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Entgrenzung neoimperial: Studien zum russischen Nationalismus im 21. Jahrhundert
No full textPublikationsbasierte Dissertation zu Entgrenzungsphänomenen und -dynamiken eines neoimperialen Nationalismus in Russland zu Beginn des 21. Jahrhundert
Über das beabsichtigte Ausscheiden der Hüttenwerke aus dem Bergrecht durch das Allgemeine österreichische Berggesetz vom 23. Mai 1854.
No full textMit der Bergrechtsrevision in Österreich in der Mitte des 19. Jahrhunderts war zunächst beabsichtigt, das Hüttenwesen aus dem Bergrecht zu entfernen und dem allgemeinen Gewerberecht zuzuordnen. Hiergegen erhob sich heftiger Widerstand der Berg- und Hüttenwerksbesitzer. Die Abhandlung stellt den Verlauf bis zum Erlass des Berggesetzes dar
Mediatisierte Privatheit in der Corona-Pandemie
No full textPetra Grimm geht der Frage nach, inwiefern die Corona-Pandemie die Bedeutung von Privatheit in der Alltagswelt verändert hat. Hierzu leitet sie eingangs neue gesellschaftliche Narrative zur Privatheit unter Pandemie-Bedingungen aus dem gesellschaftlichen Diskurs ab. Hieran anknüpfend untersucht sie Privatheitsmodelle anhand fiktionaler Medientexte, die während des Lockdowns im Frühjahr 2020 entstanden sind (u.a. die Drama-Serie Liebe jetzt! und die Comedy-Serie Drinnen. Im Internet sind alle gleich). Dabei zeigt sie, inwiefern die Beschränkung auf den privaten Raum als Identitäts- oder Beziehungskrise verhandelt wird und macht auch Gendereffekte sichtbar, insofern die Krise je nach Geschlecht der Protagonist:innen unterschiedlich erzählt wird
Datenschutz und Mediensystem – Altersverifikation und Uploadfilter aus intradisziplinärer Perspektive
No full textTobias Keber legt dar, warum Datenschutz und Jugendmedienschutz gemeinsam gedacht werden müssen. Am Beispiel von entwicklungsbeeinträchtigenden Inhalten bei TikTok zeigt er Konfliktlinien zwischen dem Datenschutzrecht und den Medien und Informationsfreiheiten auf und macht deutlich, dass für eine angemessene Symmetrie sowohl ein Ausgleichswerkzeug als auch ein fachgebietsübergreifender Austausch notwendig sind
The influence of religious motivations on young people`s civic engagement
No full textWith respect to religious motivations for political participation and civic engagement, scholars have set their focus on social capital and the recruiting potential for volunteers inside religious communities. Less attention has been paid to individual religious impulses, but also to reasons for which people step out from deliberative processes, especially in regard to the Eastern European Orthodox cultural context. We are approaching this under-explored research field in this dissertation, with focus on the Romanian city of Timișoara, and look at three particular aspects: the influence of religious perceptions on political protests (analysis of the 1989 revolution), the manner in which religion motivates young people to volunteer (view on a local community project) and factors determining people to retreat from public engagement (analysis of citizens` local committees). The research methods are qualitative - interviews, group discussions and analytical interpretation. Results show that non- or less religious young people are encouraged to protest by an indefinable supernatural force and motivated by moral interests (need for dignity and a fair treatment / procedural justice), more than material ones (distributive justice). When engaging in the community, the impulse partially comes from an intrinsic spirituality and a privatized experience with the divine. Giving up civic engagement has nothing to do with remuneration, but with the need for freedom of expression and moral appreciation
The hazardous materials vehicle routing problem
No full textHazardous materials (hazmat) have become important goods for satisfying the industrial and customer demand in our modern society. The transportation of these materials is always associated with safety, security and environmental concerns due to the dangerous nature of the cargo. To improve the safety of the transportation process hazmat transportation problems have become a popular research topic in the field of operations research. This thesis contributes to the ongoing research on the hazmat transportation problem. It provides an extensive overview of the existing literature on the hazardous materials transportation problem and offers a new classification extending the existing ones. With particular focus on the hazardous materials vehicle routing problem (HMVRP), this thesis compares different risk models and analyses their influence on the problem outcomes. Additionally, heuristic and meta-heuristic solution procedures are proposed for handling the NP-hard nature of the problem.
For this purpose, four different studies are conducted. Study 1 presents a state of the art literature review including over 300 contributions to the hazmat transportation problem. The historical development of the research field is analyzed and the most important journals are identified. A detailed classification focusing on hazmat transportation on public roads is provided. Furthermore, the study identifies research gaps and presents new research opportunities. Study 2 and 3 investigate the effects of path generation in a realistic urban network on the outcomes of the HMVRP. Additionally, different risk models for the HMVRP are compared and their influence on the problem solutions is analyzed. Study 2 proposes a simple but effective heuristic algorithm to solve the HMVRP with load-independent risk models. Study 3 extends the focus and includes load-dependent risk models. The influence of six different risk models on the solution outcomes of the HMVRP is compared and the tradeoff between risk minimization and the minimization of traveled distance is investigated. For this purpose, more than 1,700 problem instances are solved to optimality using CPLEX. In study 4 a hybrid genetic algorithm (HGA) for solving the HMVRP with a load-depending risk model is proposed. The HGA aims to find pareto-optimal solutions for the bi-objective HMVRP when risk and travel distance are addressed simultaneously. The structure of the HGA is explained and experimental findings are presented.
In conclusion, this thesis contributes to an improved understanding of the general development in the research field of hazmat logistics and the influence of different risk models on the solution outcomes of the HMVRP. Additionally, heuristic solution methods are proposed and tested for finding compromise solutions when the bi-objective case of risk and distance minimization is addressed. Furthermore, this thesis helps new researchers the access to the field of hazmat logistics as it provides a structured overview of the research field while pointing out research gaps. To address some of the identified research gaps, the thesis provides an extensive analysis of the risk modelling approaches. Thereby, it provides new insights to the basic research on risk modelling for the HMVRP. Finally, to overcome the long computation times of large problem instances heuristic solution approaches are proposed
Handelsgerichtsbarkeit - Zur Entstehung des Fachrichtertums zwischen Laienexpertise, Verfahrensförmlichkeit und staatlichem Verfahrensmonopol und ihr Einfluss auf die moderne KfH
No full textDie deutsche Handelsgerichtsbarkeit zeichnet sich bis heute durch die Mitwirkung sachkundiger Laienrichter aus. Die Arbeit zeigt zunächst ausführlich die historischen Wurzeln und die Entwicklung der Handelsrichter in Italien, in Frankreich und in den deutschen Rechtskreisen. Dabei wird insbesondere auf die Entstehungsgeschichte des sog. deutschen Systems eingegangen. Im Anschluss analysiert der Verfasser die Wesensmerkmale der modernen KfH. In einem dritten Schritt werden die historischen Erkenntnisse als Lösungsansätze für aktuelle Reformbemühungen um die Zukunft der KfH nutzbar gemacht
Four investigations of arising phenomena in contemporary work settings: the cases of mindfulness practices and crowdworking online platforms
No full textNew arising phenomena in the occupational realm strongly shape contemporary work settings. These developments heavily affect how individuals work within and beyond organizational boundaries. Two phenomena associated with the changing nature of work have been especially prevalent in work settings and intensively discussed in public debates. First, organizations started to introduce mindfulness practices to their workforce. Rooted in spirituality and formerly used in clinical therapy, mindfulness is applied as a human resource development practice to train employees and managers to cope with the increased work intensification. Second, digitization and the importance of individualization opened up the path for work settings beyond organizational boundaries on crowdworking online platforms. On these online platforms, workers process tasks independently and remotely. Research just started to address the implications and meaning of mindfulness practices in organizations and the rise of crowdworking platforms. Several questions remain unanswered. This dissertation addresses unanswered but pressing questions related to these two phenomena shaping contemporary work settings. Structured in four essays the first two essays address the application and meaning of mindfulness practices. The first essay analyzes the meaning and interpretations of these new practices within organizations. The second essay takes contextual factors of the organizational environment into account and investigates their relevance for the successful implementation of mindfulness practices. The second two essays are dedicated to work attitudes and behavior on crowdworking online platform. Essay three captures individuals’ motivation for working on such platforms and their effects for workers’ work performance. The last essay deals with the role of professional crowdworking online communities in the work experience and asses the effects of social support in these communities on occupational identification, work meaningfulness and finally on work engagement. Each essay in this dissertation generates new insights on arising phenomena in contemporary work settings. They address several timely yet unanswered research questions for these rising phenomena and thereby offer a deeper and more nuanced understanding of the role mindfulness practices and crowdworking online platforms play in the context of the future of work
Begleitende wissenschaftliche Evaluation des Teilprojekts "Rettung der Flussperlmuschel in Niederbayern"
No full textGraph Representation Learning for Social Networks
No full textOnline social networks provide a rich source of information about millions of users worldwide. However, due to sparsity and complex structure, analyzing these networks is quite challenging and expensive. Recently, graph embedding emerged to map networked data into low-dimensional representations, i.e. vector embeddings. These representations are fed into off-the-shelf machine learning algorithms to simplify and speed up graph analytic tasks. Given the immense importance of social network analysis, in this thesis, we aim to study graph embedding for social networks in three directions.
Firstly, we focus on social networks at microscopic level to primarily encode the structural characteristic of users' personal networks so-called ego networks. These representations are utilized in evaluation tasks whose performance depends on relational information from direct neighbors. For example, social circle prediction and event attendance inference both need structural information from neighbors in social networks.
Secondly, we explore assessing the content of vector embeddings in terms of topological properties. This could be explained via two proposed approaches: 1) a learning to rank algorithm in which the model weights reveal the importance of properties at subgraph level (ego networks), 2) a regression model for direct approximation of network statistical properties at vertex level.
Thirdly, we propose extensions of graph embedding to capture sign or additional content of social networks. Users in social media often express their feelings and attitudes towards others which forms sentiment links besides social links. We design a joint objective function whose terms capture semantics of both social and sentiment links simultaneously. We also propose a multi-task learning framework for networks with attributes and labels by stacking autoencoders. The weights of the learning tasks are automatically assigned via an adaptive loss weighting layer