As a consequence of the world population increase and the resulting water scarcity, water quality is the object of growing attention. In that context, organic anthropogenic molecules — often defined as micropollutants— represent a threat for water resources. Among them, pharmaceuticals are the object of particular concerns due to their permanent discharge, their increasing consumption and their effect-based structures. Pharmaceuticals are mainly introduced in the environment via wastewater treatment plants (WWTPs), along with their metabolites and the on-site formed transformation products (TPs). Once in the aquatic environment, they partition between the different environmental compartments in particular the aqueous phase, suspended particulate matter(SPM) and biota. In the last decades, pharmaceuticals have been widely investigated in the water phase. However, extreme polar pharmaceuticals have rarely been monitored due to the lack of robust analytical methods. Moreover, metabolites and TPs have seldom been included in routine analysis methods although their environmental relevance is proven. Furthermore, pharmaceuticals have been only sporadically investigated in SPM and biota and adequate multi-residue methods are lacking to obtain comprehensive results about their occurrence in these matrices. This thesis endeavors to cover these gaps of knowledge by the development of generic multi-residue methods for pharmaceuticals determination in the water phase, SPM and biota and to evaluate the occurrence and partition of pharmaceuticals into these compartments. For a complete overview, a particular focus was laid on extreme polar pharmaceuticals, pharmaceutical metabolites and TPs. In total, three innovative multi-residue methods were developed, they include analytes covering a broad range of physico-chemical properties. First, a reliable multi-residue method was developed for the analysis of extreme polar pharmaceuticals, metabolites and TPs dissolved in water. The selected analytes covered a significant range of elevated polarity and the method would be easily expendable to further analytes. This versatility could be achieved by the utilization of freeze-drying as sample preparation and zwitterionic hydrophilic interaction liquid chromatography (HILIC) in gradient elution mode. The suitability of HILIC chromatography to simultaneously quantify a large range of micropollutants in aqueous environmental samples was thoroughly studied. Several limitations were pointed out: a very complex and time-consuming method development, a very high sensitivity with regards to modification of the acetonitrile to water ratio in the eluent or the diluent and high positive matrix effects for certain analytes. However, these limitations can be overcome by the utilization of a precise protocol and appropriate labeled internal standards. They are overmatched by the benefits of HILIC which permits the chromatographic separation of extreme polar micropollutants. Investigation of environmental samples showed elevated concentrations of the analytes in the water phase. In particular, gabapentin, metformin, guanylurea and oxypurinol were measured at concentrations in the µg/L range in surface water. Subsequently, a reliable multi-residue method was established for the determination of 57 pharmaceuticals, 47 metabolites and TPs sorbed to SPM down to the low ng/g range. This method was conceived to cover a large range of polarity in particular with the inclusion of extreme polar pharmaceuticals. The extraction procedure was based on pressurized liquid extraction (PLE) followed by a clean-up via solvent exchange and detection via direct injection-reversed-phase LC-MS/MS and freeze-drying HILIC-MS/MS. Pharmaceutical sorption was examined using laboratory experiments. Derived distribution coefficients Kd varied by five orders of magnitude among the analytes and confirmed a high sorption potential for positively charged and nonpolar pharmaceuticals. The occurrence of pharmaceuticals in German rivers SPM was evaluated by the investigation of annual composite SPM samples taken at four sites at the river Rhine and one site at the river Saar between the years 2005 and 2015. It revealed the ubiquitous presence of pharmaceuticals sorbed to SPM in these rivers. In particular, positively charged analytes, even very polar and nonpolar pharmaceuticals showed appreciable concentrations. For many pharmaceuticals, a distinct correlation was observed between the annual quantities consumed in Germany and the concentrations measured in SPM. Studies of composite SPM spatial distribution permitted to get hints about specific industrial discharge by comparing the pollution pattern along the river. For the first time, these results showed the potential of SPM for the monitoring of positively charged and nonpolar pharmaceuticals in surface water. Finally, a reliable and generic multi residue method was developed to investigate 35 pharmaceuticals and 28 metabolites and TPs in fish plasma, fish liver and fish fillet. For this matrix, it was very challenging to develop an adequate clean-up allowing for the sufficient separation of the matrix disturbances from the analytes. In the final method, fish tissue extraction was performed by cell disruption followed by a non-discriminating clean-up based on silica gel solid-phase extraction(SPE) and restrictive access media (RAM) chromatography. Application of the developed method to the measurement of bream and carp tissues from German rivers revealed that even polar micropollutants such as pharmaceuticals are ubiquitously present in fish tissues. In total, 17 analytes were detected for the first time in fish tissues, including 10 metabolites/TPs. The importance of monitoring metabolites and TPs in fish tissues was confirmed with their detection at similar concentrations as their parents. Liver and fillet were shown to be appropriate for the monitoring of pharmaceuticals in fish, whereas plasma is more inconvenient due to very low concentrations and collection difficulties. Elevated concentrations of certain metabolites suggest possible formation of human metabolites in fish. Measured concentrations indicate a low bioaccumulation potential for pharmaceuticals in fish tissues.

Plastic, and so microplastics (MP), are globally present and represent an increasingly significant problem for the environment. In order to understand the distribution and impact of MP it is important to identify and quantify MP over a wide range of sizes and to ensure comparability of studies. However, comparability of studies is made difficult or even impossible by different MP concentration data. There still is a great need for research in the field of size-independent, quantitative analysis of MP in environmental samples, especially with regard to mass-based MP concentration information. Therefore, this thesis aims to utilize quantitative ¹H-NMR spectroscopy (qNMR) as an alternative method in MP analysis. The qNMR method is a size-independent, mass-based method which can be used as an alternative for MP analysis and has potential for routine analysis. The proof-of-concept was demonstrated for LDPE, PET and PS particles (Chapter 2). Additionally, PVC, PA, and ABS particles were tested to cover the most important polymer types for MP-analysis (Chapter 3). Moreover, using PET, PVC and PS as examples it was examined whether the qNMR method can also be transferred to the more cost-effective NoD method (Chapter 4). Results of method validation of both methods (1D and NoD) show that quantification using the qNMR method is not only possible in principle, but also shows high accuracy (88.0-110 %) and detection limits (1 – 84 µg) that lie within the environmentally relevant range. Furthermore, it was examined whether not only high-field instruments are suitable for MP analysis, but also benchtop devices (low-field instruments), which are much more cost-effective in purchase and maintenance. Increasing measurement times for PET and PS to 30 min and for PVC to 140 min, the lower measuring frequency especially concerning resolving capacity could be compensated (Chapter 4). To address the question of potential matrix effects of environmental samples, matrix effects and recovery rates of sample preparation procedures, which have been developed specifically for the application of the qNMR method were investigated using PET fibers as an example (Chapter 5). It could be shown that environmental matrices do not interfere with the quantitative analysis of MP using qNMR methods. Specific sample preparation methods developed for qNMR analysis can be used with recovery rates > 80 % for different environmental matrices (Chapter 5). Finally, first orienting investigations for the simultaneous determination of several polymer types in one sample are reported (Chapter 6).

Artificial intelligence (AI) is of rising importance in these days. AI is increasingly used in various company fields. Nonetheless, no high-quality scientific sources could be found stating the use of AI in the field of leadership. This research gap is addressed with this elaboration by performing expert interviews with leaders. In total seventeen companies could be questioned. The results indicate that AI is not widely used in leadership yet since only one company uses it currently and just about 10% of the participants plan the implementation in the closer feature. While the following items ex- plain why companies want to use AI in leadership: Chances for automation, time and cost savings, many important disadvantages and issues prevent companies from actively using it now: No areas of application are known, no need justifies the use, human interactions as a key aspect of leadership is reduced and it is hard to collect all necessary data. Beyond that, it was aimed to identify changes in the field of leadership through the use of AI. This objective could not be addressed due to the limited number of participants using AI in leadership. Keywords: Leadership, artificial intelligence, transformation, state-of-use

Enterprise Collaboration Systems (ECS) have become substantial for computer-mediated communication and collaboration among employees in organisations. As ECS combine features from social media and traditional groupware, a growing number of organisations implement ECS to facilitate collaboration among employees. Consequently, ECS form the core of the digital workplace. Thus, the activity logs of ECS are particularly valuable since they provide a unique opportunity for observing and analysing collaboration in the digital workplace. Evidence from academia and practice demonstrates that there is no standardised approach for the analysis of ECS logs and that practitioners struggle with various barriers. Because current ECS analytics tools only provide basic features, academics and practitioners cannot leverage the full potential of the activity logs. As ECS activity logs are a valuable source for understanding collaboration in the digital workplace, new methods and metrics for their analysis are required. This dissertation develops Social Collaboration Analytics (SCA) as a method for measuring and analysing collaboration activities in ECS. To address the existing limitations in academia and practice and to contribute a method and structures for applying SCA in practice, this dissertation aims to answer two main research questions: 1. What are the current practices for measuring collaboration activities in Enterprise Collaboration Systems? 2. How can Social Collaboration Analytics be implemented in practice? By answering the research questions, this dissertation seeks to (1) establish a broad thematic understanding of the research field of SCA and (2) to develop SCA as a structured method for analysing ac-tivity logs of ECS. As part of the first research question, this dissertation documents the status quo of SCA in the academic literature and practice. By answering the second research question, this dissertation contributes the SCA framework (SCAF), which guides the practical application of SCA. SCAF is the main contribution of this dissertation. The framework was developed based on findings from an analysis of 86 SCA studies, results from 6 focus groups and results from a survey among 27 ECS user companies. The phases of SCAF were derived from a comparison of established process models for data mining and business intelligence. The eight phases of the framework contain detailed descriptions, working steps, and guiding questions, which provide a step by step guide for the application of SCA in practice. Thus, academics and practitioners can benefit from using the framework. The constant evaluation of the research outcomes in focus groups ensures both rigour and relevance. This dissertation employs a qualitative-dominant mixed-methods approach. As part of the university-industry collaboration initiative IndustryConnect, this research has access to more than 30 leading ECS user companies. Being built on a key case study and a series of advanced focus groups with representatives of user companies, this dissertation can draw from unique insights from practice as well as rich data with a longitudinal perspective.

Within the field of Business Process Management, business rules are commonly used to model company decision logic and govern allowed company behavior. An exemplary business rule in the financial sector could be for example: ”A customer with a mental condition is not creditworthy”. Business rules are usually created and maintained collaboratively and over time. In this setting, modelling errors can occur frequently. A challenging problem in this context is that of inconsistency, i.e., contradictory rules which cannot hold at the same time. For instance, regarding the exemplary rule above, an inconsistency would arise if a (second) modeller entered an additional rule: ”A customer with a mental condition is always creditworthy”, as the two rules cannot hold at the same time. In this thesis, we investigate how to handle such inconsistencies in business rule bases. In particular, we develop methods and techniques for the detection, analysis and resolution of inconsistencies in business rule bases

In this thesis, the performance of the IceCube projects photon propagation code (clsim) is optimized. The process of GPU code analysis and perfor- mance optimization is described in detail. When run on the same hard- ware, the new version achieves a speedup of about 3x over the original implementation. Comparing the unmodified code on hardware currently used by IceCube (NVIDIA GTX 1080) against the optimized version run on a recent GPU (NVIDIA A100) a speedup of about 9.23x is observed. All changes made to the code are shown and their performance impact as well as the implications for simulation accuracy are discussed individually. The approach taken for optimization is then generalized into a recipe. Programmers can use it as a guide, when approaching large and complex GPU programs. In addition, the per warp job-queue, a design pattern used for load balancing among threads in a CUDA thread block, is discussed in detail.

Scientific and public interest in epidemiology and mathematical modelling of disease spread has increased significantly due to the current COVID-19 pandemic. Political action is influenced by forecasts and evaluations of such models and the whole society is affected by the corresponding countermeasures for containment. But how are these models structured? Which methods can be used to apply them to the respective regions, based on real data sets? These questions are certainly not new. Mathematical modelling in epidemiology using differential equations has been researched for quite some time now and can be carried out mainly by means of numerical computer simulations. These models are constantly being refinded and adapted to corresponding diseases. However, it should be noted that the more complex a model is, the more unknown parameters are included. A meaningful data adaptation thus becomes very diffcult. The goal of this thesis is to design applicable models using the examples of COVID-19 and dengue, to adapt them adequately to real data sets and thus to perform numerical simulations. For this purpose, first the mathematical foundations are presented and a theoretical outline of ordinary differential equations and optimization is provided. The parameter estimations shall be performed by means of adjoint functions. This procedure represents a combination of static and dynamical optimization. The objective function corresponds to a least squares method with L2 norm which depends on the searched parameters. This objective function is coupled to constraints in the form of ordinary differential equations and numerically minimized, using Pontryagin's maximum (minimum) principle and optimal control theory. In the case of dengue, due to the transmission path via mosquitoes, a model reduction of an SIRUV model to an SIR model with time-dependent transmission rate is performed by means of time-scale separation. The SIRUV model includes uninfected (U) and infected (V ) mosquito compartments in addition to the susceptible (S), infected (I) and recovered (R) human compartments, known from the SIR model. The unknwon parameters of the reduced SIR model are estimated using data sets from Colombo (Sri Lanka) and Jakarta (Indonesia). Based on this parameter estimation the predictive power of the model is checked and evaluated. In the case of Jakarta, the model is additionally provided with a mobility component between the individual city districts, based on commuter data. The transmission rates of the SIR models are also dependent on meteorological data as correlations between these and dengue outbreaks have been demonstrated in previous data analyses. For the modelling of COVID-19 we use several SEIRD models which in comparison to the SIR model also take into account the latency period and the number of deaths via exposed (E) and deaths (D) compartments. Based on these models a parameter estimation with adjoint functions is performed for the location Germany. This is possible because since the beginning of the pandemic, the cumulative number of infected persons and deaths are published daily by Johns Hopkins University and the Robert-Koch-Institute. Here, a SEIRD model with a time delay regarding the deaths proves to be particularly suitable. In the next step, this model is used to compare the parameter estimation via adjoint functions with a Metropolis algorithm. Analytical effort, accuracy and calculation speed are taken into account. In all data fittings, one parameter each is determined to assess the estimated number of unreported cases.

Der Wettbewerb um die besten Technologien zur Realisierung des autonomen Fahrens ist weltweit in vollem Gange. Trotz großer Anstrengungen ist jedoch die autonome Navigation in strukturierter und vor allem unstrukturierter Umgebung bisher nicht gelöst. Ein entscheidender Baustein in diesem Themenkomplex ist die Umgebungswahrnehmung und Analyse durch passende Sensorik und entsprechende Sensordatenauswertung. Insbesondere bildgebende Verfahren im Bereich des für den Menschen sichtbaren Spektrums finden sowohl in der Praxis als auch in der Forschung breite Anwendung. Dadurch wird jedoch nur ein Bruchteil des elektromagnetischen Spektrums genutzt und folglich ein großer Teil der verfügbaren Informationen zur Umgebungswahrnehmung ignoriert. Um das vorhandene Spektrum besser zu nutzen, werden in anderen Forschungsbereichen schon seit Jahrzehnten \sog spektrale Sensoren eingesetzt, welche das elektromagnetische Spektrum wesentlich feiner und in einem größeren Bereich im Vergleich zu klassischen Farbkameras analysieren. Jedoch können diese Systeme aufgrund technischer Limitationen nur statische Szenen aufnehmen. Neueste Entwicklungen der Sensortechnik ermöglichen nun dank der \sog Snapshot-Mosaik-Filter-Technik die spektrale Abtastung dynamischer Szenen. In dieser Dissertation wird der Einsatz und die Eignung der Snapshot-Mosaik-Technik zur Umgebungswahrnehmung und Szenenanalyse im Bereich der autonomen Navigation in strukturierten und unstrukturierten Umgebungen untersucht. Dazu wird erforscht, ob die aufgenommen spektralen Daten einen Vorteil gegenüber klassischen RGB- \bzw Grauwertdaten hinsichtlich der semantischen Szenenanalyse und Klassifikation bieten. Zunächst wird eine geeignete Vorverarbeitung entwickelt, welche aus den Rohdaten der Sensorik spektrale Werte berechnet. Anschließend wird der Aufbau von neuartigen Datensätzen mit spektralen Daten erläutert. Diese Datensätze dienen als Basis zur Evaluation von verschiedenen Klassifikatoren aus dem Bereich des klassischen maschinellen Lernens. Darauf aufbauend werden Methoden und Architekturen aus dem Bereich des Deep-Learnings vorgestellt. Anhand ausgewählter Architekturen wird untersucht, ob diese auch mit spektralen Daten trainiert werden können. Weiterhin wird die Verwendung von Deep-Learning-Methoden zur Datenkompression thematisiert. In einem nächsten Schritt werden die komprimierten Daten genutzt, um damit Netzarchitekturen zu trainieren, welche bisher nur mit RGB-Daten kompatibel sind. Abschließend wird analysiert, ob die hochdimensionalen spektralen Daten bei der Szenenanalyse Vorteile gegenüber RGB-Daten bieten

Redaktionelle Korrektur betreffed die Satzung zur Festsetzung von Zulassungszahlen an der Universität Koblenz-Landau für das Studienjahr 2020/2021 vom 02. Juli 2020 Masterprüfungsordnung für den weiterbildenden Fernstudiengang „Master of Business Administration“ des Fachbereiches 4: Informatik der Universität Koblenz- Landau

Since the Bologna reform a continuous improvement of the lessons’ quality at school, which is often connected with the professionalization of the future teachers and the teaching post education, is aimed by Alliance and federal states. The quality of the lessons is connected with the professionalization of the future teacher and the teaching post education. In most studies about quality improvement the consideration occurs predominantly from the university view and it is seldom related on the subject Sport. The quality study is established on these two points and leads to the main question: Are there any differences in the teachers‘ and learners‘ perceptions of the professionalization of sport teachers in the certain education phases in Rheinland-Pfalz? With the help of 101 guide interviews and the evaluation according to the Grounded Theory this source question can be answered straight. There were interviewed teachers of the universities, of the state study seminars and the school, as well as learners, to that refer trainees and students. During the study the „missing school relation” crystallizes consistent in all personal groups as key element (core category) in the first and second education phase. The interviewed, which belong to different school forms, give relevant concrete, specific for sport and partially subject covering optimization proposals. As a result a main focus forms untimely relations to the school everyday life and at the same time collect teaching experiences with learning groups at school to get to know their different motor abilities and skills. The improvement approaches concern the university phase and the training period in the study seminars and schools, and the involved consider for necessary a more intensive interlinking of the individual institutions. A mutual, continuous cooperation for the professionalization in the sportsman's education and therefore the optimization of the sports teacher training is very important for all involved.

Das Bulletin Esskulturen ist aus dem Verbundprojekt „Esskulturen. Objekte, Praktiken, Semantiken“ hervorgegangen, das im Rahmen der Förderlinie „Sprache der Objekte“ von September 2018 bis August 2021 vom Bundesministerium für Bildung und Forschung finanziert wird. In jeder Ausgabe bildet ein Objekt der Stiftung Bürgerliche Wohnkultur, Sammlung Alex Poignard (Landesmuseum Koblenz) den Ausgangspunkt für eine interdisziplinäre Auseinandersetzung mit unterschiedlichen soziokulturellen Fragen rund um das Thema Essen. Tisch-Ordnungen. Hierarchisierung und Egalisierung, Bulletin Esskulturen, 1. Jahrgang 2019, Mappe 1, Faszikel 1-6 Inhalt der Ausgabe Cordula Stadtfeld, Aufgetischt. Menuhalter aus der Sammlung
 Alex Poignard im Landesmuseum Michaela Bauks, Tischordnung im frühen Christentum. 
Die Umwandlung gesellschaftlicher Werte Marion Steinicke,
 Ungeladene Gäste.
 Tischordnungen für Lebende und Tote Nicole Maruo-Schröder,
 „A Family of Peculiar Construction“. Tisch-(Un-)Ordnungen in Frank J. Webbs The Garies and Their Friends Andreas Ackermann, 
„Und die Mutter blicket stumm 
auf dem ganzen Tisch herum“. Über Tisch-(Un-)Ordnungen Tanita Burda, Tischordnungen.
 Makro im Mikro – Ein Gedankenspiel Impressum

Das Bulletin Esskulturen ist aus dem Verbundprojekt „Esskulturen. Objekte, Praktiken, Semantiken“ hervorgegangen, das im Rahmen der Förderlinie „Sprache der Objekte“ von September 2018 bis August 2021 vom Bundesministerium für Bildung und Forschung finanziert wird. In jeder Ausgabe bildet ein Objekt der Stiftung Bürgerliche Wohnkultur, Sammlung Alex Poignard (Landesmuseum Koblenz) den Ausgangspunkt für eine interdisziplinäre Auseinandersetzung mit unterschiedlichen soziokulturellen Fragen rund um das Thema Essen. Ess-Manieren. Etikette und Abweichung, Bulletin Esskulturen, 2. Jahrgang 2020, Mappe III, Faszikel 13-18 Inhalt der Ausgabe Petra Habrock-Henrich, Der Serviettenring. Funktionsbesteckteil mit Symbolkraft, Dekorations- und Sammlungsobjekt Clemens Albrecht, Trotzdem. Die paradoxalen Grundlagen der Essmanieren Albrecht Classen, Tischzuchten und höfisches Verhalten im Mittelalter. Essen als soziales Ereignis Susanne Enderwitz, Tischmanieren im Kontext. Futuwa und zarf im mittelalterlichen Islam Gianluca Cavelti/Thomas Schmid, Tischsitten im Kontext institutioneller Erziehung Maximilian Rünker, Mehr als Zu(-)Schauen. Popcornessen und die Körperlichkeit des Kinos Impressum

Das Bulletin Esskulturen ist aus dem Verbundprojekt „Esskulturen. Objekte, Praktiken, Semantiken“ hervorgegangen, das im Rahmen der Förderlinie „Sprache der Objekte“ von September 2018 bis August 2021 vom Bundesministerium für Bildung und Forschung finanziert wird. In jeder Ausgabe bildet ein Objekt der Stiftung Bürgerliche Wohnkultur, Sammlung Alex Poignard (Landesmuseum Koblenz) den Ausgangspunkt für eine interdisziplinäre Auseinandersetzung mit unterschiedlichen soziokulturellen Fragen rund um das Thema Essen. Tafel-Dekorationen. Speisegestaltung und Repräsentation, Bulletin Esskulturen, 2. Jahrgang 2020, Mappe V, Faszikel 25-30 Inhalt der Ausgabe Britta Stein, Tafeldekoration = Repräsentation? Einblicke in die Sammlung Alex Poignard Barbara Weyandt, „Nur Verschwendung bringt Prestige ...“. Tafelaufsätze zwischen Luxus und sozialem Sinn Stefanie Brüning, Vergängliche Tafelfreuden Heinz Georg Held, Das stille Leben nach dem Leben. Zur Kunst-Sprache des Tafeldekors Hans Körner, Eine Runkelrübe als Tischdekoration Andreas Ackermann, Wein, dekorativ betrachtet. Unter besonderer Berücksichtigung des bundesrepublikanischen Staatsbanketts Impressum

As a multilingual system,Wikipedia provides many challenges for academics and engineers alike. One such challenge is cultural contextualisation of Wikipedia content, and the lack of approaches to effectively quantify it. Additionally, what seems to lack is the intent of establishing sound computational practices and frameworks for measuring cultural variations in the data. Current approaches seem to mostly be dictated by the data availability, which makes it difficult to apply them in other contexts. Another common drawback is that they rarely scale due to a significant qualitative or translation effort. To address these limitations, this thesis develops and tests two modular quantitative approaches. They are aimed at quantifying culture-related phenomena in systems which rely on multilingual user-generated content. In particular, they allow to: (1) operationalise a custom concept of culture in a system; (2) quantify and compare culture-specific content- or coverage biases in such a system; and (3) map a large scale landscape of shared cultural interests and focal points. Empirical validation of these approaches is split into two parts. First, an approach to mapping Wikipedia communities of shared co-editing interests is validated on two large Wikipedia datasets comprising multilateral geopolitical and linguistic editor communities. Both datasets reveal measurable clusters of consistent co-editing interest, and computationally confirm that these clusters correspond to existing colonial, religious, socio economic, and geographical ties. Second, an approach to quantifying content differences is validated on a multilingual Wikipedia dataset, and a multi-platform (Wikipedia and Encyclopedia Britannica) dataset. Both are limited to a selected knowledge domain of national history. This analysis allows, for the first time on the large scale, to quantify and visualise the distribution of historical focal points in the articles on national histories. All results are cross-validated either by domain experts, or external datasets. Main thesis contributions. This thesis: (1) presents an effort to formalise the process of measuring cultural variations in user-generated data; (2) introduces and tests two novel approaches to quantifying cultural contextualisation in multilingual data; (3) synthesises a valuable overview of literature on defining and quantifying culture; (4) provides important empirical insights on the effect of culture on Wikipedia content and coverage; demonstrates that Wikipedia is not contextfree, and these differences should not be treated as noise, but rather, as an important feature of the data. (5) makes practical service contributions through sharing data and visualisations.

Soziale Netzwerke spielen im Alltagsleben der Schülerinnen und Schüler eine entscheidende Rolle. Im Rahmen der vorliegenden Masterarbeit wurde ein Konzept für die Anzeige von Profilvorschlägen innerhalb des sozialen Netzwerks „InstaHub“, welches ein speziell für den Informatikunterricht programmiertes Werkzeug zum Thema „Datenbanken“ darstellt, entwickelt. Als Hürde stellte sich dabei dar, dass von den etablierten sozialen Netzwerken nur wenig bis gar keine Informationen über die Berechnung von Profil- oder Freundschaftsvorschlägen preisgegeben werden. Daher wurde zunächst das Wesen von Beziehungen zwischen Menschen in nicht-internetbasierten und in internetbasierten sozialen Netzwerken sowie die Gründe für Beziehungen zwischen Menschen in diesen Netzwerken dargelegt. Anhand der Beobachtung von Vorschlägen in anderen sozialen Netzwerken sowie der in InstaHub gespeicherten Nutzerdaten wurde ein Algorithmus für Profilvorschläge in InstaHub entworfen und mitsamt einer passenden Visualisierung entsprechend implementiert. Den zweiten Teil der Arbeit bildete eine Unterrichtseinheit für die Sekundarstufe II mit dem Thema Gefahren der Erzeugung und Verarbeitung von personenbezogenen Daten. In der Unterrichtseinheit dienen die Profilvorschläge in InstaHub, die auf von InstaHub über dessen Nutzer gesammelten Daten aufbauen, als Einstieg in die Thematik. Anschließend wird der Fokus von sozialen Netzwerken auf andere Online-Dienste erweitert und auf die Verarbeitung und Weitergabe dieser Daten eingegangen.

Vorlesungsverzeichnis der Universität Koblenz-Landau, Campus Landau, für das Wintersemester 2019/2020

Veranstaltungsverzeichnis - Koblenz - Wintersemester 2020/21

Veranstaltungsverzeichnis - Koblenz - Sommersemster 2019

Feuerbetone werden als Auskleidung in industriellen Hochtemperaturaggregaten, wie beispielsweise in der Eisen- und Stahlindustrie, eingesetzt. Nach dem Mischen und dem Gießen eines Feuerbetons in Formen bzw. Schalungen, muss dieser abbinden und eine ausreichende Festigkeit ausbilden. Die Kinetik der Abbindevorgänge und somit auch das Erhärtungsverhalten variiert dabei stark in Abhängigkeit der Zusammensetzung, vor allem hinsichtlich des Bindemittels und der Additive, des Feuerbetons. In der Praxis der Herstellung von Feuerbetonen kommt es häufig zu Beschädigungen der hergestellten Bauteile oder Auskleidungen durch das Fließen noch nicht ausreichend abgebundener Feuerbetone bzw. die Beschädigung von Ecken und Kanten während des Ausschalens oder Bauteilen reißen durch mechanische Belastung beim Umsetzen oder beim Transport. Diese Beschädigungen basieren auf Fehleinschätzungen zum Abbindefortschritt und der korrespondierenden Festigkeitsausprägung der Feuerbetone. Diese wiederum sind auf Lücken im Stand der Technik zurück zu führen. Für PCE-verflüssigte und CA-Zement-gebundene Korund-Feuerbetonen mit einer Al₂O₃- und Al₂O₃-SiO₂-Matrix, werden die Defizite des Stands der Technik für diese Feuerbetonklasse identifiziert: Diese liegen im Bereich der Verflüssigungswirkung und des ersten Ansteifens der Feuerbetone, der Hydratation des CA-Zements in den Feuerbetonen und der Festigkeitsausprägung der Feuerbetone. Hieraus leitet sich ein entsprechender Forschungsbedarf ab. Am Beispiel von zwei PCE-verflüssigten (PCE mit kurzer Hauptkette und langen Seitenketten sowie PCE mit langer Hauptkette und kurzen Seitenketten) und CA-Zement-gebundenen (70 % Al₂O₃) Feuerbetonen mit einer reaktivtonerde-basierten und einer reaktivtonerde-mikrosilika-basierten Matrix werden abbindekinetische Untersuchungen durchgeführt. Anhand verschiedener abbindekinetischer Messmethoden, wie Schallgeschwindigkeit oder elektrischer Leitfähigkeit, und einigen ergänzenden Messung, wie beispielsweise das ζ-Potential, wird der Abbindeverlauf der Feuerbetone untersucht und die Defizite aus dem Stand der Technik aufgeklärt. Im Detail wurde der Stand der Technik um folgende Erkenntnisse ergänzt: • Verflüssigung von Feuerbetonen mit PCE-Molekülen: Es wurde festgestellt, dass die Verflüssigungswirkung und das erste Ansteifen maßgeblich durch die Struktur der Verflüssigermoleküle hervorgerufen werden. PCE-Moleküle mit langen Seitenketten verflüssigen eher sterisch. Durch die Vermittlung von Ca²⁺ aus dem CA-Zement wird die Adsorption der PCE-Moleküle verstärkt. Freie PCE-Moleküle können auf CAH-Phasen (Hydratationsprodukte) adsorbieren und somit die Fließfähigkeit des Feuerbetons für eine gewisse Zeit aufrechterhalten. PCE-Moleküle mit kurzen Seitenketten verflüssigen elektrosterisch. Bei Lösung von Ca²⁺ aus dem CA-Zement kommt es zu einer Ca-PCE Gel-Bildung und einer korrespondierenden Koagulation der Feuerbetonmatrix und der Feuerbeton steift zeitnah nach dem Mischen an. • Hydratation von CA-Zement: Die Hydratation von CA-Zement in den Feuerbetonen wird wesentlich durch die Länge der Seitenketten der PCE-Moleküle bzw. der Anwesenheit von Zitronensäure beeinflusst. In Feuerbetonen die mit PCE-Molekülen mit langen Seitenketten verflüssigt wurden, kann der CA-Zement weitestgehend frei hydratisieren. Der CAH-Phasenanteil steigt in zwei Abschnitten, getrennt von einer dormanten Phase. Die dormante Phase der CA Zementhydratation wurde auf eine Lösungshemmung der Al-O-H-Passivierungsschicht auf dem CA-Zement bei mäßigem pH-Wert (pH = 12,3) zurückgeführt. In Feuerbetonen die mit PCE-Molekülen mit kurze Seitenketten und Zitronensäure verflüssigt werden, wird die Hydratationsreaktion durch eine Ca-Citrat-PCE-Al(OH)₄-Gelbildung stark gehemmt. Es besteht die Vermutung, dass die Bindung von Ca²⁺ in dem Gel zum einen eine sehr ausgeprägte dormante Phase (pH < 12,3), mit einer schlechten Löslichkeit der Passivierungsschicht, bewirkt und zum anderen auch die Fällung von CAH-Phasen unterdrückt. • Festigkeitsausprägung von CA-Zement-gebundenen Feuerbetonen: Eine Koagulation bewirkt die erste Festigkeitssteigerung der Feuerbetone auf σB < 1 MPa. Im Anschluss findet die Hauptfestigkeitssteigerung auf Grund von Austrocknung durch Hydratation und Verdunstung statt. Der weitere Teil der Festigkeitssteigerung wird durch die Reduzierung der Porosität durch expansive CA-Zementhydratation und die hohe spezifische Oberfläche sowie deren weitere Erhöhung durch die CA-Zementhydratation bewirkt. Aus den einzelnen abbindekinetischen Effekten können, zusammen mit dem Stand der Technik und den neuen Erkenntnissen, mikrostrukturelle Abbindemodelle und Modelle zur Festigkeitsentwicklung der Feuerbetone abgeleitet werden. In Folge kann für die zwei Feuerbetone zu jedem Zeitpunkt des Abbindens eine Aussage zum Abbindefortschritt und zur Festigkeitsausprägung getätigt werden. Einige der Abbindemechanismen und festigkeitsbildenden Mechanismen können auf andere Feuerbetonzusammensetzungen übertragen werden.

In dieser wiederkehrenden Zeitschriftenreihe wollen wir die Arbeit junger Wissenschaftlerinnen und Wissenschaftler an der Universität Koblenz-Landau kommunizieren und Studierenden Austausch- und Publikationsmöglichkeiten für den wissenschaftlichen Werdegang eröffnen. In dieser Ausgabe: Pfefferkorn, Luca. Auswirkungen von Lückenskripten auf das Arbeiten und Lernen in mathematischen Vorlesungen der Studieneingangsphase. Steffen, Theresa. Der Einfluss von Musik auf die kognitive Leistungsfähigkeit von Schülerinnen. Kuhlmann, Fiene. Die Geschlechterpolitik der Alternative für Deutschland (AfD): Eine diskursanalytische Betrachtung zu den Verschränkungen von Anti-Gender und der Ethnisierung von Sexismus. Dany, Matthias. „Findet Nemo!“: Eine multimodale Kommunikationsanalyse digitaler Protestkultur von Fridays-For-Future. Reifenhäuser, Mona. Sprachwissenschaftliche Analyse von Auswandererbriefen des 19. Jahrhunderts im Spannungsfeld zwischen Nähe und Distanz. Schmitt, Katharina. Die Emigration aus dem Hunsrück nach Brasilien – eine postkoloniale Analyse der von Nachfahr*innen Ausgewanderter verfassten Familienbiografien. Bednarz, Julia. Artenkenntnis – vom Aussterben bedroht? Eine empirische Untersuchung der Artenkenntnis volljähriger Personen in Deutschland, Österreich und der Schweiz am Beispiel einheimischer Vogelarten. Schöller, Kathrin. Mord mit Opferbeseitigung: Eine quantitative Analyse der Insektenbesiedlung bei unterschiedlichen Leichenverbergungsstrategien. Heimann, Florian.Parameter Estimation of Physico-Biological Muscle Models: Comparing Günthers Biomechanical Four-Element Model to Macroscopic Hill-Equations. Mikliss, Annika C.. Registrierung von 3D-Modellen auf Basis von Röntgenaufnahmen zur Darstellung von Hüftgelenksdysplasie bei Hunden. Nagel, Sabine. Analysis of Task Management Functionalities and their Implementation and Use in Enterprise Collaboration Systems. Hansen, Christian. Declarative Process Mining: a Method for the Discovery of Collaboration Scenarios in Enterprise Collaboration Systems. Blatt, Jonas. Entwicklung eines Prototypen für die Verifikation von Decision Model and Notation. Lienen, Dominik. Orchestrierung von Daten und Services einer KI im Unternehmenskontext.

Thousands of chemicals from daily use are being discharged from civilization into the water cycle via different pathways. Ingredients of personal care products, detergents, pharmaceuticals, pesticides, and industrial chemicals thus find their way into the aquatic ecosystems and may cause adverse impacts on the ecology. Pharmaceuticals for instance, represent a central group of anthropogenic chemicals, because of their designed potency to interfere with physiological functions in organisms. Ecotoxicological effects from pharmaceutical burden have been verified in the past. Therapeutic groups with pronounced endocrine disrupting potentials such as steroid hormones gain increasing focus in environmental research as it was reported that they cause endocrine disruption in aquatic organisms even when exposed to environmentally relevant concentrations. This thesis considers the comprehensive investigation of the occurrence of corticosteroids and progestogens in wastewater treatment plant (WWTP) effluents and surface waters as well as the elucidation of the fate and biodegradability of these steroid families during activated sludge treatment. For the first goal of the thesis, a robust and highly sensitive analytical method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed in order to simultaneously determine the occurrence of around 60 mineralocorticoids, glucocorticoids and progestogens in the aquatic environment. A special focus was set to the compound selection due to the diversity of marketed synthetic steroids. Some analytical challenges have been approved by individual approaches regarding sensitivity enhancement and compound stabilities. These results may be important for further research in environmental analysis of steroid hormones. Reliable and low quantification limits are the perquisite for the determination of corticosteroids and progestogens at relevant concentrations due to low consumption volumes and simultaneously low effect-based trigger values. Achieved quantification limits for all target analytes ranged between 0.02 ng/L and 0.5 ng/L in surface water and 0.05 ng/L to 5 ng/L in WWTP effluents. This sensitivity enabled the detection of three mineralocorticoids, 23 glucocorticoids and 10 progestogens within the sampling campaign around Germany. Many of them were detected for the first time in the environment, particularly in Germany and the EU. To the best of our knowledge, this in-depth steroid screening provided a good overview of single steroid burden and allowed for the identification of predominantly steroids of each steroid type analyzed for the first time. The frequent detection of highly potent synthetic steroids (e.g. triamcinolone acetonide, clobetasol propionate, betamethasone valerate, dienogest, cyproterone acetate) highlighted insufficient removal during conventional Summary wastewater treatment and indicated the need for regulation to control their emission since the steroid concentrations were found to be above the reported effect-based trigger values for biota. Overall, the study revealed reliable environmental data of poorly or even not analyzed steroids. The results complement the existing knowledge in this field but also providednew information which can beused particularly for compound prioritization in ecotoxicological research and environmental analysis. Based on the data obtained from the monitoring campaign, incubation experiments were conducted to enable the comparison of the biodegradability and transformation processes in activated sludge treatment for structure-related steroids under aerobic and standardized experimental conditions. The compounds were accurately selected to cover manifold structural moieties of commonly used glucocorticoids, including non-halogenated and halogenated steroids, their mono- and diesters, and several acetonide-type steroids. This approach allowed for a structure-based interpretation of the results. The obtained biodegradation rate constants suggested large variations in the biodegradability (half-lifes ranged from < 0.5 h to > 14 d). An increasing stability was identified in the order from non-halogenated steroids (e.g. hydrocortisone), over 9α-halogenated steroids (e.g. betamethasone), to C17-monoesters (e.g. betamethasone 17-valerate, clobetasol propionate), and finally to acetonides (e.g. triamcinolone acetonide), thus suggesting a strong relationship of the biodegradability with the glucocorticoid structure. Some explanations for this behavior have been received by identifying the transformation products (TPs) and elucidating individual transformation pathways. The results revealed the identification of the likelihood of transformation reactions depending on the chemical steroid structure for the first time. Among the identified TPs, the carboxylates (e.g. TPs of fluticasone propionate, triamcinolone acetonide) have been shown persistency in the subsequent incubation experiments. The newly identified TPs furthermore were frequently detected in the effluents of full-scale wastewater treatment plants. These findings emphasized i) the transferability of the lab-scale degradation experiments to real world and that ii) insufficient removals may cause adverse effects in the aquatic environment due to the ability of the precursor steroids and TPs to interact with the endocrine system in biota. For the last goal, the conceptual study for glucocorticoids was applied to progestogens. Here, two sub-types of the steroid family frequently used for hormonal contraception were selected (17α-hydroxyprogesterone and 19-norstestosterone type). The progestogens showed a fast and complete degradation within six hours, and thus empathizes pronounced biodegradability. However, cyproterone acetate and dienogest Summary have been found to be more recalcitrant in activated sludge treatment. This was consistent with their ubiquitously occurrence during the previous monitoring campaign. The elucidation of TPs again revealed some crucial information regarding the observed behavior and highlighted furthermore the formation of hazardous TPs. It was shown that 19-nortestosterone type steroids are able to undergo aromatization at ring A in contact with activated sludge, leading to the formation of estrogen-like TPs with a phenolic moiety at ring A. In the case of norethisterone the formation of 17α-ethinylestradiol was confirmed, which is a well-known potent synthetic estrogen with elevated ecotoxicological potency. Thus, the results indicated for the very first time an unknown source of estrogenic compounds, particularly for 17α-ethinylestradiol. In conclusion, some steroids were found to be very stable in activated sludge treatment, others degrade well, and others which do degrade but predominantly to active TPs depending on their chemical structure. Fluorinated acetal steroids such as triamcinolone acetonide and fluocinolone acetonide are poorly biodegradable, which is reflected in high concentrations detected ubiquitously in WWTP effluents. Endogenous steroids and their most related synthetic once such as hydrocortisone, prednisolone or 17α-hydroxyprogesterone are readily biodegradable. Regardless their high influent concentrations, they are almost completely removed in conventional WWTPs. Steroids between this range have been found to form elevated quantities of TPs which are partially still active, which particularly the case for betamethasone, fluticasone propionate, cyproterone acetate or dienogest. The thesis illustrates the need for an extensive evaluation of the environmental risks and carried out that corticosteroids and progestogens merit more attention in environmental regulatory and research than it is currently the case

Human action recognition from a video has received growing attention in computer vision and has made significant progress in recent years. Action recognition is described as a requirement to decide which human actions appear in videos. The difficulties involved in distinguishing human actions are due to the high complexity of human behaviors as well as appearance variation, motion pattern variation, occlusions, etc. Many applications use human action recognition on captured video from cameras, resulting in video surveillance systems, health monitoring, human-computer interaction, and robotics. Action recognition based on RGB-D data has increasingly drawn more attention to it in recent years. RGB-D data contain color (Red, Green, and Blue (RGB)) and depth data that represent the distance from the sensor to every pixel in the object (object point). The main problem that this thesis deals with is how to automate the classification of specific human activities/actions through RGB-D data. The classification process of these activities utilizes a spatial and temporal structure of actions. Therefore, the goal of this work is to develop algorithms that can distinguish these activities by recognizing low-level and high-level activities of interest from one another. These algorithms are developed by introducing new features and methods using RGB-D data to enhance the detection and recognition of human activities. In this thesis, the most popular state-of-the-art techniques are reviewed, presented, and evaluated. From the literature review, these techniques are categorized into hand-crafted features and deep learning-based approaches. The proposed new action recognition framework is based on these two categories that are approved in this work by embedding novel methods for human action recognition. These methods are based on features extracted from RGB-D data that are evaluated using machine learning techniques. The presented work of this thesis improves human action recognition in two distinct parts. The first part focuses on improving current successful hand-crafted approaches. It contributes into two significant areas of state-of-the-art: Execute the existing feature detectors, and classify the human action in the 3D spatio-temporal domains by testing a new combination of different feature representations. The contributions of this part are tested based on machine learning techniques that include unsupervised and supervised learning to evaluate this suitability for the task of human action recognition. A k-means clustering represents the unsupervised learning technique, while the supervised learning technique is represented by: Support Vector Machine, Random Forest, K-Nearest Neighbor, Naive Bayes, and Artificial Neural Networks classifiers. The second part focuses on studying the current deep-learning-based approach and how to use it with RGB-D data for the human action recognition task. As the first step of each contribution, an input video is analyzed as a sequence of frames. Then, pre-processing steps are applied to the video frames, like filtering and smoothing methods to remove the noisy data from each frame. Afterward, different motion detection and feature representation methods are used to extract features presented in each frame. The extracted features are represented by local features, global features, and feature combination besides deep learning methods, e.g., Convolutional Neural Networks. The feature combination achieves an excellent accuracy performance that outperforms other methods on the same RGB-D datasets. All the results from the proposed methods in this thesis are evaluated based on publicly available datasets, which illustrate that using spatiotemporal features can improve the recognition accuracy. The competitive experimental results are achieved overall. In particular, the proposed methods can be better applied to the test set compared to the state-of-the-art methods using the RGB-D datasets.

This thesis addresses the reduced basis methods for parametrized quasilinear elliptic and parabolic partial differential equations with strongly monotone differential operator. It presents all of the ingredients of the reduced basis method: basis generation for reduced basis approximation, certification of the approximation error by suitable a-posteriori error control and an Offine-Online decomposition. The methodology is further applied to the magnetostatic and magnetoquasistatic approximations of Maxwell’s equations and its validity is confirmed by numerical examples.

Vertebrate biodiversity is rapidly decreasing worldwide with amphibians being the most endangered vertebrate group. In the EU, 21 of 89 amphibian species are recognized as being endangered. The intensively used European agricultural landscape is one of the major causes for these declines. As agriculture represents an essential habitat for amphibians, exposure to pesticides can have adverse effects on amphibian populations. Currently, the European risk assessment of pesticides for vertebrates requires specific approaches for fish regarding aquatic vertebrate toxicity and birds as well as mammals for terrestrial vertebrate toxicity but does not address the unique characteristics of amphibians. Therefore, the overall goal of this thesis was to investigate the ecotoxicological effects of pesticides on Central European anuran amphibians. For this, effects on aquatic and terrestrial amphibian life stages as well as on reproduction were investigated. Then, in anticipation of a risk assessment of pesticides for amphibians, this thesis discussed potential regulatory risk assessment approaches. For the investigated pesticides and amphibian species, it was observed that the acute aquatic toxicity of pesticides can be addressed using the existing aquatic risk assessment approach based on fish toxicity data. However, lethal as well as sublethal effects were observed in terrestrial juveniles after dermal exposure to environmentally realistic pesticide concentrations, which cannot be covered using an existing risk assessment approach. Therefore, pesticides should also be evaluated for potential terrestrial toxicity using risk assessment tools before approval. Additionally, effects of co-formulants and adjuvants of pesticides need specific consideration in a future risk assessment as they can increase toxicity of pesticides to aquatic and terrestrial amphibian stages. The chronic duration of combined aquatic and terrestrial exposure was shown to affect amphibian reproduction. Currently, such effects cannot be captured by the existing risk assessment as data involving field scenarios analysing effects of multiple pesticides on amphibian reproduction are too rare to allow comparison to data of other terrestrial vertebrates such as birds and mammals. In the light of these findings, future research should not only address acute and lethal effects, but also chronic and sublethal effects on a population level. As pesticide exposure can adversely affect amphibian populations, their application should be considered even more carefully to avoid further amphibian declines. Overall, this thesis emphasizes the urgent need for a protective pesticide risk assessment for amphibians to preserve and promote stable amphibian populations in agricultural landscapes.

Enterprise collaboration platforms are increasingly gaining importance in organisations. Integrating groupware functionality and enterprise social software (ESS), they have substantially been transforming everyday work in organisations. While traditional collaboration systems have been studied in Computer Supported Cooperative Work (CSCW) for many years, the large-scale, infrastructural and heterogeneous nature of enterprise collaboration platforms remains uncharted. Enterprise collaboration platforms are embedded into organisations’ digital workplace and come with a high degree of complexity, ambiguity, and generativity. When introduced, they are empty shells with no pre-determined purposes of use. They afford interpretive flexibility, and thus are shaping and being shaped by and in their social context. Outcomes and benefits emerge and evolve over time in an open-ended process and as the digital platform is designed through use. In order to make the most of the platform and associated continuous digital transformation, organisations have to develop the necessary competencies and capabilities. Extant literature on enterprise collaboration platforms has proliferated and provide valuable insights on diverse topics, such as implementation strategies, adoption hurdles, or collaboration use cases, however, they tend to disregard their evolvability and related multiple time frames and settings. Thus, this research aims to identify, investigate, and theorise the ways that enterprise collaboration platforms are changing over time and space and the ways that organisations build digital transformation capabilities. To address this research aim two different case study types are conducted: i) in-depth longitudinal qualitative case study, where case narratives and visualisations capturing hard-to-summarise complexities in the enterprise collaboration platform evolution are developed and ii) multiple-case studies to capture, investigate, and compare cross-case elements that contribute to the shaping of enterprise collaboration platforms in different medium-sized and large organisations from a range of industries. Empirical data is captured and investigated through a multi-method research design (incl. focus groups, surveys, in-depth interviews, literature reviews, qualitative content analysis, descriptive statistics) with shifting units of analysis. The findings reveal unique change routes with unanticipated outcomes and transformations, context-specific change strategies to deal with multiple challenges (e.g. GDPR, works council, developments in the technological field, competing systems, integration of blue-collar workers), co-existing platform uses, and various interacting actors from the immediate setting and broader context. The interpretation draws on information infrastructure (II) as a theoretical lens and related sociotechnical concepts and perspectives (incl. inscriptions, social worlds, biography of artefacts). Iteratively, a conceptual model of the building of digital transformation capabilities is developed, integrating the insights gained from the study of enterprise collaboration platform change and developed monitoring change tools (e.g. MoBeC framework). It assists researchers and practitioners in understanding the building of digital transformation capabilities from a theoretical and practical viewpoint and organisations implement the depicted knowledge in their unique digital transformation processes.