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Unveiling Dynamic System Strategies for Multisensory Processing: From Neuronal Fixed-Criterion Integration to Population Bayesian Inference

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Research 2023年第2期2022卷 81-100页

作者： Jiawei Zhang Yong Gu Aihua Chen Yuguo Yu State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Shanghai Artificial Intelligence LaboratoryResearch Institute of Intelligent and Complex Systems and Institute of Science and Technology for Brain-Inspired IntelligenceHuman Phenome InstituteShanghai 200433China Key Laboratory of Primate Neurobiology Institute of NeuroscienceCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina Key Laboratory of Brain Functional Genomics(Ministry of Education) East China Normal University3663 Zhongshan Road N.Shanghai 200062China

Multisensory processing is of vital importance for survival in the external *** circuits can both integrate and separate visual and vestibular senses to infer self-motion and the motion of other ***,it is largely debated how multisensory brain regions process such multisensory information and whether they follow the Bayesian strategy in this process.

关键词： Integration Fixed Criterion

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A quinolinyl analog of resveratrol improves neuronal damage after ischemic stroke by promoting Parkin-mediated mitophagy

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Chinese Journal of Natural Medicines 2025年第2期23卷 214-224页

作者： Qingqi Meng Yan Mi Libin Xu Yeshu Liu Dong Liang Yongping Wang Yan Wang Yueyang Liu Guoliang Chen Yue Hou Key Laboratory of Bioresource Research and Development of Liaoning Province College of Life and Health SciencesNational Frontiers Science Center for Industrial Intelligence and Systems OptimizationKey Laboratory of Data Analytics and Optimization for Smart IndustryMinistry of EducationNortheastern UniversityShenyang 110167China State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources School of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGuilin 541004China Shenyang Key Laboratory of Vascular Biology Science and Research CenterDepartment of PharmacologyShenyang Medical CollegeShenyang 110034China Key Laboratory of Structure-Based Drug Design&Discovery of Ministry of Education School of Pharmaceutical EngineeringShenyang Pharmaceutical UniversityShenyang 110016China

Ischemic stroke(IS)is a prevalent neurological disorder often resulting in significant disability or ***,extracted from Polygonum cuspidatum *** Zucc.(commonly known as Japanese knotweed),has been recognized for its potent neuroprotective ***,the neuroprotective efficacy of its derivative,(E)-4-(3,5-dimethoxystyryl)quinoline(RV02),against ischemic stroke remains inadequately *** study aimed to evaluate the protective effects of RV02 on neuronal ischemia-reperfusion injury both in vitro and in *** research utilized an animal model of middle cerebral artery occlusion/reperfusion and SH-SY5Y cells subjected to oxygen-glucose deprivation and reperfusion to simulate ischemic *** findings demonstrate that RV02 attenuates neuronal mitochondrial damage and scavenges reactive oxygen species(ROS)through mitophagy ***,Parkin knockdown was found to abolish RV02's ability to activate mitophagy and neuroprotection in *** results suggest that RV02 shows promise as a neuroprotective agent,with the activation of Parkin-mediated mitophagy potentially serving as the primary mechanism underlying its neuroprotective effects.

关键词： (E)-4-(3 5-dimethoxystyryl)quinoline Resveratrol Ischemic stroke Mitophagy Parkin

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Prospects for measuring dark energy with 21 cm intensity mapping experiments:A joint survey strategy

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science China(Physics,Mechanics & Astronomy) 2023年第7期66卷 38-47页

作者： Peng-Ju Wu Yichao Li Jing-Fei Zhang Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning Province)&Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

The 21 cm intensity mapping(IM)technique provides us with an efficient way to observe the cosmic large-scale structure(LSS).From the LSS data,one can use the baryon acoustic oscillation and redshift space distortion to trace the expansion and growth history of the universe,and thus measure the dark energy *** this paper,we make a forecast for cosmological parameter estimation with the synergy of three 21 cm IM ***,we adopt a novel joint survey strategy,FAST(0

关键词： neutral hydrogen sky survey 21 cm intensity mapping dark energy large-scale structure joint survey strategy

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Stability of connected and automated vehicles platoon considering communications failures

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Chinese Physics B 2023年第7期32卷 598-609页

作者：刘润坤于海洋任毅龙崔志勇 School of Transportation Science and Engineering Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety ControlBeihang UniversityBeijing 100191China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang UniversityBeijing 100191China

As a form of a future traffic system,a connected and automated vehicle(CAV)platoon is a typical nonlinear physical *** can communicate with each other and exchange ***,communication failures can change the platoon system *** characterize this change,a dynamic topology-based car-following model and its generalized form are proposed in this ***,a stability analysis method is ***,taking the dynamic cooperative intelligent driver model(DC-IDM)for example,a series of numerical simulations is conducted to analyze the platoon stability in different communication topology *** results show that the communication failures reduce the stability,but information from vehicles that are farther ahead and the use of a larger desired time headway can improve ***,the critical ratio of communication failures required to ensure stability for different driving parameters is studied in this work.

关键词： connected and automated vehicle car-following model communication failures string stability

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Parameter estimation of fractional uncertain differential equations

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Soft Computing 2024年第13-14期28卷 7601-7616页

作者： Luo, Cheng Wu, Guo–Cheng Jin, Ting School of Mathematics and Statistics Southwest University Chongqing400715 China Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications Chongqing400065 China School of Science Nanjing Forestry University Jiangsu Nanjing210037 China

Fractional uncertain differential equations are used for forecast in this paper. It is crucial to provide an accurate estimation method since fractional uncertain differential equations hold memory effects and parameter estimation strongly depends on the accuracy of numerical schemes. A generalized moment estimation method is developed by the famous L1 numerical scheme. Adam optimization algorithm is adopted in the minimum optimization problem and the obtained optimal parameters can pass the uncertain hypothesis test. Compared with the uncertain differential equations, the fractional one holds more parameter freedom degrees and captures long-term interactions of observed data. Finally, the applications to aftershock frequency and pharmacokinetics are provided as examples. It can be concluded that fractional uncertain differential equations lead to the higher forecast accuracy which also provides some potential works on "fractional deep learning" under uncertain environments. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Parameter estimation

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Cryo-EM structure of a minimal reaction center–light-harvesting complex from the phototrophic bacterium Chloroflexus aurantiacus

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Journal of Integrative Plant Biology 2025年第4期 967-978页

作者： Guoqiang Huang Shishang Dong Lin Ma Lin Li Jinxin Ju Mei-Jiao Wang Jian-Ping Zhang Sen-Fang Sui Xiaochun Qin State Key Laboratory of Membrane Biology Beijing Advanced Innovation Center for Structural Biology School of Life SciencesTsinghua University Multiscale Research Institute of Complex Systems Fudan University School of Biological Science and Technology University of Jinan School of Chemistry and Life Resources Renmin University of China School of Life Sciences Southern University of Science and Technology

Photosynthetic organisms have developed various light-harvesting antenna systems to capture light and transfer energy to reaction centers（RCs）.Simultaneous utilization of the integral membrane light-harvesting antenna（LH complex） and the extrinsic antenna（chlorosomes） makes the phototrophic bacterium Chloroflexus（Cfx.） aurantiacus an ideal model for studying filamentous anoxygenic phototrophs（FAPs）. Here, we determined the structure of a minimal RC–LH photocomplex from Cfx. aurantiacus J-10-fl（CaRC–LH） at 3.05-? resolution. The CaRC–LH binds only to seven LH subunits, which form a crescent-shaped antenna surrounding the movable menaquinone-10（QB）binding site of Ca RC. In this complex with minimal LH units, an extra antenna is required to ensure sufficient light-gathering, providing a clear explanation for the presence of chlorosomes in Cfx. aurantiacus. More importantly, the semicircle of the antenna represents a novel RC–LH assembly pattern. Our structure provides a basis for understanding the existence of chlorosomes in *** and the possible assembly pattern of RC–LH.

关键词： Chloroflexus aurantiacus chlorosomes electron transfer photosynthesis RC–LH

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Preparation Method and Simulation Analysis of a Novel High Temperature Resistant Magnetorheological Fluidier Fluids 2nd

Preparation Method and Simulation Analysis of a Novel High T...

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2nd International Conference of Mechanical System Dynamics, ICMSD 2023

作者： Chen, Xing Cheng Han, Wen Jiao Wang, Guo Ping Wang, Shun Wang, Xin Institute of Launch Dynamics Nanjing University of Science and Technology Nanjing210094 China National Key Laboratory of Complex Multibody Systems Dynamics Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9789819980475

Magnetorheological fluid (MRF) is a suspension system formed by micron- of carrier liquid on the properties of MRFs at high temperature were studied. On thissized magnetic particles and additives uniformly dispersed in a non-magnetic carrier liquid. Under an external magnetic field, MRF transforms from an initial free-flowing liquid to semi-solid or even solid in millisecond time, showing strong controllable rheological characteristics, and is therefore widely used in vibration damping devices. Since the heating of energized coil and the friction between particles, the rheological properties of MRF applied to high-power MR devices are usually affected by the increase of the temperature. Poor temperature stability of MRF manifests itself as a reduced shear yield stress at high temperatures, affecting device performance. In order to prepare MRFs with stable properties at high temperature, the effects basis, a novel MRF with good temperature stability was prepared. The dispersion stability, evaporation rate, expansion rate and shear yield stress at high temperature were studied. Then the influence mechanism of these properties is explored through simulation analysis. The results show that the novel MRF has good dispersion stability, stable viscosity and shear yield stress. The influence mechanism of temperature on the properties of this MRF was obtained. This novel MRF with good temperature stability can be applied to the most MR devices, especially to high-power MR devices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Magnetorheological fluids

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Electrochemical response of MoS_(2) nanosheets/SiO_(2)-NH_(2) nanoparticles modified glassy carbon electrode to phenylacetic acid

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Rare Metals 2023年第12期42卷 4142-4152页

作者： Tian-Yao Qi Zhen-Yu Yuan Fan-Li Meng College of Information Science and Engineering Northeastern UniversityShenyang 110819China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao 066004China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationShenyang 110819China

Phenylacetic acid(PAA)is a primary raw material for illegal Methamphetamine(MATM)synthesis under the strong precursor chemicals supervisions of safrole and ***,trace detection of PAA at ultra-low concentration is a strategic technique and an urgent issue in the field of drug *** this paper,trace determination of PAA at sub-nmol-L-1 concentration level is achieved by hydrogen bond adsorption and electrochemical catalysis through the prepared aminated SiO_(2)nanoparticles(SiO_(2)-NH_(2) NPs)and MoS_(2) nanosheets(NSs)modified glassy carbon electrode(GCE).The prepared MoS_(2) NS s/SiO_(2)-NH_(2) NPs modified electrode represents a detecting limit of 0.0989 nmol·L^(-1)and an obvious increasing linear range before the concentration increasement up to 60 nmol·L^(-1)in square wave voltammetry(SWV)responses of *** SWV response of the modified electrode to PAA in the concentration range within 100 nmol·L^(-1)is higher than phenol,acetic acid(HOAc)and benzoic Acid(BEN).This electrochemical method for trace detection of PAA in aqueous solution with desired performance provides a feasible scheme for the detection of other drugs and aromatic precursor chemicals.

关键词： Phenylacetic acid detection Modified electrode MoS_(2)nanosheet Square wave voltammetry

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Stochastic Block Models for complex Network Analysis: A Survey

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ACM Transactions on Knowledge Discovery from data 2025年第3期19卷 1-35页

作者： Liu, Xueyan Song, Wenzhuo Musial, Katarzyna Li, Yang Zhao, Xuehua Yang, Bo College of Computer Science and Technology Jilin University Changchun China School of Information Science and Technology Northeast Normal University Changchun China Complex Adaptive Systems Lab Data Science Institute University of Technology Sydney Sydney Australia Aviation University of the Air Force Changchun China School of Digital Media Shenzhen Institute of Information Technology Shenzhen China Key Laboratory of Symbolic Computation and Knowledge Engineer Jilin University Ministry of Education Changchun China

complex networks enable to represent and characterize the interactions between entities in various complex systems which widely exist in the real world and usually generate vast amounts of data about all the elements, their behaviors and interactions over time. The studies concentrating on new network analysis approaches and methodologies are vital because of the diversity and ubiquity of complex networks. The stochastic block model (SBM), based on Bayesian theory, is a statistical network model. SBMs are essential tools for analyzing complex networks since SBMs have the advantages of interpretability, expressiveness, flexibility and generalization. Thus, designing diverse SBMs and their learning algorithms for various networks has become an intensively researched topic in network analysis and data mining. In this article, we review, in a comprehensive and in-depth manner, SBMs for different types of networks (i.e., model extensions), existing methods (including parameter estimation and model selection) for learning optimal SBMs for given networks and SBMs combined with deep learning. Finally, we provide an outlook on the future research directions of SBMs. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： complex Networks Structural Pattern Discovery Stochastic Block models Learning Methods of SBMs

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On Kernel Design for Regularized Volterra Series Model with Application to Wiener System Identification 41

On Kernel Design for Regularized Volterra Series Model with ...

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第41届中国控制会议

作者： Yu Xu Biqiang Mu Tianshi Chen School of Data Science and Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we propose a kernel design method for the regularized identification of Volterra series *** particular,we design the kernels based on two types of prior knowledge:one is the structural knowledge for block-oriented models and the other one is the prior knowledge for LTI *** proposed method is also applied to the identifucation of Wiener *** efficacy of the proposed kernels is verified in Monte Carlo simulations.

关键词： Nonlinear System Identification Regularization Method Volterra Series Model Wiener systems

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