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Der Mensch in seinen Welten – das Konzept des Rautenstrauch Joest Museums verfolgt den Ansatz des Kulturvergleichs und strebt im Zuge dessen die Betonung der Ebenbürtigkeit aller Kulturen an. Die Sammlung unterteilt sich nicht – wie gewohnt – anhand geografischer Gesichtspunkte, sondern behandelt Themen, die Menschen auf der ganzen Welt beschäftigen. Das in dieser Arbeit gestaltete neue Erscheinungsbild greift den veränderten gesellschaftlichen Stellenwert von ethnologischen Museen auf und positioniert das Museum als aktiven Diskussionsteilnehmer im Zuge des Postkolonialismus. Das entwickelte Key-Visual aus eigener Schrift, einheitlicher Rastersystematik und prägnantem Farbkonzept gibt einen Einblick darin, wie Menschen früher probiert haben, ihre Welt zu verstehen und sie zu erschließen.
Scriptum ist ein Interface mit Installationscharakter, welches die geschichtliche Entstehung von Schriftsystemen aus einer geochronologischen Perspektive darstellt. Die Installation wurde hauptsächlich für Museumsausstellungen konzipiert und besteht aus einer Wandprojektion, die durch iPads im Raum von mehreren Nutzern gleichzeitig gesteuert werden kann. Auf der Projektion sind alle 145 von Noto Sans unterstützten Schriftsysteme zu finden, die nach ihrer örtlichen Entstehung auf einer Weltkarte platziert wurden. Die Arbeit beruht auf dem wissenschaftlichen Datensatz aus dem Projekt „The World’s Writing Systems“ aufrufbar unter www.worldswritingsystems.org.
Neben dem Informierungszweck dient die Installation auch als ein Ausrufezeichen für die Idee, dass Schrift ein wichtiger Aspekt unseres Kulturerbes ist und als ein Spiegel für die Evolution der Menschheit betrachtet werden kann.
Herzinsuffizienz ist eine der häufigsten Herzerkrankungen in Deutschland. Sie ist fortschreitend und nicht heilbar. Der Krankheitsverlauf ist geprägt von plötzlichen, z.T. lebensbedrohlichen Verschlechterungen und Krankenhauseinweisungen, nach denen die Leistung des Herzen vermindert bleibt. Diese Dekompensationen lassen sich bisher im heimischen Umfeld nicht durch Messwerte vorhersehen.
Dieses Gerät bestimmt die Flüssigkeitsansammlungen in der Lunge, die ein mittelfristiges Symptom einer Dekompensation sind. Außerdem misst es über einen Hautsensor die im Schweiß enthaltene Menge eines Proteins, das bei Überdehnung des Herzmuskels vermehrt im Blutplasma zu finden ist.
So können Dekompensationen bis zu zwei Wochen vor einem akuten Ereignis detektiert und behandelt werden. Außerdem gibt es tagesformabhängige Tipps für die Alltagsgestaltung mit der Erkrankung.
Heparin is a natural polysaccharide, which plays essential role in many biological processes. Alterations in building blocks can modify biological roles of commercial heparin products, due to significant changes in the conformation of the polymer chain. The variability structure of heparin leads to difficulty in quality control using different analytical methods, including infrared (IR) spectroscopy. In this paper molecular modelling of heparin disaccharide subunits was performed using quantum chemistry. The structural and spectral parameters of these disaccharides have been calculated using RHF/6-311G. In addition, over-sulphated chondroitin sulphate disaccharide was studied as one of the most widespread contaminants of heparin. Calculated IR spectra were analyzed with respect to specific structure parameters. IR spectroscopic fingerprint was found to be sensitive to substitution pattern of disaccharide subunits. Vibrational assignments of calculated spectra were correlated with experimental IR spectral bands of native heparin. Chemometrics was used to perform multivariate analysis of simulated spectral data.
Lignin is a promising renewable biopolymer being investigated worldwide as an environmentally benign substitute of fossil-based aromatic compounds, e.g. for the use as an excipient with antioxidant and antimicrobial properties in drug delivery or even as active compound. For its successful implementation into process streams, a quick, easy, and reliable method is needed for its molecular weight determination. Here we present a method using 1H spectra of benchtop as well as conventional NMR systems in combination with multivariate data analysis, to determine lignin’s molecular weight (Mw and Mn) and polydispersity index (PDI). A set of 36 organosolv lignin samples (from Miscanthus x giganteus, Paulownia tomentosa and Silphium perfoliatum) was used for the calibration and cross validation, and 17 samples were used as external validation set. Validation errors between 5.6% and 12.9% were achieved for all parameters on all NMR devices (43, 60, 500 and 600 MHz). Surprisingly, no significant difference in the performance of the benchtop and high-field devices was found. This facilitates the application of this method for determining lignin’s molecular weight in an industrial environment because of the low maintenance expenditure, small footprint, ruggedness, and low cost of permanent magnet benchtop NMR systems.
NMR standardization approach that uses the 2H integral of deuterated solvent for quantitative multinuclear analysis of pharmaceuticals is described. As a proof of principle, the existing NMR procedure for the analysis of heparin products according to US Pharmacopeia monograph is extended to the determination of Na+ and Cl- content in this matrix. Quantification is performed based on the ratio of a 23Na (35Cl) NMR integral and 2H NMR signal of deuterated solvent, D2O, acquired using the specific spectrometer hardware. As an alternative, the possibility of 133Cs standardization using the addition of Cs2CO3 stock solution is shown. Validation characteristics (linearity, repeatability, sensitivity) are evaluated. A holistic NMR profiling of heparin products can now also be used for the quantitative determination of inorganic compounds in a single analytical run using a single sample. In general, the new standardization methodology provides an appealing alternative for the NMR screening of inorganic and organic components in pharmaceutical products.
Although several successful applications of benchtop nuclear magnetic resonance (NMR) spectroscopy in quantitative mixture analysis exist, the possibility of calibration transfer remains mostly unexplored, especially between high- and low-field NMR. This study investigates for the first time the calibration transfer of partial least squares regressions [weight average molecular weight (Mw) of lignin] between high-field (600 MHz) NMR and benchtop NMR devices (43 and 60 MHz). For the transfer, piecewise direct standardization, calibration transfer based on canonical correlation analysis, and transfer via the extreme learning machine auto-encoder method are employed. Despite the immense resolution difference between high-field and low-field NMR instruments, the results demonstrate that the calibration transfer from high- to low-field is feasible in the case of a physical property, namely, the molecular weight, achieving validation errors close to the original calibration (down to only 1.2 times higher root mean square errors). These results introduce new perspectives for applications of benchtop NMR, in which existing calibrations from expensive high-field instruments can be transferred to cheaper benchtop instruments to economize.
Digital twins enable the modeling and simulation of real-world entities (objects, processes or systems), resulting in improvements in the associated value chains. The emerging field of quantum computing holds tremendous promise forevolving this virtualization towards Quantum (Digital) Twins (QDT) and ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a contradiction in terms - but instead describes a hybrid approach that can be implemented using the technologies available today by combining classicalcomputing and digital twin concepts with quantum processing. This paperpresents the status quo of research and practice on quantum (digital) twins. It alsodiscuses their potential to create competitive advantage through real-timesimulation of highly complex, interconnected entities that helps companies better
address changes in their environment and differentiate their products andservices.
Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large language models for the German language (such as GBERT and GPT-2-Wechsel) have become available, allowing to develop Deep Learning based approaches that promise to further improve automatic readability assessment. In this contribution, we studied the ability of ensembles of fine-tuned GBERT and GPT-2-Wechsel models to reliably predict the readability of German sentences. We combined these models with linguistic features and investigated the dependence of prediction performance on ensemble size and composition. Mixed ensembles of GBERT and GPT-2-Wechsel performed better than ensembles of the same size consisting of only GBERT or GPT-2-Wechsel models. Our models were evaluated in the GermEval 2022 Shared Task on Text Complexity Assessment on data of German sentences. On out-of-sample data, our best ensemble achieved a root mean squared error of 0:435.