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Dynamic alterations in bacterial and fungal microbiome and inflammatory cytokines following SRV-8 infection in cynomolgus monkeys

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Zoological Research 2025年第2期46卷 325-338页

作者： Yun-Peng Yang Li-Bing Xu Yong Lu Jing Wang Yan-Hong Nie Qiang Sun Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses College of Veterinary MedicineYangzhou UniversityYangzhouJiangsu 225009China Institute of Comparative Medicine Yangzhou UniversityYangzhouJiangsu 225009China Shanghai Center for Brain Science and Brain-Inspired Technology Shanghai 201602China Institute of Neuroscience CAS Key Laboratory of Primate NeurobiologyState Key Laboratory of NeuroscienceCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Key Laboratory of Genetic Evolution&Animal Models Chinese Academy of SciencesKunmingYunnan 650201China

While viral infections can disturb the host gut microbiome,the dynamic alterations in microbial composition following infection remain poorly *** study identified SRV-8-infected monkeys and classified them into five groups based on infection progression.16S rRNA amplicon sequencing revealed significant alterations in the relative and inferred absolute abundance of bacterial genera UCG-002,Agathobacter,Coprococcus,and Holdemanella during the early stage of SRV-8 infection,coinciding with provirus *** microbial shifts were accompanied by functional modifications in bacterial communities at the same *** contrast,ITS amplicon sequencing indicated no significant differences in fungal composition between healthy wild-type and SRV-8-infected *** correlation analyses demonstrated close interactions between intestinal bacteria and fungi following SRV-8 ***,SRV-8 seropositive groups exhibited significantly elevated mRNA expression levels of pro-inflammatory(TNF-α,IFN-γ,IL-1β,and IL-6)and anti-inflammatory(IL-10)cytokine genes,highlighting close associations between inflammatory cytokines and immune ***,these findings provide a comprehensive characterization of bacterial and fungal microbiota dynamics and inflammatory cytokine responses associated with SRV-8 infection,clarifying the pathobiological mechanisms underlying SRV-8 infection from the perspective of the gut microbiome.

关键词： Cynomolgus monkeys SRV-8 infection Dynamic alterations Bacterial and fungal microbes Inflammatory cytokines

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Neural Network-Based Frequency Optimization for Superconducting Quantum Chips

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Chinese Physics Letters 2025年第3期42卷 16-22页

作者： Bin-Han Lu Qing-Song Li Peng Wang Zhao-Yun Chen Yu-Chun Wu Guo-Ping Guo Key Laboratory of Quantum Information Chinese Academy of Sciences School of PhysicsUniversity of Science and Technology of ChinaHefei 230026China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230026China Origin Quantum Co. Ltd.(Hefei)

Optimizing frequency configurations for qubits and gates in superconducting quantum chips presents a complex NP-complete challenge,critical for mitigating decoherence and *** paper introduces a neural network-based approach,leveraging the network as a surrogate model to predict frequency *** method employs a closed-loop Bayesian optimization framework to iteratively refine configurations,guided by the network’s knowledge of nonlinear error *** focusing on localized chip windows,the optimization identifies optimal frequency settings that minimize *** approach is validated through randomized and cross-entropy benchmarking,showing improved energy calculations when optimizing frequency configurations for a crosstalkaware hardware-efficient ansatz in variational quantum eigensolvers on superconducting quantum chips.

关键词： quantum optimization variational

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Double-Feedback: Enhancing Large Language Models Reasoning in Robotic Tasks by Knowledge Graphs

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IEEE Robotics and Automation Letters 2025年第6期10卷 5951-5958页

作者： Wang, Haitao Zhang, Shaolin Wang, Shuo Jiang, Tianyu Ge, Yueguang Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology Shanghai200031 China

Large language models (LLMs) have demonstrated remarkable reasoning capabilities. However, in real-world robotic tasks, LLMs face grounding issues and lack precise feedback, resulting in the generated solutions deviating from the actual situation. In this letter, we propose Double-Feedback, a method that enhances LLMs reasoning by Knowledge graphs (KGs). The KGs play three key roles in Double-Feedback: prompting the LLMs to generate solutions, representing the task scenes, and verifying the solutions to provide feedback. We design structured knowledge prompts that convey the task knowledge background, example solutions, revision principles, and robotic tasks to the LLMs. We also introduce the distributed representation to quantify the task scene with interpretability. Based on the structured knowledge prompts and the distributed representation, we employ the KGs to evaluate the feasibility of each step before execution and verify the effects of the solutions after completing the tasks. The LLMs can adjust and replan the solutions based on the feedback from the KGs. Extensive experiments demonstrate that Double-Feedback outperforms prior works in the ALFRED benchmark. In addition, ablation studies show that Double-Feedback guides LLMs in generating solutions aligned with robotic tasks in the real world. © 2016 IEEE.

关键词： Knowledge graph

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The interaction between KIF21A and KANK1 regulates dendritic morphology and synapse plasticity in neurons

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Neural Regeneration Research 2025年第1期20卷 209-223页

作者： Shi-Yan Sun Lingyun Nie Jing Zhang Xue Fang Hongmei Luo Chuanhai Fu Zhiyi Wei Ai-Hui Tang Hefei National Research Center for Physical Sciences at the Microscale CAS Key Laboratory of Brain Function and DiseaseMinistry of Education Key Laboratory for Membrane-less Organelles and Cellular DynamicsDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefeiAnhui ProvinceChina CAS Center for Excellence in Molecular Cell Sciences Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Department of Neurobiology School of Life SciencesSouthern University of Science and TechnologyShenzhenGuangdong ProvinceChina Brain Research Center Southern University of Science and TechnologyShenzhenGuangdong ProvinceChina

Morphological alterations in dendritic spines have been linked to changes in functional communication between neurons that affect learning and ***-4 KIF21A helps organize the microtubule-actin network at the cell cortex by interacting with KANK1;however,whether KIF21A modulates dendritic structure and function in neurons remains *** this study,we found that KIF21A was distributed in a subset of dendritic spines,and that these KIF21A-positive spines were larger and more structurally plastic than KIF21A-negative ***,the interaction between KIF21A and KANK1 was found to be critical for dendritic spine morphogenesis and synaptic *** of either KIF21A or KANK1 inhibited dendritic spine morphogenesis and dendritic branching,and these deficits were fully rescued by coexpressing full-length KIF21A or KANK1,but not by proteins with mutations disrupting direct binding between KIF21A and KANK1 or binding between KANK1 and *** down KIF21A in the hippocampus of rats inhibited the amplitudes of long-term potentiation induced by high-frequency stimulation and negatively impacted the animals’cognitive *** together,our findings demonstrate the function of KIF21A in modulating spine morphology and provide insight into its role in synaptic function.

关键词： actin cytoskeleton dendrite KANK1 KIF21A microtubule spine morphology spine synaptic plasticity talin1

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IsoVISoR: Towards 3D Mesoscale brain Mapping of Large Mammals at Isotropic Sub-micron Resolution

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Neuroscience Bulletin 2025年第2期41卷 344-348页

作者： Chao-Yu Yang Yan Shen Xiaoyang Qi Lufeng Ding Yanyang Xiao Qingyuan Zhu Hao Wang Cheng Xu Pak-Ming Lau Pengcheng Zhou Fang Xu Guo-Qiang Bi Division of Life Sciences and Medicine CAS Key Laboratory of Brain Function and DiseaseUniversity of Science and Technology of ChinaHefei230026China Interdisciplinary Center for Brain Information Shenzhen-Hong Kong Institute of Brain ScienceShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518055China Center for Integrative Imaging Hefei National Research Center for Physical Sciences at the MicroscaleUniversity of Science and Technology of ChinaHefei230027China National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application MoE Key Laboratory of Brain-Inspired Intelligent Perception and CognitionSchool of Information Science and TechnologyUniversity of Science and Technology of ChinaHefei230026China Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing Institute of Artificial IntelligenceHefei Comprehensive National Science CenterHefei230088China Faculty of Life and Health Sciences Shenzhen University of Advanced TechnologyShenzhen518107China CAS Key Laboratory of Brain Connectome and Manipulation The Brain Cognition and Brain Disease InstituteShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518055China

Dear Editor,The mammalian brain exhibits cross-scale complexity in neuronal morphology and connectivity,the study of which demands high-resolution morphological reconstruction of individual neurons across the entire brain[1-4].Current commonly used approaches for such mesoscale brain mapping include two main types of three-dimensional fluorescence microscopy:the block-face methods,and the lightsheet-based methods[5,6].In general,the high imaging speed and light efficiency of light-sheet microscopy make it a suitable tool for high-throughput volumetric imaging,especially when combined with tissue-clearing ***,large brain samples pose major challenges to this approach.

关键词： brain mapping three dimensional fluorescence microscopy mesoscale brain mapping lightsheet based methods block face methods high throughput volumetric imaging tissue clearing techniques

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Multiscale Temporal-Convolution and Attention Improved Neural Network for Biased Mental State Recognition 17th

Multiscale Temporal-Convolution and Attention Improved Neur...

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17th International Conference on brain Informatics, BI 2024

作者： Zuo, Guoyu Xiao, Erjun Zhang, Tielin Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing University of Technology Beijing100124 China Center for Excellence in Brain Science and Intelligence Technology University of Chinese Academy of Sciences Shanghai200031 China

ISBN: (纸本)9789819632930

Accurate detection of mental state is vital for sleep assessment and anesthesia monitoring. However, challenges exist, including 1) limited data sources caused by few modalities, few channels, biased sample distribution, or large individual differences;2) multiscale dynamic feature of mental state signals, containing complex and dynamic fluctuations. In this paper, we proposed a multiscale temporal convolution and attention improved neural network (MTA-NN) to handle these two challenges, including: a preprocessing method using a clustering-first and label-generation approach for data augmentation involves filtering the production samples to mitigate the impact of noise on model performance;multiscale temporal-convolution module for detecting different scales of temporal and frequency features;an attention module for decoding key features in different spatial and temporal channels, and for setting the importance of historical dependencies;a full-connection layer is designed to recognize different sleep stage. The proposed MTA-NN is then verified in three typical sleep-state recognition tasks, including SleepEDF-20, SleepEDF-78, and ISRUC3. Compared to some state-of-the-art algorithms, the proposed MTA-NN achieves higher performance. Further ablation experiments show the necessary and importance of these designed sub modules in MTA-NN. We consider the same algorithm can also be extended to further similar mental state recognition tasks such as anesthesia monitoring. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Anesthesiology

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Vascular Ossification in the Developing brain:A case Study of Pediatric Sturge Weber Syndrome

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Neuroscience Bulletin 2025年第3期41卷 520-524页

作者： Ranxi Chen Shuhui Xie Jin Gao Shuli Zhang Xiaobin Zhang Yi Yao Gengxiu Zheng Fengpeng Wang Zili Liu Xuefeng Shen School of Chemistry and Chemical Engineering University of JinanJinan 250022China CAS Key Laboratory of Brain Connectome and Manipulation Shenzhen-Hong Kong Institute of Brain ScienceShenzhen Institute of Advanced Technology(SIAT)Chinese Academy of Sciences(CAS)Shenzhen 518055China The Brain Cognition and Brain Disease Institute SIATCASShenzhen 518055China Sino-Danish College University of CASBeijing 100190China HH-SIAT Joint Center for Epilepsy Research Xiamen Humanity Hospital(XHH)Xiamen 361003China Department of Pathology XHHXiamen 361003China State Key Laboratory of Brain and Cognitive Sciences CAS Center for Excellence in BiomacromoleculesInstitute of BiophysicsCASBeijing 100101China University of CAS Beijing 100049China Epilepsy Center XHHXiamen 361003China

Dear Editor,Sturge-Weber Syndrome(SWS)is a rare congenital neurocutaneous syndrome[1,2],with an estimated prevalence of 0.19 in 100,000 annually[3].It is a non-hereditary disease linked to a somatic mutation in the GNAQ,GNA11,or GNB2 gene[1],leading to vascular malformations in the cutaneous forehead,cerebral cortex,and eye[1,2].Notably,~70%of pediatric patients diagnosed with SWS exhibit brain calcification(BC)[4],though the prevalence of BC ranges from only 1%in young individuals to>20%in the senior population(>60 years old)[5].Similar to the elderly,BC in pediatric SWS patients is identified as vascular calcification[6,7],whereas BC in pediatric patients with tuberous sclerosis and tumors has been previously described as dystrophic calcification[6].

关键词： vascular calcification vascular malformations brain calcification bc brain calcification congenital neurocutaneous syndrome somatic mutation vascular ossification Sturge Weber syndrome

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GelStereo Tip: A Spherical Fingertip Visuotactile Sensor for Multi-Finger Screwing Manipulation

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IEEE Transactions on Automation science and Engineering 2025年 22卷 12012-12023页

作者： Zhang, Boyue Cui, Shaowei Zhang, Chaofan Hu, Jingyi Wang, Rui Wang, Shuo University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences School of Future Technology Beijing100049 China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China

Dexterous hands are the key element for robots to achieve human-like manipulation capabilities. An outstanding challenge is to provide fingertips of dexterous hands with precise tactile deformation sensing capabilities. In this paper, we present the GelStereo Tip, a spherical and easy-to-integrate GelStereo-type visuotactile sensor capable of sensing high-resolution 3D elastomer deformation. Previous calibration method does not take into account the impact of imaging errors caused by the sensor’s compact and high-curvature structural characteristics on the accuracy of tactile sensing. Therefore, we propose a novel self-calibration method based on the Refractive Stereo Ray Tracing model, named GTSC, and demonstrate the accuracy of less than 0.3 mm for deformation sensing. Furthermore, we also propose a Contact Retention Tactile Controller to address the issue of fingertips being unable to overcome obstructive torque during the multi-finger bottle cap screwing. After integrating GelStereo Tip into fingertips of Allegro Hand, the controller adjusts the joint positions of the given trajectory using proportional control based on the difference between the sensor’s actual deformation and the reference state for contact retention. We believe that the GelStereo Tip sensor combined with robotic dexterous hands has great application potential in the field of multi-finger fingertip manipulation. © 2004-2012 IEEE.

关键词： Proportional control systems

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Zebrafish cartilage development atlas generated by longitudinal in vivo imaging

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Journal of Genetics and Genomics 2025年第1期52卷 124-127页

作者： Shirong Jin Hongfei Zhang Jia Li Huaxing Zi Jiulin Du Hongyu Li Institute of Neuroscience State Key Laboratory of NeuroscienceCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of Sciences320 Yue-Yang RoadShanghai 200031China Department of Neurosurgery Huashan HospitalShanghai Medical CollegeFudan UniversityShanghai 200040China University of Chinese Academy of Sciences 19A Yu-Quan RoadBeijing 100049China School of Life Science and Technology ShanghaiTech University319 Yue-Yang RoadShanghai 200031China

Cartilage is a highly specialized connective tissue that provides structure,flexibility,and strength to joints and serves as a crucial precursor to bone formation throughout embryonic growth and *** formation relies on chondrocytes,which play a crucial role in maintaining tissue homeostasis by producing substantial amounts of extracellular matrix(ECM)and ground substance.

关键词： homeostasis cartilage vivo

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FlowSight: Vision-Based Artificial Lateral Line Sensor for Water Flow Perception

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IEEE Transactions on Robotics 2025年 41卷 3260-3277页

作者： Zhang, Tiandong Wang, Rui Cao, Qiyuan Cui, Shaowei Zheng, Gang Wang, Shuo Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China University of Lille Centrale Lille CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille Lille59000 France Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology Shanghai200031 China

This paper presents a novel vision-based artificial lateral line (ALL) sensor, FlowSight, enhancing the perception capabilities of underwater robots. Through an autonomous vision system, FlowSight allows for simultaneous sensing the speed and direction of local water flow without relying on external auxiliary equipment. Inspired by the lateral line neuromast of fish, a flexible bionic tentacle is designed to sense water flow. Deformation and motion characteristics of the tentacle are modeled and analyzed using bidirectional fluid-structure interaction (FSI) simulation. Upon contact with water flow, the tentacle converts water flow information into elastic deformation information, which is captured and processed into an image sequence by the autonomous vision system. Subsequently, a water flow perception method based on deep neural networks is proposed to estimate the flow speed and direction from the captured image sequence. The perception network is trained and tested using data collected from practical experiments conducted in a controllable swim tunnel. Finally, the FlowSight sensor is integrated into the bionic underwater robot RoboDact, and a closed-loop motion control experiment based on water flow perception is conducted. Experiments conducted in the swim tunnel and water pool demonstrate the feasibility and effectiveness of FlowSight sensor and the water flow perception method. © 2004-2012 IEEE.

关键词： Auxiliary equipment

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