The growth cone is a structure at the terminal of a neurite that plays an important role in the growth of the neurite. The growth cone collapse assay is considered to be a useful method to quantify the effects of various factors on nerve tissue. Here, we investigated the effect of x-irradiation on growth cones and neurites and also the comparative radiosensitivity of different neurons. Dorsal r...

approved: ____________________________________________________________ Adam Z. Higgins Freeze-drying, or lyophilization, has shown great promise in addressing many of the logistical challenges of storing and preserving red blood cells (RBCs). A crucial part of any future RBC lyophilization protocol is the primary drying temperature, which affects the sample drying rate and the dried cake’s abil...

Abstract Core-collapse simulations of massive stars are performed using the equation state (EOS) based on microscopic variational calculation with realistic nuclear forces. Progenitor models initial masses 15, 9.6, and 30 $M$? adopted as examples an ordinary core-collapse supernova a shock stall, low-mass successful explosion, black hole formation, respectively. Moreover, neutrinos emitted from...

Background: Several multiphase flow analyses have been developed to predict the fate of particles used in inhalation drug delivery; however, the collapse of droplets during their passage through respiratory tract has not been investigated. Objective: To assess the probability of droplet collapse in the upper respiratory tract.Methods: A 3D model of mouth-to-second generation airway after the tr...

Investigation of the effect of using nanomaterials for improving and Stabilizing the gypseous soil was carried out using laboratory works. The gypseous soils were collected from a site of intake in Bahar Al-Najaf and mixed with two types of nanomaterials (Nano-silica and, Nano-clay) where the nanomaterials were added in small amounts as a percent of the dry weight of the soil sample. Tests to d...

in recent years, the trend in solving optimization problems has been directed toward using heuristic algorithms such as neural networks, genetic and ant colony algorithms. the main reason for this trend can be attributed to the fact that these algorithms can be efficiently adjusted to the specific search space to which they are applied and consequently they can be used for many optimization pro...

Anisotropic hierarchical honeycombs of uniform wall-thickness are constructed by repeatedly replacing each three-edge vertex of a base hexagonal network with a similar but smaller hexagon of the same orientation, and stretching the resulting structure in horizontal or vertical directions to break the isotropy. The uniform overall thickness is then adjusted to maintain the constant average densi...

It is widely believed that structure in the Universe evolves hierarchically, as primordial density fluctuations, amplified by gravity, collapse and merge to form progressively larger systems. The structure and evolution of X-ray clusters, however, seems at odds with this hierarchical scenario for structure formation. Poor clusters and groups, as well as most distant clusters detected to date, a...

This study is devoted to seismic collapse safety analysis of performance based optimally seismic designed steel chevron braced frame structures. An efficient meta-heuristic algorithm namely, center of mass optimization is utilized to achieve the seismic optimization process. The seismic collapse performance of the optimally designed steel chevron braced frames is assessed by performing incremen...

We solve the nonlinear evolution of pressureless, irrotational density fluctuations in a perturbed Robertson-Walker spacetime using a new Lagrangian method based on the velocity gradient and gravity gradient tensors. Borrowing results from general relativity, we obtain a set of Newtonian ordinary differential equations for these quantities following a given mass element. Using these Lagrangian ...