Development and validation of mathematical modeling for terminal velocity of cantaloupe

2019 ◽  
Vol 42 (3) ◽  
pp. e13000 ◽  
Author(s):  
Mehdi Moradi ◽  
Amin Mousavi Khaneghah ◽  
Majid Parvaresh ◽  
Hossein Balanian
Keyword(s):  
Mathematical Modeling ◽  
Terminal Velocity ◽  
Development And Validation

Mathematical Modeling of Multipass Hot Deformation of Aluminum Alloy AA5083—Model Development and Validation

2007 ◽  
Vol 38 (4) ◽  
pp. 922-935 ◽  
Author(s):  
H. Ahmed ◽  
M.A. Wells ◽  
D.M. Maijer ◽  
G. Lockhart ◽  
M.R. Van der Winden
Keyword(s):  
Mathematical Modeling ◽  
Aluminum Alloy ◽  
Hot Deformation ◽  
Model Development ◽  
Development And Validation

Dynamic Mathematical Modeling of an Isothermal Three-Phase Reactor: Model Development and Validation

2003 ◽  
Vol 129 (7) ◽  
pp. 586-594 ◽  
Author(s):  
J. Yang ◽  
D. W. Hand ◽  
J. C. Crittenden ◽  
D. R. Hokanson ◽  
E. J. Oman ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Model Development ◽  
Reactor Model ◽  
Three Phase ◽  
Development And Validation

scholarly journals Some Workout Problems on Motion of Raindrop

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Sneha Dey ◽  
Amitava Ghorai
Keyword(s):  
Mathematical Modeling ◽  
Close Agreement ◽  
Classical Problem ◽  
Terminal Velocity ◽  
Air Resistance ◽  
Rain Drop

The motion of rain drop through atmosphere is an interesting classical problem because of the fact that air resistance and moisture accretion are integral part of it. Mathematical modeling of it using Newtonian formalism is considered here and discussions are made for no mass accretion and air resistance proportional to nth power of velocity. We use python program and library extensively to find the terminal velocity of rain drop. Graphs show close agreement and velocity power up to n=3 is good.

18: Measuring Quality-of-Life after Surgery: Development and Validation of the Convalescence and Recovery Evaluation (CARE)

2007 ◽  
Vol 177 (4S) ◽  
pp. 7-7
Author(s):  
Brent K. Hollenbeck ◽  
J. Stuart Wolf ◽  
Rodney L. Dunn ◽  
Martin G. Sanda ◽  
David P. Wood ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Development And Validation

Development of the Teacher Attitudes Towards Self-Regulated Learning Scale

2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger
Keyword(s):  
Factor Analysis ◽  
Primary School ◽  
Factor Structure ◽  
Concurrent Validity ◽  
Binary Logistic Regression ◽  
Affective Component ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Teachers Attitudes ◽  
Development And Validation

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.

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