Entwicklung und Umsetzung der graphischen Nutzerschnittstelle für das Projekt SALT

Das Programm SALT wurde im Auftrag des Instituts für Verkehrsführung und Fahrzeugsteuerung entwickelt. Es wird verwendet um den Informationsfluss innerhalb eines geschlossenen Systems, zum Beispiel eines Fahrzeugs, zu betrachten und das Sicherheitsniveau der einzelnen Komponenten zu bestimmen. Ziel dieser Arbeit ist das Programm entsprechend zu erweitern, so dass eine Visualisierung der Analyseergebnisse möglich ist. Außerdem sollen in dieser generierten Darstellung die kritischen Pfade erkennbar sein. Ein zusätzliches Ziel ist die Darstellung des Projektaufbaus mit den dazugehörigen Zusammenhängen, bereits während der Erstellung eines Projektes. Da es sich um die Darstellung eines Informationsflusses handelt, wurde festgelegt, dass die Visualisierung in Form eines gerichteten Graphen erfolgen sollte. Nach der Analyse des Problems und der Aufstellung der Anforderung müssen die Klassen zur Generierung des Graphen erzeugt werden. Außerdem wird eine Methodik entwickelt, die nicht nur das Darstellen, sondern auch das Extrahieren von Informationen aus dem Graphen ermöglicht

Motor skills and exercise capacity are associated with objective measures of cognitive functions and academic performance in preadolescent children

To investigate associations between motor skills, exercise capacity and cognitive functions, and evaluate how they correlate to academic performance in mathematics and reading comprehension using standardised, objective tests.This cross-sectional study included 423 Danish children (age: 9.29±0.35 years, 209 girls). Fine and gross motor skills were evaluated in a visuomotor accuracy-tracking task, and a whole-body coordination task, respectively. Exercise capacity was estimated from the Yo-Yo intermittent recovery level 1 children's test (YYIR1C). Selected tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB) were used to assess different domains of cognitive functions, including sustained attention, spatial working memory, episodic and semantic memory, and processing speed. Linear mixed-effects models were used to investigate associations between these measures and the relationship with standard tests of academic performance in mathematics and reading comprehension.Both fine and gross motor skills were associated with better performance in all five tested cognitive domains (all P<0.001), whereas exercise capacity was only associated with better sustained attention (P<0.046) and spatial working memory (P<0.038). Fine and gross motor skills (all P<0.001), exercise capacity and cognitive functions such as working memory, episodic memory, sustained attention and processing speed were all associated with better performance in mathematics and reading comprehension.The data demonstrate that fine and gross motor skills are positively correlated with several aspects of cognitive functions and with academic performance in both mathematics and reading comprehension. Moreover, exercise capacity was associated with academic performance and performance in some cognitive domains. Future interventions should investigate associations between changes in motor skills, exercise capacity, cognitive functions, and academic performance to elucidate the causality of these associations

Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

We show the distribution of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three genomic nomenclature systems to all sequence data from the World Health Organization European Region available until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation, compare the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2

Genome Sequencing of SARS-CoV-2 Allows Monitoring of Variants of Concern through Wastewater

Monitoring SARS-CoV-2 in wastewater has shown to be an effective tool for epidemiological surveillance. More specifically, RNA levels determined with RT-qPCR have been shown to track with the infection dynamics within the population. However, the surveillance of individual lineages circulating in the population based on genomic sequencing of wastewater samples is challenging, as the genetic material constitutes a mixture of different viral haplotypes. Here, we identify specific signature mutations from individual SARS-CoV-2 lineages in wastewater samples to estimate lineages circulating in Luxembourg. We compare circulating lineages and mutations to those detected in clinical samples amongst infected individuals. We show that especially for dominant lineages, the allele frequencies of signature mutations correspond to the occurrence of particular lineages in the population. In addition, we provide evidence that regional clusters can also be discerned. We focused on the time period between November 2020 and March 2021 in which several variants of concern emerged and specifically traced the lineage B.1.1.7, which became dominant in Luxembourg during that time. During the subsequent time points, we were able to reconstruct short haplotypes, highlighting the co-occurrence of several signature mutations. Our results highlight the potential of genomic surveillance in wastewater samples based on amplicon short-read data. By extension, our work provides the basis for the early detection of novel SARS-CoV-2 variants

Cross-sectional associations between motor skills, exercise capacity and measures of cognitive functions.

<p>Cross-sectional associations between motor skills, exercise capacity and measures of cognitive functions.</p

Characteristics of the study population and their overall test performance.

<p>Characteristics of the study population and their overall test performance.</p

Cross-sectional associations between measures of cognitive functions, motor skills and exercise capacity respectively, and academic performance.

<p>Cross-sectional associations between measures of cognitive functions, motor skills and exercise capacity respectively, and academic performance.</p