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Although it was feared that the corona pandemic could worsen the balance sheet quality of banks and financial intermediaries, bank stabilisation has not yet been the focus of economic policy measures to overcome the effects of the corona pandemic. Rather, the effects of the lockdown have impacted several sectors of the real economy. So far, stationary retail trade, the tourism sector and hotels and restaurants have been hit by the lockdown. In addition, industry has been particularly affected by an interruption in supply chains. The automotive industry even temporarily halted production completely. The question now is to what extent the corona pandemic may destabilise the banking sector.The United States is characterised by a structural populism problem that persists even without Trump as president. Its economic policy is fundamentally contradictory. The US fiscal and deficit policy under Trump was considered risky even before the corona shock, while the aggressive US trade policy is a self-inflicted wound. If we look at effective lifetime income, Germany, France and the United States are on an equal footing. This is due in part to the lag in life expectancy in the US and the much higher health care costs – relative to GDP – in the American system. A transatlantic dialogue on reform would be worthwhile after the corona shock of 2020.The ECB is discussing how to raise its inflation target slightly to 2 %, just as the US Federal Reserve is raising it slightly and aiming to achieve it over several years on average. In reality, however, the inflation rate is well below 2 % despite the very relaxed monetary policy. Will the measures against the corona crisis increase the inflation rate? This did not happen during the financial crisis despite the increase in the money supply. Even current economic developments do not explain the high price increases. So what rate should be measured as an indicator of “true” inflation? Should asset prices be taken into account? What about the GDP deflator, or the consumer price index? How should a hedonic quality adjustment be assessed? These are the questions that Zeitgespräch participants will discuss.The coronavirus disease 2019 pandemic continues as of March 26 and spread to Europe on approximately February 24. A report from April 29 revealed 1.26 million confirmed cases and 125 928 deaths in Europe. To refer government and enterprise to arrange countermeasures. The paper proposes a novel deep neural network framework to forecast the COVID-19 outbreak. The COVID-19Net framework combined 1D convolutional neural network, 2D convolutional neural network, and bidirectional gated recurrent units. COVID-19Net can well integrate the characteristics of time, space, and influencing factors of the COVID-19 accumulative cases. see more Three European countries with severe outbreaks were studied-Germany, Italy, and Spain-to extract spatiotemporal features and predict the number of confirmed cases. The prediction results acquired from COVID-19Net are compared to those obtained using a CNN, GRU, and CNN-GRU. The mean absolute error, mean absolute percentage error, and root mean square error, which is commonly used model assessment indices, were used to compare the accuracy of the models. The results verified that COVID-19Net was notably more accurate than the other models. The mean absolute percentage error generated by COVID-19Net was 1.447 for Germany, 1.801 for Italy, and 2.828 for Spain, which was considerably better than those of the other models. This indicated that the proposed framework could accurately predict the accumulated number of confirmed cases in the three countries and serve as an essential reference for devising public health strategies. And also indicated that COVID-19 has high spatiotemporal relations, it suggests us to keep a social distance and avoid unnecessary trips.This case study explores how teacher education curriculum in a college in Israel responded to the Covid-19 outbreak. The article focuses on the clinical component of the preservice curriculum (practice teaching and methods courses). It reveals that curriculum became malleable in two major ways there was (1) a shift to learner-centered well-being and social emotional learning (SEL); and (2) an adaptation of teaching methods. The Covid-19 shutdown imposed a restructuring of the content, sequence, and scope of the curriculum. While certain topics were omitted or reduced in scope, others-especially those related to digital instruction-were introduced or expanded. Pedagogy instructors also began to attend to their students’ well-being by introducing SEL contents and activities. This response during challenging times revealed teacher educators’ adaptability, resilience, and agency. The Covid-19 breakout transformed the curriculum from a traditional pre-planned and structured syllabus to one that is more responsive, dynamic, and malleable.Effects rippling from the Covid 19 emergency include changes in the personal, social, and economic spheres. Are there continuities as well? Based on a literature review (primarily of UNESCO and OECD publications and their critics), the following question is posed How can one resist the slide into passive technologization and seize the possibility of achieving a responsive, ethical, humane, and international-transformational approach to education? Technologization, while an ongoing and evidently ever-intensifying tendency, is not without its critics, especially those associated with the humanistic tradition in education. This is more apparent now that curriculum is being conceived as a complicated conversation. In a complex and unequal world, the well-being of students requires diverse and even conflicting visions of the world, its problems, and the forms of knowledge we study to address them.Supramolecular block copolymers composed of discrete blocks have promising properties for nanotechnology resulting from their ability to combine well-defined morphologies with good bulk material properties. Here, we present the impact of a well-defined siloxane block in either the main-chain or present as pendant grafts on the properties of supramolecular block copolymers that form ordered nanostructures with sub-5 nm domains. For this, two types of supramolecular block copolymers were synthesized based on the ureidopyrimidinone-urethane (UPy-UT) motif. In the first, oligodimethylsiloxanes (oDMS) of discrete length were end-capped with the UPy-UT motif, affording main-chain UPy-UT-Si n . In the second, the UPy-UT motif was grafted with discrete oDMS affording grafted UPy-UT-g-Si 7 . For the two systems, the compositions are similar; only the molecular architecture differs. In both cases, crystallization of the UPy-UT block is in synergy with phase segregation of the oDMS, resulting in the formation of lamellar morphologies.