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Nuclear Science and Techniques 2016年第3期27卷 80-87页

作者： Ya-Lei He Ji-Hao Li Lin-Fan Li jing-bo chen jing-Ye Li School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450002China CAS Center for Excellence on TMSR Energy System Shanghai Institute of Applied PhysicsChinese Academy of SciencesShanghai 201800China

Gamma-ray irradiation technique is an effective method for preparing graphene aerogel(GA).The effective reduction and self-assembly of graphene oxide(GO) sheets into 3D porous GA in ethylenediamine(EDA) aqueous solution under the protection of nitrogen have been achieved via γ-ray *** reduction degree and self-assembly process,which can be controlled by varying EDA dose and irradiation dose,are investigated by X-ray photoelectron spectroscopy,Fourier transform infrared spectroscopy,X-ray diffractometer,and thermogravimetric analysis.A reduction mechanism is proposed for interactions among EDA molecules,active radicals from the radiolysis of water,and oxygen-containing groups on GO sheets.

关键词： γ射线照射氧化石墨乙二胺自组装协同还原溶液傅里叶变换红外光谱 X射线光电子能谱

Machine learning in diagnosis of coronary artery disease

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Chinese Medical Journal 2021年第4期134卷 401-403页

作者： Hao Ling Zi-Yuan Guo Un-Lin Tan Ren-Chu Guan jing-bo chen Chun-Li Department of Cardiology the Second Hospital of Jilin UniversityChangchunJilin 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and TechnologyJilin UniversityChangchunJilin 130012China

Cardiovascular diseases continue to be the foremost cause of death among both males and females worldwide.[1]Coronary artery disease(CAD)represents a major subtype of cardiovascular *** evidence has highlighted a worldwide increase in incidence of CAD clinical manifestations regardless of geographical region.[2]Despite a steady decline in CAD mortality in western countries over the past few decades,approximately one-third of the population suffering from CAD will succumb to the *** and accurate diagnostic decisions are crucial for patients with CAD and aid in guidance for effective treatment.

关键词： CAD diagnosis continue

Self-nucleation of Patterned Polymer Thin Films Defined by Soft Lithography

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Chinese Journal of Polymer Science 2022年第6期40卷 651-657页

作者： Ze-Qian Wang Yi-Meng Wang Xing-Yu Wang Bing-Hua Wang jing-bo chen Chang-Yu Shen Bin Zhang School of Materials Science&Engineering Zhengzhou UniversityZhengzhou 450002China

The nucleation of crystals is often a determining step in the phase transition of materials,but it remains a challenge to control the density and specific location of nuclei *** we fabricated the isolated single crystals of uniform size with controlled number density and spatial distribution by self-nucleation of patterned dendritic *** lithography creates the periodic void space on the surface of poly(ethylene oxide)-b-poly(2-vinyl pyridine)(PEO-b-P2VP)block copolymer thin films and provides spatial redistribution of polymers,leading to the preferential nucleation and subsequent oriented growth of dendrites in the periodic arrays of imprinted *** morphology and thermal stability of the patterned crystals can be adjusted by tuning embossing conditions(e.g.,temperature and pressure).Furthermore,in the self-nucleation technique,the annealing temperature and heating rate are used as the feedback parameters to map the number density and spatial distribution of regrown single *** PEO-b-P2VP crystalline pattern can be used as a versatile template for large-area manufacturing of selective metal patterns for electronic devices and other applications.

关键词： Self-nucleation Imprint lithography Atomic force microscopy Crystallization pattern Selective metal pattern

On Robust Cross-view Consistency in Self-supervised Monocular Depth Estimation

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Machine Intelligence Research 2024年第3期21卷 495-513页

作者： Haimei Zhao jing Zhang Zhuo chen bo Yuan Dacheng Tao School of Computer Science University of SydneySydney2008Australia Shenzhen International Graduate School Tsinghua UniversityShenzhen518055China School of Information Technology&Electrical Engineering University of QueenslandBrisbane4072Australia

Remarkable progress has been made in self-supervised monocular depth estimation (SS-MDE) by exploring cross-view consistency, e.g., photometric consistency and 3D point cloud consistency. However, they are very vulnerable to illumination variance, occlusions, texture-less regions, as well as moving objects, making them not robust enough to deal with various scenes. To address this challenge, we study two kinds of robust cross-view consistency in this paper. Firstly, the spatial offset field between adjacent frames is obtained by reconstructing the reference frame from its neighbors via deformable alignment, which is used to align the temporal depth features via a depth feature alignment (DFA) loss. Secondly, the 3D point clouds of each reference frame and its nearby frames are calculated and transformed into voxel space, where the point density in each voxel is calculated and aligned via a voxel density alignment (VDA) loss. In this way, we exploit the temporal coherence in both depth feature space and 3D voxel space for SS-MDE, shifting the “point-to-point” alignment paradigm to the “region-to-region” one. Compared with the photometric consistency loss as well as the rigid point cloud alignment loss, the proposed DFA and VDA losses are more robust owing to the strong representation power of deep features as well as the high tolerance of voxel density to the aforementioned challenges. Experimental results on several outdoor benchmarks show that our method outperforms current state-of-the-art techniques. Extensive ablation study and analysis validate the effectiveness of the proposed losses, especially in challenging scenes. The code and models are available at https://***/sunnyHelen/RCVC-depth.

关键词： 3D vision depth estimation cross-view consistency self-supervised learning monocular perception

A novel structural variant of RET causes familial Hirschsprung's disease via nonsense-mediated mRNA decay

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Genes & Diseases 2024年第1期11卷 7-10页

作者： Qi Wang Siyu Pu bo Xiang jing chen Department of Pediatric Surgery and Laboratory of Pediatric Surgery Rare Diseases CenterInstitute of Immunology and InflammationFrontiers Science Center for Disease-Related Molecular NetworkWest China HospitalSichuan UniversityChengduSichuan 610041China

Hirschsprung's disease(HsCR)is the most common type of developmental gastrointestinal malformation causing intestinal obstruction in children,with an incidence of 1/5000 in live births.1 it is characterized by the absence of intrinsic ganglion cells in the myenteric and submucosal plexuses of the distal gastrointestinal tract,leading to the dysregulation of smooth muscle contraction/relaxation and resulting in intestinal *** on the length of the aganglionic intestine,HSCR can be categorized into short-segmental HSCR(S-HSCR),which affects up to the sigmoid colon from the anus,and long-segmental HSCR(LHSCR),which affects beyond the sigmoid colon.1 In some rare conditions,aganglionic lesions can affect the full length of the colon or even the whole intestine.

关键词： intestine colon relaxation

Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 344-361页

作者： Yunfeng Hu Chong Zhang bo Wang jing Zhao Xun Gong Jinwu Gao Hong chen State Key Laboratory of Automotive Simulation and Control Jilin UniversityJilin UniversityChangchun 130025China College of Communication Engineering Jilin UniversityJilin UniversityChangchun 130025China Department of Electromechanical Engineering University of MacaoMacao 999078China School of Artificial Intelligence Jilin UniversityChangchun 130012China IEEE College of Electronics and Information Engineering Tongji UniversityShanghai 200092China

Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.

关键词： Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems

Dispersion analysis of an average-derivative optimal scheme for Laplace-domain scalar wave equation

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Dispersion analysis of an average-derivative optimal scheme ...

中国科学院地质与地球物理研究所2014年度（第14届）学术年会

作者： jing-bo chen Chinese Academy of Sciences Key Laboratory of Petroleum Resources ResearchInstitute of Geology and Geophysics

Laplace-domain modeling is an important foundation of Laplace-domain full-waveform ***,dispersion analysis for Laplace-domain numerical schemes has not been completely *** hampers the construction and optimization of Laplace-domain modeling *** defining a pseudowavelength as a scaled skin depth,I establish a method for Laplace-domain numerical dispersion analysis that is parallel to its frequency-domain *** method is then applied to an averagederivative nine-point scheme for Laplace-domain scalar wave *** the relative error of 1%,the Laplace-domain average-derivative optimal scheme requires four grid points per smallest pseudowavelength,whereas the classic five-point scheme requires 13 grid points per smallest pseudowavelength for general directional sampling *** average-derivative optimal scheme is more accurate than the classic five-point scheme for the same sampling *** using much smaller sampling intervals,the classic fivepoint scheme can approach the accuracy of the averagederivative optimal scheme,but the corresponding cost is much higher in terms of storage requirement and computational time.

关键词：

A generalized optimal 9-point scheme for frequency-domain scalar wave equation

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A generalized optimal 9-point scheme for frequency-domain sc...

中国科学院地质与地球物理研究所2013年度（第13届）学术年会

作者： jing-bo chen Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of Sciences

The rotated optimal 9-point scheme for frequency-domain scalar wave equation is widely used in frequency-domain full waveform *** scheme requires equal directional sampling intervals,which limits its applicability. Recently,an average-derivative method was proposed to overcome this ***,the average-derivative method is an algebraic approach,and therefore it does not inherit the geometrical property(coordinate transformations) of the rotated optimal 9-point *** this paper,a geometrical approach is developed,and a generalized optimal 9-point scheme is *** new scheme is based on a directional-derivative method, and includes the rotated optimal 9-point scheme as a special *** the average-derivative method,the number of grid points per wavelength is reduced from approximately 13 to approximately 4 by this new 9-point optimal scheme for both equal and unequal directional sampling intervals in comparison with the classical 5-point scheme. Unlike the average-derivative method,this generalized optimal 9-point scheme shares the geometrical property of the rotated optimal 9-point scheme.

关键词： Seismic numerical modeling Directional derivative Different directional intervals Marmousi model

A 27-point scheme for a 3D frequency-domain scalar wave equation based on an average-derivative method

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A 27-point scheme for a 3D frequency-domain scalar wave equa...

中国科学院地质与地球物理研究所2014年度（第14届）学术年会

作者： jing-bo chen Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of Sciences

Based on an average-derivative method and optimization techniques,a 27-point scheme for a 3D frequency-domain scalar wave equation is *** to the rotated-coordinate approach,the average-derivative optimal method is not only concise but also applies to equal and unequal directional sampling *** resulting 27-point scheme uses a 27-point operator to approximate spatial derivatives and the mass acceleration *** coefficients are determined by minimizing phase velocity dispersion errors and the resultant optimal coefficients depend on ratios of directional sampling *** to the classical 7-point scheme,the number of grid points per shortest wavelength is reduced from approximately 13 to approximately 4 by this 27-point optimal scheme for equal directional sampling intervals and unequal directional sampling intervals as *** numerical examples are presented to demonstrate the theoretical *** average-derivative algorithm is also extended to a 3D frequency-domain viscous scalar wave equation.

关键词： Scalar wave equation Average-derivative method.

Laplace-Fourier-domain dispersion analysis of an average derivative optimal scheme for scalar-wave equation

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Laplace-Fourier-domain dispersion analysis of an average der...

中国科学院地质与地球物理研究所2014年度（第14届）学术年会

作者： jing-bo chen Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of Sciences

By using low-frequency components of the damped wavefield,Laplace-Fourier-domain frill waveform mversion(FWI) can recover a long-wavelength velocity model from the original undamped seismic data lacking low-frequency ***-Fourier-domain modelling is an important foundation of Laplace-Fourier-domain *** on the numerical phase velocity and the numerical attenuation propagation velocity,a method for performing Laplace-Fourier-domain niunerical dispersion analysis is developed in this *** method is applied to an average-derivative optimal *** results show that within the relative error of 1 per cent,the Laplace-Fourier-domain average-derivative optimal scheme requires seven gridpoints per smallest wavelength and smallest pseudo-wavelength for both equal and unequal directional sampling *** contrast,the classical five-point scheme requires23 gridpoints per smallest wavelength and smallest pseudo-wavelength to achieve the same *** experiments demonstrate the theoretical analysis.

关键词： Seismic tomography Computational seismology Wave propagation.