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Start Thinking in Systems / Berthold Kracke
Buying into Fraud – German Retail Investors and the Wirecard Scandal / Konstantin Bräuer, Andreas Hackethal, Guido Lenz, Thomas Pauls
Insights from Explainable Interactive Machine Learning in the Age of COVID-19 / Oliver Hinz, Nicolas Pfeuffer, Wolfgang Stammer, Patrick Schramowski, Benjamin M. Abdel-Karim, Andreas Bucher, Christian Hügel, Gernot Rohde, Kristian Kersting
The Customer Determines the Success or Failure of the Company : interview with Philipp Schmitt
Digitalizing Asset Management – The Way Forward / Alexander Lichtenberg
Economic Value of Data / Rene Laub, Klaus Miller, Bernd Skiera
DBPal: A Novel Lightweight NL2SQL Training Pipeline / Benjamin Hättasch, Nadja Geisler, Carsten Binnig
Why Open Innovation in B2B Needs a Push interview with Sven Siering
Closing the Gap between Physical and Electronic Trading / Michael König
Estimating Network Effects in Two-Sided Markets / Oliver Hinz, Thomas Otter, Bernd Skiera
Investor Attention and Algorithmic Decision Making in Financial Markets / Benjamin Clapham, Michael Siering, Peter Gomber
Why Getting Started with Data Science Is Scary, and a Necessity : interview with Kim Nilsson
The efl publishes the insights in the form of a periodic newsletter which appears two times a year. Besides a number of printed copies, the efl insights is distributed digitally via E-mail for reasons of saving natural resources. The main purpose of the newsletter is to provide latest efl research results to our audience. Therefore, the main part is the description of two research results on a managerial level – complemented by an editorial, an interview, and some short news.
The ongoing digitalization of educational resources and the use of the internet lead to a steady increase of potentially available learning media. However, many of the media which are used for educational purposes have not been designed specifically for teaching and learning. Usually, linguistic criteria of readability and comprehensibility as well as content-related criteria are used independently to assess and compare the quality of educational media. This also holds true for educational media used in economics. This article aims to improve the analysis of textual learning media used in economic education by drawing on threshold concepts. Threshold concepts are key terms in knowledge acquisition within a domain. From a linguistic perspective, however, threshold concepts are instances of specialized vocabularies, exhibiting particular linguistic features. In three kinds of (German) resources, namely in textbooks, in newspapers, and on Wikipedia, we investigate the distributive profiles of 63 threshold concepts identified in economics education (which have been collected from threshold concept research). We looked at the threshold concepts' frequency distribution, their compound distribution, and their network structure within the three kinds of resources. The two main findings of our analysis show that firstly, the three kinds of resources can indeed be distinguished in terms of their threshold concepts' profiles. Secondly, Wikipedia definitely shows stronger associative connections between economic threshold concepts than the other sources. We discuss the findings in relation to adequate media use for teaching and learning—not only in economic education.
Introduction Occurrence of inaccurate or delayed diagnoses is a significant concern in patient care, particularly in emergency medicine, where decision making is often constrained by high throughput and inaccurate admission diagnoses. Artificial intelligence-based diagnostic decision support system have been developed to enhance clinical performance by suggesting differential diagnoses to a given case, based on an integrated medical knowledge base and machine learning techniques. The purpose of the study is to evaluate the diagnostic accuracy of Ada, an app-based diagnostic tool and the impact on patient outcome.
Methods and analysis The eRadaR trial is a prospective, double-blinded study with patients presenting to the emergency room (ER) with abdominal pain. At initial contact in the ER, a structured interview will be performed using the Ada-App and both, patients and attending physicians, will be blinded to the proposed diagnosis lists until trial completion. Throughout the study, clinical data relating to diagnostic findings and types of therapy will be obtained and the follow-up until day 90 will comprise occurrence of complications and overall survival of patients. The primary efficacy of the trial is defined by the percentage of correct diagnoses suggested by Ada compared with the final discharge diagnosis. Further, accuracy and timing of diagnosis will be compared with decision making of classical doctor–patient interaction. Secondary objectives are complications, length of hospital stay and overall survival.
Ethics and dissemination Ethical approval was received by the independent ethics committee (IEC) of the Goethe-University Frankfurt on 9 April 2020 including the patient information material and informed consent form. All protocol amendments must be reported to and adapted by the IEC. The results from this study will be submitted to peer-reviewed journals and reported at suitable national and international meetings.
Trial registration number DRKS00019098.
The Kinase Chemogenomic Set (KCGS): an open science resource for kinase vulnerability identification
(2021)
We describe the assembly and annotation of a chemogenomic set of protein kinase inhibitors as an open science resource for studying kinase biology. The set only includes inhibitors that show potent kinase inhibition and a narrow spectrum of activity when screened across a large panel of kinase biochemical assays. Currently, the set contains 187 inhibitors that cover 215 human kinases. The kinase chemogenomic set (KCGS), current Version 1.0, is the most highly annotated set of selective kinase inhibitors available to researchers for use in cell-based screens.
Drawing on the role of teachers for peer ecologies, we investigated whether students favored ethnically homogenous over ethnically diverse relationships, depending on classroom diversity and perceived teacher care. We specifically studied students’ intra- and interethnic relationships in classrooms with different ethnic compositions, accounting for homogeneous subgroups forming on the basis of ethnicity and gender diversity (i.e., ethnic-demographic faultlines). Based on multilevel social network analyses of dyadic networks between 1299 early adolescents in 70 German fourth grade classrooms, the results indicated strong ethnic homophily, particularly driven by German students who favored ethnically homogenous dyads over mixed dyads. As anticipated, the results showed that there was more in-group bias if perceived teacher care was low rather than high. Moreover, stronger faultlines were associated with stronger in-group bias; however, this relation was moderated by teacher care: If students perceived high teacher care, they showed a higher preference for mixed-ethnic dyads, even in classrooms with strong faultlines. These findings highlight the central role of teachers as agents of positive diversity management and the need to consider contextual classroom factors other than ethnic diversity when investigating intergroup relations in schools.
Transcription factors can serve as links between tumor microenvironment signaling and oncogenesis. Interferon regulatory factor 9 (IRF9) is recruited and expressed upon interferon stimulation and is dependent on cofactors that exert in tumor-suppressing or oncogenic functions via the JAK-STAT pathway. IRF9 is frequently overexpressed in human lung cancer and is associated with decreased patient survival; however, the underlying mechanisms remain to be elucidated. Here, we used stably transduced lung adenocarcinoma cell lines (A549 and A427) to overexpress or knockdown IRF9. Overexpression led to increased oncogenic behavior in vitro, including enhanced proliferation and migration, whereas knockdown reduced these effects. These findings were confirmed in vivo using lung tumor xenografts in nude mice, and effects on both tumor growth and tumor mass were observed. Using RNA sequencing, we identified versican (VCAN) as a novel downstream target of IRF9. Indeed, IRF9 and VCAN expression levels were found to be correlated. We showed for the first time that IRF9 binds at a newly identified response element in the promoter region of VCAN to regulate its transcription. Using an siRNA approach, VCAN was found to enable the oncogenic properties (proliferation and migration) of IRF9 transduced cells, perhaps with CDKN1A involvement. The targeted inhibition of IRF9 in lung cancer could therefore be used as a new treatment option without multimodal interference in microenvironment JAK-STAT signaling.
During the first two days of August 2016 a seismic crisis occurred on Brava, Cape Verde, which – according to observations based on a local seismic network – was characterized by more than thousand volcano–seismic signals. Brava is considered an active volcanic island, although it has not experienced any historic eruptions. Seismicity significantly exceeded the usual level during the crisis. We report on results based on data from a temporary seismic–array deployment on the neighbouring island of Fogo at a distance of about 35 km. The array was in operation from October 2015 to December 2016 and recorded a total of 1343 earthquakes, 355 thereof were localized. On 1 and 2 August we observed 54 earthquakes, 25 of which could be located beneath Brava. We further evaluate the observations with regards to possible precursors to the crisis and its continuation. Our analysis shows a migration of seismicity around Brava, but no distinct precursory pattern. However, the observations suggest that similar earthquake swarms commonly occur close to Brava. The results further confirm the advantages of seismic arrays as tools for the remote monitoring of regions with limited station coverage or access.
Inflammation is a crucial part of immune responses towards invading pathogens or tissue damage. While inflammatory reactions are aimed at removing the triggering stimulus, it is important that these processes are terminated in a coordinate manner to prevent excessive tissue damage due to the highly reactive inflammatory environment. Initiation of inflammatory responses was proposed to be regulated predominantly at a transcriptional level, whereas post-transcriptional modes of regulation appear to be crucial for resolution of inflammation. The RNA-binding protein tristetraprolin (TTP) interacts with AU-rich elements in the 3′ untranslated region of mRNAs, recruits deadenylase complexes and thereby facilitates degradation of its targets. As TTP regulates the mRNA stability of numerous inflammatory mediators, it was put forward as a crucial post-transcriptional regulator of inflammation. Here, we summarize the current understanding of the function of TTP with a specific focus on its role in adding to resolution of inflammation.
During the first two days of August 2016 a seismic crisis occurred on Brava, Cabo Verde, which – according to observations based on a local seismic network – was characterized by more than a thousand volcano-seismic signals. Brava is considered an active volcanic island, although it has not experienced any historic eruptions. Seismicity significantly exceeded the usual level during the crisis. We report on results based on data from a temporary seismic-array deployment on the neighbouring island of Fogo at a distance of about 35 km. The array was in operation from October 2015 to December 2016 and recorded a total of 1343 earthquakes in the region of Fogo and Brava; 355 thereof were localized. On 1 and 2 August we observed 54 earthquakes, 25 of which could be located beneath Brava. We further evaluate the observations with regards to possible precursors to the crisis and its continuation. Our analysis shows a significant variation in seismicity around Brava, but no distinct precursory pattern. However, the observations suggest that similar earthquake swarms commonly occur close to Brava. The results further confirm the advantages of seismic arrays as tools for the remote monitoring of regions with limited station coverage or access.
Protein ubiquitination is a post-translational modification that typically involves the conjugation of ubiquitin to substrate proteins via a three-enzyme cascade and regulates a wide variety of cellular processes. Recent studies have revealed that SidE family of Legionella effectors such as SdeA catalyzes novel phosphoribosyl-linked ubiquitination (PR-ubiquitination) of serines in host substrate proteins utilizing NAD+, without the need of E2, E3. The catalytic core of SdeA comprises a mono-ADP-ribosyltransferase (mART) domain that functions to ADP-ribosylate ubiquitin, and a phosphodiesterase (PDE) domain that processes ADP-ribosylated ubiquitin and transfers the resulting phosphoribosylated ubiquitin to serines of substrates.
To date, extensive efforts have been made to study the function of SdeA and mechanism of SdeA mediated PR-ubiquitination, however, the cellular effects of this novel ubiquitination and phosphoribosylation of ubiquitin remained poorly understood. In our study, using biochemical and cell biological approaches, we explored the biological effect of phosphoribosylation of ubiquitin caused by SdeA in cells. We found that phosphoribosylated ubiquitin is not available for conventional ubiquitination, thereby phosphoribosylation of ubiquitin impairs numerous classical ubiquitination related cellular processes including mitophagy, TNF-α signaling and proteasomal degradation.
The precise temporal regulation of the functions of bacterial effectors during Legionella infection by other effectors with antagonizing activities has been well studied so far. Not surprisingly, PR-ubiquitination catalyzed by SidE family effecters is tightly controlled as well, it has been long known that effector SidJ counteracts the toxicity of SdeA to yeast cells. Interestingly, in an experiment for verifying the activity of SidJ, we found that Legionella lysate lacking SidJ was still able to remove ubiquitin from PR-ubiquitinated substrates. Using biochemical approach we identified DupA and DupB, two Legionella bacterial effectors that specifically reverse the novel serine PR-ubiquitination catalyzed by SdeA. We found that DupA and DupB possess a highly homologous PDE domain that removes ubiquitin from PR-ubiquitinated substrates by cleaving the phosphodiester bond between the phosphoribosylated-ubiquitin and serines of substrates. Catalytically deficient mutant DupA H67A strongly binds to PR-ubiquitinated proteins but not capable of cleaving PR-ubiquitin, using it as a trapping bait we identified over 180 substrates of PR-ubiquitination, including a number of ER and Golgi proteins.
In particular, we found that exogenously expressed SdeA localizes to the Golgi apparatus via its C-terminal region and disrupts the Golgi. We validated the identified potential substrates of SidE effectors and found that SdeA modifies Golgi tethering proteins GRASP55 and GRASP65. Using mass spectrometry analyses we identified four serine targets (S3, S408, S409, S449) of GRASP55 PR-ubiquitinated by SdeA in vitro. Ubiquitination of GRASP55 serine mutant in cells co-expressing SdeA or infected with Legionella was markedly decreased, compared with that of the wild-type GRASP55. In addition, with co-immunoprecipitation analyses we found that SdeA-catalyzed ubiquitination regulates the function of GRASP55. PR-ubiquitinated GRASP55 exhibited reduced self-interaction compared to unmodified GRASP55, expression of GRASP55 serine mutant in cells in part rescued Golgi damage caused by SdeA. Furthermore, our study reveals that Golgi structure disruption caused by SdeA does not result in the recruitment of Golgi membranes to the Legionella-containing vacuoles. Instead, it affects cellular secretory pathway including cytokine secretion in cells.
Taken all together, this work expands the understanding of this unconventional PR-ubiquitination catalyzed by Legionella effectors and sheds light on the functions of PR-ubiquitination by which Legionella regulates the Golgi function and secretion pathway during bacterial infection.
Rodrigues Ridge connects the Réunion hotspot track with the Central Indian Ridge (CIR) and has been suggested to represent the surface expression of a sub-lithospheric flow channel. From global earthquake catalogues, the seismicity in the region has been associated mainly with events related to the fracture zones at the CIR. However, some segments of the CIR appear void of seismic events. Here, we report on the seismicity recorded at a temporary array of 10 seismic stations operating on Rodrigues Island from September 2014 to June 2016. The array analysis was performed in the time domain by time shifting and stacking the complete waveforms. Event distances were estimated based on a 1-D velocity model and the travel time differences between S and P wave arrivals. We detected and located 63 new events that were not reported by the global networks. Most of the events (51) are located off the CIR and can be classified as intraplate earthquakes. Local magnitudes varied between 1.6 and 3.7. Four seismic clusters were observed that occurred to the west of the spreading segment of the CIR. The Rodrigues Ridge appeared to be aseismic during the period of operation. The lack of seismic activity along both Rodrigues Ridge and the sections of the CIR to the east of Rodrigues may be explained by partially molten upper-mantle material, possibly in relation to the proposed material flow between the Réunion plume and the CIR.
Ziel der Studie: Eine psychische Komorbidität spielt im Kontext mit weiteren persönlichen, sozialen und beruflichen Faktoren bei der Ermittlung des spezifischen Rehabilitationsbedarfs der Patienten in Deutschland eine immer bedeutendere Rolle. Um die Zuweisung von Patienten zu einer Rehabilitationsform besser ausdifferenzieren zu können, soll im Rahmen dieser retrospektiven Analyse ermittelt werden, von welchem der beiden untersuchten Rehabilitationskonzepte (OR/VMO) Patienten mit psychischer Komorbidität unter Berücksichtigung von Geschlecht, Erwerbsstatus und orthopädischer Hauptdiagnose stärker profitieren.
Methodik: Mittels der Screening-Fragebögen HADS-A, HADS-D, SIMBO und BPI sowie eines Klinikfragebogens zu Beginn der Rehabilitation wurden Angaben von 913 Probanden (529 m/384 w) ausgewertet. Hiervon wurden 43 % der OR und 57 % der VMO zugewiesen. So wurde die Häufigkeitsverteilung der Faktoren psychische Komorbidität, Geschlecht, Erwerbsstatus und orthopädische Hauptdiagnose festgestellt. Mittels HADS wurde am Ende der Therapie der Benefit durch Vergleich der Scorewert-Mediane ermittelt.
Ergebnisse: Häufigkeitsverteilungen und die Entwicklung der HADS-Scores zeigen, dass die im Vorfeld erfolgte Einteilung gemäß psychischer Komorbidität korrekt war. Frauen waren häufiger von einer psychischen Komorbidität betroffen und erzielten in der VMO größere Erfolge. Bezüglich der orthopädischen Hauptdiagnose ergab sich eine hohe Prävalenz von HWS- und LWS-Beschwerden. Beim Erwerbsstatus (Arbeits(un)fähigkeit, Arbeitslosigkeit, berufliche Problemlage) zeigte sich ein diffuseres Bild, das keine generalisierende Aussage bezüglich der arbeitsweltbezogenen Faktoren zulässt.
Schlussfolgerungen: Das Vorliegen einer psychischen Komorbidität stellt einen zielführenden Indikator dar, der als eines der Hauptzuweisungskriterien zur VMO beizubehalten ist. Auch das weibliche Geschlecht in Verbindung mit dem Vorliegen einer psychischen Komorbidität ist als adäquates Kriterium anzusehen. Bezüglich der orthopädischen Hauptdiagnose können insbesondere HWS-Beschwerden als Zuweisungskriterium geeignet sein. Aufgrund der sehr heterogenen Ergebnisse hinsichtlich der Aspekte des Erwerbsstatus lässt sich festhalten, dass diesbezüglich eine Zuweisung zu einem arbeitsweltbezogenen Therapiekonzept (z. B. MBOR) zielführender erscheint.
The aim of this work was to establish a new way of predicting novel dual active compounds by combining classical fingerprint representation with state-of-the-art machine learning algorithms. Advantages and disadvantages of the applied 2D- and 3D-fingerprints were investigated. Further, the impact of various machine learning algorithms was analyzed. The new method developed in this work was used to predict compounds, which inhibit two different targets (LTA4H and sEH) involved in the same disease pattern (inflammation). The development of multitarget drugs has become more important in recent years. Many widespread diseases like metabolic syndrome, or cancer are of a multifactorial nature, which makes them hard to be treated effectively with a single drug. The new in silico method presented in this work can help to accelerate the design and development of multitarget drugs, saving time and efforts.
The nowadays readily available access to a large number of 3D-structures of biological targets and published activity data of millions of synthesized compounds enabled this study and was used as a starting point for this work. Four different data sets were compiled (crystalized ligands from the PDB, active and inactive compounds from ChEMBL23, newly designed compounds using a combinatorial library). Those data sets were collected and processed using an automated KNIME workflow. This automation has the advantage of allowing easy change and update of compound sources and adapted processing ways.
In a next step, the compounds from the compiled data sets were represented using a variety of well-established 2D- and 3D-fingerprints (PLIF, AtomPair, Morgan, FeatMorgan, MACCS). All those fingerprints share the same underlying bit string scheme but vary in the way they describe the molecular structure. Especially the difference between 2D- and 3D-fingerprints was investigated. 2D-fingerprints are solely based on ligand information. 3D-fingerprints, on the other hand, are based on X-ray structure information of protein-ligand complexes. One major difference between 2D- and 3D-fingerprints usage is the need for a 3D-conformation (pose) of the compound in the targets of interest when using 3D-fingerprints. This additional step is time-consuming and brings further uncertainties to the method.
Based on the calculated fingerprints state-of-the-art machine learning algorithms (SVC, RF, XGB and ADA) were used to predict novel dual active compounds. The models were evaluated by 10-fold cross validation and accuracy as the primary measure of model performance was maximized. Second, individual parameters of the four machine learning algorithms were optimized in a grid search to achieve maximal accuracy using the optimized partitioning scheme. Overall accuracies, regardless of fingerprint and machine learning algorithm, are slightly better for LTA4H than for sEH.
The goal to predict dual active compounds was realized by comparing the set of predicted to be active compounds for LTA4H and sEH. For the 3D-fingerprint PLIF the machine learning algorithm Random Forest was chosen, from which compounds for synthesis and testing were selected. Of 115 predicted to be active compounds, six compounds were cherry picked. Two compounds showed very good/moderate dual inhibitory activity. Of the 2D-fingerprints, the AtomPair fingerprint in combination with the machine learning algorithm Random Forest was chosen from which compounds were selected for synthesis and testing. 116 compounds were predicted to be dual active against LTA4H and sEH. One of those compounds showed good dual inhibitory activity.
In this work it was possible to show advantages and disadvantages of using 2D- and 3D-fingerprints in combination with machine learning algorithms. Both strategies (2D: ligand-based, 3D: structure-based) lead to the prediction of novel dual active compounds with moderate to very good inhibitory activity. The method developed in this work is able to predict dual active compounds with very good inhibitory activity and novel (previously unknown) scaffolds inhibiting the targets LTA4H and sEH. This contribution to in silico drug design is promising and can be used for the prediction of novel dual active compounds. Those compounds can further be optimized regarding binding affinity, solubility and further pharmacological and physicochemical properties.
Empathie ist ein mehrdimensionales psychologisches Konstrukt, das aus verschiedenen Facetten besteht (Decety & Ickes, 2011). Es ist anzunehmen, dass Empathie ein wichtiger Mechanismus ist, um Menschen miteinander zu verbinden und eine Gruppenkohäsion möglich zu machen (Rameson & Lieberman, 2009). Neben der Fähigkeit die Erlebenswelt des Gegenübers mit eigenen mentalen Repräsentationen nachzuvollziehen, werden dadurch Emotionen ausgelöst, die denen des Gegenübers sehr ähnlich sind. Gleichzeitig unterscheidet sich dieses Gefühlserleben aber beispielsweise von reiner Gefühlsansteckung, da eine Selbst-Andere Differenzierung stattfindet und in einer empathischen Episode immer im Vordergrund steht, dass man sich aufgrund der Gefühle des anderen so fühlt (Altmann, 2015). Hier spielt Imitation eine wichtige Rolle, wenn es darum geht, die Erlebenswelt der anderen Person zu erfassen (Meltzoff & Decety, 2003). Besonders auch bei Lehrkräften zeigt sich eine Wichtigkeit von empathischem Handeln und Verstehen (Tausch & Tausch, 2008). In verschiedenen Studien zeigten sich positive Effekte von Empathie auf die Schülerschaft und die Unterrichtsqualität. Die SchülerInnen trauen sich mehr, es herrscht weniger Angst im Klassenzimmer und die Qualität der Unterrichtsbeiträge steigt (vgl. Tausch & Tausch, 1998). Empathie selbst besteht aus State- und Trait-Anteilen, so dass zumindest Teile davon trainierbar sind (Butters, 2010). Eine potentielle Möglichkeit um Empathie zu fördern scheint das Lehr-Lern-Format Service Learning (SL) darzustellen. Hierbei handelt es sich um ein Veranstaltungskonzept, bei dem ein meist fachlicher, akademischer Inhalt mit einem ehrenamtlichen Engagement außerhalb der Universität verknüpft wird (Reinders, 2016). Forschung aus dem angloamerikanischen Raum weist darauf hin, dass Empathie durch derartige Formate gefördert werden kann (Lundy, 2007; Wilson, 2011). Da die meisten Messverfahren von Empathie auf Selbstauskunft basieren und damit nur indirekt Anteile wie das affektive Mitschwingen abbilden können, war es Teil dieser Arbeit im ersten Schritt einen objektiven, videobasierten Test zu entwickeln, der dann mit anderen Verfahren zur Messung eingesetzt werden sollte. In zwei ExpertInnen-Befragungen wurden aus einem Pool von Videosequenzen mit Unterrichtssituationen insgesamt zehn Videoclips mit jeweils vier Items und zugehörigen Antwortoptionen extrahiert. In einer darauf folgenden Validierung mit Studierenden der Goethe-Universität (N = 112) wurden diese Vignetten mit verschiedenen Verfahren zur Messung von Empathie gemeinsam erhoben und die Zusammenhänge analysiert. Die Reliabilitäten der drei Testscores bewegten sich in den beiden gebildeten Testversionen zwischen Cronbachs α = .53 (Verhaltens-Score der Testversion 1) und α = .76 (Intensitäts-Score der Testversion 2). Es zeigten sich zu allen Fragebögen erwartungskonforme Zusammenhänge von kleinen bis mittleren Effekten. Die Itemschwierigkeiten bei den meisten Items lagen zwischen 50 und 65, die Trennschärfen zwischen .18 und .70.
Im nächsten Entwicklungsschritt wurden die Vignetten in neu zusammengestellten Testversionen nur Lehramtsstudierenden (N = 41) vorgelegt und zusätzlich Videoaufnahmen der Gesichter der ProbandInnen gemacht, um sie mit Face-Reader zu analysieren und die Facette Mitschwingen abzubilden. Die Reliabilitäten der Testversionen lagen mit einem neuen Scoring nun zwischen α = .24 (Emotionserkennungs-Score Prä-Testversion) und
α = .57 (Intensitäts-Score Prä-Testversion) sowie zwischen α = .10 (Emotionserkennungs-Score Post-Testversion) und α = .77 (Intensitäts-Score Post-Testversion). Auch die Schwierigkeiten und Trennschärfen änderten sich nach Adaptieren des Scorings und bewegten sich in beiden Testversionen nun von 30 bis 89 (Schwierigkeit) und von .0 bis .5 (Trennschärfe). Die Face-Reader Analysen zeigten nur in Teilen kongruente Emotionen mit den Selbstauskunftsdaten bzw. den eingeschätzten Intensitäten in den Videosequenzen, dann allerdings mittlere bis große Effekte, so dass in Teilen von einem affektiven Mitschwingen ausgegangen werden kann. Da sich die internen Konsistenzen im Vergleich zur Validierung verschlechterten, wurden die Zusammensetzungen der Testversionen für den Praxiseinsatz wieder auf die Validierungs-Versionen umgestellt.
Im Praxiseinsatz wurden Lehramtsstudierende in SL und Non-SL-Veranstaltungen rekrutiert und miteinander verglichen. Insgesamt nahmen N = 68 Personen an drei Messzeitpunkten teil (n = 30 in SL und n = 38 in Non-SL-Seminaren). Die Analysen zeigten, dass es zwischen den Gruppen keine signifikanten Unterschiede in den genutzten Instrumenten gab. Auch über die Zeit gab es nach der Bonferroni-Korrektur nur einen signifikanten Effekt (F (2,52) = 6.57, p = .003, η2 = .20). Es ist anzunehmen, dass diese Ergebnisse vor allem auf methodische Einschränkungen und Verbesserungsmöglichkeiten des entwickelten Testverfahrens zurückzuführen sind. Weitere Möglichkeiten werden diskutiert.
The authors embed human capital-based endogenous growth into a New-Keynesian model with search and matching frictions in the labor market and skill obsolescence from long-term unemployment. The model can account for key features of the Great Recession: a decline in productivity growth, the relative stability of inflation despite a pronounced fall in output (the "missing disinflation puzzle"), and a permanent gap between output and the pre-crisis trend output.
In the model, lower aggregate demand raises unemployment and the training costs associated with skill obsolescence. Lower employment hinders learning-by-doing, which slows down human capital accumulation, feeding back into even fewer vacancies than justified by the demand shock alone. These feedback channels mitigate the disinflationary effect of the demand shock while amplifying its contractionary effect on output. The temporary growth slowdown translates into output hysteresis (permanently lower output and labor productivity).
Occasionally binding constraints have become an important part of economic modelling, especially since western central banks see themselves (again) constraint by the so-called zero lower bound (ZLB) of the nominal interest rate. A binding ZLB constraint poses a major problem for a quantitative-structural analysis: Linear solution methods do no work in the presence of a non-linearity such as the ZLB and existing alternatives tend to be computationally demanding. The urge to study macroeconomic questions related to the Great Recession and the Covid-19 crisis in a quantitative-structural framework requires algorithms that are not only accurate, but that are also robust, fast, and computationally efficient.
A particularly important application where efficient and fast methods for occasionally binding constraints (OBCs) are needed is the Bayesian estimation of macroeconomic models. This paper shows that a linear dynamic rational expectations system with OBCs, depending on the expected duration of the constraint, can be represented in closed form. Combined with a set of simple equilibrium conditions, this can be exploited to avoid matrix inversions and simulations at runtime for signifcant gains in computational speed.
Central banks sometimes evaluate their own policies. To assess the inherent conflict of interest, the authors compare the research findings of central bank researchers and academic economists regarding the macroeconomic effects of quantitative easing (QE). They find that central bank papers report larger effects of QE on output and inflation. Central bankers are also more likely to report significant effects of QE on output and to use more positive language in the abstract. Central bankers who report larger QE effects on output experience more favorable career outcomes. A survey of central banks reveals substantial involvement of bank management in research production.
Empirical estimates of equilibrium real interest rates are so far mostly limited to advanced economies, since no statistical procedure suitable for a large set of countries is available. This is surprising, as equilibrium rates have strong policy implications in emerging markets and developing economies as well; current estimates of the global equilibrium rate rely on only a few countries; and estimates for a more diverse set of countries can improve understanding of the drivers. The authors propose a model and estimation strategy that decompose ex ante real interest rates into a permanent and transitory component even with short samples and high volatility. This is done with an unobserved component local level stochastic volatility model, which is used to estimate equilibrium rates for 50 countries with Bayesian methods.
Equilibrium rates were lower in emerging markets and developing economies than in advanced economies in the 1980s, similar in the 1990s, and have been higher since 2000. In line with economic integration and rising global capital markets, synchronization has been rising over time and is higher among advanced economies. Equilibrium rates of countries with stronger trade linkages and similar demographic and economic trends are more synchronized.
With the second wave of the Covid-19 pandemic in full swing, banks face a challenging environment. They will need to address disappointing results and adverse balance sheet restatements, the intensity of which depends on the evolution of the euro area economies. At the same time, vulnerable banks reinforce real economy deficiencies. The contribution of this paper is to provide a comparative assessment of the various policy responses to address a looming banking crisis. Such a crisis will fully materialize when non-performing assets drag down banks simultaneously, raising the specter of a full-blown systemic crisis. The policy responses available range from forbearance, recapitalization (with public or private resources), asset separation (bad banks, at national or EU level), to debt conversion schemes. We evaluate these responses according to a set of five criteria that define the efficacy of each. These responses are not mutually exclusive, in practice, as they have never been. They may also go hand in hand with other restructuring initiatives, including potential consolidation in the banking sector. Although we do not make a specific recommendation, we provide a framework for policymakers to guide them in their decision making.
Following the financial crash and the subsequent recession, European policymakers have undertaken major reforms regarding the European Economic and Monetary Union (EMU). Yet, the success rate is mixed. Several reform proposals have either completely failed due to opposition forces or are still pending, sometimes for years. This article provides an overview of reforms in four major policy fields: financial stabilisation, economic governance, fiscal solidarity, and cooperative dissolution. Building on the conceptual foundation of policy analysis, it distinguishes between policy outputs and outcomes. Policy output refers to legislation being adopted or agreement on treaty changes, while policy outcomes depict the result from the implementation process.
This policy white paper shows, using data on European Commission (EC) lobby meetings, that financial institutions and finance trade associations have substantial access to EC policymakers. While lobbying could transfer policy-relevant information and expertise to policymakers, it could also result in the capture of policymakers by the industry, which could harm consumers and taxpayers. How could policymakers prevent regulatory capture, but retain the benefits of the sector expertise in policy decisions? Awareness of regulatory capture by policymakers is one of the most important remedies. This paper provides an overview of the origins of the regulatory capture theory and recent academic evidence. The paper shows that regulatory capture could emerge in a variety of institutions and policy areas but is not ubiquitous and depends on the incentives of policymakers and the policy environment. Subsequently, the paper discusses various measures to prevent regulatory capture, such as more transparency, diverse expert groups, and cooling-off periods.
The genetic background of pain is becoming increasingly well understood, which opens up possibilities for predicting the individual risk of persistent pain and the use of tailored therapies adapted to the variant pattern of the patient’s pain-relevant genes. The individual variant pattern of pain-relevant genes is accessible via next-generation sequencing, although the analysis of all “pain genes” would be expensive. Here, we report on the development of a cost-effective next generation sequencing-based pain-genotyping assay comprising the development of a customized AmpliSeq™ panel and bioinformatics approaches that condensate the genetic information of pain by identifying the most representative genes. The panel includes 29 key genes that have been shown to cover 70% of the biological functions exerted by a list of 540 so-called “pain genes” derived from transgenic mice experiments. These were supplemented by 43 additional genes that had been independently proposed as relevant for persistent pain. The functional genomics covered by the resulting 72 genes is particularly represented by mitogen-activated protein kinase of extracellular signal-regulated kinase and cytokine production and secretion. The present genotyping assay was established in 61 subjects of Caucasian ethnicity and investigates the functional role of the selected genes in the context of the known genetic architecture of pain without seeking functional associations for pain. The assay identified a total of 691 genetic variants, of which many have reports for a clinical relevance for pain or in another context. The assay is applicable for small to large-scale experimental setups at contemporary genotyping costs.
Purpose: Does surgical approach (minimally invasive vs. open) and type (radical vs. partial nephrectomy) affects opioid use and workplace absenteeism.
Materials and Methods: Retrospective multivariable regression analysis of 2,646 opioid-naïve patients between 18 and 64 undergoing radical or partial nephrectomy via either a minimally invasive vs. open approach for kidney cancer in the United States between 2012 and 2017 drawn from the IBM Watson Health Database was performed. Outcomes included: (1) opioid use in opioid-naïve patients as measured by opioid prescriptions in the post-operative setting at early, intermediate and prolonged time periods and (2) workplace absenteeism after surgery.
Results: Patients undergoing minimally invasive surgery had a lower odds of opioid use in the early and intermediate post-operative periods (early: odds ratio [OR], 0.77; 95% confidence interval [CI], 0.62–0.97; p=0.02, intermediate: OR, 0.60; 95% CI, 0.48–0.75; p<0.01), but not in the prolonged setting (prolonged: OR, 1.00; 95% CI, 0.75–1.34; p=0.98) and had earlier return to work (minimally invasive vs. open: −10.53 days; 95% CI, −17.79 to −3.26; p<0.01). Controlling for approach, patient undergoing partial nephrectomy had lower rates of opioid use across all time periods examined and returned to work earlier than patients undergoing radical nephrectomy (partial vs. radical: −14.41 days; 95% CI, −21.22 to −7.60; p<0.01).
Conclusions: Patients undergoing various forms of surgery for kidney cancer had lower rates of peri-operative opioid use, fewer days of workplace absenteeism, but no difference in long-term rates of opioid use in patients undergoing minimally invasive as compared to open surgery.
In den letzen 30 bis 40 Jahren sind Kommunen verstärkt dazu übergegangen die in ihrem Besitz befindlichen Flächen zu verkaufen und so ihre kommunalen Gestaltungsspielräume zu verlieren. Diese Privatisierungspolitik der „unternehmerischen Stadt“ hat verkannt, dass Boden für Kommunen ein endliches und essentielles Gut ist, welches nicht vermehrt werden kann.
Gerade in den lokalen Räumen der Kommunen wird der Kampf um den begrenzten Boden besonders sichtbar. Das Alltagsleben der Menschen wird dadurch bestimmt, ob Boden im Privateigentum ist und vorrangig der Kapitalvermehrung dient oder ob Boden ein gesellschaftliches Gemeingut ist. Die Privatisierung neoliberaler Kommunalpolitik hat – entgegen der Erwartungen – weder das Leben in den Städten besser noch günstiger gemacht. Die Kosten für Mieten und die privatisierten Leistungen aus Daseinsvorsorge sind in den letzten Jahrzehnten extrem gestiegen. Letztere wurden z. T. auch verkleinert oder vollkommen aufgegeben, wie z. B. der öffentliche Nahverkehr in ländlichen Räumen oder die Schließungen von Kultureinrichtungen, Jugendzentren oder Schwimmbädern.
Auf diese Phase neoliberaler Bodenpolitik ist zunehmend eine polanyische Gegenbewegung zu beobachten, die für den sozial-ökologischen Schutz eintritt. Die Menschen in den Kommunen wollen und können diese Entwicklung nicht weiter hinnehmen. Und auch die Lokalpolitik schwenkt z. T. um, indem sie Forderungen der Rekommunaliserung und sozialverträglicher Mieten unterstützt.
Trotz dieser progressiven Entwicklungen ist gerade die Vergabe von Gewerbeflächen nach wie vor durch ein neoliberales Paradigma der Standortkonkurrenz und Austerität geprägt. In diesem Sinne muss die Vergabe von Boden zuallererst ökonomisch sinnvoll sein. Andere Aspekte werden oft ausgeklammert, da sie unter Finanzierungsvorbehalt stehen. Diese Vergabepraxis ist quasi alternativlos und damit postpolitisch. Obwohl diese Entscheidungen die Kommunen langfristig prägen, werden soziale und ökologische Aspekte der ökonomischen Frage untergeordnet. Die Berücksichtigung von Gemeinwohlaspekten, die sich in einem Kriterienkatalog zur Gewerbeflächenvergabe wiederfinden können, bietet Kommunen die Möglichkeit, eine andere – gemeinwohlorientierte – Handlungsrationalität einzunehmen. Die Entscheidungsgrundlage für die Gewerbeflächenvergabe würden mit solchen Kriterien grundlegend neu justiert werden, da sie nicht mehr auf rein ökonomischen, sondern auf sozialen und ökologischen Werten beruht.
Die vorliegende Arbeit beschäftigt sich mit der Frage, wie eine gemeinwohlorientierte Gewerbeflächenvergabe gestaltet werden kann, indem sie die kommunalen Handlungsspielräume erweitert und so einen Beitrag für eine sozial-ökologische Gegenbewegung zur neoliberalen Kommunalpolitik leistet. Sie kommt zu dem Ergebnis, dass für eine kommunale sozial-ökologische Transformation die Wirtschaft wieder stärker in die Gesellschaft eingebettet werden muss (Polanyi 1944). Eine dementsprechende Gewerbeflächenvergabe setzt daher auf die Dekommodifizierung der Flächen, d. h. sie fördert öffentliche und kollektive Eigentumsformen. Außerdem fördert sie kollektive sozial-ökologische Nutzungsformen der Flächen, die dem Gemeinwohl der Bewohner*innen in der Region dienen. Zur Umsetzung könnten Kommunen Gemeinwohl-Kriterien zur Gewerbeflächenvergabe aufstellen. In der vorliegenden Arbeit wird hierzu ein möglicher Kriterienkatalog entwickelt.
Freshwater is one of the most fundamental resources for life and is the habitat for a wide diversity of species. One of the most diverse aquatic insect taxa is Trichoptera Kirby, 1813, caddisflies. These semi-aquatic insects have aquatic larvae and terrestrial adults and are found all around the globe in freshwater habitats. Water is also one of the most important natural resources for the human population, but alarmingly, freshwaters are among the most threatened natural habitats. Thus, the monitoring and preservation of the quality of freshwater habitats should have a high priority. In order to track changes in the biota a baseline reference is necessary, but freshwater biodiversity is under-studied in many parts of the Earth such as the biodiversity hotspots of the Himalaya and the Hengduan Mountains. This thesis treats the trichopteran genus Himalopsyche Banks, 1940 (Rhyacophilidae) which has its diversity center in the Himalayas and the Hengduan Mountains. Himalopsyche larvae are large and conspicuous and only occur in clean, unpolluted streams. This makes Himalopsyche potentially suited as indicator organisms for freshwater quality monitoring, but taxonomic knowledge is yet insufficient. Based on samples from a field survey in the Hengduan Mountains targeting both larvae and adults I uncovered three new Himalopsyche species which are described in this thesis (Chapter II), and with the aid of molecular data I associated larvae of Himalopsyche to adult species (Chapter I). The molecular association enabled the first comparative morphological study of Himalopsyche species in the larval stage, and the morphological study in Chapter II revealed that there are four distinct larval types of Himalopsyche. However, no diagnostic characters to identify Himalopsyche larvae to species level were found. To understand Himalopsyche larval morphology from an evolutionary perspective, I reconstructed the first molecular phylogeny of the genus (Chapter III). This demonstrated that each larval type corresponds to a deep phylogenetic split, indicating that larval types evolved early in Himalopsyche evolution and remained constant since. Based on the phylogenetic results as well as larval and adult morphology, I re-defined five species groups of Himalopsyche: H. kuldschensis Group, H. lepcha Group, H. navasi Group, H. phryganea Group, and H. tibetana Group. The species groups differ with respect to their diversity centers. The monotypic H. lepcha Group resides in the Himalayas, and the monotypic H. phryganea Group inhabits Western Nearctic. The H. kuldschensis and H. tibetana Groups are geographically overlapping with distributions in the Himalayas, but the distribution of H. kuldschensis Group stretches more to the west to include the Tian Shan, and the H. tibetana Group is more concentrated around the eastern Himalayas and the Hengduan Mountains. The H. navasi Group has a more eastern distribution than most Himalopsyche including isolated areas such as Japan and Indonesia. The earliest split in Himalopsyche divides the H. navasi Group from remaining Himalopsyche, suggesting a more eastern area of origin of Himalopsyche than its current diversity center, with subsequent radiations in the Himalayas and Hengduan Mountains. In addition to the three chapters, in this thesis I discuss further aspects of Himalopsyche biology including genital evolution, species complexes, and Himalopsyche ecology.
Lenalidomide (LEN) maintenance (MT) post autologous stem cell transplantation (ASCT) is standard of care in newly diagnosed multiple myeloma (MM) but has not been compared to other agents in clinical trials. We retrospectively compared bortezomib (BTZ; n = 138) or LEN (n = 183) MT from two subsequent GMMG phase III trials. All patients received three cycles of BTZ-based triplet induction and post-ASCT MT. BTZ MT (1.3 mg/m2 i.v.) was administered every 2 weeks for 2 years. LEN MT included two consolidation cycles (25 mg p.o., days 1–21 of 28 day cycles) followed by 10–15 mg/day for 2 years. The BTZ cohort more frequently received tandem ASCT (91% vs. 33%) due to different tandem ASCT strategies. In the LEN and BTZ cohort, 43% and 46% of patients completed 2 years of MT as intended (p = 0.57). Progression-free survival (PFS; HR = 0.83, p = 0.18) and overall survival (OS; HR = 0.70, p = 0.15) did not differ significantly with LEN vs. BTZ MT. Patients with <nCR after first ASCT were assigned tandem ASCT in both trials. In patients with <nCR and tandem ASCT (LEN: n = 54 vs. BTZ: n = 84), LEN MT significantly improved PFS (HR = 0.61, p = 0.04) but not OS (HR = 0.46, p = 0.09). In conclusion, the significant PFS benefit after eliminating the impact of different tandem ASCT rates supports the current standard of LEN MT after ASCT.
Xenorhabdus and Photorhabdus are bacterial genera that live in symbiosis with entomopathogenic nematodes of the genera Steinernema and Heterorhabditis, respectively. These nematodes infect insect larvae through the trachea and then enter the hemocoel. Once inside the hemocoel, the nematodes release the bacteria through their intestine. Thereafter, the bacteria become active and kill the larvae within 48 h. During this process, the immune system of the insect host is compromised by molecules produced and secreted by the bacteria. This illustrates that the bacteria possess not only a large arsenal of biological weaponry such as antibiotics and fungicides but also lipases, proteases, etc. Therefore, they are not only able to kill the insect but also protect the cadaver from other food competitors.
During the past decades, a large number of natural products have been identified from Xenorhabdus and Photorhabdus. However, the targets and functions for many of these biological molecules are still unknown. Therefore, the goal of the doctoral thesis is to elucidate the modes of action of these natural products from Xenorhabdus and Photorhabdus with the main focus on non-ribosomal peptides (NRPs). The work can be divided into two parts. Initially, it starts with the synthesis of natural compounds and various chemically modified derivatives. Besides that, a number of peptides were synthesized for other projects to either verify their structures or quantify the amount produced by the bacteria. Then, secondary analysis methods are applied and provide additional insight into the modes of action of these compounds.
During the thesis, I carried out peptide synthesis either manually or with an automatic synthesizer system from Biotage. Here, the Fmoc-protecting group strategy was preferred in most cases. Natural products, such as silathride, xenoautoxin, phenylethylamide, tryptamide, rhabdopeptide, 3-hydroxyoctanoic acid, and PAX, were produced during this process. Furthermore, new peptide derivatives derived from synthetic NRPS approaches using the XU concept or SYNZIP were generated as standards.
Most of these natural compounds were experimentally verified by MIC tests (broth microdilution, plate diffusion) to be biologically active. For example, silathride, phenylethylamide, and tryptamide showed quorum quenching effects when tested against Chromobacterium violaceum. Initial results from collaborators (PD Dr. Nadja Hellmann/Mainz) showed that tryptamide and phenylethylamide interact with membrane or membrane proteins.
(R)-3-hydroxyoctanoic acid was synthesized to verify the molecule structure of phototemtide A, a cyclic lipopeptide with antiprotozoal activity. The rhabdopeptides are another class, which showed remarkable antiprotozoal effects. However, their mode of action was unknown. These compounds are relatively short peptide sequences, which contain hydrophobic residues, such as valine, leucine, or phenylalanine. Moreover, they possess N methylation, resulting in a rod-shaped highly hydrophobic structure. In this work, I synthesized eight new derivatives of rhabdopeptides for photo-affinity labeling (PAL). These molecules should react covalently under UV-light irradiation with the biological target of the peptides. In addition, these derivatives can be enriched in a pull-down assay using click chemistry. Afterward, analytic methods such as mass detection (proteome analysis) can be applied to elucidate the protein targets.
The PAX peptides derivatives are well-known to have anti-microbial activities and believed to be secreted into the environment by the producing bacteria. However, I found that the majority of these peptides are located in the cell pellet fraction and not in the supernatant. This has been shown through quantification using HPLC MS. New PAX derivatives were synthesized, which carry a moiety suitable for covalent modification using click-chemistry, therefore being functionalizable with a fluorescence dye. In collaboration with Dr. Christoph Spahn (Prof. Dr. Mike Heilemann group), we used confocal, as well as super-resolution microscopy, in particular, single-molecule localization microscopy (SMLM) to investigate the spatial distribution of clickable PAX molecules and revealed that they localize at the bacterial membrane. Furthermore, bioactivity assays revealed that the promotor exchanged X. doucetiae PAX mutants, which do not produce PAX molecules without chemical induction (hereby termed as pax-), were more susceptible to several insect AMPs tested. Based on these findings, a new dual mechanism of action for PAX was proposed. Besides the previously shown antimicrobial activity, these molecules with a positive net charge of +5 (pH = 7) would bind to the negatively charged bacterial surface. Hereby, the surface charge (typically negative) would be inversed resulting in a protective effect for Xenorhabdus against other positively charged AMPs. Furthermore, PAX was investigated as AMP against E. coli to study its antimicrobial mechanism of action. Here, the results show that PAX can disrupt the E. coli membrane at higher concentrations (> 30 µg/ml), enter the cytosol, and lead to reorganization of subcellular structures, such as the nucleoid during this process.
Another aspect of secondary analysis is the application of proteomic analysis. Therefore, I induced X. nematophila, X. szentirmaii, and P. luminescens with insect lysate. These samples were analyzed using HPLC-MS/MS (Q Exactive) together with a database approach (Maxquant/Andromeda). The results showed that in all strains the lipid degradation and the glyoxylate pathway were induced. This is in line with the given insect lysate diet, which mostly contained lipids. Moreover, several interesting unknown peptides and proteins were also upregulated and might get into the focus of future research.
H/ACA-RNPs are involved in RNA guided pseudouridylation of rRNAs and snRNAs. In this thesis I reconstituted active and labeled archaeal as well as eukaryotic H/ACA-RNPs and studied the structural dynamics of complex assembly and pseudouridine formation. Single molecule FRET spectroscopy was used as method of analysis to study structure, assembly and dynamics of these important complexes.
The genus Giraffa likely evolved around seven million years ago in Indo-Asia and spread over the Arabian-African land bridge into Eastern Africa. The oldest fossil of the African lineage was found in Kenya and dated to 7-5.4 Mya. Beside modern giraffe, four additional African species have likely existed (G. gracilis, G. pygmaea, G. stillei, and G. jumae). Based on their morphological similarities, G. gracilis is often considered to be the closest relative of the modern giraffe. Nevertheless, the phylogeny within the genus Giraffa is largely unresolved.
Modern giraffe (Giraffa sp.) have been neglected by the scientific community for a long time and still very little is known about their biology. Traditionally, present-day giraffe have been considered a single species (G. camelopardalis) which is divided into six to eleven subspecies, with nine subspecies being the most accepted classification. This classification was based on morphological differences and geographic ranges. However, recent genetic analyses found hidden diversity within Giraffa and proposed four genetically distinct giraffe species (G. camelopardalis, G. reticulata, G. tippelskirchi, G. giraffa) with presumably little gene flow among them.
Gene flow on a population level is the exchange of genetic information among populations facilitated by the migration of individuals between populations. Additionally, it is an important criterion to delineate species, because many species concepts, especially the Biological Species Concept, rely on the concept of reproductive isolation. Yet, new genetic methods are identifying an increasing number of species that show signs of introgressive hybridization or gene flow among them. Therefore, strict reproductive isolation cannot always be applied to delineate species, especially in young, probably still diverging, species such as giraffe.
Therefore, giraffe are ideal study organisms to investigate the level of gene flow in recently diverged species with adjacent or potentially overlapping ranges. Furthermore, their recent classification as “Vulnerable” by the IUCN and their unreliable distribution maps require the genetic evaluation of their population structure, distribution and conservation status.
In Publication 1 (Winter et al. (2018a), Ecological Genetics and Genomics, 7–8, 1–5), I studied the distribution and matrilineal population structure of Angolan giraffe (G. giraffa angolensis) using sequences from the cytochrome b gene (1,140 bp) and the mitochondrial control region for individuals from across their known range and beyond, and additionally including individuals from all known giraffe species and subspecies. The reconstruction of a phylogenetic tree and a mitochondrial haplotype network allowed to identify the most easterly known natural population of Angolan giraffe, a population that was previously assigned to their sister-subspecies South African giraffe (G. giraffa giraffa), indicating the limit of classification by morphology and geography. Furthermore, the analyses show that Namibia’s iconic desert-dwelling giraffe population is genetically distinct, even from the nearest population at Etosha National Park, suggesting very limited, if any, natural exchange of matrilines. Yet, no geographic barriers are known for this region that would prevent genetic exchange. Therefore, the two populations are likely on different evolutionary trajectories. Limited individuals with an Etosha haplotype further suggest that translocation of Etosha giraffe into the desert population had only a minor impact on the local population. Two separate haplogroups within Etosha National Park suggest an “out of Etosha” radiation of Angolan giraffe to the East followed by a later back-migration.
In Publication 2 (Winter et al. (2018b), Ecology and Evolution, 8(20), 10156–10165), I investigated the genetic population structure of giraffe across their range (n = 137) with focus on the amount of gene flow among the proposed giraffe species with a 3-fold increased set of nuclear introns (n = 21). Limited gene flow of less than one effective migrant per generation, even between the closely related northern (G. camelopardalis) and reticulated giraffe (G. reticulata) further supports the existence of four giraffe species by a different methodology, gene flow. This is significant because most species concepts build on reproductive isolation. Furthermore, this result is corroborated by four distinct major clades in a phylogenetic tree analysis, and distinct clusters in Principal Component Analysis and STRUCTURE analysis. All these analyses suggest a low level of genetic exchange among the four giraffe species and, therefore, a high degree of reproductive isolation in accordance with the Biological Species Concept (BSC). In Addition, only a single individual in 137 was identified as being potential of natural hybrid origin, which promotes the four-species concept further. ...
The working paper reflects on the status that "sciences" have held at different points in time, and on the normative orders found in scientific works, as well as on the normative orders imposed by the sciences of a particular place and time on their environment. The latter is also suggested by recent developments concerning the influence (or lack thereof) of scientists on daily life and politics. The paper touches on several fundamental issues in the history of science as a discipline that have been or are still being intensely debated.
The Mediterranean realm, comprising the Mediterranean and Macaronesian regions, has long been recognized as one of the world’s biodiversity hotspots, owing to its remarkable species richness and endemism. Several hypotheses on biotic and abiotic drivers of species diversification in the region have been often proposed but rarely tested in an explicit phylogenetic framework. Here, we investigate the impact of both species-intrinsic and -extrinsic factors on diversification in the species-rich, cosmopolitan Limonium, an angiosperm genus with center of diversity in the Mediterranean. First, we infer and time-calibrate the largest Limonium phylogeny to date. We then estimate ancestral ranges and diversification dynamics at both global and regional scales. At the global scale, we test whether the identified shifts in diversification rates are linked to specific geological and/or climatic events in the Mediterranean area and/or asexual reproduction (apomixis). Our results support a late Paleogene origin in the proto-Mediterranean area for Limonium, followed by extensive in situ diversification in the Mediterranean region during the late Miocene, Pliocene, and Pleistocene. We found significant increases of diversification rates in the “Mediterranean lineage” associated with the Messinian Salinity Crisis, onset of Mediterranean climate, Plio-Pleistocene sea-level fluctuations, and apomixis. Additionally, the Euro-Mediterranean area acted as the major source of species dispersals to the surrounding areas. At the regional scale, we infer the biogeographic origins of insular endemics in the oceanic archipelagos of Macaronesia, and test whether woodiness in the Canarian Nobiles clade is a derived trait linked to insular life and a biotic driver of diversification. We find that Limonium species diversity on the Canary Islands and Cape Verde archipelagos is the product of multiple colonization events followed by in situ diversification, and that woodiness of the Canarian endemics is indeed a derived trait but is not associated with a significant shift to higher diversification rates. Our study expands knowledge on how the interaction between abiotic and biotic drivers shape the uneven distribution of species diversity across taxonomic and geographical scales.
To support future research based on natural sciences collection data, DiSSCo (Distributed System of Scientific Collections) – the European Research Infrastructure for Natural Science Collections – adopts Digital Object Architecture as the basis for its planned data infrastructure. Using the outputs of one Research Data Alliance (RDA) interest group (IG) and five working groups (WGs) we show how RDA recommendations and supporting documents have been applied to the various stages of the DiSSCo data lifecycle.
Chronic myeloid leukemia (CML) has been a “model disease” with a long history. Beginning with the first discovery of leukemia and the description of the Philadelphia Chromosome and ending with the current goal of achieving treatment-free remission after targeted therapies, we describe here the journey of CML, focusing on molecular pathways relating to signaling, metabolism and the bone marrow microenvironment. We highlight current strategies for combination therapies aimed at eradicating the CML stem cell; hopefully the final destination of this long voyage.
Long non-coding RNA aerrie controls DNA damage repair via YBX1 to maintain endothelial cell function
(2021)
Aging is accompanied by many physiological changes. These changes can progressively lead to many types of cardiovascular diseases. During this process blood vessels lose their ability to maintain vascular homeostasis, ultimately resulting in hypertension, stroke, or myocardial infarction. Increase in DNA damage is one of the hallmarks of aging and can be repaired by the DNA signaling and repair system. In our study we show that long non-coding RNA Aerrie (linc01013) contributes to the DNA signaling and repair mechanism. Silencing of Aerrie in endothelial cells impairs angiogenesis, migration, and barrier function. Aerrie associates with YBX1 and together they act as important factors in DNA damage signaling and repair. This study identifies Aerrie as a novel factor in genomic stability and as a binding partner of YBX1 in responding to DNA damage.
Am Beispiel des politisch-planerischen Diskurses zu ehemaligen Planungen für ein großflächiges Einkaufszentrum in der Mainzer Innenstadt wird der potenzielle Mehrwert diskurs- und gouvernementalitätstheoretischer Zugänge zu raumbezogenen Fragestellungen erörtert. Insbesondere werden die diskursiven Mechanismen der Einschreibung einer unternehmerischen und depolitisierten Konzeption urbaner Räume in scheinbar neutrale und objektive Techniken raumbezogener Wirkungsanalysen herausgearbeitet. Die damit verbundene Sichtweise auf städtische Räume als Wettbewerbseinheiten, die durch raumwirtschaftliche Gesetzmäßigkeiten determiniert sind, wird jedoch gleichzeitig durch Gegendiskurse aufgebrochen, die das Bewahren ortsspezifisch gewachsener baulicher Strukturen zum Maßstab von Stadtentwicklungspolitik machen. Die Fallstudie verdeutlicht damit, wie mithilfe diskursanalytischer Zugänge die raumbezogenen Wissensordnungen freigelegt werden können, die die politischplanerische Steuerung gegenwärtiger Stadtentwicklungsprozesse anleiten.
This article provides a comprehensive overview of the contribution of linguistic research on Portuguese as a heritage language in Germany to the general understanding of heritage language development. From 1955 to 1973, nearly 166,000 Portuguese migrants found work in Germany as so-called ‘guest workers’ (Gastarbeiter). Because the aim of many Portuguese migrant families was to return to Portugal, their children met relatively good conditions for the acquisition of their heritage language. Nonetheless, second-generation heritage speakers (HSs) show some linguistic particularities in comparison to monolingual Portuguese speakers in Portugal. Based on the results of previous research, we show that the following factors shape the linguistic knowledge of this group of bilinguals: (1) Restricted exposure to the heritage language may cause a delay in the development of certain linguistic structures, (2) deviations from the standard norm may be related to the lack of formal education and the primacy of the colloquial register and (3) heritage bilinguals may accelerate ongoing diachronic development. We argue that apparent effects of influence from the environmental language can often have alternative explanations.
The article critically engages Menachem Fisch’s account of normative frameworks, in particular of (rational) transitions between them. I argue, first, that exposure to the normative criticism leveled at us by other human beings is indeed “capable of destabilizing normative commitment” to one’s own underlying framework beliefs and standards, as Fisch holds; however, closer scrutiny reveals that such exposure is neither sufficient nor necessary but rather accidental in this respect. Second, I will try to show that Søren Kierkegaard’s account of how people fundamentally change their mind provides resources for both a substantial critique of Fisch and a more adequate understanding of the transitions in question. The article argues, third, that Fisch’s framework model – though meaningful, in fact heuristically indispensable in and as of itself – has robust transcendental implications which as such are being ignored, if not directly denied by Fisch and, precisely by being ignored or denied, unnecessarily weaken the overall plausibility of his account. Finally, and ex post, I will address an important objection raised by some commentators.
Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph—Areas of Interest (AOIs). To gain a deeper insight into students’ task-solving process, we argue that the gaze shifts between students’ fixations on different AOIs (so-termed transitions) also need to be included in holistic analyses of graph understanding that consider the importance of transitions for the task-solving process. Thus, we introduced Epistemic Network Analysis (ENA) as a novel approach to analyze eye-tracking data of 23 university students who solved eight multiple-choice graph tasks in physics and economics. ENA is a method for quantifying, visualizing, and interpreting network data allowing a weighted analysis of the gaze patterns of both correct and incorrect graph task solvers considering the interrelations between fixations and transitions. After an analysis of the differences in the number of fixations and the number of single transitions between correct and incorrect solvers, we conducted an ENA for each task. We demonstrate that an isolated analysis of fixations and transitions provides only a limited insight into graph solving behavior. In contrast, ENA identifies differences between the gaze patterns of students who solved the graph tasks correctly and incorrectly across the multiple graph tasks. For instance, incorrect solvers shifted their gaze from the graph to the x-axis and from the question to the graph comparatively more often than correct solvers. The results indicate that incorrect solvers often have problems transferring textual information into graphical information and rely more on partly irrelevant parts of a graph. Finally, we discuss how the findings can be used to design experimental studies and for innovative instructional procedures in higher education
Cisplatin, which induces DNA damage, is standard chemotherapy for advanced bladder cancer (BCa). However, efficacy is limited due to resistance development. Since artesunate (ART), a derivative of artemisinin originating from Traditional Chinese Medicine, has been shown to exhibit anti-tumor activity, and to inhibit DNA damage repair, the impact of artesunate on cisplatin-resistant BCa was evaluated. Cisplatin-sensitive (parental) and cisplatin-resistant BCa cells, RT4, RT112, T24, and TCCSup, were treated with ART (1–100 µM). Cell growth, proliferation, and cell cycle phases were investigated, as were apoptosis, necrosis, ferroptosis, autophagy, metabolic activity, and protein expression. Exposure to ART induced a time- and dose-dependent significant inhibition of tumor cell growth and proliferation of parental and cisplatin-resistant BCa cells. This inhibition was accompanied by a G0/G1 phase arrest and modulation of cell cycle regulating proteins. ART induced apoptos is by enhancing DNA damage, especially in the resistant cells. ART did not induce ferroptosis, but led to a disturbance of mitochondrial respiration and ATP generation. This impairment correlated with autophagy accompanied by a decrease in LC3B-I and an increase in LC3B-II. Since ART significantly inhibits proliferative and metabolic aspects of cisplatin-sensitive and cisplatin-resistant BCa cells, it may hold potential in treating advanced and therapy-resistant BCa.
Background: The spontaneously diabetic “non-obese diabetic” (NOD) mouse is a faithful model of human type-1 diabetes (T1D). Methods: Given the pivotal role of α4 integrin (CD49d) in other autoimmune diseases, we generated NOD mice with α4-deficient hematopoiesis (NOD.α4-/-) to study the role of α4 integrin in T1D. Results: NOD.α4-/- mice developed islet-specific T-cells and antibodies, albeit quantitatively less than α4+ counterparts. Nevertheless, NOD.α4-/- mice were completely and life-long protected from diabetes and insulitis. Moreover, transplantation with isogeneic α4-/- bone marrow prevented progression to T1D of pre-diabetic NOD.α4+ mice despite significant pre-existing islet cell injury. Transfer of α4+/CD3+, but not α4+/CD4+ splenocytes from diabetic to NOD.α4-/- mice induced diabetes with short latency. Despite an only modest contribution of adoptively transferred α4+/CD3+ cells to peripheral blood, pancreas-infiltrating T-cells were exclusively graft derived, i.e., α4+. Microbiota of diabetes-resistant NOD.α4-/- and pre-diabetic NOD.α4+ mice were identical. Co- housed diabetic NOD.α4+ mice showed the characteristic diabetic dysbiosis, implying causality of diabetes for dysbiosis. Incidentally, NOD.α4-/- mice were protected from autoimmune sialitis. Conclusion: α4 is a potential target for primary or secondary prevention of T1D.
This article has two aims: it discusses the use and function of a very specific contract clause in Hellenistic time and explores the possibilities and limits to use databases and their automated searches and visualisations as heuristic tools. It is argued, that praxis … kata to diagramma is mainly a regional variety of an executionclause and not connected to the Greek type lawcourts as supposed by Mitteis and Wolff. Graph-databases can help to see different possible decisive features at the same time and show, which connections are more intensive than others, but automated analysis is slowed down and blurred by the lack of categorizing specific to the questions of legal history
Unpredictable disease trajectories make early clarification of end-of-life (EoL) care preferences in older patients with multimorbidity advisable. This mixed methods systematic review synthesizes studies and assesses such preferences. Two independent reviewers screened title/abstracts/full texts in seven databases, extracted data and used the Mixed Methods Appraisal Tool to assess risk of bias (RoB). We synthesized findings from 22 studies (3243 patients) narratively and, where possible, quantitatively. Nineteen studies assessed willingness to receive life-sustaining treatments (LSTs), six, the preferred place of care, and eight, preferences regarding shared decision-making processes. When unspecified, 21% of patients in four studies preferred any LST option. In three studies, fewer patients chose LST when faced with death and deteriorating health, and more when treatment promised life extension. In 13 studies, 67% and 48% of patients respectively were willing to receive cardiopulmonary resuscitation and mechanical ventilation, but willingness decreased with deteriorating health. Further, 52% of patients from three studies wished to die at home. Seven studies showed that unless incapacitated, most patients prefer to decide on their EoL care themselves. High non-response rates meant RoB was high in most studies. Knowledge of EoL care preferences of older patients with multimorbidity increases the chance such care will be provided.
Background: Surgical complications are associated with a significant burden to patients and hospitals and are increasingly discussed in recent literature. This cohort study reviewed surgery-related complications in a Level I trauma center. The effect of a complication avoidance care bundle on the rate of surgical complications was analyzed. Methods: All complications (surgical and nonsurgical) that occur in our trauma department are prospectively captured using a standardized documentation form and are discussed and analyzed in a weekly trauma Morbidity and Mortality (M&M) conference. Surgical complication rates are calculated using the annual surgical procedure numbers. Based on discussions in the M&M conference, a complication avoidance care bundle consisting of five measures was established: (1) Improving team situational awareness; (2) reducing operating room traffic by staff members and limiting door-opening events; (3) preoperative screening for infectious foci; (4) adapted preoperative antibiotic prophylaxis in anatomic regions with a high risk of infectious complications; and (5) use of iodine-impregnated adhesive drape. Results: The number of surgical procedures steadily increased over the study years, from 3587 in 2015 to 3962 in 2019 (an increase of 10.5%). Within this 5-year study period, the overall rate of surgical complications was 0.8%. Surgical site infections were the most frequently found complications (n = 40, 24.8% of all surgical complications), followed by screw malposition (n = 20, 12.4%), postoperative dislocations of arthroplasties (n = 18, 11.2%), and suboptimal fracture reduction (n = 18, 11.2%). Following implementation of the complication avoidance care bundle, the overall rate of surgical complications significantly decreased, from 1.14% in the year 2016 to 0.56% in the study year 2019, which represents a reduction of 51% within a 3-year time period. Conclusions: A multimodal strategy targeted at reducing the surgical complication rate can be successfully established based on a transparent discussion of adverse surgical outcomes. The combination of the different preventive measures was associated with reducing the overall complication rate by half within a 3-year time period.
The main goal of the present study was the identification of cellular phenotypes in attention-deficit-/hyperactivity disorder (ADHD) patient-derived cellular models from carriers of rare copy number variants (CNVs) in the PARK2 locus that have been previously associated with ADHD. Human-derived fibroblasts (HDF) were cultured and human-induced pluripotent stem cells (hiPSC) were reprogrammed and differentiated into dopaminergic neuronal cells (mDANs). A series of assays in baseline condition and in different stress paradigms (nutrient deprivation, carbonyl cyanide m-chlorophenyl hydrazine (CCCP)) focusing on mitochondrial function and energy metabolism (ATP production, basal oxygen consumption rates, reactive oxygen species (ROS) abundance) were performed and changes in mitochondrial network morphology evaluated. We found changes in PARK2 CNV deletion and duplication carriers with ADHD in PARK2 gene and protein expression, ATP production and basal oxygen consumption rates compared to healthy and ADHD wildtype control cell lines, partly differing between HDF and mDANs and to some extent enhanced in stress paradigms. The generation of ROS was not influenced by the genotype. Our preliminary work suggests an energy impairment in HDF and mDAN cells of PARK2 CNV deletion and duplication carriers with ADHD. The energy impairment could be associated with the role of PARK2 dysregulation in mitochondrial dynamics.
In the absence of an active prophylactic vaccine against HIV-1, passively administered, broadly neutralizing antibodies (bnAbs) identified in some chronically infected persons were shown to prevent HIV-1 infection in animal models. However, passive administration of bnAbs may not be suited to prevent sexual HIV-1 transmission in high-risk cohorts, as a continuous high level of active bnAbs may be difficult to achieve at the primary site of sexual transmission, the human vagina with its acidic pH. Therefore, we used Lactobacillus, a natural commensal in the healthy vaginal microbiome, to express bn nanobodies (VHH) against HIV-1 that we reported previously. After demonstrating that recombinant VHHA6 expressed in E. coli was able to protect humanized mice from mucosal infection by HIV-1Bal, we expressed VHHA6 in a soluble or in a cell-wall-anchored form in Lactobacillus rhamnosus DSM14870. This strain is already clinically applied for treatment of bacterial vaginosis. Both forms of VHHA6 neutralized a set of primary epidemiologically relevant HIV-1 strains in vitro. Furthermore, VHHA6 was still active at an acidic pH. Thus, lactobacilli expressing bn VHH potentially represent an attractive vector for the passive immunization of women in cohorts at high risk of HIV-1 transmission.
The transcription factor NF-E2 p45-related factor 2 (Nrf2) is an established master regulator of the anti-oxidative and detoxifying cellular response. Thus, a role in inflammatory diseases associated with the generation of large amounts of reactive oxygen species (ROS) seems obvious. In line with this, data obtained in cell culture experiments and preclinical settings have shown that Nrf2 is important in regulating target genes that are necessary to ensure cellular redox balance. Additionally, Nrf2 is involved in the induction of phase II drug metabolizing enzymes, which are important both in degrading and converting drugs into active forms, and into putative carcinogens. Therefore, Nrf2 has also been implicated in tumorigenesis. This must be kept in mind when new therapy approaches are planned for the treatment of sepsis. Therefore, this review highlights the function of Nrf2 in sepsis with a special focus on the translation of rodent-based results into sepsis patients in the intensive care unit (ICU).
People with Parkinson’s disease (PD) experience a gradual loss of functional abilities that affects all facets of their daily life. There is a lack of longitudinal studies on coping styles in relation to the disease progression among people with PD. The aim of this study was to explore how coping styles in PD evolve over a 3-year period. Data from the longitudinal project “Home and Health in People Ageing with PD” was utilized (N = 158), including baseline and 3-year follow-up assessments. Coping was captured by ratings of 13 different coping styles. A factor analysis was conducted to analyse patterns of coping styles. Stability and change were analysed for each of the 13 styles with respect to the course of the disease. The factor analysis revealed four coping patterns: pessimistic, optimistic, persistent and support-seeking. The stability of each coping style over time ranged from 75.3% to 90.5%. Those who experienced a worsening of the disease were most inclined to change their coping style (p = 0.006). The results suggest that even when facing severe challenges due to PD in daily life, coping styles remain relatively stable over time. However, a worsening in PD severity appeared to trigger a certain re-evaluation of coping styles.