A large survey of electron acceleration events

1996 ◽  
Vol 101 (A2) ◽  
pp. 2599-2614 ◽  
Author(s):  
Patrick T. Newell ◽  
Kevin M. Lyons ◽  
Ching-I. Meng
Keyword(s):  
Electron Acceleration ◽  
Large Survey

Correction to “A large survey of electron acceleration events” by Patrick T. Newell et al.

1996 ◽  
Vol 101 (A11) ◽  
pp. 25003-25003 ◽  
Author(s):  
Patrick T. Newell ◽  
Kevin M. Lyons ◽  
Ching-I. Meng
Keyword(s):  
Electron Acceleration ◽  
Large Survey

Correction to “A large survey of electron acceleration events” by Patrick T. Newell et al.

1996 ◽  
Vol 101 (A9) ◽  
pp. 19941-19941 ◽  
Author(s):  
Patrick T. Newell ◽  
Kevin M. Lyons ◽  
Ching-I. Meng
Keyword(s):  
Electron Acceleration ◽  
Large Survey

Electron Acceleration by Magnetic Reconnection During Spherical Tokamak Merging Experiment

2013 ◽  
Vol 133 (4) ◽  
pp. 166-172 ◽  
Author(s):  
Shuji Kamio ◽  
Kotaro Yamasaki ◽  
Koichiro Takemura ◽  
Qinghong Cao ◽  
Takenori G. Watanabe ◽  
...  
Keyword(s):  
Magnetic Reconnection ◽  
Electron Acceleration ◽  
Spherical Tokamak

Inverse-synchrotron-radiation electron acceleration.

1990 ◽  
Vol 2 (3) ◽  
pp. 185-188
Author(s):  
Hiroaki Watanabe ◽  
Atushi Manabe ◽  
Shigeo Kawata
Keyword(s):  
Synchrotron Radiation ◽  
Electron Acceleration

Monitoring of the Electron-Acceleration Region with Auroral Kilometric Radiation

2020 ◽  
Vol 60 (5) ◽  
pp. 538-546
Author(s):  
D. V. Chugunin ◽  
A. A. Chernyshov ◽  
I. L. Moiseenko ◽  
M. E. Viktorov ◽  
M. M. Mogilevsky
Keyword(s):  
Electron Acceleration ◽  
Acceleration Region ◽  
Auroral Kilometric Radiation

scholarly journals The fourth industrial revolution and labour market regulation in Singapore

2020 ◽  
Vol 31 (3) ◽  
pp. 347-363
Author(s):  
Peter Waring ◽  
Azad Bali ◽  
Chris Vas
Keyword(s):  
Artificial Intelligence ◽  
Labour Market ◽  
Industrial Revolution ◽  
Autonomous Systems ◽  
Market Regulation ◽  
Jel Codes ◽  
Fourth Industrial Revolution ◽  
Labour Market Regulation ◽  
Social Safety Nets ◽  
Large Survey

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections. JEL Codes: J88, K31, O38, M53

Large Survey Camera Collimation and Alignment at the Observation Site by Curvature Sensing

Optik ◽  
2021 ◽  
pp. 167273
Author(s):  
Qichang An ◽  
Xiaoxia Wu ◽  
Xudong Lin ◽  
Jianli Wang ◽  
Tao Chen ◽  
...  
Keyword(s):  
Observation Site ◽  
Curvature Sensing ◽  
Large Survey

scholarly journals The role of race, religion, and partisanship in misperceptions about COVID-19

2021 ◽  
Vol 24 (4) ◽  
pp. 638-657
Author(s):  
James N. Druckman ◽  
Katherine Ognyanova ◽  
Matthew A. Baum ◽  
David Lazer ◽  
Roy H. Perlis ◽  
...  
Keyword(s):  
Lived Experiences ◽  
Media Exposure ◽  
Group Level ◽  
Political Issues ◽  
The Public ◽  
Media Usage ◽  
Targeted Interventions ◽  
Large Survey ◽  
Racial Ethnic

Concerns about misperceptions among the public are rampant. Yet, little work explores the correlates of misperceptions in varying contexts – that is, how do factors such as group affiliations, media exposure, and lived experiences correlate with the number of misperceptions people hold? We address these questions by investigating misperceptions about COVID-19, focusing on the role of racial/ethnic, religious, and partisan groups. Using a large survey, we find the number of correct beliefs held by individuals far dwarfs the number of misperceptions. When it comes to misperceptions, we find that minorities, those with high levels of religiosity, and those with strong partisan identities – across parties – hold a substantially greater number of misperceptions than those with contrasting group affiliations. Moreover, we show other variables (e.g., social media usage, number of COVID-19 cases in one’s county) do not have such strong relationships with misperceptions, and the group-level results do not reflect acquiescence to believing any information regardless of its truth value. Our results accentuate the importance of studying group-level misperceptions on other scientific and political issues and developing targeted interventions for these groups.

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