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中西医结合视域下的中医理论创新探讨

医学与哲学 2023年第1期44卷 60-62页

作者：屈可伸邢玉瑞陕西中医药大学第二临床医学院陕西咸阳712046 陕西中医药大学基础医学院陕西咸阳712046

中西医结合研究历经半个多世纪的发展,其对中医学术发展的价值至今争议不断,特别是一些持有中医特色发展论的学者,对中西医结合研究的价值多持否定态度。但从当代中医理论创新的角度,分析中西医结合研究的价值,可以发现中西医结合研究... 详细信息

中西医结合研究历经半个多世纪的发展,其对中医学术发展的价值至今争议不断,特别是一些持有中医特色发展论的学者,对中西医结合研究的价值多持否定态度。但从当代中医理论创新的角度,分析中西医结合研究的价值,可以发现中西医结合研究贯穿于中医理论创新的全过程,涉及新事实的获取、提出假说和假说的验证而形成新理论的各个环节,可以说中西医结合研究为中医理论的创新发展提供了有力支撑,并且是以后中医学术创新发展的主要途径。中西医结合研究之所以能够促进中医理论的创新,是因为中西医学源于实践经验的理论之间具有可通约性。

关键词：中西医结合中医理论创新发展

Stochastic Iterative Learning Control With Faded Signals

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IEEE/CAA Journal of Automatica Sinica 2019年第5期6卷 1196-1208页

作者： Ganggui qu Dong shen the College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China

Stochastic iterative learning control(ILC) is designed for solving the tracking problem of stochastic linear systems through fading channels. Consequently, the signals used in learning control algorithms are faded in the sense that a random variable is multiplied by the original signal. To achieve the tracking objective, a two-dimensional Kalman filtering method is used in this study to derive a learning gain matrix varying along both time and iteration axes. The learning gain matrix minimizes the trace of input error covariance. The asymptotic convergence of the generated input sequence to the desired input value is strictly proved in the mean-square sense. Both output and input fading are accounted for separately in turn, followed by a general formulation that both input and output fading *** examples are provided to verify the effectiveness of the proposed schemes.

关键词： Fading channels iterative learning control (ILC) Kalman filtering, mean-square convergence stochastic systems

Comprehensive multivariate grey incidence degree based on principal component analysis

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Journal of Systems Engineering and Electronics 2014年第5期25卷 840-847页

作者： ke Zhang Yintao Zhang Pinpin qu Business School Hohai University

To overcome the too fine-grained granularity problem of multivariate grey incidence analysis and to explore the comprehensive incidence analysis model, three multivariate grey incidences degree models based on principal component analysis （PCA） are proposed. Firstly, the PCA method is introduced to extract the feature sequences of a behavioral matrix. Then, the grey incidence analysis between two behavioral matrices is transformed into the similarity and nearness measure between their feature sequences. Based on the classic grey incidence analysis theory, absolute and relative incidence degree models for feature sequences are constructed, and a comprehensive grey incidence model is proposed. Furthermore, the properties of models are researched. It proves that the proposed models satisfy the properties of translation invariance, multiple transformation invariance, and axioms of the grey incidence analysis, respectively. Finally, a case is studied. The results illustrate that the model is effective than other multivariate grey incidence analysis models.

关键词： grey system multivariate grey incidence analysis behavioral matrix principal component analysis (PCA).

Asphaltenes: Separations, structural analysis and applications

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Journal of Energy Chemistry 2019年第7期28卷 186-207页

作者： Pingping Zuo Shijie qu Wenzhong shen State key Laboratory of Coal Conversion Institute of Coal Chemistry Chinese Academy of Sciences

Asphaltenes, complex aromatic compounds from various carbonaceous sources, could be obtained by solvent dissolution, filtration and adsorption. It was difficult to clarify the molecular structures and chemical properties of asphaltene due to its structural similarity, composition complexity and source dependences. Many techniques, like Mass spectrometry, Chromatography, Nuclear magnetic resonance spectroscopy, Infrared spectroscopy, Roman spectroscopy, Fluorescence spectroscopy, X-ray diffraction analysis and Small-angle scattering techniques and so on, have revealed some valuable descriptions of asphaltenes chemical compositions and fundamental structures. Moreover, advanced Mass spectrometry,Atomic force microscopy and Scanning tunneling microscopy could provide more clear and essential molecular compounds and structures in asphaltenes. In addition, several asphaltenes models have succeeded to illustrate aggregation properties asphaltene. In this work, the progress on asphaltene separation, characterization and application was summarized, and the similarities and differences between coal-derived asphaltenes and petroleum asphaltenes were compared. Furthermore, the reactivity of asphaltenes has been discussed in the aspect of hydroprocessing, pyrolysis and gasification. Asphaltene was excellent carbon precursor for functional carbon material due to its high aromaticity and carbon yield;several porous carbon nanosheets from asphaltenes that would be prospective electrode materials after being graphitized were shown. Pitch-based carbon fiber derived from coal-derived asphaltenes displayed a tensile strength of 1.0 GPa and elastic modulus of 350 MPa, respectively. These powerful advances will provide asphaltenes promising developments.

关键词： Asphaltenes Separations Structures Aggregation Applications

The partial C^(0)-estimate along a general continuity path and applications

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Science China Mathematics 2021年第11期64卷 2495-2520页

作者： ke Feng Liangming shen School of Mathematical Sciences University of Electronic Science and Technology of ChinaChengdu 611731China School of Mathematical Sciences Beihang UniversityBeijing 100191China

We establish a new partial C^(0)-estimate along a continuity path mixed with conic singularities along a simple normal crossing divisor and a positive twisted(1,1)-form on Fano *** an application,this estimate enables us to show the reductivity of the automorphism group of the limit space,which leads to a new proof of the Yau-Tian-Donaldson conjecture.

关键词： partial C0-estimate K?hler-Einstein metric conic K?hler metric

Rapid environmental assessment in the South China Sea:Improved inversion of sound speed profile using remote sensing data

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Acta Oceanologica Sinica 2022年第7期41卷 78-83页

作者： ke qu Binbin Zou Jianbo Zhou College of Electronics and Information Engineering Guangdong Ocean UniversityZhanjiang524088China Shanghai Acoustics Laboratory Chinese Academy of SciencesShanghai201815China School of Marine Science and Technology Northwestern Polytechnical UniversityXi’an710072China

Complex perturbations in the profile and the sparsity of samples often limit the validity of rapid environmental assessment(REA)in the South China Sea(SCS).In this paper,the remote sensing data were used to estimate sound speed profile(SSP)with the self-organizing map(SOM)method in the ***,the consistency of the empirical orthogonal functions was examined by using k-means *** clustering results indicated that SSPs in the SCS have a similar perturbation nature,which means the inverted grid could be expanded to the entire SCS to deal with the problem of sparsity of the samples without statistical ***,a machine learning method was proposed that took advantage of the topological structure of SOM to significantly improve their *** revealed promising results,with a mean reconstruction error of 1.26 m/s,which is 1.16 m/s smaller than the traditional single empirical orthogonal function regression(sEOF-r)*** violating the constraints of linear inversion,the topological structure of the SOM method showed a smaller error and better robustness in the SSP *** improvements to enhance the accuracy and robustness of REA in the SCS were *** results suggested a potential utilization of REA in the SCS based on satellite data and provided a new approach for SSP estimation derived from sea surface data.

关键词： South China Sea sound speed profile empirical orthogonal function self-organizing maps

A novel method for internal wave monitoring based on expansion of the sound speed profile

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Acta Oceanologica Sinica 2019年第4期38卷 183-189页

作者： ke qu Fengqin Zhu Wenhua Song Guangdong Province key Laboratory for Coastal Ocean Variation and Disaster Prediction Guangdong Ocean University College of Electronics and Information Engineering Guangdong Ocean University College of Information Science and Engineering Ocean University of China

For acoustic detection of internal waves, the core issue is to obtain the temporal and spatial distribution of the sound speed profile(SSP). In the inversion process, the SSP is usually expressed by a few parameters through expansion. However, information about internal waves may sometimes be hard to read directly from the inversion results. The aim of this paper is to characterize the internal waves directly though expansion coefficients. By deducing the dynamic equations of the internal waves, an orthogonal basis called the hydrodynamic normal modes(HNMs) can be extracted from a certain number of SSP samples. Unlike the existing widely used empirical orthogonal functions(EOFs), the HNMs have a more explicit physical meaning that is directly related to internal wave activity. The HNMs are then used to expand the SSP time series, and the expansion coefficients are ***, information about internal waves can be read directly from the time derivative of the expansion coefficients of the first two modes. In this study, this method is applied to thermistor string profiles from the northern shelf of the South China Sea, where the SSP shows evident spatial and temporal variations due to internal waves. The results show that the SSP can be described approximately by the first two modes with adequate precision. The special oscillation structure of the time derivative of the expansion coefficients can be used to detect internal solitary waves. The expansion coefficients can also give information on internal solitary wave amplitude and width. According to theoretical and experimental analysis, it can be concluded that the internal waves monitoring method introduced in this paper is effective. The HNMs method is simple to apply and depends less on sample data than EOFs. It could be used as an efficient alternative to EOFs to expand the use of the SSP in highly variable areas, where internal waves are intensive.

关键词： internal waves hydrodynamic normal modes internal solitary waves South China Sea

Kinematics Analysis and Singularity Avoidance of a Parallel Mechanism with Kinematic Redundancy

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Chinese Journal of Mechanical Engineering 2022年第5期35卷 244-261页

作者： Chaoyu shen Haibo qu sheng Guo Xiao Li Robotics Research Center School of MechanicalElectronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China China Waterborne Transport Research Institute Beijing 100088China key Laboratory of Vehicle Advanced Manufacturing Measuring and Control TechnologyMinistry of EducationBeijing Jiaotong UniversityBeijing 100044China

The kinematic redundancy is considered as a way to improve the performance of the parallel *** this paper,the kinematics performance of a three degree-of-freedom parallel mechanism with kinematic redundancy(3-DOF PM-KR)and the influence of redundant parts on the PM-KR are ***,the kinematics model of the PM-KR is *** inverse solutions,the Jacobian matrix,and the workspace of the PM-KR are ***,the influence of redundancy on the PM-KR is *** there exists kinematic redundancy,the PM-KR possesses fault-tolerant *** locking one actuating joint or two actuating joints simultaneously,the fault-tolerant workspace is *** the position of the redundant part is changed,the workspace and singularity will be *** results show that kinematic redundancy can be used to avoid ***,the simulations are performed to prove the theoretical analysis.

关键词： Parallel mechanism Kinematic redundancy Singularity Simulation analysis

How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems:A Survey

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1781-1796页

作者： Hongyi Lin Yang Liu shen Li Xiaobo qu School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China Department of Architecture and Civil Engineering Chalmers University of TechnologyGothenburg SE-41296Sweden Department of Civil Engineering Tsinghua UniversityBeijing 100084China IEEE

In current years,the improvement of deep learning has brought about tremendous changes:As a type of unsupervised deep learning algorithm,generative adversarial networks(GANs)have been widely employed in various fields including *** paper reviews the development of GANs and their applications in the transportation ***,many adopted GAN variants for autonomous driving are classified and demonstrated according to data generation,video trajectory prediction,and security of *** introduce GANs to traffic research,this review summarizes the related techniques for spatio-temporal,sparse data completion,and time-series data ***-based traffic anomaly inspections such as infrastructure detection and status monitoring are also ***,to promote further development of GANs in intelligent transportation systems(ITSs),challenges and noteworthy research directions on this topic are *** general,this survey summarizes 130 GAN-related references and provides comprehensive knowledge for scholars who desire to adopt GANs in their scientific works,especially transportation-related tasks.

关键词： driving transportation directions