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Search Results: 1 - 10 of 11357 matches for " Xing Yiqiao "
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GUCY2D Gene Mutation in a Family with Leber Congenital Amaurosis
Wu Li,Li Pengcheng,Xing Yiqiao
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.2953.2956
Abstract: To detect and analyze GUCY2D gene mutations in a family with Leber Congenital Amaurosis (LCA) in China. Researchers collected peripheral blood samples from affected family members in three generations. Genomic DNA was extracted and all 20 exons of the GUCY2D gene were amplified using the DNA of the proband as the template. The ABI 3100 automated sequencer was used for sequencing. The sequencing results revealed one Single Nucleotide Polymorphism (SNP): c.154G.T (p.A52S) on exon 2 of the GUCY2D gene. The encoded amino acid changed from alanine to serine. All affected family members carried this SNP.
The Anatomical and Functional Outcomes of 23-Gauge Transconjunctival Sutureless Vitrectomy in Pseudophakic Retinal Detachment: A Prospective Interventional Study
Zhao Xiaohui,Xing Yiqiao,Li Zhi,He Tao
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.2323.2326
Abstract: The purpose of this study is to evaluate the anatomic and functional outcomes of 23-gauge Transconjunctival Sutureless Vitrectomy (TSV) in primary reatment of uncomplicated pseudophakic Retinal Detachments (RD). In this prospective noncomparative interventional study, 32 eyes of 32 patients with RD after cataract surgery with phacoemulsification were evaluated. Primary pseudophakic RDs with macular detachment and proliferative vitreoretinopathy stage B or less were included in the study. The 23-gauge TSV, perfluorocarbon liquid injection followed by air exchange, endolaser photocoagulation and sulfur hexafluoride gas (20%) injection were applied to all eyes. Mean follow-up time was 9.3 months (range, 6-12 months). Retinal reattachment with a single operation was achieved in 93.75% of eyes and with additional surgery, the retina was reattached in 100% of eyes. Preoperative visual acuity was <20/200 in all eyes (range, hand motions to 20/400). Postoperative visual acuity was 20/40 or better in 15 eyes (46.88%) and 20/50 and 20/200 in 12 eyes (37.50%). No sutures were required to close the scleral and conjunctival openings. Postoperative complications were Transient hypotony in 2 eyes (6.25%) macular pucker in 2 eyes (6.25%) and cystoid macular edema in 2 eyes (6.25%).
A new upper bound on the acyclic chromatic indices of planar graphs
Weifan Wang,Qiaojun Shu,Yiqiao Wang
Mathematics , 2012,
Abstract: An acyclic edge coloring of a graph $G$ is a proper edge coloring such that no bichromatic cycles are produced. The acyclic chromatic index $a'(G)$ of $G$ is the smallest integer $k$ such that $G$ has an acyclic edge coloring using $k$ colors. It was conjectured that $a'(G)\le \Delta+2$ for any simple graph $G$ with maximum degree $\Delta$. In this paper, we prove that if $G$ is a planar graph, then $a'(G)\leq\Delta +7$. This improves a result by Basavaraju et al. [{\em Acyclic edge-coloring of planar graphs}, SIAM J. Discrete Math., 25 (2011), pp. 463-478], which says that every planar graph $G$ satisfies $a'(G)\leq\Delta +12$.
Every 4-regular graph is acyclically edge-6-colorable
Wang Weifan,Shu Qiaojun,Wang Yiqiao
Computer Science , 2012,
Abstract: An acyclic edge coloring of a graph $G$ is a proper edge coloring such that no bichromatic cycles are produced. The acyclic chromatic index $a'(G)$ of $G$ is the smallest integer $k$ such that $G$ has an acyclic edge coloring using $k$ colors. Fiam${\rm \check{c}}$ik (1978) and later Alon, Sudakov and Zaks (2001) conjectured that $a'(G)\le \Delta + 2$ for any simple graph $G$ with maximum degree $\Delta$. Basavaraju and Chandran (2009) showed that every graph $G$ with $\Delta=4$, which is not 4-regular, satisfies the conjecture. In this paper, we settle the 4-regular case, i.e., we show that every 4-regular graph $G$ has $a'(G)\le 6$.
Magnetic Resonance Characterization of Porous Media Using Diffusion through Internal Magnetic Fields
Hyung Joon Cho,Eric E. Sigmund,Yiqiao Song
Materials , 2012, DOI: 10.3390/ma5040590
Abstract: When a porous material is inserted into a uniform magnetic field, spatially varying fields typically arise inside the pore space due to susceptibility contrast between the solid matrix and the surrounding fluid. As a result, direct measurement of the field variation may provide a unique opportunity to characterize the pore geometry. The sensitivity of nuclear magnetic resonance (NMR) to inhomogeneous field variations through their dephasing effects on diffusing spins is unique and powerful. Recent theoretical and experimental research sheds new light on how to utilize susceptibility-induced internal field gradients to quantitatively probe the microstructure of porous materials. This article reviews ongoing developments based on the stimulated echo-pulse sequence to extend the characterization of porous media using both spatially resolved and unresolved susceptibility-induced internal gradients that operate on a diffusing-spin ensemble.
Effects of Decomposing Leaf Litter of Eucalyptus grandis on the Growth and Photosynthetic Characteristics of Lolium perenne
Yiqiao Li,Tingxing Hu,Xiaoyu Duan,Fanming Zeng
Journal of Agricultural Science , 2013, DOI: 10.5539/jas.v5n3p123
Abstract: The essence of grass growth is a complex system that is driven by light energy. The accumulation of 90% of the dry matter comes from the production of photosynthesis. In this study, we investigated the effect of decomposing leaf litter of Eucalyptus grandis on the growth and photosynthetic characteristics of Lolium perenne by pot experiment. Four treatments with different amounts of leaf litter were designed, including A1 (30 g/pot), A2 (60 g/pot), A3 (90 g/pot) and control (0 g/pot; CK), and the blank experiment groups with distilled fallen leaves were set as the above. The growth indices (including shoot biomass, root biomass and leaf area) were measured, and the photosynthetic characteristics were tested during 9:00-11:00 am on a sunny day. The test results showed that increasing amounts of E grandis leaf litter significantly inhibited the accumulation of shoot and root biomass, growth of leaf area, synthesis of photosynthetic pigments (chlorophyll a, chlorophyll b and cartenoids), photosynthetic rate and gas exchange parameters (Gs, Ci and Tr) of L. perenne seedlings (P < 0.05). The parameters of photosynthetic rate in response to CO2 concentration and light intensity showed a remarkable downward trend except for the CO2 compensation point and were significantly difference from CK, namely, CK > A1 > A2 > A3 (P < 0.05). The blank experimental showed that soil chemical and physical properties have not been changed by leaf litter decomposition. This demonstrated that the allelochemicals from E. grandis leaf litter decomposition can negatively affect the photosynthetic capacity and decrease the accumulation of biomass, and eventually inhibit the growth of L. perenne.
Stochastic Top-k ListNet
Tianyi Luo,Dong Wang,Rong Liu,Yiqiao Pan
Computer Science , 2015,
Abstract: ListNet is a well-known listwise learning to rank model and has gained much attention in recent years. A particular problem of ListNet, however, is the high computation complexity in model training, mainly due to the large number of object permutations involved in computing the gradients. This paper proposes a stochastic ListNet approach which computes the gradient within a bounded permutation subset. It significantly reduces the computation complexity of model training and allows extension to Top-k models, which is impossible with the conventional implementation based on full-set permutations. Meanwhile, the new approach utilizes partial ranking information of human labels, which helps improve model quality. Our experiments demonstrated that the stochastic ListNet method indeed leads to better ranking performance and speeds up the model training remarkably.
Knowledge Transfer Pre-training
Zhiyuan Tang,Dong Wang,Yiqiao Pan,Zhiyong Zhang
Computer Science , 2015,
Abstract: Pre-training is crucial for learning deep neural networks. Most of existing pre-training methods train simple models (e.g., restricted Boltzmann machines) and then stack them layer by layer to form the deep structure. This layer-wise pre-training has found strong theoretical foundation and broad empirical support. However, it is not easy to employ such method to pre-train models without a clear multi-layer structure,e.g., recurrent neural networks (RNNs). This paper presents a new pre-training approach based on knowledge transfer learning. In contrast to the layer-wise approach which trains model components incrementally, the new approach trains the entire model as a whole but with an easier objective function. This is achieved by utilizing soft targets produced by a prior trained model (teacher model). Compared to the conventional layer-wise methods, this new method does not care about the model structure, so can be used to pre-train very complex models. Experiments on a speech recognition task demonstrated that with this approach, complex RNNs can be well trained with a weaker deep neural network (DNN) model. Furthermore, the new method can be combined with conventional layer-wise pre-training to deliver additional gains.
Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output
Chi Jin,Ziteng Wang,Junliang Huang,Yiqiao Zhong,Liwei Wang
Computer Science , 2014,
Abstract: We consider accurately answering smooth queries while preserving differential privacy. A query is said to be $K$-smooth if it is specified by a function defined on $[-1,1]^d$ whose partial derivatives up to order $K$ are all bounded. We develop an $\epsilon$-differentially private mechanism for the class of $K$-smooth queries. The major advantage of the algorithm is that it outputs a synthetic database. In real applications, a synthetic database output is appealing. Our mechanism achieves an accuracy of $O (n^{-\frac{K}{2d+K}}/\epsilon )$, and runs in polynomial time. We also generalize the mechanism to preserve $(\epsilon, \delta)$-differential privacy with slightly improved accuracy. Extensive experiments on benchmark datasets demonstrate that the mechanisms have good accuracy and are efficient.
Two Modified QUICK Schemes for Advection-Diffusion Equation of Pollutants on Unstructured Grids  [PDF]
Linghang XING
Journal of Water Resource and Protection (JWARP) , 2009, DOI: 10.4236/jwarp.2009.15043
Abstract: In this paper, two modified QUICK schemes, namely Q-QUICK and UQ-QUICK, for improving the preci-sion of convective flux approximation are verified in advection-diffusion equation of pollutants on unstruc-tured grids. The constructed auxiliary nodes for Q-QUICK/UQ-QUICK are composed of two neighboring nodes plus the next upwind node, the later node is generated from intersection of the line of current neighboring nodes and their corresponding interfaces. 2D unsteady advection-diffusion equation of pollut-ants is conducted for their verifications on unstructured grids. The numerical results show that Q-QUICK and UQ-QUICK have similar computational accuracy to the central difference scheme and similar numerical stability to upwind difference scheme after applying the deferred correction method. In addition, their corre-sponding CPU times are approximately equivalent to those of traditional difference schemes and their abili-ties for adapting high grid deformation are robust.
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