Electromembrane extraction (EME) of the polar zwitterionic drugs, anthracyclines (ANT, doxorubicin, daunorubicin and its metabolite daunorubicinol), from rabbit plasma was investigated. The optimized EME compared to conventional sample pretreatment techniques such as protein precipitation (PP) liquid-liquid (LLE), mainly in terms reliability, recovery matrix effect. In addition, phospholipids p...

Prostate and bladder cancers are the two prevalent urological cancers, several therapeutic options currently available but outcomes have not been satisfactory. To find better option, we investigated if bioactive extracts of monk fruit, mogrosides, with potential anticancer activity might effect against prostate cancer cells. Four commercial products made mogrosides known as Lakantoò (LKT) produ...

Cancer classification is one major application of microarray data analysis. Due to the ultra high dimensionality nature of microarray data, data dimension reduction has drawn special attention for such type of data analysis. The currently available data dimension reduction methods are either supervised, where data need to be labeled, or computational complex. In this paper, we proposed to use a...

A study was conducted to find the optimal approach for integrating semantic technology across the extensive data banks utilized by the Laboratory for Laser Energetics (LLE). In addition to the immense amount of information stored by LLE, there are multiple repositories of data, making it difficult to locate and process information critical to the operations of the laser facilities. Semantic tec...

In this paper, we propose the concept of Manifold of Facial Expression based on the observation that images of a subject’s facial expressions define a smooth manifold in the high dimensional image space. Such a manifold representation can provide a unified framework for facial expression analysis. We first apply Active Wavelet Networks (AWN) on the image sequences for facial feature localizatio...

The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial expression, occlusion, and aging. A novel technique that is gaining in popularity, known as Locally Linear Embedding (LLE), performs dimensionality reduction on data for learning and classification purposes. This paper p...