We have recently shown that kidney-derived stem cells (KSCs) isolated from the mouse newborn kidney differentiate into a range of kidney-specific cell types. However, the functionality and integration capacity of these mouse KSCs remain unknown. Therefore, the main objectives of this study were (1) to determine if proximal tubule-like cells, generated in vitro from KSCs, displayed absorptive fu...

Epidermal human keratinocytes are exposed to a wide range of environmental genotoxic insults, including the UV component of solar radiation. Epidermal homeostasis in response to cellular or tissue damage is maintained by a population of keratinocyte stem cells (KSC) that reside in the basal layer of the epithelium. Using cell sorting based on cell-surface markers, we have identified a novel α6 ...

The goal of this research is to find a computationally efficient and easy to use alternative to current approximation or direct Monte Carlo methods for robust design. More specifically, a new technique is sought to use selected deterministic analyses to obtain probability distributions for analyses with large inherent uncertainties. Two techniques for this task are investigated. The first uses ...

a thermodynamic analysis of the counter flow wet cooling tower (cwct) in the steelmaking unit of the khuzestan steel company (ksc) is performed in this paper. we evaluated both energy and exergy formulations for analyzing the heat and mass transfer, exergy and second-law efficiency in this cooling tower. the lewis factor le f is an indication of the relative rates of heat and mass transfer in a...

With the development of deep learning, the performance of hyperspectral image (HSI) classification has been greatly improved in recent years. The shortage of training samples has become a bottleneck for further improvement of performance. In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral image data, called HSI-CNN. Firstly, the spe...

Based on local features, a new adaptive classification approach for multispectral remote sensing data is presented. Typical classification techniques based on global features tend to degrade because all classes are projected along the same direction, e.g. the principal component direction for Principal Component Analysis (PCA) and minimum momponent direction for Minimum Component Analysis (MCA)...