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Cortical Representation of Pain and Touch:Evidence from Combined Functional Neuroimaging and Electrophysiology in Non-human Primates

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Neuroscience Bulletin 2018年第1期34卷 165-177页

作者： li Min Chen Departments of Radiology and Radiological Sciences and Psychology Institute of Imaging Science Vanderbilt University Medical Center

Human functional MRI studies in acute and various chronic pain conditions have revolutionized how we view pain, and have led to a new theory that complex multi-dimensional pain experience （sensory-discriminative, affective/motivational, and cognitive） is represented by concurrent activity in widely-distributed brain regions （termed a network or pain matrix）. Despite these break- through discoveries, the specific functions proposed for these regions remain elusive, because detailed electrophys- iological characterizations of these regions in the primate brain are lacking. To fill in this knowledge gap, we have studied the cortical areas around the central and lateral sulci of the non-human primate brain with combined submillimeter resolution functional imaging （optical imaging and fMRI） and intracranial electrophysiological recording. In this mini-review, I summarize and present data showing that the cortical circuitry engaged in nociceptive processing is much more complex than previously recognized. Electrophysiological evidence supports the engage- ment of a distinct nociceptive-processing network within SI （i.e., areas 3a, 3b, 1 and 2）, SII, and other areas along the lateral sulcus. Deafferentation caused by spinal cord injury profoundly alters the relationships between fMRI and electrophysiological signals. This finding has significant implications for using fMRI to study chronic pain conditions involving deafferentation in humans.

关键词： Nociception Non-human primate Cortex Functional MRI Functional connectivity

Enhanced permeability and biofouling mitigation of forward osmosis membranes via grafting graphene quantum dots

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Frontiers of Chemical Science and Engineering 2023年第10期17卷 1470-1483页

作者： Nan li Yumeng Zhang Peng li Bo Zhu Wei Wang Zhiwei Xu State Key Laboratory of Separation Membranes and Membrane Processes School of Textiles Science and EngineeringTiangong UniversityTianjin 300387China State Key Laboratory of Separation Membranes and Membrane Processes School of ChemistryTiangong UniversityTianjin 300387China

In this paper,graphene oxide quantum dots with amino groups(NH_(2)-GOQDs)were tailored to the surface of a thin-film composite(TFC)membrane surface for optimizing forward osmosis(FO)membrane performance using the amide coupling *** results jointly demonstrated hydrophilicity and surface roughness of the membrane enhanced after grafting NH_(2)-GOQDs,leading to the optimized affinity and the contact area between the membrane and water ***,grafting of the membrane with a concentration of 100 ppm(TFC-100)exhibited excellent permeability performance(58.32 L·m^(–2)·h^(–1))compared with TFC membrane(16.94 L·m^(–2)·h^(–1)).In the evaluation of static antibacterial properties of membranes,TFC-100 membrane destroyed the cell morphology of Escherichia coli(***)and reduced the degree of bacterial *** the dynamic biofouling experiment,TFC-100 membrane showed a lower flux decline than TFC *** the physical cleaning,the flux of TFC-100 membrane could recover to 96%of the initial flux,which was notably better than that of TFC membrane(63%).Additionally,the extended Derjaguin–Landau–Verwey–Overbeek analysis of the affinity between pollutants and membrane surface verified that NH_(2)-GOQDs alleviates *** contamination of *** work highlights the potential applications of NH_(2)-GOQDs for optimizing permeability and biofouling mitigation of FO membranes.

关键词： forward osmosis membrane graphene oxide quantum dots graft modification anti-fouling membrane XDLVO theory

Catalytic urea hydrolysis by composite metal oxide catalyst towards efficient urea-based SCR process:performance evaluation and mechanism investigation

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Frontiers of Environmental Science & Engineering 2023年第5期17卷 67-80页

作者： Yuchen li Zhen Chen Xiangyu Zhang Kun Yang lidong Wang Junhua li MOE Key Laboratory of Resources and Environmental Systems Optimization Department of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Xi’an Thermal Power Research Institute Co. Xi’an 710032China

As a promising option to provide gaseous NH_(3) for SCR system,catalytic urea hydrolysis has aroused great attention,and improving surface area and activity of catalysis are the crucial issues to be solved for efficient urea ***,a composite metal oxide(TiO_(2)@Al_(2)O_(3))catalyst was prepared by a simple hydrothermal method,with mesoporous alumina(γ-Al_(2)O_(3))as *** results verify the mesoporous structure and submicron cluster of TiO_(2)@Al_(2)O_(3),with exposed crystal faces of(101)and(400)for TiO_(2)andγ-Al_(2)O_(3),*** electronegativity difference of Ti4+and Al3+changes the charge distribution scheme around the interface,which provides abundant acid/base sites to boost the urea ***,for an optimal proportioning with nano TiO_(2)content at 10 wt.%,the hydrolysis efficiency can reach up to 35.2%at 100℃ in 2 h,increasing by~7.1%than that of the blank experiment.^(13)C NMR spectrum measurements provide the impossible intermediate species during urea *** calculations are performed to clarify the efficient H_(2)O decomposition at the interface of TiO_(2)@Al_(2)O_(3).The result offers a favorable technology for energy-efficiency urea hydrolysis.

关键词： SCR Urea hydrolysis Catalytic Water dissociation Electronegativity

Multi-attribute wearable pressure sensor based on multilayered modulation with high constant sensitivity over a wide range

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Nano Research 2023年第5期16卷 7583-7592页

作者： Ning li Song Gao Yang li Jianwen liu Wenhao Song Guozhen Shen School of Information Science and Engineering University of JinanJinan 250022China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of JinanJinan 250022China School of Integrated Circuits and Electronics Beijing Institute of TechnologyBeijing 100081China School of Aeronautical and Astronautical Engineering Purdue University West LafayetteIN 47907USA

Flexible pressure sensors capable of monitoring diverse physiological signals and body movements have garnered tremendous attention in wearable electronic ***,high constant sensitivity over a wide pressure range combined with breathability,biocompatibility,biodegradability is pivotal for manufacturing of reliable pressure sensors in practical sensing *** this work,inspired by the multilayered structure of skin epidermis,we propose and demonstrate a multi-attribute wearable piezoresistive pressure sensor consisting of multilayered gradient conductive poly(ε-caprolactone)nanofiber membranes *** response to externally applied pressure,a layer-by-layer current path is activated inside the multilayered membranes composites,leading to the most salient sensing performance of high constant sensitivity of 33.955 kPa^(−1) within the pressure range of 0–80 *** proposed pressure sensor also exhibits a fast response–relaxation time,a low detection limit,excellent stability,which can be successfully used to measure human physiological ***,an integrated sensor array system that can locate objects’positions is constructed and applied to simulate sitting posture *** results indicate that the proposed pressure sensor holds great potential in health monitoring and wearable electronic devices.

关键词： wearable pressure sensors multilayer structure high constant sensitivity multi-attribute physiological signals monitoring

Recent advances in synthesis strategies and solar-to-hydrogen evolution of 1T phase MS_(2)(M=W,Mo)co-catalysts

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Journal of Materials Science & Technology 2022年第6期101卷 242-263页

作者： Shuo li Jinyan Xiong Xueteng Zhu Weijie li Rong Chen Gang Cheng School of Chemistry and Environmental Engineering Wuhan Institute of TechnologyDonghu New&High Technology Development ZoneWuhan 430205China College of Chemistry and Chemical Engineering Hubei Key Laboratory of Biomass Fibers and Ecodyeing&FinishingWuhan Textile UniversityWuhan 430200China School of Materials Science and Hydrogen Energy Foshan UniversityFoshan 528000China Institute for Superconducting and Electronic Materials Innovation CampusSquires WayUniversity of WollongongNorth WollongongNSW 2500Australia Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450002China

Photocatalytic water splitting is a promising strategy to produce hydrogen as a sustainable and clean energy carrier,based on abundant solar energy and semiconductor photocatalysts,and it has received extensive research and discussion over the past several *** is challenging,however,to achieve an efficient solar-to-hydrogen evolution process with a single particulate photocatalyst due to the weak solar spectrum harvest and the rapid recombination of photogenerated electron-hole pairs during the photocatalysis *** semiconductors to create different co-catalysts presents a viable solution to the above ***,semiconductor photocatalysts modified by different transition metal sulfidebased co-catalysts with designed functions,especially in light absorption enhancement and chargecarrier-separation efficiency promotion,have attracted much *** continued breakthroughs have been made in the preparation,modification,and solar-to-hydrogen evolution application of the 1T phase MS_(2)(M=W,Mo)co-catalyst-based photocatalysis system in recent years,we believe that a comprehensive review of this kind of co-catalyst would further promote its research and development to address the energy and environmental challenges that we are currently ***,recent studies and progress are summarized on the fabrication of 1T phase MS_(2)(M=W,Mo)-based co-catalyst materials,as well as their roles and functional mechanisms for photocatalytic H;***,concluding perspectives on the opportunities in and challenges for the further exploration of the 1T-MS_(2)(M=W,Mo)-based solar-tohydrogen evolution system are presented.

关键词： Solar-to-hydrogen evolution Co-catalysts 1T-MS_(2)(M=W Mo) Water splitting Synthesis strategies Photocatalysis

Collaborative optimization design of process parameter and structural topology for laser additive manufacturing

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Chinese Journal of Aeronautics 2023年第1期36卷 456-467页

作者： Shaoying li Hongkai WEI Shangqin YUAN Jihong ZHU Jiang li Weihong ZHANG State Ijr Center of Aerospace Design and Additive Manufacturing Northwestern Polytechnical UniversityXi’an 710072China MIIT Lab of Metal Additive Manufacturing and Innovative Design Northwestern Polytechnical UniversityXi’an 710072China Unmanned System Research Institute Northwestern Polytechnical UniversityXi’an 710072China

High-resolution laser additive manufacturing(LAM)significantly releases design free-dom,promoting the development of topology optimization(TO)and advancing structural design *** order to fully take advantage of voxelated forming methods and establish the quantitative relationship between the mechanical properties of printing components and multiple process factors(laser-and process-parameters),the concurrent optimization design method based on LAM should cover the process-performance *** study proposes a novel artificial intelligence-facilitated TO method for LAM to concurrently design microscale material property and macroscale structural topology of 3D components by adopting heuristic and gradient-based *** process–structure–property relationship of selective laser sintering is established by the back propagation neural network,and it is integrated into the TO algorithm for providing a systematic design scheme of structural topology and process *** with the classical optimization method,numerical examples show that this method is able to improve the mechanical performance of the macrostructure *** addition,the collaborative design method is able to be widely applied for complex functional part design and optimization,as well as case studies on artificial intelligence-facilitated product evaluation.

关键词： Back propagation neural network Gradient algorithm Laser additive manufactur-ing Process–structure–property Topology optimization

Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation

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Science China(Technological Sciences) 2023年第5期66卷 1304-1316页

作者： YANG Lei li ShaoBo li ChuanJiang ZHU CaiChao ZHANG AnSi liANG GuoQiang School of Mechanical Engineering Guizhou UniversityGuiyang550025China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing400044China

Anomaly detection is crucial to the flight safety and maintenance of unmanned aerial vehicles(UAVs)and has attracted extensive attention from ***-based approaches rely on prior knowledge,while model-based approaches are challenging for constructing accurate and complex physical models of unmanned aerial systems(UASs).Although data-driven methods do not require extensive prior knowledge and accurate physical UAS models,they often lack parameter selection and are limited by the cost of labeling anomalous ***,flight data with random noise pose a significant challenge for anomaly *** work proposes a spatiotemporal correlation based on long short-term memory and autoencoder(STCLSTM-AE)neural network data-driven method for unsupervised anomaly detection and recovery of UAV flight ***,UAV flight data are preprocessed by combining the Savitzky-Golay filter data processing technique to mitigate the effect of noise in the original historical flight data on the ***-based feature subset selection is subsequently performed to reduce the reliance on expert ***,the extracted features are used as the input of the designed LSTM-AE model to achieve the anomaly detection and recovery of UAV flight data in an unsupervised ***,the method's effectiveness is validated on real UAV flight data.

关键词： unmanned aerial vehicle(UAV) anomaly detection spatiotemporal correlation based on long short-term memory and autoencoder(STC-LSTM-AE) Savitzky-Golay feature selection

Numerical Investigation on Flow and Cooling Characteristics of a Micro-Ribbed Vane Endwall

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Journal of Thermal Science 2023年第2期32卷 786-799页

作者： DU Kun CHEN Qihao li Yang SUNDEN Bengt liU Cunliang li Wei School of Power and Energy Northwestern Polytechnical UniversityXi'an 710072China Yangtze River Delta Research Institute of NPU Northwestern Polytechnical UniversityTaicang 215400China Shaanxi Key Laboratory of Thermal Sciences in Aero-Engine System Northwestern Polytechnical UniversityXi'an 710129China NPU-KAI International Joint Laboratory of Advanced Aero-Engine Thermal Structure Northwestern Polytechnical UniversityXi'an 710129China AECC Hunan Aviation Powerplant Research Institute Zhuzhou 412002China Department of Energy Sciences Lund UniversityLund SE-22100Sweden

The secondary flow originated from the inherent pressure gradient inside the vane cascade has a strong impact on the endwall cooling performance as the crossflow sweeps the upstream coolant jet towards the suction side,resulting in intensifying thermal load near the pressure side *** a novel ribbed-endwall is introduced to suppress passage *** effects of the mass flow ratio and the rib layout were examined using numerical simulations by solving the three-dimensional Reynolds-averaged Navier-Stokes(RANS)equations with the shear stress transport(SST)k-ωturbulence *** results indicate that the ribs effectively prevent the coolant migrating from the pressure side to the suction side,helping the coolant jet to spread along the lateral ***,the endwall adiabatic film cooling effectiveness is substantially *** maximum cooling effectiveness is achieved for the case with three-ribs when the height of the rib equals one hole diameter among all *** area-averaged adiabatic cooling effectiveness is enhanced by 31.6%relative to the flat endwall when the mass flow ratio of coolant to mainstream equals to 0.52%.More importantly,the ribbed-endwall obtains a relatively lower level of aerodynamic loss owing to the reduced lateral migration inside the vane cascade.

关键词： vane endwall micro-ribbed endwall adiabatic film cooling effectiveness flow structure numerical study

Multi-block SSD based on small object detection for UAV railway scene surveillance

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Chinese Journal of Aeronautics 2020年第6期33卷 1747-1755页

作者： Yundong li Han DONG Hongguang li Xueyan ZHANG Baochang ZHANG Zhifeng XIAO North China University of Technology Beijing 100144China Key Laboratory of Large Structure Health Monitoring and Control Shijiazhuang 050043China Unmanned System Research Institute Beihang UniversityBeijing 100083China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China State Key Laboratory of Information Engineering in Surveying Wuhan UniversityWuhan 430079China

A method of multi-block Single Shot Multi Box Detector(SSD)based on small object detection is proposed to the railway scene of unmanned aerial vehicle *** address the limitation of small object detection,a multi-block SSD mechanism,which consists of three steps,is ***,the original input images are segmented into several overlapped ***,each patch is separately fed into an SSD to detect the ***,the patches are merged together through two *** the first stage,the truncated object of the sub-layer detection result is *** the second stage,a sub-layer suppression and filtering algorithm applying the concept of non-maximum suppression is utilized to remove the overlapped boxes of *** boxes that are not detected in the main-layer are *** addition,no sufficient labeled training samples of railway circumstance are available,thereby hindering the deployment of SSD.A two-stage training strategy leveraging to transfer learning is adopted to solve this *** deep learning model is preliminarily trained using labeled data of numerous auxiliaries,and then it is refined using only a few samples of railway scene.A railway spot in China,which is easily damaged by landslides,is investigated as a case *** results show that the proposed multi-block SSD method produces an overall accuracy of 96.6%and obtains an improvement of up to 9.2%compared with the traditional SSD.

关键词： Deep learning Multi-block Single Shot MultiBox Detector(SSD) Objection detection Railway scene Unmanned aerial vehicle remote sensing