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Search Results: 1 - 10 of 142142 matches for " Hua Li "
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Researches on Six Lattice-Valued Logic  [PDF]
Hua Li
Journal of Computer and Communications (JCC) , 2015, DOI: 10.4236/jcc.2015.310005
Abstract: Based on the direct product of Boolean algebra and Lukasiewicz algebra, six lattice-valued logic is put forward in this paper. The algebraic structure and properties of the lattice are analyzed profoundly and the tautologies of six-valued logic system L6P(X) are discussed deeply. The researches of this paper can be used in lattice-valued logic systems and can be helpful to automated reasoning systems.
Binary Tree’s Recursion Traversal Algorithm and Its Improvement  [PDF]
Hua Li
Journal of Computer and Communications (JCC) , 2016, DOI: 10.4236/jcc.2016.47006
Abstract: Binary tree is a very important data structure in computer science. Some major properties are discussed. Both recursive and non-recursive?traversal methods of binary tree are discussed in detail. Some improvements in programming are proposed.
Improved Detection of Cervical Cancer and High Grade Neoplastic Lesions by a Combination of Conventional Cytology and DNA Automated Image Cytometer  [PDF]
Zuming Li, Min Zhang, Hua Li
Journal of Cancer Therapy (JCT) , 2010, DOI: 10.4236/jct.2010.12008
Abstract: OBJECTIVE: To reduce false-negative rates of population based cervical screening programs employing conventional cytology in combination with automated DNA image cytometer. METHODS: Involved cervical samples from a total of 3603 women were taken by a cervix brush and then placed into a fixative solution. The cells were separated from mucus by mechanical and chemical treatment after which they were deposited onto microscope slides by a cytospin. Two slides were prepared from each case; one slide was stained by Papanicolaou stain for conventional cytology examination, while the other slide was stained by a DNA specific and stoichiometric stain. The latter slide was used to determine the relative amount of DNA in the cell nuclei in order to assess the ploidy status of the epithelial cells. Enrolled in the study, 157 women were followed by colposcopy examination where punch biopsies were taken from the visible lesions or from suspicious areas. The results of the conventional cytology were then compared to the DNA image cytometer for all samples. RESULTS: Histopathology diagnosed 51 lesions from the 132 biopsied cases as CIN2 or higher, including 27 CIN2, 16 CIN3 and 8 invasive cancers. Conventional cytology correctly identified 29 of the 51 high grade CIN and in-vasive cancer, while DNA image cytometer correctly identified 38 high grade CIN and invasive cancer using the crite-rion that at least three cells were found on the slide that contained DNA amount in excess of 5c. 42 out of 51 high grade CIN and invasive cancer were found by conventional cytology in combination with DNA image cytometer. Sensitivities were 56.8%, 74.5% and 82.4%, while specificities were 86.2%, 81.5% and 81.5% in conventional cytology, DNA image cytometer and combination both cytology and DNA image cytometer respectively. CONCLUSION: The study demon-strated that screening for high grade neoplastic lesions and cervical cancer by DNA image cytometer or combination of conventional cytology and DNA image cytometer is more sensitive than conventional screening approach.
Cost Aggregation Strategy with Bilateral Filter Based on Multi-scale Nonlinear Structure Tensor
Li Li,Hua Yan
Journal of Networks , 2011, DOI: 10.4304/jnw.6.7.958-965
Abstract: This paper proposed a novel cost aggregation method for stereo matching with modified bilateral filter. In original bilateral filter, only spatial and range weights are used to compute the similarity of two considering pixels and a new weight based on structure tensor is added in our method. By smoothing each element of the structure tensor considering both the spatial and gradient distances of neighboring pixels, the nonlinear structure tensor for each pixel is constructed. We adopt the Log-Euclidean calculus as tensor dissimilarity function to compute the structure tensor distance of two considering pixels. Then the multi-scale value is computed by summing of the tensor distances in each scale. So a new weight based on multi-scale structure tensor distance is set up and included in bilateral filter for cost aggregation. By constructing the multi-scale nonlinear structure tensor and adding the new corresponding weight in cost aggregation, more pixels similar with central pixel could be aggregated in a support window and the final disparity map could be more accurate. Experimental results have confirmed the effectiveness of our proposed method.
Research on RFID Integration Middleware for Enterprise Information System
Minbo Li,Hua Li
Journal of Software , 2011, DOI: 10.4304/jsw.6.2.167-174
Abstract: Radio Frequency Identification (RFID) is a promising technology for automated non-line-of-sight object identification. Traditional research of RFID middleware does not concern RFID related integration with enterprise information systems. Considering the requirements of RFID middleware and business process integration with enterprise information systems, an integration framework for RFID middleware based on business process rule and data stream technologies are introduced. Main modules of the RFID integration middleware, such as devices monitoring, data management, XML business documents exchange, business process control and RFID event management, are designed and discussed in detail. The semantic definition of the complex RFID event and RFID event classification are presented. A real-time scheduling strategy of RFID event which is based on the buffer and priority queue, can process the concurrent RFID events. Application system based on RFID is realized to control the business process through RFID events.
Active volatiles of cabernet sauvignon wine from Changli County  [PDF]
Yong-Sheng Tao, Hua Li
Health (Health) , 2009, DOI: 10.4236/health.2009.13029
Abstract: This study investigated the contribution of vola-tile compounds to the overall aroma of Cabernet Sauvignon wines from Changli County (China). Wine samples were collected from vintages from 2000 to 2005. Volatile compounds were ex-tracted by PDMS solid-phase micro-extraction fi- bers and identified by Gas Chromatography-Ma- ss Spectrometry (GC-MS). A total of 65 volatile compounds were identified and quantified, in-cluding higher alcohols, ethyl and acetate esters, and fatty acids. According to their odor active values (OA-Vs), 21 volatile compounds were con- sidered to be the powerful impact odorants of Cabernet Sauvignon wines from Changli. Odor descriptions of impact volatiles suggested Cab-ernet Sauvignon red wines from Changli County as having a complex aroma, which included not only pleasant floral and fruity odors, but also cheese, clove flavors, and grassy and smoky aromas.
The Comparative Research on the Location Technology of Wireless Sensor Networks  [PDF]
Jijun ZHAO, Hua LI, Xin ZHAO
Communications and Network (CN) , 2009, DOI: 10.4236/cn.2009.12018
Abstract: Wireless Sensor Network (WSN) which is composed of lots of self-organizational intelligence nodes has become new technology of information acquisition and processing. Location technology is one of the key technologies in WSN. There are many kinds of location algorithms currently and the research to performance evaluation and applicability analysis of algorithms has fundamental significance. For this reason, the paper firstly elaborated the performance evaluation indexes of location algorithms, and analyzed the location prin-ciples, characteristics and current fundamental problems to typical and some new location algorithms, and then analyzed and compared some typical location algorithms according to the location accuracy, node den-sity and hardware requirement, obtaining the sphere of application of these algorithms and pointing out the problems which need to be solved in WSN currently.
Heavy Metals’ Spatial Distribution Characteristics in a Copper Mining Area of Zhejiang Province  [PDF]
Hua Sun, Juan Li, Xiaojun Mao
Journal of Geographic Information System (JGIS) , 2012, DOI: 10.4236/jgis.2012.41007
Abstract: The spatial distribution characteristics of six heavy metals and metalloid in soil of Zhuji Lipu copper mining area, Zhejiang Province, was studied by using geostatistics approaches combined with GIS. These elements included Pb, As, Cr, Cu, Zn and Ni. The statistical analyses showed that concentrations of these elements were lognormal distribution. Concentrations of Pb, As, Cu, Zn and Ni were strongly correlated with each other indicating that these elements in soils may be from the same pollution source. However, accumulation of Cr was unique with its geometric mean being close to that in the control soil. This indicates that Cr content was mainly influenced by soil factors. The Kriging method was applied to estimate the unobserved points. The Kriging interpolation maps reflected significant spatial distribution of these elements as influenced by both pollution and geological factors. The present study indicated that GIS based geostatistics method could accurately analyze the spatial variation of heavy metals and metalloid in the mining area. Overall, higher concentrations of heavy metals and metalloid were found in the center of both the north and south sides. The content of copper in the south was significantly higher than that in the north due to paddy field land uses. In addition, the terrain of four terraces tilted to the center and the broad irrigation accident occurred in the 4th trench in the south of sampling area were also contributed to the higher concentrations of these elements.
Analysis on the Nutrition Composition and Antioxidant Activity of Different Types of Sweet Potato Cultivars  [PDF]
Hua Ji, Haixin Zhang, Hongtao Li, Yunchao Li
Food and Nutrition Sciences (FNS) , 2015, DOI: 10.4236/fns.2015.61017
Abstract: In this study, we selected four different color fleshed sweet potatoes, purple- (Jizi 01), red- (Xinong 431), yellow- (Beijing 553) and white- (Shangshu 19) fleshed cultivars as test materials, analyzed nutrient composition, dietary fiber content, anthocyanins quantification, and total phenolics content, and also measured their total antioxidant activity in four different types of sweet potato. In view of differences in flesh color, the nutrient contents of different cultivars appeared to be significantly different. Starch contents of Beijing 553 and Shangshu 19 were higher, but fat contents were lower than others. Protein content of Shangshu 19 was the highest followed by Jizi 01 and Xinong 431. In addition, our analysis results confirmed that purple fleshed sweet potato possesses much higher anthocyanins content than others, even up to 6.23 mg/g dry matter. Also, dietary fiber, total phenolics content, and total antioxidant capacity of Jizi 01 were significantly higher.
Local Network Topology in Human Protein Interaction Data Predicts Functional Association
Hua Li, Shoudan Liang
PLOS ONE , 2009, DOI: 10.1371/journal.pone.0006410
Abstract: The use of high-throughput techniques to generate large volumes of protein-protein interaction (PPI) data has increased the need for methods that systematically and automatically suggest functional relationships among proteins. In a yeast PPI network, previous work has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional association. In this study we improved the prediction scheme by developing a new algorithm and applied it on a human PPI network to make a genome-wide functional inference. We used the new algorithm to measure and reduce the influence of hub proteins on detecting function-associated protein pairs. We used the annotations of the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as benchmarks to compare and evaluate the function relevance. The application of our algorithms to human PPI data yielded 4,233 significant functional associations among 1,754 proteins. Further functional comparisons between them allowed us to assign 466 KEGG pathway annotations to 274 proteins and 123 GO annotations to 114 proteins with estimated false discovery rates of <21% for KEGG and <30% for GO. We clustered 1,729 proteins by their functional associations and made functional inferences from detailed analysis on one subcluster highly enriched in the TGF-β signaling pathway (P<10?50). Analysis of another four subclusters also suggested potential new players in six signaling pathways worthy of further experimental investigations. Our study gives clear insight into the common neighbor-based prediction scheme and provides a reliable method for large-scale functional annotation in this post-genomic era.
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