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Obwohl Kinder beim Bauen mit Bauklötzen bereits früh Erfahrungen mit Aspekten der Stabilität von Bauwerken, wie z. B. Kräfteverteilung, Standfestigkeit sowie Gleich- und Gegengewicht, sammeln und es verschiedene Studien gibt, die den fächerübergreifenden Lerngehalt von Bauklötzen hervorheben, ist das Verständnis bezüglich der Stabilität von Bauklotzanordnungen bisher kaum erforscht. Daher wurde untersucht, welche Vorstellungen sechs- bis siebenjährige Kinder zur Stabilität von Bauklotzanordnungen zeigen und welche Unterstützungsmaßnahmen eine Vorstellungsveränderung anregen. In Studie 1 und 2 zeigt sich, dass Kinder in der Schuleingangsphase erste Vorstellungen zur Stabilität von Bauklotzanordnungen haben. Über verschiedene Analysen wurden schwierigkeitsbestimmende Merkmale bzw. lösungsrelevante Dimensionen identifiziert. Kinder mit ca. fünf Jahren orientieren sich eher an der geometrischen Mitte und beziehen somit die Abstandsdimension ein, bei Neunjährigen berücksichtigen hingegen knapp über die Hälfte bereits den Massenmittelpunkt. Folglich reicht die „Bauerfahrung“ von Kindern bis zum neunten Lebensjahr nicht aus, um die Fähigkeit, Bauklotzanordnungen bezüglich ihrer Stabilität zu beurteilen, vollständig zu entwickeln. Deshalb wurde in Studie 3 untersucht, inwieweit sich eine Vorstellungsveränderung zur Stabilität von Bauklotzanordnungen mithilfe verschiedener Unterstützungsmaßnahmen innerhalb einer kurzen Lerneinheit anregen lässt. Dabei wurden verschiedene materiale und verbale Unterstützungsmaßnahmen in Form von Fotos und gezielten sprachlichen Instruktionen in einem systematischen Vergleich gegenübergestellt. Die Ergebnisse weisen nach, dass bereits mit einer kurzen Lerneinheit ein Wissenszuwachs bei Siebenjährigen angeregt werden kann, insbesondere wenn sie durch Fotos und gezielte sprachliche Instruktionen unterstützt werden. Die Ergebnisse sind ein erster Schritt für die Entwicklung eines naturwissenschaftlichen Unterrichts zur Stabilität von Bauklotzanordnungen.
Die Studien der vorliegenden Arbeit untersuchen geschlechtsspezifisch-emotionale Reaktionsmuster auf stärkere und weniger stark emotionalisierte Texte verschiedener Textarten zu negativen Themen. Zusätzlich finden verschiedene Ausprägungen von Geschlechterstereotypen und dahingehend mögliche Zusammenhänge mit emotionalen Reaktionen Berücksichtigung. Versuchspersonen wurden mit Textmaterial konfrontiert und sollten daraufhin mit Hilfe des Emotionsfragebogens M-DAS ihre emotionalen Reaktionen bewerten. Frauen zeigten eine stärkere Ergriffenheit in Bezug auf das Textmaterial im Allgemeinen und besonders auf emotionalisiertes Textmaterial. Gemischte Ergebnisse zeigten sich in Bezug auf geschlechtertypische Textarten. Eine Sachtextpräferenz der Männer ließ sich ebensowenig signifikant belegen wie die erwartete stärkere Vorliebe der Frauen für literarische Texte. Geschlechtsspezifische Emotionen wurden weitestgehend erwartungskonform berichtet: Frauen reagierten mit stärkerer Angst und Trauer auf das Textmaterial, Männer mit stärkerer Verachtung. Die Ergebnisse in Bezug auf Wut sind gemischt, in einigen Fällen wurde Wut jedoch stärker von den Frauen berichtet. Die Untersuchung der Zusammenhänge zwischen internalisierten Stereotypen ergab Einflüsse hauptsächlich von weiblichen Stereotypen auf emotionale Reaktionen, männliche Stereotype konnten nur in einer Teilfragestellung als Einflussfaktor ausgemacht werden. Emotionsbezogene Stereotype wiesen keine Zusammenhänge mit emotionalen Reaktionen auf. Insgesamt belegen die Ergebnisse der Arbeit, dass sich geschlechterspezifische Unterschiede in emotionalen Reaktionen finden lassen.
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.
Schizophrenia is a chronic mental health disorder, which changes rapidly the life of the persons and their families, who suffer from it. It causes high biological and psychological vulnerability as well as cognitive, emotional and behavioral disorders. Nowadays, evidence-based pharmacotherapy and psychotherapy are available aiming the rehabilitation and recovery of individuals with schizophrenia. A democratic society is obliged to give these people the opportunity to have an access to those treatments.
The following three published studies present this dissertation thesis and have a common focus on the implementation of evidence-based psychotherapy in individuals with schizophrenia.
The first study evaluates the efficacy of the Integrated Psychological Therapy (IPT) in Greece, one of the most evaluated rehabilitation programs. IPT was compared to
Treatment as Usual (TAU) in a randomized controlled trial (RCT) with 48 individuals with schizophrenia. Significant effects favouring IPT were found in working memory,
in social perception, in negative symptoms, in general psychopathology and in insight. This study supports evidence for the efficacy of IPT in Greece.
The second study evaluates a second hypothesis, when IPT is more and less effective regarding treatment resistant schizophrenia (TRS) and non treatment resistant
schizophrenia (NTRS). It is a part of the first paper. Significant effects favouring NTRS were found for verbal memory, for symptoms, for functioning and quality of
life. Effect sizes showed superiority of NTRS in comparison to TRS. IPTTRS showed on the other side some significant improvements. This study presents the initial findings of a larger study to be conducted internationally for the first time.
The third study is a systematic review, which aims to evaluate the efficacy of Cognitive Behavioral Therapy (CBT), of Meta Cognitive Therapy (MCT), Metacognitive Training (MCTR), Metacognitive Reflection and Insight Therapy
(MERIT), of various Rehabilitation Programs and Recovery Programs in individuals with schizophrenia. 41 RCTs and 12 Case Studies were included. The above interventions are efficacious in the improvement of cognitions, symptoms, functional outcome, insight, self-esteem, comorbid disorders and metacognitive capacity.
The three studies provide insight regarding the importance of evidence-based psychotherapy in persons with schizophrenia leading to recovery and reintegration into
society. Future RCTs with larger samples and long-term follow up, combining evidence-based psychotherapies for individuals with schizophrenia need to be done.
Data-minimization and fairness are fundamental data protection requirements to avoid privacy threats and discrimination. Violations of data protection requirements often result from: First, conflicts between security, data-minimization and fairness requirements. Second, data protection requirements for the organizational and technical aspects of a system that are currently dealt with separately, giving rise to misconceptions and errors. Third, hidden data correlations that might lead to influence biases against protected characteristics of individuals such as ethnicity in decision-making software. For the effective assurance of data protection needs,
it is important to avoid sources of violations right from the design modeling phase. However, a model-based approach that addresses the issues above is missing.
To handle the issues above, this thesis introduces a model-based methodology called MoPrivFair (Model-based Privacy & Fairness). MoPrivFair comprises three sub-frameworks: First, a framework that extends the SecBPMN2 approach to allow detecting conflicts between security, data-minimization and fairness requirements. Second, a framework for enforcing an integrated data-protection management throughout the development process based on a business processes model (i.e., SecBPMN2 model) and a software architecture model (i.e., UMLsec model) annotated with data protection requirements while establishing traceability. Third, the UML extension UMLfair to support individual fairness analysis and reporting discriminatory behaviors. Each of the proposed frameworks is supported by automated tool support.
We validated the applicability and usability of our conflict detection technique based on a health care management case study, and an experimental user study, respectively. Based on an air traffic management case study, we reported on the applicability of our technique for enforcing an integrated data-protection management. We validated the applicability of our individual fairness analysis technique using three case studies featuring a school management system, a delivery management system and a loan management system. The results show a promising outlook on the applicability of our proposed frameworks in real-world settings.
Spektroskopie zweiatomiger Moleküle bei Einstrahlung ultrakurzer Laserpulse und ihre Anwendung
(2020)
Even with moderate pulse energies and average powers, ultrashort pulse lasers achieve very high peak powers, whose effect on matter is fundamentally different from that of other light sources. The high electric field strength does not only cause an increase of optically nonlinear effects such as second harmonic generation, but it is also responsible for the “cold“ ablation, which leads to colder plasmas. An investigation of these two circumstances in terms of a simplification of the pulse duration measurement and an improvement of the molecular formation in cooling plasmas is the topic of this work. In this context, it is shown that when selecting suitable process parameters, especially when purposefully defocusing the medium, the use of ultrashort pulse lasers improves the spectroscopy of several emitting molecules such as aluminum oxide. Therefore, their detection is possible even without the time-resolving spectrometers required in literature. In addition, ultrashort pulses enable spatially resolved crystallization of zinc oxide on zinc surfaces prepared by basic means. The resulting wurtzites usually align their c-axis approximately perpendicular to the underlying surface and can be used to generate scattered second harmonics. Fiber-based femtosecond lasers with pulse energies in the microjoule range, pulse durations of a few 100fs and very low maintenance requirements have proven to be a powerful instrument for these purposes. For measuring the pulse duration, the high pulse energy also enables the usage of frequency doublers with much lower conversion eciencies. Despite nonuniform crystal axes, the scattering second harmonic generating aluminum nitride has proven to be particularly suitable for optical autocorrelation. Compared to the commonly used monocrystalline beta-barium borate, the sintered aluminum nitride ceramic plates facilitate the adjustment, simplify the material handling and reduce the expenses by two to three orders of magnitude. The method developed in this work is therefore also suitable for confirmatory measurements of the pulse duration during the production process of such systems – especially when the occurring pulse energies are high or rather too high for beta-barium borate.
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.
The three biodegradable polymers polylactic acid (PLA), polyhydroxybutyrate (PHB) and polybutylene adipate terephthalate (PBAT) were coated with hydrogenated amorphous carbon layers (a-C:H) in the context of this thesis. A direct alignment of the sample surface to the source was chosen, resulting in the deposition of a robust, r-type a-C:H. At the same time, a partly covered silicon wafer was placed together with the polymers in the coating chamber and was coated. Silicon is a hard material and serves as a reference for the applied layers. Due to the hardness of the material, no mixed phase occurs between the substrate and the applied layer (no interlayer formation). In addition, the thickness of the applied layer can be estimated with the help of the silicon sample.
The deposition of the layer was realized by radio frequency plasma enhanced chemical vapor deposition (RF-PECVD). For the coating the samples were pre-treated with an oxygen plasma. Acetylene was used as precursor gas for the plasma coating. Coatings with increasing thickness in 50 nm steps from 0-500 nm were realised.
The surface analysis was performed using several techniques: The morphology and layer stability were analyzed with scanning electron microscopy (SEM) measurements. The wettability was determined by contact angle technique. In addition, the contact angles provide macroscopic information about the bond types of the carbon atoms present on the surface. For microscopic analysis of the chemical composition of the sample and layer surfaces, diffuse reflectance Fourier transform infrared spectroscopy (DRIFT) as well as synchrotron based X-ray photon spectroscopy (XPS) and near edge X-ray absorption fine structure spectroscopy (NEXAFS) were used.
All coated polymers showed several cases of layer failure due to internal stress in the layers. However, these were at different layer thicknesses, so there was a substrate effect. In addition, it is visible in the SEM images that the coatings of PLA and PHB can cause the applied layer to wave, the so-called cord buckling. This does not occur with polymer PBAT, which indicates a possible better bonding of the layer to the polymer. The chemical analyses of the layer surfaces show for each material a layer thickness dependent ratio of sp² to sp³ bonds of carbon, which alternately dominate the layer. In all polymers, the sp³ bond initially dominates, but the sp² to sp³ ratio changes at different intervals. Although the polymers were coated in the same plasma, i.e. the respective layer thicknesses (50 nm, 100 nm, ...) were applied in the same plasma process, the respective systems differed considerably from each other. A substrate effect is therefore demonstrably present. In addition, it was found that a change in the dominant bond from sp³ to sp² is an indication ofan upcoming layer failure of the a-C:H layer deposited on the polymer. In the case of PLA, this occurs immediately with change to sp² as the dominant bond; in the case of PHB and PBAT, this occurs with different delay to increased layer thicknesses (at PHB 100 nm, at PBAT approx. 200 nm.
Overall, this thesis shows that there is a substrate effect in the coating of the biodegradable polymers PLA, PHB and PBAT, since despite the same coating there is a different chemical composition of the surface at the respective layer thicknesses. In addition, a layer failure can be predicted by analyzing the existing bond.
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.
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.
Stream ecosystems are one of the most threatened ecosystems worldwide due to their exposure to diverse anthropogenic stressors. Pesticides appear to be the most relevant stressor for agricultural streams. Due to the current mismatch of modelled and measured pesticide concentrations, monitoring is necessary to inform risk assessment or improve future pesticide approvals. Knowing if biotic stress responses are similar across large scales and long time frames could ultimately help in estimating protective stressor thresholds.
This thesis starts with an overview of entry pathways of pesticides to streams as well as the framework of current pesticide monitoring and gives an outline of the objectives of the thesis. In chapter 2, routine monitoring data based on grab sampling from several countries is analysed to identify the most frequently occurring pesticide mixtures. These mixtures are comprised of relatively low numbers of pesticides, of which herbicides are dominating. The detected pesticide mixtures differ between regions and countries, due to differences in the spectrum of analysed compounds and limits of quantification. Current routine monitoring does not include sampling during pesticide peaks associated with heavy rainfall events which likely influences the detected pesticide mixtures. In chapter 3, sampling rates of 42 organic pesticides for passive sampling are provided together with recommendations for the monitoring of field-relevant peaks. Using this information, in chapter 4 a pesticide gradient is established in an Eastern European region where agricultural intensity adjacent to sampled streams ranges from low to high. In contrast to current routine monitoring, rainfall events were sampled and a magnitude of pesticides were analysed. This led to the simultaneous detection of numerous pesticides of which one to three drive the pesticide toxicity. The toxicity, however, showed no relationship to the agricultural intensity. Using microcosms, the stress responses of fungal communities, the hyphomycetes, and the related ecosystem function of leaf decomposition, is investigated in chapter 5. Effects of a field-relevant fungicide mixture are examined across three biogeographical regions for three consecutive cycles of microbial leaf colonisation and decomposition. Despite different initial communities, stress responses as well as recoveries were similar across biogeographical regions, indicating a general pattern.
Overall, this thesis contributes to an improved understanding of occurrence and concentrations of pesticides mixtures in streams, their monitoring and impact on an ecosystem function. We showed that estimated pesticide toxicities reach levels that affect non-target organisms and thereby potentially whole ecosystems. Routine monitoring, however, likely underestimates the threat by pesticides. Effects leading to a loss in biodiversity or functions in streams ecosystems can be reduced by reassessing approved pesticides with ongoing targeted monitoring and increased knowledge of effects caused by these pesticides.
In this bachelor thesis a database for worldwide railway national investigation bodies is created. It contains contact details of those authorities as well as information of public accident investigation reports. The database is intended to serve as a basis for information and data acquisition of railway accidents. The information that can be taken from the investigation reports is an important element for a possible economical evaluation and for the efficiency of safety technologies. Besides the basics of the national investigation bodies, accident investigation reports and the efficiency calculation of safety technologies the thesis presents an evaluation of the existing investigation bodies and reports in the database. Also the usefulness of the database of accident investigation bodies will be explained and the potential impact on railway safety will be examined.
In the context of augmented reality we define tracking as a collection of methods to obtain the position and orientation (pose) of a user. By means of various displaying techniques, this ensures a correct visual overlay of graphical information onto the reality perceived. Precise results for calculation of the camera pose are gained by methods of image processing, usually analyzing the pixels of an image and extracing features, which can be recognized over the image sequence. However, these methods do not regard the process of image synthesis or at least in a very simplyfied way. In contrast, the class of model-based methods assumes a given 3D model of the observed scene. Based on the model data features can be identified to establish correspondences in the camera image. From these feature correspondences the camera pose is calculated. An interesting approach is the strategy of analysis-by-synthesis, regarding the computer graphics rendering process for extending the knowledge about the model by information from image synthesis and other environment variables.
In this thesis the components of a tracking system are identified and further it is analyzed, to what extend information about the model, the rendering process and the environment can contribute to the components for improvement of the tracking process using analysis-by-synthesis. In particular, by using knowledge as topological information, lighting or perspective, the feature synthesis and correspondence finding should lead to visually unambiguous features that can be predicted and evaluated to be suitable for stable tracking of the camera pose.
Purpose: The present research aims on the one hand to provide a basic understanding of the challenges that young companies in growth face by discussing previous findings on this topic. On the other hand, this research project wants to generate new insights on specific challenges and possible learning processes by means of a theory-based examination of a case study.
Design/Methodology/Approach: The author of this study conducts a theory-based case study investigation. The study is based on two theoretical concepts which depict the phenomenon of challenges faced by young companies in growth in an abstract form: On the one hand, the "Tension-Balancing Management" according to Harald von Korflesch, which expresses the fundamental tension within entrepreneurial organizations, which in turn can be seen as a starting point for actual challenges. On the other hand, the "Tipping Points / Absorbative Capacities" framework by Phelps and colleagues, which links challenges (Tipping Points) that young companies will experience during their lifetime with required capabilities (Absorbative Capacities). Guided by these theories, rich data from interviews, observations and documents from the case are collected and analyzed in order to generate insights.
Findings: On the one hand, challenges of young growing companies can be described on a superordinate level with the help of the two theoretical concepts. On the other hand, the analysis also shows that, above all, a fine-grained, individual approach is needed to adequately depict challenges and learning processes.
Research Limitations: The main limitation of the present study is the single-case design. The fact that only one specific case was examined means that the insights gained from this cannot be automatically replicated to comparable cases. The simultaneous examination of multiple cases could thus make the results more stable.
Originality/Value: The qualitative investigation of growth-related challenges by means of a specific case study creates an in-depth and profound understanding of complex interactions in the growth of young companies. In addition, the assumptions of both theoretical concepts are tested on a real case, thus enabling theoretical and practical implications to be identified.
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.
Warum kann ich mir nicht vorstellen, meine Haare wachsen zu lassen, insbesondere meine Körperhaare? Diese Frage und das damit verbundene Unbehagen motivierten mich 2016 zur Entwicklung meines Dissertationsprojektes.
Die Suche nach einer Antwort führt zu einer Studie, die einen feministisch-phänomenologischen Erfahrungsbegriff zentral setzt. Bedeutsam für die Entwicklung eines solchen Begriffs sind die phänomenologischen Beiträge „Zur poststrukturalistischen Kritik an der Erfahrung im Kontext der feministischen Philosophie“ (Stoller 2005) von Silvia Stoller und „Phänomenologie, Poststrukturalismus und feministische Theorie. Zum Begriff der Erfahrung“ (Alcoff 1997) von Linda Martín Alcoff. Darauf aufbauend verfolgt das Dissertationsprojekt zunächst das Anliegen, Erfahrungen sichtbar zu machen, indem sie veranschaulicht und zur Sprache gebracht werden. Auf diese Weise wird es möglich, Erfahrungen hinterfragen zu können, um anschließend Antworten entwickeln zu können. Demnach beruhen mein Unvermögen, Körperhaare wachsen zu lassen, sowie das damit einhergehende Unbehagen darauf, eine drohende Erfahrung der Fremdheit mir selbst gegenüber abwenden zu wollen. Zu einer solchen Fremderfahrung würde es kommen, wenn ich durch meine Körperhaare damit konfrontiert werde, dass ich mir fremd bin. Jedoch um sich selbst kennenzulernen sind Menschen nach phänomenologischem Verständnis (vgl. Meyer-Drawe 2001: 141-142) auf andere Menschen angewiesen, da sie sich selbst erst durch andere bewusst werden können. Doch stellt es angesichts des gelebten Ideals der Haarlosigkeit (vgl. Labre 2002: 120-122, Strmljan 2018: 406) eine Herausforderung dar, meine drohende Fremderfahrung, aufgrund der Konfrontation mit meinen Körperhaaren, im Kontakt mit anderen Menschen zu überwinden, sodass ich eine solche Fremderfahrung vermeide, indem ich meine Körperhaare entferne. Als Resultat verbleibt mein Unbehagen darüber, dem Ideal der Haarlosigkeit zu entsprechen.
Zu einer solchen Antwort gelange ich anhand einer Studie, die folgender Forschungsfrage folgt:
Wie erfahren sich Menschen beim Waxing in einem Kosmetikstudio unter den Bedingungen der binären Geschlechterordnung?
Dass die Erfahrungen in einem Kosmetikstudio erforscht werden, begründet sich damit, dass in einem solchen der Zugang zu Erfahrungen bei der Entfernung von Körperhaaren möglich wird. Körperhaare zu entfernen ist zwar ein alltäglicher Umgang mit Körpern, jedoch intim und persönlich, sodass ein Zugang schwierig wird. Eine Lösung stellt hierfür ein Kosmetikstudio dar. Als Praktikantin in dem Kosmetikstudio Beautystudio werden mir Erfahrungen beim Waxing – einer kosmetischen Technik der Haarentfernung – zugänglich.
Auf solche Weise Daten zu erheben folgt dem ethnographischen Vorgehen der teilnehmenden Beobachtung. Forscher*innen nehmen beobachtend vor Ort teil und erheben Daten, indem sie Notizen, Protokolle und schließlich Studien erstellen. Mittels eines solchen Forschungsstils können Forscher*innen Erfahrungen in einer Studie zentral setzen, da sie so Erfahrungen selbst machen können und Zugang zu den Erfahrungen anderer erhalten (vgl. Amann/ Hirschauer 1997: 29-30, Breidenstein et al. 2013: 86-87, 103, 177-178).
Im Zuge der Datenerhebung zeigt sich wiederum, dass im Umgang mit Körperhaaren die Bedingungen der binären Geschlechterordnung wirksam werden. Beispielsweise wird in vielen Situationen die dichotome Differenz zwischen Männern und Frauen betont, ohne dass es konkret für die kosmetische Anwendung notwendig zu sein scheint. So erklärt sich, dass für die Analyse und das Hinterfragen der zur Sprache gebrachten Erfahrungen ein geschlechtertheoretisches Konzept herangezogen wird, welches Erfahrungen hinsichtlich der Bedingungen der binären Geschlechterordnung befragen kann. Eine solche Betrachtung der Daten bietet Gesa Lindemanns Konzept „Der leiblich-affektiven Konstruktion des Geschlechts“ (1992).
Basierend auf dem feministisch-phänomenologischen Erfahrungsbegriff, dem ethnographischen Vorgehen und dem Geschlechterkonzept Lindemann zeigt sich, dass Menschen beim Waxing erfahren (können), mit anderen Menschen verbunden und sich selbst unverbunden zu sein. Dabei wird die Haut zum Kristallisationspunkt der Verbindung zu anderen Menschen (und auch Apparaten). Durch die Berührungen wird einerseits Verbundenheit gestaltet und eine gegenseitige Zuwendung erfahrbar, andererseits wird diese aber auch unterbrochen, wenn durch das Waxing Schmerz zugefügt wird oder Menschen durch Blicke entblößt werden. So wird die Haut zum Medium zwischen den Erfahrungen der Verbundenheit und Unverbundenheit.
(Hinweisen möchte ich an dieser Stelle, dass alle Namen und Orte anonymisiert sind. Demnach handelt es sich beim Beautystudio um den anonymisierten Namen des Kosmetikstudios, in welchem ich forschte. Auf diese Weise soll die Persönlichkeit der Kontaktpersonen im Feld gewahrt bleiben.)
Literaturhinweise:
Alcoff, Linda M. (1997): Phänomenologie, Poststrukturalismus und feministische Theorie. Zum Begriff der Erfahrung. In: Stoller, Silvia/ Vetter, Helmuth (Hg.): Phänomenologie und Geschlechterdifferenz. Wien: WUV-Universitäts-Verlag: 227-271.
Amann, Klaus/ Hirschauer, Stefan (1997): Die Befremdung der eigenen Kultur. Ein Programm. In: Hirschauer, Stefan/ Amann, Klaus (Hg.): Die Befremdung der eigenen Kultur: Zur ethnographischen Herausforderung soziologischer Empirie. Frankfurt am Main: Suhrkamp Verlag: 7-52.
Breidenstein, Georg/ Hirschauer, Stefan/ Kalthoff, Stefan/ Nieswand, Boris (2013): Ethnografie. Die Praxis der Feldforschung. Konstanz & München: UVK Verlagsgesellschaft
Labre Peixoto, Magdala (2002): The Brazilian Wax: New Hairlessness Norm for Women? In: Journal of Communication Inquiry: 26 (2): 113-132.
Lindemann, Gesa (1992): Die leiblich-affektive Konstruktion des Geschlechts. Für eine Mikrosoziologie des Geschlechts unter der Haut. In: Zeitschrift für Soziologie: 21 (5): 330-346.
Meyer-Drawe, Käte (2001): Leiblichkeit und Sozialität. München: Wilhelm Fink Verlag.
Stoller, Silvia (2005): Zur poststrukturalistischen Kritik an der Erfahrung im Kontext der feministischen Philosophie. In: Stoller, Silvia/ Vasterling, Veronica/ Fisher, Linda (Hg.): Feministische Phänomenologie und Hermeneutik. Würzburg: Königshausen & Neumann GmbH: 139-170.
Strmljan, Alina (2018): Haare zum Schämen? Weibliche Körperbehaarung und ihre Entfernung – Normen, Tabus und Trivialisierungen. In: Breuss, Susanne (Hg.): Mit Haut und Haar. Frisieren, Rasieren, Verschönern. Wien: Metroverlag: 404-410.
Perfluorocarboxylic acids (PFCA) are substances of anthropogenic origin and have been used for several decades. These compounds are a new class of environmental pollutants. Their high surface activity, thermal stability, amphipathicity and weak intermolecular interactions lead to persistence and bioaccumulation. Therefore, there is a great need for reliable analytical methods for detecting the presence and determination of concentration in both environmental samples and everyday products. GC-MS is a cost-effective alternative and supplement to established LC-MS/MS methods. The greatest challenge in the method development is the derivatization reaction. Many of the previously published derivatization reactions for PFCA are time consuming and require high reaction temperatures or toxic reagents.
In the present dissertation, two new derivatization reactions for PFCA have been developed and optimized. The first part of the thesis shows the development and optimization of the reaction with triethylsilanol in water. In addition to optimizing the reaction, classical solid-phase extraction was modified to simplify the sample preparation.
In the second part of the work, the reaction products of perfluorooctanoic acid (PFOA) with N,N-dimethylformamide dimethyl acetal (DMF-DMA) and -diethyl acetal (DMF-DEA) were identified. From these measurements, it follows that both DMF-DMA and DMF-DEA in the presence of PFOA form an iminium cation, which leads to salt formation. This PFOA salt react further in the GC injector and a corresponding amine is produced.
In the last part of the thesis, an analytical method based on the DMF-DMA reaction was developed. The matrix effects have been described in detail. The method has been successfully applied for three different types of samples: dental floss, textiles and sewage sludge. The results were verified by LC-MS/MS analysis in an external laboratory. The differences between the PFCA values for a spiked sample measured by GC-MS and LC-MS/MS were less than 10%.
Although most plastic pollution originates on land, current research largely remains focused on aquatic ecosystems. Studies pioneering terrestrial microplastic research have adapted analytical methods from aquatic research without acknowledging the complex nature of soil. Meanwhile, novel methods have been developed and further refined. However, methodical inconsistencies still challenge a comprehensive understanding of microplastic occurrence and fate in and on soil. This review aims to disentangle the variety of state-of-the-art sample preparation techniques for heterogeneous solid matrices to identify and discuss best-practice methods for soil-focused microplastic analyses. We show that soil sampling, homogenization, and aggregate dispersion are often neglected or incompletely documented. Microplastic preconcentration is typically performed by separating inorganic soil constituents with high-density salt solutions. Not yet standardized but currently most used separation setups involve overflowing beakers to retrieve supernatant plastics, although closed-design separation funnels probably reduce the risk of contamination. Fenton reagent may be particularly useful to digest soil organic matter if suspected to interfere with subsequent microplastic quantification. A promising new approach is extraction of target polymers with organic solvents. However, insufficiently characterized soils still impede an informed decision on optimal sample preparation. Further research and method development thus requires thorough validation and quality control with well-characterized matrices to enable robust routine analyses for terrestrial microplastics.
Initial goal of the current dissertation was the determination of image-based biomarkers sensitive for neurodegenerative processes in the human brain. One such process is the demyelination of neural cells characteristic for Multiple sclerosis (MS) - the most common neurological disease in young adults for which there is no cure yet. Conventional MRI techniques are very effective in localizing areas of brain tissue damage and are thus a reliable tool for the initial MS diagnosis. However, a mismatch between the clinical fndings and the visualized areas of damage is observed, which renders the use of the standard MRI diffcult for the objective disease monitoring and therapy evaluation. To address this problem, a novel algorithm for the fast mapping of myelin water content using standard multiecho gradient echo acquisitions of the human brain is developed in the current work. The method extents a previously published approach for the simultaneous measurement of brain T1, T∗ 2 and total water content. Employing the multiexponential T∗ 2 decay signal of myelinated tissue, myelin water content is measured based on the quantifcation of two water pools (myelin water and rest) with different relaxation times. Whole brain in vivo myelin water content maps are acquired in 10 healthy controls and one subject with MS. The in vivo results obtained are consistent with previous reports. The acquired quantitative data have a high potential in the context of MS. However, the parameters estimated in a multiparametric acquisition are correlated and constitute therefore an ill-posed, nontrivial data analysis problem. Motivated by this specific problem, a new data clustering approach is developed called Nuclear Potential Clustering, NPC. It is suitable for the explorative analysis of arbitrary dimensional and possibly correlated data without a priori assumptions about its structure. The developed algorithm is based on a concept adapted from nuclear physics. To partition the data, the dynamic behavior of electrically even charged nucleons interacting in a d-dimensional feature space is modeled. An adaptive nuclear potential, comprised of a short-range attractive (Strong interaction) and a long-range repulsive term (Coulomb potential), is assigned to each data point. Thus, nucleons that are densely distributed in space fuse to build nuclei (clusters), whereas single point clusters are repelled (noise). The algorithm is optimized and tested in an extensive study with a series of synthetic datasets as well as the Iris data. The results show that it can robustly identify clusters even when complex configurations and noise are present. Finally, to address the initial goal, quantitative MRI data of 42 patients are analyzed employing NPC. A series of experiments with different sets of image-based features show a consistent grouping tendency: younger patients with low disease grade are recognized as cohesive clusters, while those of higher age and impairment are recognized as outliers. This allows for the definition of a reference region in a feature space associated with phenotypic data. Tracking of the individual's positions therein can disclose patients at risk and be employed for therapy evaluation.
The scientific interest in nonsuicidal self-injury (NSSI) has increased in the last two decades. High prevalence and comorbidity rates, low quality of life and increased risk of suicidality highlight the importance of this research field. The present thesis focuses on intra- and interpersonal factors associated with the development and maintenance of NSSI.
The aim of study 1 was the examination of personality traits of adolescents with NSSI without Borderline Personality Disorder (NSSI-BPD), adolescents with NSSI and BPD (NSSI+BPD), clinical controls (CC) and nonclinical controls (NC). Results showed that adolescents with NSSI disorder scored significantly higher on novelty seeking and harm avoidance and lower on persistence, self-directedness, and cooperativeness than CC. In adolescents with NSSI+BPD this personality pattern was even more pronounced than in adolescents with NSSI-BPD.
Adolescents´ NSSI leads to distress that affects the whole family system, often resulting in conflicts and disrupted family communication and functioning. Parents report feelings of distress, insecurity and helplessness. Adolescents with NSSI report more parental criticism and control and less support than adolescents without NSSI. Study 2 investigated the parenting behavior in families of adolescents with NSSI. Adolescents with NSSI reported less maternal warmth and support than NC adolescents. Mothers of adolescents with NSSI showed higher psychopathology scores than NC mothers and less parental satisfaction than CC and NC mothers.
Siblings are also reported to suffer from changes in family dynamics. The aim of study 3 was to examine the sibling relationship quality of adolescents with NSSI, CC and NC. Siblings reported a wide range of negative emotional and familial consequences as a result of their sister´s NSSI. Siblings of adolescents with NSSI experienced significantly more coercion in the relationship with their sister compared to CC and NC siblings. Adolescents with NSSI reported significantly less warmth and empathy in the sibling relationship and higher rivalry scores between their siblings and themselves than NC adolescents. For both, adolescents with NSSI and their siblings, associations were found between sibling relationship quality and internalizing problems.
Study 4 aimed to further explore the family emotional climate. Therefore, the level of expressed emotion (EE) was assessed in adolescents with NSSI, CC, NC and their mothers. Parental high EE (HEE) is linked to adolescent NSSI, especially parental criticism seems to be strongly associated with NSSI. Previous research into NSSI and EE has focused on parental EE, however, the conceptualization of EE as a unidirectional construct from parent to child may present an incomplete picture. Therefore, the current study included both, adolescent and maternal EE. Adolescents in the NSSI and CC group more often met criteria for HEE than NC. Adolescents with NSSI exhibited significantly more covert criticism and critical tone toward their mothers than CC and NC. HEE of adolescents with NSSI was associated with a range of difficulties in emotion regulation. For the total sample, moderate concordance was found between adolescents and mothers EE-status.
The research presented in this thesis has important clinical implications. The differences in personality traits of adolescents with NSSI with and without BPD underline the need for a dimensional personality assessment as well as specific treatment programs for adolescents with NSSI-BPD. Problems within the family are frequent triggers for NSSI. Therefore, interventions for adolescents with NSSI should include both, the improvement of emotion regulation and family interaction and communication. Along with the reduction of negative relationship aspects, psychotherapy should also focus on the enhancement of positive relationship quality. The emotional burden of family members stresses the need for emotional and practical support for parents and siblings.
Die Forschungsarbeit beschäftigt sich mit der zentralen Frage, welche Erfolgsfaktoren einen Effekt auf eine erfolgreiche Crowdfunding Kampagne haben. Als Untersuchungsfeld stehen deutsche Startup-Unternehmen im Fokus, die bereits erfolgreiche CrowdfundingKampagnen durchgeführt haben.
Zur Beantwortung dieser Frage wird zunächst eine systematische Literaturanalyse durchgeführt, durch die relevante Erfolgsfaktoren für eine Crowdfunding-Kampagne ermittelt werden. Diese Faktoren werden anschließend einem Mixed-Method-Ansatz unterzogen, bei dem qualitative Ergebnisse, basierend auf einer Fallstudienforschung, mit den statistisch ausgewerteten quantitativen Ergebnissen aus der Fragebogenforschung verglichen und überprüft werden. Dabei liegt der Fokus insbesondere auf der Identifikation von signifikanten Wirkungszusammenhängen zwischen den Erfolgsfaktoren und einer erfolgreichen Crowdfunding-Kampagne.
Im Ergebnis konnten diesbezüglich Wirkungszusammenhänge innerhalb dieser Thesis nachgewiesen werden. Sechs der festgestellten Zusammenhänge aus der qualitativen Analyse werden durch die quantitative Analyse bestätigt. Es konnte jedoch keine Signifikanz der Korrelationen festgestellt werden. Auch die Hypothese, dass sich die Erfolgsaussichten einer Kampagne durch eine höhere Anzahl jeweils kombinierter Erfolgsfaktoren erhöhen, wurde sowohl in der qualitativen als auch in der quantitativen Betrachtung widerlegt. Demnach galt es für den Autor der vorliegenden Thesis künftige Forschungsfelder zu definieren, die die ermittelten Ergebnisse erweitern und konkretisieren. Es bleibt beispielsweise einer weiterführenden Forschung überlassen, zu klären, ob bestimmte Kombinationen der Erfolgsfaktoren zu signifikanten Wirkungszusammenhängen führen. Darüber hinaus bietet sich eine weiterführende statistische Regressionsanalyse an, um die kausalen Effekte zu untersuchen und Prognosen für erfolgreiche Crowdfunding-Kampagnen zu formulieren.
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.
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.
Eine zutreffende Diagnose über den aktuellen Kenntnisstand der jeweiligen Schülerinnen und Schüler ist notwendig, um adäquat in Gruppenarbeitsprozesse intervenieren zu können. Von diesem Zusammenhang wird in der Literatur weit-gehend ausgegangen, jedoch gibt es bisher kaum empirische Studien, die diesen belegen. Die vorliegende Arbeit widmet sich schwerpunktmäßig dem Interventi-onsverhalten von Studierenden. Dabei wird die prozessdiagnostische Fähigkeit „Deuten“ zugrundegelegt, um unterschiedliches Interventionsverhalten auf diese Fähigkeit zurückführen zu können. Sowohl beim Aufbau diagnostischer Fähig-keiten als auch bei der (Weiter-)Entwicklung des eigenen Lehrerhandelns gilt Reflexion als hilfreich. Entsprechend wird auch das Zusammenspiel von Pro-zessdiagnose und Reflexionsverhalten sowie von Interventionsverhalten und Reflexionsverhalten untersucht.
Für die Erhebung der prozessdiagnostischen Fähigkeit „Deuten“ wurden drei Videovignetten erstellt und in das Videodiagnosetool ViviAn eingebunden. Die Videovignetten zeigen jeweils vier Schülerinnen, die sich mit dem Thema „Ter-me“ beschäftigen. Im Rahmen eines Lehr-Lern-Labores wurden über vier Se-mester hinweg alle teilnehmenden Studierenden dazu angehalten, die Videovig-netten zu bearbeiten. Ebenso konzipierten sie jeweils zu dritt eine Laborstation im Mathematik-Labor „Mathe ist mehr“ und erprobten diese mit einer Schul-klasse. Dabei wurden die Interventionen der Studierenden in die Gruppenarbeits-prozesse der Schülerinnen und Schüler videographiert. Anschließend reflektierten die Studierenden in Kleingruppen über die Erprobungen und über die getätigten Interventionen. Die Reflexionsgespräche wurden ebenfalls videographiert.
Es zeigt sich, dass die Studierenden, die sich zum Zeitpunkt der Erhebung im Masterstudium befanden, noch Entwicklungsspielraum in Bezug auf ihre pro-zessdiagnostische Fähigkeit „Deuten“ besitzen. Im Hinblick auf die Interventio-nen waren responsive Interventionen häufiger angemessen als invasive Interven-tionen, wobei responsive Internvetionen auch vergleichsweise häufiger dazu führten, dass mehr Schülerinnen und Schüler nach der Intervention aktiv waren. Studierende mit höherer prozessdiagnostischer Fähigkeit „Deuten“ intervenierten jedoch häufiger invasiv und tätigten dabei trotzdem angemessenere und aktivie-rendere Interventionen als ihre Kommilitoninnen und Kommilitonen. Entspre-chend scheint sich die prozessdiagnostische Fähigkeit „Deuten“ positiv auf die Interventionen der Studierenden auszuwirken und sollte daher bereits im Rah-men des (Lehramts-)Studiums verstärkt geschult werden.
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.
Social media platforms such as Twitter or Reddit allow users almost unrestricted access to publish their opinions on recent events or discuss trending topics. While the majority of users approach these platforms innocently, some groups have set their mind on spreading misinformation and influencing or manipulating public opinion. These groups disguise as native users from various countries to spread frequently manufactured articles, strong polarizing opinions in the political spectrum and possibly become providers of hate-speech or extremely political positions. This thesis aims to implement an AutoML pipeline for identifying second language speakers from English social media texts. We investigate style differences of text in different topics and across the platforms Reddit and Twitter, and analyse linguistic features. We employ feature-based models with datasets from Reddit, which include mostly English conversation from European users, and Twitter, which was newly created by collecting English tweets from selected trending topics in different countries. The pipeline classifies language family, native language and origin (Native or non-Native English speakers) of a given textual input. We evaluate the resulting classifications by comparing prediction accuracy, precision and F1 scores of our classification pipeline to traditional machine learning processes. Lastly, we compare the results from each dataset and find differences in language use for topics and platforms. We obtained high prediction accuracy for all categories on the Twitter dataset and observed high variance in features such as average text length especially for Balto-Slavic countries.