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In this talk we presented a novel technique, based on Deep Learning, to determine the impact parameter of nuclear collisions at the CBM experiment. PointNet based Deep Learning models are trained on UrQMD followed by CBMRoot simulations of Au+Au collisions at 10 AGeV to reconstruct the impact parameter of collisions from raw experimental data such as hits of the particles in the detector planes, tracks reconstructed from the hits or their combinations. The PointNet models can perform fast, accurate, event-by-event impact parameter determination in heavy ion collision experiments. They are shown to outperform a simple model which maps the track multiplicity to the impact parameter. While conventional methods for centrality classification merely provide an expected impact parameter distribution for a given centrality class, the PointNet models predict the impact parameter from 2–14 fm on an event-by-event basis with a mean error of −0.33 to 0.22 fm.
Objective: Due to the prohibition of face-to-face courses during the Corona pandemic, the seminar "Written Examinations" of the Frankfurter Arbeitsstelle für Medizindidaktik (FAM) was converted into an asynchronous online seminar. This pilot project investigated how such a format is accepted and evaluated by the participants. Methodology: A forum-based online format with group and individual tasks was chosen, which was didactically designed according to the problem-oriented design by Reinmann and Mandl. Results: The seminar was attended by 14 people, 13 of whom took part in the evaluation. The overall evaluation was, with one exception, a grade of 2 (and better). The three items "practical relevance", "subjective learning success" and the question of recommendation also received very high approval ratings. The weekly workload reported by the participants was very heterogeneous (mean=2.4 hours; SD=1.1). For some participants, the use of the learning platform was not intuitive and group collaboration was somewhat faltering.Conclusion: The experiences made show that courses on medical didactics can be implemented online and are gladly accepted by the participants. Based on the experience gained, online seminars or blended learning formats will certainly continue to be part of the FAM course program in the future.
Scanning Hall probe microscopy is attractive for minimally invasive characterization of magnetic thin films and nanostructures by measurement of the emanating magnetic stray field. Established sensor probes operating at room temperature employ highly miniaturized spin-valve elements or semimetals, such as Bi. As the sensor layer structures are fabricated by patterning of planar thin films, their adaption to custom-made sensor probe geometries is highly challenging or impossible. Here we show how nanogranular ferromagnetic Hall devices fabricated by the direct-write method of focused electron beam induced deposition (FEBID) can be tailor-made for any given probe geometry. Furthermore, we demonstrate how the magnetic stray field sensitivity can be optimized in situ directly after direct-write nanofabrication of the sensor element. First proof-of-principle results on the use of this novel scanning Hall sensor are shown.
Endothelial cells play a critical role in the adaptation of tissues to injury. Tissue ischemia induced by infarction leads to profound changes in endothelial cell functions and can induce transition to a mesenchymal state. Here we explore the kinetics and individual cellular responses of endothelial cells after myocardial infarction by using single cell RNA sequencing. This study demonstrates a time dependent switch in endothelial cell proliferation and inflammation associated with transient changes in metabolic gene signatures. Trajectory analysis reveals that the majority of endothelial cells 3 to 7 days after myocardial infarction acquire a transient state, characterized by mesenchymal gene expression, which returns to baseline 14 days after injury. Lineage tracing, using the Cdh5-CreERT2;mT/mG mice followed by single cell RNA sequencing, confirms the transient mesenchymal transition and reveals additional hypoxic and inflammatory signatures of endothelial cells during early and late states after injury. These data suggest that endothelial cells undergo a transient mes-enchymal activation concomitant with a metabolic adaptation within the first days after myocardial infarction but do not acquire a long-term mesenchymal fate. This mesenchymal activation may facilitate endothelial cell migration and clonal expansion to regenerate the vascular network.
During dynamic ultrasound assessments, unintended transducer movement over the skin needs to be prevented as it may bias the results. The present study investigated the validity of two methods quantifying transducer motion. An ultrasound transducer was moved on a pre-specified 3 cm distance over the semitendinosus muscle of eleven adults (35.8 ± 9.8 years), stopping briefly at intervals of 0.5 cm. Transducer motion was quantified (1) measuring the 2-D displacement of the shadow produced by reflective tape (RT) attached to the skin and (2) using a marker-based, three-dimensional movement analysis system (MAS). Differences between methods were detected with Wilcoxon tests; associations were checked by means of intraclass correlation coefficients (ICC 3.1) and Bland–Altman plots. Values for RT (r = 0.57, p < 0.001) and MAS (r = 0.19, p = 0.002) were significantly higher than true distances (TD). Strong correlations were found between RT and TD (ICC: 0.98, p < 0.001), MAS and TD (ICC: 0.95, p < 0.001), and MAS and RT (ICC: 0.97, p < 0.001). Bland–Altman plots showed narrow limits of agreement for both RT (−0.49 to 0.13 cm) and MAS (−0.49 to 0.34 cm) versus TD. RT and MAS are valid methods to quantify US transducer movement. In view of its low costs and complexity, RT can particularly be recommended for application in research and clinical practice. View Full-Text
Keywords: ultrasound; reflective tape; transducer movement
The ability to learn sequential contingencies of actions for predicting future outcomes is indispensable for flexible behavior in many daily decision-making contexts. It remains open whether such ability may be enhanced by transcranial direct current stimulation (tDCS). The present study combined tDCS with functional near-infrared spectroscopy (fNIRS) to investigate potential tDCS-induced effects on sequential decision-making and the neural mechanisms underlying such modulations. Offline tDCS and sham stimulation were applied over the left and right dorsolateral prefrontal cortex (dlPFC) in young male adults (N = 29, mean age = 23.4 years, SD = 3.2) in a double-blind between-subject design using a three-state Markov decision task. The results showed (i) an enhanced dlPFC hemodynamic response during the acquisition of sequential state transitions that is consistent with the findings from a previous functional magnetic resonance imaging (fMRI) study; (ii) a tDCS-induced increase of the hemodynamic response in the dlPFC, but without accompanying performance-enhancing effects at the behavioral level; and (iii) a greater tDCS-induced upregulation of hemodynamic responses in the delayed reward condition that seems to be associated with faster decision speed. Taken together, these findings provide empirical evidence for fNIRS as a suitable method for investigating hemodynamic correlates of sequential decision-making as well as functional brain correlates underlying tDCS-induced modulation. Future research with larger sample sizes for carrying out subgroup analysis is necessary in order to decipher interindividual differences in tDCS-induced effects on sequential decision-making process at the behavioral and brain levels.
Aufbau: Acoustic Radiation Force Impulse (ARFI)- Bildgebung ist eine auf der konventionellen Ultraschall- Bildgebung basierende Elastographie- Methode, die die quantitative Messung der Festigkeit und Elastizität von Gewebe ermöglicht. Das Ziel der vorliegenden Studie war es, ARFI- Bildgebung für die Differenzierung von Schilddrüsenknoten zu evaluieren und mit der bereits gut erprobten qualitativen Messmethode der Real-Time Elastographie (RTE) zu vergleichen.
Material und Methoden: ARFI- Bildgebung basiert auf der Aussendung von akustischen Impulsen in Gewebe, wodurch lokale Gewebeverschiebungen hervorgerufen werden. Die dabei entstehenden Transversalwellen wiederum werden über auf Korrelation basierende Methoden mittels Ultraschallwellen detektiert und in m/s angegeben. Einschlusskriterien der Studie waren: Knoten ≥ 5 mm sowie eine zytologische/histologische Aufarbeitung. Alle Patienten erhielten eine konventionelle Ultraschall- Untersuchung, eine Real-Time Elastographie sowie eine ARFI- Bildgebung.
Ergebnisse: Es standen 158 Knoten aus 138 Patienten zur Analyse zur Verfügung. 137 Knoten erbrachten bei der zytologischen/histologischen Aufarbeitung ein benignes Ergebnis, 21 Knoten hingegen wurden als maligne eingestuft. Die mittlere Geschwindigkeit der Messungen der ARFI- Bildgebung in gesundem Schilddrüsengewebe betrug 1,76 m/s, in benignen Knoten 1,90 m/s und in malignen Knoten 2,69 m/s. Es konnte kein signifikanter Unterschied der mittleren Geschwindigkeit zwischen gesundem Schilddrüsengewebe und benignen Knoten ermitteltet werden, wohingegen ein signifikanter Unterschied zwischen malignen Knoten und gesundem Schilddrüsengewebe (p= 0,0019) einerseits und benignen Schilddrüsenknoten (p=0,0039) andererseits bestand. Für die diagnostische Genauigkeit bei der Diagnose von malignen Schilddrüsenknoten konnte kein signifikanter Unterschied zwischen RTE und ARFI- Bildgebung festgestellt werden (0,74 vs. 0,69, p=0,54). Die Kombination von RTE und ARFI- Bildgebung erhöhte die Spezifität bei der Diagnose von malignen Schilddrüsenknoten von 72% (nur RTE) auf 92% (kombiniert).
Schlussfolgerungen: ARFI- Bildgebung kann als zusätzliche Methode bei der diagnostischen Aufarbeitung von Schilddrüsenknoten genutzt werden und liefert dabei einen hohen negativen prädiktiven Wert sowie vergleichbare Ergebnisse wie die RTE.
Despite the increasing use of cashless payment instruments, the notion that cash loses importance over time can be unambiguously refuted. In contrast, the authors show that cash demand increased steeply over the past 30 years. This is not only true on a global scale, but also for the most important currencies in advanced countries (USD, EUR, CHF, GBP and JPY). In this paper, they focus especially on the role of different crises (technological crises, financial market crises, natural disasters) and analyse the demand for small and large banknote denominations since the 1990s in an international perspective. It is evident that cash demand always increases in times of crises, independent of the nature of the crisis itself. However, largely unaffected from crises we observe a trend increase in global cash aligned with a shift from transaction balances towards more hoarding, especially in the form of large denomination banknotes.
Uni-Highlights Februar 2021 : Einladungen zu ausgewählten Veranstaltungen der Goethe-Universität
(2021)
Tuberöse Sklerose („tuberous sclerosis complex“ [TSC]) ist eine seltene genetische Erkrankung, die neben kutanen und viszeralen Organmanifestationen typischerweise bereits in einem sehr frühen Erkrankungsstadium mit einer schweren, meist therapierefraktären Epilepsie einhergeht. Aufgrund seiner direkten Wirkung am durch TSC dysregulierten mTOR-Signalweg sowie der synergistischen Effekte auf andere Organmanifestationen kommt das Rapamycin-Derivat Everolimus (EVE) zunehmend zur Anwendung. Ziel dieses systematischen Reviews ist, die Wirksamkeit, Sicherheit und Verträglichkeit von EVE bei Patienten mit TSC-assoziierter, therapierefraktärer Epilepsie aufzuarbeiten.
Drug resistance is a commonly unavoidable consequence of cancer treatment that results in therapy failure and disease relapse. Intrinsic (pre-existing) or acquired resistance mechanisms can be drug-specific or be applicable to multiple drugs, resulting in multidrug resistance. The presence of drug resistance is, however, tightly coupled to changes in cellular homeostasis, which can lead to resistance-coupled vulnerabilities. Unbiased gene perturbations through RNAi and CRISPR technologies are invaluable tools to establish genotype-to-phenotype relationships at the genome scale. Moreover, their application to cancer cell lines can uncover new vulnerabilities that are associated with resistance mechanisms. Here, we discuss targeted and unbiased RNAi and CRISPR efforts in the discovery of drug resistance mechanisms by focusing on first-in-line chemotherapy and their enforced vulnerabilities, and we present a view forward on which measures should be taken to accelerate their clinical translation.
Background: To test the effect of variant histology relative to urothelial histology on stage at presentation, cancer specific mortality (CSM) and overall mortality (OM) after chemotherapy use, in urethral cancer.
Materials and Methods: Within the Surveillance, Epidemiology and End Results (2004–2016) database, we identified 1,907 primary variant histology urethral cancer patients. Kaplan-Meier plots, Cox regression analyses, cumulative incidence-plots, multivariable competing-risks regression models and propensity score matching for patient and tumor characteristics were used.
Results:Of 1,907 eligible urethral cancer patients, urothelial histology affected 1,009 (52.9%) vs. squamous cell carcinoma (SCC) 455 (23.6%) vs. adenocarcinoma 278 (14.6%) vs. other histology 165 (8.7%) patients. Urothelial histological patients exhibited lower stages at presentation than SCC, adenocarcinoma or other histology patients. In urothelial histology patients, five-year CSM was 23.5% vs. 34.4% in SCC (Hazard Ratio (HR) 1.57) vs. 40.7% in adenocarcinoma (HR 1.69) vs. 43.4% in other histology (HR 1.99, p<0.001). After matching in multivariate competing-risks regression models, variant histology exhibited 1.35-fold higher CSM than urothelial. Finally, in metastatic urethral cancer, lower OM was recorded after chemotherapy in general, including metastatic adenocarcinoma and other variant histology subtypes, except metastatic SCC.
Conclusion: Adenocarcinoma, SCC and other histology subtypes affect fewer patients than urothelial histology. Presence of variant histology results in higher CSM. Finally, chemotherapy for metastatic urethral cancer improves survival in adenocarcinoma and other variant histology subtypes, but not in SCC.
The Global South is facing severe challenges in ensuring livelihood security due to climate change impacts, environmental degradation and population growth as well as changing lifestyles. These complex problems cannot be solely solved by single scientific disciplines – they require transdisciplinary research (TDR). Stakeholders from civil society, the corporate sector, government and science need to pool their knowledge to find solutions for sustainable transformations. In Namibia, we have been involved in TDR projects on water supply, and sanitation services as well as livestock management in rangeland systems. In this paper, we review two TDR projects that differ in multiple ways and hence allow us to carve out structural differences and critically discuss research outcomes, lessons learned and the challenge of North–South collaborations. Our review builds upon published and unpublished project documents as well as expert interviews with Namibian and German researchers who were involved in the projects. Our results show that TDR can be put into practice in different ways, depending on the research focus and the period available. The TDR phases of problem framing, inter- and transdisciplinary integration were implemented with different tools and foci points. We discuss the role of project length and funding conditions for project success and outcome generation. In addition, we critically consider the role of Namibian and German researchers in these international collaborations. The conclusions we draw touch upon the points of preparatory research funding, the equal acknowledgement of Global South contributions to joint research projects and the explicit handling of TDR components in project work. Significance: • The current social-ecological challenges are complex and require TDR as a mode of knowledge coproduction, particularly in a development context. • Inter- and transdisciplinary integration are critical processes for a project to be successful and require the allocation of adequate time and monetary resources. • Longer-term projects with a funded preparatory research phase constitute a structural model for TDR as project outcomes can evolve over time. • Global South researchers carry a hidden burden in international collaborations that has to be adequately acknowledged upfront in project planning and final products.
Abstract In the middle of the twentieth century, the from North America sooty bark disease (SBD) of maples was first discovered in England and has spread in the last decades in Central Europe, in particular. The trigger of SBD is the mould fungus Cryptostroma (C.) corticale. The most common infested maple is the sycamore, Acer pseudoplatanus, a common tree in woods and parks. The disease is characterised by peeling of the outer layer of the bark and brownish-black spores under the peeled off bark. These spores can cause maple bark disease (MBD) in humans, a hypersensitivity pneumonitis (HP) with similar symptoms like COPD, allergic asthma, influenza or flu-like infections and interstitial pneumonia. Persons who have intensive respectively occupational contact with infested trees or wood, e.g., woodman, foresters, sawyers or paper mill workers, are at risk in particular. Since C. corticale favours hot summers and host trees weakened by drought, SBD will increasingly spread in the future due to ongoing climate change. Consequently, the risk of developing MBD will increase, too. As with all HPs, e.g., farmer’s lung and pigeon breeder’s disease, the diagnosis of MBD is intricate because it has no clear distinguishing characteristics compared to other interstitial lung diseases. Therefore, the establishment of consistent diagnosis guidelines is required. For correct diagnosis and successful therapy, multidisciplinary expertise including pulmonologists, radiologists, pathologists and occupational physicians is recommended. If MBD is diagnosed in time, the removal of the triggering fungus or the infested maple wood leads to complete recovery in most cases. Chronic HP can lead to lung fibrosis and a total loss of lung function culminating in death. HP and, thus, MBD, is a disease with a very high occupational amount. To avoid contact with spores of C. corticale, persons working on infested wood or trees have to wear personal protective equipment. To protect the public, areas with infested maples have to be cordoned off, and the trees should be removed. This is also for impeding further spreading of the spores.
Background: Cumulative anticholinergic exposure, also known as anticholinergic burden, is associated with a variety of adverse outcomes. However, studies show that anticholinergic effects tend to be underestimated by prescribers, and anticholinergics are the most frequently prescribed potentially inappropriate medication in older patients. The grading systems and drugs included in existing scales to quantify anticholinergic burden differ considerably and do not adequately account for patients’ susceptibility to medications. Furthermore, their ability to link anticholinergic burden with adverse outcomes such as falls is unclear. This study aims to develop a prognostic model that predicts falls in older general practice patients, to assess the performance of several anticholinergic burden scales, and to quantify the added predictive value of anticholinergic symptoms in this context.
Methods: Data from two cluster-randomized controlled trials investigating medication optimization in older general practice patients in Germany will be used. One trial (RIME, n = 1,197) will be used for the model development and the other trial (PRIMUM, n = 502) will be used to externally validate the model. A priori, candidate predictors will be selected based on a literature search, predictor availability, and clinical reasoning. Candidate predictors will include socio-demographics (e.g. age, sex), morbidity (e.g. single conditions), medication (e.g. polypharmacy, anticholinergic burden as defined by scales), and well-being (e.g. quality of life, physical function). A prognostic model including sociodemographic and lifestyle-related factors, as well as variables on morbidity, medication, health status, and well-being, will be developed, whereby the prognostic value of extending the model to include additional patient-reported symptoms will be also assessed. Logistic regression will be used for the binary outcome, which will be defined as “no falls” vs. “≥1 fall” within six months of baseline, as reported in patient interviews. Discussion: As the ability of different anticholinergic burden scales to predict falls in older patients is unclear, this study may provide insights into their relative importance as well as into the overall contribution of anticholinergic symptoms and other patient characteristics. The results may support general practitioners in their clinical decision-making and in prescribing fewer medications with anticholinergic properties.
Simple Summary
Seizures are among the most common symptoms of meningioma patients even after surgery. This study sought to identify risk factors for early and late seizures in meningioma patients and to evaluate a modified version of a score to predict postoperative seizures on an independent cohort. The data underline that there are distinct factors identifying patients with a high risk of postoperative seizures following meningioma surgery which has been already shown before. We could further show that the high proportion of 43% of postoperative seizures occur as late seizures which are more dangerous because they may happen out of hospital. The modified STAMPE2 score could predict postoperative seizures when reaching very high scores but was not generally transferable to our independent cohort.
Abstract
Seizures are among the most common symptoms of meningioma. This retrospective study sought to identify risk factors for early and late seizures in meningioma patients and to evaluate a modified STAMPE2 score. In 556 patients who underwent meningioma surgery, we correlated different risk factors with the occurrence of postoperative seizures. A modified STAMPE2 score was applied. Risk factors for preoperative seizures were edema (p = 0.039) and temporal location (p = 0.038). For postoperative seizures preoperative tumor size (p < 0.001), sensomotory deficit (p = 0.004) and sphenoid wing location (p = 0.032) were independent risk factors. In terms of postoperative status epilepticus; sphenoid wing location (p = 0.022), tumor volume (p = 0.045) and preoperative seizures (p < 0.001) were independent risk factors. Postoperative seizures lead to a KPS deterioration and thus an impaired quality of life (p < 0.001). Late seizures occurred in 43% of patients with postoperative seizures. The small sub-cohort of patients (2.7%) with a STAMPE2 score of more than six points had a significantly increased risk for seizures (p < 0.001, total risk 70%). We concluded that besides distinct risk factors, high scores of the modified STAMPE2 score could estimate the risk of postoperative seizures. However, it seems not transferable to our cohort
Innovative ideas are essential to sustainable development. Students’ innovative potential in higher education for sustainable development (HESD) has so far been neglected. Innovation is often associated with an interdisciplinary approach. However, the results of research on diversity and its role in innovation are inconsistent. The present study takes a longitudinal approach to investigating student teams in project-based learning courses in HESD in Germany. This study examines how innovation develops in interdisciplinary student teams in contrast to monodisciplinary student teams. The results of the latent change approach from a sample of 69 student teams indicate significant changes in students’ innovation over time. Monodisciplinary student teams outperform interdisciplinary student teams in idea promotion (convincing potential allies) at the beginning, whereas interdisciplinary student teams outperform monodisciplinary student teams in idea generation (production of novel and useful ideas) in the midterm. There is no difference in the long term. The results indicate that interdisciplinary student teams have an advantage in the generation of novel ideas but need time to leverage their access to different discipline-based knowledge. We discuss practical implications for the design of interdisciplinary learning with strategies to support students in the formation phase in project-based learning in HESD.
In times of global warming caused by the extensive use of fossil fuels, the need to capture gaseous carbon compounds is growing bigger. Several groups of microorganisms can fix the greenhouse gas CO2. Out of these, acetogenic bacteria are role models in their ability to reduce CO2 with hydrogen to acetate, which makes acetogens prime candidates for genetic modification towards biotechnological production of value-added compounds from CO2, such as biofuels. However, growth of acetogens on gaseous substrates is strongly energy-limited, and successful metabolic engineering requires a detailed knowledge of the bioenergetics. In 1939, Clostridium aceticum was the first acetogen to be described. A recent genomic study revealed that this organism contains cytochromes and therefore may use a proton gradient in its respiratory chain. We have followed up these studies and will present data that C. aceticum does not use a H+ but a Na+ gradient for ATP synthesis, established by a Na+-Rnf. Experimental data and in silico analyses enabled us to propose the biochemistry and bioenergetics of acetogenesis from H2 + CO2 in C. aceticum.
Mesial temporal lobe epilepsy (mTLE) is a common form of epilepsy and is characterized by recurrent spontaneous seizures originating from the temporal lobe. The majority of mTLE patients develop pharmacoresistance to available anti-epileptic drugs (AEDs) while exhibiting severe pathological changes that can include hippocampal atrophy, neuronal death, gliosis and chronic seizures. The molecular mechanisms leading to mTLE remain incompletely understood, but are known to include defects in post-transcriptional gene expression regulation, including in non-coding RNAs (ncRNAs). Circular RNAs (circRNAs) are a class of recently rediscovered ncRNAs with high levels of expression in the brain and proposed roles in diverse neuronal processes. To explore a potential role for circRNAs in epilepsy, RNA-sequencing (RNA-seq) was performed on hippocampal tissue from a rat perforant pathway stimulation (PPS) model of TLE at different post-stimulation time points. This analysis revealed 218 differentially expressed (DE) circRNAs. Remarkably, the majority of these circRNAs were changed at the time of the occurrence of the first spontaneous seizure (DOFS). The expression pattern of two circRNAs, circ_Arhgap4 and circ_Nav3, was further validated and linked to miR-6328 and miR-10b-3p target regulation, respectively. This is the first study to examine the regulation of circRNAs during the development of epilepsy. It reveals an intriguing link between circRNA deregulation and the transition of brain networks into the state of spontaneous seizure activity. Together, our results provide a molecular framework for further understanding the role and mechanism-of-action of circRNAs in TLE.
Human societies are characterized by three constituent features, besides others. (A) Options, as for jobs and societal positions, differ with respect to their associated monetary and non-monetary payoffs. (B) Competition leads to reduced payoffs when individuals compete for the same option as others. (C) People care about how they are doing relatively to others. The latter trait –the propensity to compare one’s own success with that of others– expresses itself as envy. It is shown that the combination of (A)–(C) leads to spontaneous class stratification. Societies of agents split endogenously into two social classes, an upper and a lower class, when envy becomes relevant. A comprehensive analysis of the Nash equilibria characterizing a basic reference game is presented. Class separation is due to the condensation of the strategies of lower-class agents, which play an identical mixed strategy. Upper-class agents do not condense, following individualist pure strategies. The model and results are size-consistent, holding for arbitrary large numbers of agents and options. Analytic results are confirmed by extensive numerical simulations. An analogy to interacting confined classical particles is discussed.
The COVID-19 pandemic has caused strains on health systems worldwide disrupting routine hospital services for all non-COVID patients. Within this retrospective study, we analyzed inpatient hospital admissions across 18 German university hospitals during the 2020 lockdown period compared to 2018. Patients admitted to hospital between January 1 and May 31, 2020 and the corresponding periods in 2018 and 2019 were included in this study. Data derived from electronic health records were collected and analyzed using the data integration center infrastructure implemented in the university hospitals that are part of the four consortia funded by the German Medical Informatics Initiative. Admissions were grouped and counted by ICD 10 chapters and specific reasons for treatment at each site. Pooled aggregated data were centrally analyzed with descriptive statistics to compare absolute and relative differences between time periods of different years. The results illustrate how care process adoptions depended on the COVID-19 epidemiological situation and the criticality of the disease. Overall inpatient hospital admissions decreased by 35% in weeks 1 to 4 and by 30.3% in weeks 5 to 8 after the lockdown announcement compared to 2018. Even hospital admissions for critical care conditions such as malignant cancer treatments were reduced. We also noted a high reduction of emergency admissions such as myocardial infarction (38.7%), whereas the reduction in stroke admissions was smaller (19.6%). In contrast, we observed a considerable reduction in admissions for non-critical clinical situations, such as hysterectomies for benign tumors (78.8%) and hip replacements due to arthrosis (82.4%). In summary, our study shows that the university hospital admission rates in Germany were substantially reduced following the national COVID-19 lockdown. These included critical care or emergency conditions in which deferral is expected to impair clinical outcomes. Future studies are needed to delineate how appropriate medical care of critically ill patients can be maintained during a pandemic.
In patients with von Willebrand disease (vWD) the interest in age-related comorbidities has grown, because the life expectancy of these patients has increased. The research question of this study was whether patients with vWD show a different endothelial function compared to the general population. A total of 37 patients with type 1 (n = 23), type 2 (n = 10) and type 3 (n = 4) vWD, 14 controls and 38 patients with coronary artery disease (CAD) were included in this study. Five markers of endothelial dysfunction (MOED) were determined. Moreover, the endothelial function was examined using the Itamar Endo-PAT. The reactive hyperemia index (RHI) was calculated from the results. The markers soluble intercellular adhesion molecule-1 (p = 0.171), P-Selectin (p = 0.512), interleukin-6 (p = 0.734) and monocyte chemoattractant protein-1 (p = 0.761) showed higher levels in patients with vWD, but were not significantly different compared to the control group. RHI was impaired in CAD-patients (1.855), whereas vWD patients had mean results of 1.870 and controls 2.112 (p = 0.367). In this study, the endothelial function measurements of patients with von Willebrand disease were not significantly different compared to healthy controls.
Interleukin-7 (IL-7) is an important cytokine with pivotal pro-survival functions in the adaptive immune system. However, the role of IL-7 in innate immunity is not fully understood. In the present study, the impact of hepatic IL-7 on innate immune cells was assessed by functional experiments as well as in patients with different stages of liver cirrhosis or acute-on-chronic liver failure (ACLF). Human hepatocytes and liver sinusoidal endothelial cells secreted IL-7 in response to stimulation with interferons (IFNs) of type I and II, yet not type III. De novo translation of interferon-response factor-1 (IRF-1) restricted IL-7 production to stimulation with type I and II IFNs. LPS-primed human macrophages were identified as innate immune target cells responding to IL-7 signaling by inactivation of Glycogen synthase kinase-3 (GSK3). IL-7-mediated GSK3 inactivation augmented LPS-induced secretion of pro-inflammatory cytokines and blunted LPS tolerance of macrophages. The IFN-IRF-1-IL-7 axis was present in liver cirrhosis patients. However, liver cirrhosis patients with or without ACLF had significantly lower concentrations of IL-7 in serum compared to healthy controls, which might contribute to LPS-tolerance in these patients. In conclusion, we propose the presence of an inflammatory cascade where IFNs of type I/II induce hepatocellular IL-7 in an IRF-1-restriced way. Beyond its role in adaptive immune responses, IL-7 appears to augment the response of macrophages to LPS and to ameliorate LPS tolerance, which may improve innate immune responses against invading pathogens.
Einleitung: Der Typ 1 Diabetes (T1D) ist eine Autoimmunendokrinopathie, die mit zahlreichen Langzeitkomplikationen assoziiert ist. Kardiovaskuläre Erkrankungen (CVD) stellen hierbei den zentralen Grund für Morbidität und Mortalität dar. Ihre Pathogenese wird zunehmend im Kontext autoimmunologischer Prozesse diskutiert. Wir konnten bereits zeigen, dass Vitamin D (VD) sowohl immunmodulatorische als auch gefäßprotektive Effekte vermittelt. Daher untersuchten wir, ob durch VD die inflammatorische Aktivität CD8+ zytotoxischer T-Zellen (CTL) von Patienten mit T1D ohne und mit kardiovaskulärer Komplikation beeinflusst werden kann.
Methoden: Primär isolierte CTLs von sowohl Patienten mit T1D ohne (T1D Ø CVD, n = 20) und mit CVD (T1D + CVD, n = 20) als auch von gesunden Kontrollprobanden (HCs , n = 20) wurden über 72 h in An- bzw. Abwesenheit (+/-VD) von VD (1,25(OH)2D3) kultiviert. Die relative mRNA-Transkriptmenge der Zytokine IL-2, TNF-α, IFN-γ, IL-4, IL-6 und IL-10 sowie der Zelloberflächen- und Seneszenzmarker CD28, CD57 und CD95 wurde mittels RTqPCR analysiert. Zudem wurde die Proteinkonzentration der sezernierten Zytokine mittels CBA quantifiziert.
Ergebnisse: Die VD-Behandlung in vitro reduzierte die relative mRNA-Transkriptmenge von IL-2 (p = 0.01 und p = 0.02 resp.) und IFN-γ (p = 2x10-6 resp.) in CTLs von Patienten und HCs während die Genexpression von IL-4 (p = 2x10-6 und p = 2x10-3 resp.) und IL-6 (p = 2x10-6 und p = 4x10-6 resp.) erhöht wurde. Überdies war der VD-Effekt (ΔVDbehandelt-unbehandelt) auf die IL-4 Genexpression bei T1D + CVD stärker ausgeprägt als in der Kontrollgruppe (1.7 vs. 1.1; p = 0.03). Subgruppenanalysen zeigten zudem eine reduzierte IL-2 Genexpression durch die Behandlung mit VD in vitro bei T1D + CVD bei manifester diabetischer Nephropathie (142 vs. 97; p = 0.04) wohingegen dies bei erhaltener Nierenfunktion nicht beobachtet werden konnte (62 vs. 56; p = 0.31).
Schlussfolgerung: Die breite Modifikation der Genexpressionslevel untersuchter Zytokine bestätigt den immunmodulatorischen Effekt von VD bei Patienten mit T1D und kardiovaskulärer Komplikation. Die stark reduzierte Genexpression des pro-inflammatorischen IFN-γ legt hierbei einen potenziellen Effekt von VD in der Prävention chronisch-inflammatorischer Prozesse nahe. Die gruppenübergreifend unterschiedlich ausgeprägten VD-Effekte auf die Genexpression von IL-4 sowie die Subgruppenanalysen deuten jedoch auf eine relevante Heterogenität der immunmodulatorischen VD-Effekte hin: sowohl der individuelle klinische Zustand unter Einbeziehung assoziierter Komorbiditäten wie der diabetischen Nephropathie als auch die genetischen Variationen des VD-Systems müssen in groß angelegten Follow-up-Studien weiter untersucht werden, um optimale VD-Dosis-Effekte für klinisch relevante Subgruppen zu identifizieren.
In dieser Arbeit werden die Ergebnisse quantenchemischer Untersuchungen von verschiedenen Siliciumverbindungsklassen vorgestellt, die in weiten Teilen als Begleitung zu experimentellen Arbeiten durchgeführt wurden. Das erste Hauptkapitel befasst sich mit den Chloridkomplexen von Perchlorsilanen, zu denen die inversen Sandwichkomplexe und die Silafullerane mit endohedralem Gast gehören. Der Fokus liegt dabei auf den Bindungseigenschaften zwischen Ligand und Silan. Weiterhin werden thermodynamische Untersuchungen zu Aufbaureaktionen und Eigenschaften der Verbindungen vorgestellt. Mit den durchgeführten Rechnungen kann gezeigt werden, dass durch Wahl geeigneter Substituenten am Siliciumatom ein Wechsel in den Chloridkomplexen von einem hyperkoordinierten Siliciumatom hin zu einem Siliciumatom mit ausgebildeter Tetrelbindung erreicht werden kann. Bei den inversen Sandwichkomplexen sind beide Bindungsmodi möglich, von denen die Tetrelbindung die stärkere darstellt. Neben Chloridionen können hier auch Nitrile und Chlorsubstituenten am eigenen Silangerüst als Liganden fungieren. Die stärksten Tetrelbindungen können bei den endohedral funktionalisierten Silafullerankomplexen gefunden werden. Hier stellt das experimentell isolierte Strukturmotiv mit zwölf äußeren Trichlorsilylsubstituenten das thermodynamisch stabilste Substitutionsmuster dar. Im folgenden Kapitel werden die generellen physikalischen Ursachen für die beobachteten thermodynamischen Trends zwischen Perchlorsilanisomeren sowie Disproportionierungsreaktionen behandelt und ein direkter Vergleich mit Alkanhomologen angestellt. Bei den Perchlorsilanen und den meisten Homologen ist bei den untersuchten Systemen eine energetische Präferenz von verzweigteren Strukturen zu erkennen. Die Ursache hierfür liegt hauptsächlich bei stärkeren attraktiven Wechselwirkungen durch Korrelationseffekte, Hyperkonjugation sowie elektrostatische Effekte, welche stärkere repulsive Wechselwirkungen wie die Pauli-Repulsion überkompensieren. Im letzten Kapitel kommen zu den bisher behandelten Reaktionen unter Si-Cl- und Si-Si-Bindungsbeteiligung noch Reaktionen unter Si-C-Bindungsbeteiligungen hinzu. Dort werden die auch wegen ihrer Elektronentransporteigenschaften interessanten Silacyclopentadiene (Silole) hinsichtlich ihrer Isomerisierung, Dimerisierung und weiteren pericyclischen Reaktivität untersucht. Gegenüber dem verwandten Cyclopentadien zeigen diese eine deutlich erhöhte Reaktivität, was zu verschiedenen Dimerisierungsreaktionen führt, solange keine Abfangreagenzien im Überschuss zugegen sind.
Although the elderly are more vulnerable to COVID-19, the empirical evidence suggests that they do not behave more cautiously in the pandemic than younger individuals. This theoretical model argues that some individuals might not comply with the COVID-19 measures to reassure themselves that they are not vulnerable, and that the incentives for such self-signaling can be stronger for the elderly. The results suggest that communication strategies emphasizing the dangers of COVID-19 could backfire and reduce compliance among the elderly.
We study risk taking in a panel of subjects in Wuhan, China - before, during the COVID-19 crisis, and after the country reopened. Subjects in our sample traveled for semester break in January, generating variation in exposure to the virus and quarantine in Wuhan. Higher exposure leads subjects to reduce planned risk taking, risky investments, and optimism. Our findings help unify existing studies by showing that aggregate shocks affect general preferences for risk and economic expectations, while heterogeneity in experience further affect risk taking through beliefs about individuals’ own outcomes such as luck and sense of control.
JEL Classification: G50, G51, G11, D14, G41
Alman Anayasası velilere, öğrencilere ve dinî cemaatlere eğitim alanında haklar ve yetkiler tanımaktadır. Buna göre veliler ve öğrenciler doğrudan hak sahibi iken dinî cemaatler bu hakkın devletle birlikte taşıyıcısı ve uygulayıcısıdır. Anayasa; devletin, din dersi verme sorumluluğunu dinî cemaatlerle paylaşması gerektiğini ve din derslerini, dinî cemaatlerle uyum, anlaşma ve iş birliği içerisinde vermek zorunda olduğunu hükme bağlamıştır. Bu bağlamda din derslerinin, Devlet’in şekline ve Anayasa’sına halel getirmeden kiliselerin veya dinî cemaatlerin tasavvuru çerçevesinde verilmesi ve organize edilmesi öngörülmüştür. Bu makalede Devlet tarafından teminat altına alınan bu hak ve özgürlüklerin Alman okullarında uygulanabilmesi için söz konusu mevzuatın incelenerek okula, aileye ve ilgili cemaatlere düşen görev ve sorumlulukların belirlenmesi amaçlanmaktadır. Makalede anayasal çerçevesi ve hukuki statüsü incelenecek olan din dersleri meselesi, okullarda verilecek İslam din öğretimini yakından ilgilendirmektedir. Bu anlamda öncelikle Almanya’da din öğretiminin yasal dayanakları ile dinî cemaatlerin hukuki statüleri ortaya konulmuş, sonra da Almanya’da zorunlu temel öğretim kademelerinde okuyan Müslüman öğrencilere yönelik düzenlenen İslam din derslerine yer verilmiştir
The customer determines the success or failure of the company : interview with Philipp Schmitt
(2021)
COVID-19 HAS AGAIN TIGHTENED ITS GRIP AROUND THE WORLD AND THE HEALTH SYSTEM. THIS ARTICLE GIVES AN INTRODUCTION TO EXPLAINABLE INTERACTIVE MACHINE LEARNING AND PROVIDES INSIGHTS ON HOW THIS METHOD MAY NOT ONLY HELP IN ENGINEERING MORE POWERFUL AI SYSTEMS, BUT ALSO HOW IT MAY HELP TO EASE THE BURDEN OF VIRAL STRAINS ON THE HEALTHCARE SYSTEM.
ON JUNE 18TH, WIRECARD’S SHARE PRICE PLUMMETED BY MORE THAN 60% FOLLOWING THE FIRM’S ADMISSION OF BEING SUBJECT TO “ENORMOUS FRAUD” AND BILLIONS OF EUROS MISSING. THIS REPORT DOCUMENTS GERMAN RETAIL INVESTORS’ RESPONSE AND FINDS THAT THE POPULARITY OF WIRECARD AMONG RETAIL INVESTORS LED TO SUBSTANTIAL LOSSES IN THEIR PORTFOLIOS. THESE LOSSES WERE EXACERBATED BY STRONG BUYING SENTIMENT AFTER THE ANNOUNCEMENT. THE FAILING STOCK WAS PURCHASED BY INVESTORS ALREADY ENGAGED IN IT AS WELL AS NON-EXPOSED CUSTOMERS.
Start thinking in systems
(2021)
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
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.
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.
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.
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.