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

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

2013 ◽  
Vol 133 (4) ◽  
pp. 166-172 ◽  
Author(s):  
Shuji Kamio ◽  
Kotaro Yamasaki ◽  
Koichiro Takemura ◽  
Qinghong Cao ◽  
Takenori G. Watanabe ◽  
...  

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

2020 ◽  
Vol 60 (5) ◽  
pp. 538-546
Author(s):  
D. V. Chugunin ◽  
A. A. Chernyshov ◽  
I. L. Moiseenko ◽  
M. E. Viktorov ◽  
M. M. Mogilevsky

2020 ◽  
Vol 31 (3) ◽  
pp. 347-363
Author(s):  
Peter Waring ◽  
Azad Bali ◽  
Chris Vas

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


Optik ◽  
2021 ◽  
pp. 167273
Author(s):  
Qichang An ◽  
Xiaoxia Wu ◽  
Xudong Lin ◽  
Jianli Wang ◽  
Tao Chen ◽  
...  

2021 ◽  
Vol 24 (4) ◽  
pp. 638-657
Author(s):  
James N. Druckman ◽  
Katherine Ognyanova ◽  
Matthew A. Baum ◽  
David Lazer ◽  
Roy H. Perlis ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document