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Now showing items 1 - 6 of 6

  • A novel model of adenine-induced tubulointerstitial nephropathy in mice

    Ting Jia   Hannes Olauson   Karolina Lindberg   Risul Amin   Karin Edvardsson…  

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  • The collinear ↑↑↓↓ magnetism driven ferroelectricity in double-perovskite multiferroics

    Ting Jia   Zhi Zeng   H. Q. Lin  

    The multiferroics of collinear ↑↑↓↓ magnetism driven ferroelectricity is one type of the magnetically driven ferroelectrics, which attracts much attentions due to their strong magnetoelectric coupling. Here, we summarize the recent progress in this multiferroics with double-perovskite crystal structure, besides Y2CoMnO6, Lu2CoMnO6, Y2NiMnO6 and In2NiMnO6 etc.. It is revealed that there are also many uncertainties in present research, making this field fulling of challenges and opportunities.
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  • Optimal design of optical fiber fluorescent thermometry

    Danping Jia   Ting Jia   Lu Gao   Yingwen Lin  

    It is proved that most of the actual fluorescent decays contain non-exponential component. An instability factor is defined to express the goodness of the actual fluorescent decay using in thermometer. The principle of mathematical model established in a fluorescent decay thermometer is discussed. It is critical to establish an accurate mathematical model in temperature measurement based on fluorescent decay; a good mathematical model is the one which is consistent with physical reality. If short of such consistence The traditional single-exponential model would induce much error in higher level precision temperature measurement for it's only a theoretical assumption. A cutting and normalized method and an instability factor are defined to judge the influence of non-exponential deflection of the fluorescent decay curve. The principle of establishing a mathematical model is discussed. Its pointed out that the matching of the mathematical model and the data processing method are essentially important for the measurement; the deducing conclusions such as data processing precisions; experimental and simulation results are uncertainty as applying to actual fluorescent material. Prony method having the potential capability in dealing with multi-exponential decay model also is pointed out. The above conclusions are evaluated by computer simulations and experiments.
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  • The gastrointestinal tract microbiota of northern white-cheeked gibbons (Nomascus leucogenys) varies with age and captive condition

    Ting Jia   Sufen Zhao   Katrina Knott   Xiaoguang Li   Yan Liu   Ying Li   Yuefei Chen   Minghai Yang   Yanping Lu   Junyi Wu   Chenglin Zhang  

    Nutrition and health of northern white-cheeked gibbons (Nomascus leucogenys) are considered to be primarily influenced by the diversity of their gastrointestinal tract (GIT) microbiota. However, the precise composition, structure, and role of the gibbon GIT microbiota remain unclear. Microbial communities from the GITs of gibbons from Nanning (NN, n = 36) and Beijing (BJ, n = 20) Zoos were examined through 16S rRNA sequencing. Gibbon’s GITs microbiomes contained bacteria from 30 phyla, dominated by human-associated microbial signatures: Firmicutes, Bacteroidetes, and Proteobacteria. Microbial species richness was markedly different between adult gibbons (>8 years) under distinct captive conditions. The relative abundance of 14 phyla varied significantly in samples of adults in BJ versus NN. Among the age groups examined in NN, microbiota of adult gibbons had greater species variation and richer community diversity than microbiota of nursing young (<6 months) and juveniles (2–5 years). Age-dependent increases in the relative abundances of Firmicutes and Fibrobacteres were detected, along with simultaneous increases in dietary fiber intake. A few differences were detected between sex cohorts in NN, suggesting a very weak correlation between sex and GIT microbiota. This study is the first to taxonomically identify gibbon’s GITs microbiota confirming that microbiota composition varies with age and captive condition.
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  • The Chlorophyll <em>b</em> Reductase NOL Participates in Regulating the Antenna Size of Photosystem II in <em>Arabidopsis Thaliana</em>

    Ting Jia   Hisashi Ito   Ayumi Tanaka  

    Abstract Chlorophyll exists as chlorophyll-protein complexes in thylakoid membranes. The light-harvesting complexes of photosystem II (LHCII) and CP43/CP47 are the peripheral and core antenna, respectively, of the photosystem. Chlorophyll b exists in LHCII but not in the core antenna complex, suggesting that the LHCII level is closely related to the amount of chlorophyll b . The first step of the degradation of chlorophyll b is catalysed by chlorophyll b reductase (NYC1 and NOL). In this report, study found that the chlorophyll content was significantly lower and that the chlorophyll a / b ratio was higher in NOL over-expressing Arabidopsis thaliana plants than in wild type plants. Low temperature fluorescence spectra of the leaves and western blotting analysis revealed that photosystem II had a small antenna size in the NOL over-expressing plants. These results suggest that NOL is involved in the regulation of the antenna size of photosystem II.
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  • Visual saliency estimation using constraints

    Meng Jian   Lifang Wu   Cheolkon Jung   Qingtao Fu   Ting Jia  

    Abstract In this paper, we propose visual saliency estimation using constraints. Based on the observations that salient regions are generally distinctive from the background, we define visual saliency as the possibility of being assigned to the label of the most salient region. First, we generate an initial saliency map for a given image at the superpixel level using superpixel segmentation and three common priors. Then, we select salient and non-salient seeds from the initial saliency map to generate adaptive constraints. Adaptive constraints are able to propagate the seed information adaptively by their correlations. Finally, we produce the visual saliency map by propagating saliency seeds to the whole image using a learned non-linear kernel mapping. Experimental results demonstrate that kernel learning and seed propagation are capable of learning distinctive saliency from images.
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