Abstract Introduction: Increasing numbers of ambulance calls, vacant positions and growing workloads in Emergency Medicine (EM) are increasing the pressure to find adequate solutions. With telemedicine providing health-care services by bridging large distances, connecting remote providers and even patients while using modern communication technologies, such a technology seems beneficial. As the process of developing an optimal solution is challenging, a need to quantify involved processes could improve implementation. Existing models are based on qualitative studies although standardised questionnaires for factors such as Usability, Acceptability and Effectiveness exist. Methods: A survey was provided to participants within a German county. It was based on telemedical-surveys, the System Usabilty Scale (SUS) and earlier works describing Usability, Acceptability and Effectiveness. Meanwhile the investigated county introduced a telemedical system. A comparison between user-groups and an exploratory factor analysis (EFA) was performed. Results: Of n=91 included participants n=73 (80,2 %) were qualified as emergency medical staff (including paramedics (39,56 %), EMTs (30,77 %), call handlers (9,89 %)) and n=18 (19,8%) as emergency physicians. Most participants approved that telemedicine positively impacts EM and improved treatment options with an overall Usabilty Score of 68,68. EFA provided a 3-factor solution involving Usability,Acceptability and Effectiveness. Discussion: With our results being comparable to earlier studies but telemedicine only having being sparsely introduced, a positive attitude could still be attested. While our model could only describe 51,28% of the underlying factors of implementation, more research is needed to identify these. We showed that Usability is correlated with Acceptability (strong effect), Usability and Effectiveness with a medium effect, likewise Acceptability and Effectiveness. Therefore we see a need to improve available systems. Our approach can provide as a guide for decision makers and developers, that a focus during implementation should be on improving usability and on a quantifiable data driven implementation process.

Abstract Quantum computing is an exciting field with high disruptive potential, but very difficult to access. For this reason, numerous concepts are being developed worldwide on how quantum computing can be taught. This always raises questions about the didactic concept, the content actually taught, and how to measure the success of the teaching concept. In 2022 and 2023, the authors gave a total of nine two-week MOOCs (massive open online courses) with different possible learning paths on the Hasso Plattner Institute's OpenHPI platform. The platform's purpose is to make computer science education available to everyone free of charge. The nine quantum courses form a self-contained curriculum. A total of 17157 course attendances have been taken by 7413 natural persons, and the number is still rising. This paper presents the course concept and then evaluates the anonymized data on the background of the participants, their behavior in the courses, and their learning success. In the present paper for the first time such a large dataset of MOOC-based quantum computing education is analyzed. The summarized results are a heterogeneous personal background of the participants biased towards IT professionals, a majority following the didactic recommendations, and a high success rate, which is strongly correlatatd to following the didactic recommendations. The amount of data from such a large group of quantum computing learners offers numerous starting points for further research in the field of quantum computing education.

AbstractZur Bewertung der Ermüdungsfestigkeit von Hohlprofilknoten wird bevorzugt das Strukturspannungskonzept herangezogen. Die Bestimmung der entsprechenden Beanspruchungskennwerte kann grundsätzlich anhand verschiedener Methoden erfolgen. Diesbezüglich wird überwiegend die Methode der Oberflächenextrapolation angewandt, welche in normativen Regelwerken fest verankert ist. Im Rahmen des Beitrags wird neben diesem etablierten Verfahren das Konzept der Innenlinearisierung näher erläutert, da hierzu in einschlägigen Regelwerken nur weniger detaillierte Anwendungshinweise formuliert sind. Darüber hinaus wird ein alternativer Ansatz vorgestellt, der es prinzipiell ermöglicht, Strukturspannungen direkt dem Berechnungsmodell zu entnehmen. Um eine aussagekräftige Bewertung der Vergleichbarkeit und Allgemeingültigkeit der Verfahren vornehmen zu können, wurden Untersuchungen an K‐, Y‐ sowie KK‐Knoten durchgeführt. Die Ergebnisse werden abschließend gegenübergestellt.

This paper presents a compact model for the DC current of Schottky barrier field-effect transistors at deep cryogenic temperatures, close to absolute zero kelvin. The proposed model is physics based and calculates the injection current over a device’s Schottky barriers, by considering physical effects at these temperatures (e.g. quantum oscillations, band tail effect, phonon-assisted tunneling, etc.). For model verification, it is compared to measurements performed on nanowire Schottky barrier transistors at a temperature of 5.5K.

This note concerns the study of an approximation linear positive process introduced by R. Paltanea in 2008. Considering the impact of this class of operators that depends on two parameters, in a distinct section we present a brief radiograph of the main properties highlighted over time in various papers. Our contribution materializes in the definition and study of the approximation properties of the King variant of these operators.

Wireless Body Area Networks (WBANs) are an emerging industrial technology for monitoring physiological data. These networks employ medical wearable and implanted biomedical sensors aimed at improving quality of life by providing body-oriented services through a variety of industrial sensing gadgets. The sensors collect vital data from the body and forward this information to other nodes for further services using short-range wireless communication technology. In this paper, we provide a multi-aspect review of recent advancements made in this field pertaining to cross-domain security, privacy, and trust issues. The aim is to present an overall review of WBAN research and projects based on applications, devices, and communication architecture. We examine current issues and challenges with WBAN communications and technologies, with the aim of providing insights for a future vision of remote healthcare systems. We specifically address the potential and shortcomings of various Wireless Body Area Network (WBAN) architectures and communication schemes that are proposed to maintain security, privacy, and trust within digital healthcare systems. Although current solutions and schemes aim to provide some level of security, several serious challenges remain that need to be understood and addressed. Our aim is to suggest future research directions for establishing best practices in protecting healthcare data. This includes monitoring, access control, key management, and trust management. The distinguishing feature of this survey is the combination of our review with a critical perspective on the future of WBANs.

This paper presents a novel technique for the mass flow rate determination of particulate solids called the "Sliding Mass Technique". The mass flow rate is a measure of the mass of a substance that passes through a given cross-sectional area per unit time. Its calculation requires simultaneous detection of the concentration and velocity of the Material Under Test. A novel measurement technique is designed for determining the concentration of the mass flow without the necessity for density evaluation. The mass flow rate is determined by fusing the established concentration results with velocity results obtained from "Microwave Spatial Filtering Velocimetry". A new metamaterial-based mass flow sensor for particulate solids was designed, realized and measured in an industrial environment. A Software-Defined Radio (Ettus Research™'s USRP B210) was utilized as a sensor electronic system for DAQ purposes. A MATLAB app was developed to operate the SDR. Measurements were carried out on-site using a state-of-the-art wood pellet heating system with wood pellets with different moisture contents. The measurement results were found to be in very good agreement with the expected results, which strengthens the feasibility of this newly proposed measurement technique.

Fused deposition modeling (FDM) three-dimensional (3D) printing is commonly used by small factories, entrants, and families owing to its ease of use and speed. However, certain studies have shown that during the manufacturing process, particulate matter (PM) and volatile organic compounds (VOCs) are harmful to the respiratory system, and that carbon emissions associated with energy consumption can contribute to global warming. These studies considered only virgin filaments and not recycled filaments. Considering the importance of plastic recycling for achieving circular economy targets, the sustainability of recycled filaments much be investigated. This study used grey relational analysis to determine the multi-objective optimal printing parameters for virgin and recycled filaments on the human health and carbon emissions impacts and thus provide a reference for the “circularization” of filament materials. The experimental results indicate that the orientation angle, layer height, and heatbed temperature are the three most important parameters affecting human health and carbon emissions in recycled filaments. The optimal printing parameters showed an improvement of 20.24 % for all objectives, and the PM reached 54.02 %. Furthermore, based on a life-cycle assessment, the use of optimal printing parameters can decrease lifecycle emissions by 21.7 %.