Euler's formula and phase rule

1990 ◽  
Vol 5 (4) ◽  
pp. 381-387 ◽  
Author(s):  
T. P. Radhakrishnan
Keyword(s):  
Phase Rule ◽  
Euler’S Formula

Gibbs' phase rule and Euler's formula

1962 ◽  
Vol 39 (10) ◽  
pp. 512 ◽  
Author(s):  
Joseph Mindel
Keyword(s):  
Phase Rule ◽  
Gibbs Phase Rule ◽  
Euler’S Formula

Interpretation of the Gibbs Phase Rule in the Presence of a Block Copolymer

1977 ◽  
Vol 10 (4) ◽  
pp. 870-871 ◽  
Author(s):  
Sonja Krause
Keyword(s):  
Block Copolymer ◽  
Phase Rule ◽  
Gibbs Phase Rule

Phase Rule Equilibria of Acid Soaps. I. Anhydrous Acid Potassium Laurate.

1933 ◽  
Vol 37 (6) ◽  
pp. 675-684 ◽  
Author(s):  
James W. Mcbain ◽  
Malcolm C. Field
Keyword(s):  
Phase Rule ◽  
Potassium Laurate

The Gibbs Phase Rule

2018 ◽  
pp. 341-355
Author(s):  
James F. Pankow
Keyword(s):  
Phase Rule ◽  
Gibbs Phase Rule

scholarly journals Exponential Functions with Base e in Growth Analysis and Deriving Them from Rotations of Axes of Time Described using Euler's Formula

10.5109/4527 ◽  
2003 ◽  
Vol 48 (1/2) ◽  
pp. 65-69
Author(s):  
Masataka Shimojo ◽  
Kentaro Ikeda ◽  
Yoki Asano ◽  
Reiko Ishiwaka ◽  
Tao Shao ◽  
...  
Keyword(s):  
Growth Analysis ◽  
Exponential Functions ◽  
Euler’S Formula

scholarly journals Complex Representatioin of Field-Forage-Ruminant Relationships using Symmetric Properties of Euler's Formula

10.5109/4507 ◽  
2003 ◽  
Vol 47 (2) ◽  
pp. 367-372
Author(s):  
Masataka Shimojo ◽  
Kentaro Ikeda ◽  
Yoki Asano ◽  
Reiko Ishiwaka ◽  
Tao Shao ◽  
...  
Keyword(s):  
Euler’S Formula ◽  
Symmetric Properties

scholarly journals The Effect of Governmental Health Measures on Public Behaviour During the COVID-19 Pandemic Outbreak

2021 ◽  
Author(s):  
Guoyan Wang ◽  
Li Li ◽  
Lingfei Wang ◽  
Zhi Xu
Keyword(s):  
United States ◽  
Local Governments ◽  
Large Scale ◽  
New York State ◽  
The United States ◽  
Average Score ◽  
Phase Rule ◽  
The Public ◽  
Health Measures ◽  
Epidemic Area

Background: The COVID-19 pandemic resulted in radical changes in many aspects of life. To deal with this, each country has implemented continuous health measures from the beginning of the outbreak. Discovering how governmental actions impacted public behaviour during the outbreak stage is the purpose of this study. Methods: This study uses a hybrid large-scale data visualisation method to analyse public behaviour (epidemic concerns, self-protection, and mobility trends), using the data provided by multiple authorities. Meanwhile, a content analysis method is used to qualitatively code the health measures of three countries with severe early epidemic outbreaks from different continents, namely China, Italy, and the United States. Eight dimensions are coded to rate the mobility restrictions implemented in the above countries. Results: (1) Governmental measures did not immediately persuade the public to change their behaviours during the COVID-19 epidemic. Instead, the public behaviour proceeded in a three-phase rule, which is typically witnessed in an epidemic outbreak, namely the wait-and-see phase, the surge phase and the slow-release phase. (2) The strictness of the mobility restrictions of the three countries can be ranked as follows: Hubei Province in China (with an average score of 8.5 out of 10), Lombardy in Italy (7.125), and New York State in the United States (5.375). Strict mobility restrictions are more likely to cause a surge of population outflow from the epidemic area in the short term, whereas the effect of mobility restrictions is positively related to the stringency of policies in the long term. Conclusion: The public showed generally lawful behaviour during regional epidemic outbreaks and blockades. Meanwhile public behaviour was deeply affected by the actions of local governments, rather than the global pandemic situation. The contextual differences between the various countries are important factors that influence the effects of the different governments’ health measures.

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