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Search Results: 1 - 10 of 32568 matches for " Zequn Huang "
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An Empirical Research on Agricultural Trade between China and “The Belt and Road” Countries: Competitiveness and Complementarity  [PDF]
Min He, Zequn Huang, Ningning Zhang
Modern Economy (ME) , 2016, DOI: 10.4236/me.2016.714147
Abstract: The Belt and Road Initiative provides excellent opportunities of developing agricultural products trade. This paper presents the overview and the prospect of the agricultural trade between China and the Belt and Road countries, and uses RCA and TCI index to empirically analyze trade competition and complementarity of agricultural products between China and the Belt and Road countries. Results show that trade competition and complementarity of agricultural products between China and the Belt and Road countries coexist, but its complementarity appears to be more remarkable. China and the Belt and Road countries should strengthen and diversify the trade cooperation on agricultural products on the basis of existing bilateral and multilateral mechanisms to achieve common development.
A Localization of Solow Growth Model with Labor Growth Pattern in China  [PDF]
Wang Wanxin, Guo Zequn
Technology and Investment (TI) , 2013, DOI: 10.4236/ti.2013.41B005
Abstract: This paper investigates the Solow Growth Model on a country-specific level by applying the demographic growth pat-tern in China to it. To localize the neoclassic model, China population growth estimation function based on the Verhulst Population Model is introduced to transform the population growth rate from a constant to a function, altering the orig-inal model assumption. By inserting the population growth function into Solow's work, an economy growth phase dia-gram for China is obtained. MATLAB programming is used to depict the diagram in a three-dimensional space and to show that the set of optimal capital-labor ratio values lies in the intersecting line of two planes rather than in the inter-secting point of two curves in the original model setting. An neoclassical aggregate feasible growth path for China's economy can be depicted based on a chosen optimal value. The dynamic equilibrium in this case should not be unique; instead, capital-labor ratio together with population growth situation at a certain time point should be jointly taken into consideration to solve the optimization problem in the country's long term economy development.

 

Probabilistic Modeling of IEEE 802.11 Distributed Coordination Functions
Rui Fang,Zequn Huang,Louis F. Rossi,Chien-Chung Shen
Computer Science , 2014,
Abstract: We introduce and analyze a new Markov model of the IEEE 802.11 Distributed Coordination Function (DCF) for wireless networks. The new model is derived from a detailed DCF description where transition probabilities are determined by precise estimates of collision probabilities based on network topology and node states. For steady state calculations, we approximate joint probabilities from marginal probabilities using product approximations. To assess the quality of the model, we compare detailed equilibrium node states with results from realistic simulations of wireless networks. We find very close correspondence between the model and the simulations in a variety of representative network topologies.
Chromosomalin situ hybridization ofCyprinus carpio genomic DNA repetitive sequence CR1
Zequn Wang,Zuoyan Zhu
Chinese Science Bulletin , 1999, DOI: 10.1007/BF02885930
Abstract: Common carpCyprinus carpio genomic DNA repetitive sequence CR1 has been DIG-labeled and hybridizedin situ against chromosomes of red common carp (Cyprinus carpio L. Xingguo red var. ). It is found that the repetitive sequence CR1 is mainly localized at the centromeric regions of chromosomes of the red common carp. The application of the chromosomalin situ hybridization technique on fish and the relationship between CR1 repetitive sequence distribution and its function have been discussed.
Influence of meteorological factors on the seasonal onset of esophagogastric variceal bleeding  [PDF]
Jun Chen, Donghua Li, Shaoyong Xu, Zequn Sun, Bin Wang, Changsheng Deng
Open Journal of Gastroenterology (OJGas) , 2013, DOI: 10.4236/ojgas.2013.32022
Abstract:

Purpose: To investigate the influence of meteorological factors on the esophagogastric variceal bleeding. The rhythmicity and variation mechanism of the onset of esophagogastric variceal bleeding were determined by large sample study. Methods: 572 patients with esophagogastric variceal bleeding confirmed by endoscopy were enrolled in the study, and the gender, age, onset date and Child-Pugh grading of liver function were recorded, the meteorological data were provided by the Shiyan Meteorological Bureau, which included temperature, air pressure, air speed, precipitation, sunshine duration and so on. Results: The onset numbers in the four seasons were 130, 122, 144 and 176, respectively, and differences of the onset number in different seasons were significant (X2 = 11.888, p = 0.008), and the onset number in winter reached to maximum, while it decreased to minimum in summer. The results of Child-Pugh grading were as follows: Grade A 113 (19.8%), Grade B 234 (40.9%), and Grade C 225 (39.3%). There was no significance among the different grades by crosstabs analysis (X2 = 4.463, p = 0.107). The Spearman correlation analysis concluded the result of (r > 0 and p < 0.01) in the air pressure (mean, maximal and minimal), daily mean temperature, ten days’ air pressure (mean, daily difference, maximal, minimal and range), ten days’ temperature range on the onset day, while the result of (r < 0 and p < 0.01) in the daily maximal temperature, daily minimal temperature, ten days’ temperature (mean, maximal and minimal) and ten days’ ≥0?C accumulated temperature. The p value was more than0.01 inthe other factors. Conclusion: The onset of esophagogastric variceal bleeding was rhythmical, which rose to the maximum in winter and decreased to minimum in summer. The onset of the disease correlated positively with daily air pressure (mean, maximal, minimal), daily mean temperature, ten days’ air pressure (mean, daily difference, maximal, minimal and

Study on Sequence Image Segmentation with the Variance of Scenes and Its General State
图像空间变化序列及其总体状态分析

Guan Zequn,Li Deren,
关泽群
,李德仁

遥感学报 , 1998,
Abstract: This work describes decomposition and synthesis techniques applied to remote sensing image analysis and focuses on the need for analyzing a series of segments in accordance with the variance of scenes. The algorithms described here take two unique approaches. The blocking image method is used for constructing a series of segments. The length function of area is defined that determines the strength of the similarity between a pair of lines. Some tests are also described, and the results indicate that the methods work well for a variety of images.
Environmental Problems Resulted from Transport in Hong Kong and Their Hierarchical Monitoring Using GPS/GIS/RS Techniques
应用 GPS/GIS/RS 技术从不同层面对香港交通环境进行监测的探讨

GUAN,Zequn,
关泽群
,何秀凤

遥感技术与应用 , 1997,
Abstract: With industrialization and an increasing range of service offered,the land surfaces of Hong Kong are heavily loaded with closely packed automobiles,people and buildings.Improved techniques to enhance environmental monitoring are still needed.We propose a novel method to characterize the parameters of environmental pollution resulted from transport in four layers.This paper has composed an integrated transport environment analysis system designed to meet the needs for obtaining the environmental parameters.
Application of next-generation sequencing for rapid marker development in molecular plant breeding: a case study on anthracnose disease resistance in Lupinus angustifolius L.
Huaan Yang, Ye Tao, Zequn Zheng, Chengdao Li, Mark Sweetingham, John Howieson
BMC Genomics , 2012, DOI: 10.1186/1471-2164-13-318
Abstract: Twenty informative plants from a cross of RxS (disease resistant x susceptible) in lupin were subjected to RAD single-end sequencing by multiplex identifiers. The entire RAD sequencing products were resolved in two lanes of the 16-lanes per run sequencing platform Solexa HiSeq2000. A total of 185 million raw reads, approximately 17 Gb of sequencing data, were collected. Sequence comparison among the 20 test plants discovered 8207 SNP markers. Filtration of DNA sequencing data with marker identification parameters resulted in the discovery of 38 molecular markers linked to the disease resistance gene Lanr1. Five randomly selected markers were converted into cost-effective, simple PCR-based markers. Linkage analysis using marker genotyping data and disease resistance phenotyping data on a F8 population consisting of 186 individual plants confirmed that all these five markers were linked to the R gene. Two of these newly developed sequence-specific PCR markers, AnSeq3 and AnSeq4, flanked the target R gene at a genetic distance of 0.9 centiMorgan (cM), and are now replacing the markers previously developed by a traditional DNA fingerprinting method for marker-assisted selection in the Australian national lupin breeding program.We demonstrated that more than 30 molecular markers linked to a target gene of agronomic trait of interest can be identified from a small portion (1/8) of one sequencing run on HiSeq2000 by applying NGS based RAD sequencing in marker development. The markers developed by the strategy described in this study are all co-dominant SNP markers, which can readily be converted into high throughput multiplex format or low-cost, simple PCR-based markers desirable for large scale marker implementation in plant breeding programs. The high density and closely linked molecular markers associated with a target trait help to overcome a major bottleneck for implementation of molecular markers on a wide range of germplasm in breeding programs. We conclude that app
Removal of bentazone from micro-polluted water using MIEX resin: Kinetics, equilibrium, and mechanism

Zequn Liu,Xiaomin Yan,Mary Drikas,Danong Zhou,Dongsheng Wang,Min Yang,Jiuhui Qu,

环境科学学报(英文版) , 2011,
Abstract: The contamination of surface and ground water by bentazone has attracted increasing global concern in recent years. We conducted a detailed investigation using MIEX resin to eliminate bentazone from waters. Batch experiments were carried out to evaluate the e ect of process parameters, such as retention time, resin amount, and initial pesticide concentration, on removal e ciency of bentazone. Results showed the sorption process was fast and bentazone could be e ciently removed in 30 minutes. The kinetic process of bentazone sorption on MIEX resin was well described by pseudo second-order model and intraparticle di usion was the rate controlling step. The MIEX resin possessed the highest sorption capacity of 0.2656 mmol/mL for bentazone according to Langmuir fitting. Bentazone is a hydrophobic ionizable organic compound, and both ionic charge and hydrophobic aromatic structure governed the sorption characteristics on MIEX resin. The di erent removal e ciencies of ionic and non-ionic pesticides, combined with the charge balance equations of bentazone, SO4 2??, NO3?? and Cl??, indicated that removal of bentazone using MIEX resin occurred primarily via ion exchange.
Reversible Recursive Instance-level Object Segmentation
Xiaodan Liang,Yunchao Wei,Xiaohui Shen,Zequn Jie,Jiashi Feng,Liang Lin,Shuicheng Yan
Computer Science , 2015,
Abstract: In this work, we propose a novel Reversible Recursive Instance-level Object Segmentation (R2-IOS) framework to address the challenging instance-level object segmentation task. R2-IOS consists of a reversible proposal refinement sub-network that predicts bounding box offsets for refining the object proposal locations, and an instance-level segmentation sub-network that generates the foreground mask of the dominant object instance in each proposal. By being recursive, R2-IOS iteratively optimizes the two sub-networks during joint training, in which the refined object proposals and improved segmentation predictions are alternately fed into each other to progressively increase the network capabilities. By being reversible, the proposal refinement sub-network adaptively determines an optimal number of refinement iterations required for each proposal during both training and testing. Furthermore, to handle multiple overlapped instances within a proposal, an instance-aware denoising autoencoder is introduced into the segmentation sub-network to distinguish the dominant object from other distracting instances. Extensive experiments on the challenging PASCAL VOC 2012 benchmark well demonstrate the superiority of R2-IOS over other state-of-the-art methods. In particular, the $\text{AP}^r$ over $20$ classes at $0.5$ IoU achieves $66.7\%$, which significantly outperforms the results of $58.7\%$ by PFN~\cite{PFN} and $46.3\%$ by~\cite{liu2015multi}.
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