Animal studies have shown that prenatal stress is able to induce long-lasting neurobiological and behavioral alterations in adult offspring. In spite of the facts that hippocampus is sensitive to early developmental influences and its known functional importance in learning and memory, few data are available on the effect of prenatal stress on the structure of hippocampus. Therefore, this study...

In this paper we present results of structural studies of compacting experimental systems of ductile grains in two and three dimensions. The high precision of our two-dimensional experiments enables a detailed study of the evolution of coordination numbers and local crystalline arrangements as a function of the packing fraction. The structure in both dimensions deviates considerably from that o...

A top-down, step-wise progressive computing model is presented as a mode of granular computing. Based on a multilevel granular structure, progressive computing explores a sequence of refinements from coarser information granulation to finer information granulation. A basic progressive computing algorithm is introduced. Examples of progressive computing are provided.

The numerical simulation of granular systems of even moderate size is a challenging computational problem. In most investigations, either Molecular Dynamics or Event-driven Molecular Dynamics is applied. Here we show that in certain cases, mainly (but not exclusively) for static granular packings, the Bottom-to-top Reconstruction method allows for the efficient simulation of very large systems....

Hierarchy plays a crucial role in the development of the granular computing(GrC). Presently, a lot of hierarchies have been studied for characterizing the finer or coarser relationships among information granulations, which are derived from the crisp binary relations. To further improve the existing results, not only the fuzzy information granulations derived from the fuzzy binary relations are...