MuPix & ATLASpix: Architectures and Results

High Voltage Monolithic Active Pixel Sensors (HV-MAPS) are based ona commercial High Voltage CMOS process and collect charge by driftinside a reversely biased diode. HV-MAPS represent a promising technology for future pixel tracking detectors. Two recent developments are presented. The MuPix has a continuous readout and is being developed for the Mu3e experiment whereas the ATLASPix is being developed for LHC applications with a triggered readout. Both variants have a fully monolithic design including state machines, clock circuitries and serial drivers. Several prototypes and design variants were characterised in the lab and in testbeam campaigns to measure efficiencies, noise, time resolution and radiation tolerance. Results from recent MuPix and ATLASPix prototypes are presented and prospects for future improvements are discussed.High Voltage Monolithic Active Pixel Sensors (HV-MAPS) are based on a commercial High Voltage CMOS process and collect charge by drift inside a reversely biased diode. HV-MAPS represent a promising technology for future pixel tracking detectors. Two recent developments are presented. The MuPix has a continuous readout and is being developed for the Mu3e experiment whereas the ATLASPix is being developed for LHC applications with a triggered readout. Both variants have a fully monolithic design including state machines, clock circuitries and serial drivers. Several prototypes and design variants were characterised in the lab and in testbeam campaigns to measure efficiencies, noise, time resolution and radiation tolerance. Results from recent MuPix and ATLASPix prototypes are presented and prospects for future improvements are discussed

Influence of soft tissue augmentation procedures around dental implants on marginal bone level changes-A systematic review

Objectives This systematic review assessed the influence of soft tissue augmentation procedures on marginal bone level changes in partial or fully edentulous patients. Material and Methods We identified three relevant PICO questions related to soft tissue augmentation procedures and conducted a systematic search of four major electronic databases for clinical studies in systemically healthy patients receiving at least one dental implant and a minimum follow-up of one year after implant placement. The primary outcome was mean difference in marginal bone levels, and secondary outcomes were clinical and patient-related outcomes such as thickness of peri-implant mucosa, bleeding indices, and Pink Esthetic Score. Results We identified 20 publications reporting on 16 relevant comparisons. Studies varied considerably and thus only two meta-analyses could be performed. This systematic review showed that: Soft tissue augmentation either for augmentation of keratinized mucosa or soft tissue volume inconsistently had an effect on marginal bone level changes when compared to no soft tissue augmentation, but consistently improved secondary outcomes. The combination soft and hard tissue augmentation showed no statistically significant difference in terms of marginal bone level changes when compared to hard tissue augmentation alone, but resulted in less marginal soft tissue recession as shown by a meta-analysis. Soft or hard tissue augmentation performed as contour augmentations resulted in comparable marginal bone level changes. Conclusions Peri-implant soft and hard tissues seem to have a bidirectional relationship: “Bone stands hard, but soft tissue is the guard”

Umgang mit einer gesellschaftlich relevanten naturwissenschaftlichen Fragestellung (Socio-Scientific Issue)

Basten M, Steube M, Kröger E-T, Domenech M. Umgang mit einer gesellschaftlich relevanten naturwissenschaftlichen Fragestellung (Socio-Scientific Issue). In: Graulich N, Arnold J, Sorge S, Kubsch M, eds. Lehrkräftebildung von morgen. Waxmann Verlag GmbH; 2024: 171-177.Eine aktuelle Lehrkräftebildung in den Naturwissenschaften muss sich den globalen Herausforderungen stellen, um die angehenden Lehrkräfte der Biologie, Chemie und Physik auch dazu zu befähigen, ihre zukünftigen Schülerinnen und Schüler auf die Probleme von morgen vorzubereiten. Bildung für nachhaltige Entwicklung, 21st century skills und der Umgang mit Unsicherheit und Ambiguität sind die Themen eines entsprechenden naturwissenschaftlichen Unterrichts. Neue Lehr-Lern-Formate, Technologien und Methoden werden dazu bereits an einzelnen Hochschulstandorten entwickelt, um diese Themen im Unterricht adressieren zu können. Dieses Buch gibt einen praxisbezogenen Einblick in zukunftsweisende Themen der Lehrkräftebildung in den Naturwissenschaften. Dazu präsentieren Autorinnen und Autoren aus dem deutschsprachigen Raum neue Seminarkonzepte für die Lehre an Hochschulen sowie digitale Tools und deren innovativen Einsatz. Eingeleitet wird der Band von Essays, die die zukünftigen Herausforderungen in der Lehrkräftebildung darstellen. Onlinematerial zu den Beiträgen steht zur Verfügung, das zur Weiternutzung einlädt und die Weiterentwicklung der Lehrkräftebildung in den Naturwissenschaften insgesamt fördern soll

Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology

Abstract Machine learning is transforming the field of histopathology. Especially in classification related tasks, there have been many successful applications of deep learning already. Yet, in tasks that rely on regression and many niche applications, the domain lacks cohesive procedures that are adapted to the learning processes of neural networks. In this work, we investigate cell damage in whole slide images of the epidermis. A common way for pathologists to annotate a score, characterizing the degree of damage for these samples, is the ratio between healthy and unhealthy nuclei. The annotation procedure of these scores, however, is expensive and prone to be noisy among pathologists. We propose a new measure of damage, that is the total area of damage, relative to the total area of the epidermis. In this work, we present results of regression and segmentation models, predicting both scores on a curated and public dataset. We have acquired the dataset in collaborative efforts with medical professionals. Our study resulted in a comprehensive evaluation of the proposed damage metrics in the epidermis, with recommendations, emphasizing practical relevance for real world applications