نتایج جستجو برای: modeling growth
تعداد نتایج: 1192243 فیلتر نتایج به سال:
In recent years, there has been a growing interest among researchers in the use of latent class and growth mixture modeling techniques for applications in the social and psychological sciences, in part due to advances in and availability of computer software designed for this purpose (e.g., Mplus and SAS Proc Traj). Latent growth modeling approaches, such as latent class growth analysis (LCGA) ...
The present paper focuses on determining the most important factors affecting urban growth in large cities of Iran through modeling and comparing the common and diverse points of urban growth obtained from other studies. For this purpose, by reviewing the theoretical concepts associated with urban growth, quantities and measurable variables are developed as proper frameworks to study the influe...
Cellular automata (CA) modelling is one of the recent advances in spatial–temporal modeling techniques in the field of growth dynamics. Spatio-temporal modeling of growth patterns has gained more importance in the recent years especially in the field of crystal growth, urban growth, biological growth etc. It has become an interest for researchers to study the model on spatial and temporal dynam...
Introduction: Ovarian cancer is caused by malignant changes in the cells of the ovary. In various studies, cancer has been regarded as a biological system that has a set of characteristics; therefore, presenting a model of this system can considerably help to study and predict the phenomena related to the growth and spread of cancer. This study attempted to model and simulate the growth and spr...
Introduction: Ovarian cancer is caused by malignant changes in the cells of the ovary. In various studies, cancer has been regarded as a biological system that has a set of characteristics; therefore, presenting a model of this system can considerably help to study and predict the phenomena related to the growth and spread of cancer. This study attempted to model and simulate the growth and spr...
This paper proposes growth mixture modeling to assess intervention effects in longitudinal randomized trials. Growth mixture modeling represents unobserved heterogeneity among the subjects using a finite-mixture random effects model. The methodology allows one to examine the impact of an intervention on subgroups characterized by different types of growth trajectories. Such modeling is informat...
Stable ductile crack growth in 3 mm thick AISI 304 stainless steel specimens has been investigated experimentally and numerically. Multi-linear Isotropic Hardening method coupled with the Von-Mises yield criterion was adopted for modeling elasto-plastic behavior of the material. Mode-I CT fracture specimens have been tested to generate experimental load-displacement-crack growth data during sta...
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