Determining the Important Parameters in Biological Models using Numerical Parameter Compression

3D Models Recognition in Fourier Domain Using Compression of the Spherical Mesh up to the Models Surface

Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...

Parameter Estimation in Canonical Biological Systems Models

Dynamical models are the cornerstone of computational systems biology. While many methods are available for testing and simulating dynamical models, the estimation of their parameter values continues to be a difficult challenge. In recent years, this challenge has been addressed extensively for canonical models within Biochemical Systems Theory (BST), and while still no generally satisfactory s...

the most important demotivating factors among efl teachers in private english language institutes in mashhad

just as motivation is important in sla research, demotivation constitutes an important factor, too. there are many studies done on demotivation and burnout of teachers. many of these studies have been conducted on one or two aspects of english instruction. consequently, there are few studies which have been done on more than two aspects of english teaching. the aim of this study is to find out ...

Predictive Models Parameter Space Compression Underlies Emergent

, 604 (2013); 342 Science et al. Benjamin B. Machta Predictive Models Parameter Space Compression Underlies Emergent Theories and This copy is for your personal, non-commercial use only. clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to...

Determining important parameters related to cyanobacterial alkaloid toxin exposure.