on Wasserstein distances is introduced. The proposed method is evaluated on multiple domains besides eye movement biometrics. This approach outperforms the state of the art in deep metric learning in several domains while also outperforming the state of the art in eye movement biometrics.
We establish elements of a new approach to ellipticity and parametrices within operator algebras on manifolds with higher singularities, only based on some general axiomatic requirements on parameter-dependent operators in suitable scales of spaes. The idea is to model an iterative process with new generations of parameter-dependent operator theories, together with new scales of spaces that satisfy analogous requirements as the original ones, now on a corresponding higher level. The "full" calculus involves two separate theories, one near the tip of the corner and another one at the conical exit to infinity. However, concerning the conical exit to infinity, we establish here a new concrete calculus of edge-degenerate operators which can be iterated to higher singularities.
Linked Open Data (LOD) comprises very many and often large public data sets and knowledge bases. Those datasets are mostly presented in the RDF triple structure of subject, predicate, and object, where each triple represents a statement or fact. Unfortunately, the heterogeneity of available open data requires significant integration steps before it can be used in applications. Meta information, such as ontological definitions and exact range definitions of predicates, are desirable and ideally provided by an ontology. However in the context of LOD, ontologies are often incomplete or simply not available. Thus, it is useful to automatically generate meta information, such as ontological dependencies, range definitions, and topical classifications. Association rule mining, which was originally applied for sales analysis on transactional databases, is a promising and novel technique to explore such data. We designed an adaptation of this technique for min-ing Rdf data and introduce the concept of “mining configurations”, which allows us to mine RDF data sets in various ways. Different configurations enable us to identify schema and value dependencies that in combination result in interesting use cases. To this end, we present rule-based approaches for auto-completion, data enrichment, ontology improvement, and query relaxation. Auto-completion remedies the problem of inconsistent ontology usage, providing an editing user with a sorted list of commonly used predicates. A combination of different configurations step extends this approach to create completely new facts for a knowledge base. We present two approaches for fact generation, a user-based approach where a user selects the entity to be amended with new facts and a data-driven approach where an algorithm discovers entities that have to be amended with missing facts. As knowledge bases constantly grow and evolve, another approach to improve the usage of RDF data is to improve existing ontologies. Here, we present an association rule based approach to reconcile ontology and data. Interlacing different mining configurations, we infer an algorithm to discover synonymously used predicates. Those predicates can be used to expand query results and to support users during query formulation. We provide a wide range of experiments on real world datasets for each use case. The experiments and evaluations show the added value of association rule mining for the integration and usability of RDF data and confirm the appropriateness of our mining configuration methodology.
Die vorliegende Arbeit trägt den Titel: Intellektuellen-Rolle in Günter Grass Werken : „Die Plebejer proben den Aufstand“(1966), „Örtlich betäubt“(1969), „Aus dem Tagebuch einer Schnecke“(1972), und „Ein weites Feld“(1995).
Das erste Kapitel befasst sich insgesamt mit drei Haupttiteln
II. Der Intellektuelle
II.1 Das allgemeine Umfeld
In diesem Teil der Dissertation sollen Aussagen getroffen werden, die auf folgende und weitere Fragen eine Antwort geben: Was ist ein Intellektueller? Wie kam der Begriff zustande? Gibt es Unterschiede zwischen den Intellektuellen und wie werden sie eingeteilt?
II.2 Das deutsche Umfeld
Die Behandlung des Nazisystems und dessen historische Hintergründe vermittelt bedeutsame Lehren. Aber wozu braucht man diese Lehren? Gibt es Spuren von Nationalsozialismus heutzutage? Wo waren die Intellektuellen bei der Bildung des Nationalsozialismus? Ist der Nationalsozialismus erst mit Hitler aufgetaucht? Wenn zuvor, in welcher Phase hat er sich im Bewusstsein der Deutschen verankert? Ob theoretische bzw. geistige Tendenzen dazu beigetragen haben?
II.3 Das Bild von Grass als Intellektueller
II.3.1 Positionierung
Eine Hauptthese für Grass intellektuelle Positionierung wird durch die Verbindung zwischen Grass’ Grundkonzeption der gesellschaftspolitischen Intellektualität und der Gruppe 47 ermittelt. Dann bezweckt die Behandlung von Grass Bild nach Erscheinen seines autobiographischen Werks: „Beim Häuten der Zwiebel“ (2006), dass seine Intellektualität nicht nur aus dem positiven, sondern auch aus dem negativen Profil beleuchtet wird.
Aus der Darstellung zahlreicher Ansichten von Günter Grass werden fünf thematische Kernpunkte als Konzepte behandelt. Unter jedem Konzept sollen spezifische Vorschläge zur gesellschaftlichen Positionierung aufgezeigt werden.
II.3.2 Grass’ politische Merkmale
Es handelt sich hier um die intellektuellen Charaktereigenschaften. Dadurch kommen manche Fragen zu Wort: Hat Günter Grass gesellschaftliche Aktivitäten? Hat er die Voraussetzungen dafür? Wie ist der Umfang seiner Aktivitäten? Hat die Gruppe 47 Einfluss auf Grass intellektuelle Merkmale? Steht bei Grass eine Methode der gesellschaftspolitischen Arbeit zur Verfügung?
Dann wird die politische Sprache von Günter Grass und ihre Wirkung auf den Rezipienten untersucht. Danach wird nach Grass’ Auffassung von der Revision gefragt und ob sie mit seiner Auffassung der Aufklärung zusammenpasst. Darauf wird die Funktion der Revision in seinem literarischen Werk und in seiner gesellschaftspolitischen Aktivität gezeigt.
Abschließend werden die Argumente seiner Intellektualität untersucht:
Wie hat Grass’ gesellschaftspolitische Aktivität den konkreten politischen Rahmen berücksichtigt? Um diese Frage zu beantworten, muss der Zusammenhang zwischen Politik und Moral verdeutlicht werden.
III. Historischer Kontext und Inhalt der Werke
Unter diesem Titel wird erstens der historische Zusammenhang der untersuchten Werke skizziert. Dann werden meistens durch Argumente aus jedem Werk selbst nicht nur der Kern des Werkes und sein Handlungsverlauf, sondern auch die dafür angewandte Methode dargestellt.
IV. Bezug der untersuchten Werke zu konkreten gesellschaftspolitischen Fragen
IV.1 Interaktionswege des Intellektuellen mit der Gesellschaft, vor allem beim Wandel gesellschaftspolitischer Prozesse
Zentralkonzepte des ersten Werkes sind: Vermittlung, Engagement, Solidarität und die Aktualität als Maßstab. Diese werden durch zwei Konzepte des zweiten Werkes: Appell an Generationen beim Wechsel und Zusammenhaltsprinzip an Revision gebunden, sowie durch die Behandlung vom Prozess der Meinungsbildung im vierten Werk ausgearbeitet.
IV.2 Thematische Aspekte zur Vermeidung eines Naziregimes
Aus den thematischen Perspektiven der drei letzten Werke geht eine bunte Sammlung intellektueller Konzepte aus, die zur Bekämpfung von Nazivorsprünge verwendet werden können.
V. Pädagogische Strategien der untersuchten Werke
Die pädagogischen Aspekte der untersuchten Werke sollen intellektuelle Werte vermitteln, die einen bedeutenden Beitrag zur Lösung gesellschaftspolitischer Probleme und Konflikte leisten.
VI. Entwicklung der literarischen und gesellschaftspolitischen Vision
Hier wird die Entwicklungslinie der gesellschaftspolitischen Vision in den untersuchten Werken verfolgt.
VII. Zur Rezeption der vier Werke
Durch die Auseinandersetzung mit der negativen Kritik wird angestrebt, ihre Subjektivität darzulegen, damit der gesellschaftspolitische Wert der vier Werke enthüllt wird.
Health effects, attributed to the environmental pollution resulted from using solvents such as benzene, are relatively unexplored among petroleum workers, personal use, and laboratory researchers. Solvents can cause various health problems, such as neurotoxicity, immunotoxicity, and carcinogenicity. As such it can be absorbed via epidermal or respiratory into the human body resulting in interacting with molecules that are responsible for biochemical and physiological processes of the brain.
Owing to the ever-growing demand for finding a solution, an Ionic liquid can use as an alternative solvent. Ionic liquids are salts in a liquid state at low temperature (below 100 C), or even at room temperature. Ionic liquids impart a unique architectural platform, which has been interesting because of their unusual properties that can be tuned by simple ways such as mixing two ionic liquids.
Ionic liquids not only used as reaction solvents but they became a key developing for novel applications based on their thermal stability, electric conductivity with very low vapor pressure in contrast to the conventional solvents.
In this study, ionic liquids were used as a solvent and reactant at the same time for the novel nanomaterials synthesis for different applications including solar cells, gas sensors, and water splitting.
The field of ionic liquids continues to grow, and become one of the most important branches of science. It appears to be at a point where research and industry can work together in a new way of thinking for green chemistry and sustainable production.
Digital inclusion
(2021)
In this thesis, we tackle two social disruptions: recent refugee waves in Germany and the COVID-19 pandemic. We focus on the use of information and communication technology (ICT) as a key means of alleviating these disruptions and promoting social inclusion. As social disruptions typically lead to frustration and fragmentation, it is essential to ensure the social inclusion of individuals and societies during such times.
In the context of the social inclusion of refugees, we focus on the Syrian refugees who arrived in Germany as of 2015, as they form a large and coherent refugee community. In particular, we address the role of ICTs in refugees’ social inclusion and investigate how different ICTs (especially smartphones and social networks) can foster refugees’ integration and social inclusion. In the context of the COVID-19 pandemic, we focus on the widespread unconventional working model of work from home (WFH). Our research here centers on the main constructs of WFH and the key differences in WFH experiences based on personal characteristics such as gender and parental status.
We reveal novel insights through four well-established research methods: literature review, mixed methods, qualitative method, and quantitative method. The results of our research have been published in the form of eight articles in major information systems venues and journals. Key results from the refugee research stream include the following: Smartphones represent a central component of refugee ICT use; refugees view ICT as a source of information and power; the social connectedness of refugees is strongly correlated with their Internet use; refugees are not relying solely on traditional methods to learn the German language or pursue further education; the ability to use smartphones anytime and anywhere gives refugees an empowering feeling of global connectedness; and ICTs empower refugees on three levels (community participation, sense of control, and self-efficacy).
Key insights from the COVID-19 WFH stream include: Gender and the presence of children under the age of 18 affect workers’ control over their time, technology usefulness, and WFH conflicts, while not affecting their WFH attitudes; and both personal and technology-related factors affect an individual’s attitude toward WFH and their productivity. Further insights are being gathered at the time of submitting this thesis.
This thesis contributes to the discussion within the information systems community regarding how to use different ICT solutions to promote the social inclusion of refugees in their new communities and foster an inclusive society. It also adds to the growing body of research on COVID-19, in particular on the sudden workplace transformation to WFH. The insights gathered in this thesis reveal theoretical implications and future opportunities for research in the field of information systems, practical implications for relevant stakeholders, and social implications related to the refugee crisis and the COVID-19 pandemic that must be addressed.
Die Digitalisierung ist ein wesentlicher Bestandteil aktueller Verwaltungsreformen. Trotz der hohen Bedeutung und langjähriger Bemühungen bleibt die Bilanz der Verwaltungsdigitalisierung in Deutschland ambivalent. Diese Studie konzentriert sich auf drei erfolgreiche Digitalisierungsvorhaben aus dem Onlinezugangsgesetz (OZG) und analysiert mittels problemzentrierter Expertenbefragung Einflussfaktoren auf die Umsetzung von OZG-Vorhaben und den Einfluss des Managements in diesem Prozess. Die Analyse erfolgt theoriegeleitet basierend auf dem Ansatz der begrenzten Rationalität und der ökonomischen Theorie der Bürokratie. Die Ergebnisse zeigen, dass anzunehmen ist, dass die identifizierten Einflussfaktoren unterschiedlich auf Nachnutzbarkeit und Reifegrad von Verwaltungsleistungen wirken und als Folgen begrenzter Rationalität im menschlichen Problemlösungsprozess interpretiert werden können. Managerinnen unterstützen die operativen Akteure bei der Umsetzung, indem sie deren begrenzte Rationalität mit geeigneten Strategien adressieren. Dazu können sie Ressourcen bereitstellen, mit ihrer Expertise unterstützen, Informationen zugänglich machen, Entscheidungswege verändern sowie zur Konfliktlösung beitragen. Die Studie bietet wertvolle Einblicke in die tatsächliche Managementpraxis und leitet daraus Empfehlungen für die Umsetzung öffentlicher Digitalisierungsvorhaben sowie für die Steuerung öffentlicher Verwaltungen ab. Diese Studie liefert einen wichtigen Beitrag zum Verständnis des Einflusses des Managements in der Verwaltungsdigitalisierung. Die Studie unterstreicht außerdem die Notwendigkeit weiterer Forschung in diesem Bereich, um die Praktiken und Herausforderungen der Verwaltungsdigitalisierung besser zu verstehen und effektiv zu adressieren.
The aim of this work was the generation of carbon materials with high surface area, exhibiting a hierarchical pore system in the macro- and mesorange. Such a pore system facilitates the transport through the material and enhances the interaction with the carbon matrix (macropores are pores with diameters > 50 nm, mesopores between 2 – 50 nm). Thereto, new strategies for the synthesis of novel carbon materials with designed porosity were developed that are in particular useful for the storage of energy. Besides the porosity, it is the graphene structure itself that determines the properties of a carbon material. Non-graphitic carbon materials usually exhibit a quite large degree of disorder with many defects in the graphene structure, and thus exhibit inherent microporosity (d < 2nm). These pores are traps and oppose reversible interaction with the carbon matrix. Furthermore they reduce the stability and conductivity of the carbon material, which was undesired for the proposed applications. As one part of this work, the graphene structures of different non-graphitic carbon materials were studied in detail using a novel wide-angle x-ray scattering model that allowed precise information about the nature of the carbon building units (graphene stacks). Different carbon precursors were evaluated regarding their potential use for the synthesis shown in this work, whereas mesophase pitch proved to be advantageous when a less disordered carbon microstructure is desired. By using mesophase pitch as carbon precursor, two templating strategies were developed using the nanocasting approach. The synthesized (monolithic) materials combined for the first time the advantages of a hierarchical interconnected pore system in the macro- and mesorange with the advantages of mesophase pitch as carbon precursor. In the first case, hierarchical macro- / mesoporous carbon monoliths were synthesized by replication of hard (silica) templates. Thus, a suitable synthesis procedure was developed that allowed the infiltration of the template with the hardly soluble carbon precursor. In the second case, hierarchical macro- / mesoporous carbon materials were synthesized by a novel soft-templating technique, taking advantage of the phase separation (spinodal decomposition) between mesophase pitch and polystyrene. The synthesis also allowed the generation of monolithic samples and incorporation of functional nanoparticles into the material. The synthesized materials showed excellent properties as an anode material in lithium batteries and support material for supercapacitors.
It is a well-attested finding in head-initial languages that individuals with aphasia (IWA) have greater difficulties in comprehending object-extracted relative clauses (ORCs) as compared to subject-extracted relative clauses (SRCs). Adopting the linguistically based approach of Relativized Minimality (RM; Rizzi, 1990, 2004), the subject-object asymmetry is attributed to the occurrence of a Minimality effect in ORCs due to reduced processing capacities in IWA (Garraffa & Grillo, 2008; Grillo, 2008, 2009). For ORCs, it is claimed that the embedded subject intervenes in the syntactic dependency between the moved object and its trace, resulting in greater processing demands. In contrast, no such intervener is present in SRCs. Based on the theoretical framework of RM and findings from language acquisition (Belletti et al., 2012; Friedmann et al., 2009), it is assumed that Minimality effects are alleviated when the moved object and the intervening subject differ in terms of relevant syntactic features. For German, the language under investigation, the RM approach predicts that number (i.e., singular vs. plural) and the lexical restriction [+NP] feature (i.e., lexically restricted determiner phrases vs. lexically unrestricted pronouns) are considered relevant in the computation of Minimality. Greater degrees of featural distinctiveness are predicted to result in more facilitated processing of ORCs, because IWA can more easily distinguish between the moved object and the intervener.
This cumulative dissertation aims to provide empirical evidence on the validity of the RM approach in accounting for comprehension patterns during relative clause (RC) processing in German-speaking IWA. For that purpose, I conducted two studies including visual-world eye-tracking experiments embedded within an auditory referent-identification task to study the offline and online processing of German RCs. More specifically, target sentences were created to evaluate (a) whether IWA demonstrate a subject-object asymmetry, (b) whether dissimilarity in the number and/or the [+NP] features facilitates ORC processing, and (c) whether sentence processing in IWA benefits from greater degrees of featural distinctiveness. Furthermore, by comparing RCs disambiguated through case marking (at the relative pronoun or the following noun phrase) and number marking (inflection of the sentence-final verb), it was possible to consider the role of the relative position of the disambiguation point. The RM approach predicts that dissimilarity in case should not affect the occurrence of Minimality effects. However, the case cue to sentence interpretation appears earlier within RCs than the number cue, which may result in lower processing costs in case-disambiguated RCs compared to number-disambiguated RCs.
In study I, target sentences varied with respect to word order (SRC vs. ORC) and dissimilarity in the [+NP] feature (lexically restricted determiner phrase vs. pronouns as embedded element). Moreover, by comparing the impact of these manipulations in case- and number-disambiguated RCs, the effect of dissimilarity in the number feature was explored. IWA demonstrated a subject-object asymmetry, indicating the occurrence of a Minimality effect in ORCs. However, dissimilarity neither in the number feature nor in the [+NP] feature alone facilitated ORC processing. Instead, only ORCs involving distinct specifications of both the number and the [+NP] features were well comprehended by IWA. In study II, only temporarily ambiguous ORCs disambiguated through case or number marking were investigated, while controlling for varying points of disambiguation. There was a slight processing advantage of case marking as cue to sentence interpretation as compared to number marking.
Taken together, these findings suggest that the RM approach can only partially capture empirical data from German IWA. In processing complex syntactic structures, IWA are susceptible to the occurrence of the intervening subject in ORCs. The new findings reported in the thesis show that structural dissimilarity can modulate sentence comprehension in aphasia. Interestingly, IWA can override Minimality effects in ORCs and derive correct sentence meaning if the featural specifications of the constituents are maximally different, because they can more easily distinguish the moved object and the intervening subject given their reduced processing capacities. This dissertation presents new scientific knowledge that highlights how the syntactic theory of RM helps to uncover selective effects of morpho-syntactic features on sentence comprehension in aphasia, emphasizing the close link between assumptions from theoretical syntax and empirical research.