objective(s) bone marrow is the traditional source of human multipotent mesenchymal stem cells (mscs), but adipose tissue appears to be an alternative and more readily available source. in this study, rat adipose-derived stem cells (adscs) were induced to differentiate into schwann-like cells and compared with rat bone marrow stem cells (bmscs) for their schwann-like cells differentiation poten...

BACKGROUND Previous studies have shown ketamine can alter the proliferation and differentiation of neural stem cells (NSCs) in vitro. However, these effects have not been entirely clarified in vivo in the subventricular zone (SVZ) of neonatal rats. The present study was designed to investigate the effects of ketamine on the proliferation and differentiation of NSCs in the SVZ of neonatal rats i...

T cell differentiation relies on pre-T cell receptor (TCR) and TCR signaling events that take place at successive steps of the pathway. Here, we show that two of these T cell differentiation checkpoints are regulated by Ikaros. In the absence of Ikaros, double negative thymocytes can differentiate to the double positive stage without expression of a pre-TCR complex. Subsequent events in T cell ...

This paper describes a preliminary investigation into the use of normal form theory for modelling large non-linear dynamical systems. Limit cycle oscillations are determined for simple two-degree-of-freedom double pendulum systems. The double pendulum system is reduced into its centre manifold before computing normal forms. Normal forms are obtained using a period averaging method which is appl...

Objective(s) Bone marrow is the traditional source of human multipotent mesenchymal stem cells (MSCs), but adipose tissue appears to be an alternative and more readily available source. In this study, rat adipose-derived stem cells (ADSCs) were induced to differentiate into Schwann-like cells and compared with rat bone marrow stem cells (BMSCs) for their Schwann-like cells differentiation pote...

‎‎In this paper, Solvability nonlinear Volterra integral equations with general vanishing delays is stated. So far sinc methods for approximating the solutions of Volterra integral equations have received considerable attention mainly due to their high accuracy. These approximations converge rapidly to the exact solutions as number sinc points increases. Here the numerical solution of nonlinear...

The main contribution of the present paper is to train efficient neural networks for seismic design of double layer grids subject to multiple-earthquake loading. As the seismic analysis and design of such large scale structures require high computational efforts, employing neural network techniques substantially decreases the computational burden. Square-on-square double layer grids with the va...