COVID-19 Pandemic and Democratic Dilemma : An Evidence from Global Data Analysis

2021 ◽  
Vol 29 (4) ◽  
pp. 207-238
Author(s):  
Young-Hark Byun
Keyword(s):  
Data Analysis ◽  
Democratic Dilemma ◽  
Global Data

Infrastructures and Ionograms

2017 ◽  
Keyword(s):  
Data Analysis ◽  
Mass Production ◽  
Automated System ◽  
Natural Order ◽  
The Core ◽  
Ground Station ◽  
Data Flows ◽  
The World ◽  
Formed Part ◽  
Global Data

This chapter explores how the Alouette satellite’s reorientation of global data flows and mass-production of ionograms altered the natural order at the core of DRTE’s research. The satellite’s unexpected reliability demanded an automated system of data analysis. Automation, when applied to the ionogram, effaced the complexity used to characterize the ionosphere above Canada and explain violent communications disruptions. The chapter first analyzes the debates over the organization of the satellite’s global ground station network, the control of the satellite, the collaboration with NASA, and the sharing of data. It then examines how these considerations formed part of the technical design of the satellite, and specifically how they required a system for mass-producing ionograms from global data gathered around the world. The chapter’s final section focuses on the resulting problems of data analysis that this system produced and the new reading techniques devised to analyze the overwhelming number of records.

Exploring mechanism of enzyme catalysis by on-chip transient kinetics coupled with global data analysis and molecular modeling

Chem ◽  
2021 ◽  
Author(s):  
David Hess ◽  
Veronika Dockalova ◽  
Piia Kokkonen ◽  
David Bednar ◽  
Jiri Damborsky ◽  
...  
Keyword(s):  
Data Analysis ◽  
Molecular Modeling ◽  
Enzyme Catalysis ◽  
Transient Kinetics ◽  
On Chip ◽  
Global Data

scholarly journals Soil hydromorphy and soil carbon: A global data analysis

Geoderma ◽  
2018 ◽  
Vol 324 ◽  
pp. 9-17 ◽  
Author(s):  
D. Amendola ◽  
M. Mutema ◽  
V. Rosolen ◽  
V. Chaplot
Keyword(s):  
Data Analysis ◽  
Soil Carbon ◽  
Global Data

scholarly journals Scanning-Fit Analysis of fs-Spectroscopic Data

2000 ◽  
Vol 18 (4) ◽  
pp. 203-217 ◽  
Author(s):  
Mark Bischoff ◽  
Gregor Stobrawa ◽  
Sabine Rentsch
Keyword(s):  
Data Analysis ◽  
Spectroscopic Data ◽  
Simulated Data ◽  
Relaxation Processes ◽  
Molecular Relaxation ◽  
Nuclear Dynamics ◽  
Pump Probe ◽  
Time Constants ◽  
Global Data

The scanning-fit method was developed for the global data analysis of pump-probe data. This method is useful in cases when pulse durations are adjusted to be short compared with nuclear dynamics and long compared with the dephasing timescales. Then multiexponential functions can be used to describe the mono molecular relaxation processes and the scanning-fit method increases the accuracy of the calculated time constants, yields detailed information about their ranges of confidence and their dependency from each other. In this paper we describe the method in detail and demonstrate its application to simulated data. Additionally, we report about the results which were obtained from scanning-fit analysis in case of the photoisomerization of pinacyanol and the light induced processes in phycocyanobilin.

Spatial–Temporal Traffic Data Analysis Based on Global Data Management Using MAS

2004 ◽  
Vol 5 (4) ◽  
pp. 267-275 ◽  
Author(s):  
H.-S. Zhang ◽  
Y. Zhang ◽  
Z.-H. Li ◽  
D.-C. Hu
Keyword(s):  
Data Analysis ◽  
Data Management ◽  
Traffic Data ◽  
Global Data
Sign in / Sign up

Export Citation Format

Share Document