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Revisiting astrocytic calcium signaling in the brain

Fundamental Research 2024年第6期4卷 1365-1374页

作者： Ying Bai Zhongqiu Zhou Bing Han Xianyuan Xiang Wenhui Huang Honghong Yao Department of Pharmacology Jiangsu Provincial Key Laboratory of Critical Care MedicineSchool of MedicineSoutheast UniversityNanjing 210009China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Molecular Physiology CIPMMUniversity of SaarlandHomburg 66421Germany Co-innovation Center of Neuroregeneration Nantong UniversityNantong 226001China Institute of Life Sciences Key Laboratory of Developmental Genes and Human DiseaseSoutheast UniversityNanjing 210096China Center for Global Health School of Public HealthNanjig Medical UniversityNanjing 211166China

Astrocytes,characterized by complex spongiform morphology,participate in various physiological processes,and abnormal changes in their calcium(Ca^(2+))signaling are implicated in central nervous system ***,medications targeting the control of Ca^(2+)have fallen short of the anticipated therapeutic outcomes in clinical *** underscores the fact that our comprehension of this intricate regulation of calcium ions remains considerably *** recent years,with the advancement of Ca^(2+)labeling,imaging,and analysis techniques,Ca^(2+)signals have been found to exhibit high specificity at different spatial locations within the intricate structure of *** has ushered the study of Ca^(2+)signaling in astrocytes into a new phase,leading to several groundbreaking research *** this,the comprehensive understanding of astrocytic Ca^(2+)signaling and their implications remains challenging area for future research.

关键词： Astrocyte Ca^(2+)signaling Central nervous system Synapse Ion channel

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Effect of Alsi Variation on the Evolution of Microstructure and Magnetic Properties of Feconi(Alsi)X High-Entropy Alloy

SSRN

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SSRN 2024年

作者： Yang, Shaofeng Li, Yujian Xiong, Xini Meng, Mengmeng Liu, Yushan Wang, Rui Li, Xiaohua Qian, Zhu Tianjin Key Laboratory of High Performance Precision Forming Technology and Equipment Tianjin University of Technology and Education Tianjin China Department of Mechanical and Electrical Engineering Quzhou College of Technology Quzhou China Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology China Tianjin University of Technology and Education China

This study aimed to design and prepare FeCoNi (AlSi)x high-entropy alloy (HEA) soft magnetic powder and bulk via mechanical alloying and spark plasma sintering(SPS), and to investigate the effects of AlSi variations on the microstructure evolution and soft magnetic properties of HEAs. A decrease in AlSi content promoted the precipitation of stratification faults (SFs) and twins from the face-centered cubic matrix. The addition of AlSi nonmagnetic elements and the formation of SFs and twins had obvious effects on the magnetic properties of the HEA. FeCoNi(AlSi)0.4 had excellent soft magnetic properties with 140.2 emu/g magnetic saturation (Ms) and 1.35 Oe coercivity field (Hc). © 2024, The Authors. All rights reserved.

关键词： Microstructure

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Matthew effect:General design strategy of ultra-fluorogenic nanoprobes with amplified dark–bright states in aggregates

Aggregate

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Aggregate 2024年第2期5卷 482-492页

作者： Shinsuke Segawa Xinwen Ou Tianruo Shen Tomohiro Ryu Yuki Ishii Herman H.Y.Sung Ian D.Williams Ryan T.K.Kwok Ken Onda Kiyoshi Miyata Xuewen He Xiaogang Liu Ben Zhong Tang Translational and Advanced Bioimaging Laboratory Department of Chemical and Biological EngineeringSchool of EngineeringThe Hong Kong University of Science and TechnologyKowloonHong KongChina Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced StudyThe Hong Kong University of Science and TechnologyKowloonHong KongChina Science Mathematics and Technology ClusterSingapore University of Technology and DesignSingaporeSingapore Department of Chemistry Graduate School of ScienceKyushu UniversityNishi-kuFukuokaJapan The Key Lab of Health Chemistry and Molecular Diagnosis of Suzhou College of ChemistryChemical Engineering and Materials ScienceSoochow UniversitySuzhouJiangsuChina School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhenGuangdongChina

Fluorescence imaging,a key technique in biological research,frequently utilizes fluorogenic probes for precise imaging in living *** is an effective emission quencher in fluorogenic probe designs,which can be selectively damaged upon bioorthogonal click reactions,leading to considerable emission *** significant efforts to increase the emission enhancement ratio(I_(AC)/I_(BC))of tetrazine-functionalized fluorogenic probes,the influence of molecular aggregation on the emission properties has been largely overlooked in these probe *** this study,we reveal that an ultrahigh I_(AC)/I_(BC)can be realized in the aggregate system when tetrazine is paired with aggregation-induced emission(AIE)*** amplifies its quenching efficiency upon aggregation and drastically reduce background *** click reactions damage tetrazine and trigger significant AIE,leading to considerably enhanced I_(AC)/I_(BC).We further showcase the capability of these ultra-fluorogenic systems in selective imaging of multiple organelles in living *** term this unique fluorogenicity of AIE luminogen-quencher complexes with amplified dark-bright states as“Matthew effect”in aggregate emission,potentially providing a universal approach to attain ultrahigh I_(AC)/I_(BC)in diverse fluorogenic systems.

关键词： aggregation-induced emission bioorthogonal chemistry click chemistry fluorescence imaging tetrazine

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Constructing the fluorine-containing structures for excellent tribological properties of degradable Poly(hexahydrotriazine)s

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Polymer 2025年 333卷

作者： Min, Chunying Su, Yaxiang Yu, Hang Liang, Hongyu Siddique, Amna Xu, Zhiwei School of Materials Science & Engineering Key Laboratory of Tribology of Jiangsu Province Jiangsu University Jiangsu Zhenjiang212013 China Institute of Advanced Manufacturing and Modern Equipment Technology School of Mechanical Engineering Jiangsu University Jiangsu Zhenjiang212013 China Department of Textile Technology National Textile University Sheikhupura Road Faisalabad37610 Pakistan School of Textile Science and Engineering Tiangong University Tianjin300387 China

Nowadays, degradable thermosets are confronted with a contradiction between their low performance and practical applications. In light of the weak covalent bonding of reversible bonds in biodegradable thermosetting resins, limits their applications in the field of tribology. Herein, we synthesize degradable poly(hexahydrotriazine)s (PHTs) by introducing trifluoromethyl (-CF3) groups at different positions of the aromatic diamine main chains, achieving simultaneous improvement of degradability and high friction performance. The results showed that the fluorinated PHTs exhibited higher glass transition temperature (173.8 °C), tensile strength (61.8 MPa), and faster degradation rate (3 h) as compared to non-fluorinated polymer. Notably, fluorinated PHT resins exhibited excellent anti-wear performance with wear rates decreasing by 78.6 % owing to the large steric hindrance effect and strong electronegativity brought about by –CF3, which increases the rigidity and heat resistance of the PHTs molecules, thereby enabling it to effectively resist frictional heat generated during the friction process. Fluorinated PHTs revealed excellent wear resistance and degradation properties, which facilitates their practical application of energy conservation and protective metal anti-wear coatings in the tribological industry. © 2025 Elsevier Ltd

关键词： Degradation

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Highly ordered inkjet-printed quantum-dot thin films enable efficient and stable QLEDs with EQE exceeding 23%

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eScience 2024年第3期4卷 152-162页

作者： Changting Wei Bo Xu Meng Zhang Zhenhuang Su Jiawei Gu Wenrui Guo Xingyu Gao Wenming Su Zheng Cui Seokwoo Jeon Zhiyong Fan Haibo Zeng MIIT Key Laboratory of Advanced Display Materials and Devices Institute of Optoelectronics&NanomaterialsSchool of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Ningbo Nato New Material Technology Co. LtdNingbo 315600China Shanghai Synchrotron Radiation Facility(SSRF) Zhangjiang LaboratoryShanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China School of Mechanical Engineering Jiangsu UniversityZhenjiang 212013China Printable Electronics Research Center Nano Devices and Materials DivisionSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China Department of Materials Science and Engineering Korea UniversitySeoul 02841South Korea Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong Kong 999077China

Inkjet-printed quantum dot light-emitting diodes(QLEDs)are emerging as a promising technology for next-generation ***,the progress in fabricating QLEDs using inkjet printing technique has been slower compared to spin-coated devices,particularly in terms of efficiency and *** key to achieving high performance QLEDs lies in creating a highly ordered and uniform inkjet-printed quantum dot(QD)thin *** this study,we present a highly effective strategy to significantly improve the quality of inkjet-printed CdZnSe/CdZnS/ZnS QD thin films through a pressure-assisted thermal annealing(PTA)*** from this PTA process,a high quality QD thin film with ordered packing,low surface roughness,high photoluminescence and excellent electrical property is *** mechanism behind the PTA process and its profound impact on device performance have been thoroughly investigated and ***,a record high external quantum efficiency(EQE)of 23.08%with an impressive operational lifetime(T50)of up to 343,342h@100cdm−2,and a record EQE of 22.43%with T50 exceeding to 1,500,463h@100cdm−2 are achieved in inkjet-printed red and green CdZnSe-based QLEDs,*** work highlights the PTA process as an important approach to realize highly efficient and stable inkjet-printed QLEDs,thus advancing QLED technology to practical applications.

关键词： Inkjet printing Quantum dot light-emitting diode High efficiency Thermal annealing Highly ordered

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Stackelberg Game for Wireless Powered and Backscattering Enabled Sensor Networks

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China Communications 2024年第3期21卷 189-204页

作者： Lyu Bin Cao Yi Wang Shuai Guo Haiyan Hao Chengyao Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou 215006China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

This paper investigates a wireless powered and backscattering enabled sensor network based on the non-linear energy harvesting model, where the power beacon(PB) delivers energy signals to wireless sensors to enable their passive backscattering and active transmission to the access point(AP). We propose an efficient time scheduling scheme for network performance enhancement, based on which each sensor can always harvest energy from the PB over the entire block except its time slots allocated for passive and active information delivery. Considering the PB and wireless sensors are from two selfish service providers, we use the Stackelberg game to model the energy interaction among them. To address the non-convexity of the leader-level problem, we propose to decompose the original problem into two subproblems and solve them iteratively in an alternating manner. Specifically, the successive convex approximation, semi-definite relaxation(SDR) and variable substitution techniques are applied to find a nearoptimal solution. To evaluate the performance loss caused by the interaction between two providers, we further investigate the social welfare maximization problem. Numerical results demonstrate that compared to the benchmark schemes, the proposed scheme can achieve up to 35.4% and 38.7% utility gain for the leader and the follower, respectively.

关键词： backscatter communication energy interaction stackelberg game wireless powered sensor network

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NavG: Risk-Aware Navigation in Crowded Environments Based on Reinforcement Learning with Guidance Points

arXiv

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arXiv 2025年

作者： Zhang, Qianyi Luo, Wentao Liu, Boyi Zhang, Ziyang Wang, Yaoyuan Liu, Jingtai Institute of Robotics and Automatic Information System Nankai University Tianjin Key Laboratory of Intelligent Robotics Tianjin China Advanced Computing and Storage Lab Huawei 2012 Lab China Department of Electronic and Computer Engineering The Kong Kong University of Science and Technology Hong Kong

Motion planning in navigation systems is highly susceptible to upstream perceptual errors, particularly in human detection and tracking. To mitigate this issue, the concept of guidance points—a novel directional cue within a reinforcement learning-based framework—is introduced. A structured method for identifying guidance points is developed, consisting of obstacle boundary extraction, potential guidance point detection, and redundancy elimination. To integrate guidance points into the navigation pipeline, a perception-to-planning mapping strategy is proposed, unifying guidance points with other perceptual inputs and enabling the RL agent to effectively leverage the complementary relationships among raw laser data, human detection and tracking, and guidance points. Qualitative and quantitative simulations demonstrate that the proposed approach achieves the highest success rate and near-optimal travel times, greatly improving both safety and efficiency. Furthermore, real-world experiments in dynamic corridors and lobbies validate the robot’s ability to confidently navigate around obstacles and robustly avoid pedestrians. © 2025, CC BY.

关键词： Travel time

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A Variable-speed Silent Speech Recognition Method based on Surface Electromyography Signal

A Variable-speed Silent Speech Recognition Method based on S...

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International Conference on advanced robotics and Mechatronics (ICARM)

作者： Sui Liang Yin Xu Zhaohua Yuan Lining Sun Weida Li Hongmiao Zhang School of Mechanical and Electric Engineering Soochow University Suzhou China Zoomlion Heavy Industry Science And Technology Co. Ltd Suzhou China Jiangsu Provincial Key Laboratory of Advanced Robotics Soochow University Suzhou China

In the practical implementation of silent speech recognition based on surface electromyography (sEMG) signal, the change in the subjects' speech speed will affect the recognition performance. To mitigate this effect, a silent speech recognition method based on dynamic time warping (DTW) algorithm is proposed in this paper. Specifically, the facial sEMG signals of 22 Chinese words are collected, the energy threshold method is used to detect the active segment, the root mean square feature is extracted, and finally the DTW algorithm is used for recognition. The experimental results show that the method is robust to silent speech recognition tasks with different speech speeds. The average accuracy of using the DTW algorithm to classify uniform-speed words is 94.55%, and that of variable-speed words is 71.82%. In addition, the proposed method is suitable for few samples learning, which means it can quickly adapt to new tasks and individuals. These findings provide a novel way for the practical application of sEMG based silent speech recognition.

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Production Stability of Narrow Gap Oscillation Laser Welding for Dissimilar Joint Steel in Construction Machinery

SSRN

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SSRN 2024年

作者： Fan, Yu Cao, Jian Zhang, Jun Zhao, Yong Fang, Rongchao Wang, Yeqing Chen, Zheng School of Materials and Physics China University of Mining and Technology Xuzhou221116 China State Key Laboratory of Advanced Welding and Joining Harbin Institute of Technology Harbin150001 China Xuzhou XCMG Excavator Machinery Company Limited Xuzhou221011 China Provincial Key Laboratory of Advanced Welding Technology Jiangsu University of Science and Technology Zhenjiang212003 China

Two kinds of low alloy high-strength steels used in construction machinery were welded via narrow gap oscillation laser welding wire filling method combing with high-speed photography technique. In order to clarify the effects of oscillation laser beam, the surface morphology and microstructure features of weld joint during oscillation laser welding and non-oscillation laser welding were compared. The relationship between microstructure and mechanical properties of the welded joint were analyzed. The results showed that the oscillation laser beam produces two effects: one effect is enlarging the heated surface of molten pool and promoting the fusion between sidewall and weld bead layers, the other effect is making the liquid metal in molten pool fluctuate periodically and inhibiting the formation of coarse columnar grains, which is replaced by the finer grains. The results also showed that the U-shaped groove is conducive to the shape of next pass welding during laser wire filling welding. The welded joint between Q355 and 35 steel after narrow gap oscillation laser welding showed excellent tensile impact bending performance, which is attributed to the grain refinement effect. The influence of the oscillation welding process on the quality of welding was discussed. © 2024, The Authors. All rights reserved.

关键词： Laser beam welding

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TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking

TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Xiaoyu Li Jingnan Wang Binhua Huang Chengliang Liu Yiwen Liu Yupo Zhang Zhengkun Yi Xinyu Wu Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen

Neural networks based on graph convolution are simple and effective network structures that have better performance in some fields compared to traditional convolutional networks. However, when graph convolution networks (GCN) are applied to other fields, how to transform data or features into graph edges is a challenge needed to be studied. In previous studies of non-Euclidean spatial data such as relationship studies, people achieve graph construction by indicating the connection or not of nodes with binary values. However, when graph network is applied to some multi-sensor data scenarios, especially human motion tracking tasks, binarization is obviously not the best solution for the weights of edges. In addition, relying on manual graph construction may ignore some cross-space sensor relationships, which makes the update information of nodes far away slower or unavailable. Therefore, we try to use Pearson correlation coefficient (PCC) as the estimation of node correlation, and construct a complete graph to enhance the connectivity of nodes, which achieve faster signal transmission at remote nodes. After combining it with the temporal convolutional network (TCN), we propose a new network structure TGCN-P. Experimentally, this approach is more effective compared to other baseline models.

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