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The effects evaluation of a long-term neurofeedback training using coupling EEG-EMG features**research supported by the national key research and development program of china under grant 2017YFB1300302, national Natural Science Foundation of china (No. 81630051, 81925020, 62006171), and Tianjin key Technology R&D program (No. 17ZXRGGX00020).

The effects evaluation of a long-term neurofeedback training...

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International IEEE/EMBS Conference on Neural Engineering, CNE

作者： Feng He Beibei He Zhongpeng Wang Long Chen Bin Gu Shuang Liu MinPeng Xu Dong Ming Tianjin International Joint Research Center for Neural Engineering College of Precision Instruments & Optoelectronics Engineering Tianjin University Tianjin China Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China

Brain-computer interfaces (BCIs) have been widely used to improve or restore neural functions. For stroke patients, BCIs based on motor training show a promising potential in motor rehabilitation. However, the neural mechanism and the effects of different time course in motor rehabilitation remain unclear. To this end, our study focused on the BCI based neurofeedback training (NFT) design and its evaluation method. During motor imagery and execution (MI/ME) tasks, electroencephalogram (EEG) and electromyogram (EMG) were synchronously recorded and probed. We found the multi-band changes of coupling EEG-EMG features. Additionally, the longterm motor NFT significantly improved the cortical-muscle activation, while non-feedback training improved less. These relevant results give a theoretical basis to the development and application of new neural rehabilitation technology.

关键词： Training Couplings Neural engineering Stroke (medical condition) Entropy Electromyography Image restoration

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Synchronous Classification of SSVEP-EMG Fusion Signal from Occipital Electrodes Using Convolutional Neural Networks**This work supported by national Natural Science Foundation of china (11772037, 32071315) and The national key research and development program of china (2020YFC0122201) and key research and development Project of Shanxi Province (No. 201903D321167).

Synchronous Classification of SSVEP-EMG Fusion Signal from O...

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International IEEE/EMBS Conference on Neural Engineering, CNE

作者： Zhimin Zhang Kai Guan Zhaopeng Qian Fei Shen Tao Liu Haijun Niu Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical Engineering Beihang University Beijing China

Combinations of steady-state visual evoked potential (SSVEP) and electromyography (EMG) are one of the most widely used hybrid brain-computer interfaces (BCI). For users who are suffering from severe motor impairments and could only control muscles above their necks, the EMG of jaw clench is commonly used together with SSVEP. Traditional asynchronous signal collecting and serial processing method is time-consuming. This study explored the simultaneous classification of SSVEP and jaw clench-related EMG from the same occipital electrodes. A convolutional neural network (CNN) model was adopted to classify the fusion signal after extracting different time and frequency domain features. Synchronous 12-class identification from 3 jaw clench patterns and 4 stimulate frequencies was tested on ten subjects. The 10-folder cross-validation results showed that using only 4 occipital electrodes, the CNN model with continuous wavelet transform feature achieved the overall best 89.3±4.0% accuracy for sync 12-class. Besides, the parallel acquiring and analyzing method has the lowest consuming time. The proposed method could reduce the signal channels and shorten the collect-process time of the SSVEP-EMG hybrid BCI.

关键词： Electrodes Visualization Neural engineering Feature extraction Synchronous motors Electromyography Steady-state

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BRITD:behavior rhythm insider threat detection with time awareness and user adaptation

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Cybersecurity 2025年第1期8卷 227-246页

作者： Shuang Song Neng Gao Yifei Zhang Cunqing Ma Institute of Information Engineering Chinese Academy of SciencesBeijingChina State Key of Laboratory of Information Security Chinese Academy of SciencesBeijingChina School of Cyber Security University of Chinese Academy of SciencesBeijingChina

researchers usually detect insider threats by analyzing user *** time information of user behavior is an important concern in internal threat *** works on insider threat detection fail to make full use of the time information,which leads to their poor detection *** this paper,we propose a novel behavioral feature extraction scheme:we implicitly encode absolute time information in the behavioral feature sequences and use a feature sequence construction method taking covariance into account to make our scheme adaptive to *** select Stacked Bidirectional LSTM and Feedforward Neural Network to build a deep learning-based insider threat detection model:Behavior Rhythm Insider Threat Detection(BRITD).BRITD is universally applicable to various insider threat scenarios,and it has good insider threat detection performance:it achieves an AUC of 0.9730 and a precision of 0.8072 with the CMU CERT dataset,which exceeds all baselines.

关键词： Insider threat detection Behavior pattern mining Time information User adaptive Deep learning

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Synthesis ofδ-MnO_(2)via ozonation routine for low temperature formaldehyde removal

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Journal of Environmental Sciences 2025年第1期147卷 642-651页

作者： Guijun Fan Yacong Guo Shaohua Chai Le Zhang Jian Guan Guojun Ma Ning Han Yunfa Chen State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China College of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Science and Technology on Particle Materials Institute of Process EngineeringChinese Academy of SciencesBeijing 361021China Key Laboratory for Mechanics in Fluid Solid Coupling Systems Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of Petrochemical Engineering&Environment Zhejiang Ocean UniversityZhoushan 316022China

Nowadays,it is still a challenge to prepared high efficiency and low cost formaldehyde(HCHO)removal catalysts in order to tackle the long-living indoor air ***,δ-MnO_(2)is successfully synthesized by a facile ozonation strategy,where Mn^(2+)is oxidized by ozone(O_(3))bubble in an alkaline *** presents one of the best catalytic properties with a low 100%conversion temperature of 85℃for 50 ppm of HCHO under a GHSV of 48,000 mL/(g·hr).As a comparison,more than 6 times far longer oxidation time is needed if O3 is replaced by O_(2).Characterizations show that ozonation process generates a different intermediate of tetragonalβ-HMnO_(2),which would favor the quick transformation into the final productδ-MnO_(2),as compared with the relatively more thermodynamically stable monoclinicγ-HMnO_(2)in the O_(2)***,HCHO is found to be decomposed into CO_(2)via formate,dioxymethylene and carbonate species as identified by room temperature insitu diffuse reflectance infrared fourier transform *** these results show great potency of this facile ozonation routine for the highly activeδ-MnO_(2)synthesis in order to remove the HCHO contamination.

关键词： δ-MnO_(2) Ozone oxidation HCHO oxidation In-situ DRIFTS

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Si-C Foam Porous-Medium Combustion Power-Generation System for Low-Calorific-Value Biomass Syngas

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Journal of Thermal Science 2025年第1期34卷 206-222页

作者： YANG Jianwen CHEN Wei CAO Bingwei LIU Xinhui LI Hang College of Mechanical and Aerospace Engineering Jilin UniversityChangchun 130025China School of Mechanical and Vehicle Engineering Changchun UniversityChangchun 130022China

Syngas produced from the gasification of organic feedstocks from biomass is one of the clean and sustainable sources of *** advantages of simple access and renewability of biomass energy can meet the energy needs of temporary power *** study presents a biomass power-generation system for vehicular *** biomass and a free-piston Stirling engine generator(FPSEG)as the primary material and prime mover,respectively,biomass energy is converted into electricity by combusting the syngas to heat the *** and key parameter design for biomass gasification and thermoelectric conversion systems within a power generation system were performed.A porous medium area was constructed using Si-C foam ceramics to obtain an energy-conversion experimental *** effects of bed height,porosity,porous-region diameter,and air-intake conditions on the power-generation performance were investigated,and optimisations were performed for the thermoelectric conversion *** rate of increase during FPSEG power generation first increased and then decreased with increasing bed height,peaking at a bed height of 40 *** increasing porous-region diameter accelerated FPSEG power generation,whereas porosity changes in the porous media did not significantly affect the rate of change during FPSEG power *** increasing air intake,the rate of increase during power generation first increased and then *** maximum change rate and the highest thermoelectric conversion efficiency of the power-generation system occurred at 9.5 m^(3)/h and 6.5 m^(3)/h(~45.1%)air intakes,*** the thermal inertia and combustion structure of the thermoelectric conversion system significantly increased the power-generation rate of the system,with 1.8 W/s being observed at a 9.7 m^(3)/h air intake.

关键词： biomass gasification combined heat and power(CHP) porous media combustion power generation

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Nonflammable electrolyte with weak-solvation structure for stable NCM811 cathode under high temperature

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Journal of Energy Chemistry 2025年第5期104卷 111-117页

作者： Dawei Xu Chao Yang Ailing Yang Xiaowei Liu Meilong Wang Jin Han Tiefeng Liu Ya You State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology International School of Materials Science and Engineering School of Materials Science and Microelectronics Wuhan University of Technology College of Chemical and Biological Engineering Zhejiang University Quzhou Institute of Power Battery and Grid Energy Storage

High-nickel cathode LiNi0.8Co0.1Mn0.1O2（NCM811） could enable lithium-ion batteries （LIBs） with high energy ***,excessive decomposition of the electrolyte would happen in the high operating voltage *** addition,the utilization of flammable organic solvents would increase safety risks in the high temperature ***,an electrolyte consisting of flame-retardant solvents with lower highest occupied molecular orbital （HOMO） level and LiDFOB salt is proposed to address above two *** a result,a thin and robust cathode-electrolyte interface containing rich LiF and Li-B-O compounds is formed on the cathode to effectively suppress electrolyte decomposition in the high operating *** NCM811||Li cell paired with this designed electrolyte possesses a capacity retention of 72% after 300 cycles at 55℃.This work provides insights into developing electrolyte for stable high-nickel cathode operated in the high temperature.

关键词： Electrolyte engineering High temperature High-nickel cathode Safety Weak solvation

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Structural optimization of the rotary valve in a two-stage Gifford-McMahon-type pulse-tube cryocooler working at liquid helium temperatures

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2025年第2期26卷 109-120页

作者： Qinyu ZHAO Jun CHENG Yanrui ZHANG Haoren WANG Bo WANG Ruize LI Hua ZHANG Zhihua GAN School of Energy and Power Engineering University of Shanghai for Science and TechnologyShanghai 200093China Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province Hangzhou City UniversityHangzhou 310015China Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province Zhejiang UniversityHangzhou 310027China

Gifford-McMahon-type pulse-tube cryocoolers(GM-PTCs)working at liquid helium temperatures are promising in quantum technology and cryogenic physics for their high reliability and minimal *** features stem from the fact that there are no extra moving parts introduced into the *** rotary valve is a key component in GM-PTCs that transfers the output exergy from the compressor to the cold *** a low Carnot efficiency of 1.58%is achieved at liquid helium temperatures,optimizing the rotary valve is crucial for improving the efficiency of *** this regard,an exergy-loss analysis method is proposed in this paper to quantitatively obtain the leakage loss and viscosity loss of a rotary valve by experimental *** results show that viscosity loss accounts for more than 97.5%of the total exergy loss in the rotary valve,and that it is possible to improve the structure of the rotary valve by expanding the flow area by 1.5 *** verify the method,the cooling temperature and power of a remote two-stage GM-PTC were monitored,with original or optimized rotary valves *** experimental results show that compared to the original rotary valve,the optimized rotary valve can improve the cooling efficiency of a GM-PTC by 16.4%,with a cooling power of 0.78 W at 4.2 K.

关键词： Rotary valve Exergy analysis Liquid helium temperature Gifford-McMahon-type pulse-tube cryocooler(GM-PTC) Highefficiency

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Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning

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Journal of Environmental Sciences 2025年第1期147卷 259-267页

作者： Jin-Man Cao Yu-Qian Liu Yan-Qing Liu Shu-Dan Xue Hai-Hong Xiong Chong-Lin Xu Qi Xu Gui-Lan Duan State Key Lab of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450052China University of Chinese Academy of Sciences Beijing 100049China

Arsenic(As)pollution in soils is a pervasive environmental *** immobilization offers a promising solution for addressing soil As *** efficiency of biochar in immobilizing As in soils primarily hinges on the characteristics of both the soil and the ***,the influence of a specific property on As immobilization varies among different studies,and the development and application of arsenic passivation materials based on biochar often rely on empirical *** enhance immobilization efficiency and reduce labor and time costs,a machine learning(ML)model was employed to predict As immobilization efficiency before biochar *** this study,we collected a dataset comprising 182 data points on As immobilization efficiency from 17 publications to construct three ML *** results demonstrated that the random forest(RF)model outperformed gradient boost regression tree and support vector regression models in predictive *** importance analysis and partial dependence plots based on the RF model were conducted to identify the most crucial factors influencing As *** findings highlighted the significant roles of biochar application time and biochar pH in As immobilization efficiency in ***,the study revealed that Fe-modified biochar exhibited a substantial improvement in As *** insights can facilitate targeted biochar property design and optimization of biochar application conditions to enhance As immobilization efficiency.

关键词： Biochar Arsenic immobilization Soil Machine learning

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Removal of arsenic from water by silver nanoparticles and Fe-Ce mixed oxide supported on polymeric anion exchanger

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Journal of Environmental Sciences 2025年第5期151卷 540-549页

作者： Li Li Su-juan Yu Rong-gang Zheng Qing-cun Li Rui Liu Jing-fu Liu State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances Institute of Environment and HealthJianghan UniversityWuhan 430056China University of Chinese Academy of Sciences Beijing 100049China Department of Ecology and Resources Engineering He Tao CollegeInner Mongolia 015000China

By encapsulating nanoscale particles of goethite(α-FeO(OH)),hydrous ceric oxide(CeO_(2)·H_(2)O,HCO)and silver nanoparticles(AgNPs)in the pores of polystyrene anion exchanger D201,a novel nanocomposite FeO(OH)-HCO-Ag-D201 was prepared for the effective removal of arsenic from *** isotherm study shows that FeO(OH)-HCO-Ag-D201 has excellent adsorption performance for As(III)and As(V),with an increased adsorption capacity of As(III)to 40.12 mg/g compared to that of 22.03 mg/g by the composite adsorbent without AgNPs(FeO(OH)-HCO-D201).The adsorption kinetics data showed that the sorption rate of FeO(OH)-HCO-Ag-D201 for As(III)is less than that for As(V),and the adsorption of As(III)and As(V)were consistent with the pseudo-second-order model and the pseudofirst-order model,*** or basic conditions are favored for the adsorption of As(III/V)by FeO(OH)-*** with nitrate/chloride/bicarbonate,sulfate/silicate/phosphate showed more remarkable inhibition of arsenic removal by FeO(OH)-HCO-Ag-D201,whereas natural organic matter showed no interference to the arsenic *** As(V)adsorption involved different interactions such as electrostatic attraction and surface complexation,while the adsorption of As(III)involved the part oxidization of As(III)to As(V)and the simultaneous adsorption of As(III)and As(V).In addition to the Ce(IV)in CeO_(2)·H_(2)O acted as an oxidant,the synergistic effect ofα-FeO(OH)and AgNPs also contributed to the oxidization of As(III)to As(V).Moreover,the reusable property suggested that this FeO(OH)-HCO-Ag-D201 nanocomposite has great potential for arsenic-contaminated water purification.

关键词： FeO(OH)-HCO-Ag-D201 Arsenic removal Synergistic effect Oxidation Electrostatic attraction Surface complexation

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Soot volume fraction measurements in aero-engine model combustor outlet using two-color laser-induced incandescence

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Chinese Journal of Aeronautics 2025年第3期38卷 249-261页

作者： Linsen WANG Pengji DING Sijie YAN Jie LI Jingwei Zhang Chaozong WANG Zhibo CAO Quan ZHOU Jinhe MU Gang Meng Wenyan SONG Zhenyu XU Bo Yan Shuang CHEN State Key Laboratory of Aerodynamics China Aerodynamics Research and Development CenterMianyang 621000China Facility Design and Instrumentation Institute China Aerodynamics Research and Development CenterMianyang 621000China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China School of Power and Energy Northwestern Polytechnical UniversityXi’an 710129China AECC Commercial Aircraft Engine Co.Ltd. Shanghai 200241China Anhui Institute of Optics and Fine Mechanics Chinese Academy of SciencesHefei 230031China

Quantitative measurement of Soot Volume Fraction (SVF) is an essential prerequisite for controlling soot particle emissions from aero-engine combustors. As an in-situ and non-intrusive optical diagnostic technique, Laser-Induced Incandescence (LII) has been increasingly applied for soot concentration quantification in various combustion environments such as laminar flame, vehicle exhaust, internal combustion chamber as well as aero-engine combustor. In this work, we experimentally measured the spatial and temporal distribution of SVF using two-color LII technique at the outlet of a single-sector dual-swirl aero-engine model combustor. The effect of inlet pressure and air preheat temperature on the SVF distribution was separately investigated within a pressure range of 241–425 kPa and a temperature range of 292–500 K. The results show that soot production increases with the inlet pressure but generally decreases with the air preheat temperature. Qualitative analysis was provided to explain the above results of parametric studies. The LII experiments were also conducted under 3 designed conditions to evaluate soot emission under practical operations. Particularly, weak soot emission was detected at the outlet under the idle condition. Our experimental results provide a valuable benchmark for evaluating soot emission in the exhaust plume of this aero-engine combustor during practical operations.

关键词： Aero-engine combustor Combustion diagnostics Soot Volume Fraction(SVF) Laser-Induced Incandescence(II) Inlet pressure Air preheat temperature

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