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91 during segmentation tasks, and a mean measurement error of 1.89 centimeters, finally leading to a 1.4 day mean average error in the predicted GA compared to expert sonographer GA estimate using the Hadlock equation.Non-Western vaccines are serious players in the global effort against covid-19, but we need more transparent data, reports Graham Lawton.China experienced significant flooding in the summer of 2020 and multiple extreme cold surges during the winter of 2020/21. Additionally, the 2020 typhoon season had below average activity with especially quiet activity during the first half of the season in the western North Pacific (WNP). Sea surface temperature changes in the Pacific, Indian, and Atlantic Oceans all contributed to the heavy rainfall in China, but the Atlantic and Indian Oceans seem to have played dominant roles. Enhancement and movement of the Siberian High caused a wavier pattern in the jet stream that allowed cold polar air to reach southward, inducing cold surges in China. Large vertical wind shear and low humidity in the WNP were responsible for fewer typhoons in the first half of the typhoon season. Although it is known that global warming can increase the frequency of extreme weather and climate events, its influences on individual events still need to be quantified. Additionally, the extreme cold surge during 16-18 February 2021 in the United States shares similar mechanisms with the winter 2020/21 extreme cold surges in China.Using a two-wave online experiment, we investigate whether COVID-19 exposure changes participants' threat-detection threshold. Threat reactivity was measured in a signal detection task among 277 British adults who also reported how vulnerable they felt to infectious diseases. Participants' data were then matched to the local number of confirmed COVID-19 cases announced by the NHS every day. We found that participants who perceive themselves as more likely to catch infectious diseases displayed higher threat reactivity in response to increased COVID-19 cases.Countries increasingly compete to attract and retain human capital. However, empirical studies, particularly those of migrants moving back to developing countries, have been limited due to the lack of education-specific migration flow data. Drawing on census microdata from IPUMS, we derive flow data by level of education and age group to quantify the level of return migration and examine the educational and age profile of return migrants for a global sample of 60 countries representing 70% of the world population. We show that return migrants account for a significant share of in-migration flows, particularly in Africa and Latin America, and, in all countries but six, return migrants are more educated than the population in the migrants' country of birth. Our age decomposition reveals that young adults contribute the most to the positive educational selectivity of return migrants, particularly in Africa and Asia. While this paper does not quantify the net effect of return migration on education levels, it underlines the importance of the human capital contributions of young adult returnees.

The online version contains supplementary material available at 10.1007/s11113-021-09655-6.

The online version contains supplementary material available at 10.1007/s11113-021-09655-6.We assess the impact of demographic changes on human capital accumulation and aggregate output using an overlapping generations model with endogenous savings and human capital investment decisions. We focus on China as it has experienced rapid changes in demographics as well as human capital levels between 1970 and 2010. Additionally, further variations in demographics are expected due to the recently introduced two-child policy. Model simulations indicate that education shares and income per capita will be lower with a fertility rebound as compared to status quo fertility. We find education policy to be effective in mitigating these adverse outcomes associated with higher fertility. While long-run declines in output per capita can be offset by a 4.7% increase in the government education budget, it requires a 28% increase to achieve the same outcome in the short-run.The mitigation required to achieve the 1.5 °C goal of the Paris Agreement entails drastic emissions reductions. The mentioned goal is of special interest for regions like the Mediterranean where the average temperature is rising above the world average with the consequential risk for the future viability of its different ecosystems. The objective of this work is to analyze if the commitments of the Mediterranean Basin countries submitted under the Paris Agreement framework are in line with the 1.5 °C goal. For this analysis, the cumulative emissions of the current Nationally Determined Contributions of these countries until 2030, are compared with the result obtained from distributing the cumulative greenhouse gas emissions compatible with the 1.5 °C global mitigation scenario between 2018 and 2100. This distribution is obtained using the Model of Climate Justice that allocates the global emissions by using equity criteria (equality and responsibility) that take into consideration the historical responsibility for each country, in the period from 1994 to 2017. There are two main conclusions from the analysis of the NDCs. find more Firstly, it is concluded that the Mediterranean Basin countries, as a whole, are not in line with the 1.5 °C goal, because by 2030, 77% of the emissions budget that should be available until 2100, based on the equity criteria aforementioned, will already have been emitted. And, secondly, when the NDCs for each one of the countries are compared, some significant differences in the degree of ambition can be seen.In 2015, Portugal offered citizenship to Sephardic Jews of Portuguese origin. Recommendations for Israeli applicants were made via the tiny Jewish community of Lisbon, while Porto was to decide on Jewry from the diaspora. Porto made the process stringent, dealing with Sephardim and the ultra-religious only. Lisbon thus became the address for everyone else, including Ashkenazim and Catholic Hispanic descendants of Jews. This article examines the ways in which Portugal followed the path taken by Spain concerning citizenship for Sephardim. As Spain ended its offer of citizenship in 2018-2019, Portugal, via Israeli lawyers and shopping-centre salesmen, became an easy path to a European passport for tens of thousands of Israelis of Sephardic origin. This mass interest created a rich source of income for the two Jewish communities, but also led to the emergence of unexpected categories of applicants for Portuguese citizenship. Based on ethnographic research and dozens of interviews, this article analyzes the factors and motivations that help to explain the desire for Portuguese citizenship.In June 2020, the Office for National Statistics (ONS) in England and Wales published the results of an investigation into mortality from COVID-19 by religious group. The analysis revealed a significant "Jewish penalty" coronavirus mortality of Jews was shown to be relatively high compared to the British Christian majority. This paper considers these findings in the light of the literature on Jewish mortality and undertakes a re-analysis of the results alongside the additional data on Jewish deaths provided by the British Jewish communal statistics. It asks two questions (1) To what extent is elevated British Jewish mortality from COVID-19 a result of the presence of long-standing vulnerability and ill health among Jews? (2) What role do strictly Orthodox Jews play in elevating coronavirus mortality levels among British Jews? The primary contribution of the paper is to explore, via analyses of alternative data sources, the ONS finding of elevated Jewish mortality from coronavirus, to explain why it is surprising, to test whether it is real and to eliminate certain explanations. Such process of elimination in itself will highlight other alternative explanations, but the paper falls short of decisively explaining the phenomenon of the elevated British Jewish mortality from coronavirus. It ends with an outline of future directions of research in this area.Since the emergence of COVID-19, the number of infections has significantly increased. As of April 7, 800 am, the total number of global infections has already reached 1,338,415, with the number of deaths being 74,556. Medical experts from various countries have conducted relevant researches in their own fields and countries, and the development of an effective vaccine has been expected soon. Although some progress has been made in the development of therapeutic drugs and vaccines, interdisciplinary and cooperative studies are scarce. However, it is easy to form information islands and conduct repeated scientific research. To date, no therapeutic drug or vaccine for COVID-19 has been officially approved yet for marketing. In this article, the features of experts in cooperation networks, such as graph structure, context attribute, sequential co-occurrence probability, weight features and auxiliary features, are comprehensively analyzed. Based on this, a novel graph neural network + long short-term memory + generative adversarial network (GNN + LSTM + GAN) expert recommendation model based on link prediction is constructed to encourage cooperation among relevant experts in research social networks. Finding experts in related fields, establishing cooperative relations with them and achieving multinational and cross-field expert cooperation are significant to promote the development of therapeutic drugs and vaccines.The h-index is an indicator of the scientific impact of an academic publishing career. Its hybrid publishing/citation nature and inherent bias against younger researchers, women, people in low resourced countries, and those not prioritizing publishing arguably give it little value for most formal and informal research evaluations. Nevertheless, it is well-known by academics, used in some promotion decisions, and is prominent in bibliometric databases, such as Google Scholar. In the context of this apparent conflict, it is important to understand researchers' attitudes towards the h-index. This article used public tweets in English to analyse how scholars discuss the h-index in public is it mentioned, are tweets about it positive or negative, and has interest decreased since its shortcomings were exposed? The January 2021 Twitter Academic Research initiative was harnessed to download all English tweets mentioning the h-index from the 2006 start of Twitter until the end of 2020. The results showed a constantly increasing number of tweets. Whilst the most popular tweets unapologetically used the h-index as an indicator of research performance, 28.5% of tweets were critical of its simplistic nature and others joked about it (8%). The results suggest that interest in the h-index is still increasing online despite scientists willing to evaluate the h-index in public tending to be critical. Nevertheless, in limited situations it may be effective at succinctly conveying the message that a researcher has had a successful publishing career.During the previous Ebola and Zika outbreaks, researchers shared their data, allowing many published epidemiological studies to be produced only from open research data, to speed up investigations and control of these infections. This study aims to evaluate the dissemination of the COVID-19 research data underlying scientific publications. Analysis of COVID-19 publications from December 1, 2019, to April 30, 2020, was conducted through the PubMed Central repository to evaluate the research data available through its publication as supplementary material or deposited in repositories. The PubMed Central search generated 5,905 records, of which 804 papers included complementary research data, especially as supplementary material (77.4%). The most productive journals were The New England Journal of Medicine, The Lancet and The Lancet Infectious Diseases, the most frequent keyword was pneumonia, and the most used repositories were GitHub and GenBank. An expected growth in the number of published articles following the course of the pandemics is confirmed in this work, while the underlying research data are only 13.