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Now showing items 1 - 16 of 2251

  • Remarks on the Article “On the Stability of Wavelet and Gabor Frames (Riesz Bases)” by J. Zhang

    Niklas Grip   Wenchang Sun  

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  • Remarks on the Article "On the Stability of Wavelet and Gabor Frames (Riesz Bases)" by J. Zhang

    Niklas Grip and Wenchang Sun  

    This article consists of some remarks on stability results forGabor and wavelet frames fromZhang Jing (J. Fourier Anal. Appl.5, (1999), 105–125),as well as a correction of a proof of a multivariate version of theKadec's 1/4-theorem in the same article.
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  • Reply to J. Zhang et al

    Bohanes, P.   Yang, D.   Lenz, H.-J.  

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  • A comment on ‘Absolute stability of a class of neural networks with unbounded delay’ by J. Zhang

    Jiye Zhang  

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  • J. Zhang and G. Rokosh (eds): Cardiac Gene Expression, Methods in Molecular Biology Series, Vol. 366

    Stuart Nicklin  

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  • Cooperative Advertising with Accrual Rate in a Dynamic Supply Chain

    J. Zhang   Q. Gou   S. Li   Z. Huang  

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  • Effects of bisphenol A on chlorophyll fluorescence in five plants

    J. Zhang   L. Wang   M. Li   L. Jiao   Q. Zhou   X. Huang  

    The aim of this study was to evaluate the effects of bisphenol A (BPA) on plant photosynthesis and determine whether the photosynthetic response to BPA exposure varies in different plants. Chlorophyll fluorescence techniques were used to investigate the effects of BPA on chlorophyll fluorescence parameters in tomato (Lycopersicum esculentum), lettuce (Lactuca sativa), soybean (Glycine max), maize (Zea mays), and rice (Oryza sativa) seedlings. Low-dose (1.5 or 3.0 mg L−1) BPA exposure improved photosystem II efficiency, increased the absorption and conversion efficiency of primary light energy, and accelerated photosynthetic electron transport in each plant, all of which increased photosynthesis. These effects weakened or disappeared after the withdrawal of BPA. High-dose (10.0 mg L−1) BPA exposure damaged the photosystem II reaction center, inhibited the photochemical reaction, and caused excess energy to be released as heat. These effects were more evident after the highest BPA dose (17.2 mg L−1), but they weakened after the withdrawal of BPA. The magnitude of BPA exposure effects on the chlorophyll fluorescence parameters in the five plants followed the order: lettuce > tomato > soybean > maize > rice. The opposite order was observed following the removal of BPA. In conclusion, the chlorophyll fluorescence response in plants exposed to BPA depended on BPA dose and plant species.
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  • KBaBP2O8:Tm3+: a novel blue-emitting phosphor with high color purity

    B. Han   J. Zhang   P. J. Li   H. Z. Shi  

    A series of novel blue emitting K1 + x Ba1 - 2x Tm (x) BP2O8 (0.01 a parts per thousand currency sign x a parts per thousand currency sign 0.08) phosphors were synthesized by a solid-state reaction at a high temperature for the first time. The phase purity and photoluminescence properties were investigated by X-ray diffraction (XRD) and fluorescence spectroscopy (FS) measurements, respectively. The influence of the doping concentration of Tm3+ on its relative emission intensity was investigated, and the critical distance was calculated. The as-prepared phosphor can be effectively excited with a 356-nm light, and exhibit blue emission at 457 nm with high color purity. The above work indicates this phosphor could be a potential candidate as blue emitting phosphor for application in white light-emitting diodes.
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  • Genome-wide association-mapping for fruit quality traits in tomato

    J. Zhang   J. Zhao   Y. Liang   Z. Zou  

    A diverse collection of 174 tomato plants was selected, including 123 accessions of cherry tomato (So lanum lycopersicum var. cerasiforme) and 51 accessions of heirloom cultivars (So lanum lycopersicum). Association-mapping for fruit nutritional and quality traits was conducted with 182 SSR using the mixed linear models. A total of 111 marker-trait associations (MTAs) (P < 0.005) were detected for ten measured traits. Most association loci were detected for fruit equatorial diameter, ascorbic acid and fruit weight, with 22, 22, 17 marker-trait associations, respectively. Co-localised quantitative trait loci (QTLs) and significant associations are compared, such as fw2.2, fw11.1, ED2a, brx2.1, PD3a, and PD9a, which validate this study. Moreover, we also compared previous genome-wide association studies and confirmed certain identified MTAs (e.g. CON30D-472, Z1707-10D) or genes, such as Solyc11g071840.1.1. Our results confirm some QTLs and highlight some new candidate chromosome regions with potential for further tomato fruit quality breeding.
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  • ATM functions at the peroxisome to induce pexophagy in response to ROS

    J. Zhang   D. N. Tripathi   J. Jing   A. Alexander   J. Kim   R. T. Powell   R. Dere   J. Tait-mulder   J. Lee   T. T. Paull   R. K. Pandita   V. K. Charaka   T. K. Pandita   M. B. Kastan   C. L. Walker  

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  • Visual Analytics of User Influence and Location-Based Social Networks

    J. Zhang   J. Chae   S. Afzal   A. Malik   D. Thom   Y. Jang   T. Ertl   S. A. Matei   D. S. Ebert  

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  • III-V nanowire photovoltaics: Review of design for high efficiency

    R. R. LaPierre   A. C. E. Chia   S. J. Gibson   C. M. Haapamaki   J. Boulanger   R. Yee   P. Kuyanov   J. Zhang   N. Tajik   N. Jewell and K. M. A. Rahman  

    This article reviews recent developments in nanowire-based photovoltaics (PV) with an emphasis on III–V semiconductors including growth mechanisms, device fabrication and performance results. We first review the available nanowire growth methods followed by control of nanowire growth direction and crystal structure. Important device issues are reviewed, including optical absorption, carrier collection, strain accommodation, design for high efficiency, tunnel junctions, Ohmic contact formation, passivation and doping. Performance data of III–V nanowire cells and the primary challenges in nanowire PV are summarized. Many of the issues discussed here are also applicable to other nanowire devices such as photodetectors. (
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  • An Efficient and Scalable Image Filtering Framework Using VIPS Fusion

    J. Zhang   X.H. Chen   Y. Zhao and H. Li  

    Edge-preserving image filtering is a valuable tool for a variety of applications in image processing and computer vision. Motivated by a new simple but effective local Laplacian filter, we propose a scalable and efficient image filtering framework to extend this edge-preserving image filter and construct an uniform implementation in O (N) time. The proposed framework is built upon a practical global-to-local strategy. The input image is first remapped globally by a series of tentative remapping functions to generate a virtual candidate image sequence (Virtual Image Pyramid Sequence, VIPS). This sequence is then recombined locally to a single output image by a flexible edge-aware pixel-level fusion rule. To avoid halo artifacts, both the output image and the virtual candidate image sequence are transformed into multi-resolution pyramid representations. Four examples, single image dehazing, multi-exposure fusion, fast edge-preserving filtering and tone-mapping, are presented as the concrete applications of the proposed framework. Experiments on filtering effect and computational efficiency indicate that the proposed framework is able to build a wide range of fast image filtering that yields visually compelling results.
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  • A presentation of two clinic cases of Hypomelanosis of Ito and epilepsy

    J. Zhang  

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  • Incremental extreme learning machine based on deep feature embedded

    J. Zhang   S. Ding   N. Zhang   Z. Shi  

    Extreme learning machine (ELM) algorithm is used to train Single-hidden Layer Feed forward Neural Networks. And Deep Belief Network (DBN) is based on Restricted Boltzmann Machine (RBM). The conventional DBN algorithm has some insufficiencies, i.e., Contrastive Divergence (CD) Algorithm is not an ideal approximation method to Maximum Likelihood Estimation. And bad parameters selected in RBM algorithm will produce a bad initialization in DBN model so that we will spend more training time and get a low classification accuracy. To solve the problems above, we summarize the features of extreme learning machine and deep belief networks, and then propose Incremental extreme learning machine based on Deep Feature Embedded algorithm which combines the deep feature extracting ability of Deep Learning Networks with the feature mapping ability of extreme learning machine. Firstly, we introduce Manifold Regularization to our model to attenuate the complexity of probability distribution. Secondly, we introduce the semi-restricted Boltzmann machine (SRBM) to our algorithm, and build a deep belief network based on SRBM. Thirdly, we introduce the thought of incremental feature mapping in ELM to the classifier of DBN model. Finally, we show validity of the algorithm by experiments.
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  • Diode pumped highly efficient Yb:Lu3Al5O12 ceramic laser

    C.W. Xu   D.W. Luo   J. Zhang   H. Yang   X.P. Qin   W.D. Tan and D.Y. Tang  

    A diode pumped ytterbium-doped lutetium aluminum garnet (Yb:LuAG) ceramic laser is reported for the first time to our knowledge. Using the solid state reactive vacuum sintering technique we have successfully fabricated high optical quality Yb:LuAG ceramics. We show that even with an uncoated Yb:LuAG ceramic sample a maximum output power of 7 W could be achieved under 13 W absorbed pump power, and the laser has a slope efficiency as high as 63%. Considering that Yb:LuAG has higher thermal conductivity than Yb:YAG under heavy doping situation, Yb:LuAG ceramic could be an attractive laser gain medium for the high power solid state lasers applications. (
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