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19篇 您的检索式:作者名="GUO Jingming"
    题名 作者 年代 出处 被引量
1Magnetic resonance imaging for non-invasive clinical evaluation of normal and regenerated cartilage显示文摘With the development of tissue engineering and regenerative medicine,it is much desired to establish bioimaging techniques to monitor the real-time regeneration efficacy in vivo in a non-invasive way.Herein,we tried magnetic resonance imaging(MRI)to evaluate knee cartilage regeneration after implanting a biomaterial scaffold seeded with chondrocytes,namely,matrix-induced autologous chondrocyte implantation(MACI).After summary of the T2 mapping and the T1-related delayed gadolinium-enhanced MRI imaging of cartilage(dGEMRIC)in vitro and in vivo in the literature,these two MRI techniques were tried clinically.In this study,18 patients were followed up for 1 year.It was found that there was a significant difference between the regeneration site and the neighboring normal site(control),and the difference gradually diminished with regeneration time up to 1 year according to both the quantitative T1 and T2 MRI methods.We further established the correlation between the quantitative evaluation of MRI and the clinical Lysholm scores for the first time.Hence,the MRI technique was confirmed to be a feasible semiquantitative yet non-invasive way to evaluate the in vivo regeneration of knee articular cartilage.Xian Xu Jingming Gao Shuyun Liu Liang Chen Min Chen Xiaoye Yu Ning Ma Jun Zhang Xiaobin Chen Lisen Zhong Lin Yu Liming Xu Quanyi Guo Jiandong Ding 2021Regenerative Biomaterials2021,8,5:2
2False-positive-free SVD- based Image Watermarking 显示文摘Guo Jingming Prasetyo H 2014Journal of Visual Com- munication and Image Representation2014,25,5:1
3Complexity Reduced Face Detec- tion Using Probability-based Face Mask Prefiltering and Pixel -Based Hierarchical -feature Adaboosting 显示文摘Guo Jingming Lin Chenchi 2011IEEE Signal Processing Letters2011,18,8:1
4PRL-3 and PRL-1 promote cell migration, invasion, and metastasis 显示文摘Zeng Qi Dong Jingming Guo Ke 2003Cancer Res2003,63,11:1
5License plate localiza- tion and character segmentation with feedback self- learning and hybrid binarization techniques 显示文摘Guo Jingming LIU Yunfu 2008IEEE Transaction on Vehicular Technology2008,57,3:1
6False-positive-free SVD- based image watermarking显示文摘Guo Jingming Prasetyo Heri 2014Journal of Visual Com- munication and Image Representation2014,25,2014:1
7Hierarchical method for foreground detection using codebook model显示文摘GUO Jingming LIU Yanfei Hsia C H 2011Circuits and Systems for Video Technology2011,21,6:1
8Promoter and coding sequence diversity of CsCCD1 may contribute to the differential accumulation of floralβ-ionone in fresh tea leaves显示文摘The carotenoid-derived volatileβ-ionone makes an important contribution to tea fragrance.Here,we qualitatively and quantitatively analysed 15 carotenoids in tea leaves of 13 cultivars by UHPLC-APCI-MS/MS.The 13 cultivars were divided into two groups by PCA(Principal Component Analysis)clustering analysis of their carotenoid content,and OPLS-DA(Orthogonal projections to latent structures)indicated that the levels ofβ-carotene(VIP=2.89)and lutein(VIP=2.30)were responsible for much of the variation between the two groups.Interestingly,theβ-carotene toβ-ionone conversion rates in Group 1 were higher than in Group 2,while theβ-carotene content was significantly lower in Group 1 than in Group 2.Theβ-ionone content was significantly higher in Group 1.Pearson Correlation Coefficient calculation between the transcription level of candidate genes(CsCCD1 and CsCCD4)and the accumulation ofβ-ionone indicated that CsCCD1 may involve in the formation ofβ-ionone in 13 cultivars.Prokaryotic expression and in vitro enzyme activity assays showed that‘Chuanhuang 1’had an amino acid mutation in carotenoid cleavage dioxygenases 1(CsCCD1)compared with‘Shuchazao’,resulting in a significantly higherβ-ionone content in‘Chuanhuang 1’.Sequence analysis showed that‘Chuanhuang 1’and‘Huangdan’had different CsCCD1 promoter sequences,leading to significantly higher CsCCD1 expression andβ-ionone accumulation in‘Chuanhuang 1’.These results indicated that the promoter and coding sequence diversity of CsCCD1 might contribute to the differential accumulation ofβ-ionone in different tea cultivars.Jingming Wang Mingyue Zhao Ting Gao Yingying Feng Feiquan Wang Yuting Pan Jieyang Jin Tingting Jing Mengqian Lu Mengting Zhang Danyang Guo Xiaochun Wan Wilfried Schwab Chuankui Song 2023Horticultural Plant Journal2023,9,4:1
9Improved block truncation coding based on the void-and-cluster dithering approach显示文摘Guo Jingming Wu Mingfeng 2009IEEE Trans- actions on Image Processing2009,18,1:1
10Hiding multitone watemarks in halftone images显示文摘Jingming Guo Yunfu Liu 0,,01:1
11Joint compression watermarking scheme using majority-parity guidance and halftoning-based block trun- cation coding显示文摘Guo Jingming Liu Yunfu 2010IEEE Transactions on Image Processing2010,19,7:1
12Novel robust watermarking technique in dithering halftone images显示文摘 Guo Jingming Lee Hua 2005IEEE Signal Processing Letters2005,12,4:1
13License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques显示文摘Guo Jingming Liu Yunfu 2008IEEE Transactions on Vehicular Technology2008,57,3:1
14Inverse Halftoning Based on the Bayesian Theorem显示文摘Liu Yunfu Guo Jingming Lee Jiann Der 2011IEEE Transactions on lmageProcessing2011,20,4:1
15The Signless Laplacian Spectral Radius of Tricyclic Graphs with k Pendant Vertices显示文摘In this paper,we determine the unique graph with the largest signless Laplacian spectral radius among all the tricyclic graphs with n vertices and k pendant vertices.Jingming ZHANG Jiming GUO 2012Journal of Mathematical Research with Applications2012,32,3:0
16Volatile compound-mediated plant-plant interactions under stress with the tea plant as a model显示文摘Plants respond to environmental stimuli via the release of volatile organic compounds(VOCs),and neighboring plants constantly monitor and respond to these VOCs with great sensitivity and discrimination.This sensing can trigger increased plant fitness and reduce future plant damage through the priming of their own defenses.The defense mechanism in neighboring plants can either be induced by activation of the regulatory or transcriptional machinery,or it can be delayed by the absorption and storage of VOCs for the generation of an appropriate response later.Despite much research,many key questions remain on the role of VOCs in interplant communication and plant fitness.Here we review recent research on the VOCs induced by biotic(i.e.insects and pathogens)and abiotic(i.e.cold,drought,and salt)stresses,and elucidate the biosynthesis of stress-induced VOCs in tea plants.Our focus is on the role of stress-induced VOCs in complex ecological environments.Particularly,the roles of VOCs under abiotic stress are highlighted.Finally,we discuss pertinent questions and future research directions for advancing our understanding of plant interactions via VOCs.Jieyang Jin Mingyue Zhao Tingting Jing Mengting Zhang Mengqian Lu Guomeng Yu Jingming Wang Danyang Guo Yuting Pan Timothy D.Hoffmann Wilfried Schwab Chuankui Song 2023Horticulture Research2023,10,9:0
17Blockchain-Based MCS Detection Framework of Abnormal Spectrum Usage for Satellite Spectrum Sharing Scenario显示文摘In this paper, the problem of abnormal spectrum usage between satellite spectrum sharing systems is investigated to support multi-satellite spectrum coexistence. Given the cost of monitoring, the mobility of low-orbit satellites, and the directional nature of their signals, traditional monitoring methods are no longer suitable, especially in the case of multiple power level. Mobile crowdsensing(MCS), as a new technology, can make full use of idle resources to complete a variety of perceptual tasks. However, traditional MCS heavily relies on a centralized server and is vulnerable to single point of failure attacks. Therefore, we replace the original centralized server with a blockchain-based distributed service provider to enable its security. Therefore, in this work, we propose a blockchain-based MCS framework, in which we explain in detail how this framework can achieve abnormal frequency behavior monitoring in an inter-satellite spectrum sharing system. Then, under certain false alarm probability, we propose an abnormal spectrum detection algorithm based on mixed hypothesis test to maximize detection probability in single power level and multiple power level scenarios, respectively. Finally, a Bad out of Good(BooG) detector is proposed to ease the computational pressure on the blockchain nodes. Simulation results show the effectiveness of the proposed framework.Ning Yang Heng Wang Jingming Hu Bangning Zhang Daoxing Guo Yuan Liu 2024China Communications2024,21,2:0
18Revealing alkali metal ions transport mechanism in the atomic channels of Au@a-MnO_(2)显示文摘Understanding alkali metal ions’(e.g.,Li^(+)/Na^(+)/K^(+))transport mechanism is challenging but critical to improving the performance of alkali metal batteries.Herein using a-MnO_(2)nanowires as cathodes,the transport kinetics of Li^(+)/Na^(+)/K^(+)in the 2×2 channels of a-MnO_(2)with a growth direction of[001]is revealed.We show that ion radius plays a decisive role in determining the ion transport and electrochemistry.Regardless of the ion radii,Li^(+)/Na^(+)/K^(+)can all go through the 2×2 channels of a-MnO_(2),generating large stress and causing channel merging or opening.However,smaller ions such as Li^(+)and Na^(+)cannot only transport along the[001]direction but also migrate along the<110>direction to the nanowire surface;for large ion such as K^(+),diffusion along the<110>direction is prohibited.The different ion transport behavior has grand consequences in the electrochemistry of metal oxygen batteries(MOBs).For Li-O_(2)battery,Li^(+)transports uniformly to the nanowire surface,forming a uniform layer of oxide;Na^(+)also transports to the nanowire surface but may be clogged locally due to its larger radius,therefore sporadic pearl-like oxides form on the nanowire surface;K^(+)cannot transport to the nanowire surface due to its large radius,instead,it breaks the nanowire locally,causing local deposition of potassium oxides.The study provides atomic scale understanding of the alkali metal ion transport mechanism which may be harnessed to improve the performance of MOBs.Jingzhao Chen Yong Su Hongjun Ye Yushu Tang Jitong Yan Zhiying Gao Dingding Zhu Jingming Yao Xuedong Zhang Tingting Yang Baiyu Guo Hui Li Qiushi Dai Yali Liang Jun Ma Bo Wang Haiming Sun Qiunan Liu Jing Wang Congcong Du Liqiang Zhang Yongfu Tang Jianyu Huang 2023Journal of Energy Chemistry2023,,7:0
19In situ Observation of Li Deposition-Induced Cracking in Garnet Solid Electrolytes显示文摘Lithium(Li)penetration through solid electrolytes(SEs)induces short circuits in Li solid-state batteries(SSBs),which is a critical issue that hinders the development of high energy density SSBs.While cracking in ceramic SEs has been often shown to accompany Li penetration,the interplay between Li deposition and cracking remains elusive.Here,we constructed a mesoscale SSB inside a focused ion beam-scanning electron microscope(FIB-SEM)for in situ observation of Li deposition-induced cracking in SEs at nanometer resolution.Our results revealed that Li propagated predominantly along transgranular cracks in a garnet Li_(6.4)La_(3)Zr_(1.4)Ta_(0.6)O_(12)(LLZTO).Cracks appeared to initiate from the interior of LLZTO beneath the electrode surface and then propagated by curving toward the LLZTO surface.The resulting bowl-shaped cracks resemble those from hydraulic fracture caused by high fluid pressure on the surface of internal cracks,suggesting that the Li deposition-induced pressure is the major driving force of crack initiation and propagation.The high pressure generated by Li deposition is further supported by in situ observation of the flow of filled Li between the crack flanks,causing crack widening and propagation.This work unveils the dynamic interplay between Li deposition and cracking in SEs and provides insight into the mitigation of Li dendrite penetration in SSBs.Jun Zhao Yongfu Tang Qiushi Dai Congcong Du Yin Zhang Dingchuan Xue Tianwu Chen Jingzhao Chen Bo Wang Jingming Yao Ning Zhao Yanshuai Li Shuman Xia Xiangxin Guo Stephen J.Harris Liqiang Zhang Sulin Zhang Ting Zhu Jianyu Huang 2022Energy & Environmental Materials2022,5,2:0
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