scholarly journals Dynamic Model Study and Analysis of DME Auto-Thermal Steam Reforming Reaction

2015 ◽  
Vol 03 (05) ◽  
pp. 89-95 ◽  
Author(s):  
Yan Gao ◽  
Cong Li
Keyword(s):  
Dynamic Model ◽  
Steam Reforming ◽  
Model Study

scholarly journals Investigations on the Control of COVID-19 and Suggestions for Re-Open Based on Model Study

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 22
Author(s):  
Yongxue Chen ◽  
Jiayu Shen ◽  
Shijing Li ◽  
Yongxian Wen
Keyword(s):  
Dynamic Model ◽  
Incubation Period ◽  
High Probability ◽  
Reproduction Number ◽  
Social Disruption ◽  
Model Study ◽  
Epidemic Period ◽  
Contact Tracking ◽  
At Home

Data-based analysis gives out an estimation of the incubation period. A dynamic model is established and discussed. Disease reproduction number reveals the high probability of COVID-19 pandemic, but strengthening the exposure of asymptomatic people will help to curb the transmission, and measures of contact-tracking and stay-at-home play a replaceable role. Discussions point out that social disruption can be avoided if the contact tracking rate can be more than 0.5. Investigations for re-opening show that a city of the same size as Wuhan can be reopened if new cases are continuously below 1000 for a few days and when they are less than 500, with the assurance of contact tracking associated with extensive testing. In short, tracking and testing are the prioritized strategies, while maintaining awareness can shorten the epidemic period and mobility restrictions can be avoided.

A Steady-State Model of a Side-Fired Reformer

1970 ◽  
Vol 3 (5) ◽  
pp. T73-T76 ◽  
Author(s):  
R. Ganderton ◽  
K. R. Godfrey ◽  
L. Finkelstein
Keyword(s):  
Steady State ◽  
Dynamic Model ◽  
Steam Reforming ◽  
Radiation Treatment ◽  
State Model ◽  
Convection Term ◽  
Gas Radiation ◽  
Steady State Model ◽  
Furnace Gases ◽  
Plant Data

A steady-state model of a side-fired steam reforming furnace is formulated. Both a grey gas radiation and a single-band radiation treatment of the furnace are given, and an estimate of the convection term is included. The model compares very favourably with available plant data, and indicates the validity of the assumption that the furnace gases are well-mixed. The structure of the dynamic model of the reformer and the engineering approximations used to simplify the equations are re-examined.

Short-term volume and turgor regulation in yeast

2008 ◽  
Vol 45 ◽  
pp. 147-160 ◽  
Author(s):  
Jörg Schaber ◽  
Edda Klipp
Keyword(s):  
Dynamic Model ◽  
Volume Change ◽  
Volume Regulation ◽  
Time Course ◽  
Osmotic Shock ◽  
Intracellular Concentration ◽  
Short Term ◽  
Hydrodynamic Property ◽  
Turgor Regulation ◽  
Thermodynamic Framework

Volume is a highly regulated property of cells, because it critically affects intracellular concentration. In the present chapter, we focus on the short-term volume regulation in yeast as a consequence of a shift in extracellular osmotic conditions. We review a basic thermodynamic framework to model volume and solute flows. In addition, we try to select a model for turgor, which is an important hydrodynamic property, especially in walled cells. Finally, we demonstrate the validity of the presented approach by fitting the dynamic model to a time course of volume change upon osmotic shock in yeast.

Social Desirability in Personality Inventories

2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund
Keyword(s):  
Social Desirability ◽  
Big Five ◽  
Work Performance ◽  
Factor Model ◽  
Five Factor Model ◽  
Peer Ratings ◽  
Personality Inventories ◽  
Model Study ◽  
The Difference ◽  
New Variables

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.

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