A Study on Teaching Evaluation of Random Simulation Algorithm

2021 ◽  
pp. 974-977
Author(s):  
Yueyue Jiao
Keyword(s):  
Teaching Evaluation ◽  
Simulation Algorithm ◽  
Random Simulation

scholarly journals Uncertain random simulation algorithm with application to bottleneck assignment problem

2018 ◽  
Vol 23 (21) ◽  
pp. 10977-10982
Author(s):  
Sibo Ding ◽  
Xiao-Jun Zeng ◽  
Huimin Zhang
Keyword(s):  
Assignment Problem ◽  
Simulation Algorithm ◽  
Random Simulation ◽  
Bottleneck Assignment Problem

A method for teaching evaluation of scientific articles in the dental literature

1972 ◽  
Vol 36 (11) ◽  
pp. 48-52 ◽  
Author(s):  
RS Kaslick ◽  
A Van Stewart ◽  
AI Chasens
Keyword(s):  
Teaching Evaluation

Toward improved models of college teaching evaluation: Instructor, student, and organizational influences

1972 ◽  
Author(s):  
Daniel N. Braunstein ◽  
Ralph Schillace ◽  
John Feldhusen ◽  
Ernest McDaniel ◽  
Frederic W. Widlak ◽  
...  
Keyword(s):  
College Teaching ◽  
Teaching Evaluation ◽  
Organizational Influences

Autómatas Celulares Aplicados al Comportamiento de Células de Cáncer Cervicouterino

2019 ◽  
Vol 6 (1) ◽  
pp. 44-49
Author(s):  
Tania Muñoz Jiménez ◽  
Aurora Torres Soto ◽  
María Dolores Torres Soto
Keyword(s):  
Cellular Automaton ◽  
Medical Model ◽  
Research Process ◽  
Simulation Algorithm ◽  
Stages Of Development ◽  
Literary Research ◽  
Migration Dynamics ◽  
Three Stages ◽  
And Migration ◽  
Best Parameters

En este documento se describe el desarrollo e implementación de un modelo para simular computacionalmente la dinámica del crecimiento y migración del cáncer cervicouterino, considerando sus principales características: proliferación, migración y necrosis, así como sus etapas de desarrollo. El modelo se desarrolló mediante un autómata celular con enfoques paralelo y secuencial. El autómata celular se basó en el modelo de Gompertz para simular las etapas de desarrollo de este cáncer, el cual se dividió en tres etapas cada una con diferentes comportamientos durante la simulación. Se realizó un diseño experimental con parámetros de entrada que se seleccionaron a partir de la investigación literaria y su discusión con médicos expertos. Al final del proceso de investigación, se logró obtener un algoritmo computacional de simulación muy bueno comparado con el modelo médico de Gompertz y se encontraron los mejores parámetros para su ejecución mediante un diseño factorial soportado estadísticamente. This paper describes the development and implementation of a model to computationally simulate the growth and migration dynamics of cervical cancer, considering its main characteristics: proliferation, migration and necrosis, as well as its stages of development. The model was developed by means of a cellular automaton with parallel and sequential approaches. The cellular automaton was based on the model of Gompertz to simulate the stages of development of this cancer, which was divided into three stages, each with different behaviors during the simulation. An experimental design was carried out with input parameters that were selected from literary research and its discussion with expert physicians. At the end of the research process, a very good simulation algorithm was obtained compared to the Gompertz medical model and the best parameters for its execution were found by means of a statistically supported factorial design.

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