scholarly journals Preface: 6th Astechnova International Energy Conference (ASTECHNOVA 2021)

2021 ◽  
Vol 927 (1) ◽  
pp. 011001
Keyword(s):  
United States ◽  
South Korea ◽  
United Arab Emirates ◽  
United States Of America ◽  
Steering Committee ◽  
Editorial Team ◽  
Parallel Session ◽  
Joint Conference ◽  
Panel Session ◽  
Energy Efficiency And Conservation

Astechnova International Energy Conference (ASTECHNOVA) is an international conference that is annually organized by the Department of Nuclear Engineering and Engineering Physics, Universitas Gadjah Mada, Indonesia. This 6th ASTECHNOVA was virtually held on 24-25 August 2021 as a part of the Joint Conference EPIC-ASTECHNOVA 2021. This conference provides an ideal platform for the researchers, academicians, engineers, politicians, economists, energy enthusiasts, energy planners, and energy analysts, to share the recent research and development in the energy science discipline from various perspectives. The topics covered in this conference can be generally categorized in five (5) areas, namely new and renewable energy, energy efficiency and conservation, nuclear technology, energy security, and urban infrastructure and utilities. The joint conference was attended by approximately 500 participants from various universities and institution in Taiwan, Bangladesh, Germany, India, Japan, South Korea, Malaysia, Thailand, Canada, United States of America, Singapore, and Indonesia. The panel session of this conference includes one (1) keynote lecture and six (6) invited talks by the panel speakers from across the globe, including Japan, United States of America, United Arab Emirates, South Korea, and Indonesia. As for the parallel session, oral presentations were delivered by the authors who submit their researches. In total, ASTECHNOVA 2021 organizer accepted 48 paper submissions after reviewed by distinguished experts in the field. The reviewing process has considerably reduced the number of published papers, but it also has raised the proceedings’ quality. Finally, we would like to thank all the participants, authors, panel speakers, reviewers, panel session moderators, parallel session chairs, steering committee, organizing committee, technical coordinators, and all other supporting staff for their tremendous support during this conference. Astechnova 2021 Editorial Team List of Foreword from Rector of Universitas Gadjah Mada, Foreword from Acting Director for Non-Aligned Movement Centre for South-South Technical Cooperation (NAM CSSTC), List of Committees are available in this pdf.

scholarly journals The Estimated Time-Varying Reproduction Numbers during the Ongoing Pandemic of the Coronavirus Disease 2019 (COVID-19) in 12 Selected Countries outside China

2020 ◽  
Author(s):  
Fu-Chang Hu
Keyword(s):  
Infectious Disease ◽  
United States ◽  
South Africa ◽  
South Korea ◽  
United States Of America ◽  
Estimation Method ◽  
The United States ◽  
Time Varying ◽  
Epidemic Curve ◽  
Almost All

Background: How can we anticipate the progression of the ongoing pandemic of the coronavirus disease 2019 (COVID-19)? As a measure of transmissibility, we aimed to estimate concurrently the time-varying reproduction number, R0(t), over time during the COVID-19 pandemic for each of the following 12 heavily-attacked countries: Singapore, South Korea, Japan, Iran, Italy, Spain, Germany, France, Belgium, United Kingdom, the United States of America, and South Africa. Methods: We downloaded the publicly available COVID-19 pandemic data from the WHO COVID-19 Dashboard website (https://covid19.who.int/) for the duration of January 11, 2020 and May 1, 2020. Then, we specified two plausible distributions of serial interval to apply the novel estimation method implemented in the incidence and EpiEstim packages to the data of daily new confirmed cases for robustly estimating R0(t) in the R software. Results: We plotted the epidemic curves of daily new confirmed cases for the 12 selected countries. A clear peak of the epidemic curve appeared in 10 of the 12 selected countries at various time points, and then the epidemic curve declined gradually. However, the United States of America and South Africa happened to have two or more peaks and their epidemic curves either reached a plateau or still climbed up. Almost all curves of the estimated R0(t) monotonically went down to be less than or close to 1.0 up to April 30, 2020 except Singapore, South Korea, Japan, Iran, and South Africa, of which the curves surprisingly went up and down at various time periods during the COVID-19 pandemic. Finally, the United States of America and South Africa were the two countries with the approximate R0(t) ≥ 1.0 at the end of April, and thus they were now facing the harshest battles against the coronavirus among the 12 selected countries. By contrast, Spain, Germany, and France with smaller values of the estimated R0(t) were relatively better than the other 9 countries. Conclusion: Seeing the estimated R0(t) going downhill speedily is more informative than looking for the drops in the daily number of new confirmed cases during an ongoing epidemic of infectious disease. We urge public health authorities and scientists to estimate R0(t) routinely during an epidemic of infectious disease and to report R0(t) daily to the public until the end of the epidemic.

Export of Tea from India: Performance and Determinants

2021 ◽  
Keyword(s):  
United States ◽  
United Kingdom ◽  
United Arab Emirates ◽  
United States Of America ◽  
Linear Regression Analysis ◽  
Export Price ◽  
Analytical Techniques ◽  
The United States ◽  
Annual Growth Rate ◽  
Adf Test

The study analyzed the trends in growth, instability, competitiveness, and determinants of tea export from India from 2001 to 2018. The analytical techniques applied in the study wereCompound Annual Growth Rate (CAGR), Nominal Protection Coefficient (NPC), Augmented Dickey-Fuller (ADF) test, and multiple linear regression analysis. The major importing countries of tea export from India were the Russian Federation, United Arab, United Kingdom, Iran, and United States of America. The CAGR in terms of tea export value to major importing countries was positive and significant in Russia, Iran, the United States of America, and the United Kingdom.The instability index was found to be more in United Kingdom (23.78percent), followed by the United Arab Emirates (22.86percent), Russia (15.35percent),the United States of America (7.89percent), andIran (6.26percent).NPCindicated that tea was a competitive export product from India, but its competitiveness decreased during the study period. The estimated regression model of determinants of tea export showed a positive and significant relationship with international price and export price. The other three variables, such as exchange rate, domestic consumption, and lagged production, were non-significant.

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