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Search Results: 1 - 10 of 126804 matches for " Yingpeng Li "
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New Business Model for Company toWin the Competition  [PDF]
Yingpeng Li, Rui Yang
American Journal of Industrial and Business Management (AJIBM) , 2014, DOI: 10.4236/ajibm.2014.44026

With the rise and development of e-commerce, a huge impact is given on traditional retailing. Nowadays the retailing e-commerce competition is very fierce. In this paper nine possible developing directions of retailing e-commerce in future are discussed. By using interpretative structural modeling the direct correlation of these nine directions is analyzed, and then the development trend is divided into five stages involved the stage of mobile e-commerce retailing.

Genomic value prediction for quantitative traits under the epistatic model
Zhiqiu Hu, Yongguang Li, Xiaohui Song, Yingpeng Han, Xiaodong Cai, Shizhong Xu, Wenbin Li
BMC Genetics , 2011, DOI: 10.1186/1471-2156-12-15
Abstract: In this study, we created 126 recombinant inbred lines of soybean and genotyped 80 makers across the genome. We applied the genome selection technique to predict the genomic value of somatic embryo number (a quantitative trait) for each line. Cross validation analysis showed that the squared correlation coefficient between the observed and predicted embryo numbers was 0.33 when only main (additive) effects were used for prediction. When the interaction (epistatic) effects were also included in the model, the squared correlation coefficient reached 0.78.This study provided an excellent example for the application of genome selection to plant breeding.Genome selection refers to a method for genomic value prediction using markers of the entire genome [1,2]. It is effective for genetic improvement of quantitative traits that are controlled by multiple quantitative trait loci (QTL). Some traits may be controlled by only a few QTL and marker assisted selection using only the few detected QTL can be effective. However, most quantitative traits are determined by multiple QTL and their interactions. Marker assisted selection using only a few detected loci may not be efficient for these traits. Using all QTL collectively to predict the breeding values of individual plants can outperform the traditional marker assisted selection [3,4]. However, there might be some trade off between the numbers of QTL included in the model and the efficiency of prediction. Cross validation can help us determine the optimal number of QTL included in the model to maximize the efficiency of genome selection.The importance of epistasis in genetic determination may vary across different species. In agricultural crops, most quantitative traits in barley do not have a strong basis of epistatic effects [5]. However, epistasis has been shown to be important in QTL studies in rice [6-8]. Dudley and Johnson [9] found that epistatic effects are more important than additive effects in determination of oil,
Classification and Prediction on Rural Property Mortgage Data with Three Data Mining Methods  [PDF]
Kaixi Zhang, Yingpeng Hu, Yanghui Wu
Journal of Software Engineering and Applications (JSEA) , 2018, DOI: 10.4236/jsea.2018.117022
Abstract: The Farmers Property Mortgage Policy is a strategic financial policy in western China, a relatively underdeveloped region. Many contradictions and conflicts exist in the process between the strong demand for the loans by farmers and the strict risk control by the financial institutions. The rural finance corporations should use scientific analysis and investigation of the potential households for overall evaluation of the customers. These include historical credit rating, present family situation, and other related information. Three different data mining methods were applied in this paper to the specifically-collected household data. The objective was to study which factor could be the most important in determining loan demand for households, and in the meanwhile, to classify and predict the possibility of loan demand for the potential customers. The results obtained from the three methods indicated the similar outputs, income level, land area, the way of loan, and the understanding of policy were four main factors which decided the probability of one specific farmer applying for a credit loan. The results also embodied the difference within the three methods for classifying and predicting the loan anticipation for the testing households. The artificial neural network model had the highest accuracy of 91.4 which is better than the other two methods.
GmGBP1, a homolog of human ski interacting protein in soybean, regulates flowering and stress tolerance in Arabidopsis
Yanwei Zhang, Lin Zhao, Haiyan Li, Yang Gao, Yongguang Li, Xiaoxia Wu, Weili Teng, Yingpeng Han, Xue Zhao, Wenbin Li
BMC Plant Biology , 2013, DOI: 10.1186/1471-2229-13-21
Abstract: In this study, the expression patterns of soybean GAMYB binding protein gene (GmGBP1) encoding a homolog of SKIP protein were analyzed in soybean under abiotic stresses and different day lengths. The expression of GmGBP1 was induced by polyethyleneglycol 6000, NaCl, gibberellin, abscisic acid and heat stress. GmGBP1 had transcriptional activity in C-terminal. GmGBP1 could interact with R2R3 domain of GmGAMYB1 in SKIP domain to take part in gibberellin flowering pathway. In long-day (16 h-light) condition, transgenic Arabidopsis with the ectopic overexpression of GmGBP1 exhibited earlier flowering and less number of rosette leaves; Suppression of AtSKIP in Arabidopsis resulted in growth arrest, flowering delay and down-regulation of many flowering-related genes (CONSTANS, FLOWERING LOCUS T, LEAFY); Arabidopsis myb33 mutant plants with ectopic overexpression of GmGBP1 showed the same flowering phenotype with wild type. In short-day (8 h-light) condition, transgenic Arabidopsis plants with GmGBP1 flowered later and showed a higher level of FLOWERING LOCUS C compared with wild type. When treated with abiotic stresses, transgenic Arabidopsis with the ectopic overexpression of GmGBP1 enhanced the tolerances to heat and drought stresses but reduced the tolerance to high salinity, and affected the expressions of several stress-related genes.In Arabidopsis, GmGBP1 might positively regulate the flowering time by affecting CONSTANS, FLOWERING LOCUS T, LEAFY and GAMYB directly or indirectly in photoperiodic and gibberellin pathways in LDs, but GmGBP1 might represse flowering by affecting FLOWERING LOCUS C and SHORT VEGETATIVE PHASE in autonomous pathway in SDs. GmGBP1 might regulate the activity of ROS-eliminating to improve the resistance to heat and drought but reduce the high-salinity tolerance.Flowering time plays key roles in plant development, plant adaptation to growing regions [1], crop yield [2,3] and disease resistance [4]. Abiotic stress such as drought, high salinit
QTL underlying resistance to two HG types of Heterodera glycines found in soybean cultivar 'L-10'
Wei Chang, Limin Dong, Zizhen Wang, Haibo Hu, Yingpeng Han, Weili Teng, Hongxia Zhang, Maozu Guo, Wenbin Li
BMC Genomics , 2011, DOI: 10.1186/1471-2164-12-233
Abstract: A Total of 140 F5 derived F7 recombinant inbred lines (RILs) were advanced by single-seed-descent from a cross between 'L-10' (a soybean cultivar broadly resistant to SCN) and 'Heinong 37' (a SCN susceptible cultivar). Associated QTL were identified by WinQTL2.1. QTL Qscn3-1 on linkage group (LG) E, Qscn3-2 on LG G, Qscn3-3 on LG J and Qscn14-1 on LG O were associated with SCN resistance in both year data (2007 and 2008). Qscn14-2 on LG O was identified to be associated with SCN resistance in 2007. Qscn14-3 on LG D2 was identified to be associated with SCN resistance in 2008. Qscn14-4 on LG J was identified to be associated with SCN resistance in 2008. The Qscn3-2 on LG G was linked to Satt309 (less than 4 cM), and explained 19.7% and 23.4% of the phenotypic variation in 2007 and 2008 respectively. Qscn3-3 was less than 5 cM from Satt244 on LG J, and explained 19.3% and 17.95% of the phenotypic variations in 2007 and 2008 respectively. Qscn14-4 could explain 12.6% of the phenotypic variation for the SCN race 14 resistance in 2008 and was located in the same region as Qscn3-3. The total phenotypic variation explained by Qscn3-2 and Qscn3-3 together was 39.0% and 41.3% in 2007 and 2008, respectively. Further, the flanking markers Satt275, Satt309, Sat_350 and Satt244 were used for the selection of resistant lines to SCN race 3, and the accuracy of selection was about 73% in this RIL population. Four genes in the predicted resistance gene cluster of LG J (chromosome 16) were successfully cloned by RT-PCR. The transcript encoded by the gene Glyma16g30760.1 was abundant in the SCN resistant cultivar 'L-10' but absent in susceptible cultivar 'Heinong 37'. Further, the abundance was higher in root than in leaf for 'L-10'. Therefore, the gene was a strong candidate to underlie part of the resistance to SCN.Satt275, Satt309, Sat_305 and Satt244, which were tightly linked to the major QTL for resistance to SCN on LG G and J, would be candidates for marker-assisted selection o
Immobilization of fungal laccase on resin D380 and its property

Zhang Yingpeng,Yu Yinshui,Yang Yunshang,Li Chunlei,

环境工程学报 , 2011,
Abstract: 为寻求一种廉价高效的漆酶固定化方法,以树脂D380为载体、戊二醛为交联剂,结合吸附法和交联法固定真菌漆酶,并研究固定化漆酶的性质。最优固定化条件:1g载体在20mL0.7%的戊二醛溶液中交联2h后,加入2mL稀释酶液和5mLpH为4的醋酸一醋酸钠缓冲溶液,在25℃下吸附反应6h,最终获得的酶活回收率为65.94%。固定化漆酶的最适温度为20℃,最适pH为4,在4℃下保存14d仍保持约80%的酶活力。自由漆酶和固定化漆酶的Km值分别为1.207mmol/L和1.616mmol/L,说明固定后漆酶对底物的亲和力有所下降。
Analysis of volatile oils of Ligusticum chuanxiong Hort. from different geographical origins by comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry

WANG Nan,ZHANG Yi,LI Xiang,TONG Yingpeng,KONG Hongwei,XU Guowang,

色谱 , 2010,
Abstract: The volatile oils of 23 Ligusticum chuanxiong Hort. samples from 4 different regions were analyzed by comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry (GC×GC/TOF MS). The group-type separation of 4 terpenoids and phthalides was well accomplished based on a DB-Petro×DB-17 column system. With the MS library search, 215 compounds were tentatively identified based on the NIST database and the 43 compounds of them were confirmed by using the retention index or comparing with the standard compounds in a typical sample from Xindu City. Twenty three samples were apparently classified into 4 groups by partial least square-discriminant analysis. A brief list of 20 differential compounds is presented, including cnidilide, 3-n-butylphthalide and butylidene phthalide. DPPH (1,1-diphenyl-2-picrylhydrazyl) stable free radical scavenging assay was adopted to differentiate the antioxidative potency of these samples, which was expressed as EC50. Based on the orthogonal partial least square model the biochemical discrimination of samples was achieved with ligustilide, senkyunolide A and neocnidilide as important differential compounds according to geographical origins. All the results indicated that phthalides exert a great influence on the chemical and biochemical classifications of Rhizoma Chuanxiong, and the samples from Pengzhou City have the highest contents of phthalides.
An Observation-Centric Analysis on the Modeling of Anomaly-based Intrusion Detection
Zonghua Zhang,Hong Shen,Yingpeng Sang
International Journal of Network Security , 2007,
Abstract: In a (t, n) group-oriented cryptosystem collaboration of at least t participants is required to perform a designated cryptographic operation. This type of cryptographic operation is very important to support an ad-hoc type network, such as the one that is built using Bluetooth or ad-hoc wireless LAN, since the existence of a combiner is not required to decrypt an encrypted message. In the earlier paper, it was shown that a group-oriented encryption scheme, as proposed by Saeednia and Ghodosi, can be subjected to a conspiracy attack in which two participants collude to decrypt an encrypted message. Recently, it was shown that the modified scheme is subjected to a conspiracy attack of at least three group members with probability 0.608. In this paper, we show a stronger result that shows any conspiracy of at least three group members can collude and decrypt an encrypted message.
Privacy-Preserving Data Publishing for Multiple Numerical Sensitive Attributes
Qinghai Liu,Hong Shen,Yingpeng Sang
- , 2015, DOI: 10.1109/TST.2015.7128936
Abstract: Anonymized data publication has received considerable attention from the research community in recent years. For numerical sensitive attributes, most of the existing privacy-preserving data publishing techniques concentrate on microdata with multiple categorical sensitive attributes or only one numerical sensitive attribute. However, many real-world applications can contain multiple numerical sensitive attributes. Directly applying the existing privacy-preserving techniques for single-numerical-sensitive-attribute and multiple-categorical-sensitive-attributes often causes unexpected disclosure of private information. These techniques are particularly prone to the proximity breach, which is a privacy threat specific to numerical sensitive attributes in data publication. In this paper, we propose a privacy-preserving data publishing method, namely MNSACM, which uses the ideas of clustering and Multi-Sensitive Bucketization (MSB) to publish microdata with multiple numerical sensitive attributes. We use an example to show the effectiveness of this method in privacy protection when using multiple numerical sensitive attributes.
Effects of the growth of clonal plant Psammochloa villosa Trin.bor on ecological distribution of arbuscular mycorrhizal fungi in Mu Us Sandland

HE Xueli,LI Yingpeng,ZHAO Lili,LIU Xuewei College of Life Sciences,Hebei University,Baoding,China Xinxiang Municipal Bureau of Agriculture,Xinxiang,China,

生态学报 , 2010,
Abstract: The sampling plots represented the typical Psammochloa villosa community and were chosen based on the presence of P. villosa to investigate the effects of its clonal growth on the distribution of arbuscular mycorrhizal fungi in Mu Us sandland. The plots were established in May and sampled in May, July and October 2007. Soil samples were collected in 4 replicates and divided a depth of 50 cm into 5 sections, i.e. 0-10, 10-20, 20-30, 30-40 and 40-50 cm. The results showed that a functional symbiont is formed between AM fungi and P. villosa, with an intermediate mycorrhizal type. AM fungal colonization significantly (P<0.05) increased initially and later decreased with sampling time, peaking in July. Spore density showed an inverted pattern of development and maximum numbers were recorded in October. The soil sampling depth had a significant (P<0.05) effect on spore density and colonization of AM fungi with the highest percent colonization and spore density in the two topmost sections i.e., 0-20cm. Spore density was significantly (P<0.05) and positively correlated with vesicular colonization. Soil available N content was significantly (P<0.01) and negatively correlated with hyphal and total root colonization. Soil temperature was significantly (P<0.05) and positively correlated with vesicular, arbuscular, hyphal and total colonization, but had a significantly (P<0.05) negative effect on spore density. Soil moisture was significantly (P<0.05) and positively correlated with arbuscular, hyphal and total colonization but significantly (P<0.05) and negatively correlated with spore density. The results suggest that the clonal growth of P. villosa has an influence on the colonization activity and spore density of AM fungi.
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