The 10 most recently published documents
Identification and quantitative segmentation of individual blood vessels in mice visualized with preclinical imaging techniques is a tedious, manual or semiautomated task that can require weeks of reviewing hundreds of levels of individual data sets. Preclinical imaging, such as micro-magnetic resonance imaging (μMRI) can produce tomographic datasets of murine vasculature across length scales and organs, which is of outmost importance to study tumor progression, angiogenesis, or vascular risk factors for diseases such as Alzheimer’s. Training a neural network capable of accurate segmentation results requires a sufficiently large amount of labelled data, which takes a long time to compile. Recently, several reasonably automated approaches have emerged in the preclinical context but still require significant manual input and are less accurate than the deep learning approach presented in this paper—quantified by the Dice score. In this work, the implementation of a shallow, three-dimensional U-Net architecture for the segmentation of vessels in murine brains is presented, which is (1) open-source, (2) can be achieved with a small dataset (in this work only 8 μMRI imaging stacks of mouse brains were available), and (3) requires only a small subset of labelled training data. The presented model is evaluated together with two post-processing methodologies using a cross-validation, which results in an average Dice score of 61.34% in its best setup. The results show, that the methodology is able to detect blood vessels faster and more reliably compared to state-of-the-art vesselness filters with an average Dice score of 43.88% for the used dataset.
EMDR-Therapie im Vergleich zu EMDR-Therapie, erweitert durch taktilen und auditorischen Stimulus
(2023)
EMDR (Eye Movement Desensitization and Reprocessing) ist ein neurobiologisch orientierter psychotherapeutischer Ansatz zu Behandlung von posttraumatischen Belastungsstörungen (PTBS) und anderen belastenden Lebensereignissen. Dabei werden Augenbewegungen eingesetzt, um die Verarbeitung und Integration traumatischer Erinnerungen zu erleichtern. Diese nichtinterventionelle Anwendungsbeobachtung untersucht die Bedeutung von Augenbewegungen in EMDR und potenzielle Vorteile der Einbeziehung auditiver und taktiler Reize in die Therapie.
In the fast-growing but also highly competitive market of battery-powered power tools, cell-pack-cooling systems are of high importance, as they guarantee safety and short charging times. A simulation model of an 18 V power tool battery pack was developed to be able to evaluate four different pack-cooling systems (two heat-conductive polymers, one phase change material, and non-convective air as reference) in an application scenario of practical relevance (the intensive use of a power tool followed by cooling down and charging steps). The simulation comprises battery models of 21700 cells that are commercially available as well as heat transfer models. The study highlights the performance of the different cooling materials and their effect on the maximum pack temperature and total charging cycle time. Key material parameters and their influence on the battery pack temperature and temperature homogeneity are discussed. Using phase change materials and heat-conductive polymers, a significantly lower maximum temperature during discharge (up to 26%) and a high shortening potential of the use/charging cycle (up to 32%) were shown. In addition to the cooling material sweep, a parameter sweep was performed, varying the external temperature and air movement. The high importance of the conditions of use on the cooling system’s performance was illustrated.
Das Ziel der vorliegenden Arbeit ist die Ermittlung der Genauigkeit und Reproduzierbarkeit des Smartphone-gestützten, mobilen Refraktionssystems EyeNetra im Vergleich zur herkömmlichen Refraktion mit dem DNEye Scanner und dem Phoropter. Zudem wird die Messgenauigkeit von Netra mit einem auf einem ähnlichen Messprinzip basierenden Gerät namens EyeQue verglichen.
Die Studie beschäftigt sich mit den Schwierigkeiten, welche bei der Kommunikation zwischen Menschen, die die Lautsprache benutzen und Menschen, die gebärden, entstehen. Das Ziel der vorliegenden Arbeit war, zu erfassen, worin diese Schwierigkeiten bestehen und wie sie in Zukunft gelöst oder gar vermieden werden können.
As systems grow in complexity, the interdisciplinary nature of systems engineering makes the visualization and comprehension of the underlying system models challenging for the various stakeholders. This, in turn, can affect validation and realization correctness. Furthermore, stakeholder collaboration is often hindered due to the lack of a common medium to access and convey these models, which are often partitioned across multiple 2D diagrams. This paper contributes VR-SysML, a solution concept for visualizing and interacting with SysML models in Virtual Reality (VR). Our prototype realization shows its feasibility, and our evaluation results based on a case study shows its support for the various SysML diagram types in VR, cross-diagram element recognition via our backplane followers concept, and depicting further related (SysML and non-SysML) models side-by-side in VR.
With the increasing pressure to deliver additional software functionality, software engineers and developers are often confronted with the dilemma of sufficient software testing. One aspect to avoid is test redundancy, and measuring test (or code or statement) coverage can help focus test development on those areas that are not yet sufficiently tested. As software projects grow, it can be difficult to visualize both the software product and the software testing area and their dependencies. This paper contributes VR-TestCoverage, a Virtual Reality (VR) solution concept for visualizing and interacting with test coverage, test results, and test dependency data in VR. Our VR implementation shows its feasibility. The evaluation results based on a case study show its support for three testing-related scenarios.