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Efficient and predictable thread synchronization mechanisms for mixed-criticality systems on shared-memory multi-processor platforms (2021)
Züpke, Alexander
Real-time operating systems for mixed-criticality systems must support different types of software, such as real-time applications and general purpose applications, and, at the same time, must provide strong spatial and temporal isolation between independent software components. Therefore, state-of-the-art real-time operating systems focus mainly on predictability and bounded worst-case behavior. However, general purpose operating systems such as Linux often feature more efficient---but less deterministic---mechanisms that significantly improve the average execution time. This thesis addresses the combination of the two contradicting requirements and shows thread synchronization mechanisms with efficient average-case behavior, but without sacrificing predictability and worst-case behavior. This thesis explores and evaluates the design space of fast paths in the implementation of typical blocking synchronization mechanisms, such as mutexes, condition variables, counting semaphores, barriers, or message queues. The key technique here is to avoid unnecessary system calls, as system calls have high costs compared to other processor operations available in user space, such as low-level atomic synchronization primitives. In particular, the thesis explores futexes, the state-of-the-art design for blocking synchronization mechanisms in Linux that handles the uncontended case of thread synchronization by using atomic operations in user space and calls into the kernel only to suspend and wake up threads. The thesis also proposes non-preemptive busy-waiting monitors that use an efficient priority ceiling mechanism to prevent the lock holder preemption problem without using system calls, and according low-level kernel primitives to construct efficient wait and notify operations. The evaluation shows that the presented approaches improve the average performance comparable to state-of-the-art approaches in Linux. At the same time, a worst-case timing analysis shows that the approaches only need constant or bounded temporal overheads at the operating system kernel level. Exploiting these fast paths is a worthwhile approach when designing systems that not only have to fulfill real-time requirements, but also best-effort workloads.
Effects of damming and reservoir operation on hydrodynamics and thermal regimes in large cascade reservoirs of the Yangtze River, China (2021)
Long, Lianghong
Rivers play an important role in the global water cycle, support biodiversity and ecological integrity. However, river flow and thermal regimes are heavily altered in dammed rivers. These impacts are being exacerbated and become more apparent in rivers fragmented by multiple dams. Recent studies mainly focused on evaluating the cumulative impact of cascade reservoirs on flow or thermal regimes, but the role of upstream reservoirs in shaping the hydrology and hydrodynamics of downstream reservoirs remains poorly understood. To improve the understanding of the hydrodynamics in cascade reservoirs, long-term observational data are used in combination with numerical modeling to investigate the changes in flow and thermal regime in three cascade reservoirs at the upper reach of the Yangtze River. The three studied reservoirs are Xiluodu (XLD), Xiangjiaba (XJB) and Three Gorges Reservoir (TGR). In addition, the effects of single reservoir operation (at seasonal/daily time scale) on hydrodynamics are examined in a large tributary of TGR. The results show that the inflow of TGR has been substantially altered by the two upstream reservoirs with a higher discharge in spring and winter and a reduced peak flow in summer. XJB had no obvious contribution to the variations in inflow of TGR. The seasonal water temperature of TGR was also widely affected by the upstream two reservoirs, i.e., an increase in winter and decrease in spring, associated with a delay in water temperature rise and fall. These effects will probably be intensified in the coming years due to the construction of new reservoirs. The study also underlines the importance of reservoir operation in shaping the hydrodynamics of TGR. The seasonal dynamics of density currents in a tributary bay of TGR are closely related to seasonal reservoir operations. In addition, high-frequency water level fluctuations and flow velocity variations were observed in response to periodic tributary bay oscillations, which are driven by the diurnal discharge variations caused by the operation of TGR. As another consequence of operation of cascade reservoirs, the changes in TGR inflow weakened spring thermal stratification and caused warming in spring, autumn and winter. In response to this change, the intrusions from TGR occurred more frequently as overflow and earlier in spring, which caused a sharp reduction in biomass and frequency of phytoplankton blooms in tributary bays of TGR. This study suggests that high-frequency bay oscillations can potentially be used as an efficient management strategy for controlling algal blooms, which can be included in future multi-objective ecological conservation strategies.
A conflict over water in water abundant regions: The case of Lake Naivasha in Kenya and Lake Wamala in Uganda (2021)
Renner, Julia
Water is used in a way as if it were available infinitely. Droughts, increased rainfall or flooding already lead to water shortages and, thus, deprive entire population groups of the basis of their livelihoods. There is a growing fear that conflicts over water will increase, especially in arid climate zones, because life without water - whether for humans, animals or plants - is not possible. More than 60 % of the African population depend on land and water resources for their livelihoods through pastoralism, fishing and farming. The water levels of rivers and lakes are decreasing. Hence, the rural population which is dependent on land and water move towards water-rich and humid areas. This internal migration increases the pressure on available water resources. Driven by the desire to strengthen the economic development, African governments align their political agendas with the promotion of macro international and national economic projects. This doctoral thesis examines the complex interrelationships between water shortages, governance, vulnerability, adaptive capacity and violent and non-violent conflicts at Lake Naivasha in Kenya and Lake Wamala in Uganda. In order to satisfy the overall complexity, this doctoral thesis combines various theoretical and empirical aspects in which a variety of methods are applied to different geographical regions, across disciplines, and cultural and political boundaries. The investigation reveals that Lake Naivasha is more affected by violent conflicts than Lake Wamala. Reasons for this include population growth, historically grown ethnic conflicts, corruption and the preferential treatment of national and international economic actors. The most common conflict response tools are raiding and the blockage of water access. However, deathly encounters, destruction of property and cattle slaughtering are increasingly used to gain access to water and land. The insufficient implementation of the political system and the governments’ prioritization to foster economic development results, on the one hand, in the commercialization of water resources and increases, on the other hand, non-violent conflict between national and sub-national political actors. While corruption, economic favours and patronage defuse this conflict, resource access becomes more difficult for the local population. Resulting thereof, a final hypothesis is developed which states that the localization of the political conflict aggravates the water situation for the local population and, thereby, favours violent conflicts over water access and water use in water-rich areas.
Method development for the quantification of pharmaceuticals in aqueous environmental matrices (2021)
Boulard, Lise
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.
Out-of-school Education for Sustainable Development (ESD). A qualitative and quantitative study of the learning location landscape in Rhineland-Palatinate with special consideration on the effectiveness of ESD education measures. (2021)
Wittlich, Christian
There has been little research on out-of-school places of learning and their effec-tiveness in the context of ESD education measures. With the help of a multi-stage analysis, this study identifies out-of-school places of learning with reference to the ESD education concept in the Rhineland-Palatinate study area. To this end, qualita-tive literature analyses were first used to generate ESD criteria, which were opera-tionalised as a methodological instrument in the form of an ESD checklist for out-of-school places of learning. The data obtained in this way provide the basis for the creation of a geographically oriented learning location database with ESD refer-ence. A cartographic visualisation of the data results in a spatial distribution pattern: Thus, there are districts and cities that are well supplied with ESD learning loca-tions, but also real ESD learning location deserts where there is a need to catch up. Furthermore, there is an accumulation of ESD learning sites in areas close to for-ests. A guideline-based explorative interview with two ESD experts provides additional insights into the question of how ESD has been implemented in the federal state of Rhineland-Palatinate, the extent to which there is a need for optimisation, and which continuing measures are being taken for ESD outside schools within the framework of Agenda 2030. In addition, a quantitative questionnaire study was carried out with 1358 pupils at 30 out-of-school places of learning after participation in an educational measure, in which environmental awareness, attitudes towards environmental behaviour and local learning were also considered. By including non-ESD learning locations, a comparative study on the effectiveness of ESD learning locations became possible. The statistical data evaluation leads to a variety of interesting results. Contra-intuitively, for instance, the type of learning location (ESD or non-ESD learning lo-cation) is not a significant predictor for the environmental awareness and environ-mental behaviour of the surveyed students, whereas communication structures within educational measures at extracurricular learning locations, the multimediality and action orientation and the duration of educational measures have a significant influence. Keywords: extracurricular learning locations, education for sustainable develop-ment (ESD), ESD criteria, learning location landscape Rhineland-Palatinate, ESD learning locations, environmental awareness, environmental behaviour.
Identifizierung und Quantifizierung von Mikroplastik mittels quantitativer ¹H-NMR Spektroskopie (2021)
Peez, Nadine
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).
Accessing global value chains: The politics of promoting export-driven industrialisation and upgrading in the Mozambican cashew processing industry (2021)
Saulich, Christina Lisa
Successful export sectors in manufacturing and agribusiness are important drivers of structural transformation in Sub-Sahara African countries. Backed by industrial policies and active state involvement, a small number of successful productive export sectors has emerged in Sub-Saharan Africa. This thesis asks the question: How do politics shape the promotion of export-driven industrialisation and firm-level upgrading in Sub-Saharan Africa? It exemplifies this question with an in-depth, qualitative study of the cashew processing industry in Mozambique in the period from 1991 until 2019. Mozambique used to be one of the world’s largest producers and processors of cashew nuts in the 1960s and 1970s. At the end of the 20th century, the cashew processing industry broke down completely but has re-emerged as one of the country’s few successful agro-processing exports. The thesis draws on theoretical approaches from the fields of political science, notably the political settlements framework, global value chain analysis and the research on technological capabilities to explore why the Mozambican Government supported the cashew processing industry and how Mozambican cashew processors acquired the technological capabilities needed to access the global cashew value chain and to upgrade. It makes an important theoretical contribution by linking the political settlements framework and the literature on upgrading in global value chains to study how politics shaped productive sector promotion and upgrading in the Mozambican cashew processing industry. The findings of the thesis are based on extensive primary data, including 58 expert interviews and 10 firm surveys, that was collected in Mozambique in 2018 as well as a broad base of secondary literature. The thesis argues that the Mozambican Government supported the cashew processing industry because it became important for the Government’s political survival. Promoting the cashew sector formed part of an electoral strategy for the ruling FRELIMO coalition and a means to keep FRELIMO factions united by offering economic opportunities to key constituencies. In 1999, it adopted a protectionist cashew law that created strong incentives for cashew processing in Mozambique. This not only facilitated the re-emergence of the cashew processing industry after its breakdown. The law and the active involvement of the National Cashew Institute (INCAJU) also affected the governance of the local cashew value chain, the creation of backward linkages, and the upgrading paths of cashew processors. The findings of the thesis suggest that the cashew law reduced the pressure on the cashew processing industry to upgrade. The law further created opportunities for formal and informal rent creation for members of the political elite and lower level FRELIMO officials that prevented a far-reaching reform of the law. The thesis shows that international buyers do not promote upgrading among Sub-Sahara African firms in global value chains with market-based or modular governance. Moreover, firms that operate in countries where industrial policies are not enforced effectively cannot draw on the support of government institutions to enhance their capabilities and to upgrade. Firms therefore mainly depended on costly learning channels at firm level, e.g. learning by doing or hiring skilled labour, and/or on technical assistance from donors to build the technological capabilities needed to access global value chains and to remain competitive. The findings of the thesis suggest that researchers, governments, development practitioners and consultants need to rethink their understanding of upgrading in GVCs in four ways. First, they need to move away from understanding upgrading in terms of moving towards more complex, higher value-added activities in GVCs (functional upgrading). Instead, it is important to consider the potential of other, more realistic types of upgrading for firms in low-income countries, such reducing risks by diversifying suppliers and buyers or increasing rewards by making production processes more efficient. Second, they need to replace an overly positive view on upgrading that neglects possible side-effects at sector and/or country level. Third, GVC participation on its own does not promote upgrading among local supplier firms in Sub-Saharan Africa. The interests of lead firms and Sub-Sahara African supplier firms may not be aligned or even conflicting. Targeted industrial policies and the creation of institutions that effectively promote capability building among firms therefore become even more important. Finally, upgrading needs to be understood as a process that is not only shaped by interactions between firms, but also by local domestic politics. The findings of the thesis are highly relevant for scholars from the fields of political science, development studies, and economics. Its practical implications and tools, e.g. a technological capabilities matrix for the cashew industry, are of interest for development practitioners, members of public institutions in Sub-Sahara African countries, local entrepreneurs, and representatives of local business associations that are involved in promoting export sectors and upgrading among local firms.
Handling Inconsistency in Business Rule Bases (2021)
Corea, Carl
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
Trace organic chemicals in the water cycle (2021)
Hermes, Nina
Water scarcity is already an omnipresent problem in many parts of the world, especially in sub-Saharan Africa. The dry years 2018 and 2019 showed that also in Germany water resources are finite. Projections and predictions for the next decades indicate that renewal rates of existing water resources will decline due the growing influence of climate change, but that water extraction rates will increase due to population growth. It is therefore important to find alternative and sustainable methods to make optimal use of the water resources currently available. For this reason, the reuse of treated wastewater for irrigation and recharge purposes has become one focus of scientific research in this field. However, it must be taken into account that wastewater contains so-called micropollutants, i.e., substances of anthropogenic origin. These are, e.g., pharmaceuticals, pesticides and industrial chemicals which enter the wastewater, but also metabolites that are formed in the human body from pharmaceuticals or personal care products. Through the treatment in wastewater treatment plants (WWTPs) as well as through chemical, biological and physical processes in the soil passage during the reuse of water, these micropollutants are transformed to new substances, known as transformation products (TPs), which further broaden the number of contaminants that can be detected within the whole water cycle. Despite the fact that the presence of human metabolites and environmental TPs in untreated and treated wastewater has been known for a many years, they are rarely included in common routine analysis methods. Therefore, a first goal of this thesis was the development of an analysis method based on liquid chromatography - tandem mass spectrometry (LC-MS/MS) that contains a broad spectrum of frequently detected micropollutants including their known metabolites and TPs. The developed multi-residue analysis method contained a total of 80 precursor micropollutants and 74 metabolites and TPs of different substance classes. The method was validated for the analysis of different water matrices (WWTP influent and effluent, surface water and groundwater from a bank filtration site). The influence of the MS parameters on the quality of the analysis data was studied. Despite the high number of analytes, a sufficient number of datapoints per peak was maintained, ensuring a high sensitivity and precision as well as a good recovery for all matrices. The selection of the analytes proved to be relevant as 95% of the selected micropollutants were detected in at least one sample. Several micropollutants were quantified that were not in the focus of other current multi-residue analysis methods (e.g. oxypurinol). The relevance of including metabolites and TPs was demonstrated by the frequent detection of, e.g., clopidogrel acid and valsartan acid at higher concentrations than their precursors, the latter even being detected in samples of bank filtrate water. By the integration of metabolites, which are produced in the body by biological processes, and biological and chemical TPs, the multi-residue analysis method is also suitable for elucidating degradation mechanisms in treatment systems for water reuse that, e.g., use a soil passage for further treatment. In the second part of the thesis, samples from two treatment systems based on natural processes were analysed: a pilot-scale above-ground sequential biofiltration system (SBF) and a full-scale soil aquifer treatment (SAT) site. In the SBF system mainly biological degradation was observed, which was clearly demonstrated by the detection of biological TPs after the treatment. The efficiency of the degradation was improved by an intermediate aeration, which created oxic conditions in the upper layer of the following soil passage. In the SAT system a combination of biodegradation and sorption processes occurred. By the different behaviour of some biodegradable micropollutants compared to the SBF system, the influence of redox conditions and microbial community was observed. An advantage of the SAT system over the SBF system was found in the sorption capacity of the natural soil. Especially positively charged micropollutants showed attenuation due to ionic interactions with negatively charged soil particles. Based on the physicochemical properties at ambient pH, the degree of removal in the investigated systems and the occurrence in the source water, a selection of process-based indicator substances was proposed. Within the first two parts of this thesis a micropollutant was frequently detected at elevated concentrations in WWTPs effluents, which was not previously in the focus of environmental research: the antidiabetic drug sitagliptin (STG). STG showed low degradability in biological systems and thus it was investigated to what extend chemical treatment by ozonation can ensure attenuation of it. STG contains an aliphatic primary amine as the principal point of attack for the ozone molecule. There is only limited information about the behaviour of this functional group during ozonation and thus, STG served as an example for other micropollutants containing aliphatic primary amines. A pH-dependent degradation kinetic was observed due to the protonation of the primary amine at lower pH values. At pH values in the range 6 - 8, which is typical for the environment and in WWTPs, STG showed degradation kinetics in the range of 103 M-1s-1 and thus belongs to the group of readily degradable substances. However, complete degradation can only be expected at significantly higher pH values (> 9). The transformation of the primary amine moiety into a nitro group was observed as the major degradation mechanism for STG during ozonation. Other mechanisms involved the formation of a diketone, bond breakages and the formation of trifluoroacetic acid (TFA). Investigations at a pilot-scale ozonation plant using the effluent of a biological degradation of a municipal WWTP as source water confirmed the results of the laboratory studies: STG could not be removed completely even at high ozone doses and the nitro compound was formed as the main TP and remained stable during further ozonation and subsequent biological treatment. It can therefore be assumed that under realistic conditions both a residual concentration of STG and the formed main TP as well as other stable TPs such as TFA can be detected in the effluents of a WWTP consisting of conventional biological treatment followed by ozonation and subsequent biological polishing steps.
Type-safe Programming for the Semantic Web (2021)
Leinberger, Martin
Graph-based data formats are flexible in representing data. In particular semantic data models, where the schema is part of the data, gained traction and commercial success in recent years. Semantic data models are also the basis for the Semantic Web - a Web of data governed by open standards in which computer programs can freely access the provided data. This thesis is concerned with the correctness of programs that access semantic data. While the flexibility of semantic data models is one of their biggest strengths, it can easily lead to programmers accidentally not accounting for unintuitive edge cases. Often, such exceptions surface during program execution as run-time errors or unintended side-effects. Depending on the exact condition, a program may run for a long time before the error occurs and the program crashes. This thesis defines type systems that can detect and avoid such run-time errors based on schema languages available for the Semantic Web. In particular, this thesis uses the Web Ontology Language (OWL) and its theoretic underpinnings, i.e., description logics, as well as the Shapes Constraint Language (SHACL) to define type systems that provide type-safe data access to semantic data graphs. Providing a safe type system is an established methodology for proving the absence of run-time errors in programs without requiring execution. Both schema languages are based on possible world semantics but differ in the treatment of incomplete knowledge. While OWL allows for modelling incomplete knowledge through an open-world semantics, SHACL relies on a fixed domain and closed-world semantics. We provide the formal underpinnings for type systems based on each of the two schema languages. In particular, we base our notion of types on sets of values which allows us to specify a subtype relation based on subset semantics. In case of description logics, subsumption is a routine problem. For the type system based on SHACL, we are able to translate it into a description logic subsumption problem.
Mitigation of plastic consumption (2021)
Heidbreder, Lea Marie
We are living in a world where environmental crises come to a head. To curb aggravation of these problems, a socio-ecological transformation within society is needed, going along with human behavior change. How to encourage such behavior changes on an individual level is the core issue of this dissertation. It takes a closer look at the role of individuals as consumers resulting in purchase decisions with more or less harmful impact on the environment. By using the example of plastic pollution, it takes up a current environmental problem and focuses on an understudied behavioral response to this problem, namely reduction behavior. More concrete, this dissertation examines which psychological factors can encourage the mitigation of plastic packaging consumption. Plastic packaging accounts for the biggest amount of current plastic production and is associated with products of daily relevance. Despite growing awareness of plastic pollution in society, behavioral responses do not follow accordingly and plastic consumption is still very high. As habits are often a pitfall when implementing more resource-saving behavior, this dissertation further examines if periods of discontinuity can open a ’window of opportunity’ to break old habits and facilitate behavior change. Four manuscripts approach this matter from the gross to the subtle. Starting with a literature review, a summary of 187 studies addresses the topic of plastic pollution and human behavior from a societal-scientific perspective. Based on this, a cross-sectional study (N = 648) examines the deter-minants of plastic-free behavior intentions in the private-sphere and public-sphere by structural equation modeling. Two experimental studies in pre-post design build upon this, by integrating the determinants in intervention studies. In addition, it was evaluated if the intervention presented during Lent (N = 140) or an action month of ‘Plastic Free July’ (N = 366) can create a ‘window of opportunity’ to mitigate plastic packaging consumption. The literature review emphasized the need for research on behavioral solutions to reduce plastic consumption. The empirical results revealed moral and control beliefs to be the main determinants of reduction behavior. Furthermore, the time point of an intervention influenced the likelihood to try out the new behavior. The studies gave first evidence that a ‘window of opportunity’ can facilitate change towards pro-environmental behavior within the application field of plastic consumption. Theoretical and practical implications of creating the right opportunity for individuals to contribute to a socio-ecological transformation are finally discussed.
Ontologie-basierte Informationsintegration in der Form eines Social Network of Business Objects (SoNBO) (2021)
Gebel-Sauer, Berit
The flexible integration of information from distributed and complex information systems poses a major challenge for organisations. The ontology-based information integration concept SoNBO (Social Network of Business Objects) developed and presented in this dissertation addresses these challenges. In an ontology-based concept, the data structure in the source systems (e.g. operational application systems) is described with the help of a schema (= ontology). The ontology and the data from the source systems can be used to create a (virtualised or materialised) knowledge graph, which is used for information access. The schema can be flexibly adapted to the changing needs of a company regarding their information integration. SoNBO differs from existing concepts known from the Semantic Web (OBDA = Ontology-based Data Access, EKG = Enterprise Knowledge Graph) both in the structure of the company-specific ontology (= Social Network of Concepts) as well as in the structure of the user-specific knowledge graph (= Social Network of Business Objects) and makes use of social principles (known from Enterprise Social Software). Following a Design Science Research approach, the SoNBO framework was developed and the findings documented in this dissertation. The framework provides guidance for the introduction of SoNBO in a company and the knowledge gained from the evaluation (in the company KOSMOS Verlag) is used to demonstrate its viability. The results (SoNBO concept and SoNBO framework) are based on the synthesis of the findings from a structured literature review and the investigation of the status quo of ontology-based information integration in practice: For the status quo in practice, the basic idea of SoNBO is demonstrated in an in-depth case study about the engineering office Vössing, which has been using a self-developed SoNBO application for a few years. The status quo in the academic literature is presented in the form of a structured literature analysis on ontology-based information integration approaches. This dissertation adds to theory in the field of ontology-based information integration approaches (e. g. by an evaluated artefact) and provides an evaluated artefact (the SoNBO Framework) for practice.
Leadership and Artificial Intelligence (2021)
Bings, Jan ; Schwenkmezger, Marvin
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
Social Collaboration Analytics: A Framework for Measuring Collaboration Activities in Enterprise Collaboration Systems (2021)
Schwade, Florian
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.
Junges Forschen der Universität in Koblenz (2020)
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: Exner, Maik. Bedeutung und Musik: Konstitutionsprozesse von musikkulturellen Bedeutungen und Bedeutsamkeiten in interaktionaler, biographischer und historischer Perspektive. Henne, Arthur. Analysis of the Transition from Traditional Closed Innovation Systems to Open Innovation. von Schönebeck, Sandra. #TrauDichDeutschland: Die Sprache der AfD im multimodalen (Online-) Bundestagswahlkampf 2017 – Eine Untersuchung sprachlicher und visueller Strategien sowie der Reaktionen potenzieller Wählerinnen und Wähler. Michaelis, Kent. Das “Templerhaus” in Boppard: Kunsthistorische Untersuchung eines spätromanischen Baudenkmals. Koops, Sarah M. J.. Lässt sich eine Obergrenze für die Aufnahme von Flüchtlingen durch Nationalstaaten ethisch rechtfertigen?. Rosemann, Raphaela S.. Masquerade and Disguise in the Works of Eliza Haywood.
What impedes Consumers’ Delivery Drone Service Adoption? (2020)
Knobloch, Marius ; Schaarschmidt, Mario
Despite widespread plans of big companies like Amazon and Google to develop unmanned delivery drones, scholarly research in this field is scarce, especially in the information systems field. From technical and legal perspectives, drone delivery in last-mile scenarios is in a quite mature state. However, estimates of user acceptance are varying between high skepticism and exaggerated optimism. This research follows a mixed method approach consisting both qualitative and quantitative research, to identify and test determinants of consumer delivery drone service adoption. The qualitative part rests on ten interviews among average consumers, who use delivery services on a regular basis. Insights gained from the qualitative part were used to develop an online survey and to assess the influence of associated risks on adoption intentions. The quantitative results show that especially financial and physical risks impede drone delivery service adoption. Delivery companies who are currently thinking about providing a delivery drone service may find these results useful when evaluating usage behaviors in the future market for delivery drones.
GeKOS - Gemeinsam entdecken Kinder ihren Ort mit Studierenden, 4. Zwischenbericht (2020)
de Boer, Heike ; Braß, Benjamin ; Falmann, Peter
Dieses Dokument umfasst den dritten Zwischenbericht zum Projekt GeKOS – Gemeinsam entdecken Kinder ihren Ort mit Studierenden, der im Oktober 2019 an die Schöpflin-Stiftung übergeben wurde. Das Projekt GeKOS wird vom Ministerium für Wissenschaft, Weiterbildung und Kultur des Landes Rheinland-Pfalz im Rahmen der Programmbudgets Hochschulpakt III sowie von der Schöpflin-Stiftung mit Sitz in Lörrach von 2016 bis 2020 finanziell gefördert. Zudem gewährte das rheinland-pfälzische Ministerium für Integration, Familie, Kinder, Jugend und Frauen im Jahr 2015 eine Anschubfinanzierung.
Mitteilungsblatt der Universität Koblenz-Landau Nr. 1/2020 (2020)
Satzung für den steuerbegünstigten Betrieb gewerblicher Art: Kinderbetreuungseinrichtungen Redaktionelle Korrektur betreffend die Dritte Ordnung zur Änderung der Ordnung für die Prüfung im Bachelorstudiengang und im Masterstudiengang Erziehungswissenschaft an der Universität Koblenz-Landau, Campus Landau Ordnung zur Änderung der Beitragsordnung des Studierendenwerks Koblenz Siebte Ordnung zur Änderung der Prüfungsordnung für den Bachelorstudiengang und den Masterstudiengang „Sozial- und Kommunikationswissenschaften“ des Fachbereichs 6: Kultur- und Sozialwissenschaften an der Universität Koblenz-Landau Sechsundzwanzigste Ordnung zur Änderung der Prüfungsordnung für die Prüfung im lehramtsbezogenen Bachelorstudiengang an der Universität Koblenz-Landau
Mitteilungsblatt der Universität Koblenz-Landau Nr. 2/2020 (2020)
Erste Ordnung zur Änderung der Promotionsordnung des Fachbereiches 1: Bildungswissenschaften der Universität Koblenz–Landau Siebte Satzung zur Änderung der Satzung der Universität Koblenz-Landau über das Auswahlverfahren in zulassungsbeschränkten Studiengängen
Technologiefrüherkennung im Umfeld der Railways Diagnostic and Monitoring Technologies (2020)
Ory, Leon
This thesis deals with the approach, the structure and the variety of methods in the field of technology forecasting. Furthermore insights into the environment of Railways Diagnostics and Monitoring Technologies (RDMT), their technology management and industryspecific requirements for technology forecasting (especially in the area SMEs) are given. Combining those a recommendation for practical use of research results in companies of this size and industry is developed. In order to initiate the previously mentioned research elements a literature research was operated in the field of innovation management and the railway environment. In addition, an interview with an expert of a medium-sized technology manufacturer of RDMT industry was performed. The most important finding was that a single method cannot fulfill the requirements on its own, thus a combination of methods and organizational forms is necessary to achieve an effective technology forecasting.
Analyse zur Schätzung von Unfallkosten im Schienenverkehr in Deutschland (2020)
Gilles, Oliver
Accidents annually cause high economic damages for concerned persons, companies and the state. To determine the exact costs of a damage is a challenge. Scientific studies differ from each other because of different models of calculation. Due to the fact of a low number of accidents concerning rail transport there are not many studies about how to calculate the costs an accident causes. The aim of this thesis is to give an overview about methods when dealing with these costs and to point out occurring difficulties. Generally, costs of accident can be divided in two categories. One category deals with personal injuries whereas the other focuses on material damages. Personal injuries contain material and immaterial damages. This leads to difficulties in calculation. The main aspect when dealing with personal damages is the loss of manpower, the costs of medical supply and the costs of the recovery of the legal situation. Currently there is no model of how to calculate personal damages concerning rail transport in Germany. The “Bundesamt für Straßenverkehr” developed an extensive model for calculations of costs of accident concerning traffic. It turned out that the death of people has costs round about 1.1 million euro. Severely and slightly injured people cause damages about 106,000 euro and 5,000 euro. This thesis declares that the model is important regarding different aspects of rail transport and that it is based on statistically collected key performance indicators. Furthermore, some approaches, which analyse the value of life, are mentioned. There are large derivations between them. To make a calculation of material damage the current value of the object must be respected. When dealing with the limitation of material damages the focus is on damages concerning infrastructure. In addition, railway infrastructure can be mentioned. With the help of the “Kostenkennwertekatalog” of Deutsche Bahn AG acquisitions costs for certain components of infrastructure can be determined. As a result, they offer a basis for calculating damages.
Evaluation der Einsatz- und Forschungsgebiete von Predictive Maintenance anhand einer qualitativen Videoanalyse (2020)
Wick, Natalie
The maintenance strategy “predictive maintenance”, which is characterized by predicting the failure behavior of technical units based on modern sensor technology, plays a key role in smart factories against the background of an industry 4.0. This paper contains an evaluation of the current state of research on this strategy and gives an overview of the areas of application to date. With the aid of a qualitative video analysis, the implementation in the industries and company divisions involved and the type of goods monitored are examined. The analyzed video clips were uploaded to YouTube for example for marketing purposes by various companies with different perspectives on predictive maintenance. The video analysis was realized by applying a previously defined coding plan to the video material. The results show a predominant application in the manufacturing industry, in which predictive maintenance is used to monitor plants and machines. In addition, the strategy is also mainly applied to means of transport used for freight and passenger transport in various infrastructures. As a result of the video analysis, the currently high need for explanation of predictive maintenance becomes visible. By looking at these explanations, one also learns something about the special features that distinguish it from other maintenance strategies.
Grundlagen der Systemtheorie zur Anwendung transdisziplinärer Verfahren der Technikfolgenabschätzung (2020)
Kowalczyk, Michaela
The technological progress is highly responsible for how people live their everyday life. Technical innovations provide new opportunities to re-design all areas of life and because of that the society has to adjust to these changes permanently. These days, due to the fact that there is a changeover from analog into digital processes, this circumstance is highly relevant. However, it is not always clear whether a technological innovation just entails chances or involves risks, too. The research field of technology assessment pursues the goal to examine the influence of technological innovations on the society. For this purpose, unpredictable consequences of a technology need to be anticipated in advance to provide the opportunity of earlier reactions. The core of this thesis a discussion about a project based approach of technology assessment. Additionally, it is being investigated whether and how systems theory approaches can be used to improve predictions in the research area of technology assessment. Therefore, the question of how reliable forecasts are in this kind of context will be answered. Moreover, there is an investigation if an added-value can be created through performing system thinking. As a methodical approach a literature review has been performed. Furthermore, experts were questioned in an interview and by e-mail to gain an insight in the practical work of technology assessment. Based on the elaborated project structure, for each part of the project was examined if significant results can be maintained through the sophisticated use of principles of the systems theory. The analysis of this paper has shown that the results of a technology assessment may have more reliable forecast value in comparison to an investigation without proper consideration of system thinking. Especially, the understanding of a system during the phase of conception of a project can be crucial for the positive outcome for the results of technology assessment. This master thesis represents the theoretical point of view regarding topics technology assessment and systems theory. An application test for the validation of the results in the practical work of technology assessment is recommended.
Railway Safety Research – A Cross-Disciplinary Literature Review (2020)
Schneider, André
Railway safety is a topic which gains the public attention only if major railway accidents happen. This is because railway is considered as a safe mode of travel by the public. However, to ensure the safety of the railway system railway companies as well as universities conduct a broad spectrum of research. An overview of this research has not yet been provided in the scholarly literature. Therefore, this thesis follows two objectives. First an overview and ranking of railway safety research universities should be provided. Second, based on these universities, it should be identified which are the most relevant and influential research topics. The ranking is based on the research method “literature review” which forms the methodical basis for this thesis. To evaluate the universities based on a measurable and objective criterion, the number of citations of the researchers from each university is gathered. As a result, the University of Leuven for the civil engineering, Milan Politechnico for mechanical enginering and the University of Loughborough for electrical engineering are identified as the leading university in their field of railway safety research. The top universities for each discipline are distributed all over Europe, North America and Asia. However, a clear focus on the US and British universities is observed. For identification of the most relevant and influential topics the keywords from the publications which are considered in the ranking procedure are analyzed. Focus areas among these keywords are revealed by calculating the count of each keyword. High-speed trains as well as maintenance are recognized as the highly relevant topics in both civil and mechanical engineering. Furthermore, the topic of railway dynamics for mechanical engineering and noise and vibration for civil engineering are identified as the leading topics in the respective discipline. Achieving both research goals required exploratory approaches. Therefore, this thesis leaves open space for future research to deepen the individual topics which are approached in each section. A validation of the results through experts interviews as well as a deepening of the analysis through increasing the number of analyzed universities as well as applying statistical methods is recommended.
Potenziale der Digitalisierung für kleine und mittlere Unternehmen (2020)
Hohl, Fabienne
Digital Transformation is a main enabler for technological change in today’s society and corporate structures. Companies of all sizes have to face up the change. The com-plexity of the innovations is constantly growing. More and more information and knowledge are needed to build a basis for renewal. Different capabilities, such as highly qualified employees, material resources and the correct handling with these information, constitute the background for the advancement. Compared to large companies, small and medium sized companies (SMEs) are struggling more with these circum-stances. This leaves potential capabilities to optimize daily routines unused. Challenges here are different internal and external barriers. Examples for that are the lack of IT expertise and innovation culture. Hence it is very important, to show SMEs the advantages of the innovation process within the scope of digital transformation. Cost savings, improvement of IT infrastructure or optimization of their business processes, are drivers that should be adopted in the awareness of SMEs. Recommendations for action are needed, also with the support of information management. This includes information management, strategic management for external an internal information and the selection of an appropriate IT infrastructure. However dynamic management skills and sufficient IT expertise also complement the digitization process. This becomes clear from the literature analysis following the principles of Webster and Watson (2002). The Concept mapping and the concept matrix serves to support the process. They are presenting the key words and showing the most important works of the bachelor thesis. The argumentation of the bachelor thesis based on this.
Model-based privacy by design (2020)
Ahmadian, Amirshayan
Nowadays, almost any IT system involves personal data processing. In such systems, many privacy risks arise when privacy concerns are not properly addressed from the early phases of the system design. The General Data Protection Regulation (GDPR) prescribes the Privacy by Design (PbD) principle. As its core, PbD obliges protecting personal data from the onset of the system development, by effectively integrating appropriate privacy controls into the design. To operationalize the concept of PbD, a set of challenges emerges: First, we need a basis to define privacy concerns. Without such a basis, we are not able to verify whether personal data processing is authorized. Second, we need to identify where precisely in a system, the controls have to be applied. This calls for system analysis concerning privacy concerns. Third, with a view to selecting and integrating appropriate controls, based on the results of system analysis, a mechanism to identify the privacy risks is required. Mitigating privacy risks is at the core of the PbD principle. Fourth, choosing and integrating appropriate controls into a system are complex tasks that besides risks, have to consider potential interrelations among privacy controls and the costs of the controls. This thesis introduces a model-based privacy by design methodology to handle the above challenges. Our methodology relies on a precise definition of privacy concerns and comprises three sub-methodologies: model-based privacy analysis, modelbased privacy impact assessment and privacy-enhanced system design modeling. First, we introduce a definition of privacy preferences, which provides a basis to specify privacy concerns and to verify whether personal data processing is authorized. Second, we present a model-based methodology to analyze a system model. The results of this analysis denote a set of privacy design violations. Third, taking into account the results of privacy analysis, we introduce a model-based privacy impact assessment methodology to identify concrete privacy risks in a system model. Fourth, concerning the risks, and taking into account the interrelations and the costs of the controls, we propose a methodology to select appropriate controls and integrate them into a system design. Using various practical case studies, we evaluate our concepts, showing a promising outlook on the applicability of our methodology in real-world settings.
Environmental processes transforming inorganic nanoparticles: implications on aquatic invertebrates (2020)
Lüderwald, Simon
Engineered inorganic nanoparticles (EINPs) are produced and utilized on a large scale and will end up in surface waters. Once in surface waters, EINPs are subjected to transformations induced by environmental processes altering the particles’ fate and inherent toxicity. UV irradiation of photoactive EINPs is defined as one effect-inducing pathway, leading to the formation of reactive oxygen species (ROS), increasing EINP toxicity by exerting oxidative stress in aquatic life. Simultaneously, UV irradiation of photoactive EINP alters the toxicity of co-occurring micropollutants (e.g. pesticides) by affecting their degradation. The presence of natural organic matter (NOM) reduces the agglomeration and sedimentation of EINPs, extending the exposure of pelagic species, while delaying the exposure of benthic species living in and on the sediment, which is suggested as final sink for EINPs. However, the joint impact of NOM and UV irradiation on EINP-induced toxicity, but also EINP-induced degradation of micropollutants, and the resulting risk for aquatic biota, is poorly understood. Although potential effects of EINPs on benthic species are increasingly investigated, the importance of exposure pathways (waterborne or dietary) is unclear, along with the reciprocal pathway of EINPs, i.e. the transport back from aquatic to terrestrial ecosystems. Therefore, this thesis investigates: (i) how the presence of NOM affects the UV-induced toxicity of the model EINP titanium dioxide (nTiO2) on the pelagic organism Daphnia magna, (ii) to which extent UV irradiation of nTiO2 in the presence and absence of NOM modifies the toxicity of six selected pesticides in D. magna, (iii) potential exposure pathway dependent effects of nTiO2 and silver (nAg) EINPs on the benthic organism Gammarus fossarum, and (iv) the transport of nTiO2 and gold EINPs (nAu) via the merolimnic aquatic insect Chaetopteryx villosa back to terrestrial ecosystems. nTiO2 toxicity in D. magna increased up to 280-fold in the presence of UV light, and was mitigated by NOM up to 12-fold. Depending on the pesticide, UV irradiation of nTiO2 reduced but also enhanced pesticide toxicity, by (i) more efficient pesticide degradation, and presumably (ii) formation of toxic by-products, respectively. Likewise, NOM reduced and increased pesticide toxicity, induced by (i) protection of D. magna against locally acting ROS, and (ii) mitigation of pesticide degradation, respectively. Gammarus’ energy assimilation was significantly affected by both EINPs, however, with distinct variation in direction and pathway dependence between nTiO2 and nAg. EINP presence delayed C. villosa emergence by up to 30 days, and revealed up to 40% reduced lipid reserves, while the organisms carried substantial amounts of nAu (~1.5 ng/mg), and nTiO2 (up to 2.7 ng/mg). This thesis shows, that moving test conditions of EINPs towards a more field-relevant approach, meaningfully modifies the risk of EINPs for aquatic organisms. Thereby, more efforts need to be made to understand the relative importance of EINP exposure pathways, especially since a transferability between different types of EINPs may not be given. When considering typically applied risk assessment factors, adverse effects on aquatic systems might already be expected at currently predicted environmental EINP concentrations in the low ng-µg/L range.
Deep learning techniques applied to constituency parsing of German (2020)
Rajasekaran, Kandhasamy
Constituent parsing attempts to extract syntactic structure from a sentence. These parsing systems are helpful in many NLP applications such as grammar checking, question answering, and information extraction. This thesis work is about implementing a constituent parser for German language using neural networks. Over the past, recurrent neural networks have been used in building a parser and also many NLP applications. In this, self-attention neural network modules are used intensively to understand sentences effectively. With multilayered self-attention networks, constituent parsing achieves 93.68% F1 score. This is improved even further by using both character and word embeddings as a representation of the input. An F1 score of 94.10% was the best achieved by constituent parser using only the dataset provided. With the help of external datasets such as German Wikipedia, pre-trained ELMo models are used along with self-attention networks achieving 95.87% F1 score.
Study on Data Placement Strategies in Distributed RDF Stores (2020)
Janke, Daniel
The distributed setting of RDF stores in the cloud poses many challenges. One such challenge is how the data placement on the compute nodes can be optimized to improve the query performance. To address this challenge, several evaluations in the literature have investigated the effects of existing data placement strategies on the query performance. A common drawback in theses evaluations is that it is unclear whether the observed behaviors were caused by the data placement strategies (if different RDF stores were evaluated as a whole) or reflect the behavior in distributed RDF stores (if cloud processing frameworks like Hadoop MapReduce are used for the evaluation). To overcome these limitations, this thesis develops a novel benchmarking methodology for data placement strategies that uses a data-placement-strategy-independent distributed RDF store to analyze the effect of the data placement strategies on query performance. With this evaluation methodology the frequently used data placement strategies have been evaluated. This evaluation challenged the commonly held belief that data placement strategies that emphasize local computation, such as minimal edge-cut cover, lead to faster query executions. The results indicate that queries with a high workload may be executed faster on hash-based data placement strategies than on, e.g., minimal edge-cut covers. The analysis of the additional measurements indicates that vertical parallelization (i.e., a well-distributed workload) may be more important than horizontal containment (i.e., minimal data transport) for efficient query processing. Moreover, to find a data placement strategy with a high vertical parallelization, the thesis tests the hypothesis that collocating small connected triple sets on the same compute node while balancing the amount of triples stored on the different compute nodes leads to a high vertical parallelization. Specifically, the thesis proposes two such data placement strategies. The first strategy called overpartitioned minimal edge-cut cover was found in the literature and the second strategy is the newly developed molecule hash cover. The evaluation revealed a balanced query workload and a high horizontal containment, which lead to a high vertical parallelization. As a result these strategies showed a better query performance than the frequently used data placement strategies.
Analysis of medical images using deep learning (2020)
Utegulov, Almat
Since the invention of U-net architecture in 2015, convolutional networks based on its encoder-decoder approach significantly improved results in image analysis challenges. It has been proven that such architectures can also be successfully applied in different domains by winning numerous championships in recent years. Also, the transfer learning technique created an opportunity to push state-of-the-art benchmarks to a higher level. Using this approach is beneficial for the medical domain, as collecting datasets is generally a difficult and expensive process. In this thesis, we address the task of semantic segmentation with Deep Learning and make three main contributions and release experimental results that have practical value for medical imaging. First, we evaluate the performance of four neural network architectures on the dataset of the cervical spine MRI scans. Second, we use transfer learning from models trained on the Imagenet dataset and compare it to randomly initialized networks. Third, we evaluate models trained on the bias field corrected and raw MRI data. All code to reproduce results is publicly available online.
Mitteilungsblatt der Universität Koblenz-Landau Nr. 4/2019 (2020)
Erste Ordnung zur Änderung der Satzung der örtlichen Studierendenschaft an der Universität Koblenz-Landau, Campus Landau Ordnung zur Änderung der Ordnung zur Qualitätssicherung und -entwicklung in Studium und Lehre an der Universität Koblenz-Landau Zwölfte Ordnung zur Änderung der Prüfungsordnung für die Prüfung im lehramtsbezogenen Bachelorstudiengang Berufsbildende Schulen an der Universität Koblenz-Landau, der Hochschule Koblenz und der Philosophisch-Theologischen Hochschule Vallendar Elfte Ordnung zur Änderung der Ordnung für die Prüfung im Masterstudiengang Lehramt an berufsbildenden Schulen an der Universität Koblenz-Landau, der Hochschule Koblenz und der Philosophisch-Theologischen Hochschule Vallendar Zwanzigste Ordnung zur Änderung der Ordnung für die Prüfung im lehramtsbezogenen Zertifikatsstudiengang (Erweiterungsprüfung) an der Universität Koblenz-Landau und der Hochschule Koblenz Fünfte Ordnung zur Änderung der Ordnung für die Prüfung im Bachelorstudiengang und im Masterstudiengang Erziehungswissenschaft an der Universität Koblenz-Landau, Campus Landau Achte Ordnung zur Änderung der Ordnung für die Prüfung im Bachelorstudiengang Umweltwissenschaften und in den Masterstudiengängen Umweltwissenschaften / Environmental Sciences und Ecotoxicology an der Universität Koblenz-Landau, Campus Landau Fünfundzwanzigste Ordnung zur Änderung der Prüfungsordnung für die Prüfung im lehramtsbezogenen Bachelorstudiengang an der Universität Koblenz-Landau Zweiundzwanzigste Ordnung zur Änderung der Prüfungsordnung für die Prüfung in den Masterstudiengängen für das Lehramt an Grundschulen, das Lehramt an Realschulen plus, das Lehramt an Förderschulen sowie das Lehramt an Gymnasien an der Universität Koblenz-Landau Neunzehnte Ordnung zur Änderung der Prüfungsordnung für die Prüfung im Zwei-Fach-Bachelorstudiengang an der Universität Koblenz-Landau Erste Ordnung zur Änderung der Prüfungsordnung für die Bachelor- und Masterstudiengänge des Fachbereichs Informatik an der Universität Koblenz-Landau
Gel effect induced by mucilage in the pore space and consequences on soil physical properties (2020)
Brax, Mathilde
Water uptake, respiration and exudation are some of the biological functions fulfilled by plant roots. They drive plant growth and alter the biogeochemical parameters of soil in the vicinity of roots, the rhizosphere. As a result, soil processes such as water fluxes, carbon and nitrogen exchanges or microbial activity are enhanced in the rhizosphere in comparison to the bulk soil. In particularly, the exudation of mucilage as a gel-like substance by plant roots seems to be a strategy for plants to overcome drought stress by increasing soil water content and soil unsaturated hydraulic conductivity at negative water potentials. Although the variations of soil properties due to mucilage are increasingly understood, a comprehensive understanding of the mechanisms in the pore space leading to such variations is lacking. The aim of this work was to elucidate the gel properties of mucilage in the pore space, i.e. interparticulate mucilage, in order to link changes of the physico-chemical properties in the rhizosphere to mucilage. The fulfilment of this goal was confronted to the three following challenges: The lack of methods for in situ detection of mucilage in soil; The lack of knowledge concerning the properties of interparticulate mucilage; The unknown relationship between the composition and the properties of model substances and root mucilage produced by various species. These challenges are addressed in several chapters. In a first instance, a literature review picked information from various scientific fields about methods enabling the characterization of gels and gel phases in soil. The variation of soil properties resulting from biohydrogel swelling in soil was named the gel effect. The combined study of water entrapment of gels and gel phases in soil and soil structural properties in terms of mechanical stability or visual structures proved promising to disentangle the gel effect in soil. The acquired methodical knowledge was used in the next experiments to detect and characterize the properties of interparticulate gel. 1H NMR relaxometry allows the non-invasive measure of water mobility in porous media. A conceptual model based on the equations describing the relaxation of water protons in porous media was developed to integrate the several gel effects into the NMR parameters and quantify the influence of mucilage on proton relaxation. Rheometry was additionally used to assess mucilage viscosity and soil microstructural stability and ESEM images to visualize the network of interparticulate gel. Combination of the results enabled to identify three main interparticulate gel properties: The spider-web effect restricts the elongation of the polymer chains due to the grip of the polymer network to the surface of soil particles. The polymer network effect illustrates the organization of the polymer network in the pore space according to the environment. The microviscosity effect describes the increased viscosity of interparticulate gel in contrast to free gel. The impact of these properties on soil water mobility and microstructural stability were investigated. Consequences on soil hydraulic and soil mechanical properties found in the literature are further discussed. The influence of the chemical properties of polymers on gel formation mechanism and gel properties was also investigated. For this, model substances with various uronic acid content, degree of esterification and amount of calcium were tested and their amount of high molecular weight substances was measured. The substances investigated included pectic polysaccharides and chia seed mucilage as model polymers and wheat and maize root mucilage. Polygalacturonic acid and low-methoxy pectin proved as non-suitable model polymers for seed and root mucilage as ionic interactions with calcium control their properties. Mucilage properties rather seem to be governed by weak electrostatic interactions between the entangled polymer chains. The amount of high molecular weight material varies considerably depending on mucilage´s origin and seems to be a straight factor for mucilage’s gel effect in soil. Additionally to the chemical characterization of the high molecular weight compounds, determination of their molecular weight and of their conformation in several mucilages types is needed to draw composition-property profiles. The variations measured between the various mucilages also highlight the necessity to study how the specific properties of the various mucilages fulfill the needs of the plant from which they are exuded. Finally, the integration of molecular interactions in gel and interparticulate gel properties to explain the physical properties of the rhizosphere was discussed. This approach offers numerous perspectives to clarify for example how water content or hydraulic conductivity in the rhizosphere vary according to the properties of the exuded mucilage. The hypothesis that the gel effect is general for all soil-born exudates showing gel properties was considered. As a result, a classification of soil-born gel phases including roots, seeds, bacteria, hyphae and earthworm’s exuded gel-like material according to their common gel physico-chemical properties is recommended for future research. An outcome could be that the physico-chemical properties of such gels are linked with the extent of the gel effect, with their impact on soil properties and with the functions of the gels in soil.
Entwicklung eines Verfahrens zur Reduktion von Mikroplastik aus aquatischen Medien mittels innovativer Hybridmaterialien (2020)
Herbort, Adrian Frank
The increase in plastic particles (< 5 mm) in the environment is a global problem, which is in direct correlation to the increasing production quantity and variety. Through direct input (primary) or through the degradation of macroplastics (secondary), particles enter the environmental compartments water and/or soil via conventional material transportation paths. The research and development work on the sustainable removal of microplastic particles (inert organic chemical stressors, IOCS) from wastewater is based on the construction of polymer inclusion compounds. IOCS describe a group of organic chemical molecules, which demonstrate a high level of persistence upon entry in the ecosystem and whose degradation is limited. Following the principle of Cloud Point Technology, a novel separation technique has been developed which induces particle growth in microplastics and allows easier separation from the water by volume increase according to the state of the art. The concept for the sustainable removal of microplastics from Herbort and Schuhen is based on a three-step synthesis. This concept was further optimized as part of the research and adapted to the criteria of resource efficiency and profitability. The fundamental research is premised on the hypothesis that van der Waals forces with short ranges and localized hydrophobic interactions between precursors and/or material and the IOCS to be connected can induce a fixation through the formation of an inclusion compound with particle growth. Through the addition of silicon-based ecotoxicologically irrelevant coagulation and inclusion units, it is possible to initiate molecular self-organization with the hydrophobic stressors in an aggregation process induced through water. It results in adhesive particle growth around the polymer particles and between particles. Subsequently, the polymer extract can be separated from aquatic media through simple and cost-effective filtration processes (e.g. sand trap, grease trap), due to the 10,000 times larger volume microplastic agglomerates.
Beurteilung der räumlichen-dynamischen Stabilität während des linearen und nicht-linearen menschlichen Gangs (2020)
Blumenberg, Claudia
The analysis of three-dimensional and complex motion sequences of human gait and therefore the most important question of kenesiology ”why are we falling?” is the essence of this paper. The gerontology and its science of movement is currently limited to simple and one-dimensional methods and models. An extensive literature research shows the latest state of research of the three common methods to determine the stability of human gait. To assess the margin of stability, local stability and orbital stability it is shown, how those methods are applicable to evaluate the subject’s ability to recover from any disturbences of the subject’s gait. Based on this assessment and the method’s advantages and disadvantages a new method will be derived that allows spatial analysis of dynamic instability of linear and non-linear human gait. A motion capture system and the timed up and go test serve as a basis for this new method and will be explained. A numerical approximation to optimise the number of markers within a marker-set of a motion capture analysis and its maximum correlation with the full-body-marker-set will be given. This simplification is very helpful for further clinical or scientific research. To validate the new method a trial with subjects will be shown and discussed. New appreciable variables and snapshots of specific situations during the gait offer new and different interpretations of the human gait. The new method is the most applicable and appropriate assessment of human gait and the individual development of the human gait while aging, as well as to detect and prevent falling and associated injuries. Especially directional change of a non-linear gait become assessable with the new method.
Flower-visiting insects in Europe: Evaluating the environmental consequences of agricultural pesticide use in the context of risk assessment (2020)
Uhl, Philipp
The European landscape is dominated by intensive agriculture which leads to widespread impact on the environment. The frequent use of agricultural pesticides is one of the major causes of an ongoing decline in flower-visiting insects (FVIs). The conservation of this ecologically diverse assemblage of mobile, flying insect species is required by international and European policy. To counteract the decrease in species numbers and their abundances, FVIs need to be protected from anthropogenic stressors. European pesticide risk assessment was devised to prevent unacceptable adverse consequences of pesticide use on FVIs. However, there is an ongoing discussion by scientists and policy-makers if the current risk assessment actually provides adequate protection for FVI species. The first main objective of this thesis was to investigate pesticide impact on FVI species. The scientific literature was reviewed to identify groups of FVIs, summarize their ecology, and determine their habitat. This was followed by a synthesis of studies about the exposure of FVIs in their habitat and subsequent effects. In addition, the acute sensitivity of one FVI group, bee species, to pesticides was studied in laboratory experiments. The second main objective was to evaluate the European risk assessment for possible deficits and propose improvements to the current framework. Regulatory documents were screened to assess the adequacy of the guidance in place in light of the scientific evidence. The suitability of the honey bee Apis mellifera as the currently only regulatory surrogate species for FVIs was discussed in detail. The available scientific data show that there are far more groups of FVIs than the usually mentioned bees and butterflies. FVIs include many groups of ecologically different species that live in the entire agricultural landscape. Their habitats in crops and adjacent semi-natural areas can be contaminated by pesticides through multiple pathways. Environmentally realistic exposure of these habitats can lead to severe effects on FVI population parameters. The laboratory studies of acute sensitivity in bee species showed that pesticide effects on FVIs can vary greatly between species and pesticides. The follow-up critical evaluation of the European FVI risk assessment revealed major shortcomings in exposure and effect assessment. The honey bee proved to be a sufficient surrogate for bee species in lower tier risk assessment. Additional test species may be chosen for higher tier risk assessment to account for ecological differences. This thesis shows that the ecology of FVIs should generally be considered to a greater extent to improve the regulatory process. Data-driven computational approaches could be used as alternative methods to incorporate ecological trait data in spatio-temporal scenarios. Many open questions need to be answered by further research to better understand FVI species and promote necessary changes to risk assessment. In general, other FVI groups than bees need to be investigated. Furthermore, comprehensive data on FVI groups and their ecology need to be collected. Contamination of FVI habitat needs to be linked to exposure of FVI individuals and ecologically complex effects on FVI populations should receive increased attention. In the long term, European FVI risk assessment would benefit from shifting its general principles towards more scientifically informed regulatory decisions. This would require a paradigm shift from arbitrary assumptions and unnecessarily complicated schemes to a substantiated holistic framework.
Förderung von naturwissenschaftlichen Konzepten und Bildungssprache von Vorschulkindern - Effekte kontext-reduzierter Gespräche auf konzeptuelle Vorstellungen zu Hebelwirkung und bildungssprachliche Lexik und Grammatik (2020)
Ebel, Maren
Die Entwicklung von naturwissenschaftlichen Konzepten und Bildungssprache beginnt schon vor dem Schuleintritt und bildungssprachliche und naturwissenschaftliche Kompetenzen werden als wichtige Faktoren für Schulerfolg angesehen (Ehlich, Bredel & Reich, 2008; Saçkes, Trundle & Bell, 2013). Die frühe Förderung dieser Kompetenzen ist deshalb sinnvoll. Lernumgebungen, die naturwissenschaftliche Konzepte fördern (Hardy, Möller & Stern, 2006; Leuchter, Saalbach & Hardy, 2014), zeichnen sich ebenso wie Lernumgebungen, die Bildungssprache fördern (Gibbons, 2006; Quehl & Trapp, 2013), dadurch aus, dass sie zum Sammeln eigener Erfahrungen (z.B. beim Experimentieren) und zum Versprachlichen und Begründen eigener Gedanken anregen (z.B. in Planungs- und Reflexionsphasen). Die zur Förderung von Bildungssprache erforderliche sprachliche Komplexität wird besonders in Gesprächen herausgefordert, die außerhalb der Experimentiersituation, d.h. kontext-reduziert, stattfinden (Gibbons, 2006; Quehl & Trapp, 2013). Bisherige Forschung untersucht allerdings entweder sprachliche oder konzeptuelle Fortschritte und dies überwiegend im schulischen Kontext. Eine gemeinsame Betrachtung beider Bereiche bei Vorschulkindern fehlt bisher. Die zentrale Forschungsfrage der Arbeit lautet daher: „Welche Effekte haben kontext-reduzierte Gespräche auf Vorstellungen von Vorschulkindern zu zweiseitigen Hebeln und deren bildungssprachliche Lexik und Grammatik?“ Die Effekte kontext-reduzierter Gespräche wurden in einem quasi-experimentellen Design (N = 90) mit drei Gruppen untersucht. Alle Gruppen nahmen an Experimentierphasen zu zweiseitigen Hebeln teil. Zwei Gruppen erhielten außerdem Planungs- und Reflexionsphasen mit verbalen Unterstützungsmaßnahmen. In der kontext-reduzierten Bedingung fanden die Planungs- und Reflexionsgespräche in raum-zeitlicher Trennung zum Experimentiermaterial statt, in der kontextualisierten Bedingung stand den Kindern das Material auch während der Planungs- und Reflexionsphasen zur Verfügung. Zwischen kontext-reduzierten und kontextualisierten Gesprächen konnten weder signifikante Unterschiede im naturwissenschaftlichen Konzept noch in den bildungssprachlichen Kompetenzen gefunden werden. Ein signifikanter Fördereffekt von Planungs- und Reflexionsgesprächen gegenüber der reinen Experimentierphase ohne Gespräche zeigt sich für konzeptuelle Vorstellungen zu zweiseitigen Hebeln, jedoch nicht für bildungssprachliche Lexik und Grammatik. Diese Ergebnisse lassen sich aus dem theoretischen Hintergrund nur bedingt erklären und geben Anlass für weitere Forschung.
Molecular Dynamics Simulations Utilizing the GPU (2020)
Krieg, Christina
Molecular dynamics (MD) as a field of molecular modelling has great potential to revolutionize our knowledge and understanding of complex macromolecular structures. Its field of application is huge, reaching from computational chemistry and biology over material sciences to computer-aided drug design. This thesis on one hand provides insights into the underlying physical concepts of molecular dynamics simulations and how they are applied in the MD algorithm, and also briefly illustrates different approaches, as for instance the molecular mechanics and molecular quantum mechanics approaches. On the other hand an own all-atom MD algorithm is implemented utilizing and simplifying a version of the molecular mechanics based AMBER force field published by \big[\cite{cornell1995second}\big]. This simulation algorithm is then used to show by the example of oxytocin how individual energy terms of a force field function. As a result it has been observed, that applying the bond stretch forces alone caused the molecule to be compacted first in certain regions and then as a whole, and that with adding more energy terms the molecule got to move with increasing flexibility.
Blockchain in Healthcare (2020)
K.C., Biplov
The underlying characteristics of blockchain can facilitate data provenance, data integrity, data security, and data management. It has the potential to transform the healthcare sector. Since the introduction of Bitcoin in the fintech industry, the blcockhain technology has been gaining a lot of traction and its purpose is not just limited to finance. This thesis highlights the inner workings of blockchain technology and its application areas with possible existing solutions. Blockchain could lay the path for a new revolution in conventional healthcare systems. We presented how individual sectors within the healthcare industry could use blockchain and what solution persists. Also, we have presented our own concept to improve the existing paper-based prescription management system which is based on Hyperledger framework. The results of this work suggest that healthcare can benefit from blockchain technology bringing in the new ways patients can be treated.
Rendering von blickabhängigen Reflexionen auf der Grafikkarte (2020)
Schnorr, Matthias
In der Computergrafik stellte die Berechnung von Reflexionen lange ein Problem dar. Doch mit der ständigen Weiterentwicklung der Hardware und Vorstellung neuer Verfahren ist eine realitätsnahe, echtzeitfähige(durchschnittlich 60 FPS) Berechnung von Reflexionen möglich. In der folgenden Ausarbeitung werden verschiedene Reflexionsverfahren vorgestellt. Alle mathematischen und physikalischen Grundlagen werden gegeben, um die Algorithmen nachvollziehen zu können. Da eine Reflexion immer das Abtasten eines reflektierten Vektors bedeutet, werden zwei verschiedene Abtastungsverfahren für blickabhängige Reflexionen vorgestellt und anschließend implementiert. Zuletzt werden die Verfahren auf Basis von Qualität und Performance gegenübergestellt.
Forschungs- und Lehrbericht 2017/2018 Fachbereich 4: Informatik Universität Koblenz-Landau (2020)
Forschungs- und Lehrbericht 2017/2018
Effects of Silver Nanoparticles on Bacterial Biofilms (2020)
Grün, Alexandra Yvonne
Because silver nanoparticles (Ag NPs) are broadly applied in consumer products, their leaching will result in the continuous release of Ag NPs into the natural aquatic environment. Therefore, bacterial biofilms, as the prominent life form of microorganisms in the aquatic environment, are most likely confronted with Ag NPs as a pollutant stressor. Notwithstanding the significant ecological relevance of bacterial biofilms in aquatic systems, and though Ag NPs are expected to accumulate within these biofilms in the environment, the knowledge on the environmental and ecological impact of Ag NPs, is still lagging behind the industrial growth of nanotechnology. Consequently, aim of this thesis was to perform effect assessment of Ag NP exposure on bacterial biofilms with ambient Ag NPs concentrations and under environmentally relevant conditions. Therefore, a comprehensive set of methods was applied in this work to study if and how Ag NPs of two different sizes (30 and 70 nm) affect bacterial biofilms i.e. both monospecies biofilms and freshwater biofilms in environmentally relevant concentrations (600 - 2400 µg l-1). Within the first part of this work, a newly developed assay to test the mechanical stability of monospecies biofilms of the freshwater model bacterium Aquabacterium citratiphilum was validated. In the first study, to investigate the impact of Ag NPs on the mechanical stability of bacterial biofilms, sublethal effects on the mechanical stability of the biofilms were observed with negative implications for biostabilization. Furthermore, as it is still challenging to monitor the ecotoxicity of Ag NPs in natural freshwater environments, a mesocosm study was performed in this work to provide the possibility for the detailed investigation of effects of Ag NPs on freshwater biofilms under realistic environmental conditions. By applying several approaches to analyze biofilms as a whole in response to Ag NP treatment, insights into the resilience of bacterial freshwater biofilms were obtained. However, as revealed by t-RFLP fingerprinting combined with phylogenetic studies based on the 16S gene, a shift in the bacterial community composition, where Ag NP-sensitive bacteria were replaced by more Ag NP-tolerant species with enhanced adaptability towards Ag NP stress was determined. This shift within the bacterial community may be associated with potential detrimental effects on the functioning of these biofilms with respect to nutrient loads, transformation and/or degradation of pollutants, and biostabilization. Overall, bringing together the key findings of this thesis, 4 general effect mechanisms of Ag NP treatment have been identified, which can be extrapolated to natural freshwater biofilms i.e. (i) the identification of Comamonadaceae as Ag NP-tolerant, (ii) a particular resilient behaviour of the biofilms, (iii) the two applied size fractions of Ag NPs exhibited similar effects independent of their sizes and their synthesis method, and (iv) bacterial biofilms show a high uptake capacity for Ag NPs, which indicates cumulative enrichment.
Quantifizierung von Chloriden in zementbasierten Feststoffen durch orts- und zeitaufgelöste Messung von Molekülemissionen in der laserinduzierten Plasmaspektroskopie (2020)
Dietz, Thomas
This dissertation presents the application of the molecular LIBS method, a novelapproach of Laser-Induced Breakdown Spectroscopy (LIBS), to optimize the detection of pitting chlorides in concrete structures, which are e.g. contaminated bydeicing salt in winter. Potentiometric titration as the standard method for chloride determination in building material analysis is costly and time-consuming. Ithas the decisive disadvantage that the determination of chloride concentrationis based on the total mass of the concrete and not on the cement content asrequired by the European standard EN 206. The imaging capabilities of LIBS forphase separation of the concrete meet this requirement. LIBS was already usedby BAM in 1998 in building material analysis, but the detection of chlorides withLIBS requires expensive helium purging and spectrometers outside the visiblespectral range to detect emissions of atomic chlorine. The approach of molecular LIBS is to quantify the emission of chloride-containing molecular radicalsformed during the cooling phase of the laser-induced plasma. The advantagescompared to conventional LIBS method are the emission in the visible spectralrange and the applicability without noble gas purging. In this thesis the influenceof the experimental components on the time behaviour of the relevant molecularemission bands is investigated, signal deviations due to plasma fluctuations aresignificantly reduced and for plasma analysis the molecular formation is simulated on atomistic scales and compared with standard methods. In simultaneousmeasurements, atomic and molecular Cl emission are directly compared and the quantification is optimized by data combination. Molecular LIBS will be extended to a quantifying and imaging method that can detect chlorides withoutnoble gas purging.
Positionsspezifische ¹³C-Markierung langkettiger Dicarbonsäuren und ω-Hydroxycarbonsäuren (2020)
Schink, Carina
Die Biopolyester Cutin und Suberin stellen hydrophobe Grenzbarrieren dar, die sich im Laufe der Evolution der Landpflanzen entwickelt haben. Cutin bildet den Hauptbestandteil der Cuticula, die den Pflanzen Schutz vor unkontrollierter Transpiration bietet. Die Einlagerung von Suberin in die Zellwände definierter Zellen des Wurzelgewebes ermöglicht eine kontrollierte Aufnahme von Wasser und Nährstoffen. Zu den wichtigsten monomeren Bestandteilen dieser biologischen Polyester gehören langkettige α,ω-Dicarbonsäuren und ω-Hydroxycarbonsäuren. Bisher wurde der mikrobielle Abbau der Makromoleküle unzureichend erforscht. Zur Entschlüsselung der Zersetzung ist es notwendig, den Kreislauf der monomeren Bestandteile im Boden zu betrachten. Hierzu eignen sich vor allem Experimente mit positionsspezifisch ¹³C -markierten α,ω-Dicarbonsäuren und ω-Hydroxycarbonsäuren, die in der vorliegenden Arbeit erstmals synthetisch zugänglich gemacht wurden. Die Synthesen umfassten Dicarbonsäuren der geradzahligen Kettenlängen C12 bis C30, deren Carboxygruppen ¹³C -markiert sind. Ebenfalls wurde die Synthese von ω-Hydroxycarbonsäuren der Kettenlängen C14, C18, C22 und C30 mit ¹³C-Markierung an der Carboxygruppe realisiert. Weitere Zielverbindungen waren ω-Hydroxycarbonsäuren der Kettenlängen C14, C15, C18, C22 und C30, deren terminales hydroxyliertes Kohlenstoffatom mit ¹³C markiert ist. Im Rahmen der durchgeführten Arbeit gelang es, alle 19 Zielcarbonsäuren erfolgreich in hohen Ausbeuten und Reinheiten darzustellen. Die Synthese der isotopenmarkierten Verbindungen erforderte die Entwicklung spezieller auf die jeweiligen Zielsubstanzen individuell angepasster Syntheserouten, die den Einbau des Kohlenstoffisotops ¹³C ermöglichten. Für alle Zielverbindungen erfolgte die Einführung des ¹³C durch die Verwendung von ¹³C -markiertem Kaliumcyanid (99 at%). Wegen der hohen Kosten des ¹³C -markierten Ausgangsstoffes wurden alle Reaktionen zunächst unter der Verwendung analoger unmarkierter Edukte optimiert. Der letzte Teil der Arbeit bestand in der Ausführung eines Inkubationsexperimentes mit den ¹³C -markierten α,ω-Dicarbonsäuren der Kettenlängen C12, C18, C22 und C30. Mittels Phospholipidfettsäure-Analyse konnte gezeigt werden, dass die ¹³C -Dicarbonsäuren zu unterschiedlichen Anteilen von verschiedenen Mikroorganismengruppen zum Aufbau von Phospholipidfettsäuren verwendet wurden. Außerdem konnte durch die Anreicherung des CO2 mit dem Isotop ¹³C nachgewiesen werden, dass die ¹³C -markierten Fettsäuren von den Mikroorganismen zur Energiegewinnung abgebaut wurden. Für zukünftige Arbeiten wäre es interessant, Ausschnitte der Cutin- und Suberinstruktur nachzubilden. Durch die Veresterung der ¹³C -markierten α,ω-Dicarbonsäuren und der ¹³C -markierten ω-Hydroxycarbonsäuren untereinander oder mit Alkoholen könnten Dimere und Oligomere hergestellt werden.
Kamerabasierte Assistenz für Nutzfahrzeuge (2020)
Fuchs, Christian
Lastkraftwagen werden weltweit in verschiedenen Konfigurationen für den Transport von Gütern und für Spezialanwendungen genutzt. Das sichere Navigieren solcher Großfahrzeuge stellt eine herausfordernde Aufgabe für den Fahrer und unter Umständen für automatische Steuerungssysteme, z. B. im semi-autonomen oder autonomen Betrieb, dar. Insbesondere in kinematisch schwierigen Situationen, auf unebenem Untergrund oder bei engen Platzverhältnissen steigt die Komplexität des sicheren Steuerns. Umso verwunderlicher ist es, dass unterstützende Systeme, welche die speziellen Belange von LKW und insbesondere LKW-Gespannen adressieren, im Vergleich zum Angebot auf dem PKW-Markt nur in rudimentärem Maß angeboten werden. Das Gefahrenpotential, dass von Großfahrzeugen ausgeht, wird zunehmend in der aktuellen Tagespolitik diskutiert. Unter anderem wird die verpflichtende Einführung von Fahrerassistenzsystemen gefordert. In dieser Arbeit werden zwei Themen behandelt, die sich mit den speziellen Anforderungen von Nutzfahrzeugen befassen. Im ersten Themenblock wird die Erfassung der Artikulation in einem LKW-Anhänger-Gespann mit Drehschemelanhänger bearbeitet. Dabei wird ein neuartiges Verfahren vorgestellt, das auf an der Universität Koblenz-Landau geleisteten Vorarbeiten aufbaut. Es ermöglicht die Erfassung von Knickwinkeln in mehreren Dimensionen und ist daher auch für den Einsatz auf unebenem Grund, wie beispielsweise in Baustellen- oder Agrarszenarien geeignet. Das Verfahren nutzt dabei eine Kamera und ein künstliches Muster, um den Gespannzustand zu ermitteln. Im zweiten Bereich wird die Umfeldvisualisierung durch eine Vogelperspektivenansicht thematisiert. Herkömmliche Systeme weisen systembedingte Verzerrungen auf, die unnatürlich wirkende Ansichten zur Folge haben. Diesem Problem wird durch die Entwicklung einer neuen Herangehensweise begegnet: Mit den Tiefendaten von Stereokameras wird eine Umgebungsmodellierung realisiert, die im nächsten Schritt perspektivisch korrekt mit Kamerabildern fusioniert wird. Mittels einer speziell für diesen Fall erweiterten Stereo-Hinderniserkennung wird zudem eine zusätzliche Umfeldüberwachung ermöglicht. Die beiden in dieser Dissertation vorgestellten Verfahren beinhalten grundlegende Arbeiten, die für die Entwicklung maßgeschneiderter Assistenzsysteme für LKW angewandt werden können.
Survey of Compliance Violation-Pattern Classification (2020)
Kilian, Pascal
Regarding the rising amount of legal regulations, businesses should get the opportunity to use software to fulfill their Compliance Management with the usage of compliance pattern. These patterns are used to represent substantive and structural parts of the processes. This means companies can increase their efficiency and react to new regulations quickly to avoid possible violation which can lead to monetary losses or legal consequences. In the literature are many approaches that deal with compliance pattern but currently there does not exist any list with necessary compliance pattern that companies should face at (Delfmann and Hübers, 2015). The following bachelor thesis classifies 80 research contributions regarding their different approaches of compliance pattern. For that a systematic literature review was executed. As a result, the author developed a graphical classification context that provides an overview of connections between different compliance approaches. Furthermore, an appendix with 32 compliance patterns of the analyzed papers was developed that contains real-world patterns with the classification of the previous sections.
Prototyping a Verification Tool for Decision Model and Notation (2020)
Blatt, Jonas
The industry standard Decision Model and Notation (DMN) has enabled a new way for the formalization of business rules since 2015. Here, rules are modeled in so-called decision tables, which are defined by input columns and output columns. Furthermore, decisions are arranged in a graph-like structure (DRD level), which creates dependencies between them. With a given input, the decisions now can be requested by appropriate systems. Thereby, activated rules produce output for future use. However, modeling mistakes produces erroneous models, which can occur in the decision tables as well as at the DRD level. According to the Design Science Research Methodology, this thesis introduces an implementation of a verification prototype for the detection and resolution of these errors while the modeling phase. Therefore, presented basics provide the needed theoretical foundation for the development of the tool. This thesis further presents the architecture of the tool and the implemented verification capabilities. Finally, the created prototype is evaluated.
Abstraction of Bio-Medical Surface Data for Enhanced Comprehension and Analysis (2020)
Lichtenberg, Nils
Bio-medical data comes in various shapes and with different representations. Domain experts use such data for analysis or diagnosis, during research or clinical applications. As the opportunities to obtain or to simulate bio-medical data become more complex and productive, the experts face the problem of data overflow. Providing a reduced, uncluttered representation of data, that maintains the data’s features of interest falls into the area of Data Abstraction. Via abstraction, undesired features are filtered out to give space - concerning the cognitive and visual load of the viewer - to more interesting features, which are therefore accentuated. To address this challenge, the dissertation at hand will investigate methods that deal with Data Abstraction in the fields of liver vasculature, molecular and cardiac visualization. Advanced visualization techniques will be applied for this purpose. This usually requires some pre-processing of the data, which will also be covered by this work. Data Abstraction itself can be implemented in various ways. The morphology of a surface may be maintained, while abstracting its visual cues. Alternatively, the morphology may be changed to a more comprehensive and tangible representation. Further, spatial or temporal dimensions of a complex data set may be projected to a lower space in order to facilitate processing of the data. This thesis will tackle these challenges and therefore provide an overview of Data Abstraction in the bio-medical field, and associated challenges, opportunities and solutions.
Face and Gaze Controlled Onscreen Presentations (FAGCOP) (2020)
Bukhari, Syed Nabil Afaraz
On-screen interactive presentations have got immense popularity in the domain of attentive interfaces recently. These attentive screens adapt their behavior according to the user's visual attention. This thesis aims to introduce an application that would enable these attentive interfaces to change their behavior not just according to the gaze data but also facial features and expressions. The modern era requires new ways of communications and publications for advertisement. These ads need to be more specific according to people's interests, age, and gender. When advertising, it's important to get a reaction from the user but not every user is interested in providing feedback. In such a context more, advance techniques are required that would collect user's feedback effortlessly. The main problem this thesis intends to resolve is, to apply advanced techniques of gaze and face recognition to collect data about user's reactions towards different ads being played on interactive screens. We aim to create an application that enables attentive screens to detect a person's facial features, expressions, and eye gaze. With eye gaze data we can determine the interests and with facial features, age and gender can be specified. All this information will help in optimizing the advertisements.
Konzeption und Entwicklung einer AR-Ausmessungsapp (2020)
Sicilia, Valentina
In dieser Arbeit wird die Konzeption, Implementierung und Evaluierung einer Augmented Reality-App beschrieben. Diese wurde mit dem Ziel entwickelt, Objekte im realen Raum mit virtuellen Hilfsmitteln auszumessen, sodass diese Anwendung einen Holzgliedermaßstab ersetzen kann. Hinzu kommt die praktische Speicherung der Messwerte. Angefertigt wurde die App mit der Unity Engine und programmiert in C#. Schwerpunkte dieser Arbeit sind die Benutzerfreundlichkeit der App, sowie die Eignung von AR Foundation für das Ausmessungstool. Die Anwendung wird auf die genannten Kriterien im Rahmen eines Nutzertests in einer abschließenden Evaluation bewertet. Als Ergebnis ließ sich festhalten, dass sich die AR-App noch im Prototyp-Stadium befindet, aber im Allgemeinen schon als benutzerfreundlich gilt. Kleinere Änderungen sollen und müssen noch vorgenommen werden, um auch den Umgang mit dem AR-Tool zu vereinfachen.
Relations between climate sensitive factors and fecally derived microorganisms in rivers (2020)
Herrig, Ilona
Microbial pollution of surface waters poses substantial risks for public health, amongst others during recreational use. Microbial pollution was studied at selected sampling sites in rivers Rhine, Moselle and Lahn (Germany) on the basis of commonly used fecal indicator organisms (FIO) indicating bacterial (Escherichia coli, intestinal enterococci) and viral (somatic coliphages) fecal contamination. In addition, blaCTX-Mantibiotic resistance genes (ARG) were quantified at twosites in river Lahn and were used as markers for tracking the spread of antibiotic resistance in the aquatic environment. The impact of changes in climate-related parameters on FIO was examined by studying monitoring results of contrasting flow conditions at rivers Rhine and Moselle. Analyses at all studied river sites clearly indicate that high discharge and precipitation enhance the influx of FIO, ARG and thus potentially (antibiotic resistant) pathogens into rivers. In contrast, a decrease in hygienic microbial pollution was observed under high solar irradiation and increasing water temperatures. Based on identified contributing key factors, multiple linear regression (MLR) models for five sites at a stretch of river Lahn were established that allow a timely assessment of fecal indicator abundances. An interaction between abiotic and biotic factors (i.e. enhanced grazing pressure) considerably contributed to the formation of seasonal patterns among FIO abundances. This was enhanced during extraordinary low flow conditions in rivers with pronounced trophic interactions, clearly hampering a transfer of model approaches between rivers of different biological and hydrological characteristics. Bacterial indicatorswere stronger influenced by grazing pressure than phages. Hence, bacterial indicators alone do not sufficiently describe viral pollution in rivers. BlaCTX-Mgenes were omnipresent in Lahn River water and corresponded to distribution patterns of FIO, indicating fecal sources. Agriculture and waste watertreatment plant effluents contributed to ARG loads and participants in non-bathing water sports were found to be at risk of ingesting antibiotic resistant bacteria (ARB) including ARG, bearing the risk of infection or colonization. Results of the present study highlight the need to be aware of such risks not only in designated bathing waters. ARG abundance at both riverine sampling sites could largely be explained by E. coliabundance and may thus also be incorporated into multiple regression models using E. colispecific environmental predictors. It can be expected that the frequency of short-term microbial pollution events will increase over the next decades due to climate change. Several challenges were identified with regard to the implementation of early warning systems to protect the public from exposure to pathogens in rivers. Most importantly, the concept of the Bathing Water Directive (Directive 2006/7/EC) itself as well as the lack of harmonization in the regulatory framework at European Union (EU) level are major drawbacks and require future adjustments to reliably manage health risks related to microbial water pollution in waters used in multifunctional ways.
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