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Using restored two-dimensional X-ray images to reconstruct the three-dimensional magnetopause

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Earth and Planetary Physics 2024年第1期8卷 133-154页

作者： RongCong Wang JiaQi Wang DaLin Li TianRan Sun XiaoDong Peng yihong Guo National Space Science Center Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing100049China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China

Astronomical imaging technologies are basic tools for the exploration of the universe,providing basic data for the research of astronomy and space physics.The Soft X-ray Imager(SXI)carried by the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)aims to capture two-dimensional(2-D)images of the Earth’s magnetosheath by using soft X-ray imaging.However,the observed 2-D images are affected by many noise factors,destroying the contained information,which is not conducive to the subsequent reconstruction of the three-dimensional(3-D)structure of the magnetopause.The analysis of SXI-simulated observation images shows that such damage cannot be evaluated with traditional restoration models.This makes it difficult to establish the mapping relationship between SXIsimulated observation images and target images by using mathematical models.We propose an image restoration algorithm for SXIsimulated observation images that can recover large-scale structure information on the magnetosphere.The idea is to train a patch estimator by selecting noise–clean patch pairs with the same distribution through the Classification–Expectation Maximization algorithm to achieve the restoration estimation of the SXI-simulated observation image,whose mapping relationship with the target image is established by the patch estimator.The Classification–Expectation Maximization algorithm is used to select multiple patch clusters with the same distribution and then train different patch estimators so as to improve the accuracy of the estimator.Experimental results showed that our image restoration algorithm is superior to other classical image restoration algorithms in the SXI-simulated observation image restoration task,according to the peak signal-to-noise ratio and structural similarity.The restoration results of SXI-simulated observation images are used in the tangent fitting approach and the computed tomography approach toward magnetospheric reconstruction techniques,significantly improving the reconstruction results.Hence,the proposed te

关键词： Solar wind Magnetosphere Ionosphere Link Explorer(SMILE) soft X-ray imager magnetopause image restoration

Construction and validation of a risk-prediction model for anastomotic leakage after radical gastrectomy: A cohort study in China

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Laparoscopic, Endoscopic and Robotic Surgery 2024年第1期7卷 34-43页

作者： Jinrui Wang Xiaolin Liu Hongying Pan yihong Xu Mizhi Wu Xiuping Li yang Gao Meijuan Wang Mengya Yan Nursing Department Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou 310016China Department of General Surgery Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou 310016China School of Nursing Zhejiang Chinese Medical UniversityHangzhou 310053China

Objectives:Anastomotic leakage(AL)stands out as a prevalent and severe complication following gastric cancer surgery.It frequently precipitates additional serious complications,significantly influencing the overall survival time of patients.This study aims to enhance the risk-assessment strategy for AL following gastrectomy for gastric cancer.Methods:This study included a derivation cohort and validation cohort.The derivation cohort included patients who underwent radical gastrectomy at Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,from January 1,2015 to December 31,2020.An evidence-based predictor questionnaire was crafted through extensive literature review and panel discussions.Based on the questionnaire,inpatient data were collected to form a model-derivation cohort.This cohort underwent both univariate and multivariate analyses to identify factors associated with AL events,and a logistic regression model with stepwise regression was developed.A 5-fold cross-validation ensured model reliability.The validation cohort included patients from August 1,2021 to December 31,2021 at the same hospital.Using the same imputation method,we organized the validation-queue data.We then employed the risk-prediction model constructed in the earlier phase of the study to predict the risk of AL in the subjects included in the validation queue.We compared the predictions with the actual occurrence,and evaluated the external validation performance of the model using model-evaluation indicators such as the area under the receiver operating characteristic curve(AUROC),Brier score,and calibration curve.Results:The derivation cohort included 1377 patients,and the validation cohort included 131 patients.The independent predictors of AL after radical gastrectomy included age65 y,preoperative albumin<35 g/L,resection extent,operative time240 min,and intraoperative blood loss90 mL.The predictive model exhibited a solid AUROC of 0.750(95%CI:0.694e0.806;p<0.001)with a Brier score of 0.049.The 5-fold cross-validation c

关键词： Stomach neoplasms Anastomotic leak Risk factors Prediction model Risk assessment

From 0D to 3D:Hierarchical structured high-performance free-standing silicon anodes based on binder-induced topological network architecture

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Journal of Energy Chemistry 2024年第6期93卷 16-23,I0002页

作者： yihong Tong Ruicheng Cao Guanghui Xu Yifeng Xia Hongyuan Xu Hong Jin Hui Xu Xi’an Jiaotong University Suzhou Academy Suzhou 215123JiangsuChina Nano Science and Technology Institute University of Science and Technology of ChinaSuzhou 215123JiangsuChina

Free-standing silicon anodes with high proportion of active materials have aroused great attention;however,the mechanical stability and electrochemical performance are severely suppressed.Herein,to resolve the appeal issues,a free-standing anode with a"corrugated paper"shape on micro-scale and a topological crosslinking network on the submicron and nano-scale is designed.Essentially,an integrated three-dimensional electrode structure is constructed based on robust carbon nanotubes network with firmly anchored SiNPs via forming interlocking junctions.In which,the hierarchical interlocking structure is achieved by directional induction of the binder,which ensures well integration during cycling so that significantly enhances mechanical stability as well as electronic and ionic conductivity of electrodes.Benefiting from it,this anode exhibits outsta nding performance under harsh service conditions including high Si loading,ultrahigh areal capacity(33.2 mA h cm^(-2)),and high/low temperatures(-15-60℃),which significantly extends its practical prospect.Furthermore,the optimization mechanism of this electrode is explored to verify the crack-healing and structure-integration maintaining along cycling via a unique self-stabilization process.Thus,from both the fundamental and engineering views,this strategy offers a promising path to produce high-performance free-standing electrodes for flexible device applications especially facing volume effect challenges.

关键词： Topological network Self-stabilization Flexibility Free-standing Silicon anode

Fast wireless sensor for anomaly detection based on data stream in an edge-computing-enabled smart greenhouse

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Digital Communications and Networks 2022年第4期8卷 498-507页

作者： yihong yang Sheng Ding Yuwen Liu Shunmei Meng Xiaoxiao Chi Rui Ma Chao Yan School of Computer Science Qufu Normal UniversityRizhao276826China Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyShouguangWeifang262700China Department of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing210000China General Education Department Shandong First Medical University(Shandong Academy Of Medical Sciences)Taian271000China

Edge-computing-enabled smart greenhouses are a representative application of the Internet of Things(IoT)technology,which can monitor the environmental information in real-time and employ the information to contribute to intelligent decision-making.In the process,anomaly detection for wireless sensor data plays an important role.However,the traditional anomaly detection algorithms originally designed for anomaly detection in static data do not properly consider the inherent characteristics of the data stream produced by wireless sensors such as infiniteness,correlations,and concept drift,which may pose a considerable challenge to anomaly detection based on data stream and lead to low detection accuracy and efficiency.First,the data stream is usually generated quickly,which means that the data stream is infinite and enormous.Hence,any traditional off-line anomaly detection algorithm that attempts to store the whole dataset or to scan the dataset multiple times for anomaly detection will run out of memory space.Second,there exist correlations among different data streams,and traditional algorithms hardly consider these correlations.Third,the underlying data generation process or distribution may change over time.Thus,traditional anomaly detection algorithms with no model update will lose their effects.Considering these issues,a novel method(called DLSHiForest)based on Locality-Sensitive Hashing and the time window technique is proposed to solve these problems while achieving accurate and efficient detection.Comprehensive experiments are executed using a real-world agricultural greenhouse dataset to demonstrate the feasibility of our approach.Experimental results show that our proposal is practical for addressing the challenges of traditional anomaly detection while ensuring accuracy and efficiency.

关键词： Anomaly detection Data stream DLSHiForest Smart greenhouse Edge computing

Dispersed Wind Power Planning Method Considering Network Loss Correction with Cold Weather

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Energy Engineering 2024年第4期121卷 1027-1048页

作者： Hanpeng Kou Tianlong Bu Leer Mao yihong Jiao Chunming Liu Hulunbeier Power Supply Company State Grid Inner Mongolia East Power Co.Ltd.Hulunbeier021100China College of Electrical and Electronic Engineering North China Electric Power UniversityBeijing102206China

In order to play a positive role of decentralised wind power on-grid for voltage stability improvement and loss reduction of distribution network,a multi-objective two-stage decentralised wind power planning method is proposed in the paper,which takes into account the network loss correction for the extreme cold region.Firstly,an electro-thermal model is introduced to reflect the effect of temperature on conductor resistance and to correct the results of active network loss calculation;secondly,a two-stage multi-objective two-stage decentralised wind power siting and capacity allocation and reactive voltage optimisation control model is constructed to take account of the network loss correction,and the multi-objective multi-planning model is established in the first stage to consider the whole-life cycle investment cost of WTGs,the system operating cost and the voltage quality of power supply,and the multi-objective planning model is established in the second stage.planning model,and the second stage further develops the reactive voltage control strategy of WTGs on this basis,and obtains the distribution network loss reduction method based on WTG siting and capacity allocation and reactive power control strategy.Finally,the optimal configuration scheme is solved by the manta ray foraging optimisation(MRFO)algorithm,and the loss of each branch line and bus loss of the distribution network before and after the adoption of this loss reduction method is calculated by taking the IEEE33 distribution system as an example,which verifies the practicability and validity of the proposed method,and provides a reference introduction for decision-making for the distributed energy planning of the distribution network.

关键词： Decentralised wind power network loss correction siting and capacity determination reactive voltage control two-stage model manta ray foraging optimisation algorithm

Transcription factor OsSPL10 interacts with OsJAmyb to regulate blast resistance in rice

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The Crop Journal 2024年第1期12卷 301-307页

作者： Zaofa Zhong Lijing Zhong Xiang Zhu Yimin Jiang yihong Zheng Tao Lan Haitao Cui College of Life Science Fujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Key Laboratory of Genetics Breeding and Multiple Utilization of CropsMinistry of EducationCollege of AgricultureFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Fujian Provincial Key Laboratory of Crop Breeding by Design Fujian Agriculture and Forestry UniversityFuzhou 350002FujianChina College of Plant Protection Shandong Agricultural UniversityTai’an 271018ShandongChina

Transcription factors(TFs)play essential roles in transcriptional reprogramming during activation of plant immune responses to pathogens.OsSPL10(SQUAMOSA promoter binding protein-like10)is an important TF regulating trichome development and salt tolerance in rice.Here we report that knockout of OsSPL10 reduces whereas its overexpression enhances rice resistance to blast disease.OsSPL10 positively regulates chitin-induced immune responses including reactive oxygen species(ROS)burst and callose deposition.We show that OsSPL10 physically associates with OsJAmyb,an important TF involved in jasmonic acid(JA)signaling,and positively regulates its protein stability.We then prove that OsJAmyb positively regulates resistance to blast.Our results reveal a molecular module consisting of OsSPL10 and OsJAmyb that positively regulates blast resistance.

关键词： Immunity Jasmonate Oryza sativa OsSPL10 Transcription factor

A layered multifunctional framework based on polyacrylonitrile and MOF derivatives for stable lithium metal anode

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Journal of Energy Chemistry 2024年第6期93卷 282-288,I0007页

作者： Fanfan Liu Peng Zuo Jing Li Pengcheng Shi Yu Shao Linwei Chen yihong Tan Tao Ma Engineering Research Center of High-frequency Soft Magnetic Materials and Ceramic Powder Materials of Anhui Province School of Chemistry and Material EngineeringChaohu UniversityHefei 238024AnhuiChina Frontiers Science Center for Transformative Molecules School of Chemistry and Chemical EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Pharmacy Anhui University of Chinese MedicineHefei 230012AnhuiChina School of Materials and Energy Guangdong University of TechnologyGuangzhou 510006GuangdongChina Jiujiang DeFu Technology Co. Ltd.Jiujiang 332000JiangxiChina

Composite Li metal anodes based on three-dimensional(3D) porous frameworks have been considered as an effective material for achieving stable Li metal batteries with high energy density.However,uneven Li deposition behavior still occurs at the top of 3D frameworks owing to the local accumulation of Li ions.To promote uniform Li deposition without top dendrite growth,herein,a layered multifunctional framework based on oxidation-treated polyacrylonitrile(OPAN) and metal-organic framework(MOF) derivatives was proposed for rationally regulating the distribution of Li ions flux,nucleation sites,and electrical conductivity.Profiting from these merits,the OPAN/carbon nano fiber-MOF(CMOF) composite framework demonstrated a reversible Li plating/stripping behavior for 500 cycles with a stable Coulombic efficiency of around 99.0% at the current density of 2 mA/cm~2.Besides,such a Li composite anode exhibited a superior cycle lifespan of over 1300 h under a low polarized voltage of 18 mV in symmetrical cells.When the Li composite anode was paired with LiFePO_(4)(LFP) cathode,the obtained full cell exhibited a stable cycling over 500 cycles.Moreover,the COMSOL Multiphysics simulation was conducted to reveal the effects on homogeneous Li ions distribution derived from the above-mentioned OPAN/CMOF framework and electrical insulation/conduction design.These electrochemical and simulated results shed light on the difficulties of designing stable and safe Li metal anode via optimizing the 3D frameworks.

关键词： Lithium metal anode Layered multifunctional framework Ions flux redistribution Electrical insulation/conduction structure Uniform Li deposition

Discovery of novel ursolic acid derivatives as effective antimicrobial agents through a ROS-mediated apoptosis mechanism

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Frontiers of Chemical Science and Engineering 2023年第12期17卷 2101-2113页

作者： yihong yang Siyue Ma Ting Li Jingjing He Shitao Liu Hongwu Liu Jiaojiao Zhang Xiang Zhou Liwei Liu Song yang National Key Laboratory of Green Pesticide Key Laboratory of Green Pesticide and Agricultural Bioengineering(Ministry of Education)Center for R&D of Fine Chemicals of Guizhou UniversityGuiyang 550025China

In response to the reduction of food production and economic losses caused by plant bacterial diseases, it is necessary to develop new, efficient, and green pesticides. Natural products are rich and sustainable source for the development of new pesticides due to their low toxicity, easy degradation, and eco-friendliness. In this study, we prepared three series of ursolic acid derivatives and assessed their antibacterial ability. Most target compounds exhibited outstanding antibacterial activities. Among them, the relative optimal EC50 values of Xanthomonas oryzae pv. oryzae and Xanthomonas axonopodis pv. citri were 2.23 (A17) and 1.39 (A16) μg·mL^(-1), respectively. The antimicrobial mechanism showed that compound A17 induced an excessive accumulation and production of reactive oxygen species in bacteria and damaged the cell membrane integrity to kill bacteria. More interestingly, the addition of low concentrations of exogenous hydrogen peroxide enhanced the antibacterial efficacy of compound A17 against Xanthomonas oryzae pv. oryzae. These entertaining results suggested that compound A17 induced an apparent apoptotic behavior in the tested bacteria. Overall, we developed the promising antimicrobial agents that destroyed the redox system of phytopathogenic bacteria, further demonstrating the unprecedented potential of ursolic acid for agricultural applications.

关键词： ursolic acid antibacterial activities reactive oxygen species apoptosis

Cloud Microphysical Characteristics of Typhoon Meranti(2016) during Its Rapid Intensification: Model Validation and SST Sensitivity Experiments

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Journal of Meteorological Research 2024年第3期38卷 542-557页

作者： Rui WANG yihong DUAN Jianing FENG Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences Fudan University State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological Administration

Cloud microphysics plays an important role in determining the intensity and precipitation of tropical cyclones(TCs). In this study, a high-resolution numerical simulation by WRF(version 4.2) of Typhoon Meranti(2016) during its rapid intensification(RI) period was conducted and validated by multi-source observations including CloudSat and Global Precipitation Mission satellite data. The snow and ice particles content were found to increase most rapidly compared with other hydrometeors during the RI process. Not all hydrometeors continued to increase. The graupel content only increased in the initial RI stage, and then decreased afterwards due to precipitation during the RI process. In addition, sea surface temperature(SST) sensitivity experiments showed that, although the intensity of the TC increased with a higher SST, not all hydrometeors increased. The graupel content continued to increase with the increase in SST, mainly due to the accumulation of more lower-temperature supercooled water vapor at the corresponding height. The content of snow decreased with the increase in SST because stronger vertical motion at the corresponding height affected the aggregation of ice crystals.

关键词： tropical cyclone rapid intensification cloud microphysical characteristics sea surface temperature (SST)