40 results on '"Yuanbo, Yang"'
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2. Manipulation of the ratio of Li + /Zn 2+ on the structure and persistent luminescence property of Li 2 Zn 0.9992 Ge 3 O 8 :0.08%Cr 3+
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Rui Li, Panlai Li, Guohui Wei, Jiehong Li, Yawei Shi, Ye Wang, Shaoxuan He, Yuanbo Yang, Wenge Ding, and Zhijun Wang
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Materials Chemistry ,Ceramics and Composites - Published
- 2023
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3. Tb3+-based multi-mode optical ratiometric thermometry
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Zixuan Zhang, Fei Li, Yuanbo Yang, Zhijun Wang, Panlai Li, Rongxiang Zhang, Hao Suo, and Leipeng Li
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General Physics and Astronomy ,Physical and Theoretical Chemistry - Abstract
Luminescence intensity ratio and single-band ratiometric thermometries have been achieved in one material.
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- 2023
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4. Sm 3+ ‐based single‐band ratiometric thermometer with tunable sensitivity
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Yuanbo Yang, Panlai Li, Zixuan Zhang, Zhijun Wang, Hao Suo, and Leipeng Li
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Materials Chemistry ,Ceramics and Composites - Published
- 2022
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5. Pr3+-based single-band optical ratiometric thermometry
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Yuanbo Yang, Panlai Li, Zixuan Zhang, Zhijun Wang, Hao Suo, and Leipeng Li
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Process Chemistry and Technology ,Materials Chemistry ,Ceramics and Composites ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials - Published
- 2022
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6. Gradient Structure Information-Guided Attention Generative Adversarial Networks for Remote Sensing Image Generation
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Tan, Baoyu Zhu, Qunbo Lv, Yuanbo Yang, Kai Zhang, Xuefu Sui, Yinhui Tang, and Zheng
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remote sensing image generation ,generative adversarial networks (GANs) ,structural information ,attention mechanism ,object detection ,deep learning - Abstract
A rich and effective dataset is an important foundation for the development of AI algorithms, and the quantity and quality of the dataset determine the upper limit level of the algorithms. For aerospace remote sensing datasets, due to the high cost of data collection and susceptibility to meteorological and airway conditions, the existing datasets have two problems: firstly, the number of datasets is obviously insufficient, and, secondly, there is large unevenness between different categories in datasets. One of the effective solutions is to use neural networks to generate fake data by learning from real data, but existing methods still find difficulty in generating remote sensing sample images with good texture detail and geometric distortion. To address the shortcomings of existing image generation algorithms, this paper proposes a gradient structure information-guided attention generative adversarial network (SGA-GAN) for remote sensing image generation, which contains two innovative initiatives: on the one hand, a learnable gradient structure information extraction branch network can be added to the generator network to obtain complex structural information in the sample image, thus alleviating the distortion of the sample geometric structure in remote sensing image generation; on the other hand, a multidimensional self-attention feature selection module is proposed to further improve the quality of the generated remote sensing images by connecting cross-attentive modules as well as spatial and channel attention modules in series to guide the generator to better utilize global information. The algorithm proposed in this paper outperformed other methods, such as StyleGAN-XL and FastGAN, in both the qualitative and quantitative evaluation, whereby the FID on the DOTA dataset decreased by 23.927 and the IS was improved by 2.351. The comparison experiments show that the method proposed in this paper can generate more realistic sample images, and images generated by this method can improve object detection metrics by increasing the number of single-category datasets and the number of targets in fewer categories in multi-category datasets, which means it can be effectively used in the field of intelligent processing of remote sensing images.
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- 2023
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7. Near-Infrared Broadband ZnTa2O6:Cr3+ Phosphor for pc-LEDs and Its Application to Nondestructive Testing
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Shaoxuan He, Panlai Li, Yinti Ren, Guohui Wei, Ye Wang, Yuanbo Yang, Rui Li, Jiehong Li, Yawei Shi, Xingqiang Shi, and Zhijun Wang
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Inorganic Chemistry ,Physical and Theoretical Chemistry - Published
- 2022
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8. Achievement of high efficiency and thermally stable near-infrared phosphors by designing a chromium crystallographic environment for nondestructive testing and night vision
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Guohui Wei, Panlai Li, Rui Li, Ye Wang, Hao Suo, Yuanbo Yang, Shaoxuan He, Jiehong Li, Yawei Shi, and Zhijun Wang
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Materials Chemistry ,General Materials Science - Abstract
XTaO4:Cr3+ presents a high internal/external quantum efficiency and good thermal stability.
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- 2022
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9. One-Sided Unsupervised Image Dehazing Network Based on Feature Fusion and Multi-Scale Skip Connection
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Yuanbo Yang, Qunbo Lv, Baoyu Zhu, Xuefu Sui, Yu Zhang, and Zheng Tan
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Fluid Flow and Transfer Processes ,Process Chemistry and Technology ,General Engineering ,General Materials Science ,image dehazing ,generative adversarial network ,contrastive learning ,Instrumentation ,Computer Science Applications - Abstract
Haze and mist caused by air quality, weather, and other factors can reduce the clarity and contrast of images captured by cameras, which limits the applications of automatic driving, satellite remote sensing, traffic monitoring, etc. Therefore, the study of image dehazing is of great significance. Most existing unsupervised image-dehazing algorithms rely on a priori knowledge and simplified atmospheric scattering models, but the physical causes of haze in the real world are complex, resulting in inaccurate atmospheric scattering models that affect the dehazing effect. Unsupervised generative adversarial networks can be used for image-dehazing algorithm research; however, due to the information inequality between haze and haze-free images, the existing bi-directional mapping domain translation model often used in unsupervised generative adversarial networks is not suitable for image-dehazing tasks, and it also does not make good use of extracted features, which results in distortion, loss of image details, and poor retention of image features in the haze-free images. To address these problems, this paper proposes an end-to-end one-sided unsupervised image-dehazing network based on a generative adversarial network that directly learns the mapping between haze and haze-free images. The proposed feature-fusion module and multi-scale skip connection based on residual network consider the loss of feature information caused by convolution operation and the fusion of different scale features, and achieve adaptive fusion between low-level features and high-level features, to better preserve the features of the original image. Meanwhile, multiple loss functions are used to train the network, where the adversarial loss ensures that the network generates more realistic images and the contrastive loss ensures a meaningful one-sided mapping from the haze image to the haze-free image, resulting in haze-free images with good quantitative metrics and visual effects. The experiments demonstrate that, compared with existing dehazing algorithms, our method achieved better quantitative metrics and better visual effects on both synthetic haze image datasets and real-world haze image datasets.
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- 2022
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10. Near-Infrared Broadband ZnTa
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Shaoxuan, He, Panlai, Li, Yinti, Ren, Guohui, Wei, Ye, Wang, Yuanbo, Yang, Rui, Li, Jiehong, Li, Yawei, Shi, Xingqiang, Shi, and Zhijun, Wang
- Abstract
Broadband near-infrared (NIR) phosphors are necessary materials for developing portable NIR light sources. Moreover, exploiting an NIR phosphor with a main peak located beyond a wavelength of 900 nm remains a challenge because this spectral range has great potential in biological nondestructive testing and solution testing. In this study, a range of Cr
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- 2022
11. Research of Pedestrian Object Tracking Algorithms
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Hao Zuo, Yuanbo Yang, and Lin Cao
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- 2022
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12. Endothelial Protection of Vasoactive Intestinal Peptide Enhances Angiogenesis Mediated by eNOS Pathway Following Focal Cerebral Ischemia in Rats
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Jie Yang, Chang Yang, YuanBo Yang, Ning Jia, QinRu Sun, and ShengFeng Ji
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Drug Discovery ,Molecular Medicine ,Bioengineering ,Biochemistry ,Analytical Chemistry - Published
- 2022
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13. A Structurally Constrained Informer for UWB Positioning Distance Filtering Used in Speed-Skating Training
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Yuanbo Yang, Feimo Li, Yanyan Xu, and Hongxing Chang
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- 2022
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14. Cesium acetate-assisted crystallization for high-performance inverted CsPbI
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Tiantian, Li, Yue, Wu, Zhou, Liu, Yuanbo, Yang, Haowen, Luo, Ludong, Li, Peng, Chen, Xueping, Gao, and Hairen, Tan
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Efficient inverted (p-i-n) type CsPbI
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- 2022
15. Chromium(III)-Doped Phosphors of High-Efficiency Two-Site Occupation Broadband Infrared Emission for Vessel Visualization Applications
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Guohui Wei, Panlai Li, Rui Li, Jiehong Li, Yawei Shi, Ye Wang, Shaoxuan He, Yuanbo Yang, Hao Suo, and Zhijun Wang
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Inorganic Chemistry ,Chromium ,Luminescence ,Humans ,Physical and Theoretical Chemistry ,Occupations - Abstract
The exploration of efficient broadband near-infrared (NIR) emitting materials is essential to establishing new NIR applications. In this work, an excellent NIR phosphor Mg
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- 2022
16. Eu
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Yuanbo, Yang, Leipeng, Li, Hao, Suo, Panlai, Li, Zhijun, Wang, and Zhiguo, Zhang
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Recently, single-band ratiometric (SBR) thermometry becomes a hot-spot in the research field of optical thermometry. Here we propose a new SBR thermometry by combining the temperature-induced red shift of charge transfer state (CTS) of W-O and Eu-O with the ground state absorption (GSA) and excited state absorption (ESA) of Eu
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- 2022
17. A Multidimensional Spectral Transformer with Channel-Wise Correlation for Hyperspectral Image Classification
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Kai Zhang, Zheng Tan, Jianying Sun, Baoyu Zhu, Yuanbo Yang, and Qunbo Lv
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Fluid Flow and Transfer Processes ,Process Chemistry and Technology ,General Engineering ,General Materials Science ,hyperspectral image classification ,transformer ,channel-wise correlation ,Instrumentation ,Computer Science Applications - Abstract
Convolutional neural networks (CNNs) have been developed as an effective strategy for hyperspectral image (HSI) classification. However, the lack of feature extraction by CNN networks is due to the network failing to effectively extract global features and poor capability in distinguishing between different feature categories that are similar. In order to solve these problems, this paper proposes a novel approach to hyperspectral image classification using a multidimensional spectral transformer with channel-wise correlation. The proposed method consists of two key components: an input mask and a channel correlation block. The input mask is used to extract relevant spectral information from hyperspectral images and discard irrelevant information, reducing the dimensionality of the input data and improving classification accuracy. The channel correlation block captures the correlations between different spectral channels and is integrated into the transformer network to improve the model’s discrimination power. The experimental results demonstrate that the proposed method achieves great performance with several benchmark hyperspectral image datasets. The input mask and channel correlation block effectively improve classification accuracy and reduce computational complexity.
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- 2023
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18. Super-Resolution Multicomponent Joint-Interferometric Fabry–Perot-Based Technique
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Yu Zhang, Qunbo Lv, Yinhui Tang, Peidong He, Baoyv Zhu, Xuefu Sui, Yuanbo Yang, Yang Bai, and Yangyang Liu
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Fluid Flow and Transfer Processes ,interferometric imaging ,Fabry–Perot interferometer ,joint-interference of multi-split components ,Process Chemistry and Technology ,General Engineering ,General Materials Science ,Instrumentation ,Computer Science Applications - Abstract
We propose a new spectral super-resolution technique combined with a Fabry–Perot interferometer (FPI) and an interferometric hyperspectral imager. To overcome the limitation of the maximal optical path difference (OPD) on the spectral resolution, the object spectrum is periodically modulated based on the FPI, and an optical Fourier transform of the modulated spectrum information is performed using a double-beam interferometer to obtain an interferogram. Drawing on the concept of nonlinear structured light microscopy, the displacement of the high-frequency interference information in the interferogram after adding the FPI is analyzed to restore the high-frequency interference information and improve the spectral resolution. The optical system has a compact structure with little impact on complexity, spectral range, or luminous flux. Our simulation results show that this method can realize multicomponent joint-interference imaging to obtain spectral super-resolution information. The effects of the FPI’s reflectance and interval are analyzed, and the reflectance needs to be within 20~80% and the interval must be as close as possible to the maximum optical range of the interferometer. Compared with previous, related innovations, this innovation has the advantages of higher system stability, higher data utilization, and better suitability for interferometric imaging spectrometers.
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- 2023
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19. A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation
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Xuefu Sui, Qunbo Lv, Liangjie Zhi, Baoyu Zhu, Yuanbo Yang, Yu Zhang, and Zheng Tan
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convolutional neural networks ,hardware friendly ,network compression ,regular pruning ,LR tracking ,high parallelism ,Electrical and Electronic Engineering ,Biochemistry ,Instrumentation ,Atomic and Molecular Physics, and Optics ,Analytical Chemistry - Abstract
To address the problems of large storage requirements, computational pressure, untimely data supply of off-chip memory, and low computational efficiency during hardware deployment due to the large number of convolutional neural network (CNN) parameters, we developed an innovative hardware-friendly CNN pruning method called KRP, which prunes the convolutional kernel on a row scale. A new retraining method based on LR tracking was used to obtain a CNN model with both a high pruning rate and accuracy. Furthermore, we designed a high-performance convolutional computation module on the FPGA platform to help deploy KRP pruning models. The results of comparative experiments on CNNs such as VGG and ResNet showed that KRP has higher accuracy than most pruning methods. At the same time, the KRP method, together with the GSNQ quantization method developed in our previous study, forms a high-precision hardware-friendly network compression framework that can achieve “lossless” CNN compression with a 27× reduction in network model storage. The results of the comparative experiments on the FPGA showed that the KRP pruning method not only requires much less storage space, but also helps to reduce the on-chip hardware resource consumption by more than half and effectively improves the parallelism of the model in FPGAs with a strong hardware-friendly feature. This study provides more ideas for the application of CNNs in the field of edge computing.
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- 2023
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20. Host-dopant-based luminescent thermometry with adjustable sensitivity
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Yuanbo Yang, Panlai Li, Zixuan Zhang, Zhijun Wang, Hao Suo, Rongxiang Zhang, and Leipeng Li
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Inorganic Chemistry ,Organic Chemistry ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,Atomic and Molecular Physics, and Optics ,Spectroscopy ,Electronic, Optical and Magnetic Materials - Published
- 2023
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21. Ultra-sensitive luminescence ratiometric thermometry from 2E→4A2 transitions of AlTaO4:Cr3+
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Guohui Wei, Zhijun Wang, Rui Li, Ye Wang, Leipeng Li, Jiehong Li, Yawei Shi, Shaoxuan He, Yuanbo Yang, Hao Suo, and Panlai Li
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Atomic and Molecular Physics, and Optics - Abstract
In recent years, non-contact ratiometric luminescence thermometry has continued to gain popularity among researchers, owing to its compelling features, such as high accuracy, fast response, and convenience. The development of novel optical thermometry with ultrahigh relative sensitivity (Sr) and temperature resolution has become a frontier topic. In this work, we present a novel, to the best of our knowldege, luminescence intensity ratio (LIR) thermometry method that relies on AlTaO4:Cr3+ materials, based on the fact that they possess both anti-Stokes phonon sideband emission and R-line emission at the 2E→4A2 transitions and have been confirmed to follow the Boltzmann distribution. In the temperature range 40–250 K, the emission band of the anti-Stokes phonon sideband shows an upward trend, while the bands of the R-lines show the opposite downward trend. Relying on this fascinating feature, the newly proposed LIR thermometry achieves a maximum relative sensitivity of 8.45%K−1 and a temperature resolution of 0.038 K. Our work is expected to provide guiding insights for optimizing the sensitivity of Cr3+-based LIR thermometers and provide some novel entry points for designing excellent and reliable optical thermometers.
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- 2022
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22. Effect of ZnO content on microstructure, crystallization behavior, and thermal properties of xZnO-30B2O3-(65-x)Bi2O3-5BaO glass
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Lang Wu, Feng Jiang, Chen Hua, Cheng Junhua, Yuancheng Teng, Yuanbo Yang, and Jie Lei
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010302 applied physics ,Materials science ,Softening point ,Annealing (metallurgy) ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Microstructure ,01 natural sciences ,Thermal expansion ,Electronic, Optical and Magnetic Materials ,Amorphous solid ,law.invention ,Chemical engineering ,law ,0103 physical sciences ,Thermal ,Materials Chemistry ,Ceramics and Composites ,Crystallization ,0210 nano-technology ,Glass transition - Abstract
xZnO-30B2O3-(65-x)Bi2O3-BaO (x = 40–60 mol%) glasses were prepared by the melt quenching method. The microstructure, crystallization behavior, and thermal properties of the glasses were investigated. The results show that the samples with 40–55 mol% ZnO possess an amorphous structure after melting at 950 °C. When the ZnO content increases to 60 mol%, the sample possesses strip-shaped Zn3B2O6 crystals after melting at 950 °C, and becomes homogenous glass at 1050 °C. The thermal expansion coefficient (TEC) decreases from 10.294 to 7.43 × 10−6/°C when the ZnO content increases from 40 to 60 mol%. Both the glass transition temperature and glass softening temperature increase with increasing ZnO content. In addition, needle-shaped Bi2ZnB2O7 crystals are observed on the glass surface after annealing at crystallization temperatures for 1 h, and the amount of crystals decreases with increasing ZnO content. Furthermore, the weight loss ratio of the glasses increases gradually as the content of ZnO increases. After 48 h, the magnitude of weight loss value in 6 wt% of HNO3 or NaOH solution at 90 °C is 10−3 g/cm3∙min while it is 10−7 g/cm3∙min in deionized water.
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- 2019
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23. Microstructure, sulfate retention, and aqueous stability of barite-borosilicate glass-ceramics
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Yuancheng Teng, Liguo Xu, Lang Wu, Yuxiang Li, Jie Lei, Yuanbo Yang, and Feng Jiang
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Nuclear and High Energy Physics ,Aqueous solution ,Materials science ,Borosilicate glass ,Analytical chemistry ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Microstructure ,01 natural sciences ,010305 fluids & plasmas ,Amorphous solid ,chemistry.chemical_compound ,Nuclear Energy and Engineering ,chemistry ,Phase (matter) ,0103 physical sciences ,General Materials Science ,Leaching (metallurgy) ,Solubility ,Sulfate ,0210 nano-technology - Abstract
In order to increase the solubility of sulfate in glass matrix, barite−borosilicate glass-ceramics were proposed and prepared by melt quenching method. The effects of SO3 addition (in the form of BaSO4, 0–8 wt%, abbreviated as S0 S8) on microstructure, phase structure, and aqueous stability of barite–borosilicate glass-ceramics were studied. The sulfate retention of the glass-ceramics was evaluated. The results show that the samples with addition of 0–4 wt% SO3 possess the amorphous structure. Barite phase appears when the addition SO3 content increases to 5 wt%, and the amount of barite crystals increases with further increasing SO3 content. Furthermore, BaSO4 in borosilicate glass melts is more stable than that of Na2SO4. The sample S4 possesses SiO2 and BaSO4 phases in temperature range of 800–1150 °C. The SO3 content in the sample S4 remains almost unchanged when the temperature increases from 800 to 1050 °C, and decreases rapidly with further increasing temperature. About 2.17 wt% of SO3 can be retained in the sample S6 after melting at 1200 °C. Moreover, the normalized leaching rates of Na and B of the samples S4, S6, and S8 after 28 days are one order of magnitude higher than that of the sample S0. The sample S6 has a lower normalized leaching rate of SO42− (∼1.28 × 10−2 g m−2 d−1) after 28 days.
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- 2019
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24. Blind Deblurring of Remote-Sensing Single Images Based on Feature Alignment
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Baoyu, Zhu, Qunbo, Lv, Yuanbo, Yang, Xuefu, Sui, Yu, Zhang, Yinhui, Tang, and Zheng, Tan
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Motion ,Image Processing, Computer-Assisted ,remote sensing ,image deblurring ,generative adversarial networks ,feature alignment ,feature selection ,deep learning ,Electrical and Electronic Engineering ,Biochemistry ,Instrumentation ,Algorithms ,Atomic and Molecular Physics, and Optics ,Analytical Chemistry - Abstract
Motion blur recovery is a common method in the field of remote sensing image processing that can effectively improve the accuracy of detection and recognition. Among the existing motion blur recovery methods, the algorithms based on deep learning do not rely on a priori knowledge and, thus, have better generalizability. However, the existing deep learning algorithms usually suffer from feature misalignment, resulting in a high probability of missing details or errors in the recovered images. This paper proposes an end-to-end generative adversarial network (SDD-GAN) for single-image motion deblurring to address this problem and to optimize the recovery of blurred remote sensing images. Firstly, this paper applies a feature alignment module (FAFM) in the generator to learn the offset between feature maps to adjust the position of each sample in the convolution kernel and to align the feature maps according to the context; secondly, a feature importance selection module is introduced in the generator to adaptively filter the feature maps in the spatial and channel domains, preserving reliable details in the feature maps and improving the performance of the algorithm. In addition, this paper constructs a self-constructed remote sensing dataset (RSDATA) based on the mechanism of image blurring caused by the high-speed orbital motion of satellites. Comparative experiments are conducted on self-built remote sensing datasets and public datasets as well as on real remote sensing blurred images taken by an in-orbit satellite (CX-6(02)). The results show that the algorithm in this paper outperforms the comparison algorithm in terms of both quantitative evaluation and visual effects.
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- 2022
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25. A Hardware-Friendly Low-Bit Power-of-Two Quantization Method for CNNs and Its FPGA Implementation
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Xuefu Sui, Qunbo Lv, Yang Bai, Baoyu Zhu, Liangjie Zhi, Yuanbo Yang, and Zheng Tan
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convolutional neural networks ,hardware-friendly ,low-bit quantization ,shift operation ,hardware resource occupancy ,Computers ,Neural Networks, Computer ,Electrical and Electronic Engineering ,Biochemistry ,Instrumentation ,Algorithms ,Atomic and Molecular Physics, and Optics ,Analytical Chemistry - Abstract
To address the problems of convolutional neural networks (CNNs) consuming more hardware resources (such as DSPs and RAMs on FPGAs) and their accuracy, efficiency, and resources being difficult to balance, meaning they cannot meet the requirements of industrial applications, we proposed an innovative low-bit power-of-two quantization method: the global sign-based network quantization (GSNQ). This method involves designing different quantization ranges according to the sign of the weights, which can provide a larger quantization-value range. Combined with the fine-grained and multi-scale global retraining method proposed in this paper, the accuracy loss of low-bit quantization can be effectively reduced. We also proposed a novel convolutional algorithm using shift operations to replace multiplication to help to deploy the GSNQ quantized models on FPGAs. Quantization comparison experiments performed on LeNet-5, AlexNet, VGG-Net, ResNet, and GoogLeNet showed that GSNQ has higher accuracy than most existing methods and achieves “lossless” quantization (i.e., the accuracy of the quantized CNN model is higher than the baseline) at low-bit quantization in most cases. FPGA comparison experiments showed that our convolutional algorithm does not occupy on-chip DSPs, and it also has a low comprehensive occupancy in terms of on-chip LUTs and FFs, which can effectively improve the computational parallelism, and this proves that GSNQ has good hardware-adaptation capability. This study provides theoretical and experimental support for the industrial application of CNNs.
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- 2022
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26. Carotid arterial wall MRI of apolipoprotein e-deficient mouse at 7 T using DANTE-prepared variable-flip-angle rapid acquisition with relaxation enhancement
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Yanqiu Feng, Qiang Liu, Ming Zhao, Guoxi Xie, Yingjie Mei, Yuanbo Yang, Yihao Guo, Jian Lyu, and Zhonghao Li
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medicine.diagnostic_test ,Apolipoprotein B ,biology ,Chemistry ,Pulse (signal processing) ,Biomedical Engineering ,Biophysics ,Lumen (anatomy) ,Magnetic resonance imaging ,Signal-To-Noise Ratio ,medicine.disease ,Stenosis ,Mice ,Nuclear magnetic resonance ,Apolipoproteins E ,Carotid Arteries ,Imaging, Three-Dimensional ,Flip angle ,Linear regression ,Angiography ,medicine ,biology.protein ,Animals ,Radiology, Nuclear Medicine and imaging ,Magnetic Resonance Angiography - Abstract
PURPOSE To optimize a sequence combining the delay alternating with nutation for tailored excitation (DANTE) preparative module with the variable-flip-angle rapid acquisition with relaxation enhancement (VF-RARE) sequence (DANTE-VF-RARE) and to investigate its feasibility for vessel wall imaging in Apolipoprotein E-Deficient (ApoE-/-) mouse at 7 Tesla (T). MATERIALS AND METHODS Specific T1/T2 values were used for producing a sharper vessel wall in the variable-flip-angle optimization scheme. The DANTE RF pulse flip angle and pulse train length were optimized for maximizing the wall-lumen contrast. ApoE-/- (fed high fat diet for 20/40/ 60 weeks, n = 9/4/4) and wild-type mice (controls, n = 3) were imaged at 7 T using VF-RARE, DANTE-VF-RARE, time-of-flight (TOF) angiography, and multi-slice T1-weighted 2D RARE coupled with inflow outflow saturation bands (IOSB-RARE). Wall-lumen contrast-to-noise-ratio efficiency (CNReff), lumen area (LA), and wall area (WA) were compared between DANTE-VF-RARE and 2D IOSB-RARE sequences. Additionally, linear regression analysis was conducted between MR measurements and histomorphometric planimetry results. RESULTS Residual blood signal was observed in the four out of eighteen carotids on VF-RARE images, whereas it was significantly suppressed on DANTE-VF-RARE images. Compared with IOSB-RARE, DANTE-VF-RARE offered significantly improved CNReff (P
- Published
- 2021
27. Efficient near-infrared broadband garnet phosphor for pc-LED and its application to vascular visualization and night vision
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Ye Wang, Zhijun Wang, Guohui Wei, Yuanbo Yang, Shaoxuan He, Jiehong Li, Yawei Shi, Rui Li, Hao Suo, and Panlai Li
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Atomic and Molecular Physics, and Optics - Abstract
Ultra-broadband near-infrared (NIR) spectroscopy has unparalleled application prospects in intelligent detection and phosphor-converted light-emitting diodes (pc-LED), which are most likely to become the next generation of NIR light sources, has become a hot spot for research nowadays. To cope with the demand for more NIR spectroscopy applications, more efficient NIR phosphors need to be developed. Here, by screening the subject with a smaller band gap and by screening the suitable ion electronegativity of the lattice position where the Cr3+ is located, and then through the energy transfer, a series of Gd3Zn2GaGe2O12:xCr3+, yYb3+ (GZGG:Cr3+/Yb3+) NIR broadband garnet phosphors were found for the first time. By controlling the energy transfer process, the internal quantum yield (IQY) (54.9%), external quantum yield (EQY) (24.65%), bandwidth (260 nm), and thermal stability (60% at 150 °C) of NIR emission were substantially improved. The obtained phosphors are packaged with blue light chips into pc-LED, which can be applied in different fields such as vascular visualization and night vision.
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- 2022
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28. Enhancement of Near‐Infrared Phosphor Luminescence Properties via Construction of Stable and Compact Energy Transfer Paths
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Guohui Wei, Zhijun Wang, Rui Li, Ye Wang, Jiehong Li, Yawei Shi, Shaoxuan He, Yuanbo Yang, Zhiping Yang, and Panlai Li
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Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials - Published
- 2022
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29. Cesium acetate-assisted crystallization for high-performance inverted CsPbI3 perovskite solar cells
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Tiantian Li, Yue Wu, Zhou Liu, Yuanbo Yang, Haowen Luo, Ludong Li, Peng Chen, Xueping Gao, and Hairen Tan
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Mechanics of Materials ,Mechanical Engineering ,General Materials Science ,Bioengineering ,General Chemistry ,Electrical and Electronic Engineering - Abstract
Efficient inverted (p–i–n) type CsPbI3 perovskite solar cells (PSCs) have revealed promising applications due to their excellent thermal and photostability. Regulating the nucleation and crystallization of perovskite film is an important route to improving the performance of CsPbI3 PSCs. Herein, we explored cesium acetate (CsAc) as additive to manipulate the crystallization process of CsPbI3 perovskite films. By involving in the intermediate phase DMA1-x Cs x PbI3-y Ac y of perovskite, the pseudo-halide acetate (Ac−) can retard the ion exchange reaction between DMA+ and Cs+, leading to a perovskite with dense morphology, low defect density, and a long carrier lifetime. As a result, the optimal CsPbI3 PSCs yielded a high power conversion efficiency of 18.3%. Moreover, the encapsulated devices showed excellent operational stability and the devices retained their initial performance following 500 h of operation at the maximum power point under one-sun illumination in ambient conditions.
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- 2022
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30. Ultra-Broadband and high efficiency Near-Infrared Gd3Zn Ga5-2Ge O12:Cr3+ (x = 0–2.0) garnet phosphors via crystal field engineering
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Ye Wang, Zhijun Wang, Guohui Wei, Yuanbo Yang, Shaoxuan He, Jiehong Li, Yawei Shi, Rui Li, Jiawei Zhang, and Panlai Li
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General Chemical Engineering ,Environmental Chemistry ,General Chemistry ,Industrial and Manufacturing Engineering - Published
- 2022
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31. Highly Efficient and Stable Near‐Infrared Broadband Garnet Phosphor for Multifunctional Phosphor‐Converted Light‐Emitting Diodes
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Ye Wang, Zhijun Wang, Guohui Wei, Yuanbo Yang, Shaoxuan He, Jiehong Li, Yawei Shi, Rui Li, Jiawei Zhang, and Panlai Li
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Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials - Published
- 2022
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32. Protection of Vasoactive Intestinal Peptide on the Blood-Brain Barrier Dysfunction Induced by Focal Cerebral Ischemia in Rats
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Jie Yang, Chang Yang, YuanBo Yang, Ning Jia, and QinRu Sun
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Rehabilitation ,Endothelial Cells ,Brain Edema ,Infarction, Middle Cerebral Artery ,Brain Ischemia ,Rats ,Rats, Sprague-Dawley ,Blood-Brain Barrier ,Animals ,Humans ,Surgery ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,Vasoactive Intestinal Peptide - Abstract
To investigate the effects of vasoactive intestinal peptide on the blood brain barrier function after focal cerebral ischemia in rats.Rats were intracerebroventricular injected with vasoactive intestinal peptide after a two hours middle cerebral artery occlusion. Functional outcome was studied with the neurological severity score. The brain edema and the infarction were evaluated via histology. The blood brain barrier permeability was assessed using Evans Blue dye injection method. We also measure the apoptosis of brain microvascular endothelial cells and brain levels of B-cell leukemia-2 protein by immunohistochemical analysis and western blotting, respectively.In contrast to the cases treated with vehicle at 72 h after middle cerebral artery occlusion, the treatment with vasoactive intestinal peptide significantly (P 0.05) reduced the neurological severity score, the brain edema and infarct volume. The Evans Blue leakage and brain water content were obviously reduced (P 0.05) in vasoactive intestinal peptide-treated rats compared with those of control rats at 72 and 96 h after stroke. In addition, vasoactive intestinal peptide decreased the numbers of terminal deoxynucleotidyl transferase-mediated dUTP-nick end labeling positive endothelial cells and increased the protein levels of B-cell leukemia-2 in the ischemic hemisphere at 72 h after ischemia.Our data suggest that treatment with vasoactive intestinal peptide ameliorates the blood brain barrier function, contributing to reduce in brain damage both morphologically and functionally in the ischemic rat. This amelioration may be associated with attenuation in apoptosis of brain microvascular endothelial cells by increased B-cell leukemia-2 expression.
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- 2022
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33. Eu3+-based dual-excitation single-emission luminescent ratiometric thermometry
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Yuanbo Yang, Leipeng Li, Hao Suo, Panlai Li, Zhijun Wang, and Zhiguo Zhang
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Atomic and Molecular Physics, and Optics - Abstract
Recently, single-band ratiometric (SBR) thermometry becomes a hot-spot in the research field of optical thermometry. Here we propose a new SBR thermometry by combining the temperature-induced red shift of charge transfer state (CTS) of W-O and Eu-O with the ground state absorption (GSA) and excited state absorption (ESA) of Eu3+. The emitting intensity of the 5D0-7F2 transition of Eu3+ is monitored under CTS, GSA and ESA excitations at different temperatures. It is found that the SBR thermometry, depending on the combination of [GSA + CTS] of Eu3+ doped calcium tungstate, has the highest relative sensitivity of 1.25% K−1 at 573 K, higher than conventional luminescent ratiometric thermometry such as the 2H11/2 and 4S3/2 thermally coupled states of Er3+.
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- 2021
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34. Raman signatures of defects-dependent vibration modes in boron doped monolayer to multilayer graphene
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Yuanbo Yang, Yi Liu, Guorui Wang, Xiao-Li Li, and Mingming Yang
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Quenching ,Materials science ,Graphene ,Analytical chemistry ,chemistry.chemical_element ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,law.invention ,010309 optics ,symbols.namesake ,chemistry ,law ,Normal mode ,0103 physical sciences ,Monolayer ,symbols ,Electrical and Electronic Engineering ,0210 nano-technology ,Boron ,Raman spectroscopy ,Saturation (magnetic) ,Carbon - Abstract
Raman spectroscopy has been widely utilized to investigate the properties of graphene materials and defect effects due to external injection. We presented a detailed Raman spectroscopy study of boron-doped single-layer to six-layer graphene with three different concentrations of substitutional boron atoms as ∼0.16 wt. %, ∼0.48 wt. %, and ∼0.76 wt. %. The Raman signatures of G, 2D, and defect-dependent modes were illustrated. The properties of these modes were revealed with enhanced boron contents and increased layer number. The behaviors of defect-dependent modes reached a plateau when boron content was larger than 0.48 wt. % to show the saturation of interaction between boron and carbon atoms. These modes upshifted with increasing layer number because boron defects in diff ;erent layers interacted with each other by the cascade quenching. Our study provides a detailed investigation of how boron doping changed the properties of graphene layers by defect effects. The results will induce great potential for applications in optoelectronic devices.
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- 2021
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35. Enhancing the thermoelectric performance of Cu3SnS4-based solid solutions through coordination of the Seebeck coefficient and carrier concentration
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Jinzhi Wang, Yuanbo Yang, Xianglian Liu, Yimin Chao, Zhengliang Du, Jiaolin Cui, and Pengzhan Ying
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010302 applied physics ,Materials science ,Phonon scattering ,Renewable Energy, Sustainability and the Environment ,Fermi level ,Analytical chemistry ,02 engineering and technology ,General Chemistry ,021001 nanoscience & nanotechnology ,Thermoelectric materials ,01 natural sciences ,symbols.namesake ,Seebeck coefficient ,0103 physical sciences ,Thermoelectric effect ,symbols ,General Materials Science ,0210 nano-technology ,Ternary operation ,Stoichiometry ,Solid solution - Abstract
Improving the thermoelectric (TE) performance of Cu3SnS4 is challenging because it exhibits a metallic behavior, therefore, a strategy should be envisaged to coordinate the carrier concentration (nH) and Seebeck coefficient (α). The coordination in this work has been realized through the Fermi level (Ef) unpinning and shifting towards the conduction band (CB) via addition of excess Sn in Cu3SnS4. As a result, the solid solution Cu3Sn1+xS4 (x = 0.2) has a moderate α (178.0 μV K−1) at 790 K and a high nH (1.54 × 1021 cm−3) value. Along with the lowest lattice thermal conductivity κL (0.39 W K−1 m−1) caused by the increased phonon scattering by carriers, the highest ZT value of 0.75 is attained at ∼790 K. This value is 2.8 times that of the stoichiometric Cu3SnS4, and stands among the highest for ternary Cu–Sn–S sulfide thermoelectrics at the corresponding temperatures. More importantly, this approach used in the case of ternary Cu3SnS4 provides a guidance or reference to improve the TE performance of other materials.
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- 2017
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36. HOXB2 and FOXC1 synergistically drive the progression of Wilms tumor
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Lin Deng, Cheng Wang, Lixin Zhang, Jiaqiong Zou, Yuanbo Yang, Dan Zhao, and Peng Jing
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Adult ,Male ,0301 basic medicine ,Lymphatic metastasis ,Clinical Biochemistry ,Tumor Staging ,Wilms Tumor ,Cell Line ,Pathology and Forensic Medicine ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Downregulation and upregulation ,Cell Movement ,medicine ,Humans ,3' Untranslated Regions ,Molecular Biology ,Cell Proliferation ,Homeodomain Proteins ,Gene knockdown ,Base Sequence ,business.industry ,Advanced stage ,Positive interaction ,Forkhead Transcription Factors ,Wilms' tumor ,medicine.disease ,eye diseases ,030104 developmental biology ,030220 oncology & carcinogenesis ,Disease Progression ,Cancer research ,Female ,sense organs ,business ,Protein Binding ,Transcription Factors - Abstract
Objective To uncover the expression patterns of HOXB2 and FOXC1 in Wilms tumor samples, and their synergistical regulations on the development of Wilms tumor. Methods Expression levels of HOXB2 and FOXC1 in 58 cases of Wilms tumor tissues and paracancerous ones were detected. The influences of HOXB2 and FOXC1 on prognosis in Wilms tumor patients were analyzed. Their regulatory effects on proliferative and migratory abilities in WT-CLS1 and HFWT cells were examined by cell counting kit-8 (CCK-8) and Transwell assay, respectively. The interaction between HOXB2 and FOXC1, and their synergistical regulation on the development of Wilms tumor were finally explored. Results HOXB2 and FOXC1 were upregulated in Wilms tumor tissues. Higher levels of HOXB2 and FOXC1 indicated higher risks of advanced stage and lymphatic metastasis, as well as worse prognosis in Wilms tumor patients. Knockdown of HOXB2 or FOXC1 weakened proliferative and migratory abilities in WT-CLS1 and HFWT cells, while the opposite trends were observed in those overexpressing HOXB2 or FOXC1. The positive interaction between HOXB2 and FOXC1 was identified, which synergistically drove the malignant development of Wilms tumor. Conclusions HOXB2 and FOXC1 are upregulated in Wilms tumor samples, and they are closely linked to tumor staging and lymphatic metastasis in Wilms tumor patients. HOXB2 and FOXC1 synergistically drive the malignant development of Wilms tumor by stimulating proliferative and migratory potentials.
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- 2020
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37. Control and stability analysis of networked mobile robots under time-delays and uncertainty
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Yuanbo Yang and Yiwei Feng
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0209 industrial biotechnology ,Time delays ,020901 industrial engineering & automation ,Control theory ,Computer science ,Control (management) ,0202 electrical engineering, electronic engineering, information engineering ,Stability (learning theory) ,Linear matrix inequality ,020201 artificial intelligence & image processing ,Mobile robot ,02 engineering and technology ,Transition rate matrix - Abstract
This paper deals with the description of the control strategy of Networked Mobile Robots Systems(NMRSs). It is seen that all the features of the NMRSs such as time-varying delay and uncertain transition rate matrix play important roles in the system analysis and synthesis of finite-time stability. Though time-varying delay and uncertainty existing at the same time, two conditions checking its robust finite-time stability are proposed by a mode-dependent parameter approach, which are different from some existing methods. Then the sufficient conditions for the existence of the state-feedback controller are provided based on Linear Matrix Inequality (LMIs). Finally, numerical examples are used to demonstrate the effectiveness and superiority of the proposed methods.
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- 2018
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38. A new face detection algorithm based on skin color segmentation
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Chenggang Xie, Yuanbo Yang, Du Liebo, and Qin Lu
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Color histogram ,Segmentation-based object categorization ,Computer science ,Color image ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Scale-space segmentation ,Pattern recognition ,HSL and HSV ,Image segmentation ,Color space ,Object-class detection ,Computer Science::Computer Vision and Pattern Recognition ,RGB color model ,Segmentation ,Computer vision ,Artificial intelligence ,Face detection ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
In this paper, a new face detection approach based on skin color segmentation is presented. First, the color image is converted into YCgCrcolor space from RGB, because the performance of clustering is excellent in YCgCr color space. We get the segmented image by using the algorithm of support vector machine in YCgCr color space. Finally, we offer a face verification algorithm according to the geometric features of face after morphological operation to wide off non-face areas. Experimental results show that the method is valid, fast and suitable for rapid detection system.
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- 2015
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39. Design and Implementation of Video Content Classification Algorithm Based on Face Recognition
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Yuanbo Yang, Shu Tang, Wu Xiaokang, and Chenggang Xie
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Computer science ,business.industry ,Video tracking ,Content (measure theory) ,Frame (networking) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Computer vision ,Artificial intelligence ,business ,Facial recognition system ,Video compression picture types ,Abstraction (linguistics) - Abstract
To further facilitate users' quick browsing the behaviors and expressions of the characters in videos, in which they are interested, we need to classify the according person's frame images in accordance with the contents of the group scene. In this paper, we use the technology of face recognition to classify the frame images of different person which are coupling in the video, and then we form the video abstraction of different person.
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- 2015
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40. Research on Traffic Safety Evaluation of Expressway Based on Rough Set and RBF Neural Network
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Yuanbo Yang, Weifeng Fan, Shunfeng Guo, and Baoyu Shang
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Engineering ,Index (economics) ,Traffic analysis ,Index system ,Artificial neural network ,Basis (linear algebra) ,business.industry ,computer.software_genre ,Transport engineering ,Radial basis function ,Performance measurement ,Data mining ,Rough set ,business ,computer - Abstract
For the current situation of expressway traffic safety, a research is conducted by applying Rough Set and RBF (Radial Basis Function) Neural Network. On the basis of the comprehensive analysis of the factors affecting expressway traffic safety, from the systematic viewpoint, an index system of expressway traffic safety evaluation is established. Firstly, the index system is classified by rough set, to clear and a definite important influential index. Then, based on the classification of the evaluation index, the comprehensive evaluation model of RBF Neural Network for expressway traffic safety is established to evaluate the traffic safety of expressway in a certain area. The result proves that this method is scientific, reasonable and feasible, which has a broad prospect of application.
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- 2011
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