计算机科学与系统生物学杂志

Document processing is one of the most widely used and well developed With the recent fast development of high-speed internet and distributed computing, it is possible to move document processing to web-based, and even cloud-based. The initial benefits of moving office documents into cloud for small and medium sized are business cost saving for buying, maintaining, and upgrading both software and hardware. However, the most significant advantage of doing is to enable users of real-time collaborative editing on a shared cloud-based document. Therefore, moving office applications into cloud is an inevitable trend for the development of office application. A novel efficient document-processing model (DPC) in the cloud is proposed. Detailed description and functioning of this model is briefly discussed first in this paper. Next, we implemented the DPC model in the Google cloud through the Google App Engine. Our cases testing verified the proposed DPC model enabling users to process their office document collaboratively by a proper granularity in cloud.

A novel approach for assessing the myocardial function using 4D cine cardiac magnetic resonance imaging (CMRI) is proposed. The myocardial function is assessed by estimating the left ventricle (LV) wall thickening based on a novel 4D tracking approach that tracks the LV wall during the cardiac cycle. Initially, the proposed 4D approach tracks the surface points on the LV wall by solving a 3D Laplace equation between each two subsequent LV surfaces. In order to remove inconsistencies and preserve the anatomy of the heart wall during the tracking process, the initial locations of the tracked LV surface points are iteratively adjusted through an energy minimization cost function using a generalized Gauss-Markov random field (GGMRF) image model. Using the iteratively adjusted solution of the 3D Laplace equation, the myocardial wall thickening is estimated by co-allocation of the corresponding points, or matches between the endocardium and epicardium surfaces of the LV wall. Experimental results on in vivo data demonstrate that our approach outperforms 2D wall thickening estimation approaches.

In the paper, a complete minimal system of fuzzy logic operators that implements the operations over qubits is suggested. The model is based on a parametric system of the fuzzy not and phase operators and represents operators of quantum information theory acting on real amplitudes. An example of the system application is provided by its implementation to a mobile robot control, and its correspondence with the previously suggested models is illustrated by numerical simulations.