During the late months of last year,a novel coronavirus was detected in Hubei,China.The virus,since then,has spread all across the globe forcing Word Health Organization(WHO)to declare COVID-19 outbreak a pandemic.In ...During the late months of last year,a novel coronavirus was detected in Hubei,China.The virus,since then,has spread all across the globe forcing Word Health Organization(WHO)to declare COVID-19 outbreak a pandemic.In Spain,the virus started infecting the country slowly until rapid growth of infected people occurred in Madrid,Barcelona and other major cities.The government in an attempt to stop the rapssid spread of the virus and ensure that health system will not reach its capacity,implement strict measures by putting the entire country in quarantine.The duration of these measures,depends on the evolution of the virus in Spain.In this study,a Deep Neural Network approach using Monte Carlo is proposed for generating a database to train networks for estimating the optimal parameters of a SIR epidemiology model.The number of total infected people as of April 7 in Spain is considered as input to the Deep Neural Network.The adaptability of the model was evaluated using the latest data upon completion of this paper,i.e.,April 14.The date range for the peak of infected people(i.e.,active cases)based on the new information is estimated to be within 74 to 109 days after the first recorded case of COVID-19 in Spain.In addition,a curve fitting measure based on the squared Euclidean distance indicates that according to the current data the peak might occur before the 86th day.Collectively,Deep Neural Networks have proven accurate and useful tools in handling big epidemiological data and for peak prediction estimates.展开更多
The paleogeographic reconstruction of fragmented and dispersed continents often poses a challenge due to the lack of information regarding the nature of that extend beneath passive margin basins.To define the width of...The paleogeographic reconstruction of fragmented and dispersed continents often poses a challenge due to the lack of information regarding the nature of that extend beneath passive margin basins.To define the width of the continental crust beneath passive margin basins and its implications for paleogeographic reconstruction of conjugate continental margins,this study investigates the architecture of the stretched continental crust of the southern South Atlantic conjugate margin.The investigated region encompasses South Africa,Namibia,southern Brazil,and Uruguay,which were formed during the Mesozoic rifting of SW Gondwana.Employing a multi-tool approach combining seismic interpretation,gravity,magnetometry,and U-Pb isotopic data,the research aims to quantify the extension of stretched continental crust and its implications for plate reconstructions.The study reveals that the restored stretched crust spans at least 150 km,emphasizing the significance of considering connections between both margins for realistic paleogeographic reconstructions.Furthermore,the distinct U-Pb zircon age distribution patterns between SW Africa and SE South America reinforce the lack of direct connections despite their Gondwanan origin.The missing link estimated in this study is around 150 km,comparable in size to major mountain ranges such as the Andean or Urals.This work sheds light on critical aspects of Earth’s dynamic crustal evolution and emphasizes the need for comprehensive reconstructions considering stretched and eroded crust in the South Atlantic conjugate margin.展开更多
基金This work was supported by the European Commission under project FLEXITRANSTORE-H2020-LCE-2016-2017-SGS-774407by the Spanish Ministry of Science under project ENE2017-88889-C2-1-RAny opinions,findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the host institutions or funders.
文摘During the late months of last year,a novel coronavirus was detected in Hubei,China.The virus,since then,has spread all across the globe forcing Word Health Organization(WHO)to declare COVID-19 outbreak a pandemic.In Spain,the virus started infecting the country slowly until rapid growth of infected people occurred in Madrid,Barcelona and other major cities.The government in an attempt to stop the rapssid spread of the virus and ensure that health system will not reach its capacity,implement strict measures by putting the entire country in quarantine.The duration of these measures,depends on the evolution of the virus in Spain.In this study,a Deep Neural Network approach using Monte Carlo is proposed for generating a database to train networks for estimating the optimal parameters of a SIR epidemiology model.The number of total infected people as of April 7 in Spain is considered as input to the Deep Neural Network.The adaptability of the model was evaluated using the latest data upon completion of this paper,i.e.,April 14.The date range for the peak of infected people(i.e.,active cases)based on the new information is estimated to be within 74 to 109 days after the first recorded case of COVID-19 in Spain.In addition,a curve fitting measure based on the squared Euclidean distance indicates that according to the current data the peak might occur before the 86th day.Collectively,Deep Neural Networks have proven accurate and useful tools in handling big epidemiological data and for peak prediction estimates.
基金supported by the UNISINOS-PETROBRAS and UNISINOS-CNODC Cooperation Agreements.
文摘The paleogeographic reconstruction of fragmented and dispersed continents often poses a challenge due to the lack of information regarding the nature of that extend beneath passive margin basins.To define the width of the continental crust beneath passive margin basins and its implications for paleogeographic reconstruction of conjugate continental margins,this study investigates the architecture of the stretched continental crust of the southern South Atlantic conjugate margin.The investigated region encompasses South Africa,Namibia,southern Brazil,and Uruguay,which were formed during the Mesozoic rifting of SW Gondwana.Employing a multi-tool approach combining seismic interpretation,gravity,magnetometry,and U-Pb isotopic data,the research aims to quantify the extension of stretched continental crust and its implications for plate reconstructions.The study reveals that the restored stretched crust spans at least 150 km,emphasizing the significance of considering connections between both margins for realistic paleogeographic reconstructions.Furthermore,the distinct U-Pb zircon age distribution patterns between SW Africa and SE South America reinforce the lack of direct connections despite their Gondwanan origin.The missing link estimated in this study is around 150 km,comparable in size to major mountain ranges such as the Andean or Urals.This work sheds light on critical aspects of Earth’s dynamic crustal evolution and emphasizes the need for comprehensive reconstructions considering stretched and eroded crust in the South Atlantic conjugate margin.
