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BACKGROUND Childhood medulloblastoma is associated with significant morbidity and mortality that is compounded by neurotoxicity for the developing brain caused by current therapies, including surgery, craniospinal radiation, and chemotherapy. Innate therapeutic resistance of some aggressive pediatric medulloblastoma has been attributed to a subpopulation of(More)
Two kinds of parallel genetic algorithm (PGA) are implemented in this paper based on the MATLAB® Parallel Computing Toolbox™ and Distributed Computing Server™ software. Parallel for-loops, SPMD (Single Program Multiple Data) block and co-distributed arrays, three basic parallel programming modes in MATLAB are employed to accomplish the(More)
The suboptimal water quality, including the eutrophication and the pollutants of NH<sub>3</sub>, H<sub>2</sub>S as well as organic compounds, is the main reason of damaging fish resources, which are suffered by the aquaculture ponds in the north of China and result in great losses to Chinese aquatic products every year. Therefore, it is important and the(More)
Pathophysiological hypoxia, which fosters the glioma stem-like cell (GSC) phenotype, is present in high-grade gliomas and has been linked to tumor development, invasiveness and resistance to chemotherapy and radiation. Oncolytic virotherapy with engineered herpes simplex virus-1 (HSV-1) is a promising therapy for glioblastoma; however, the efficacy of(More)
This paper presents an approach for solving the train scheduling for high-speed passenger railroad planning problem through the particle swarm optimization (PSO) for the first time. PSO has demonstrated the ability to deal with non-convex, non-linear, integer-mixed optimization problems. In this formulation, the objective function consists of two terms: the(More)
A new adaptive mesh simplification method based on vertex clustering is presented in this paper, which can preserve the model topology and subtle geometric features better than traditional vertex-clustering methods. Guided by the normal vectors corresponding to all vertices, the proposed method adopts a binary tree structure to split the bounding box of the(More)
Staphylococcus aureus (S. aureus) is a bacterium frequently found proliferating on metal surfaces such as stainless steels used in healthcare and food processing facilities. Past research has shown that a novel Cu-bearing 304 type stainless steel (304CuSS) exhibits excellent antibacterial ability (i.e. against S. aureus) in a short time period (24h.). This(More)
:Tap water is one of the most commonly used water resources in our daily life, where 10 the pathogenic bacteria, such as Staphylococcus aureus and Escherichia coli may pose a potential 11 health risk to humans. Furthermore, the mutualism of different pathogenic bacteria in actual tap 12 water may diminish the antibacterial effect of antibacterial agents.(More)
Modal interval-valued data is one of the most important types of symbolic data and each unit of its matrix contains a histogram or a distribution function. In this paper, a new method through Principal Component Analysis of modal interval-valued data is discussed. This Principal Component Analysis (PCA) method aims to reduce the dimensions of a large(More)