Software for calibrating a digital image processing

This work is about learning tool wich provides the necessary parameters for a program controlling robots of type LUKAS at the Faculty of Mechanical Engineering. The robot controlling program needs various parameters depending on its environment, like the light intensity distribution, and camera settings as exposure time and gain raw. These values have to be transmitted from the learning tool to the robot controlling software. Chapter one introduces the robots of type LUKAS which are created for the RoboCup Small Size League. Furthermore, it introduces the camera used for image processing. The second chapter explains the learning process according to Christoph UBfeller and deduces the requirements for this work. In the third chapter theoretical basics concerning image processing, wich are fundamental for this work, are explained. Chapter 4 describes the developed learning tool which is used for the learning process and generates the required parameters for the robot controlling software. In chapter five practical test with two persons are represented. The sixth and last chapter summarizes the results.Tesi

Accurate typing of Human Leukocyte Antigen class I genes by Oxford nanopore sequencing

Oxford Nanopore Technologies’ MinION has expanded the current DNA sequencing toolkit by delivering long read lengths and extreme portability. The MinION has the potential to enable expedited point-of-care human leukocyte antigen (HLA) typing, an assay routinely used to assess the immunological compatibility between organ donors and recipients, but the platform’s high error rate makes it challenging to type alleles with accuracy. Here, we developed and validated accurate typing of HLA by Oxford nanopore (Athlon), a bioinformatic pipeline that i) maps nanopore reads to a database of known HLA alleles, ii) identifies candidate alleles with the highest read coverage at different resolution levels that are represented as branching nodes and leaves of a tree structure, iii) generates consensus sequences by remapping the reads to the candidate alleles, and iv) calls the final diploid genotype by blasting consensus sequences against the reference database. Using two independent datasets generated on the R9.4 flow cell chemistry, Athlon achieved a 100% accuracy in class I HLA typing at the 2-field resolution

Literatur der Archäologie: Materialität und Rhetorik im 18. und 19. Jahrhundert

Seit der Einführung des Konzepts einer »Archäologie des Wissens« ist wiederholt versucht worden, den Begriff der Archäologie für eine allgemeine Kulturtheorie zu funktionalisieren. Umfangreich erschienen in der Folge die Archäologien, als deren Gegenstände nicht einmal mehr die Gegenwart oder die Zukunft undenkbar sind. Daneben musste sich, wie alle Kulturwissenschaften, das institutionelle Fach Archäologie mit dem prägenden Einfluss sprachlicher Bedingungen auf die Gewinnung von Erkenntnissen auseinandersetzen. Dies verweist auf eine zentrale Problematik, die eng an der Kombination von Archäologie und Germanistik in der konzeptionellen Gestaltung des Forschungskollegs Morphomata orientiert ist, nämlich das wechselseitige Verhältnis visuell wahrgenommener und literarisch vermittelter Form sowie ihre Bezüge zu einer ihnen zugrunde liegenden Vorstellung. Der vorliegende Sammelband will über Fallbeispiele aus den Blickwinkeln der Fachdisziplinen der Archäologie und der Literaturwissenschaften Veränderungen und Persistenzen in der Erschließung von Antike deutlich machen. Im Zentrum der Beiträge stehen erstens die Verwendung des Begriffs »Archäologie« außerhalb des aus heutiger Sicht dafür charakteristischen Feldes der Ausgrabung und deutenden Erfassung überlieferter materialer Fundstücke, zweitens die dichterische Darstellung archäologischer Tätigkeit im modernen Sinne der sich ausbildenden Fachdisziplin und drittens Literatur als Medium der Formulierung und Systematisierung generierter Wissensbestände bzw. intersubjektiver Diskursivität der Archäologie

Influence of heating rate on the solid yield of biomass pyrolysis

The use of biochar has become increasingly popular over the last decade. The possible applications are vast and range from renewable carbon carrier in industrial and energetic applications to soil amendment and fodder additive. The various applications have different demands on the properties of biochar. These can be influenced by the choice of feedstock, reactor and production conditions. Regardless of production process and application however, achieving a high yield of the solid product is desirable from an economic point of view. The higher the treatment temperature, the more material is devolatilized and the lower is the amount of biochar that remains after pyrolysis [1]. Nevertheless, some properties such as a very high relative carbon content can only be achieved at high temperatures and therefore at the cost of the char yield. Furthermore, it is generally accepted that a higher heating rate leads to a lower char yield and vice versa. Despite this common believe, there is not a large amount of systematic data available, which shows these correlations. Investigations using rapeseed straw as an example show that the heating rate of up to about 5 K/min initially increases the char yield [2]. As the heating rate continues to rise, the mass yield of biochar decreases. Similar results have already been observed in [3] and [4]. Nevertheless, systematic studies that would allow quantifying the influence of the heating rate on the solid char yield have not been conducted. This study aims to fill this gap. Using systematic experiments with a thermogravimetric analyzer (TGA), the effects of the heating rate on the solid yield of biomass during slow pyrolysis are investigated. Biomass is a very inhomogeneous feedstock and the influence of the various components not clearly distinguishable from each other. Furthermore, reproducibility is poor, especially given the small amounts typically used in thermogravimetric analyses. Therefore, the experiments are carried out using not only wood as a feedstock, but also pure cellulose and lignin. The latter is often associated with a higher achievable char yield. During the investigations, the starting materials are pyrolyzed in an inert atmosphere and at different heating rates, all within the regime of slow pyrolysis. The heat treatment temperature is varied between 450 and 700 °C, corresponding to typical conditions in practical biochar production processes. A sufficient holding time helps to minimize the effect of different carbonization degrees on the measurable char yield. Combining the different feedstocks with the pyrolysis conditions creates a broad data basis. This aids the quantification of the change in solid yield that can be achieved by varying the heating rate. After the experiments in the TGA, the resulting biochar is examined under the microscope for optical differences in pore structure and size in order to gain further insights into the influence of the heating rate. The results will further improve the understanding of biomass pyrolysis and optimize the process parameters for biochar production. [1] Weber, K.; Quicker, P.: Properties of biochar. In: Fuel. 217, 2018, pp 240-261 [2] Zhao, B. et al.: Effect of pyrolysis temperature, heating rate, and residence time on rapeseed stem derived biochar. In: Journal of Cleaner Production. 174, 2018, pp 977-987 [3] Karaosmanoglu, F.; Isigigür-Ergüdenler, A.; Sever, A.: Biochar from the Straw-Stalk of Rapeseed Plant. In: Energy & Fuels. 14, 2000, pp 336-339, [4] Mermoud, F. et al.: Influence of the pyrolysis heating rate on the steam gasification rate of large wood char particles. In: Fuel. 85, 2006, pp 1473-148

Activity of FGF-2 in comparison to the FGF-s3-His Fragment on Human Adipose Derived Stem Cells

Humane Fettstammzellen sind adulte, mesenchymale Stammzellen. Prinzipiell sind in den meisten Geweben Zellen mit Stammzelleigenschaften zu finden, die dort Aufgaben in Bezug auf Geweberegeneration (z.B.: Knochenmark, Darm) erfüllen. Humane Fettstammzellen sind zum einen leicht zugänglich (z.B. plastische Chirurgie, Abfallprodukt bei Liposuktion) und haben zum anderen die Fähigkeit in verschiedene Gewebe zu differenzieren. Somit rückten sie, vor allem im Zusammenhang mit zellbasierten Therapien im Bereich der regenerativen Medizin und Geweberekonstruktion, immer mehr in den Fokus der biomedizinischen Forschung. Für den möglichen, routinemäßigen und klinischen Einsatz von humanen Fettstammzellen ist es wichtig, das Wissen der zugrunde liegenden molekularen Mechanismen und physiologischen Zusammenhänge von Wachstum und Differenzierung zu untersuchen. Humaner Fibroblasten Wachstumsfaktor (hFGF-2) ist ein wichtiger Wachstumsfaktor durch den unter anderem Vorgänge wie Zellwachstum und -differenzierung, Gewebereparatur und regeneration (Knorpel-, Nervengewebe) sowie Angiogenese induziert beziehungsweise gesteuert werden können. In diesem Zusammenhang ist seine Rolle vor allem in der Embryonalentwicklung, aber auch in adulten Geweben tragend. Die FGF-Familie stellt eine Gruppe von Signalproteinen dar, die spezifische Rezeptor-Tyrosin Kinasen an Zelloberflächen binden (FGF-Rezeptoren, FGFR) und durch eine Signaltransduktionskaskade ins Zellinnere FGF Zielgene aktivieren. Humaner FGF-2 beeinflusst somit die Zellphysiologie und kann als in vitro Zellstimulans verwendet werden. Ziel des Projekts war es, die Auswirkungen von rekombinantem hFGF-2 auf die in vitro Proliferation bzw. Differenzierung von adulten Stammzellen (humanen Fettstammzellen) zu untersuchen. Es wurden zwei verschiedene hFGF-2 Konzentrationen, niedrig (3 ng/mL) und hoch (30 ng/mL), eingesetzt und die stimulierten Zellen folglich 28 Tage lang beobachtet. Weiters wurde die Aktivität von den 2 eigens produzierten und aufgereinigten FGF-(Teil)peptiden FGF-2 HIS und FGF-s3 HIS untersucht und mit dem kommerziell erhältlichen, rekombinanten hFGF-2 (rhFGF-2) verglichen. Die Ergebnisse zeigten eine nur schwache biologische Aktivität des FGF-s3 HIS Fragments im Vergleich zu rhFGF-2 und FGF-2 HIS. FGF-s3 HIS bindet mit hoher Affinität an Fibrin/Fibrinogen, und könnte somit in Zukunft als Bindungspartner zwischen Fibrin und anderen Zielsubstanzen (z.B. Medikamente) für therapeutische Zwecke eingesetzt werden. Im Gegensatz dazu, förderten FGF-2 HIS und rhFGF-2 das Zellwachstum und die die Expression von Proteinen der extrazellulären Matrix. Alle drei Punkte sind essentiell für die Gewebekonstruktion (Tissue Engineering) von Knochen, Sehnen und Bändern. Zwei Phasen der Zellantwort waren zu beobachten, ein Anstieg des Zellwachstums und der Proliferationsraten zwischen Tag 14 und 21, beziehungsweise die Erhöhung der Expression von Kollagen Type 1, Kollagen Type 3 und Vimentin ab Tag 21. Histologisch äußerte sich die hFGF-2 Behandlung in einer fibroblastischen, homogen wirkenden Zellmorphologie. Unterschiede zwischen 3 ng/mL und 30 ng/mL hFGF-2 Behandlungen wurden vor allem in der FGF-2 HIS Gruppe deutlich. Obwohl 30 ng/mL hFGF-2 höhere Zellzahlen und biologische Aktivität hervorbrachte, vermuten wir, dass sich eine Dosis von 3 ng/mL hFGF-2 besser auf die osteogene Differenzierung auswirkt. Diese Hypothese muss allerdings noch durch genauere Methoden, wie quantitative Real time PCR, die Bestimmung der alkalischen Phosphatase (ALP) bzw. durch den Nachweis mineralisierter Matrix verifiziert werden. Die Peptide rhFGF-2 und FGF-2 HIS müssen in Hinsicht der eingesetzten Konzentrationen gesondert betrachtet werden und rhFGF-2 sollte in einer noch geringeren Konzentration von 1 ng/mL getestet werden. Jedenfalls wurde die Vermutung bestätigt, dass meschenchymale Stammzellen aus humanem Fettgewebe beziehungsweise aus dem Knochenmark, unterschiedlich sensibel auf verschiedene hFGF-2 Konzentrationen reagieren.Human adipose derived stem (hASCs) cells, are adult stem cells originated from mesenchyme. Somatic stem cells are present in many tissues and organs of the body, rendering important function in tissue regeneration. Due to the ability of hASCs, to give rise to various mature cell types/tissues and the easy isolation procedure, they have been proposed as potential candidates for cell based therapies in the fields of regenerative medicine and tissue engineering. Human fibroblast growth factor 2 (hFGF-2) is an important growth factor, which regulates, among, others cell growth, -differentiation, -proliferation and angiogenesis. Human FGF-2 is essential during early embryonic development but also throughout life in the regeneration of adult tissues. The FGF family constitutes a group of related polypeptides, which are able, upon binding to specific transmembrane receptor tyrosine kinases (FGFR), to activate signal pathways, which are associated with cell growth, migration and proliferation. Human FGF-2 is produced by various cell types in vivo and can be used as culture additive in vitro. The aim of the project was, to examine the in vitro effects of different hFGF-2 doses (3 ng/mL and 30 ng/mL) on human adipose derived stem cells. Apart from commercially available recombinant hFGF-2 (rhFGF-2), additionally the biological activities of two self-produced FGF-2 constructs (FGF-2 HIS, FGF-s3 HIS) were analyzed over 28 days, regarding cell growth, morphology, viability, apoptosis rates, proliferation status and differentiation. The results revealed only weak biological effects on cell proliferation, -growth and -viability, of the truncated FGF-s3 HIS fragment. As FGF-s3 HIS binds with high affinity to fibrin/fibrinogen, the fragment could be used as a linking partner between fibrin and drugs, rendering therapeutic issues. FGF-2 HIS and rhFGF-2 both increased cell growth and the expression of extracellular matrix proteins (e.g. collagen type 1, collagen type 3, vimentin and desmin), which are essential hallmarks in engineering of bone, tendons and ligaments. Cells reacted to hFGF-2 treatment in a characteristic, biphasic respond, with an initial phase of enhanced cell growth. The second phase was marked by an increase of collagen type 1, collagen type 3 and vimentin mRNA expression. Morphologically, cells displayed a fibroblast like, homogenous looking cell morphology. Differences between low (3 ng/mL) and high (30 ng/mL) dose hFGF-2 treatment were most distinct in the FGF-2 HIS group. Highest cell numbers were obtained with 30 ng/mL rhFGF-2. Nevertheless, we suggest that low dose hFGF-2 is more suited for osteogenic differentiation. However, this hypothesis still remains to be investigated in more detail, probably by means of quantitative Real time PCR and using osteogenic medium. We conclude that both, FGF-2 HIS and rhFGF-2, are biological active, but they have to be regarded separately concerning the administered dosage

Comparative analysis of high-sensitivity cardiac troponin I and T for their association with coronary computed tomography-assessed calcium scoring represented by the Agatston score

Background: This study evaluates the association between high-sensitivity cardiac troponin I (hs-cTnI) and T (hs-cTnT) and coronary calcium concentration (CAC) detected by coronary computed tomography (CCT) and evaluated with the Agatston score in patients with suspected coronary artery disease (CAD). Methods: Patients undergoing CCT during routine clinical care were enrolled prospectively. CCT was indicated for patients with a low to intermediate pretest probability for CAD. Within 24 h of CCT examination, peripheral blood samples were taken to measure cardiac biomarkers hs-cTnI and hs-cTnT. Results: A total of 76 patients were enrolled including 38% without detectable CAC, 36% with an Agatston score from 1 to 100, 17% from 101 to 400, and 9% with values ≥ 400. hs-cTnI was increasing alongside Agatston score and was able to differentiate between different groups of Agatston scores. Both hs-cTn discriminated values greater than 100 (hs-cTnI, AUC = 0.663; p = 0.032; hs-cTnT, AUC = 0.650; p = 0.048). In univariate and multivariate logistic regression models, hs-cTnT and hs-cTnI were significantly associated with increased Agatston scores. Patients with hs-cTnT ≥ 0.02 µg/l and hs-cTnI ≥ 5.5 ng/l were more likely to reveal values ≥ 400 (hs-cTnT; OR = 13.4; 95% CI 1.545–116.233; p = 0.019; hs-cTnI; OR = 8.8; 95% CI 1.183–65.475; p = 0.034). Conclusion: The present study shows that the Agatston score was significantly correlated with hs cardiac troponins, both in univariable and multivariable linear regression models. Hs-cTnI is able to discriminate between different Agatston values. The present results might reveal potential cut-off values for hs cardiac troponins regarding different Agatston values. Trial registration Cardiovascular Imaging and Biomarker Analyses (CIBER), NCT03074253 https://clinicaltrials.gov/ct2/show/record/NCT0307425

Kinder mit geistiger Behinderung in Pflegefamilien: eine explorative Studie aus der Perspektive von Pflegeeltern

Die vorliegende Arbeit analysiert die Situation von Pflegekindern mit geistiger Behinderung in Pflegefamilien aus der Perspektive von Pflegeeltern. Die besonderen Erfahrungen eines Pflegekindes und die Motivation der Pflegeeltern treffen beim Übergang von der Herkunftsfamilie in die Pflegefamilie aufeinander. Das Erleben der Pflegeeltern, in der Phase des Übergangs und noch Jahre danach stehen dabei im Mittelpunkt. Eine explizite Betrachtung von Pflegefamilien, die ein Kind mit geistiger Behinderung im Rahmen der Vollzeitpflege in die Familie aufgenommen haben, wurde bisher wenig in den Blickpunkt gerückt. Diese Arbeit soll Einblicke in die Thematik geben. In einer empirischen Untersuchung wurden Aspekte von Motivation, Elternschaft, Bedeutung von Behinderung und Bindung im Kontext der Aufnahme eines Pflegekindes mit geistiger Behinderung untersucht. Zur Bearbeitung der Forschungsfragen wurde ein exploratives Forschungsdesign gewählt. Mithilfe qualitativer Leitfadeninterviews wurden Pflegeeltern befragt. Die Auswertung der gewonnenen qualitativen Daten geschieht durch eine qualitative Inhaltsanalyse, insbesondere durch eine zusammenfassende Inhaltsanalyse nach Mayring. Die Studie versteht sich als eine explorative Studie zur Hypothesengenerierung und für weitere empirische Untersuchungen

Network Simulation for Pedestrian Flows with HyDEFS

The reliable simulation of pedestrian movement is an essential tool for the security aware design and analysis of buildings and infrastructure. We developed HyDEFS, an event-driven dynamic flow simulation software which is designed to simulate pedestrian movement depending on varying routing decisions of the individual users and varying constraints. HyDEFS uses given density depending velocities to model congestions and evaluates flow distributions with respect to average and maximum travel time. This is of particular importance when considering evacuation scenarios. We apply HyDEFS on two small networks and cross validate its results by time-discrete and time-continuous calculations

Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling

Identifying relevant signatures for clinical patient outcome is a fundamental task in high-throughput studies. Signatures, composed of features such as mRNAs, miRNAs, SNPs or other molecular variables, are often non-overlapping, even though they have been identified from similar experiments considering samples with the same type of disease. The lack of a consensus is mostly due to the fact that sample sizes are far smaller than the numbers of candidate features to be considered, and therefore signature selection suffers from large variation. We propose a robust signature selection method that enhances the selection stability of penalized regression algorithms for predicting survival risk. Our method is based on an aggregation of multiple, possibly unstable, signatures obtained with the preconditioned lasso algorithm applied to random (internal) subsamples of a given cohort data, where the aggregated signature is shrunken by a simple thresholding strategy. The resulting method, RS-PL, is conceptually simple and easy to apply, relying on parameters automatically tuned by cross validation. Robust signature selection using RS-PL operates within an (external) subsampling framework to estimate the selection probabilities of features in multiple trials of RS-PL. These probabilities are used for identifying reliable features to be included in a signature. Our method was evaluated on microarray data sets from neuroblastoma, lung adenocarcinoma, and breast cancer patients, extracting robust and relevant signatures for predicting survival risk. Signatures obtained by our method achieved high prediction performance and robustness, consistently over the three data sets. Genes with high selection probability in our robust signatures have been reported as cancer-relevant. The ordering of predictor coefficients associated with signatures was well-preserved across multiple trials of RS-PL, demonstrating the capability of our method for identifying a transferable consensus signature. The software is available as an R package rsig at CRAN (http://cran.r-project.org)

Providing Information by Resource- Constrained Data Analysis

The Collaborative Research Center SFB 876 (Providing Information by Resource-Constrained Data Analysis) brings together the research fields of data analysis (Data Mining, Knowledge Discovery in Data Bases, Machine Learning, Statistics) and embedded systems and enhances their methods such that information from distributed, dynamic masses of data becomes available anytime and anywhere. The research center approaches these problems with new algorithms respecting the resource constraints in the different scenarios. This Technical Report presents the work of the members of the integrated graduate school