Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources systematically.Big data has attract...Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources systematically.Big data has attracted wide attention from academia,for example,in supporting patients and health professionals by improving the accuracy of decision-making,diagnosis and disease prediction.This research aimed to perform a Bibliometric Performance and Network Analysis(BPNA)supported by a Scoping Review(SR)to depict the strategic themes,thematic evolution structure,main challenges and opportunities related to the concept of big data applied in the healthcare sector.With this goal in mind,4857 documents from the Web of Science covering the period between 2009 to June 2020 were analyzed with the support of SciMAT software.The bibliometric performance showed the number of publications and citations over time,scientific productivity and the geographic distribution of publications and research fields.The strategic diagram yielded 20 clusters and their relative importance in terms of centrality and density.The thematic evolution structure presented the most important themes and how it changes over time.Lastly,we presented the main challenges and future opportunities of big data in healthcare.展开更多
Microalgae cultivation is justified by the production of high-value fine chemicals and biofuels, essential to reduce the emissions of gases that cause global warming. This paper presents a study of the growth of micro...Microalgae cultivation is justified by the production of high-value fine chemicals and biofuels, essential to reduce the emissions of gases that cause global warming. This paper presents a study of the growth of microalgae Haematococcus pluvialis considering light conditions from 2000 to 10,000 lux, temperature 22?C and pH in the 6.5-12.5 range. The experiments were performed in 4 liter flat plate photobioreactors using the Rudic culture medium. The biomass growth was measured by counting cells in a Neubauer chamber. Both the light intensity and the pH of the medium influenced the rate of growth of the microalgae. A model with exponential behavior was proposed to describe the production of microalgae biomass over time. A nonlinear autoregressive model based on an Artificial Neural Network was used to predict the dynamic behavior of the pH during the growth of the microalgae at different light intensities. Simulations were carried out to analyze the behavior of biomass production at other light intensities within the range considered.展开更多
基金financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nível Superior-Brazil(CAPES)-Finance Code 001the Spanish Ministry of Science and Innovation under grants PID2019-105381 GA-100(iScience).
文摘Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources systematically.Big data has attracted wide attention from academia,for example,in supporting patients and health professionals by improving the accuracy of decision-making,diagnosis and disease prediction.This research aimed to perform a Bibliometric Performance and Network Analysis(BPNA)supported by a Scoping Review(SR)to depict the strategic themes,thematic evolution structure,main challenges and opportunities related to the concept of big data applied in the healthcare sector.With this goal in mind,4857 documents from the Web of Science covering the period between 2009 to June 2020 were analyzed with the support of SciMAT software.The bibliometric performance showed the number of publications and citations over time,scientific productivity and the geographic distribution of publications and research fields.The strategic diagram yielded 20 clusters and their relative importance in terms of centrality and density.The thematic evolution structure presented the most important themes and how it changes over time.Lastly,we presented the main challenges and future opportunities of big data in healthcare.
文摘Microalgae cultivation is justified by the production of high-value fine chemicals and biofuels, essential to reduce the emissions of gases that cause global warming. This paper presents a study of the growth of microalgae Haematococcus pluvialis considering light conditions from 2000 to 10,000 lux, temperature 22?C and pH in the 6.5-12.5 range. The experiments were performed in 4 liter flat plate photobioreactors using the Rudic culture medium. The biomass growth was measured by counting cells in a Neubauer chamber. Both the light intensity and the pH of the medium influenced the rate of growth of the microalgae. A model with exponential behavior was proposed to describe the production of microalgae biomass over time. A nonlinear autoregressive model based on an Artificial Neural Network was used to predict the dynamic behavior of the pH during the growth of the microalgae at different light intensities. Simulations were carried out to analyze the behavior of biomass production at other light intensities within the range considered.
