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A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot

Journal of Systems Science & Complexity 2024年第1期37卷 82-113页

作者： ZHang Jinhan CHEN Jiahao zhong Shanlin QIAO Hong State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China.

It is a significant research direction for highly complex musculoskeletal robots that how to develop the ability of motion learning and *** cooperations of multiple brain regions are crucial to improving motion *** by the neural mechanisms of structures,functions,and interconnections of basal ganglia and cerebellum,a biologically inspired integration model for motor learning of musculoskeletal robots is *** on the neural characteristics of the basal ganglia,the basal ganglia actor network,which mainly simulates the dorsal striatum,outputs motion commands,and the basal ganglia critic network,which simulates the ventral striatum,estimates actionstate *** network parameters are updated using the soft actor-critic *** on the sensorimotor prediction mechanism of the cerebellum,the cerebellum network evaluates the state feature extraction quality of the basal ganglia actor network and then updates the weights of its feature *** learning method is proven to converge to the optimal ***,drawing on the mechanism of dopaminergic dynamic regulation in the basal ganglia,the adaptive adjustment of target entropy and the dopaminergic experience replay are proposed to further improve the integration model,which contributes to the exploration-exploitation trade-off of motor *** bio-inspired integration model is validated on a musculoskeletal *** results indicate that this model can effectively control the musculoskeletal robot to accomplish the motion task from random starting locations to random target positions with high precision and robustness.

关键词： Basal ganglia and cerebellum bio-inspired integration model motion learning musculoskeletal robot reinforcement learning.

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NeurstrucEnergy:A bi-directional GNN model for energy prediction of neural networks in IoT

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Digital Communications and Networks 2024年第2期10卷 439-449页

作者： Chaopeng Guo Zhaojin zhong Zexin Zhang Jie Song Software Campus Northeastern UniversityShenyang110000LiaoningChina

A significant demand rises for energy-efficient deep neural networks to support power-limited embedding devices with successful deep learning applications in IoT and edge computing *** accurate energy prediction approach is critical to provide measurement and lead optimization ***,the current energy prediction approaches lack accuracy and generalization ability due to the lack of research on the neural network structure and the excessive reliance on customized training *** paper presents a novel energy prediction model,*** treats neural networks as directed graphs and applies a bi-directional graph neural network training on a randomly generated dataset to extract structural features for energy *** has advantages over linear approaches because the bi-directional graph neural network collects structural features from each layer's parents and *** results show that NeurstrucEnergy establishes state-of-the-art results with mean absolute percentage error of 2.60%.We also evaluate NeurstrucEnergy in a randomly generated dataset,achieving the mean absolute percentage error of 4.83%over 10 typical convolutional neural networks in recent years and 7 efficient convolutional neural networks created by neural architecture *** code is available at https://***/NEUSoftGreenAI/***.

关键词： Internet of things Neural network energy prediction Graph neural networks Graph structure embedding Multi-head attention

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An Electrochemical Perspective of Aqueous Zinc Metal Anode

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Nano-Micro Letters 2024年第1期16卷 274-312页

作者： Huibo Yan Songmei Li Jinyan zhong Bin Li School of Materials Science and Engineering Beihang UniversityBeijing 100191People’s Republic of China

Based on the attributes of nonflammability,environmental benignity,and cost-effectiveness of aqueous electrolytes,as well as the favorable compatibility of zinc metal with them,aqueous zinc ions batteries(AZIBs)become the leading energy storage candidate to meet the requirements of safety and low ***,aqueous electrolytes,acting as a double-edged sword,also play a negative role by directly or indirectly causing various parasitic reactions at the zinc anode *** reactions include hydrogen evolution reaction,passivation,and dendrites,resulting in poor Coulombic efficiency and short lifespan of AZIBs.A comprehensive review of aqueous electrolytes chemistry,zinc chemistry,mechanism and chemistry of parasitic reactions,and their relationship is ***,the understanding of strategies for suppressing parasitic reactions from an electrochemical perspective is not profound *** this review,firstly,the chemistry of electrolytes,zinc anodes,and parasitic reactions and their relationship in AZIBs are deeply ***,the strategies for suppressing parasitic reactions from the perspective of enhancing the inherent thermodynamic stability of electrolytes and anodes,and lowering the dynamics of parasitic reactions at Zn/electrolyte interfaces are ***,the perspectives on the future development direction of aqueous electrolytes,zinc anodes,and Zn/electrolyte interfaces are presented.

关键词： Aqueous zinc ions batteries Parasitic reactions Aqueous electrolyte Zinc anode

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A Lightweight Network with Dual Encoder and Cross Feature Fusion for Cement Pavement Crack Detection

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 255-273页

作者： zhong Qu Guoqing Mu Bin Yuan School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China School of Software Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Automatic crack detection of cement pavement chiefly benefits from the rapid development of deep learning,with convolutional neural networks(CNN)playing an important role in this ***,as the performance of crack detection in cement pavement improves,the depth and width of the network structure are significantly increased,which necessitates more computing power and storage *** limitation hampers the practical implementation of crack detection models on various platforms,particularly portable devices like small mobile *** solve these problems,we propose a dual-encoder-based network architecture that focuses on extracting more comprehensive fracture feature information and combines cross-fusion modules and coordinated attention mechanisms formore efficient feature ***,we use small channel convolution to construct shallow feature extractionmodule(SFEM)to extract low-level feature information of cracks in cement pavement images,in order to obtainmore information about cracks in the shallowfeatures of *** addition,we construct large kernel atrous convolution(LKAC)to enhance crack information,which incorporates coordination attention mechanism for non-crack information filtering,and large kernel atrous convolution with different cores,using different receptive fields to extract more detailed edge and context ***,the three-stage feature map outputs from the shallow feature extraction module is cross-fused with the two-stage feature map outputs from the large kernel atrous convolution module,and the shallow feature and detailed edge feature are fully fused to obtain the final crack prediction *** evaluate our method on three public crack datasets:DeepCrack,CFD,and *** results on theDeepCrack dataset demonstrate the effectiveness of our proposed method compared to state-of-the-art crack detection methods,which achieves Precision(P)87.2%,Recall(R)87.7%,and F-score(F1)87.4%.Thanks to our lightweight cr

关键词： Shallow feature extraction module large kernel atrous convolution dual encoder lightweight network crack detection

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An object detection approach with residual feature fusion and second-order term attention mechanism

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 411-424页

作者： Cuijin Li zhong Qu Shengye Wang College of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqingChina College of Electronic Information Chongqing Institute of EngineeringChongqingChina

Automatically detecting and locating remote occlusion small objects from the images of complex traffic environments is a valuable and challenging *** the boundary box location is not sufficiently accurate and it is difficult to distinguish overlapping and occluded objects,the authors propose a network model with a second-order term attention mechanism and occlusion ***,the backbone network is built on *** a method is designed for the feature extraction network based on an item-wise attention mechanism,which uses the filtered weighted feature vector to replace the original residual fusion and adds a second-order term to reduce the information loss in the process of fusion and accelerate the convergence of the ***,an objected occlusion regression loss function is studied to reduce the problems of missed detections caused by dense *** experimental results demonstrate that the authors’method achieved state-of-the-art performance without reducing the detection *** mAP@.5 of the method is 85.8%on the Foggy_cityscapes dataset and the mAP@.5 of the method is 97.8%on the KITTI dataset.

关键词： artificial intelligence computer vision image processing machine learning neural network object recognition

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Partnering crops with root-associated microbes for soil health and agricultural sustainability

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Pedosphere 2024年第1期34卷 26-29页

作者： Cunhu Wang Yongjia zhong Hong LIAO Root Biology Center College of Resources and EnvironmentFujian Agriculture and Forestry UniversityFuzhou 350002China

Increasing global demand for food presents a significant challenge to maintaining soil health and sustainable production of agricultural crops. As plant root-associated microbial fitness is greatly impacted by community growth, development, and nutrient acquisition, the cultivation of functional assembly of root-associated microbes may provide solutions for achieving food security while maintaining healthy soils. Here, we propose a four-part strategy to promote soil health and agricultural productivity by partnering crops with root-associated microbes.

关键词： crops soil agricultural

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Astrocyte syncytium:from neonatal genesis to aging degeneration

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Neural Regeneration Research 2024年第2期19卷 395-396页

作者： Min Zhou Shiying zhong Alexei Verkhratsky Department of Neuroscience Ohio State University Wexner Medical CenterColumbusOHUSA Faculty of Biology Medicine and HealthThe University of ManchesterManchesterUK Achücarro Basque Center for Neuroscience IKERBASQUEBasque Foundation for ScienceBilbaoSpain Department of Neurosciences University of the Basque Country UPV/EHU and CIBERNEDLeioaSpain

Modern neuroscience began from all reaching and fierce conflict between“neuronismo and reticulismo”——between neuronal and reticular theories of the organization of the nervous system;the conflict culminated in December of 1906 in Stockholm where Santiago Ramon y Cajal(the proponent of the neuronal doctrine)and Camillo Golgi(who advocated the syncytial reticular organization of neural networks)delivered their Noble prize lectures(Verkhratsky,2009).

关键词： degeneration neonatal aging

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A simple photochemical method for surface fluorination using perfluoroketones

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Chinese Chemical Letters 2024年第5期35卷 254-258页

作者： Zhiwei zhong Yanbin Huang Wantai Yang Department of Chemical Engineering Tsinghua UniversityBeijing 100084China

Surface fluorination of conventional polymers can give them desirable surface properties similar to the expensive and difficult-to-process ***,traditional surface fluorination techniques often require toxic reagents and special ***,we report a simple and effective polymer surface fluorination method by using safe and inexpensive perfluoro-2-methyl-3-pentanone(PFMP,C_(2)F_(5)C(=O)CF(CF_(3))_(2))and UV *** method is applicable to various polymer materials,and generates nanometer-thick fluorinated layer on the outermost surface,significantly changing their surface properties without changing the surface morphology.

关键词： Surface fluorination Perfluoroketone UV irradiation Photochemistry Surface free energy

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Hongjin Xiaojie Capsule,a Chinese patent medicine,for treating moderate to severe cyclical breast pain:A single-blind randomized controlled trial

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Journal of Integrative Medicine 2024年第5期22卷 552-560页

作者： Qiong Zhang Ying-yi Fan Xue-qing Wu Yan-dan Huo Chun-hui Wang Shi-bing Liang Ting Wang Rong zhong Xuan Wang bao-yong Lai Xiao-hua Pei Jian-ping Liu Graduate School Beijing University of Chinese MedicineBeijing 100029China Department of Breast Beijing University of Chinese Medicine Third Affiliated HospitalBeijing 100029China Department of Breast Shuguang HospitalShanghai University of Traditional Chinese MedicineShanghai 200021China Department of Breast Sichuan Second Hospital of Traditional Chinese MedicineChengdu 610014Sichuan ProvinceChina Department of Breast Xiamen HospitalBeijing University of Chinese MedicineXiamen 361015Fujian ProvinceChina Center for Evidence-Based Chinese Medicine Beijing University of Chinese MedicineBeijing 100029China

Background Moderate to severe breast pain has major effects on the quality of life for *** Chinese medicines are widely used in the treatment of breast pain due to their stable dosage form and good *** To evaluate the beneficial effects and safety of Hongjin Xiaojie Capsule(HJXJC),a Chinese patent medicine,for the treatment of cyclical breast ***,setting,participants and intervention This is a multicenter,single-blind randomized controlled trial conducted in 3 medical centers in China from 2019 to *** with moderate to severe cyclic breast pain were randomly divided into the intervention group(who took HJXJC,four capsules per dose,three times a day for 12 weeks)and the control group(waiting for the treatment)in a 1:1 *** outcome measures The primary outcome was pain duration,and the patients recorded measurements at baseline and at the end of weeks 4,8,12 and 16 on a patient log *** The full analysis set(FAS)population included 298 participants(intervention group,n=150;control group,n=148),while the per-protocol analysis set(PPS)included 274 *** 12 weeks,the duration of breast pain was significantly shorter in the intervention group(FAS:mean difference,–6.69;95%CI,–7.58 to–5.80;P5%CI,–8.01 to–6.16;P55;95%CI,–13.90 to–11.21;P5%CI,–14.48 to–11.66;P5),whereas the sizes of breast nodules and uterine fibroid showed no statistically significant difference compared with the control group(P>0.05).At weeks 8 and 12,th

关键词： Hongjin Xiaojie Capsule Cyclical breast pain Randomized controlled trial Traditional Chinese medicine

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Super-high bed sintering for iron ores:problems ascertainment

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Journal of Iron and Steel Research International 2024年第5期31卷 1063-1070页

作者： Liang-ping Xu Hui-bo Liu Yu-chao Zhao Qiang zhong zhong-lin Dong Guang-hui Li Tao Jiang School of Minerals Processing and Bioengineering Central South UniversityChangsha410083HunanChina

Super-high bed sintering process is an important development direction of iron ore sintering for its lower emission and higher ***,there is a lack of deep understanding of the uneven quality of super-high bed sintering products,and the deterioration of reduction disintegration performance,the thickening of hearth layer and the reduction in energy-saving effect are perplexing enterprises and *** ascertain the problems of super-high bed sintering,ten sintering machines with the areas of 265,280,360,550 and 660 m^(2)and bed depth above 900 mm were sampled and *** results showed that problems were mainly shown in the unevenness of chemical composition,macrostructure,mechanical strength and metallurgical *** chemical composition exhibits severe segregation in both horizontal and vertical directions,with basicity segregation reaching as high as *** uneven macrostructure of sinter is reflected in a 10%difference in porosity and mechanical strength increase in 16%–19%along the vertical *** reducibility and reduction disintegration performance gradually deteriorate along the bed depth,with a difference of 10.5%in reducibility and 7.3%in RDI−0.5 mm(reduction disintegration index of sinter with size smaller than 0.5 mm).

关键词： Super-high bed sintering Uneven sinter performance Segregation Agglomeration Iron ore

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