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Pädagog*innen der Primarstufe nehmen an spezifischen bewegungsorientierten Weiterbildungen teil. Zahlreiche Untersuchungen im Kontext von Fort- und Weiterbildungen stellen dar, unter welchen Bedingungen sich Teilnahmen förderlich oder hinderlich auswirken. In didaktisch-konzeptionellen Überlegungen werden häufig Fragen diskutiert, wie äußere Umstände, etwa in Bezug auf zeitliche, räumliche oder inhaltliche Dimensionen, zu gestalten sind, damit Bildungsangebote im Schulsystem bestimmte Wirkungen erzielen. Unter welchen Bedingungen erfolgt sozusagen günstiger Weise eine Vermittlung von spezifischen Inhalten an Lehrer*innen, damit über diese ein Transfereffekt von (system-)relevantem Wissen in das Schulsystem erfolgen kann?
In dieser Forschungsarbeit soll nicht ein Bedingungsdiskurs im Vordergrund stehen, auf dessen Grundlage wirkungsvolle Vermittlungsstrategien für Bildungsangebote diskutiert werden. Im Zentrum steht die Frage nach je eigenen Teilnahme- und Lernbegründungen von Pädagog*innen, und wie sie sich zu ihrer Weiterbildung ins Verhältnis setzen. Dieser Zugang verändert die Perspektive auf die Thematik und erlaubt die Auseinandersetzung mit Subjekten im Rahmen eines Begründungsdiskurses. Im Zuge einer empirisch-qualitativen Studie werden narrative Interviews mit elf Absolvent*innen einer bewegungsorientierten Weiterbildung geführt, die Auswertung der Daten erfolgt mit der Dokumentarischen Methode. Die Rekonstruktionsergebnisse werden in Form von zwei Fallbeschreibungen und durch vier typische, in der Studie entwickelte, Begründungsfiguren dargestellt: die Figur Lernen, die Figur Wissensmanagement, die Figur Neugierige Suche und die Figur Körperliche Aktivität. Neben der Rekonstruktion von Teilnahme- und Lernbegründungsmustern wird deutlich, dass Teilnehmen und Lernen keine unterschiedlichen Zugangslogiken in Bezug auf Bedeutungs-Begründungs-Zusammenhänge verfolgen. Vielmehr sind sowohl expansive als auch defensive Lernbegründungen im Zuge von Teilnahmebegründungen identifizierbar.
X-rays are integral to furthering our knowledge of exoplanetary systems. In this work we discuss the use of X-ray observations to understand star-planet interac- tions, mass-loss rates of an exoplanet’s atmosphere and the study of an exoplanet’s atmospheric components using future X-ray spectroscopy.
The low-mass star GJ 1151 was reported to display variable low-frequency radio emission, which is an indication of coronal star-planet interactions with an unseen exoplanet. In chapter 5 we report the first X-ray detection of GJ 1151’s corona based on XMM-Newton data. Averaged over the observation, we detect the star with a low coronal temperature of 1.6 MK and an X-ray luminosity of LX = 5.5 × 1026 erg/s. This is compatible with the coronal assumptions for a sub-Alfvénic star- planet interaction origin of the observed radio signals from this star.
In chapter 6, we aim to characterise the high-energy environment of known ex- oplanets and estimate their mass-loss rates. This work is based on the soft X-ray instrument on board the Spectrum Roentgen Gamma (SRG) mission, eROSITA, along with archival data from ROSAT, XMM-Newton, and Chandra. We use these four X-ray source catalogues to derive X-ray luminosities of exoplanet host stars in the 0.2-2 keV energy band. A catalogue of the mass-loss rates of 287 exoplan- ets is presented, with 96 of these planets characterised for the first time using new eROSITA detections. Of these first time detections, 14 are of transiting exoplanets that undergo irradiation from their host stars that is of a level known to cause ob- servable evaporation signals in other systems, making them suitable for follow-up observations.
In the next generation of space observatories, X-ray transmission spectroscopy of an exoplanet’s atmosphere will be possible, allowing for a detailed look into the atmospheric composition of these planets. In chapter 7, we model sample spectra using a toy model of an exoplanetary atmosphere to predict what exoplanet transit observations with future X-ray missions such as Athena will look like. We then estimate the observable X-ray transmission spectrum for a typical Hot Jupiter-type exoplanet, giving us insights into the advances in X-ray observations of exoplanets in the decades to come.
Writing travel, writing life
(2022)
The book compares the texts of three Swiss authors: Ella Maillart, Annemarie Schwarzenbach and Nicolas Bouvier. The focus is on their trip from Genève to Kabul that Ella Maillart and Annemarie Schwarzenbach made together in 1939/1940 and Nicolas Bouvier 1953/1954 with the artist Thierry Vernet. The comparison shows the strong connection between the journey and life and between ars vivendi and travel literature.
This book also gives an overview of and organises the numerous terms, genres, and categories that already exist to describe various travel texts and proposes the new term travelling narration. The travelling narration looks at the text from a narratological perspective that distinguishes the author, narrator, and protagonist within the narration.
In the examination, ten motifs could be found to characterise the travelling narration: Culture, Crossing Borders, Freedom, Time and Space, the Aesthetics of Landscapes, Writing and Reading, the Self and/as the Other, Home, Religion and Spirituality as well as the Journey. The importance of each individual motif does not only apply in the 1930s or 1950s but also transmits important findings for living together today and in the future.
Among the multitude of geomorphological processes, aeolian shaping processes are of special character, Pedogenic dust is one of the most important sources of atmospheric aerosols and therefore regarded as a key player for atmospheric processes. Soil dust emissions, being complex in composition and properties, influence atmospheric processes and air quality and has impacts on other ecosystems. In this because even though their immediate impact can be considered low (exceptions exist), their constant and large-scale force makes them a powerful player in the earth system. dissertation, we unravel a novel scientific understanding of this complex system based on a holistic dataset acquired during a series of field experiments on arable land in La Pampa, Argentina. The field experiments as well as the generated data provide information about topography, various soil parameters, the atmospheric dynamics in the very lower atmosphere (4m height) as well as measurements regarding aeolian particle movement across a wide range of particle size classes between 0.2μm up to the coarse sand.
The investigations focus on three topics: (a) the effects of low-scale landscape structures on aeolian transport processes of the coarse particle fraction, (b) the horizontal and vertical fluxes of the very fine particles and (c) the impact of wind gusts on particle emissions.
Among other considerations presented in this thesis, it could in particular be shown, that even though the small-scale topology does have a clear impact on erosion and deposition patterns, also physical soil parameters need to be taken into account for a robust statistical modelling of the latter. Furthermore, specifically the vertical fluxes of particulate matter have different characteristics for the particle size classes. Finally, a novel statistical measure was introduced to quantify the impact of wind gusts on the particle uptake and its application on the provided data set. The aforementioned measure shows significantly increased particle concentrations during points in time defined as gust event.
With its holistic approach, this thesis further contributes to the fundamental understanding of how atmosphere and pedosphere are intertwined and affect each other.
Knowledge-intensive business processes are flexible and data-driven. Therefore, traditional process modeling languages do not meet their requirements: These languages focus on highly structured processes in which data plays a minor role. As a result, process-oriented information systems fail to assist knowledge workers on executing their processes. We propose a novel case management approach that combines flexible activity-centric processes with data models, and we provide a joint semantics using colored Petri nets. The approach is suited to model, verify, and enact knowledge-intensive processes and can aid the development of information systems that support knowledge work.
Knowledge-intensive processes are human-centered, multi-variant, and data-driven. Typical domains include healthcare, insurances, and law. The processes cannot be fully modeled, since the underlying knowledge is too vast and changes too quickly. Thus, models for knowledge-intensive processes are necessarily underspecified. In fact, a case emerges gradually as knowledge workers make informed decisions. Knowledge work imposes special requirements on modeling and managing respective processes. They include flexibility during design and execution, ad-hoc adaption to unforeseen situations, and the integration of behavior and data. However, the predominantly used process modeling languages (e.g., BPMN) are unsuited for this task.
Therefore, novel modeling languages have been proposed. Many of them focus on activities' data requirements and declarative constraints rather than imperative control flow. Fragment-Based Case Management, for example, combines activity-centric imperative process fragments with declarative data requirements. At runtime, fragments can be combined dynamically, and new ones can be added. Yet, no integrated semantics for flexible activity-centric process models and data models exists.
In this thesis, Wickr, a novel case modeling approach extending fragment-based Case Management, is presented. It supports batch processing of data, sharing data among cases, and a full-fledged data model with associations and multiplicity constraints. We develop a translational semantics for Wickr targeting (colored) Petri nets. The semantics assert that a case adheres to the constraints in both the process fragments and the data models. Among other things, multiplicity constraints must not be violated. Furthermore, the semantics are extended to multiple cases that operate on shared data. Wickr shows that the data structure may reflect process behavior and vice versa. Based on its semantics, prototypes for executing and verifying case models showcase the feasibility of Wickr. Its applicability to knowledge-intensive and to data-centric processes is evaluated using well-known requirements from related work.
This study explores the identity of the Bene Israel caste from India and its assimilation into Israeli society. The large immigration from India to Israel started in the early 1950s and continued until the early 1970s. Initially, these immigrants struggled hard as they faced many problems such as the language barrier, cultural differences, a new climate, geographical isolation, and racial discrimination. This analysis focuses on the three major aspects of the integration process involving the Bene Israel: economic, socio-cultural and political. The study covers the period from the early fifties to the present.
I will focus on the origin of the Bene Israel, which has evolved after their immigration to Israel; from a Hindu–Muslim lifestyle and customs they integrated into the Jewish life of Israel. Despite its ethnographic nature, this study has theological implications as it is an encounter between Jewish monotheism and Indian polytheism.
All the western scholars who researched the Bene Israel community felt impelled to rely on information received by community members themselves. No written historical evidence recorded Bene Israel culture and origin. Only during the nineteenth century onwards, after the intrusion of western Jewish missionaries, were Jewish books translated into Marathi . Missionary activities among the Bene Israel served as a catalyst for the Bene Israel themselves to investigate their historical past . Haeem Samuel Kehimkar (1830-1908), a Bene Israel teacher, wrote notes on the history of the Bene Israel in India in Marathi in 1897. Brenda Ness wrote in her dissertation:
The results [of the missionary activities] are several works about the community in English and Marathi by Bene-Israel authors which have appeared during the last century. These are, for the most part, not documented; they consist of much theorizing on accepted tradition and tend to be apologetic in nature.
There can be no philosophical explanation or rational justification for an entire community to leave their motherland India, and enter into a process of annihilation of its own free will. I see this as a social and cultural suicide. In craving for a better future in Israel, the Indian Bene Israel community pays an enormously heavy price as a people that are today discarded by the East and disowned by the West: because they chose to become something that they never were and never could be. As it is written, “know where you came from, and where you are going.” A community with an ancient history from a spiritual culture has completely lost its identity and self-esteem.
In concluding this dissertation, I realize the dilemma with which I have confronted the members of the Bene Israel community which I have reviewed after strenuous and constant self-examination. I chose to evolve the diversifications of the younger generations urges towards acceptance, and wish to clarify my intricate analysis of this controversial community. The complexity of living in a Jewish State, where citizens cannot fulfill their basic desires, like matrimony, forced an entire community to conceal their true identity and perjure themselves to blend in, for the sake of national integration. Although scholars accepted their new claims, the skepticism of the rabbinate authorities prevails, and they refuse to marry them to this day, suspecting they are an Indian caste.
Countries processing raw coffee beans are burdened with low economical incomes to fight the serious environmental problems caused by the by-products and wastewater that is generated during the wet-coffee processing. The aim of this work was to develop alternative methods of improving the waste by-product quality and thus making the process economically more attractive with valorization options that can be brought to the coffee producers.
The type of processing influences not only the constitution of green coffee but also of by-products and wastewater. Therefore, coffee bean samples as well as by-products and wastewater collected at different production steps of were analyzed. Results show that the composition of wastewater is dependent on how much and how often the wastewater is recycled in the processing. Considering the coffee beans, results indicate that the proteins might be affected during processing and a positive effect of the fermentation on the solubility and accessibility of proteins seems to be probable. The steps of coffee processing influence the different constituents of green coffee beans which, during roasting, give rise to aroma compounds and express the characteristics of roasted coffee beans. Knowing that this group of compounds is involved in the Maillard reaction during roasting, this possibility could be utilized for the coffee producers to improve the quality of green coffee beans and finally the coffee cup quality.
The valorization of coffee wastes through modification to activated carbon has been considered as a low-cost option creating an adsorbent with prospective to compete with commercial carbons. Activation protocol using spent coffee and parchment was developed and prepared to assess their adsorption capacity for organic compounds. Spent coffee grounds and parchment proved to have similar adsorption efficiency to commercial activated carbon.
The results of this study document a significant information originating from the processing of the de-pulped to green coffee beans. Furthermore, it showed that coffee parchment and spent coffee grounds can be valorized as low-cost option to produce activated carbons. Further work needs to be directed to the optimization of the activation methods to improve the quality of the materials produced and the viability of applying such experiments in-situ to bring the coffee producer further valorization opportunities with environmental perspectives.
Coffee producers would profit in establishing appropriate simple technologies to improve green coffee quality, re-use coffee by-products, and wastewater valorization.
Das Centrosom von Dictyostelium ist acentriolär aufgebaut, misst ca. 500 nm und besteht aus einer dreischichten Core-Struktur mit umgebender Corona, an der Mikrotubuli nukleieren. In dieser Arbeit wurden das centrosomale Protein Cep192 und mögliche Interaktionspartner am Centrosom eingehend untersucht. Die einleitende Lokalisationsuntersuchung von Cep192 ergab, dass es während der gesamten Mitose an den Spindelpolen lokalisiert und im Vergleich zu den anderen Strukturproteinen der Core-Struktur am stärksten exprimiert ist. Die dauerhafte Lokalisation an den Spindelpolen während der Mitose wird für Proteine angenommen, die in den beiden identisch aufgebauten äußeren Core-Schichten lokalisieren, die das mitotische Centrosom formen. Ein Knockdown von Cep192 führte zur Ausbildung von überzähligen Mikrotubuli-organisierenden Zentren (MTOC) sowie zu einer leicht erhöhten Ploidie. Deshalb wird eine Destabilisierung des Centrosoms durch die verminderte Cep192-Expression angenommen. An Cep192 wurden zwei kleine Tags, der SpotH6- und BioH6-Tag, etabliert, die mit kleinen fluoreszierenden Nachweiskonjugaten markiert werden konnten. Mit den so getagten Proteinen konnte die hochauflösende Expansion Microscopy für das Centrosom optimiert werden und die Core-Struktur erstmals proteinspezifisch in der Fluoreszenzmikroskopie dargestellt werden. Cep192 lokalisiert dabei in den äußeren Core-Schichten. Die kombinierte Markierung von Cep192 und den centrosomalen Proteinen CP39 und CP91 in der Expansion Microscopy erlaubte die Darstellung des dreischichtigen Aufbaus der centrosomalen Core-Struktur, wobei CP39 und CP91 zwischen Cep192 in der inneren Core-Schicht lokalisieren. Auch die Corona wurde in der Expansion Microscopy untersucht: Das Corona-Protein CDK5RAP2 lokalisiert in räumlicher Nähe zu Cep192 in der inneren Corona. Ein Vergleich der Corona-Proteine CDK5RAP2, CP148 und CP224 in der Expansion Microscopy ergab unterscheidbare Sublokalisationen der Proteine innerhalb der Corona und relativ zur Core-Struktur. In Biotinylierungsassays mit den centrosomalen Core-Proteinen CP39 und CP91 sowie des Corona-Proteins CDK5RAP2 konnte Cep192 als möglicher Interaktionspartner identifiziert werden.
Die Ergebnisse dieser Arbeit zeigen die wichtige Funktion des Proteins Cep192 im Dictyostelium-Centrosom und ermöglichen durch die Kombination aus Biotinylierungsassays und Expansion Microscopy der untersuchten Proteine ein verbessertes Verständnis der Topologie des Centrosoms.
Current business organizations want to be more efficient and constantly evolving to find ways to retain talent. It is well established that visionary leadership plays a vital role in organizational success and contributes to a better working environment. This study aims to determine the effect of visionary leadership on employees' perceived job satisfaction. Specifically, it investigates whether the mediators meaningfulness at work and commitment to the leader impact the relationship. I take support from job demand resource theory to explain the overarching model used in this study and broaden-and-build theory to leverage the use of mediators.
To test the hypotheses, evidence was collected in a multi-source, time-lagged design field study of 95 leader-follower dyads. The data was collected in a three-wave study, each survey appearing after one month. Data on employee perception of visionary leadership was collected in T1, data for both mediators were collected in T2, and employee perception of job satisfaction was collected in T3. The findings display that meaningfulness at work and commitment to the leader play positive intervening roles (in the form of a chain) in the indirect influence of visionary leadership on employee perceptions regarding job satisfaction.
This research offers contributions to literature and theory by first broadening the existing knowledge on the effects of visionary leadership on employees. Second, it contributes to the literature on constructs meaningfulness at work, commitment to the leader, and job satisfaction. Third, it sheds light on the mediation mechanism dealing with study variables in line with the proposed model. Fourth, it integrates two theories, job demand resource theory and broaden-and-build theory providing further evidence. Additionally, the study provides practical implications for business leaders and HR practitioners.
Overall, my study discusses the potential of visionary leadership behavior to elevate employee outcomes. The study aligns with previous research and answers several calls for further research on visionary leadership, job satisfaction, and mediation mechanism with meaningfulness at work and commitment to the leader.
Dynamic resource management is an essential requirement for private and public cloud computing environments. With dynamic resource management, the physical resources assignment to the cloud virtual resources depends on the actual need of the applications or the running services, which enhances the cloud physical resources utilization and reduces the offered services cost. In addition, the virtual resources can be moved across different physical resources in the cloud environment without an obvious impact on the running applications or services production. This means that the availability of the running services and applications in the cloud is independent on the hardware resources including the servers, switches and storage failures. This increases the reliability of using cloud services compared to the classical data-centers environments.
In this thesis we briefly discuss the dynamic resource management topic and then deeply focus on live migration as the definition of the compute resource dynamic management. Live migration is a commonly used and an essential feature in cloud and virtual data-centers environments. Cloud computing load balance, power saving and fault tolerance features are all dependent on live migration to optimize the virtual and physical resources usage. As we will discuss in this thesis, live migration shows many benefits to cloud and virtual data-centers environments, however the cost of live migration can not be ignored. Live migration cost includes the migration time, downtime, network overhead, power consumption increases and CPU overhead.
IT admins run virtual machines live migrations without an idea about the migration cost. So, resources bottlenecks, higher migration cost and migration failures might happen. The first problem that we discuss in this thesis is how to model the cost of the virtual machines live migration. Secondly, we investigate how to make use of machine learning techniques to help the cloud admins getting an estimation of this cost before initiating the migration for one of multiple virtual machines. Also, we discuss the optimal timing for a specific virtual machine before live migration to another server. Finally, we propose practical solutions that can be used by the cloud admins to be integrated with the cloud administration portals to answer the raised research questions above.
Our research methodology to achieve the project objectives is to propose empirical models based on using VMware test-beds with different benchmarks tools. Then we make use of the machine learning techniques to propose a prediction approach for virtual machines live migration cost. Timing optimization for live migration is also proposed in this thesis based on using the cost prediction and data-centers network utilization prediction. Live migration with persistent memory clusters is also discussed at the end of the thesis. The cost prediction and timing optimization techniques proposed in this thesis could be practically integrated with VMware vSphere cluster portal such that the IT admins can now use the cost prediction feature and timing optimization option before proceeding with a virtual machine live migration.
Testing results show that our proposed approach for VMs live migration cost prediction shows acceptable results with less than 20% prediction error and can be easily implemented and integrated with VMware vSphere as an example of a commonly used resource management portal for virtual data-centers and private cloud environments. The results show that using our proposed VMs migration timing optimization technique also could save up to 51% of migration time of the VMs migration time for memory intensive workloads and up to 27% of the migration time for network intensive workloads. This timing optimization technique can be useful for network admins to save migration time with utilizing higher network rate and higher probability of success.
At the end of this thesis, we discuss the persistent memory technology as a new trend in servers memory technology. Persistent memory modes of operation and configurations are discussed in detail to explain how live migration works between servers with different memory configuration set up. Then, we build a VMware cluster with persistent memory inside server and also with DRAM only servers to show the live migration cost difference between the VMs with DRAM only versus the VMs with persistent memory inside.