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Is free speech in danger on university campus? Some preliminary evidence from a most likely case
(2020)
Although universities play a key role in questions of free speech and political viewpoint diversity, they are often associated with the opposite of a free exchange of ideas: a proliferation of restrictive campus speech codes, violent protests against controversial speakers and even the firing of inconvenient professors. For some observers these trends on university campuses are a clear indicator of the dire future for freedom of speech. Others view these incidents as scandalized singular events and regard campus intolerance as a mere myth. We take an empirical look at some of the claims in the debate and present original survey evidence from a most likely case: the leftist social science studentship at Goethe University Frankfurt. Our results show that taking offense is a common experience and that a sizable number of students are in favor of restricting speech on campus. We also find evidence for conformity pressures on campus and that both the desire to restrict speech and the reluctance to speak openly differ significantly across political ideology. Left-leaning students are less likely to tolerate controversial viewpoints and right-leaning students are more likely to self-censor on politically sensitive issues such as gender, immigration, or sexual and ethnic minorities. Although preliminary, these findings may have implications for the social sciences and academia more broadly.
Objective: Combination antiretroviral therapy (cART) has markedly increased survival and quality of life in people living with HIV. With the advent of new treatment options, including single-tablet regimens, durability and efficacy of first-line cART regimens are evolving.
Methods: We analyzed data from the prospective multicenter German Clinical Surveillance of HIV Disease (ClinSurv) cohort of the Robert-Koch Institute. Kaplan–Meier and Cox proportional hazards models were run to examine the factors associated with treatment modification. Recovery after treatment initiation was analyzed comparing pre-cART viral load and CD4+ T-cell counts with follow-up data.
Results: We included 8788 patients who initiated cART between 2005 and 2017. The sample population was predominantly male (n = 7040; 80.1%), of whom 4470 (63.5%) were reporting sex with men as the transmission risk factor. Overall, 4210 (47.9%) patients modified their first-line cART after a median time of 63 months (IQR 59–66). Regimens containing integrase strand transfer inhibitors (INSTI) were associated with significantly lower rates of treatment modification (adjusted hazard ratio 0.44; 95% CI 0.39–0.50) compared to protease inhibitor (PI)-based regimens. We found a decreased durability of first-line cART significantly associated with being female, a low CD4+ T-cell count, cART initiation in the later period (2011–2017), being on a multi-tablet regimen (MTR).
Conclusions: Drug class and MTRs are significantly associated with treatment modification. INSTI-based regimens showed to be superior compared to PI-based regimens in terms of durability.
Hepatocyte nuclear factor 4α (HNF4α) is a ligand-sensing transcription factor and presents as a potential drug target in metabolic diseases and cancer. In humans, mutations in the HNF4α gene cause maturity-onset diabetes of the young (MODY), and the elevated activity of this protein has been associated with gastrointestinal cancers. Despite the high therapeutic potential, available ligands and structure–activity relationship knowledge for this nuclear receptor are scarce. Here, we disclose a chemically diverse collection of orthogonally validated fragment-like activators as well as inverse agonists, which modulate HNF4α activity in a low micromolar range. These compounds demonstrate the druggability of HNF4α and thus provide a starting point for medicinal chemistry as well as an early tool for chemogenomics.
Background: Extracorporeal life support (ECLS) has become an integral part of modern intensive therapy. The choice of support mode depends largely on the indication. Patients with respiratory failure are predominantly treated with a venovenous (VV) approach. We hypothesized that mortality in Germany in ECLS therapy did not differ from previously reported literature
Methods: Inpatient data from Germany from 2007 to 2018 provided by the Federal Statistical Office of Germany were analysed. The international statistical classification of diseases and related health problems codes (ICD) and process keys (OPS) for extracorporeal membrane oxygenation (ECMO) types, acute respiratory distress syndrome (ARDS) and hospital mortality were used.
Results: In total, 45,647 hospitalized patients treated with ECLS were analysed. In Germany, 231 hospitals provided ECLS therapy, with a median of 4 VV-ECMO and 9 VA-ECMO in 2018. Overall hospital mortality remained higher than predicted in comparison to the values reported in the literature. The number of VV-ECMO cases increased by 236% from 825 in 2007 to 2768 in 2018. ARDS was the main indication for VV-ECMO in only 33% of the patients in the past, but that proportion increased to 60% in 2018. VA-ECMO support is of minor importance in the treatment of ARDS in Germany. The age distribution of patients undergoing ECLS has shifted towards an older population. In 2018, the hospital mortality decreased in VV-ECMO patients and VV-ECMO patients with ARDS to 53.9% (n = 1493) and 54.4% (n = 926), respectively.
Conclusions: ARDS is a severe disease with a high mortality rate despite ECLS therapy. Although endpoints and timing of the evaluations differed from those of the CESAR and EOLIA studies and the Extracorporeal Life Support Organization (ELSO) Registry, the reported mortality in these studies was lower than in the present analysis. Further prospective analyses are necessary to evaluate outcomes in ECMO therapy at the centre volume level.
Objective: The COVID-19 pandemic made it necessary to convert a course on history taking, in theory and practice, to an online format over a very short time. A key question was whether, and if so to what extent, basic theory and, in particular, the practical skills required to conduct medical interviews can be learned online.
Methodology/project description: The teaching program in basic theory was didactically redesigned and asynchronously placed on a learning platform, while the practical program, which consisted of training in conducting history-taking interviews, took place with the help of video conferencing software during synchronous sessions. For the practical sessions, the lecturers received organizational and technical support.
Results: Based on initial evaluation results, a positive picture of the conversion has emerged since the course was completed. The need to restructure the course and use new teaching methods because of the COVID-19 pandemic was well accepted by lecturers and students, and the course content was successfully adapted to an online format.
Conclusion: Overall, the online format enabled the learning objectives of the course to be successfully achieved. For topics such as non-verbal communication, the evaluation results indicated that a classroom format is preferable. Asynchronous theory teaching was generally very well received. Blended learning formats thus represent an appropriate means of teaching how to conduct medical interviews. Overall, online courses on conducting medical interviews provide students with the opportunity to become acquainted with the use of digital formats to conduct doctor-patient interviews, and to develop the relevant skills.
This paper presents a follow-up study of Markovits et al.’s (2014) comparison of large samples of Greek employees before and at the onset of the economic crisis. Now at the crisis’ peak, we again sampled data from 450 employees about their job satisfaction, organizational commitment, regulatory focus, and burnout. Overall, compared to the two samples before, employees’ job attitudes further decrease with lower normative and higher continuance commitment, lower (extrinsic and intrinsic) job satisfaction and both lower promotion and (somewhat surprisingly) even lower prevention orientation. Expanding previous studies, results show that satisfaction and commitment are also related to burnout and that those participants who are currently employed but had experienced personal unemployment during the crisis showed more negative attitudes and higher burnout.
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.
Abstract
Divergence is mostly viewed as a progressive process often initiated by selection targeting individual loci, ultimately resulting in ever increasing genomic isolation due to linkage. However, recent studies show that this process may stall at intermediate stable equilibrium states without achieving complete genomic isolation. We tested the extent of genomic isolation between two recurrently hybridizing nonbiting midge sister taxa, Chironomus riparius and Chironomus piger, by analyzing the divergence landscape. Using a principal component‐based method, we estimated that only about 28.44% of the genomes were mutually isolated, whereas the rest was still exchanged. The divergence landscape was fragmented into isolated regions of on average 30 kb, distributed throughout the genome. Selection and divergence time strongly influenced lengths of isolated regions, whereas local recombination rate only had minor impact. Comparison of divergence time distributions obtained from several coalescence‐simulated divergence scenarios with the observed divergence time estimates in an approximate Bayesian computation framework favored a short and concluded divergence event in the past. Most divergence happened during a short time span about 4.5 million generations ago, followed by a stable equilibrium between mutual gene flow through ongoing hybridization for the larger part of the genome and isolation in some regions due to rapid purifying selection of introgression, supported by high effective population sizes and recombination rates.
Impact Summary
The process of speciation has fascinated biologists from early on. Prevailing theory suggested that gene flow among populations is the main obstacle for their divergence. Recently, it became clear that speciation with gene flow is possible under certain circumstances. However, it remains unclear how the divergence process proceeds in time, how widespread the phenomenon is, and whether it always and inevitably leads to complete isolation. Comparing the genomes of individuals of two regularly hybridizing sister taxa of nonbiting midges, we could show that they diverged during a short period millions of generations ago. Their divergence process apparently ceased before the entire genome was mutually isolated. The taxa remain distinct since, even though they share most of their genome. Our findings thus extend our view of the nature of species and the temporal dynamics of their divergence and describe novel approaches to analyze both current and past divergence processes.