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Now showing items 1 - 16 of 48

  • Novel GNAQ mutation(R183G) of Port-wine stains: first case in East Asia

    Cai, Ren   Gu, Hao   Liu, Fatao   Wang, Lizhen   Zeng, Xiaojing   Yu, Wenxin   Zhang, Xiaolin   Liu, Yun   Ma, Gang   Lin, Xiaoxi  

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  • Estimation of extreme wind speed in SCS and NWP by a non-stationary model

    Wang, Lizhen   Li, Jiachun  

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  • Grey target decision-making model of interval grey number based on cone volume

    Wang, Lizhen   Qian, Wuyong  

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  • A clique-based approach for co-location pattern mining

    Bao, Xuguang   Wang, Lizhen  

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  • Top-kprobabilistic prevalent co-location mining in spatially uncertain data sets

    Wang, Lizhen   Han, Jun   Chen, Hongmei   Lu, Junli  

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  • Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets

    Wang, Lizhen   Wu, Pinping   Chen, Hongmei  

    A spatial colocation pattern is a group of spatial features whose instances are frequently located together in geographic space. Discovering colocations has many useful applications. For example, colocated plant species discovered from plant distribution data sets can contribute to the analysis of plant geography, phytosociology studies, and plant protection recommendations. In this paper, we study the colocation mining problem in the context of uncertain data, as the data generated from a wide range of data sources are inherently uncertain. One straightforward method to mine the prevalent colocations in a spatially uncertain data set is to simply compute the expected participation index of a candidate and decide if it exceeds a minimum prevalence threshold. Although this definition has been widely adopted, it misses important information about the confidence which can be associated with the participation index of a colocation. We propose another definition, probabilistic prevalent colocations, trying to find all the colocations that are likely to be prevalent in a randomly generated possible world. Finding probabilistic prevalent colocations (PPCs) turn out to be difficult. First, we propose pruning strategies for candidates to reduce the amount of computation of the probabilistic participation index values. Next, we design an improved dynamic programming algorithm for identifying candidates. This algorithm is suitable for parallel computation, and approximate computation. Finally, the effectiveness and efficiency of the methods proposed as well as the pruning strategies and the optimization techniques are verified by extensive experiments with ldquoreal + syntheticrdquo spatially uncertain data sets.
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  • A study on relationship between pulsatile tinnitus and temporal bone pneumatization grade

    Tian, Shan   Fan, Xingyu   Wang, Yawei   Liu, Zhaohui   Wang, Lizhen  

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  • Effective Lossless Condensed Representation and Discovery of Spatial Co-location Patterns

    Wang, Lizhen   Bao, Xuguang   Chen, Hongmei   Cao, Longbing  

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  • Effect of combining traction and vibration on back muscles, heart rate and blood pressure

    Wang, Lizhen   Zhao, Meiya   Ma, Jian   Tian, Shan   Xiang, Pin   Yao, Wei   Fan, Yubo  

    Eighty-five percent of the population has experienced low back pain (LBP), which may result in decreasing muscle strength and endurance, functional capacity of the spine, and so on. Traction and vibration are commonly used to relieve the low back pain. The effect of the combing traction and vibration on back muscles, heart rate (HR) and blood pressure (BP) was investigated in this study. Thirty healthy subjects participated in 12 trials lying supine on the spine-combing bed with different tilt angle (0 degrees, 10 degrees, 20 degrees and 30 degrees) and vibration modes (along with the sagittal and coronal axis with 0 Hz, 2 Hz and 12 Hz separately). EMG was recorded during each trial. Power spectral frequency analysis was applied to evaluate muscle fatigue by the shift of median power frequency (MPF). Pulse pressure (PP) was calculated from BP. HR and PP were used to estimate the effect of the combination of traction and vibration on the cardio-vascular system. It was shown that vibration could increase HR and decrease PP. The combination of traction and vibration (2 Hz vibration along Z-axis and 12 Hz vibration along Y-axis) had no significant effect on the cardio-vascular system. The MPF of lumbar erector spinae (LES) and upper trapezius (UT) decreased significantly when the angle reached 20 degrees under the condition of 2 Hz vibration along Z-axis compared with it of 0 degrees. Furthermore, the MPF also decreased significantly compared with it of static mode at 20 degrees for LES and at 30 degrees for UT. However at 12 Hz vibration along Y-axis, the MPF had significant increase when the angle reached 20 degrees in LES and 30 degrees in UT compared to 0 degrees. For LES, the MPF also had significant difference when the angle was increased from 10 degrees to 20 degrees. Therefore, combining 2 Hz vibration along Z-axis and traction (tilt angles that less than 20 degrees) may to reduce muscle fatigue both for LES and UT compared with either vibration or traction alone. The combination of 12 Hz vibration along Y-axis and traction (tilt angles greater than 10 degrees for LES and more than 20 degrees for UT) could provide good treatment of lower muscle fatigue for back pain compared with either vibration or traction alone. It is helpful to provide biomechanical quantitative basis for the selection of the clinical treatment methods. (C) 2014 IPEM. Published by Elsevier Ltd. All rights reserved.
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  • Femtosecond Mode-locked Fiber Laser at 1 μm Via Optical Microfiber Dispersion Management

    Wang, Lizhen   Xu, Peizhen   Li, Yuhang   Han, Jize   Guo, Xin   Cui, Yudong   Liu, Xueming   Tong, Limin  

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  • Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer

    Wang, Lizhen   Shen, Xiaokun   Xie, Bojian   Ma, Zhaosheng   Chen, Xiaobing   Cao, Feilin  

    Long non-coding RNAs (lncRNAs) are subclass of noncoding RNAs that have been recently shown to play critical roles in cancer biology. However, little is known about their mechanistic role in breast cancer pathogenesis, especially in triple-negative breast carcinomas (TNBC) that have particular poor outcomes.This study was specifically designed to identify the signatures relevant lncRNAs in breast cancer and characterize lncRNAs that modulate the phenotype. Here we provide detailed methods and analysis of microarray data, which is deposited in the Gene Expression Omnibus (GEO) with the accession number GSE64790. The basic analysis as contained in the manuscript published in Oncotarget with the PMID 26078338. These data can be used to further elucidate the mechanisms of breast cancer.
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  • CD147 promotes progression of head and neck squamous cell carcinoma via NF-kappa B signaling

    Yu, Binbin   Zhang, Yan   Wu, Kailiu   Wang, Lizhen   Jiang, Yingying   Chen, Wantao   Yan, Ming  

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  • New Nonlinear Systems Admitting Virasoro-Type Symmetry Algebra and Group-Invariant Solutions

    Wang, Lizhen   Huang, Qing   Di, Yanmei  

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  • Theranostic radioiodine-labelled melanin nanoparticles inspired by clinical brachytherapy seeds

    Sheng, Jie   Wang, Xinyu   Yan, Junjie   Pan, Donghui   Yang, Runlin   Wang, Lizhen   Xu, Yuping   Yang, Min  

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  • Mining maximal sub-prevalent co-location patterns

    Wang, Lizhen   Bao, Xuguang   Zhou, Lihua   Chen, Hongmei  

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  • Redundancy Reduction for Prevalent Co-location Patterns

    Wang, Lizhen   Bao, XuGuang   Zhou, Lihua  

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