This article presents a bibliometric analysis of scientific publications investigating technological megatrends at the societal level, through the parallel analysis of 549 documents from Scopus and 291 documents in Web of Science (WoS) using the VOSviewer software and the Excel component of the MS Office 365 package. The main purpose of this study was to obtain an overview of the evolution of the research on the subject of technological megatrends from the perspective of interest, domains, geographical areas, sources, authors and cocitation networks, research clusters of countries, and cluster-related concepts. The results showed that publications on technological megatrends started in 1982, but from a scientific point of view they started in 1983 (Scopus) and 1984 (WoS), and that they display an increasing trend after 2010. Technological Forecasting and Social Change, Nature, SAE Technical Papers, VDI Berichte, Harvard Business Review, Advances in Intelligent Systems and Computing, and Sustainability represent the most important sources, and Gibbs, Kraemer, Dedrick, Kim, Chmiela, Sauceda, Müller, Tkatchenko, Pratt, Sarmiento, Montes, Ogilvie, Marcus, Perez, Brownson, D. Mourtzis, M. Doukas, and Bernidaki are the most notorious researchers in the field. At the societal level, technological megatrends are closely related to foresight, globalization, industry 4.0, the internet of things, digitalization, technology, artificial intelligence, innovation, the future, and sustainability. This study is original and useful for researchers in the context of the lack of similar studies on this subject.

In this study, an improved geographically and temporally weighted regression (IGTWR) model for the estimation of hourly PM2.5 concentration data was applied over central and eastern China in 2017, based on Himawari-8 Advanced Himawari Imager (AHI) data. A generalized distance based on the longitude, latitude, day, hour, and land use type was constructed. AHI aerosol optical depth, surface relative humidity, and boundary layer height (BLH) data were used as independent variables to retrieve the hourly PM2.5 concentrations at 1:00, 2:00, 3:00, 4:00, 5:00, 6:00, 7:00, and 8:00 UTC (Coordinated Universal Time). The model fitting and cross-validation performance were satisfactory. For the model fitting set, the correlation coefficient of determination (R2) between the measured and predicted PM2.5 concentrations was 0.886, and the root-mean-square error (RMSE) of 437,642 samples was only 12.18 µg/m3. The tenfold cross-validation results of the regression model were also acceptable; the correlation coefficient R2 of the measured and predicted results was 0.784, and the RMSE was 20.104 µg/m3, which is only 8 µg/m3 higher than that of the model fitting set. The spatial and temporal characteristics of the hourly PM2.5 concentration in 2017 were revealed. The model also achieved stable performance under haze and dust conditions.

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In an ideal world, computers will blend into the landscape, will inform but not overburden you with information, and make you aware of them only when you need them.

The information society, knowledge-based society, and the new knowledge-based economy are three concepts that have been discussed in specialized literature for a long time. We define the information society as a society based on information, the society based on knowledge as a society based on filtered information, and the new economy as an economy in which both information and knowledge are production factors for the purpose of increasing national wealth.In the modern sense, we may date the knowledge-based society from the first use of computers in economic activity, which began with the building of ENIAC in 1947. John Naisbitt places the beginning of the information-based society in the mid-1950s, when the number of white-collar workers in the United States first exceeded that of blue-collar workers.It is no news that nowadays the computer is omnipresent, in all fields of activity. More than 60% of the gross domestic product of the United States, Great Britain, and Japan, and some other countries are generated by the efforts of over half of each country's active population working di- AbstractOver the last 50 years, technological development has been significantly influenced by computers and associated technologies. The massive investments made in information technology and communication development have benefitted all the world's economies, and especially the interconnected ones. All business areas have therefore adopted computers as an indispensable tool, and all economic and social processes have come to rely on computers for support and intermediation.The education field has been, and will continue to be, receptive to the evolutions of information-and communications-related technologies. Educators will use them on a wide scale in projects such as e-books, e-learning, university networks, and digital libraries. Technological miniaturization and steady improvements in performance have resulted in the abandonment of classical technologies (white chalk, blackboard, paper, pencil, etc.) and their extensive replacement by PC tablet, video projectors, intelligent boards, e-pen, and other new applications.According to various authors, deculturalization is one megatrend predictable for the longterm future of human society. Information technologies and communication will become increasingly omnipresent and will progressively acquire calm technology characteristics.