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CardioLab: Laboratory values estimation from electrocardiogram features - An exploratory study
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In die Siedlungsschichten des alten Israel hinabsteigen: neue Ausgrabungen in der Megapolis Hazor
No full textHazor ist eine der Mega-Ausgrabungsstätten in Israel und bietet Einblick in 21 (!) Besiedlungsschichten. Neue Forschungen möchten herausfinden, wie die Übergänge von einer Besiedlungsphase zur nächsten verlief. Verrät uns das Innere des Hügels etwas darüber, wie aus „Kanaanäern“ „Israeliten“ wurden
The Value of Resources in Common Property Regimes for Actors’ Well-being: A comparative example of seed commons in societies of affluence and scarcity using the capability approach
Get PDFSeeds and varieties are frequently managed in commons institutions around the world, referred to as seed commons. Economically, transaction costs are high in these property regimes compared to private property seeds. The hypothesis is that commons raise commoners‘ well-being by providing them with diverse economic, social, ecological and cultural benefits. The research question: In what way do seed
commons influence farmer-breeders‘ individual well-being, visible in the capabilities they enable or prohibit? Eleven capabilities are distilled from case study research in the Philippines and Germany. Farmerbreeders benefit from an interwoven set of assets they gain by active involvement in their seed commons community, including economic security, professional and personal support, knowledge gains and
improvements in critical thinking. In fact, this research suggests that it might be beneficial to consider commons more frequently as a go-to property regime for the 21st century
Belastungserleben von Angehörigen von Menschen ohne Lautsprache
Get PDFZahlreiche Erkrankungen können zu fehlender oder stark beeinträchtigter Lautsprache führen. Menschen ohne Lautsprache können von Maßnahmen der Unterstützten Kommunikation (UK) profitieren und sind in der Regel auf Unterstützung und/oder Pflege durch Angehörige angewiesen. Die im Rahmen der vorliegenden Dissertation durchgeführten Studien haben gezeigt, dass es signifikante Zusammenhänge zwischen der Angehörigenbelastung und ihrer Einschätzung der gesundheitsbezogenen Lebensqualität und Funktionsfähigkeit von Menschen ohne Lautsprache gibt. Es konnte der positive Einfluss einer komplexen UK-Intervention auf die Belastung gezeigt werden. Des Weiteren wurden Stressoren, Ressourcen und Coping-Strategien der Angehörigen identifiziert. Auf Basis der gewonnenen Ergebnisse werden mögliche Implikationen zur Berücksichtigung der pflegebezogenen Belastung in zukünftigen Studien mit Angehörigen sowie zur Entwicklung von (UK-)Interventionen mit einer ganzheitlichen, systemischen Sichtweise auf Menschen ohne Lautsprache und ihre Familien diskutiert
Selective recognition by nanoparticle-imprinted thin films
Get PDFAs the utilization of artificial nanoparticles (NPs) continues to rise, there is a growing need for analytical tools capable of not only detecting NPs but also distinguishing them based on properties influencing their toxicological potential. These properties include the chemical composition of the core and ligand shell, as well as size, shape, and specific interactions with biological interfaces. Nanoparticle-imprinted matrices (NAIM) are a recent concept for detecting and sensing NPs by considering their size, shape, and surface charge. Like molecularly imprinted polymers (MIP), NAIM involves creating a polymeric matrix around template NPs attached to a substrate. After removing the template NPs, complementary cavities are formed, enabling selective capture of analyte NPs with comparable size and shape to the original templates.
In contrast to the previous NAIM systems, where conducting template NPs were used, insulating template NPs like carboxyl and amine-modified silica (SiO2) NPs, and sulfate-modified polystyrene (PS) NPs are used in this thesis to imprint the cavities. This enables the removal of the template and the detection of analyte NPs through orthogonal methods. The thorough removal of template NPs and the resulting cavities were investigated using scanning electron microscopy (SEM) and atomic force microscopy (AFM). This thesis outlines various methods for tuning the matrix to enhance its affinity for the analyte NPs. This was achieved through the electrodeposition of matrices with beneficial functional groups or through post-covalent modification of the matrix. The quantification of analyte NPs within the cavities was determined through the charge transferred during the electrodissolution of analyte NPs using linear sweep voltammetry (LSV). The uptake depends on factors such as the functional groups present in the matrix, covalent modification, the pH during uptake, and the size matching of the template and analyte NPs. The electrodeposition and covalent modification of the matrix were examined with cyclic voltammetry (CV), and the presence of functional groups in the film was validated through X-ray photoelectron spectroscopy (XPS)
Niedrigkoordinierte Germaniumverbindungen zwischen zweidimensionalen Cyclen und dreidimensionalen Clustern
Get PDFIn der vorliegenden Arbeit wurden cyclische und polyedrische Molekülverbindungen niedrigkoordinierten Germaniums in Kooperativität mit Kohlenstoff, Bor oder Aluminium als zweites reaktives Zentrum synthetisiert und charakterisiert. Insbesondere wurde dabei der Einfluss der Substituenten des zweiten Hauptgruppenelements auf die elektronische Situation und die Konstitutionsisomerie der betrachteten Verbindungen untersucht. Experimentell sowie durch DFT-Rechnungen unterstützt, konnte für NHC-stabilisierte Germacyclopentadienylidene ein ausgeprägter nucleophiler Charakter gezeigt werden. Bei Boragerma[5]pyramidanen wurde ein geringer Substituenteneffekt auf die nido-Struktur der Borol-Germanium-Komplexe festgestellt. Für Aluminagerma[5]pyramidane hingegen wurde ein erheblicher Einfluss des Substituenten des Aluminiums demonstriert, der je nach Donorfähigkeit zu Alumol-Germanium-, Germol-Aluminylen-Komplexen oder zu einem Gleichgewicht zwischen beiden Konstitutionsisomeren führte
Ensuring Inter-Model Consistency
Get PDFIncreasing size, complexity and heterogeneity of software-intensive systems make it nearly impossible that single persons develop a whole system. Therefore, different stakeholders work on tailored models which represent parts of the same system. Thus these models semantically depend on each other and must be kept consistent to each other.
This thesis introduces MoConseMI (MOdel CONSistency Ensured by Metamodel Integration) for automatically ensuring inter-model consistency. MoConseMI integrates existing models into a Single Underlying Model (SUM) by chains of configured operators. These operators propagate changes between models and the SUM to re-establish the consistency after changes in any of the models.
MoConseMI is successfully applied to several examples. In addition to this broad applicability, the evaluation shows, that the designed operators are reusable and reduce the configuration effort
SonicGuard sensor: a multichannel acoustic sensor for long-term monitoring of abdominal sounds examined through a qualification study
No full textAuscultation is a fundamental diagnostic technique that provides valuable diagnostic information about different parts of the body. With the increasing prevalence of digital stethoscopes and telehealth applications, there is a growing trend towards digitizing the capture of bodily sounds, thereby enabling subsequent analysis using machine learning algorithms. This study introduces the SonicGuard sensor, which is a multichannel acoustic sensor designed for long-term recordings of bodily sounds. We conducted a series of qualification tests, with a specific focus on bowel sounds ranging from controlled experimental environments to phantom measurements and real patient recordings. These tests demonstrate the effectiveness of the proposed sensor setup. The results show that the SonicGuard sensor is comparable to commercially available digital stethoscopes, which are considered the gold standard in the field. This development opens up possibilities for collecting and analyzing bodily sound datasets using machine learning techniques in the future
