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Cost-Sensitive Dual-Stream Residual Networks for Imbalanced Classification

Computers, materials & Continua 2024年第9期80卷 4243-4261页

作者： Congcong ma Jiaqi Mi wanlin Gao sha Tao College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China Key Laboratory of Agricultural Informatization Standardization Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing100083China

Imbalanced data classification is the task of classifying datasets where there is a significant disparity in the number of samples between different *** task is prevalent in practical scenarios such as industrial fault diagnosis,network intrusion detection,cancer detection,*** imbalanced classification tasks,the focus is typically on achieving high recognition accuracy for the minority ***,due to the challenges presented by imbalanced multi-class datasets,such as the scarcity of samples in minority classes and complex inter-class relationships with overlapping boundaries,existing methods often do not perform well in multi-class imbalanced data classification tasks,particularly in terms of recognizing minority classes with high ***,this paper proposes a multi-class imbalanced data classification method called CSDSResNet,which is based on a cost-sensitive dualstream residual ***,to address the issue of limited samples in the minority class within imbalanced datasets,a dual-stream residual network backbone structure is designed to enhance the model’s feature extraction ***,considering the complexities arising fromimbalanced inter-class sample quantities and imbalanced inter-class overlapping boundaries in multi-class imbalanced datasets,a unique cost-sensitive loss function is *** loss function places more emphasis on the minority class and the challenging classes with high interclass similarity,thereby improving the model’s classification ***,the effectiveness and generalization of the proposed method,CSDSResNet,are evaluated on two datasets:‘Drybeans’and‘Electric Motor Defects’.The experimental results demonstrate that CSDSResNet achieves the best performance on imbalanced datasets,with macro_F1-score values improving by 2.9%and 1.9%on the two datasets compared to current state-of-the-art classification methods,***,it achieves the highest precision in single-class r

关键词： Deep learning imbalanced data classification fault diagnosis cost-sensitivity

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Armoring lithium metal anode with soft±rigid gradient interphase toward high-capacity and long-life all-solid-state battery

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Green Energy & Environment 2024年第8期9卷 1279-1289页

作者： Rui Zhang biao Chen Yuhan ma Yue Li Junwei sha Liying ma Chunsheng Shi Naiqin Zhao School of materials Science and Engineering and Tianjin Key Laboratory of Composite and Functional materials Tianjin University Joint School of National University of Singapore and Tianjin University International Campus of Tianjin University Department of Chemical and biomolecular Engineering National University of Singapore Collaborative Innovation Centre of Chemical Science and Engineering

Solid polymer electrolytes （SPEs） are highly promising for realizing high-capacity,low-cost,and safe Li metal ***,the Li dendritic growth and side reactions between Li and SPEs also plague these ***,a fluorinated lithium salt coating （FC） with organicinorganic gradient and soft-rigid feature is introduced on Li surface as an artificial protective layer by the in-situ reaction between Li metal and fluorinated carboxylic *** FC layer can improve the interface stability and wettability between Li and SPEs,assist the transport of Li ions,and guide Li nucleation,contributing to a dendrite-free Li deposition and long-lifespan Li metal *** symmetric cell with FC-Li anodes exhibits a high areal capacity of 1 mah cm-2at 0.5 ma cm-2,and an ultra-long lifespan of 2000 h at a current density of 0.1 m A ***,the full cell paired with the LiFePO4cathode exhibits improved cycling stability,remaining 83.7%capacity after 500 cycles at 1 *** matching with the S cathode,the FC layer can prevent the shuttle effect,contributing to stable and high-capacity Li-S *** work provided a promising way for the construction of stable all-solid-state lithium metal batteries with prolonged lifespan.

关键词： All-solid-state battery Solid polymer electrolyte Li metal anode Li nucleation Interface stability

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Pyramid Separable Channel Attention Network for Single Image Super-Resolution

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Computers, materials & Continua 2024年第9期80卷 4687-4701页

作者： Congcong ma Jiaqi Mi wanlin Gao sha Tao College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China College of Artificial Intelligence Nankai UniversityTianjin300350China Key Laboratory of Agricultural Informatization Standardization Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing100083China

Single Image Super-Resolution(SISR)technology aims to reconstruct a clear,high-resolution image with more information from an input low-resolution image that is blurry and contains less *** technology has significant research value and is widely used in fields such as medical imaging,satellite image processing,and security *** significant progress in existing research,challenges remain in reconstructing clear and complex texture details,with issues such as edge blurring and artifacts still *** visual perception effect still needs further ***,this study proposes a Pyramid Separable Channel Attention Network(PSCAN)for the SISR *** designs a convolutional backbone network composed of Pyramid Separable Channel Attention blocks to effectively extract and fuse multi-scale *** expands the model’s receptive field,reduces resolution loss,and enhances the model’s ability to reconstruct texture ***,an innovative artifact loss function is designed to better distinguish between artifacts and real edge details,reducing artifacts in the reconstructed *** conducted comprehensive ablation and comparative experiments on the Arabidopsis root image dataset and several public *** experimental results show that the proposed PSCAN method achieves the best-known performance in both subjective visual effects and objective evaluation metrics,with improvements of 0.84 in Peak Signal-to-Noise Ratio(PSNR)and 0.017 in Structural Similarity Index(SSIM).This demonstrates that the method can effectively preserve high-frequency texture details,reduce artifacts,and have good generalization performance.

关键词： Deep learning single image super-resolution artifacts texture details

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Knowledge Distillation via Hierarchical matching for Small Object Detection

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Journal of Computer Science & Technology 2024年第4期39卷 798-810页

作者： Yong-Chi ma Xiao ma Tian-Ran Hao Li-sha Cui shao-Hui Jin Pei Lyu School of Computer Science and Artificial Intelligence Zhengzhou UniversityZhengzhou 450000China

Knowledge distillation is often used for model compression and has achieved a great breakthrough in image classification,but there still remains scope for improvement in object detection,especially for knowledge extraction of small *** main problem is the features of small objects are often polluted by background noise and not prominent due to down-sampling of convolutional neural network(CNN),resulting in the insufficient refinement of small object features during *** this paper,we propose Hierarchical matching Knowledge Distillation Network(HMKD)that operates on the pyramid level P2 to pyramid level P4 of the feature pyramid network(FPN),aiming to intervene on small object features before *** employ an encoder-decoder network to encapsulate low-resolution,highly semantic information,akin to eliciting insights from profound strata within a teacher network,and then match the encapsulated information with high-resolution feature values of small objects from shallow layers as the *** this period,we use an attention mechanism to measure the relevance of the inquiry to the feature *** in the process of decoding,knowledge is distilled to the *** addition,we introduce a supplementary distillation module to mitigate the effects of background *** show that our method achieves excellent improvements for both one-stage and twostage object ***,applying the proposed method on Faster R-CNN achieves 41.7%maP on COCO2017(ResNet50 as the backbone),which is 3.8%higher than that of the baseline.

关键词： knowledge distillation object detection small object detection machine learning

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Establishment of a three-dimensional particle library for graded crushed stone based on a new aggregate morphology characterization method

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第1期11卷 117-130页

作者： Haitao Ge Aimin sha Zhenqiang Han School of Future Transportation Chang'an UniversityXi'an 710064China University of Strasbourg INSA StrasbourgCNRSICubeUMR 7357Strasbourg F-67000France School of Highway Chang'an UniversityXi'an 710064China Key Laboratory for Special Area Highway Engineering of Ministry of Education Chang'an UniversityXi'an 710064China

The morphology of graded crushed stone(GCS)particles has an essential influence on the performance of aggregate *** impact of particle shape is a comprehensive effect that cannot be considered separately,leading to difficulties in establishing the relationship between the mixture properties and the aggregate morphology by using laboratory *** discrete element method(DEM)is an effective way widely adopted to reconstruct the morphology of particles and simulate performance tests of granular ***,selecting limited particles characterizing a real particle-assembly for simulation is still a challenge in current research due to the inherent rich variability of particle *** this study,based on the acquisition of three-dimensional(3D)aggregate shapes by using laser scanning,ellipsoid index(EDI)translating the particle shape as a function of surface area,volume,and contour length is proposed to comprehensively evaluate aggregate ***,a particle library capable of characterizing aggregate morphology distribution is established based on the statistics of the corresponding morphological characteristics of particle *** model reliability is validated by carrying out a series of experimental and numerical penetration tests with nine different *** established particle library can be used to model aggregate mixtures and the proposed simulation framework is promising for optimizing the mixture gradation design numerically.

关键词： Particle library Discrete element method 3D laser scanning Coarse aggregate Morphology characterization Gradation design

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Mesenchymal stem cells and their derived exosomes for the treatment of COVID-19

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World Journal of Stem Cells 2024年第4期16卷 353-374页

作者： Xiang-Yi Hou La-Mu Danzeng Yi-Lin Wu Qian-Hui ma Zheng Yu Mei-Ying Li Li-sha Li The Key Laboratory of Pathobiology Ministry of EducationCollege of Basic Medical SciencesJilin UniversityChangchun 130021Jilin ProvinceChina Department of Pharmacy Jilin UniversityChangchun 130021Jilin ProvinceChina The First Hospital of Jilin University Jilin UniversityChangchun 130021Jilin ProvinceChina

Coronavirus disease 2019(COVID-19)is an acute respiratory infection caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).SARS-CoV-2 infection typically presents with fever and respiratory symptoms,which can progress to severe respiratory distress syndrome and multiple organ *** severe cases,these complications may even lead to *** of the causes of COVID-19 deaths is the cytokine storm caused by an overactive immune ***,suppressing the overactive immune response may be an effective strategy for treating *** stem cells(MSCs)and their derived exosomes(MSCs-Exo)have potent homing abilities,immunomodulatory functions,regenerative repair,and antifibrotic effects,promising an effective tool in treating *** this paper,we review the main mechanisms and potential roles of MSCs and MSCs-Exo in treating *** also summarize relevant recent clinical trials,including the source of cells,the dosage and the efficacy,and the clinical value and problems in this field,providing more theoretical references for the clinical use of MSCs and MSCs-Exo in the treatment of COVID-19.

关键词： COVID-19 Cytokine storm Immunomodulation Mesenchymal stem cell Mesenchymal stem cell-derived exosomes

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Semantic Consistency and Correctness Verification of Digital Traffic Rules

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Engineering 2024年第2期33卷 47-62页

作者： Lei wan Changjun wang Daxin Luo Hang Liu sha ma Weichao Hu Policy Standardand Patent DepartmentIntelligent Automotive Solution BUHuawei Technologies Co.Ltd.Beijing 100094China Research Institute for Road Safety of the Ministry of Public Security Beijing 100062China

The consensus of the automotive industry and traffic management authorities is that autonomous vehicles must follow the same traffic laws as human *** formal or digital methods,natural language traffic rules can be translated into machine language and used by autonomous *** this paper,a translation flow is *** the translation,a deeper examination is required,because the semantics of natural languages are rich and complex,and frequently contain hidden *** issue of how to ensure that digital rules are accurate and consistent with the original intent of the traffic rules they represent is both significant and *** response,we propose a method of formal verification that combines equivalence verification with model *** and reassuring digital traffic rules can be obtained by utilizing the proposed traffic rule digitization flow and verification *** addition,we offer a number of simulation applications that employ digital traffic rules to assess vehicle *** experimental findings indicate that our digital rules utilizing metric temporal logic(MTL)can be easily incorporated into simulation platforms and autonomous driving systems(ADS).

关键词： Autonomous driving Traffic rules Digitization Formalization Verification

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Ultrasonic scalpel based on fusiform phononic crystal structure

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Chinese Physics b 2024年第10期33卷 302-310页

作者： sha wang Junjie shan Shuyu Lin Ocean College Jiangsu University of Science and TechnologyZhenjiang 212100China shaanxi Key Laboratory of Ultrasonics School of Physics and Information TechnologyShaanxi Normal UniversityXi’an 710119China National Laboratory of Solid State Microstructures School of PhysicsCollaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China

In response to the ultrasonic scalpels with the vibrational modal coupling which leads to a decrease in efficiency,an ultrasonic scalpel based on fusiform phononic crystals(PnCs)is *** accurate theoretical model is constructed,which is mainly composed of electromechanical equivalent circuit models to analyze the frequency response function and the frequency response curves of the *** band gaps exist in the fusiform PnCs owing to the periodic constraint,which can suppress the corresponding vibrational *** vibration characteristics(vibration mode,frequency,and displacement distribution)of the ultrasonic scalpel are analyzed,and the validity of the electromechanical equivalent circuit method is *** results indicate that other vibration modes near the working frequency can be *** addition,blades based on fusiform PnCs have a function akin to that of the horn,which enables displacement amplification.

关键词： phononic crystals ultrasonic scalpel bandgap vibration characteristics

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Neuroprotective Effect and Mechanism of Tanreqing Injection on Ischemic Stroke:Insights from Network Pharmacology and in vivo Experiments

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Chinese Journal of Integrative Medicine 2024年第8期30卷 713-720页

作者： LI Zhong-hao PU Xiao-qi LI sha-sha DONG Xiao-ke ZHANG Guo-qiang waNG Yu LIU Jin-min Department of Emergency China-Japan Friendship HospitalBeijing100029China Department of Neurology Beijing University of Chinese Medicine Dongfang HospitalBeijing100078China Department of Radiology China-Japan Friendship HospitalBeijing100029China Graduate School Beijing University of Chinese MedicineBeijing100029China

Objective To explore the neuroprotective effects and mechanism of Tanreqing Injection(TRQ)on treating ischemic stroke based on network pharmacology and in vivo experimental *** The chemical compounds of TRQ were retrieved based on published data,with targets retrieved from PubChem,Therapeutic Target Database and *** visualization and analysis were performed using Cytoscape,with protein-protein interaction networks derived from the STRING *** analysis was performed using Kyoto Encyclopedia of Genes Genomes pathway and Gene Ontology *** in vivo experiments,the middle cerebral artery occlusion(MCAO)model was *** volume was determined by 2,3,5-triphenyltetrazolium hydrochloride staining and protein expressions were analyzed by Western *** docking was performed to predict ligand-receptor *** We screened 81 chemical compounds in TRQ and retrieved their therapeutic *** the targets,116 were therapeutic targets for *** enrichment analysis showed that the apelin signaling pathway was a key pathway for ischemic ***,in in vivo experiment we found that administering with intraperitoneal injection of 2.5 mL/kg TRQ every 6 h could significantly reduce the infarct volume of MCAO rats(Pb(AKT)pathway were increased by TRQ(Pbind to *** The neuroprotective effect of TRQ may be related to the APJ/PI3K/AKT signaling ***,further studies are needed to confirm the findings.

关键词： Tanreqing Injection Chinese medicine ischemic stroke middle cerebral artery occlusion quantitative estimate of drug-likeness

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A Web-like Three-dimensional binder for Silicon Anode in Lithium-ion batteries

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Energy & Environmental materials 2024年第1期7卷 21-27页

作者： Liyuan Li Tao Li Yifan sha baozeng Ren Lan Zhang Suojiang Zhang CAS Key Laboratory of Green Process and Engineering Beijing Key Laboratory of Ionic Liquids Clean ProcessState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China Langfang Green Industrial Technology Center Langfang 065001China Henan Key Laboratory of Energy Storage materials and Processes Zhengzhou Institute of Emerging Industrial TechnologyZhengzhou 450003China

Si anode is of paramount importance for advanced energy-dense lithium-ion batteries(LIbs).However,the large volume change as well as stress generates during its lithiation-delithiation process poses a great challenge to the long-term cycling and hindering its *** this work,a composite binder is prepared with a soft component,guar gum(GG),and a rigid linear polymer,anionic polyacrylamide(APAM).Rich hydroxy,carboxyl,and amide groups on the polymer chains not only enable intermolecular crosslinking to form a web-like binder,A2G1,but also realize strong chemical binding as well as physical encapsulating to Si *** resultant electrode shows limited thickness change of merely 9%on lithiation and almost recovers its original thickness on *** demonstrates high reversible capacity of 2104.3 mah g^(-1)after 100 cycles at a current density of 1800 ma g^(-1),and in constant capacity(1000 mah g^(-1))test,it also shows a long life of 392 ***,this soft-hard combining web-like binder illustrates its great potential in the future applications.

关键词： anionic polyacrylamide lithium-ion batteries Si anode thickness change web-like binder

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