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Search Results: 1 - 10 of 42772 matches for " Juan Cai "
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Preprocessing of Separating Leukocytes Based on Setting Parameters of Lightness Transformation  [PDF]
Jianyong Cai, Lili Luo, Rongtai Cai, Lijin Lin, Juan Cai
Journal of Signal and Information Processing (JSIP) , 2013, DOI: 10.4236/jsip.2013.44051
Abstract: This paper proposed a new algorithm to separate leukocytes from cytological image by setting parameters of lightness transformation based on the RGB color space, which can make the targets’ color in different areas. In our procedure, an operator is employed in using color features. According to their histogram distribution of hue component in HSL color space after enhancing the contrast of image in RGB color space, the threshold of segmentation between leukocyte and erythrocyte could be achieved well. Especially, this algorithm is more efficient than monochrome for leukocyte segmentation, and the results of experiments show that it provides a good tool for cytological image, which can increase accuracy of segmentation of leukocyte.
Stimulatory e ects of biosurfactant produced by Pseudomonas aeruginosa BSZ-07 on rice straw decomposing

ZHANG Qiuzhuo,CAI Weimin,WANG Juan,

环境科学学报(英文版) , 2008,
Abstract: Biosurfactant,produced by Pseudomonas aeruginosa BSZ-07,was added to the dee straw decomposing process to enhance the production of reducing sugars.Observed by Fourier Transform InfraRed(FT-IR)and Nuclear Magnetic Resonance(NMR)analysis, the purified biosurfactant was considered as a mixture of RL1 and RL2,which are two different types of rhamnolipids.Two different adding methods,adding the purified rhamnolipid and the on-site production of it were compared.The results showed that 0.5 g/L was the optimum...
Seeding and Harvest: A Framework for Unsupervised Feature Selection Problems
Gang Chen,Yuanli Cai,Juan Shi
Sensors , 2013, DOI: 10.3390/s130100292
Abstract: Feature selection, also known as attribute selection, is the technique of selecting a subset of relevant features for building robust object models. It is becoming more and more important for large-scale sensors applications with AI capabilities. The core idea of this paper is derived from a straightforward and intuitive principle saying that, if a feature subset (pattern) has more representativeness, it should be more self-organized, and as a result it should be more insensitive to artificially seeded noise points. In the light of this heuristic finding, we established the whole set of theoretical principles, based on which we proposed a two-stage framework to evaluate the relative importance of feature subsets, called seeding and harvest (S&H for short). At the first stage, we inject a number of artificial noise points into the original dataset; then at the second stage, we resort to an outlier detector to identify them under various feature patterns. The more precisely the seeded points can be extracted under a particular feature pattern, the more valuable and important the corresponding feature pattern should be. Besides, we compared our method with several state-of-the-art feature selection methods on a number of real-life datasets. The experiment results significantly confirm that our method can accomplish feature reduction tasks with high accuracy as well as low computing complexity.
A CPN-based Software Testing Approach
Lizhi Cai,Juan Zhang,Zhenyu Liu
Journal of Software , 2011, DOI: 10.4304/jsw.6.3.468-474
Abstract: As a graphical and mathematical modeling tool, CPN (Colored Petri Net) is often used to describe the transition of states for an information system. The advantage of CPN model is that the model can be simulated dynamically. This paper presents an approach to generating test cases based on
The Influence of PbI2 on Characteristic of Organic-Inorganic Hybrid Perovskite Thin Films  [PDF]
Yuze Peng, Yuxiang Wu, Linlin Tang, Juan Li, Jian Xu, Yangyang Du, Like Huang, Hongkun Cai, Jian Ni, Jianjun Zhang
Modeling and Numerical Simulation of Material Science (MNSMS) , 2017, DOI: 10.4236/mnsms.2017.74004
Abstract: Organic-inorganic hybrid perovskite materials have attracted significant research efforts because of their outstanding properties. Meanwhile the crystallization of organic-inorganic hybrid perovskite materials can significantly influence the films quality. Here, we research the influence of the characteristics of PbI2 thin film on final perovskite films and the mechanisms of film formation based on the two-step sequential deposition method. We found that the characteristics of PbI2 thin film, such as the grain size, the grain shape, the surface roughness and the film densification, have significant effects on the final perovskite films due to different film crystallization process. According to the analysis on the characteristics of the perovskite films obtained from different PbI2precursor, we suggested that the formation of perovskite film begins from the PbI2 crystals expanding when they are converted to MAPbI3 perovskite by migration of MA+ cations from the grain boundaries.
Production of IL-16 correlates with CD4+ Th1 inflammation and phosphorylation of axonal cytoskeleton in multiple sclerosis lesions
Dusanka S Skundric, Juan Cai, William W Cruikshank, Djordje Gveric
Journal of Neuroinflammation , 2006, DOI: 10.1186/1742-2094-3-13
Abstract: We measured relative levels of IL-16, active caspase-3, T-bet, Stat-1 (Tyr 701), and phosphorylated NF(M+H), in brain and spinal cord lesions from MS autopsies, using western blot analysis. We examined samples from 39 MS cases, which included acute, subacute and chronic lesions, as well as adjacent, normal-appearing white and grey matter. All samples were taken from patients with relapsing remitting clinical disease. We employed two-color immunostaining and confocal microscopy to identify phenotypes of IL-16-containing cells in frozen tissue sections from MS lesions.We found markedly increased levels of pro- and secreted IL-16 (80 kD and 22 kD, respectively) in MS lesions compared to controls. Levels of IL-16 peaked in acute, diminished in subacute, and were elevated again in chronic active lesions. Compared to lesions, lower but still appreciable IL-6 levels were measured in normal-appearing white matter adjacent to active lesions. Levels of IL-16 corresponded to increases in active-caspase-3, T-bet and phosphorylated Stat-1. In MS lesions, we readily observed IL-16 immunoreactivity confined to infiltrating CD3+, T-bet+ and active caspase-3+ mononuclear cells.We present evidence suggesting that IL-16 production occurs in MS lesions. We show correlations between increased levels of secreted IL-16, CD4+ Th1 cell inflammation, and phosphorylation of axonal cytoskeleton in MS lesions. Overall, the data suggest a possible role for IL-16 in regulation of inflammation and of subsequent changes in the axonal cytoskeleton in MS.Multiple sclerosis (MS) is an inflammatory, demyelinating and neurodegenerative disease of central nervous system (CNS) [1,2]. The complex immunopathology of MS is initiated by infiltration of macrophages and lymphocytes into brain and spinal cord [3]. In patients with MS, magnetic resonance imaging (MRI) has confirmed that intrathecal infiltration correlates with clinically active, acute, and relapsing stages of disease. Infiltrating immune cells –
Changes in CH4 and CO2 emissions from soils under flooded conditions after being exposed to FACE (free-air CO2 enrichment) for three years

Liu Juan,Han Yong,Cai Zucong,Li Huilin,

生态学报 , 2007,
A Sports Tournament Scheduling Problem: Exploiting Constraint-based Algorithm and Neighborhood Search for the Solution
Razamin Ramli,Cai-Juan Soong,Haslinda Ibrahim
Lecture Notes in Engineering and Computer Science , 2012,
Bis[bis(1H-pyrazol-1-yl)methane-κ2N2,N2′](formato-κ2O,O′)copper(II) perchlorate
Cai-Juan Zhao,Rui-Feng Zhang
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811039675
Abstract: In the crystal structure of the title compound, [Cu(HCO2)(C7H8N4)2]ClO4, the CuII ion is octahedrally coordinated by one bidentate formate ion and two bidentate bis(1H-pyrazol-1-yl)methane ligands. There are C—H...O hydrogen bonds and π–π interactions [centroid–centroid distance = 3.487 (3) ] in the crystal structure. The perchlorate anion is disordered over two positions with an occupancy ratio of 0.628 (9):0.372 (9).
Cai-Juan Zhao,Rui-Feng Zhang
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811039687
Abstract: In the title compound, [Cd(NO3)2(C24H20N2O2)], the CdII ion is eight-coordinated by one ligand and two nitrate ions. There are C—H...O hydrogen bonds and C—H...π interactions and π–π interactions [centroid–centroid distance = 3.319 (1) ] in the crystal structure.
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