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In this talk we presented a novel technique, based on Deep Learning, to determine the impact parameter of nuclear collisions at the CBM experiment. PointNet based Deep Learning models are trained on UrQMD followed by CBMRoot simulations of Au+Au collisions at 10 AGeV to reconstruct the impact parameter of collisions from raw experimental data such as hits of the particles in the detector planes, tracks reconstructed from the hits or their combinations. The PointNet models can perform fast, accurate, event-by-event impact parameter determination in heavy ion collision experiments. They are shown to outperform a simple model which maps the track multiplicity to the impact parameter. While conventional methods for centrality classification merely provide an expected impact parameter distribution for a given centrality class, the PointNet models predict the impact parameter from 2–14 fm on an event-by-event basis with a mean error of −0.33 to 0.22 fm.
Objective: Due to the prohibition of face-to-face courses during the Corona pandemic, the seminar "Written Examinations" of the Frankfurter Arbeitsstelle für Medizindidaktik (FAM) was converted into an asynchronous online seminar. This pilot project investigated how such a format is accepted and evaluated by the participants. Methodology: A forum-based online format with group and individual tasks was chosen, which was didactically designed according to the problem-oriented design by Reinmann and Mandl. Results: The seminar was attended by 14 people, 13 of whom took part in the evaluation. The overall evaluation was, with one exception, a grade of 2 (and better). The three items "practical relevance", "subjective learning success" and the question of recommendation also received very high approval ratings. The weekly workload reported by the participants was very heterogeneous (mean=2.4 hours; SD=1.1). For some participants, the use of the learning platform was not intuitive and group collaboration was somewhat faltering.Conclusion: The experiences made show that courses on medical didactics can be implemented online and are gladly accepted by the participants. Based on the experience gained, online seminars or blended learning formats will certainly continue to be part of the FAM course program in the future.
Scanning Hall probe microscopy is attractive for minimally invasive characterization of magnetic thin films and nanostructures by measurement of the emanating magnetic stray field. Established sensor probes operating at room temperature employ highly miniaturized spin-valve elements or semimetals, such as Bi. As the sensor layer structures are fabricated by patterning of planar thin films, their adaption to custom-made sensor probe geometries is highly challenging or impossible. Here we show how nanogranular ferromagnetic Hall devices fabricated by the direct-write method of focused electron beam induced deposition (FEBID) can be tailor-made for any given probe geometry. Furthermore, we demonstrate how the magnetic stray field sensitivity can be optimized in situ directly after direct-write nanofabrication of the sensor element. First proof-of-principle results on the use of this novel scanning Hall sensor are shown.
Endothelial cells play a critical role in the adaptation of tissues to injury. Tissue ischemia induced by infarction leads to profound changes in endothelial cell functions and can induce transition to a mesenchymal state. Here we explore the kinetics and individual cellular responses of endothelial cells after myocardial infarction by using single cell RNA sequencing. This study demonstrates a time dependent switch in endothelial cell proliferation and inflammation associated with transient changes in metabolic gene signatures. Trajectory analysis reveals that the majority of endothelial cells 3 to 7 days after myocardial infarction acquire a transient state, characterized by mesenchymal gene expression, which returns to baseline 14 days after injury. Lineage tracing, using the Cdh5-CreERT2;mT/mG mice followed by single cell RNA sequencing, confirms the transient mesenchymal transition and reveals additional hypoxic and inflammatory signatures of endothelial cells during early and late states after injury. These data suggest that endothelial cells undergo a transient mes-enchymal activation concomitant with a metabolic adaptation within the first days after myocardial infarction but do not acquire a long-term mesenchymal fate. This mesenchymal activation may facilitate endothelial cell migration and clonal expansion to regenerate the vascular network.
During dynamic ultrasound assessments, unintended transducer movement over the skin needs to be prevented as it may bias the results. The present study investigated the validity of two methods quantifying transducer motion. An ultrasound transducer was moved on a pre-specified 3 cm distance over the semitendinosus muscle of eleven adults (35.8 ± 9.8 years), stopping briefly at intervals of 0.5 cm. Transducer motion was quantified (1) measuring the 2-D displacement of the shadow produced by reflective tape (RT) attached to the skin and (2) using a marker-based, three-dimensional movement analysis system (MAS). Differences between methods were detected with Wilcoxon tests; associations were checked by means of intraclass correlation coefficients (ICC 3.1) and Bland–Altman plots. Values for RT (r = 0.57, p < 0.001) and MAS (r = 0.19, p = 0.002) were significantly higher than true distances (TD). Strong correlations were found between RT and TD (ICC: 0.98, p < 0.001), MAS and TD (ICC: 0.95, p < 0.001), and MAS and RT (ICC: 0.97, p < 0.001). Bland–Altman plots showed narrow limits of agreement for both RT (−0.49 to 0.13 cm) and MAS (−0.49 to 0.34 cm) versus TD. RT and MAS are valid methods to quantify US transducer movement. In view of its low costs and complexity, RT can particularly be recommended for application in research and clinical practice. View Full-Text
Keywords: ultrasound; reflective tape; transducer movement
The ability to learn sequential contingencies of actions for predicting future outcomes is indispensable for flexible behavior in many daily decision-making contexts. It remains open whether such ability may be enhanced by transcranial direct current stimulation (tDCS). The present study combined tDCS with functional near-infrared spectroscopy (fNIRS) to investigate potential tDCS-induced effects on sequential decision-making and the neural mechanisms underlying such modulations. Offline tDCS and sham stimulation were applied over the left and right dorsolateral prefrontal cortex (dlPFC) in young male adults (N = 29, mean age = 23.4 years, SD = 3.2) in a double-blind between-subject design using a three-state Markov decision task. The results showed (i) an enhanced dlPFC hemodynamic response during the acquisition of sequential state transitions that is consistent with the findings from a previous functional magnetic resonance imaging (fMRI) study; (ii) a tDCS-induced increase of the hemodynamic response in the dlPFC, but without accompanying performance-enhancing effects at the behavioral level; and (iii) a greater tDCS-induced upregulation of hemodynamic responses in the delayed reward condition that seems to be associated with faster decision speed. Taken together, these findings provide empirical evidence for fNIRS as a suitable method for investigating hemodynamic correlates of sequential decision-making as well as functional brain correlates underlying tDCS-induced modulation. Future research with larger sample sizes for carrying out subgroup analysis is necessary in order to decipher interindividual differences in tDCS-induced effects on sequential decision-making process at the behavioral and brain levels.
Aufbau: Acoustic Radiation Force Impulse (ARFI)- Bildgebung ist eine auf der konventionellen Ultraschall- Bildgebung basierende Elastographie- Methode, die die quantitative Messung der Festigkeit und Elastizität von Gewebe ermöglicht. Das Ziel der vorliegenden Studie war es, ARFI- Bildgebung für die Differenzierung von Schilddrüsenknoten zu evaluieren und mit der bereits gut erprobten qualitativen Messmethode der Real-Time Elastographie (RTE) zu vergleichen.
Material und Methoden: ARFI- Bildgebung basiert auf der Aussendung von akustischen Impulsen in Gewebe, wodurch lokale Gewebeverschiebungen hervorgerufen werden. Die dabei entstehenden Transversalwellen wiederum werden über auf Korrelation basierende Methoden mittels Ultraschallwellen detektiert und in m/s angegeben. Einschlusskriterien der Studie waren: Knoten ≥ 5 mm sowie eine zytologische/histologische Aufarbeitung. Alle Patienten erhielten eine konventionelle Ultraschall- Untersuchung, eine Real-Time Elastographie sowie eine ARFI- Bildgebung.
Ergebnisse: Es standen 158 Knoten aus 138 Patienten zur Analyse zur Verfügung. 137 Knoten erbrachten bei der zytologischen/histologischen Aufarbeitung ein benignes Ergebnis, 21 Knoten hingegen wurden als maligne eingestuft. Die mittlere Geschwindigkeit der Messungen der ARFI- Bildgebung in gesundem Schilddrüsengewebe betrug 1,76 m/s, in benignen Knoten 1,90 m/s und in malignen Knoten 2,69 m/s. Es konnte kein signifikanter Unterschied der mittleren Geschwindigkeit zwischen gesundem Schilddrüsengewebe und benignen Knoten ermitteltet werden, wohingegen ein signifikanter Unterschied zwischen malignen Knoten und gesundem Schilddrüsengewebe (p= 0,0019) einerseits und benignen Schilddrüsenknoten (p=0,0039) andererseits bestand. Für die diagnostische Genauigkeit bei der Diagnose von malignen Schilddrüsenknoten konnte kein signifikanter Unterschied zwischen RTE und ARFI- Bildgebung festgestellt werden (0,74 vs. 0,69, p=0,54). Die Kombination von RTE und ARFI- Bildgebung erhöhte die Spezifität bei der Diagnose von malignen Schilddrüsenknoten von 72% (nur RTE) auf 92% (kombiniert).
Schlussfolgerungen: ARFI- Bildgebung kann als zusätzliche Methode bei der diagnostischen Aufarbeitung von Schilddrüsenknoten genutzt werden und liefert dabei einen hohen negativen prädiktiven Wert sowie vergleichbare Ergebnisse wie die RTE.
Despite the increasing use of cashless payment instruments, the notion that cash loses importance over time can be unambiguously refuted. In contrast, the authors show that cash demand increased steeply over the past 30 years. This is not only true on a global scale, but also for the most important currencies in advanced countries (USD, EUR, CHF, GBP and JPY). In this paper, they focus especially on the role of different crises (technological crises, financial market crises, natural disasters) and analyse the demand for small and large banknote denominations since the 1990s in an international perspective. It is evident that cash demand always increases in times of crises, independent of the nature of the crisis itself. However, largely unaffected from crises we observe a trend increase in global cash aligned with a shift from transaction balances towards more hoarding, especially in the form of large denomination banknotes.