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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 690-697页

作者： Yun zhang lulu zhang Yunze Cai the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China

This paper presents a novel cooperative value iteration(VI)-based adaptive dynamic programming method for multi-player differential game models with a convergence *** players are divided into two groups in the learning process and adapt their policies *** method removes the dependence of admissible initial policies,which is one of the main drawbacks of the PI-based ***,this algorithm enables the players to adapt their control policies without full knowledge of others’ system parameters or control *** efficacy of our method is illustrated by three examples.

关键词： Adaptive dynamic programming incomplete information multi-player differential game value iteration

Metformin alleviates spinal cord injury by inhibiting nerve cell ferroptosis through upregulation of heme oxygenase-1 expression

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Neural Regeneration Research 2024年第9期19卷 2041-2049页

作者： Zhihua Wang Wu Zhou Zhixiong zhang lulu zhang Meihua Li Department of Neurosurgery The First Affiliated Hospital of Nanchang UniversityNanchangJiangxi ProvinceChina Postdoctoral Innovation Practice Base The First Affiliated Hospital of Nanchang UniversityNanchangJiangxi ProvinceChina Department of Nephrology Nanchang People’s Hospital Affiliated to Nanchang Medical CollegeNanchangJiangxi ProvinceChina

Previous studies have reported upregulation of heme oxygenase-1 in different central nervous system injury *** oxygenase-1 plays a critical anti-inflammatory role and is essential for regulating cellular redox *** is a classic drug used to treat type 2 diabetes that can inhibit *** studies have shown that,when used to treat cardiovascular and digestive system diseases,metformin can also upregulate heme oxygenase-1 ***,we hypothesized that heme oxygenase-1 plays a significant role in mediating the beneficial effects of metformin on neuronal ferroptosis after spinal cord *** test this,we first performed a bioinformatics analysis based on the GEO database and found that heme oxygenase-1 was upregulated in the lesion of rats with spinal cord ***,we confirmed this finding in a rat model of T9 spinal cord compression injury that exhibited spinal cord nerve cell *** intraperitoneal injection of metformin for 14 days was found to both upregulate heme oxygenase-1 expression and reduce neuronal ferroptosis in rats with spinal cord ***,we used a lentivirus vector to knock down heme oxygenase-1 expression in the spinal cord,and found that this significantly reduced the effect of metformin on ferroptosis after spinal cord *** together,these findings suggest that metformin inhibits neuronal ferroptosis after spinal cord injury,and that this effect is partially dependent on upregulation of heme oxygenase-1.

关键词： acyl-CoA synthetase long-chain family member 4 ferroptosis glutathione peroxidase 4 heme oxygenase-1 inflammation iron lipid peroxidation metformin neuroprotection spinal cord injury

Source apportionment and specific-source-site risk of quinolone antibiotics for effluent-receiving urban rivers and groundwater in a city, China

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Journal of Environmental Sciences 2024年第10期144卷 185-198页

作者： Yu Zhao Yuanmeng Song lulu zhang Bo Zhao Mengqi Lu Jiansheng Cui Wenzhong Tang State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of ScienceBeijing 100085China College of Environment Science and Engineering Hebei University of Science and TechnologyShijiazhuang 050000China University of Chinese Academy of Sciences Beijing 100049China

There is a large surface-groundwater exchange downstream ofwastewater treatment plants(WWTPs),and antibiotics upstream may influence sites downstream of ***,samples from 9 effluent-receiving urban rivers(ERURs)and 12 groundwater sites were collected in Shijiazhuang City in December 2020 and April *** ERURs,8 out of 13 target quinolone antibiotics(QNs)were detected,and the total concentration of QNs in December and April were 100.6-4,398 ng/L and 8.02–2,476 ng/L,*** groundwater,all target QNs were detected,and the total QNs concentration was 1.09–23.03 ng/L for December and 4.54–170.3 ng/L for *** distribution of QNs was dissimilar between ERURs and *** QN concentrations were weakly correlated with land use types in the *** results of a positive matrix factorization model(PMF)indicated four potential sources of QNs in both ERURs and groundwater,and WWTP effluents were the main source of *** December to April,the contribution of WWTP effluents and agricultural emissions increased,while livestock activities *** value decomposition(SVD)results showed that the spatial variation of most QNs was mainly contributed by sites downstream(7.09%-88.86%)of ***,a new method that combined the results of SVD and PMF was developed for a specific-source-site risk quotient(SRQ),and the SRQ for QNs was at high level,especially for the sites downstream of *** temporal variation,the SRQ for WWTP effluents,aquaculture,and agricultural emissions ***,in order to control the antibiotic pollution,more attention should be paid to WWTP effluents,aquaculture,and agricultural emission sources for the benefit of sites downstream of WWTPs.

关键词： Source apportionment Singular value decomposition Positive matrix factorization model Quinolone antibiotics(QNs) Specific-source-site risk quotient(SRQ) WWTP effluents

A Hybrid Channel Stock Model for Stock Price Forecasting with Multifaceted Feature Fusion

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Data Intelligence 2024年第3期6卷 792-811页

作者： Zhiyu Xu Yong Wang Yisheng Li lulu zhang Bin Jiang School of Artificial Intelligence Chongqing University of TechnologyChongqing 401135China

Stock market is volatile and predicting stock prices is a challenging *** prices are influenced by multiple factors,and prediction using only numerical or image features is *** solve this problem,we propose a Hybrid Channel Stock model that incorporates multiple features of basic stock data,K-line charts and technical indicator factors for predicting the closing price of a stock on day n+*** model combines multiple aspects of data and uses a multi-channel structure including improved CNN-TW,bidirectional LSTM and Transformer ***,we construct the multi-channel branches of the multi-faceted feature fusion input network model;second,in this paper,we will use the concatenate method to stitch the output of each branch as the input of the rest of the network;the last layer in the network is the fully connected layer,which combines the linear activation function regression to output the predicted ***,we conducted extensive experiments on the Dow 30,SSH 50 and CSI100 *** experimental results show that the Hybrid Channel Stock method has the best performance with the smallest MSE,RMSE,MAE and MAPE compared with existing *** addition,the experiments on different trading days validate the stability and effectiveness of the model,providing an important reference for investors to make stock investment decisions.

关键词： Stock Price Forecast Hybrid Channel Stock model CNN-TW Multi-channel Multifaceted feature

Multi-Objective Loosely Synchronized Search for Multi-Objective Multi-Agent Path Finding with Asynchronous Actions

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 667-677页

作者： DU Haikuo GUO Zhengyu zhang lulu CAI Yunze Department of Automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai200240China China Airborne Missile Academy LuoyangHenan471000China National Key Laboratory of Air-based Information Perception and Fusion LuoyangHenan471000China

In recent years,the path planning for multi-agent technology has gradually matured,and has made breakthrough *** main difficulties in path planning for multi-agent are large state space,long algorithm running time,multiple optimization objectives,and asynchronous action of multiple *** solve the above problems,this paper first introduces the main problem of the research:multi-objective multi-agent path finding with asynchronous action,and proposes the algorithm framework of multi-objective loose synchronous(MO-LS)*** combining A*and M*,MO-LS-A*and MO-LS-M*algorithms are respectively *** completeness and optimality of the algorithm are proved,and a series of comparative experiments are designed to analyze the factors affecting the performance of the algorithm,verifying that the proposed MO-LS-M*algorithm has certain advantages.

关键词： multi-agent path finding multi-objective path planning asynchronous action loosely synchronous search

Corrosion Behavior of Graphene Nanosheets Reinforced Magnesium Matrix Composites in Simulated Body Fluids

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Acta Metallurgica Sinica(English Letters) 2024年第3期37卷 525-536页

作者： Liwen Chen Jianhui Jing lulu zhang Jing Li Weipeng Chen Limin Li Yuan Zhao Hua Hou Yuhong Zhao School of Materials Science and Engineering Collaborative Innovation Center of Ministry of Education and Shanxi Province for High-Performance Al/Mg Alloy MaterialsNorth University of ChinaTaiyuan 030051China Shanxi Key Laboratory of Advanced Manufacturing Technology School of Mechanical EngineeringNorth University of ChinaTaiyuan 030051China School of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China

Magnesium(Mg)alloy is considered as a promising biodegradable implant material but restricted to rapid ***,the new strategies based on thixomolding process had been explored to utilize the outstanding anti-permeability of graphene nanosheets(GNPs)while inhibit its galvanic corrosion with the matrix,so as to improve the corrosion resistance of *** agglomerate of GNPs with 0.9 wt%content is the main reason for the deterioration of corrosion performance due to the formation of micro-galvanic *** grain refinement of composites with 0.6 wt%content had positive effects on the better corrosion *** process adjusting,the unique distributions of GNPs along grain boundaries play a vital role in improving the corrosion *** can be ascribed to the following mechanisms:(I)The barriers can be established between the Mg matrix and corrosive medium,hence blocking the charge transfer at the interface;(II)The GNPs can effectively promote apatite deposition on the Mg matrix,leading to form dense apatite layers and prevent the further invasion of SBF;(III)The GNPs acting as reinforcements exists in the corrosion layer and apatite layer,impede the apatite layer falling off from the Mg *** findings broaden the horizon for biomedical applications in Mg matrix composites to realize desired performances.

关键词： Magnesium matrix composite Graphene nanosheets Corrosion resistance

Path Planning Based on A-Star and Dynamic Window Approach Algorithm for Wild Environment

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 725-736页

作者： DONG Dejin DONG Shiyin zhang lulu CAI Yunze Department of Automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai200240China Shanghai Electro-Mechanical Engineering Institute Shanghai201109China

The path planning problem of complex wild environment with multiple elements still poses *** paper designs an algorithm that integrates global and local planning to apply to the wild environmental path *** modeling process of wild environment map is *** optimization strategies are designed to improve the A-Star in overcoming the problems of touching the edge of obstacles,redundant nodes and twisting paths.A new weighted cost function is designed to achieve different planning ***,the improved dynamic window approach(DWA)is designed to avoid local optimality and improve time efficiency compared to traditional *** the necessary path re-planning of wild environment,the improved A-Star is integrated with the improved DWA to solve re-planning problem of unknown and moving obstacles in wild environment with multiple *** improved fusion algorithm effectively solves problems and consumes less time,and the simulation results verify the effectiveness of improved algorithms above.

关键词： path planning path re-planning wild environment A-Star algorithm dynamic window approach

Ground Passive Microwave Remote Sensing of Atmospheric Profiles Using WRF Simulations and Machine Learning Techniques

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Journal of Meteorological Research 2024年第4期38卷 680-692页

作者： lulu zhang Meijing LIU Wenying HE Xiangao XIA Haonan YU Shuangxu LI Jing LI Department of Atmospheric and Oceanic Sciences School of PhysicsPeking UniversityBeijing 100871 Key Laboratory of Middle Atmosphere and Global Environment Observation(LAGEO) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 University of Chinese Academy of Sciences Beijing 101408

Microwave radiometer(MWR) demonstrates exceptional efficacy in monitoring the atmospheric temperature and humidity profiles.A typical inversion algorithm for MWR involves the use of radiosonde measurements as the training ***,this is challenging due to limitations in the temporal and spatial resolution of available sounding data,which often results in a lack of coincident data with MWR deployment *** study proposes an alternative approach to overcome these limitations by harnessing the Weather Research and Forecasting(WRF) model's renowned simulation capabilities,which offer high temporal and spatial *** using WRF simulations that collocate with the MWR deployment location as a substitute for radiosonde measurements or reanalysis data,our study effectively mitigates the limitations associated with mismatching of MWR measurements and the sites,which enables reliable MWR retrieval in diverse geographical *** machine learning(ML) algorithms including extreme gradient boosting(XGBoost),random forest(RF),light gradient boosting machine(LightGBM),extra trees(ET),and backpropagation neural network(BPNN) are tested by using WRF simulations,among which BPNN appears as the most superior,achieving an accuracy with a root-mean-square error(RMSE) of 2.05 K for temperature,0.67 g m~(-3) for water vapor density(WVD),and 13.98% for relative humidity(RH).Comparisons of temperature,RH,and WVD retrievals between our algorithm and the sounding-trained(RAD) algorithm indicate that our algorithm remarkably outperforms the *** study verifies the feasibility of utilizing WRF simulations for developing MWR inversion algorithms,thus opening up new possibilities for MWR deployment and airborne observations in global locations.

关键词： microwave radiometer(MWR) Weather Research and Forecasting(WRF)model extreme gradient boosting(XGBoost) random forest(RF) light gradient boosting machine(LightGBM) extra trees(ET) backpropagation neural network(BPNN) monochromatic radiative transfer model(MonoRTM)

Development and performance evaluation of a culture-independent nanopore amplicon-based sequencing method for accurate typing and antimicrobial resistance profiling in Neisseria gonorrhoeae

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Science China(Life Sciences) 2024年第2期67卷 421-423页

作者： Chi zhang lulu zhang Feng Wang Yaling Zeng Liying Sun Di Wang Yamei Li Liqin Wang Junping Peng NHC Key Laboratory of Systems Biology of Pathogens Institute of Pathogen BiologyChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100176China Key Laboratory of Respiratory Disease Pathogenomics Chinese Academy of Medical SciencesBeijing 100730China Shenzhen Center for Chronic Disease Control Shenzhen 518020China

Dear Editor,Bacterial antimicrobial resistance(AMR)poses a serious threat to global human health(Antimicrobial Resistance Collaborators,2022).Comprehensive profiling of AMR and accurate molecular typing are important for tracking and controlling the emergence and dissemination of antibiotic-resistant bacteria(Yahara et al.,2021).We previously developed a multiplex amplicon sequencing-based method for directly sequencing AMR-related loci in *** from clinical samples(zhang et al.,2021).

关键词： gonorrhoeae resistance

Eubacterium coprostanoligenes alleviates chemotherapy-induced intestinal mucositis by enhancing intestinal mucus barrier

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1677-1692页

作者： Dongsheng Bai Jiawei Zhao Runde Wang Jiaying Du Chen Zhou Chunyang Gu Yuxiang Wang lulu zhang Yue Zhao Na Lu State Key Laboratory of Natural Medicines Jiangsu Key Laboratory of Carcinogenesis and InterventionDepartment of PhysiologySchool of Basic Medicine and Clinical PharmacyChina Pharmaceutical UniversityNanjing 210009China Department of Clinical Pharmacology School of PharmacyNanjing Medical UniversityNanjing 211166China

Chemotherapy-induced mucositis represents a severe adverse outcome of cancer treatment,significantly curtailing the efficacy of these treatments and,in some cases,resulting in fatal *** identifying intestinal epithelial cell damage as a key factor in chemotherapy-induced mucositis,the paucity of effective treatments for such damage is *** our study,we discovered that Eubacterium coprostanoligenes promotes mucin secretion by goblet cells,thereby fortifying the integrity of the intestinal mucus *** enhanced barrier function serves to resist microbial invasion and sub-sequently reduces the inflammatory ***,this effect remains unobtrusive to the anti-tumor efficacy of chemotherapy ***,*** up-regulates the expression of AUF1,leading to the stabilization of Muc2 mRNA and an increase in mucin synthesis in goblet *** espe-cially significant finding is that *** activates the AhR pathway,thereby promoting the expression of *** summary,our results strongly indicate that *** enhances the intestinal mucus barrier,effec-tively alleviating chemotherapy-induced intestinal mucositis by activating the AhR/AUFl pathway,consequently enhancing Muc2 mRNA stability.

关键词： Chemotherapy Mucositis Eubacterium coprostanoligenes MUC2 AUF1