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Die von Friedhelm Brusniak und Ulrich Konrad betreute und angenommene Dissertation nimmt den Briefwechsel zwischen August Heinrich Hoffmann von Fallersleben und dem jüngeren Augsburger Kapellmeister und Komponisten Hans Michael Schletterer in den Jahren 1862 bis 1873 in den Blick und dokumentiert dabei Hoffmanns Einfluss auf den Entstehungsprozess der Vertonungen seiner Lieder, besonders seiner Kinderlieder. Die Arbeit beleuchtet zudem den Erfahrungsschatz, den sich der ‚Dichter-Sänger‘ Hoffmann von Fallersleben auch durch die Zusammenarbeit mit anderen Musikern seiner Zeit, vorrangig Ludwig Christian Erk (1807–1883) und Ernst Heinrich Leopold Richter (1805–1876), erworben hatte. Darüber hinaus werden in der Korrespondenz Themen des gesellschaftlichen und politischen Lebens, der privaten und beruflichen Situation beider wie auch Hoffmanns Rolle als väterlicher Berater Schletterers berührt. Die Arbeit darf als neuer substantieller Beitrag der Hoffmann-Forschung und der interdisziplinären Liedforschung angesehen werden, der insbesondere der Kinderliedforschung neue Impulse verleiht.
Among the defense strategies developed in microbes over millions of years, the innate adaptive CRISPR-Cas immune systems have spread across most of bacteria and archaea. The flexibility, simplicity, and specificity of CRISPR-Cas systems have laid the foundation for CRISPR-based genetic tools. Yet, the efficient administration of CRISPR-based tools demands rational designs to maximize the on-target efficiency and off-target specificity. Specifically, the selection of guide RNAs (gRNAs), which play a crucial role in the target recognition of CRISPR-Cas systems, is non-trivial. Despite the fact that the emerging machine learning techniques provide a solution to aid in gRNA design with prediction algorithms, design rules for many CRISPR-Cas systems are ill-defined, hindering their broader applications.
CRISPR interference (CRISPRi), an alternative gene silencing technique using a catalytically dead Cas protein to interfere with transcription, is a leading technique in bacteria for functional interrogation, pathway manipulation, and genome-wide screens. Although the application is promising, it also is hindered by under-investigated design rules. Therefore, in this work, I develop a state-of-art predictive machine learning model for guide silencing efficiency in bacteria leveraging the advantages of feature engineering, data integration, interpretable AI, and automated machine learning. I first systematically investigate the influential factors that attribute to the extent of depletion in multiple CRISPRi genome-wide essentiality screens in Escherichia coli and demonstrate the surprising dominant contribution of gene-specific effects, such as gene expression level. These observations allowed me to segregate the confounding gene-specific effects using a mixed-effect random forest (MERF) model to provide a better estimate of guide efficiency, together with the improvement led by integrating multiple screens. The MERF model outperformed existing tools in an independent high-throughput saturating screen. I next interpret the predictive model to extract the design rules for robust gene silencing, such as the preference for cytosine and disfavoring for guanine and thymine within and around the protospacer adjacent motif (PAM) sequence. I further incorporated the MERF model in a web-based tool that is freely accessible at www.ciao.helmholtz-hiri.de.
When comparing the MERF model with existing tools, the performance of the alternative gRNA design tool optimized for CRISPRi in eukaryotes when applied to bacteria was far from satisfying, questioning the robustness of prediction algorithms across organisms. In addition, the CRISPR-Cas systems exhibit diverse mechanisms albeit with some similarities. The captured predictive patterns from one dataset thereby are at risk of poor generalization when applied across organisms and CRISPR-Cas techniques. To fill the gap, the machine learning approach I present here for CRISPRi could serve as a blueprint for the effective development of prediction algorithms for specific organisms or CRISPR-Cas systems of interest. The explicit workflow includes three principle steps: 1) accommodating the feature set for the CRISPR-Cas system or technique; 2) optimizing a machine learning model using automated machine learning; 3) explaining the model using interpretable AI. To illustrate the applicability of the workflow and diversity of results when applied across different bacteria and CRISPR-Cas systems, I have applied this workflow to analyze three distinct CRISPR-Cas genome-wide screens. From the CRISPR base editor essentiality screen in E. coli, I have determined the PAM preference and sequence context in the editing window for efficient editing, such as A at the 2nd position of PAM, A/TT/TG downstream of PAM, and TC at the 4th to 5th position of gRNAs. From the CRISPR-Cas13a screen in E. coli, in addition to the strong correlation with the guide depletion, the target expression level is the strongest predictor in the model, supporting it as a main determinant of the activation of Cas13-induced immunity and better characterizing the CRISPR-Cas13 system. From the CRISPR-Cas12a screen in Klebsiella pneumoniae, I have extracted the design rules for robust antimicrobial activity across K. pneumoniae strains and provided a predictive algorithm for gRNA design, facilitating CRISPR-Cas12a as an alternative technique to tackle antibiotic resistance.
Overall, this thesis presents an accurate prediction algorithm for CRISPRi guide efficiency in bacteria, providing insights into the determinants of efficient silencing and guide designs. The systematic exploration has led to a robust machine learning approach for effective model development in other bacteria and CRISPR-Cas systems. Applying the approach in the analysis of independent CRISPR-Cas screens not only sheds light on the design rules but also the mechanisms of the CRISPR-Cas systems. Together, I demonstrate that applied machine learning paves the way to a deeper understanding and a broader application of CRISPR-Cas systems.
Cognition refers to the ability to of animals to acquire, process, store and use vital information from the environment. Cognitive processes are necessary to predict the future and reduce the uncertainty of the ever-changing environment. Classically, research on animal cognition focuses on decisive cognitive tests to determine the capacity of a species by the testing the ability of a few individuals. This approach views variability between these tested key individuals as unwanted noise and is thus often neglected. However, inter-individual variability provides important insights to behavioral plasticity, cognitive specialization and brain modularity. Honey bees Apis mellifera are a robust and traditional model for the study of learning, memory and cognition due to their impressive capabilities and rich behavioral repertoire. In this thesis I have applied a novel view on the learning abilities of honey bees by looking explicitly at individual differences in a variety of learning tasks. Are some individual bees consistently smarter than some of her sisters? If so, will a smart individual always perform good independent of the time, the context and the cognitive requirements or do bees show distinct isolated ‘cognitive modules’?
My thesis presents the first comprehensive investigation of consistent individual differences in the cognitive abilities of honey bees. To speak of an individual as behaving consistently, a crucial step is to test the individual multiple times to examine the repeatability of a behavior. I show that free-flying bees remain consistent in a visual discrimination task for three consecutive days. Successively, I explored individual consistency in cognitive proficiency across tasks involving different sensory modalities, contexts and cognitive requirements. I found that free-flying bees show a cognitive specialization between visual and olfactory learning but remained consistent across a simple discrimination task and a complex concept learning task. I wished to further explore individual consistency with respect to tasks of different cognitive complexity, a question that has never been tackled before in an insect. I thus performed a series of four experiments using either visual or olfactory stimuli and a different training context (free-flying and restrained) and tested bees in a discrimination task, reversal learning and negative patterning. Intriguingly, across all these experiments I evidenced the same results: The bees’ performances were consistent across the discrimination task and reversal learning and negative patterning respectively. No association was evidenced between reversal learning and negative patterning. After establishing the existence of consistent individual differences in the cognitive proficiency of honey bees I wished to determine factors which could underlie these differences. Since genetic components are known to underlie inter-individual variability in learning abilities, I studied the effects of genetics on consistency in cognitive proficiency by contrasting bees originating from either from a hive with a single patriline (low genetic diversity) or with multiple patrilines (high genetic diversity). These two groups of bees showed differences in the patterns of individually correlated performances, indicating a genetic component accounts for consistent cognitive individuality. Another major factor underlying variability in learning performances is the individual responsiveness to sucrose solution and to visual stimuli, as evidenced by many studies on restrained bees showing a positive correlation between responsiveness to task relevant stimuli and learning performances. I thus tested whether these relationships between sucrose/visual responsiveness and learning performances are applicable for free-flying bees. Free-flying bees were again subjected to reversal learning and negative patterning and subsequently tested in the laboratory for their responsiveness to sucrose and to light. There was no evidence of a positive relationship between sucrose/visual responsiveness and neither performances of free-flying bees in an elemental discrimination, reversal learning and negative patterning. These findings indicate that relationships established between responsiveness to task relevant stimuli and learning proficiency established in the laboratory with restrained bees might not hold true for a completely different behavioral context i.e. for free-flying bees in their natural environment.
These results show that the honey bee is an excellent insect model to study consistency in cognitive proficiency and to identify the underlying factors. I mainly discuss the results with respect to the question of brain modularity in insects and the adaptive significance of individuality in cognitive abilities for honey bee colonies. I also provide a proposition of research questions which tie in this theme of consistent cognitive proficiency and could provide fruitful areas for future research.
Evaluierung prognostischer und prädiktiver Biomarker beim neoadjuvant vorbehandelten Rektumkarzinom
(2024)
Fragestellung. Osteopontin (OPN) kann im Blut nachgewiesen werden und wird bei vielen Tumorentitäten exprimiert, wie auch der Tyrosinkinaserezeptor c-Met und sein Ligand, das Zytokin Hepatocyte Growth Factor (HGF). In der vorliegenden Arbeit untersuchten wir die prognostische und prädiktive Wertigkeit der Plasmakonzentrationen von OPN, c-Met und HGF bei Patienten mit lokal fortgeschrittenem Rektumkarzinom (LARC).
Methodik. Das Plasma von 63 Patienten mit LARC wurde untersucht. Die Blutentnahmen (EDTA-Plasma) erfolgten vor Therapiebeginn sowie im Verlauf. Die Plasmaspiegel von OPN, c-Met und HGF wurden mittels Enzyme-Linked Immunosorbent Assay analysiert. Die Konzentrationen wurden auf eine Korrelation mit den klinischen Parametern untersucht.
Ergebnisse. 68 Patienten wurden neoadjuvant mit einer Radiochemotherapie behandelt, 63 Blutproben wurden untersucht. Initial befanden sich nach UICC 14 Patienten in Stadium II, 47 in Stadium III und 7 in Stadium IV. Das mediane Follow-Up betrug 29,87 Monate. 20 der 68 Patienten (29,4 %) verstarben, 19 entwickelten Fernmetastasen. OPN korrelierte signifikant mit dem Überleben (p=0,001). OPN-Werte korrelierten mit dem pT-Stadium (R:0,445 p=0,018) und dem pUICC-Stadium (R:0,412 p=0,018), sowie mit dem Auftreten von Fernmetastasen (R:0,271 p=0,031). Eine Korrelation zwischen OPN und dem Therapieansprechen konnte gezeigt werden: pathologisch komplette Remission (pCR) (R:0,379 p=0,001), NAR-Score (R:0,373 p=0,015), TRG (R:0,380 p=0,020). Die logistische Regressionsanalyse ergab eine Prädiktivität OPNs für pCR (OR:0,990 p=0,009), NAR-Score (OR:1,008 p=0,007), TRG (OR:0,459 p=0,008). C-Met und HGF korrelierten nicht mit dem Überleben. Für c-Met und HGF ergab sich keine Korrelation zu initialen klinischen Daten und Therapieansprechen. Die logistische Regression ergab keinen prädiktiven Wert.
Schlussfolgerung. Die Plasmakonzentration von OPN besitzt prognostische und prädiktive Wertigkeit beim LARC. Die Konzentrationen von c-Met und HGF sind nicht prognostisch für das Überleben oder prädiktiv für das Therapieansprechen.
There is a great need for valuable ex vivo models that allow for assessment of cartilage repair strategies to reduce the high number of animal experiments. In this paper we present three studies with our novel ex vivo osteochondral culture platform. It consists of two separated media compartments for cartilage and bone, which better represents the in vivo situation and enables supply of factors pecific to the different needs of bone and cartilage. We investigated whether separation of the cartilage and bone compartments and/or culture media results in the maintenance of viability, structural and functional properties of cartilage tissue. Next, we valuated for how long we can preserve cartilage matrix stability of osteochondral explants during long-term culture over 84 days. Finally, we determined the optimal defect size that does not show spontaneous self-healing in this culture system. It was demonstrated that separated compartments for cartilage and bone in combination with tissue-specific medium allow for long-term culture of osteochondral explants while maintaining cartilage viability, atrix tissue content, structure and mechanical properties for at least 56 days. Furthermore, we could create critical size cartilage defects of different sizes in the model. The osteochondral model represents a valuable preclinical ex vivo tool for studying clinically relevant cartilage therapies, such as cartilage biomaterials, for their regenerative potential, for evaluation of drug and cell therapies, or to study mechanisms of cartilage regeneration. It will undoubtedly reduce the number of animals needed for in vivotesting.
Politische Bildung übt nicht nur einen großen Einfluss auf die zukünftige Konstellation des politischen Systems aus, sondern beeinflusst ebenfalls das soziale Miteinander prägend. Damit werden entscheidende Weichen für die Entwicklung der Gesellschaft, der Nation und des Staates gestellt. Im Zuge dieses Prozesses durchläuft jeder junge Bürger einen politischen Bildungsweg an Schulen. Die Vorgaben darüber, wie schulische politische Bildung auszusehen hat und welche Kompetenzen Schüler in diesem Zusammenhang erwerben sollen, geben die Kultus- bzw. Bildungsministerien in Curricula vor, verbindlich für alle Lehrer. Durch eine komparative Analyse der Curricula kann damit eindeutig die staatlich vorgegebene politische, gesellschaftliche und soziale Richtung festgestellt werden, die junge Menschen einschlagen sollen. Welche edukativen Ziele der politischen Bildung werden verfolgt? Was sollen Schüler lernen, um mit diesen Kompetenzen die Zukunft ihres Kollektivs zu gestalten? Wo liegen die Gemeinsamkeiten und Unterschiede zweier Staaten, in unserem Fall Deutschlands und Polens, im Hinblick auf die schulische politische Bildung? Beantwortet werden diese Fragestellungen durch das Anwenden zweier Methoden der qualitativen Sozialforschung, der komparativen Inhaltsanalyse, zum einen der strukturierenden zum anderen der induktiven. Davor erfolgt eine komparativ quantitative Untersuchung, die den Umfang der Unterrichtszeit in den Leitfächern für politische Bildung in allen Bundesländern und in Polen vergleicht, was einer empirischen Totalerhebung der komplex umfangreichen Daten entspricht. Die quantitativen Forschungsergebnisse zeigen deutliche Differenzen zwischen Deutschland und Polen, in einem der beiden Staaten wird signifikant mehr Zeit für politische Bildung im Leitfach dieser Disziplin investiert als im anderen. Anhand der qualitativen Daten ist zu erkennen, dass einerseits eine gemeinsame Grundbasis von Kompetenzen der politischen Bildung zwischen Deutschland und Polen besteht. Anderseits stechen in beiden Ländern eindeutige Unterschiede hervor, deren Ursprung zum einen historische Erfahrungen der Nationen und Staaten abbildet, zum anderen aktuell gegensätzliche politische Interessen untermauert.
SMART (Simple Modular Architecture Research Tool) is a web resource (https://smart.embl.de) for the identification and annotation of protein domains and the analysis of protein domain architectures. SMART version 9 contains manually curatedmodels formore than 1300 protein domains, with a topical set of 68 new models added since our last update article (1). All the new models are for diverse recombinase families and subfamilies and as a set they provide a comprehensive overview of mobile element recombinases namely transposase, integrase, relaxase, resolvase, cas1 casposase and Xer like cellular recombinase. Further updates include the synchronization of the underlying protein databases with UniProt (2), Ensembl (3) and STRING (4), greatly increasing the total number of annotated domains and other protein features available in architecture analysis mode. Furthermore, SMART's vector-based protein display engine has been extended and updated to use the latest web technologies and the domain architecture analysis components have been optimized to handle the increased number of protein features available.
Hintergrund
Ein neues Rahmenkonzept hat die flexible Ableitung und Nutzung von rheumatologischen Schulungsprogrammen für unterschiedliche Versorgungsbereiche ermöglicht. Auf dieser Grundlage wurde eine 5‑stündige Basisschulung für Patienten mit rheumatoider Arthritis (RA) entwickelt, es wurden rheumatologische Fachärzte und Psychologen trainiert, und dann wurde die Wirksamkeit nach dem Wirkmodell der Patientenschulung evaluiert.
Methoden
Mit dem Studiendesign einer extern randomisierten Wartekontrollgruppenstudie mit 3 Messzeitpunkten wurde geprüft, wie sich die 5‑stündige Basisschulung auf das Erkrankungs- und Behandlungswissen sowie auf die Gesundheitskompetenz von RA-Patienten (n = 249) auswirkt. Weitere Fragen betrafen Einstellungsparameter, Kommunikationskompetenz, Erkrankungsauswirkungen und die Zufriedenheit mit der Schulung. Die Auswertungen erfolgten auf Intention-to-treat-Basis mit Kovarianzanalysen für die Hauptzielgrößen unter Berücksichtigung des Ausgangswertes.
Ergebnisse
Die Analysen zeigen, dass die Basisschulung RA wirksam ist. Noch 3 Monate nach der Schulung verfügten die Schulungsteilnehmer über mehr Wissen und Gesundheitskompetenz als die Wartekontrollgruppe mit kleinem bis mittelgroßem Effekt (d = 0,37 bzw. 0,38). In den Nebenzielgrößen zeigten sich mit Ausnahme der Krankheitskommunikation keine weiteren Schulungseffekte.
Diskussion
Die Basisschulung bietet eine gute Grundlage, auf der weitere Interventionen zur Verbesserung von Einstellungs- und Erkrankungsparametern aufbauen können. Sie eignet sich damit als zentraler Baustein für die rheumatologische Versorgung auf verschiedenen Ebenen.
Interpreting gaze behavior is essential in evaluating interaction partners, yet the ‘semantics of gaze’ in dynamic interactions are still poorly understood. We aimed to comprehensively investigate effects of gaze behavior patterns in different conversation contexts, using a two-step, qualitative-quantitative procedure. Participants watched video clips of single persons listening to autobiographic narrations by another (invisible) person. The listener’s gaze behavior was manipulated in terms of gaze direction, frequency and direction of gaze shifts, and blink frequency; emotional context was manipulated through the valence of the narration (neutral/negative). In Experiment 1 (qualitative-exploratory), participants freely described which states and traits they attributed to the listener in each condition, allowing us to identify relevant aspects of person perception and to construct distinct rating scales that were implemented in Experiment 2 (quantitative-confirmatory). Results revealed systematic and differential meanings ascribed to the listener’s gaze behavior. For example, rapid blinking and fast gaze shifts were rated more negatively (e.g., restless and unnatural) than slower gaze behavior; downward gaze was evaluated more favorably (e.g., empathetic) than other gaze aversion types, especially in the emotionally negative context. Overall, our study contributes to a more systematic understanding of flexible gaze semantics in social interaction.
Background
Deregulated expression of MYC is a driver of colorectal carcinogenesis, suggesting that decreasing MYC expression may have significant therapeutic value. CIP2A is an oncogenic factor that regulates MYC expression. CIP2A is overexpressed in colorectal cancer (CRC), and its expression levels are an independent marker for long-term outcome of CRC. Previous studies suggested that CIP2A controls MYC protein expression on a post-transcriptional level.
Methods
To determine the mechanism by which CIP2A regulates MYC in CRC, we dissected MYC translation and stability dependent on CIP2A in CRC cell lines.
Results
Knockdown of CIP2A reduced MYC protein levels without influencing MYC stability in CRC cell lines. Interfering with proteasomal degradation of MYC by usage of FBXW7-deficient cells or treatment with the proteasome inhibitor MG132 did not rescue the effect of CIP2A depletion on MYC protein levels. Whereas CIP2A knockdown had marginal influence on global protein synthesis, we could demonstrate that, by using different reporter constructs and cells expressing MYC mRNA with or without flanking UTR, CIP2A regulates MYC translation. This interaction is mainly conducted by the MYC 5′UTR.
Conclusions
Thus, instead of targeting MYC protein stability as reported for other tissue types before, CIP2A specifically regulates MYC mRNA translation in CRC but has only slight effects on global mRNA translation. In conclusion, we propose as novel mechanism that CIP2A regulates MYC on a translational level rather than affecting MYC protein stability in CRC.
Formation and treatment of biofilms present a great challenge for health care and industry. About 80% of human infections are associated with biofilms including biomaterial centered infections, like infections of prosthetic heart valves, central venous catheters, or urinary catheters. Additionally, biofilms can cause food and drinking water contamination. Biofilm research focusses on application of experimental biofilm models to study initial adherence processes, to optimize physico-chemical properties of medical materials for reducing interactions between materials and bacteria, and to investigate biofilm treatment under controlled conditions. Exploring new antimicrobial strategies plays a key role in a variety of scientific disciplines, like medical material research, anti-infectious research, plant engineering, or wastewater treatment. Although a variety of biofilm models exist, there is a lack of standardization for experimental protocols, and designing experimental setups remains a challenge. In this study, a number of experimental parameters critical for material research have been tested that influence formation and stability of an experimental biofilm using the non-pathogenic model strain of Pseudomonas fluorescens. These parameters include experimental time frame, nutrient supply, inoculum concentration, static and dynamic cultivation conditions, material properties, and sample treatment during staining for visualization of the biofilm. It was shown, that all tested parameters critically influence the experimental biofilm formation process. The results obtained in this study shall support material researchers in designing experimental biofilm setups.
In this work, we present a multimodal approach to three-dimensionally quantify and visualize fiber orientation and resin-rich areas in carbon-fiber-reinforced polymers manufactured by vacuum infusion. Three complementary image modalities were acquired by Talbot–Lau grating interferometer (TLGI) X-ray microcomputed tomography (XCT). Compared to absorption contrast (AC), TLGI-XCT provides enhanced contrast between polymer matrix and carbon fibers at lower spatial resolutions in the form of differential phase contrast (DPC) and dark-field contrast (DFC). Consequently, relatively thin layers of resin, effectively indiscernible from image noise in AC data, are distinguishable. In addition to the assessment of fiber orientation, the combination of DPC and DFC facilitates the quantification of resin-rich areas, e.g., in gaps between fiber layers or at binder yarn collimation sites. We found that resin-rich areas between fiber layers are predominantly developed in regions characterized by a pronounced curvature. In contrast, in-layer resin-rich areas are mainly caused by the collimation of fibers by binder yarn. Furthermore, void volume around two adjacent 90°-oriented fiber layers is increased by roughly 20% compared to a random distribution over the whole specimen.
The article deals with the pedagogical content knowledge of mathematical modelling as part of the professional competence of pre-service teachers. With the help of a test developed for this purpose from a conceptual model, we examine whether this pedagogical content knowledge can be promoted in its different facets—especially knowledge about modelling tasks and about interventions—by suitable university seminars. For this purpose, the test was administered to three groups in a seminar for the teaching of mathematical modelling: (1) to those respondents who created their own modelling tasks for use with students, (2) to those trained to intervene in mathematical modelling processes, and (3) participating students who are not required to address mathematical modelling. The findings of the study—based on variance analysis—indicate that certain facets (knowledge of modelling tasks, modelling processes, and interventions) have increased significantly in both experimental groups but to varying degrees. By contrast, pre-service teachers in the control group demonstrated no significant change to their level of pedagogical content knowledge.
In 2020, cancer was the leading cause of death worldwide, accounting for nearly 10 million deaths. Lung cancer was the most common cancer, with 2.21 million cases per year in both sexes. This non-homogeneous disease is further subdivided into small cell lung cancer (SCLC, 15%) and non-small cell lung cancer (NSCLC, 85%). By 2023, the American Cancer Society estimates that NSCLC will account for 13% of all new cancer cases and 21% of all estimated cancer deaths. In recent years, the treatment of patients with NSCLC has improved with the development of new therapeutic interventions and the advent of targeted and personalised therapies. However, these advances have only marginally improved the five-year survival rate, which remains alarmingly low for patients with NSCLC. This observation highlights the importance of having more appropriate experimental and preclinical models to recapitulate, identify and test novel susceptibilities in NSCLC. In recent years, the Trp53fl/fl KRaslsl-G12D/wt mouse model developed by Tuveson, Jacks and Berns has been the main in vivo model used to study NSCLC. This model mimics ADC and SCC to a certain extent. However, it is limited in its ability to reflect the genetic complexity of NSCLC. In this work, we use CRISPR/Cas9 genome editing with targeted mutagenesis and gene deletions to recapitulate the conditional model. By comparing the Trp53fl/fl KRaslsl- G12D/wt with the CRISPR-mediated Trp53mut KRasG12D, we demonstrated that both showed no differences in histopathological features, morphology, and marker expression. Furthermore, next-generation sequencing revealed a very high similarity in their transcriptional profile. Adeno-associated virus-mediated tumour induction and the modular design of the viral vector allow us to introduce additional mutations in a timely manner. CRISPR-mediated mutation of commonly mutated tumour suppressors in NSCLC reliably recapitulated the phenotypes described in patients in the animal model. Lastly, the dual viral approach could induce the formation of lung tumours not only in constitutive Cas9 expressing animals, but also in wildtype animals. Thus, the implementation of CRISPR genome editing can rapidly advance the repertoire of in vivo models for NSCLC research. Furthermore, it can reduce the necessity of extensive breeding.
Optimization problems with composite functions consist of an objective function which is the sum of a smooth and a (convex) nonsmooth term. This particular structure is exploited by the class of proximal gradient methods and some of their generalizations like proximal Newton and quasi-Newton methods. The current literature on these classes of methods almost exclusively considers the case where also the smooth term is convex. Here we present a globalized proximal Newton-type method which allows the smooth term to be nonconvex. The method is shown to have nice global and local convergence properties, and some numerical results indicate that this method is very promising also from a practical point of view.
In der Dissertation „Zwei Burschenschafter als Bürgermeister im Dritten Reich. Theo Memmel in Würzburg und Paul May in Halle im Vergleich.“ steht die Untersuchung der Lebenswege der beiden Wahlbeamten Dr. Paul May und Theodor Memmel anhand ihrer Biographien im Fokus. May glitt dank seiner sich stetig erweiternden Fachkenntnisse sowie seiner Anpassungsfähigkeit durchweg in Leistungspositionen problemlos durch vier politische Systeme - vom Kaiserreich bis zur DDR. Seiner bürgerlichen politischen Ausrichtung blieb er hierbei stets treu. Memmel hingegen machte bedingt durch seine an-dere und gravierendere Weltkriegserfahrung einen Prozess vom politisch des-interessierten Front- und Freikorpskämpfer über die Bayerische Volkspartei hin zum überzeugten Nationalsozialisten. Nach dem Untergang des Dritten Reichs stand er vor dem Nichts, sowohl in beruflicher als auch in politischer Hinsicht. In seiner Studentenverbindung fand er jedoch einen Raum, in dem er sich engagieren und Anerkennung finden konnte.
Da May und Memmel durch ihre gemeinsame studentische Korporation gleich sozialisiert wurden und sie sich auf unterschiedliche Weise wie ein ro-ter Faden durch ihr Leben zog, erfuhr diese ebenfalls eine Untersuchung. Hierbei ergab sich, dass die Wandlung von der toleranten Progressverbindung Adelphia zur pflichtschlagenden Burschenschaft in der Deutschen Burschen-schaft im Jahr 1933 keinen plötzlichen Bruch darstellte, sondern vielmehr die Folge einer langjährigen Entwicklung war, wobei der Erste Weltkrieg als be-sonders einschneidender Faktor zu bewerten ist. Am letztendlichen Art- und Dachverbandswechsel hatte auch Memmel einen entscheidenden Anteil. Dass nach der Umwandlung der waffenstudentischen Verbindungen in NS-Kameradschaften diese (auch Adelphia) während des Zweiten Weltkriegs teil-weise in Würzburg im Verborgenen wiedererstehen konnten, hing auch mit der Patronage durch Memmel und sein imposantes Netzwerk zusammen.
Den dritten Untersuchungskomplex dieser Arbeit bildet die kommunale Entwicklung von Groß- und Gauhauptstädten im Dritten Reich, da sowohl Würzburg als auch Halle eine solche verkörperten. Ein Vergleich mit anderen Städten unter denselben Voraussetzungen lässt darauf schließen: Wer 1933/34 Oberbürgermeister einer Groß- und Gauhauptstadt wurde, verdank-te dies nicht seiner Qualifikation. Die Nationalsozialisten, die dieses Amt er-hielten, bemühten sich noch nicht einmal darum, es zu bekommen. Vielmehr stellten sie einen Kompromiss aus den jeweiligen lokalen Macht- und Interes-senskonstellationen dar. Eine Ausnahme hiervon bilden nur die wenigen Städte, in denen bereits vor 1933 ein NSDAP-Angehöriger als Stadtoberhaupt kandidiert hatte. Der Status der Gauhauptstadt führte für die jeweiligen Oberbürgermeister zu einem ganz besonderen Unterstellungsverhältnis, das sich als zweiseitiges Schwert entpuppte: Einerseits erhielt ihre Kommune spezielle Förderung, andererseits standen sie unter einem hohem Erwar-tungsdruck, der sich vielerorts in einem schlechten Verhältnis von Oberbür-germeister und Gauleiter manifestierte. Das Oberbürgermeisteramt im Drit-ten Reich stellte aus beruflicher Sicht einen doppelten Bruch mit der Zeit vor 1933 dar: Zum einen konnte man ohne die bis dahin üblichen Qualifikationen zum Wahlbeamten einer Großstadt aufsteigen, andererseits bedeutete dies auch gleichzeitig das Karriereende.
Abstract
To compare intravenous contrast material (CM) injection protocols for dual-energy CT pulmonary angiography (CTPA) in patients with suspected acute pulmonary embolism with regard to image quality and pulmonary perfused blood volume (PBV) values. A total of 198 studies performed with four CM injection protocols varying in CM volume and iodine delivery rates (IDR) were retrospectively included: (A) 60 ml at 5 ml/s (IDR = 1.75gI/s), (B) 50 ml at 5 ml/s (IDR = 1.75gI/s), (C) 50 ml at 4 ml/s (IDR = 1.40gI/s), (D) 40 ml at 3 ml/s (IDR = 1.05gI/s). Image quality and PBV values at different resolution settings were compared. Pulmonary arterial tract attenuation was highest for protocol A (397 ± 110 HU; p vs. B = 0.13; vs. C = 0.02; vs. D < 0.001). CTPA image quality of protocol A was rated superior compared to protocols B and D by reader 1 (p = 0.01; < 0.001), and superior to protocols B, C and D by reader 2 (p < 0.001; 0.02; < 0.001). Otherwise, there were no significant differences in CTPA quality ratings. Subjective iodine map ratings did not vary significantly between protocols A, B, and C. Both readers rated protocol D inferior to all other protocols (p < 0.05). PBV values did not vary significantly between protocols A and B at resolution settings of 1, 4 and 10 (p = 0.10; 0.10; 0.09), while otherwise PBV values displayed a decreasing trend from protocol A to D (p < 0.05). Higher CM volume and IDR are associated with superior CTPA and iodine map quality and higher absolute PBV values.