Publikationsserver der Ostbayerischen Technischen Hochschule Regensburg
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Material characterization using waveguide measurement technique for the development of textile antennas
No full textSignificant advances in using conductive textiles have been made over the past two decades, particularly in knitted fabrics. The aim is to deepen understanding of how knitted structures, especially those with hybrid yarns containing fine conductive elements (microwires), interact with electromagnetic fields. To establish simulation models that align with subsequent measurements, it is crucial to determine the dielectric properties, specifically relative permittivity and loss tangent/conductivity. This research investigates whether knitted structures with hybrid yarns exhibit anisotropic permittivity, meaning different dielectric properties along orthogonal axes within the fabric plane. These properties were measured using a waveguide technique, whereby the structures were rotated by 90° to observe changes. The results demonstrate that the knitted structure exhibits metallic-like reflective behavior in one direction, while rotation leads to dielectric material characteristics. This effect is influenced by the number of conductive microwires and the
materials used for these wires, such as silver-plated copper or bronze
Mechanistic analysis of pelvic floor functionality using musculoskeletal simulation
No full textThere is consensus that knowledge about the fundamentals of the pelvic floor remains incomplete, particularly regarding the sensitivity of individual pelvic floor muscles to posture variations. This study aimed to investigate the effects of variations in pelvic tilt and the point of force application induced by changes in posture on pelvic floor activity using musculoskeletal simulation. A parameter study analysed various loading cases, highlighting the coherent response of
individual pelvic floor muscles to loads. Muscle activities and forces were compared across different force application points and pelvic tilt angles. A key finding was identifying peak muscle activity conditions that could help better understand the causes of pelvic floor disorders
Planetare Gesundheit erfordert vernetztes Denken: ein blinder Fleck in der Bloomʼschen Lernzieltaxonomie?
No full textData-proximal Neural Networks for Limited-view CT
No full textLimited-angle computed tomography (CT) requires solving an inverse problem that is both ill-conditioned and underdetermined. In recent years, learned reconstruction methods have proven highly effective in addressing this challenge. Most of these methods follow a two-step process: first, an initial reconstruction method is applied to the data to generate an auxiliary reconstruction; second, a neural network is used to map the auxiliary reconstruction closer to the ground truth images. However, when applied to unseen data, there are no guarantees that the network’s output will remain consistent with the available measurement data. To address this, we recently introduced a data-proximal network architecture. In this paper, we implement this approach for limited-angle CT and compare its performance with a standard residual network and a null space network
Bildverarbeitung für die Medizin 2025
No full textDie Konferenz "BVM - Bildverarbeitung für die Medizin" ist seit vielen Jahren als die nationale Plattform für den Austausch von Ideen und die Diskussion der neuesten Forschungsergebnisse im Bereich der Medizinischen Bildverarbeitung und der Künstlichen Intelligenz (KI) etabliert. Auch 2025 werden wir aktuelle Forschungsergebnisse vorstellen und Gespräche zwischen (jungen) Wissenschaftler*innen, Industrie und Anwender*innen vertiefen. Die Beiträge dieses Bandes – die meisten davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere die Bildgebung und -akquisition, Segmentierung und Analyse, Registrierung, Visualisierung und Animation, computerunterstützte Diagnose sowie bildgestützte Therapieplanung und Therapie. Hierbei kommen Methoden des maschinellen Lernens, der biomechanischen Modellierung sowie der Validierung und Qualitätssicherung zum Einsatz. Das Kapitel "Leveraging multiple total body segmentators and anatomy-informed post-processing for segmenting bones in Lung CTs" ist unter einer Creative Commons Attribution 4.0 International License über link.springer.com frei verfügbar (Open Access). Die Herausgebenden Prof. Palm forscht im Bereich KI für die Medizin mit einem Schwerpunkt in der Analyse endoskopischer Bilddaten zur computerunterstützten Diagnose und Therapie. Prof. Breininger entwickelt robuste Ansätze des maschinellen Lernens in verschiedenen interdisziplinären Bereichen, mit einem Schwerpunkt auf medizinischen Bilddaten. Prof. Deserno forscht in Biosignal- und Bilderzeugung und -verarbeitung, insbesondere in der videobasierten Vitaldatenmessung. Prof. Handels entwickelt problemoptimierte, lernfähige Bildverarbeitungsmethoden und integriert diese in hybride Bildverarbeitungssysteme zur Unterstützung der medizinischen Diagnostik und Therapie. Prof. Maier entwickelt Anwendungen in der medizinischen Bildverarbeitung zur Diagnoseunterstützung bis hin zur Schichtbildberechnung durch künstliche Intelligenz. Prof. Maier-Hein forscht im Bereich maschinelles Lernen und entwickelt Open-Source-Lösungen wie das Medical Imaging Interaction Toolkit (MITK), Kaapana oder das nnU-Net. Prof. em. Tolxdorff ist Experte für maschinelles Lernen, biomedizinisches Datenmanagement, Datenvisualisierung und -analyse sowie Medizinproduktentwicklung in klinischen Workflows
Megatrends, recent developments, its impact on logistics processes and possible reactions - a bavarian perspective
No full textMegatrends have a high impact on logistics processes. Nevertheless some companies are still hesitating to start initiatives to react to it. Therefore this paper gives an overview of the impact of megatrends on logistics processes. It then gives examples of innovative logistical solutions, how companies can react to these trends and even improve processes and thus create a competitive advantage with a special focus on Bavarian political, industrial and academic initiatives
Privacy Challenges in Genomic Data: A Scoping Review of Risks, Mitigation Strategies, and Research Gaps.
No full textAdvances in genomic research have created new privacy challenges. This scoping review analyzes the risks associated with the processing, storage, and sharing of genomic data including epigenetics, and examines current privacy protection strategies. It also attempts to identify research gaps in this area. Using the PRISMA methodology, 37 relevant studies were identified and analyzed. The results of the risk assessment can be grouped into four main themes: Risks posed by processing of functional genomic data, sharing of genomic data, patient (re-)identification, and dividuality, i.e. the extending of privacy risks to blood relatives. The identified risk mitigation strategies were systematically categorized into five classes: pre-release measures, governance, secure data processing and exchange, access restriction and transparency, anonymization and masking. However, there are some important research gaps that still need to be addressed. The current literature neglects to assess the likelihood of potential breaches and tends to focus only on assessing possible scenarios of privacy risks. It also mainly fails to assess the role of contextualized data and the effectiveness of policies and governance systems with respect to privacy risks
A Framework for Rigorous Execution and Presentation of Expert Interviews in IS and Digital Transformation Research
No full textThis article addresses the inconsistent conceptualization of expert interviews in information systems (IS) research by providing a structured framework for their rigorous execution and presentation. Through a thematic analysis of 28 method-relevant papers, key characteristics and good practices for executing expert interviews are identified. Additionally, 39 highly cited IS studies were reviewed to examine expert interview utilization in IS research and to identify good practices for presenting expert interview outcomes, which are further validated on nine digital transformation (DT) studies. Our findings highlight the adaptability and varied applications of expert interviews in IS research and offer recommendations to strengthen rigor in their preparation, execution, and presentation of outcomes. Theoretical and practical implications are provided to guide a more systematic and rigorous use of expert interviews in IS research
Heimatliebe, Nationalstolz und Rassismus - Einzelmeinung oder Trend?
No full textSpricht hierzulande jemand von „Rechtsextremismus“ werden damit üblicherweise Einstellungsmuster und Verhaltensweisen von Deutschen assoziiert. Wenig Beachtung findet bislang, wie verbreitet entsprechende Einstellungen und Verhaltensweisen bei Migrant_innen sind und ob das Beobachtete mit der Zuschreibung „Rechtsextremismus“ treffend benannt ist. Die Fachinformationsstelle Rechtsextremismus in München (firm) wollte einen Beitrag zur Klärung liefern und führte von 2009 bis 2013 ein Projekt dazu durch