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Zugriffsart
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Nahezu jede:r zweite Deutsche ist chronisch krank – Tendenz steigend. Damit gehören chronische Krankheiten laut RKI zu den häufigsten und bedeutsamsten Gesundheitsproblemen weltweit. Für Betroffene bedeutet eine chronische Erkrankung je nach Schweregrad eine Einschränkung im Alltag sowie verringerte Lebensqualität. Die Health App »nomi« greift die Herausforderungen dieser Menschen auf und revolutioniert die Beobachtung ihrer Symptome und Faktoren. Das schnelle, flexible Tracking wird von Wearables ermöglicht. Durch den Vergleich von Faktoren werden Zusammenhänge abgebildet und das eigene Verständnis der Erkrankung gefördert. Darüber hinaus können diese Daten in Form von Berichten für Ärzt:innen freigegeben werden und bieten somit eine authentische Einsicht in den Krankheitsverlauf. Individuelle Routinen und Erinnerungen fördern das Selbstmanagement. Somit steigert „nomi“ langfristig die Lebensqualität Betroffener – als zuverlässiger Begleiter.
Hugo Junkers ist Pionier der frühen nationalen und internationalen Luftfahrt. Seit 2002 sticht das Technikmuseum Hugo Junkers inhaltlich hervor mit einer Fülle einzigartiger Ausstellungsstücke wie restaurierte Flugzeuge und originalgetreue Nachbauten. Geleitet wird das Privatmuseum von ehrenamtlichen Mitgliedern, die teils selbst vom Fach sind und mit ihrer Arbeit im Museum für stetigen Wandel sorgen. Doch leider ist von dieser Qualität im jetzigem Corporate Design noch nichts wiederzuerkennen.
Die Arbeit nimmt sich dieser an und greift das für die Junkers Flugzeuge typische Wellblech auf. So wird ein signifikantes Unterscheidungsmerkmal zu anderen Technikmuseen dieser Art geschaffen. Durch die Kombination eines streng geordneten Liniensystems und einer sehr freien Anordnung der Bilder wird ein spannendes visuelles Auftreten geschaffen. Damit wird das Museum attraktiver für Besucher:Innen gestaltet und somit endlich der hochwertigen Arbeit gerecht, die die Mitglieder des Technikmuseums leisten.
Health Literacy : Konzeption und Entwurf eines digitalen Informationsangebots zum Thema Gesundheit
(2022)
Nicht zuletzt die Corona-Pandemie hat gezeigt: Gesundheit geht alle Menschen etwas an. Vom Begriff „Health Literacy“ haben viele aber noch nie gehört. Damit gemeint ist die menschliche Gesundheitskompetenz, also die Fähigkeit, mit gesundheitsrelevanten Informationen richtig umzugehen und daraus selbstbestimmte Entscheidungen in Gesundheitsfragen ableiten zu können.
In dieser Arbeit wurden dazu wichtige Aspekte aus der Studie HLS-GER 1 interaktiv und erlebbar aufbereitet. Durch das ausgewählte Informationsdesign wird die Thematik zugänglich gemacht und aufgezeigt, welche gravierenden Auswirkungen schlecht ausgebildete Health Literacy auf die Selbstbestimmtheit und Chancengleichheit der Menschen hat. "Health Literacy" legt den Finger in die Wunde und zeigt, dass vor allem im Bildungskontext noch sehr viel Handlungsbedarf ist.
"Heimat" - Ein Begriff, der in den vergangenen Jahren wieder an Brisanz gewonnen hat. Die aktuelle Definition im Duden beschreibt ihn als Geburts- oder Wohnort. Aber hat Heimat wirklich nur eine Definition?
Durch ein begehbares Erlebnis werden die Betrachter:Innen Schritt für Schritt an den Heimatbegriff herangeführt. Neben der aktuellen Defintion werden sie über den Wandel des Heimatbegriffs und seiner Bedeutung in der Geschichte der letzten Jahrhunderte aufgeklärt. Darüber hinaus können sie andere Heimaten entdecken und im Anschluss an einem interaktiven Tisch spielerisch eigene Heimatdefinitionen finden und sie mit denen der Anderen vergleichen. Die Arbeit soll veranschaulichen, wie individuell der Heimatbegriff ist und dass sich eben hinter jeder sogenannten Heimat eine ganz persönliche Geschichte verbirgt.
In der aktuellen Gesellschaft ist ein Konsens davon spürbar, wie „Männlichkeit“ aussehen soll. In der fotografischen Arbeit wird hinterfragt, ob dieses Bild von Maskulinität flexibler gestaltet werden kann und muss. Über verschiede Online-Plattformen wurde nach männlich gelesenen Personen gesucht, die bereit waren, ihre „feminine“ Seite in Bezug auf ihr Aussehen innerhalb eines geschützten Raumes porträtieren zu lassen. Die Arbeit wird in einem Bildband und einem Ausstellungskonzept präsentiert und besteht aus einem 18-monatigem Prozess, 4 bereisten Städten und 30 Shootings. 80 Fotografien zeigen das Experiment, die Freude, aber auch die Überwindungskraft der Porträtierten, die notwendig ist, um Genderklischees zu brechen. Die Individualität der Menschen wird in den bühnenartigen Darstellungen hervorgehoben und gibt einen Denkanstoß zur Neugestaltung und Öffnung des Begriffes „Maskulinität“.
Orthodontic treatments are concomitant with mechanical forces and thereby cause teeth movements. The applied forces are transmitted to the tooth root and the periodontal ligaments which is compressed on one side and tensed up on the other side. Indeed, strong forces can lead to tooth root resorption and the crown-to-tooth ratio is reduced with the potential for significant clinical impact. The cementum, which covers the tooth root, is a thin mineralized tissue of the periodontium that connects the periodontal ligament with the tooth and is build up by cementoblasts. The impact of tension and compression on these cells is investigated in several in vivo and in vitro studies demonstrating differences in protein expression and signaling pathways. In summary, osteogenic marker changes indicate that cyclic tensile forces support whereas static tension inhibits cementogenesis. Furthermore, cementogenesis experiences the same protein expression changes in static conditions as static tension, but cyclic compression leads to the exact opposite of cyclic tension. Consistent with marker expression changes, the singaling pathways of Wnt/ß-catenin and RANKL/OPG show that tissue compression leads to cementum degradation and tension forces to cementogenesis. However, the cementum, and in particular its cementoblasts, remain a research area which should be explored in more detail to understand the underlying mechanism of bone resorption and remodeling after orthodontic treatments.
Introduction
In regard of surgical training, the reproducible simulation of life-like proximal humerus fractures in human cadaveric specimens is desirable. The aim of the present study was to develop a technique that allows simulation of realistic proximal humerus fractures and to analyse the influence of rotator cuff preload on the generated lesions in regards of fracture configuration.
Materials and methods
Ten cadaveric specimens (6 left, 4 right) were fractured using a custom-made drop-test bench, in two groups. Five specimens were fractured without rotator cuff preload, while the other five were fractured with the tendons of the rotator cuff preloaded with 2 kg each. The humeral shaft and the shortened scapula were potted. The humerus was positioned at 90° of abduction and 10° of internal rotation to simulate a fall on the elevated arm. In two specimens of each group, the emergence of the fractures was documented with high-speed video imaging. Pre-fracture radiographs were taken to evaluate the deltoid-tuberosity index as a measure of bone density. Post-fracture X-rays and CT scans were performed to define the exact fracture configurations. Neer’s classification was used to analyse the fractures.
Results
In all ten cadaveric specimens life-like proximal humerus fractures were achieved. Two III-part and three IV-part fractures resulted in each group. The preloading of the rotator cuff muscles had no further influence on the fracture configuration. High-speed videos of the fracture simulation revealed identical fracture mechanisms for both groups. We observed a two-step fracture mechanism, with initial impaction of the head segment against the glenoid followed by fracturing of the head and the tuberosities and then with further impaction of the shaft against the acromion, which lead to separation of the tuberosities.
Conclusion
A high energetic axial impulse can reliably induce realistic proximal humerus fractures in cadaveric specimens. The preload of the rotator cuff muscles had no influence on initial fracture configuration. Therefore, fracture simulation in the proximal humerus is less elaborate. Using the presented technique, pre-fractured specimens are available for real-life surgical education.
Introduction: In peripheral percutaneous (VA) extracorporeal membrane oxygenation (ECMO) procedures the femoral arteries perfusion route has inherent disadvantages regarding poor upper body perfusion due to watershed. With the advent of new long flexible cannulas an advancement of the tip up to the ascending aorta has become feasible. To investigate the impact of such long endoluminal cannulas on upper body perfusion, a Computational Fluid Dynamics (CFD) study was performed considering different support levels and three cannula positions.
Methods: An idealized literature-based- and a real patient proximal aortic geometry including an endoluminal cannula were constructed. The blood flow was considered continuous. Oxygen saturation was set to 80% for the blood coming from the heart and to 100% for the blood leaving the cannula. 50% and 90% venoarterial support levels from the total blood flow rate of 6 l/min were investigated for three different positions of the cannula in the aortic arch.
Results: For both geometries, the placement of the cannula in the ascending aorta led to a superior oxygenation of all aortic blood vessels except for the left coronary artery. Cannula placements at the aortic arch and descending aorta could support supra-aortic arteries, but not the coronary arteries. All positions were able to support all branches with saturated blood at 90% flow volume.
Conclusions: In accordance with clinical observations CFD analysis reveals, that retrograde advancement of a long endoluminal cannula can considerably improve the oxygenation of the upper body and lead to oxygen saturation distributions similar to those of a central cannulation.
Additive Manufacturing (AM) of metallic workpieces faces a continuously rising technological relevance and market size. Producing complex or highly strained unique workpieces is a significant field of application, making AM highly relevant for tool components. Its successful economic application requires systematic workpiece based decisions and optimizations. Considering geometric and technological requirements as well as the necessary post-processing makes deciding effortful and requires in-depth knowledge. As design is usually adjusted to established manufacturing, associated technological and strategic potentials are often neglected. To embed AM in a future proof industrial environment, software-based self-learning tools are necessary. Integrated into production planning, they enable companies to unlock the potentials of AM efficiently. This paper presents an appropriate methodology for the analysis of process-specific AM-eligibility and optimization potential, added up by concrete optimization proposals. For an integrated workpiece characterization, proven methods are enlarged by tooling-specific figures.
The first stage of the approach specifies the model’s initialization. A learning set of tooling components is described using the developed key figure system. Based on this, a set of applicable rules for workpiece-specific result determination is generated through clustering and expert evaluation. Within the following application stage, strategic orientation is quantified and workpieces of interest are described using the developed key figures. Subsequently, the retrieved information is used for automatically generating specific recommendations relying on the generated ruleset of stage one. Finally, actual experiences regarding the recommendations are gathered within stage three. Statistic learning transfers those to the generated ruleset leading to a continuously deepening knowledge base. This process enables a steady improvement in output quality.
Gamification applications are on the rise in the manufacturing sector to customize working scenarios, offer user-specific feedback, and provide personalized learning offerings. Commonly, different sensors are integrated into work environments to track workers’ actions. Game elements are selected according to the work task and users’ preferences. However, implementing gamified workplaces remains challenging as different data sources must be established, evaluated, and connected. Developers often require information from several areas of the companies to offer meaningful gamification strategies for their employees. Moreover, work environments and the associated support systems are usually not flexible enough to adapt to personal needs. Digital twins are one primary possibility to create a uniform data approach that can provide semantic information to gamification applications. Frequently, several digital twins have to interact with each other to provide information about the workplace, the manufacturing process, and the knowledge of the employees. This research aims to create an overview of existing digital twin approaches for digital support systems and presents a concept to use digital twins for gamified support and training systems. The concept is based upon the Reference Architecture Industry 4.0 (RAMI 4.0) and includes information about the whole life cycle of the assets. It is applied to an existing gamified training system and evaluated in the Industry 4.0 model factory by an example of a handle mounting.