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Der Impuls von Remi Maier-Rigaud behandelt die Einführung der europäischen Gesundheitsunion als Reaktion auf die begrenzten Handlungsmöglichkeiten der Europäischen Union (EU) im Bereich der Gesundheitspolitik während der Coronapandemie. Die Gesundheitsunion wurde geschaffen, um die koordinierte Reaktion auf grenzüberschreitende Gesundheitsgefahren zu verbessern. Maier-Riguad beleuchtet im Beitrag die Vorteile einer europäischen Gesundheitspolitik, betont jedoch, dass die Frage der ausreichenden Vorbereitung auf zukünftige Gesundheitskrisen offen bleibt.
In memoriam Willy Lehnert
(2023)
Auf dem Weg zum Briefkasten zu dem Zweck, eine Arbeitsunfähigkeitsbescheinigung an den Arbeitgeber zu versenden, befinden sich Beschäftigte auf einem versicherten Betriebsweg. Dem Erstattungsanspruch der Krankenkasse wegen der Behandlungskosten nach einem Sturz steht auch die bestandskräftige Ablehnung eines Arbeitsunfalls durch den Unfallversicherungsträger nicht entgegen.
Spektroskopische Qualifizierung und Quantifizierung von Hyaluronsäure in Nahrungsergänzungsmitteln
(2023)
Psychische Beeinträchtigungen nach Arbeitsunfällen – Probleme der Rechtsanwendung und Begutachtung
(2023)
Forget it!
(2023)
Twitchen als Kulturtechnik
(2023)
Die Maschine als Schöpferin
(2023)
There has been a growing interest in taste research in the HCI and CSCW communities. However, the focus is more on stimulating the senses, while the socio-cultural aspects have received less attention. However, individual taste perception is mediated through social interaction and collective negotiation and is not only dependent on physical stimulation. Therefore, we study the digital mediation of taste by drawing on ethnographic research of four online wine tastings and one self-organized event. Hence, we investigated the materials, associated meanings, competences, procedures, and engagements that shaped the performative character of tasting practices. We illustrate how the tastings are built around the taste-making process and how online contexts differ in providing a more diverse and distributed environment. We then explore the implications of our findings for the further mediation of taste as a social and democratized phenomenon through online interaction.
Geschäftsprozess-Management
(2023)
Trueness and precision of milled and 3D printed root-analogue implants: A comparative in vitro study
(2023)
Thermo-chemical conversion of cucumber peel waste for biobased energy and chemical production
(2022)
In the design of robot skills, the focus generally lies on increasing the flexibility and reliability of the robot execution process; however, typical skill representations are not designed for analysing execution failures if they occur or for explicitly learning from failures. In this paper, we describe a learning-based hybrid representation for skill parameterisation called an execution model, which considers execution failures to be a natural part of the execution process. We then (i) demonstrate how execution contexts can be included in execution models, (ii) introduce a technique for generalising models between object categories by combining generalisation attempts performed by a robot with knowledge about object similarities represented in an ontology, and (iii) describe a procedure that uses an execution model for identifying a likely hypothesis of a parameterisation failure. The feasibility of the proposed methods is evaluated in multiple experiments performed with a physical robot in the context of handle grasping, object grasping, and object pulling. The experimental results suggest that execution models contribute towards avoiding execution failures, but also represent a first step towards more introspective robots that are able to analyse some of their execution failures in an explicit manner.
Alkaline methanol oxidation is an important electrochemical process in the design of efficient fuel cells. Typically, a system of ordinary differential equations is used to model the kinetics of this process. The fitting of the parameters of the underlying mathematical model is performed on the basis of different types of experiments, characterizing the fuel cell. In this paper, we describe generic methods for creation of a mathematical model of electrochemical kinetics from a given reaction network, as well as for identification of parameters of this model. We also describe methods for model reduction, based on a combination of steady-state and dynamical descriptions of the process. The methods are tested on a range of experiments, including different concentrations of the reagents and different voltage range.
The general method of topological reduction for the network problems is presented on example of gas transport networks. The method is based on a contraction of series, parallel and tree-like subgraphs for the element equations of quadratic, power law and general monotone dependencies. The method allows to reduce significantly the complexity of the graph and to accelerate the solution procedure for stationary network problems. The method has been tested on a large set of realistic network scenarios. Possible extensions of the method have been described, including triangulated element equations, continuation of the equations at infinity, providing uniqueness of solution, a choice of Newtonian stabilizer for nearly degenerated systems. The method is applicable for various sectors in the field of energetics, including gas networks, water networks, electric networks, as well as for coupling of different sectors.
Eintreten und abschalten
(2022)
‚Making Media‘
(2021)
The Chemotype of Chromanones as a Privileged Scaffold for Multineurotarget Anti-Alzheimer Agents
(2022)
Hören und Nachdenken
(2022)
Wie kann der wichtige Austausch von Hochschulen und Unfallversicherungsträgern im Bereich Forschung weiterentwickelt werden? Die Hochschule der DGUV (HGU) und die Hochschule Bonn-Rhein-Sieg (H-BRS) konzipierten ein interaktives Workshop-Format, das diesem strukturierten und kontinuierlichen Austausch von Wissenschaft und Praxis dienen soll.
论“数字化大学”的内涵及发展
(2022)
AI (artificial intelligence) systems are increasingly being used in all aspects of our lives, from mundane routines to sensitive decision-making and even creative tasks. Therefore, an appropriate level of trust is required so that users know when to rely on the system and when to override it. While research has looked extensively at fostering trust in human-AI interactions, the lack of standardized procedures for human-AI trust makes it difficult to interpret results and compare across studies. As a result, the fundamental understanding of trust between humans and AI remains fragmented. This workshop invites researchers to revisit existing approaches and work toward a standardized framework for studying AI trust to answer the open questions: (1) What does trust mean between humans and AI in different contexts? (2) How can we create and convey the calibrated level of trust in interactions with AI? And (3) How can we develop a standardized framework to address new challenges?