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The increasing demand for new therapies and other clinical interventions has made researchers conduct many clinical trials. The high level of evidence generated by clinical trials makes them the main approach to evaluating new clinical interventions. The increasing amounts of data to be considered in the planning and conducting of clinical trials has led to higher costs and increased timelines of clinical trials, with low productivity. Advanced technologies including artificial intelligence, machine learning, deep learning, and the internet of things offer an opportunity to improve the efficiency and productivity of clinical trials at various stages. Although researchers have done some tangible work regarding the application of advanced technologies in clinical trials, the studies are yet to be mapped to give a general picture of the current state of research. This systematic mapping study was conducted to identify and analyze studies published on the role of advanced technologies in clinical trials. A search restricted to the period between 2010 and 2020 yielded a total of 443 articles. The analysis revealed a trend of increasing research interests in the area over the years. Recruitment and eligibility aspects were the main focus of the studies. The main research types were validation and evaluation studies. Most studies contributed methods and theories, hence there exists a gap for architecture, process, and metric contributions. In the future, more empirical studies are expected given the increasing interest to implement the AI, ML, DL, and IoT in clinical trials.This commentary identifies and characterizes correction and erratum in COVID-19 publications with a scientometric approach by considering their rate of growth, reasons for correction, the time-span between publishing the original and corrected versions, as well as their citation status in four questions. It also suggestions to solve the current issues regarding indexing, retrieving, publishing, and research evaluation.COVID-19 changed the context for Information and Communication Technology (ICT) use globally. With face-to-face practice restricted, almost all communication with clients shifted to ICTs. Starting in April 2019, we conducted semi-structured interviews with social workers from four agencies serving diverse populations in a large urban centre, with the aim of exploring social workers' informal ICT use with clients. Approximately 6 weeks after the cessation of face-to-face practice in March 2020 due to COVID-19 measures, we re-interviewed social workers (n = 11) who had participated in our study. Second interviews were based on a newly developed interview guide that explored social workers' use of ICTs with clients in the context of COVID-19. Analysis of transcribed interviews revealed that the context of COVID-19 had generated two main themes. One, a paradigm shift for social workers was characterized by (a) diverse ICT options, (b) client-driven approach, and (c) necessary creativity. The second theme entails the impact of this transition which involved (a) greater awareness of clients' degree of access, (b) confidentiality and privacy, and (c) professional boundaries. We discuss these themes and sub-themes and present implications for practice and research in a Post-COVID-19 world.Abstract Imagine you are an agnostic who wants to maximise your chances of getting the right answer to the question whether God exists. I show that theism and atheism are not on an epistemic par with one another because, under certain possible epistemically neutral conditions, the rational thing for you to do from a purely epistemic point of view would be to bet on the atheist's judgement that God doesn't exist rather than on the theist's judgement that God does exist.Numerous markets are affected during the coronavirus pandemic by corporate closures and insolvencies, mergers and reduced incentives for start-ups. In addition, the surge in digitisation due to policies intended to reduce personal contacts is expected to lead to an increasing significance of digital markets. Sustained structural changes with adverse effects on competition are therefore to be expected against the backdrop of existing trends toward increasing market power and concentration in certain sectors of the economy. With this in mind, the economic policy responses to the challenges posed by the crisis should consider the requirements of long-term competition. Mergers and state aid control without any substantive legal concessions as well as the flanking of state shareholdings in companies with measures to promote competition would contribute to this.The Corona crisis has led to unforeseeable additional expenses as well as significant losses of tax income for local governments. In order to stabilise public finances at the local level, the German federal government has passed two new bills. One of the bills basically provides for a permanent expansion of the federal government's financial contribution towards the cost of housing and heating as part of the guaranteed minimum income for job seekers. The federal government also singularly compensates - in cooperation with the state governments - local governments for the significant crisis-related decline in local business tax revenue through a lump sum payment in 2020. However, these two measures will affect short-term intervention to cope with the fiscal problems of the Corona crisis as well as the fundamental need to reform public finances at local government level.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. 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.