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Die Digitale Transformation, u.a. getrieben durch die weithin sichtbare Vision der Industrie 4.0, gilt als eine der großen Herausforderungen unserer Zeit. Insbesondere für den Wirtschaftsstandort Deutschland ergibt sich die Frage, wie KMU auf diese Transformation nicht nur vorbereitet, sondern auch bei deren Bewältigung durch Wissenstransfer aus Hochschulen heraus unter-stützt werden können. Die Vorteile, die dabei ein digitaler Wissenstransfer - Stichwort z.B. „e-Learning“ - bieten können, passen augenscheinlich gut zu den Charakteristika und Bedürfnissen von KMU. Es entstehen jedoch auch spezifische Herausforderungen. Diese liegen sowohl darin, in einer dynamischen Umgebung Themen zu identifizieren, die für die Unternehmen wichtig und interessant sind als auch in vielfältigen Akzeptanzproblematiken auf der Inhaltsebene und auch bezogen auf die Methoden des Wissenstransfers. Die hier vorgestellten Erkenntnisse, basierend auf einer Umfrage und Expertengesprächen im Rahmen des - durch den ESF und den Freistaat Bayern geförderten - mainproject2018. Sie zeigen, dass Wissenstransfer zum digitalen Wandel wohl auch aber nicht alleine durch digitale Methoden gestaltet werden kann. Denn bevor dieser von den eigentlichen Adressaten akzeptiert und genutzt wird, müssen fundamentale Vorbehalte und Widerstände abgebaut werden. Es werden daher neben den Ergebnissen der empirischen Untersuchung auch erste Überlegungen zu akzeptanzfördernden Maßnahmen im o.g. Kontext vorgestellt und diskutiert.
This contribution discusses the integration of polymer planar Bragg grating sensors (PPBG) into carbon fiber reinforced polymer (CFRP) components. For the first time, it is shown that PPBGs based on cyclic olefin copolymers can be integrated into commercial-grade composites, thereby withstanding the demanding production processes. Pre-impregnated fibers are stacked and partially modified to form a sensor pocket. Afterwards, the CFRP specimen containing the optical sensor is cured in a heated mechanical press for 2 hours at a pressure of 7 bar and a temperature of 120 °C. A subsequent evalutaion of the sensor signal shows a Bragg wavelength shift of 1236 pm and a decline in signal amplitude of -2 dB. Three-point flexural tests of the cured sample reveal a linear behavior of the sensor signal towards external loads. The determined sensitivity in dependence of the CFRP specimen's maximum central deflection is -112 pm/mm, while correlation to the applied force results in a sensitivity of -5 pm/N.
Introduction
There is evidence that SARS-CoV2 has a particular affinity for kidney tissue and is often
associated with kidney failure.
Methods
We assessed whether proteinuria can be predictive of kidney failure, the development of
chronic kidney disease, and mortality in 37 critically ill COVID-19 patients. We used machine
learning (ML) methods as decision trees and cut-off points created by the OneR package to
add new aspects, even in smaller cohorts.
Results
Among a total of 37 patients, 24 suffered higher-grade renal failure, 20 of whom required kidney
replacement therapy. More than 40% of patients remained on hemodialysis after intensive
care unit discharge or died (27%). Due to frequent anuria proteinuria measured in two-thirds of
the patients, it was not predictive for the investigated endpoints; albuminuria was higher in
patients with AKI 3, but the difference was not significant. ML found cut-off points of >31.4 kg/
m2 for BMI and >69 years for age, constructed decision trees with great accuracy, and identified
highly predictive variables for outcome and remaining chronic kidney disease.
Conclusions
Different ML methods and their clinical application, especially decision trees, can provide
valuable support for clinical decisions. Presence of proteinuria was not predictive of CKD or
AKI and should be confirmed in a larger cohort.
Continuous glucose monitoring (CGM) improves treatment with lower blood glucose levels
and less patient effort. In combination with continuous insulin application, glycemic control
improves and hypoglycemic episodes should decrease. Direct feedback of CGM to continuous
subcutaneous insulin application, using an algorithm is called a closed-loop (CL)
artificial pancreas system. Commercial devices stop insulin application by predicting hypoglycemic
blood glucose levels through direct interaction between the sensor and pump. The
prediction is usually made for about 30 minutes and insulin delivery is restarted at the previous
level if a rise in blood glucose is predicted within the next 30 minutes (hybrid closed loop
system, HCL this is known as a predictive low glucose suspend system (PLGS)). In a fully
CL system, sensor and pump communicate permanently with each other. Hybrid closedloop
(HCL) systems, which require the user to estimate the meal size and provide a meal
insulin basis, are commercially available in Germany at the moment. These systems result
in fewer hyperglycemic and hypoglycemic episodes with improved glucose control. Open
source initiatives have provided support by building do-it-yourself CL (DIYCL) devices for
automated insulin application since 2014, and are used by a tech-savvy subgroup of
patients. The first commercial hybrid CL system has been available in Germany since September
2019. We surveyed 1054 patients to determine which devices are currently used,
which features would be in demand by potential users, and the benefits of DIYCL systems.
9.7% of these used a DIYCL system, while 50% would most likely trust these systems but
more than 85% of the patients would use a commercial closed loop system, if available. The
DIYCL users had a better glucose control regarding their time in range (TIR) and glycated
hemoglobin (HbA1c).
Im Sommer des Jahres 2022 hatte der Bayerische Landtag das neue Hochschulinnovationsgesetz (BayHIG) verabschiedet. Darin ist erstmals der Wissenstransfer als die dritte, neue Säule der Hochschulaufgaben enthalten.
Tatsächlich hat sich das IMI bereits seit 15 Jahren dem Wissenstransfer Hochschule - Wirtschaft verschrieben und zahlreiche Projekte mit unterschiedlichem Fokus erfolgreich durchgeführt. In der vorliegenden Publikation werden die bearbeiteten Themen im Wissenstransfer, die zahlreichen verschiedenen Veranstaltungsformate sowie die Drittmittelprojekte beleuchtet.
Electric vehicle (EV) development in China emerged with the 863 program (1986) for high technologies and has received support since the 10th Five Year Plan. While standards were of no particular importance in the early years of EV development, standards have increasingly become subject to policies and programs. For instance, the promotion of ‘indigenous' or ‘home-grown' innovation is perceived as means to develop domestic standards and contribute to international standards. Alongside this target, the Chinese government mandated the development of an EV standardization roadmap to serve as a guideline for optimizing standardization work, promoting technical innovation and large-scale industrialization. It was even considered that EV standardization was a novel standard field that has the potential to secure China a forerunner position in technological development as well as international standardization, regardless of standard-setting practices in the conventional automotive sector. Against this background, this paper examines the differences in system set-up and processes of standardization for the traditional automotive and the electric vehicles sector. While conventional automotive standardization is limited to a single sector with the Ministry of Industry of Information Technology and the China Automotive Technology and Research Centre in charge, electric vehicles require the participation of stakeholders from other sectors. Therefore, the negative influence from the conventional decentralized automotive sector on the development of common nationwide standards like the dynamics between national, regional and local actors cannot be deprived. Additionally, this paper also highlights learnings from EV standardization that might set positive impulses for conventional EV standardizations.
This book analyses why Chinese technology standards deviate from international standards. The research it contains is based on four periods of field research in Beijing that involved 70 expert interviews. The data gathered throughout these interviews resulted in a detailed case study on the Chinese standardisation system and particularly the electric vehicle sector. The book’s application of complexity theory shows that the evolvement of deviating standards is a substantial component in the development of the Chinese standardisation system. This is further explained by its use of a ‘Three Phase Standardisation Development Concept’. This book fills a gap in existing research, especially because it focuses on a developing country with a standardisation system that is in transition.
China is taking on a new role in international trade. One of the most prominent events highlighting this new role has been the speech of Xi Jinping, the president of the Peoples Republic in China (PRC), at the World Economic Forum (WEF) in 2017. His speech has become famous as pro-globalization speech. It contrasted with the anti-globalization tendency proclaimed throughout the US president’s election campaign, who had assumed office shortly after the speech at the 2017 WEF.