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The N-terminus of the hepatitis B virus (HBV) large surface protein (LHB) differs with respect to genotypes. Compared to the amino terminus of genotype (Gt)D, in GtA, GtB and GtC, an additional identical 11 amino acids (aa) are found, while GtE and GtG share another similar 10 aa. Variants of GtB and GtC affecting this N-terminal part are associated with hepatoma formation. Deletion of these amino-terminal 11 aa in GtA reduces the amount of LHBs and changes subcellular accumulation (GtA-like pattern) to a dispersed distribution (GtD-like pattern). Vice versa, the fusion of the GtA-derived N-terminal 11 aa to GtD causes a GtA-like phenotype. However, insertion of the corresponding GtE-derived 10 aa to GtD has no effect. Deletion of these 11aa decreases filament size while neither the number of released viral genomes nor virion size and infectivity are affected. A negative regulatory element (aa 2–8) and a dominant positive regulatory element (aa 9–11) affecting the amount of LHBs were identified. The fusion of this motif to eGFP revealed that the effect on protein amount and subcellular distribution is not restricted to LHBs. These data identify a novel region in the N-terminus of LHBs affecting the amount and subcellular distribution of LHBs and identify release-promoting and -inhibiting aa residues within this motive.
The term fatigue is not only used to describe a sleepy state with a lack of drive, as observed in patients with chronic physical illnesses, but also a state with an inhibition of drive and central nervous system (CNS) hyperarousal, as frequently observed in patients with major depression. An electroencephalogram (EEG)-based algorithm has been developed to objectively assess CNS arousal and to disentangle these pathophysiologically heterogeneous forms of fatigue. The aim of this study was to test the hypothesis that fatigued patients with CNS hyperarousal score higher on depressive symptoms than those without this neurophysiological pattern. Methods: Subjects with fatigue (Multidimensional Fatigue Inventory sum-score > 40) in the context of cancer, neuroinflammatory, or autoimmune diseases were drawn from the 60+ cohort of the Leipzig Research Center for Civilization Diseases. CNS arousal was assessed by automatic EEG-vigilance stage classification using the Vigilance Algorithm Leipzig (VIGALL 2.1) based on 20 min EEG recordings at rest with eyes closed. Depression was assessed by the Inventory of Depressive Symptomatology (IDS-SR). Results: Sixty participants (33 female; median age: 67.5 years) were included in the analysis. As hypothesized, fatigued patients with CNS hyperarousal had higher IDS-SR scores than those without hyperarousal (F1,58 = 18.34; p < 0.0001, η2 = 0.240). Conclusion: hyperaroused fatigue in patients with chronic physical illness may be a sign of comorbid depression.
Access to specialized care is essential for people with Parkinson´s disease (PD). Given the growing number of people with PD and the lack of general practitioners and neurologists, particularly in rural areas in Germany, specialized PD staff (PDS), such as PD nurse specialists and Parkinson Assistants (PASS), will play an increasingly important role in the care of people with PD over the coming years. PDS have several tasks, such as having a role as an educator or adviser for other health professionals or an advocate for people with PD to represent and justify their needs. PD nurse specialists have been established for a long time in the Netherlands, England, the USA, and Scandinavia. In contrast, in Germany, distinct PDS models and projects have been established. However, these projects and models show substantial heterogeneity in terms of access requirements, education, theoretical and practical skills, principal workplace (inpatient vs. outpatient), and reimbursement. This review provides an overview of the existing forms and regional models for PDS in Germany. PDS reimbursement concepts must be established that will foster an implementation throughout Germany. Additionally, development of professional roles in nursing and more specialized care in Germany is needed.
Central banks unexpectedly tightening policy rates often observe the exchange value of their currency depreciate, rather than appreciate as predicted by standard models. We document this for Fed and ECB policy days using event studies and ask whether an information effect, where the public attributes the policy surprise to an unobserved state of the economy that the central bank is signaling by its policy may explain the abnormality. It turns out that many informational assumptions make a standard two- country New Keynesian model match this behavior. To identify the particular mechanism, we condition on multiple asset prices in the event study and model implications for these. We find that there is heterogeneity in this dimension in the event study and no model with a single regime can match the evidence. Further, even after conditioning on possible information effects driving longer term interest rates, there appear to be other drivers of exchange rates. Our results show that existing models have a long way to go in reconciling event study analysis with model-based mechanisms of asset pricing.
Background & Aims: NAFLD is a growing health concern. The aim of the Fatty Liver Assessment in Germany (FLAG) study was to assess disease burden and provide data on the standard of care from secondary care. Methods: The FLAG study is an observational real-world study in patients with NAFLD enrolled at 13 centres across Germany. Severity of disease was assessed by non-invasive surrogate scores and data recorded at baseline and 12 months. Results: In this study, 507 patients (mean age 53 years; 47% women) were enrolled. According to fibrosis-4 index, 64%, 26%, and 10% of the patients had no significant fibrosis, indeterminate stage, and advanced fibrosis, respectively. Patients with advanced fibrosis were older, had higher waist circumferences, and higher aspartate aminotransferase and gamma-glutamyltransferase as well as ferritin levels. The prevalence of obesity, arterial hypertension, and type 2 diabetes increased with fibrosis stages. Standard of care included physical exercise >2 times per week in 17% (no significant fibrosis), 19% (indeterminate), and 6% (advanced fibrosis) of patients. Medication with either vitamin E, silymarin, or ursodeoxycholic acid was reported in 5%. Approximately 25% of the patients received nutritional counselling. According to the FibroScan-AST score, 17% of patients presented with progressive non-alcoholic steatohepatitis (n = 107). On follow-up at year 1 (n = 117), weight loss occurred in 47% of patients, of whom 17% lost more than 5% of body weight. In the weight loss group, alanine aminotransferase activities were reduced by 20%. Conclusions: This is the first report on NAFLD from a secondary-care real-world cohort in Germany. Every 10th patient presented with advanced fibrosis at baseline. Management consisted of best supportive care and lifestyle recommendations. The data highlight the urgent need for systematic health agenda in NAFLD patients. Lay summary: FLAG is a real-world cohort study that examined the liver disease burden in secondary and tertiary care. Herein, 10% of patients referred to secondary care for NAFLD exhibited advanced liver disease, whilst 64% had no significant liver scarring. These findings underline the urgent need to define patient referral pathways for suspected liver disease.
This article discusses the potential of a historical approach to sustainability transformations. Using environmental issues and governance structures as case studies, it first describes how historical “sustainability transformations” can be conceptualized. It then suggests that 19th-century constitutional reforms can be read as attempts at reaching fiscal sustainability, whereas some social reforms can be interpreted as attempts to render the capitalist economy sustainable. In conclusion, the article highlights that the primary value of historical approaches to sustainability transformations will not lie in models, but in encouraging more creative questions.
Primary breast lymphoma accounts for 0.04%-0.5% of all breast malignancies. Primary non-Hodgkin’s lymphomas of the breast are extremely rare and represent approximately 0.38%-0.7% of all cases. Epstein-Barr virus (EBV) has been postulated to play an important role in the pathogenesis of Hodgkin’s lymphoma. We present a case of EBV-positive primary Hodgkin’s lymphoma of the breast. Although there is no sufficient data on this challenging diagnosis, it is known that it could be misdiagnosed with inflammatory breast carcinoma. A crucial part of the proper histopathologic diagnosis is immunohistochemistry. Different modalities of treatment include operative procedure, chemotherapy and radiotherapy. Recent studies suggest chemotherapy and radiotherapy to be initial treatment for patients with primary breast lymphomas.
In the fish embryo toxicity (FET) test with zebrafish (Danio rerio) embryos, 3,4-dichloroaniline (3,4-DCA) is often employed as a positive control substance. Previous studies have characterized bioconcentration and transformation of 3,4-DCA in this test under flow-through conditions. However, the dynamic changes of chemical concentrations in exposure media and embryos were not studied systematically under the commonly used semi-static exposure conditions in multiwell plates. To overcome these limitations, we conducted semi-static exposures experiments where embryolarval zebrafish were exposed to 0.5, 2.0, and 4.0 mg L−1 of 3,4-DCA for up to 120 hpf, with 24-h renewal intervals. During each renewal interval, concentrations of 3,4-DCA were quantified in water samples at 0, 6, 18, and 24 h using high-performance liquid chromatography with diode array detection. Levels of 3,4-DCA in larvae were measured after 120 h exposure. Concentrations of 3,4-DCA in the test vessels decreased rapidly during exposure. Taking these dynamics into account, bioconcentration factors in the present study ranged from 12.9 to 29.8 L kg−1, depending on exposure concentration. In summary, this study contributed to our knowledge of chemical dynamics in the FET test with embryolarval zebrafish, which will aid in defining suitable exposure conditions for future studies.
Drug resistance of childhood cancer neuroblastoma is a serious clinical problem. Patients with relapsed disease have a poor prognosis despite intense treatment. In the present study, we aimed to identify chemoresistance gene expression signatures in vincristine resistant neuroblastoma cells. We found that vincristine-resistant neuroblastoma cells formed larger clones and survived under reduced serum conditions as compared with non-resistant parental cells. To identify the possible mechanisms underlying vincristine resistance in neuroblastoma cells, we investigated the expression profiles of genes known to be involved in cancer drug resistance. This specific gene expression patterns could predict the behavior of a tumor in response to chemotherapy and for predicting the prognosis of high-risk neuroblastoma patients. Our signature could help chemoresistant neuroblastoma patients in avoiding useless and harmful chemotherapy cycles.
Our primary objective is to construct a plausible, unified model of inflation, dark energy and dark matter from a fundamental Lagrangian action first principle, wherein all fundamental ingredients are systematically dynamically generated starting from a very simple model of modified gravity interacting with a single scalar field employing the formalism of non-Riemannian spacetime volume-elements. The non-Riemannian volume element in the initial scalar field action leads to a hidden, nonlinear Noether symmetry which produces an energy-momentum tensor identified as the sum of a dynamically generated cosmological constant and dust-like dark matter. The non-Riemannian volume-element in the initial Einstein–Hilbert action upon passage to the physical Einstein-frame creates, dynamically, a second scalar field with a non-trivial inflationary potential and with an additional interaction with the dynamically generated dark matter. The resulting Einstein-frame action describes a fully dynamically generated inflationary model coupled to dark matter. Numerical results for observables such as the scalar power spectral index and the tensor-to-scalar ratio conform to the latest 2018 PLANCK data.
Our knowledge of early evolution of snakes is improving, but all that we can infer about the evolution of modern clades of snakes such as boas (Booidea) is still based on isolated bones. Here, we resolve the phylogenetic relationships of Eoconstrictor fischeri comb. nov. and other booids from the early-middle Eocene of Messel (Germany), the best-known fossil snake assemblage yet discovered. Our combined analyses demonstrate an affinity of Eoconstrictor with Neotropical boas, thus entailing a South America-to-Europe dispersal event. Other booid species from Messel are related to different New World clades, reinforcing the cosmopolitan nature of the Messel booid fauna. Our analyses indicate that Eoconstrictor was a terrestrial, medium- to large-bodied snake that bore labial pit organs in the upper jaw, the earliest evidence that the visual system in snakes incorporated the infrared spectrum. Evaluation of the known palaeobiology of Eoconstrictor provides no evidence that pit organs played a role in the predator–prey relations of this stem boid. At the same time, the morphological diversity of Messel booids reflects the occupation of several terrestrial macrohabitats, and even in the earliest booid community the relation between pit organs and body size is similar to that seen in booids today.
Fifty years ago, Zajonc, Heingartner, and Herman (1969) conducted a famous experiment on social enhancement and inhibition of performance in cockroaches. A moderating effect of task difficulty on the effect of the presence of an audience, as revealed by impaired performance in complex tasks and enhanced performance in simple tasks, was presented as the major conclusion of this research. However, the researchers did not test this interaction statistically. We conducted a preregistered direct replication using a 2 (audience: present vs. absent) × 2 (task difficulty: runway vs. maze) between-subjects design. Results revealed main effects for task difficulty, with faster running times in the runway than the maze, and for audience, with slower running times when the audience was present than when it was absent. There was no interaction between the presence of an audience and task difficulty. Although we replicated the social-inhibition effect, there was no evidence for a social-facilitation effect.
Ein halbes Jahrhundert Judaistik in Frankfurt : das »kleine Fach« feiert 50-jähriges Bestehen
(2020)
Predictability and the cross-section of expected returns: a challenge for asset pricing models
(2020)
Many modern macro finance models imply that excess returns on arbitrary assets are predictable via the price-dividend ratio and the variance risk premium of the aggregate stock market. We propose a simple empirical test for the ability of such a model to explain the cross-section of expected returns by sorting stocks based on the sensitivity of expected returns to these quantities. Models with only one uncertainty-related state variable, like the habit model or the long-run risks model, cannot pass this test. However, even extensions with more state variables mostly fail. We derive criteria models have to satisfy to produce expected return patterns in line with the data and discuss various examples.
The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses machine learning models to extract the news’ sentiment. We consider the period from January till June 2020 and analyze 203,886 online articles that deal with the pandemic and that were published on three platforms: MarketWatch.com, Reuters.com and NYtimes.com. Our findings show that there is a significant and positive relationship between sentiment score and market returns. This result indicates that an increase (decrease) in the sentiment score implies a rise in positive (negative) news and corresponds to positive (negative) market returns. We also find that the variance of the sentiments and the volume of the news sources for Reuters and MarketWatch, respectively, are negatively associated to market returns indicating that an increase of the uncertainty of the sentiment and an increase in the arrival of news have an adverse impact on the stock market.