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NASTCNN: a spatio-temporal convolutional neural network with non-local attention mechanism for image-induced brain activity pattern recognition

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Optoelectronics Letters 2025年

作者： TAN Xiangxin SHAO Mingxiong ZENG Ke gu Yue School of Computer Science and Engineering， Tianjin University of Technology Engineering Research Center of Learning-Based Intelligent System (Ministry of Education)， Tianjin University of Technology Krembil Research Institute， University Health Network

Deciphering the brain’s visual processing mechanisms has always been a hot topic. Using neural signal patterns to predict the corresponding external visual stimuli is crucial in understanding the interaction of real visual scenes. There are some challenges in the study of image-induced brain activity pattern recognition based on electroencephalogram (EEG)， e.g. how to fully utilize the effective features of EEG signals to improve the classification， and how the frequency and the length of EEG effect the model performance. We design an experimental paradigm that minimizes the interaction between visual stimuli， and propose a spatio-temporal convolutional neural network with non-local attention mechanism (NASTCNN) for image-induced brain activity pattern recognition. The framework utilizes non-local feature extraction operations to realize global information interaction between EEG signals over long distances and enhance the feature expression of some important information. Our model achieves the best performance on both MNIST-EEG and ImageNet-EEG datasets. The classification results are 24.00% and 50.10% respectively， higher than the random probability. We also analyze the effects of different EEG frequency bands and time subsequences of different lengths on the classification performance and which brain regions are activated over time. The results show that when full frequency band and entire length sequence are selected， the classification result is optimal. The occipital region is essential for processing visual tasks， and the temporal region and some frontal regions also play important role in the later stage of visual decoding. This research can help us better understand the visual processing mechanism of the brain.

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p53 modifications:exquisite decorations ofthe powerful guardian

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Journal of Molecular Cell Biology 2019年第7期11卷 564-577页

作者： Yanqing Liu Omid Tavana Wei gu Institute for Cancer Genetics College of Physicians and SurgeonsColumbia UniversityNew YorkNY 10032USA Department of Pathology and Cell Biology College of Physicians and SurgeonsColumbia UniversityNew YorkNY 10032USA Herbert Irving Comprehensive Cancer Center College of Physicians and SurgeonsColumbia UniversityNew YorkNY 10032USA

The last 40 years have witnessed how p53 rose from a viral binding protein to a central factor in both stress responses and tumor *** exquisite regulation of p53 functions is of vital importance for cell fate *** the multiple layers of mechanisms controlling p53 function,posttranslational modifications (PTMs) represent an efficient and precise *** p53 PTMs include phosphorylation,ubiquitination,acetylation,and ***,other PTMs like sumoylation,neddylation,O-GlcNAcylation,adenosine diphosphate (ADP)-ribosylation,hydroxylation,and p-hydroxybutyrylation are also shown to play various roles in p53 *** independent action or interaction,PTMs affect p53 stability,conformation,localization,and binding *** of the PTM-related pathway is among the major causes of p53-associated developmental disorders or diseases,especially in *** review focuses on the roles of different p53 modification types and shows how these modifications are orchestrated to produce various outcomes by modulating p53 activities or targeted to treat different diseases caused by p53 dysregulation.

关键词： p53 acetylation deacetylation phosphorylation ubiquitination methylation transcriptional regulation

Homological Dimensions of Extriangulated Categories and Recollements

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Algebra Colloquium 2023年第4期30卷 667-684页

作者： Weili gu Xin Ma Lingling Tan Department of Mathematics Nanjing UniversityNanjing 210093China College of Science Henan University of EngineeringZhengzhou 451191China School of Mathematical Sciences Qufu Normal UniversityQufuShandong 273165China

Let(A,B,C)be a recollement of extriangulated *** this paper we introduce the global dimension and extension dimension of extriangulated categories,and give some upper bounds of global dimensions and extension dimensions of the categories involved in(A,B,C),which give a simultaneous generalization of some results in recollements of abelian categories and triangulated categories.

关键词： extriangulated category recollement global dimension extension dimension

Self-attention guidance Based Crowd Localization and Counting

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Machine Intelligence Research 2024年第5期21卷 966-982页

作者： Zhouzhou Ma guanghua gu Wenrui Zhao School of Information Science and Engineering Yanshan UniversityQinhuangdao066000China Hebei Key Laboratory of Information Transmission and Signal Processing Qinhuangdao066000China

Most existing studies on crowd analysis are limited to the level of counting,which cannot provide the exact location of *** paper proposes a self-attention guidance based crowd localization and counting network(SA-CLCN),which can simultaneously locate and count *** take the form of object detection,using the original point annotations of crowd datasets as supervision to train the ***,the center point coordinate of each head as well as the number of crowds are ***,to cope with the spatial and positional variations of the crowd,the proposed method introduces transformer to construct a globallocal feature extractor(GLFE)together with the convolutional *** establishes the near-to-far dependency between elements so that the global context and local detail features of the crowd image can be extracted ***,this paper designs a pyramid feature fusion module(PFFM)to fuse the global and local information from high level to low level to obtain a multiscale feature *** downstream tasks,this paper predicts candidate point offsets and confidence scores by a simple regression header and classification *** addition,the Hungarian algorithm is used to match the predicted point set and the labelled point set to facilitate the calculation of *** proposed network avoids the errors or higher costs associated with using traditional density maps or bounding box ***,we have conducted extensive experiments on several crowd datasets,and the proposed method has produced competitive results in both counting and localization.

关键词： Crowd localization crowd counting transformer point supervision object detection

guanxinⅤRelieves Ventricular Remodeling by Inhibiting Inflammation:Implication from Virtual Screening,Systematic Pharmacology,Molecular Docking,and Experimental Validation

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Chinese Journal of Integrative Medicine 2023年第12期29卷 1077-1086页

作者： LIANG Bo ZHANG Xiao-xiao gu Ning Department of Cardiology Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese MedicineNanjing(210022)China Department of Nephrology the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of ChongqingChongqing Clinical Research Center of Kidney and Urology DiseasesXinqiao HospitalArmy Medical University(Third Military Medical University)Chongqing(400037)China School of Chinese Medicine School of Integrated Chinese and Western MedicineNanjing University of Chinese MedicineNanjing(210046)China

Objective:To reveal the anti-inflammatory mechanism of guanxinⅤ,which is prescribed for ventricular remodeling in clinical ***:guanxinⅤ-,ventricular remodeling-,and inflammationrelated targets were obtained through an integrated strategy of virtual screening and systematic pharmacology,and then the shared targets were visualised with a Venn ***Ⅴnetwork and the protein-protein interaction network were drawn,and enrichment analysis was ***,the main results obtained from the integrated strategy were validated by molecular docking and in vivo ***:A total of 251,11,425,and 15,246 guanxinⅤ-,ventricular remodeling-,and inflammation-related targets were acquired,***,211 shared targets were considered to contribute to the mechanism of ventricular remodeling treated by guanxinⅤ.guanxin network and the protein-protein interaction network were drawn,and enrichment analysis showed some cardiovascular-related biological processes and signaling *** docking revealed that the guanxinⅤ-derived compounds could align with key *** in vivo experiments proved that guanxinⅤreverses ventricular remodeling by inhibiting ***:guanxinⅤrelieves ventricular remodeling by regulating inflammation,which provides new ideas for the anti-ventricular remodeling mechanism of guanxinⅤ.

关键词： guanxinⅤ Chinese medicine ventricular remodeling inflammation

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gusty wind disturbances and large-scale turbulent structures in the neutral atmospheric surface layer

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Science China(Physics,Mechanics & Astronomy) 2019年第11期62卷 102-108页

作者： HaiHua gu guoHua Wang Wei Zhu XiaoJing Zheng Key Laboratory of Mechanics on Disaster and Environment in Western China Lanzhou UniversityLanzhou 730000China Research Center for Applied Mechanics School of Mechano-Electronic EngineeringXidian UniversityXi’an 710071China

This study analyzes the contribution of large-scale turbulent structures, including very large-scale and large-scale motions, to the streamwise turbulent kinetic energy and momentum flux in comparison with the contribution of the gusty wind disturbances based on the high-quality data obtained from the field measurements conducted in the near-neutral surface layer. The results of this study denote that the gusty wind disturbances contain only a portion of the energy contained in very large-scale motions and do not contain any of the information contained in large-scale motions. The amount of lost contributions to the streamwise turbulent kinetic energy and momentum flux increases linearly with the friction velocity, eventually becoming 53% and 67%,respectively. This indicates that large-scale turbulent structures(very large-scale motions and large-scale motions) better describe the coherent structures in the atmospheric surface layer when compared with the gusty wind disturbances.

关键词： atmospheric surface layer gusty wind disturbances large-scale motions

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An Improved Formulation of Singular Boundary Method

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Advances in Applied Mathematics and Mechanics 2012年第5期4卷 543-558页

作者： Wen Chen Yan gu College of Harbour Coastal and Offshore EngineeringHohai UniversityNo.1 Xikang RoadNanjingJiangsu 210098China

This study proposes a new formulation of singular boundary method(SBM)to solve the 2D potential problems,while retaining its original merits being free of integration and mesh,easy-to-program,accurate and mathematically simple without the requirement of a fictitious boundary as in the method of fundamental solutions(MFS).The key idea of the SBM is to introduce the concept of the origin intensity factor to isolate the singularity of fundamental solution so that the source points can be placed directly on the physical *** paper presents a new approach to derive the analytical solution of the origin intensity factor based on the proposed subtracting and adding-back *** the troublesome sample nodes in the ordinary SBM are avoided and the sample solution is also not necessary for the Neumann boundary *** benchmark problems are tested to demonstrate the feasibility and accuracy of the new formulation through detailed comparisons with the boundary element method(BEM),MFS,regularized meshless method(RMM)and boundary distributed source(BDS)method.

关键词： Singular boundary method fundamental solution singularity desingularization technique meshless

Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments

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Journal of Materials Science & Technology 2024年第14期181卷 91-103页

作者： Bin Song Xudong Dai Xin Fan Haibin gu Key Laboratory of Leather Chemistry and Engineering of Ministry of Education Sichuan UniversityChengdu610065China National Engineering Laboratory for Clean Technology of Leather Manufacture Sichuan UniversityChengdu610065China Univ Elect Sci&Technol China Sch Comp Sci&EngnChengdu611731China

Language barrier is the main cause of *** language,which is a common language in all the worldwide language families,is difficult to be entirely popularized due to the high cost of learning as well as the technical barrier in real-time *** solve these problems,here,we constructed a wearable organohydrogel-based electronic skin(e-skin)with fast self-healing,strong adhesion,extraor-dinary anti-freezing and moisturizing properties for sign language recognition under complex *** e-skin was obtained by using an acrylic network as the main body,aluminum(III)and bay-berry tannin as the crosslinking agent,water/ethylene glycol as the solvent system,and a polyvinyl al-cohol network to optimize the network *** this e-skin,a smart glove was further built,which could carry out the large-scale data collection of common gestures and sign *** the help of the deep learning method,specific recognition and translation for various gestures and sign lan-guages could be *** accuracy was 93.5%,showing the ultra-high classification accuracy of a sign language *** short,by integrating multiple characteristics and combining deep learning technology with hydrogel materials,the e-skin achieved an important breakthrough in human-computer interaction and artificial intelligence,and provided a feasible strategy for solving the dilemma of mutual exclusion between flexible electronic devices and human bodies.

关键词： Sign language recognition Conductive organohydrogel Electronic skin Strain sensor Self-healing Freezing resistance

Fatigue life research and experimental verification of superalloy thin-walled structures subjected to thermal-acoustic loads

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Chinese Journal of Aeronautics 2020年第2期33卷 598-608页

作者： Jian WANG Fengtong ZHAO Yundong SHA Song gu Department of Aircraft Maintenance Engineering Chengdu Aeronautic PolytechnicChengdu 610100China Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System Shenyang Aerospace UniversityShenyang 110136China

Rapid alternating stress is formed in structure subjected to harsh thermal-acoustic loads,which will affect fatigue performance and reduce fatigue life ***,fatigue experiment of superalloy thin-walled structure was carried out to obtain fatigue damage location and failure time of the experiment specimen,and S-iN curves of superalloy thin-walled structure at 723 K were ***,dynamic response simulation of superalloy thin-walled structure under the same load as experiment was implemented,and fatigue life was estimated based on the fatigue life prediction model which mainly included:improved rain-flow counting method,Morrow average stress model and Miner linear cumulative damage ***,comparisons between simulation solutions and experimental results achieved a consistency,which verified the validity of the Fatigue Life Prediction Model(FLPM).Moreover,taking a rectangle plate as the analysis object,the distributions of Fain-low circulation blocks and damage levels of the structure were discussed ***,current research indicates that in pre-buckling the structure is in softened area and fatigue life decreases with the increase of temperature;in post-buckling the structure is in hardened area and fatigue life increases with the increase of temperature within a certain range.

关键词： Experimental verification Fatigue life Improved rain-flow counting method Rain-flow cycle matrix Rain-flow damage matrix Thermal-acoustic load Thin-walled structures

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