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A multiple-perspective cocitation analysis method is introduced for characterizing and interpreting the structure and dynamics of cocitation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Cocitation networks are decomposed into(More)
—This paper presents a numerical method for solving the Volterra integral equation with a convolution kernel. The integral equation was first converted to an algebraic equation using the Laplace transform, after which its numerical inversion was determined by power series. The Padé approximants were effectively used to improve the convergence rate and(More)
UNLABELLED As mnemonic utilization deficit in older adults associates with age-related decline in executive function, we hypothesized that memory strategy training combined with executive function training might induce larger training effect in memory and broader training effects in non-memory outcomes than pure memory training. The present study compared(More)
Controlled micro/mesopores interconnected structures of three-dimensional (3D) carbon with high specific surface areas (SSA) are successfully prepared by carbonization and activation of biomass (raw rice brans) through KOH. The highest SSA of 2475 m(2) g(-1) with optimized pore volume of 1.21 cm(3) g(-1) (40% for mesopores) is achieved for KOH/RBC = 4 mass(More)
OBJECTIVE To investigate the involvement of ephrinB2 in periodontal tissue remodeling in compression areas during orthodontic tooth movement and the effects of compressive force on EphB4 and ephrinB2 expression in osteoblasts and osteoclasts. METHODS A rat model of experimental tooth movement was established to examine the histological changes and the(More)
Aiming to the issue of face recognition with partial contiguous occlusion, a new face recognition method was proposed by removing the outlier area in this paper. A mean face image is firstly obtained from train images, which is subtracted by the test face to form an error face image. Then the error face image is used to obtain the occlusion area of the test(More)
We present an online learned framework for multiple target tracking in a crowded scene. The tracking problem is formulated as a detection-based progressive association task. Firstly, reliable tracklets are generated by low level constraints among detection responses. Then longer tracklets associations are generated based on online learned Hough forest(More)
Optimized mesoporous photocatalyst endowed with high specific surface area and large pore size was synthesized by sol-gel method. These large pore mesoporous materials (33.39 nm) were conducive to the movement of larger molecules or groups in pore path and for effective use of active sites. The high specific surface area (SBET, 99.23 m(2) g(-1)) was(More)