Review of spatiotemporal analysis of laser-induced plasma in gases

2021 ◽  
Vol 179 ◽  
pp. 106122
Author(s):  
Christian G. Parigger
Keyword(s):  
Spatiotemporal Analysis ◽  
Laser Induced Plasma

Novel Spatiotemporal Analysis for Exploring a-Cell Differentiation

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2128-P
Author(s):  
MIWA HIMURO ◽  
TAKESHI MIYATSUKA ◽  
LUKA SUZUKI ◽  
MASAKI MIURA ◽  
TAKEHIRO KATAHIRA ◽  
...  
Keyword(s):  
Cell Differentiation ◽  
Spatiotemporal Analysis ◽  
A Cell

Spatiotemporal Analysis of AIDS Incidence Among Adults in Brazil

2016 ◽  
Vol 14 (6) ◽  
pp. 466-475 ◽  
Author(s):  
Elisangela Aparecida da Silva Lizzi ◽  
Altacilio Aparecido Nunes ◽  
Edson Zangiacomi Martinez
Keyword(s):  
Spatiotemporal Analysis

scholarly journals Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Liu ◽  
Dongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Population Density ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Spatiotemporal Analysis ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Short Time ◽  
Effective Public Health ◽  
Global And Local ◽  
Spatial Transmission

AbstractFew study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods. We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed obvious global aggregation and local aggregation. In addition, the analysis at streets-level suggested population density and the number of hospitals were associated with COVID-19 cases number. The epidemic situation showed obvious global and local spatial aggregations. High population density with larger number of hospitals may account for the aggregations. The epidemic in Wuhan was under control in a short time after strong quarantine measures and restrictions on movement of residents were implanted.

scholarly journals Spatiotemporal analysis of the runaway distribution function from synchrotron images in an ASDEX Upgrade disruption

2021 ◽  
Vol 87 (1) ◽  
Author(s):  
M. Hoppe ◽  
L. Hesslow ◽  
O. Embreus ◽  
L. Unnerfelt ◽  
G. Papp ◽  
...  
Keyword(s):  
Radial Profile ◽  
Spatiotemporal Analysis ◽  
High Energy ◽  
Synchrotron Emission ◽  
Analytic Model ◽  
Runaway Electrons ◽  
Radial Density ◽  
Radial Density Profile ◽  
Argon Injection ◽  
Seed Population

Synchrotron radiation images from runaway electrons (REs) in an ASDEX Upgrade discharge disrupted by argon injection are analysed using the synchrotron diagnostic tool Soft and coupled fluid-kinetic simulations. We show that the evolution of the runaway distribution is well described by an initial hot-tail seed population, which is accelerated to energies between 25–50 MeV during the current quench, together with an avalanche runaway tail which has an exponentially decreasing energy spectrum. We find that, although the avalanche component carries the vast majority of the current, it is the high-energy seed remnant that dominates synchrotron emission. With insights from the fluid-kinetic simulations, an analytic model for the evolution of the runaway seed component is developed and used to reconstruct the radial density profile of the RE beam. The analysis shows that the observed change of the synchrotron pattern from circular to crescent shape is caused by a rapid redistribution of the radial profile of the runaway density.

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