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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1203-1216页

作者： Li, Changping Wang, Bingshu Zheng, Jiangbin Zhang, Yongjun Chen, C.L. Philip Northwestern Polytechnical University School of Software Xi’an710129 China Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen Key Laboratory of Media Security Shenzhen518060 China Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China South China University of Technology School of Computer Science and Engineering Guangzhou510641 China

Frequent road incidents cause significant physical harm and economic losses globally. The key to ensuring road safety lies in accurately perceiving surrounding road incidents. However, the highly dynamic nature of traffic introduces significant challenges, particularly in detecting sudden and temporary incidents. In this article, we propose a novel detection framework, multihead attention ResNet with dynamic bottleneck (DB_RESNET_MHA), to identify physical unsigned road incidents. Our approach introduces three key innovations. First, we develop a tailored data augmentation strategy to create images that closely mimic the complex variations found in real-world road environments. Second, we enhance model expressiveness by employing attention mechanisms to nonlinearly integrate convolutional kernels within the residual network. Furthermore, we refine the prediction head by applying spatially distinct attention weights, enabling the model to capture intricate correlations between different features more effectively. To demonstrate the effectiveness of our method, we create a dataset for unsigned road incidents (UnsignRI), comprising a total of 16 323 images that capture 12 distinct types of incidents. It stands out as the most comprehensive dataset in the field, encompassing a wide range of geographical features and incident categories. Experimental results show that DB_RESNET_MHA achieves an average accuracy of 96.2% and a f1-score of 0.955 across various categories of unsigned incidents, surpassing other models. © 2020 IEEE.

关键词： Highway accidents

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The biomimetic design provides efficient self-healing of ultrahightough and damage-warning bio-based elastomer for protective clothing of metals

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Nano Research 2023年第7期16卷 10587-10596页

作者： Hao Wu Zilong Zhu Ningjie Gao Lin Ma Jiwen Li Fuchun Liu Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Institute of Corrosion Science and Technology Guangzhou 510530China

Facing the ubiquitous corrosion threat,the great significance of developing high-performance protective materials with the dual function of self-healing defects and self-warning damage is extremely ***,inspired by the biological skin and pearls,we proposed that the biological polyurethanes(PU)embedded with multiple dynamic bonds(reversible hydrogen bonds and aromatic disulfide bonds)were combined with polydopamine(PDA)/1,10-phenanthroline(Phen)/graphene oxide(GO)(PPG)nanosheets(PDA encapsulated GO with Phen)to obtain a versatile nacre structure polymer with the interface hydrogen bond between PPG and PU *** biomimetic polymer not only guarantees ultrahigh toughness(116.1 MJ·m^(-3))and abnormal elongation(2320%)but shows satisfactory repair performance(81%under 25℃ for 3 h),and the coating can accelerate damage recovery(87%)under near-infrared light(NIR)irradiation for 1 h due to the photothermal properties of *** warning of damages in the coating can be enabled through the Phen chelation Fe^(2+)ions that bring in the corrosion reaction to produce a conspicuous red color,thereby achieving the active warning function of the bionic coating on defects for the first *** addition,the electrochemical tests exhibit that the repair performance and protection effect of the biomimetic coating in 3.5 wt.%NaCl solution are also trustworthy,and this highly reliable bio-based bionic coating brings a revolutionary program to inaugurate multifunctional and high-performance intelligent materials under harsh environments.

关键词： multiple dynamic bonds biomimetic polymer ultrahigh performance self-repairing self-warning

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The impact of toroidal mode coupling on high-density discharges in J-TEXT

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Plasma science and technology 2024年第12期26卷 1-8页

作者： Peng DENG Wenzhe MAO Zhipeng CHEN Yinan ZHOU Peng SHI Zhoujun YANG Li GAO Tao LAN Jinlin XIE Hong LI Zian WEI Adi LIU Chu ZHOU Weixing DING Wandong LIU Ge ZHUANG School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026People’s Republic of China State Key Laboratory of Advanced Electromagnetic Technology International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma PhysicsSchool of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074People’s Republic of China Institute of Plasma Physics Chinese Academy of SciencesHefei 230031People’s Republic of China

Density limit has long been a widely studied issue influencing the operating range of *** rapid growth of the m/n=2/1(where m and n are poloidal and toroidal mode numbers,respectively)tearing mode is generally regarded as a primary precursor to the density limit *** this experiment,the coupling of the m/n=1/1 mode and the m/n=2/1 mode in highdensity plasma was *** a sawtooth cycle,the frequencies of the two modes gradually converge until they become *** that,toroidal coupling occurs between the 1/1 and 2/1 modes,resulting in a mutually fixed phase *** the occurrence of toroidal coupling,the 2/1 mode is *** to the disruption,the cessation of the 1/1 and 2/1 mode coupling,along with the rapid growth in the amplitude of the 2/1 mode,can be ***,under the same parameters,comparing discharges with or without the 1/1 mode,it is found that the presence of the 1/1 mode leads to higher plasma density and temperature parameters.

关键词： toroidal coupling tearing mode density limit sawtooth

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Prediction of heat transfer coefficients for steam condensation in the presence of air based on ANN method

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International Journal of Advanced nuclear Reactor Design and technology 2023年第2期5卷 77-85页

作者： Cao, Haoran Cao, Boyang Xia, Congyi Meng, Zhaoming Bian, Haozhi Ding, Ming Heilongjiang Provincial Key Laboratory of Nuclear Power System & Equipment Harbin Engineering University Harbin150001 China School of Nuclear Science and Technology Harbin Engineering University China

Artificial neural network (ANN) methods have been gradually used in the field of nuclear reactor thermal-hydraulics as new methods to improve accuracy or fast prediction. This study establishes a back propagation (BP) neural network model based on the ANN methods to predict the steam condensation heat transfer coefficient outside a heat tube in the presence of air. The main factors affecting condensing heat transfer, such as pressure, air mass fraction, subcooling, and tube diameter, are used as input quantities, and the condensation heat transfer coefficient is used as output quantity. A complete set of neural networks for predicting the heat transfer coefficient for steam condensation in the presence of air is established based on the relevant experimental data collected over the world. The results predicted by the ANN model are compared with the experimental data and those of traditional correlation methods. The data from 2276 experiments are distributed within a ±10% error band at the 95% confidence level. This means that the prediction accuracy of the ANN model is higher than that of the traditional experimental correlation. Therefore, the neural network model developed in this study can be used for the prediction of the heat transfer coefficient for steam condensation in the presence of air. © 2023

关键词： Backpropagation

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Ionization and recombination times of high-order harmonic generation with single-photon ionization

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Optics Express 2025年第1期33卷 1497-1508页

作者： Liu, Jin Song, Siqi Han, Yongkang Yue, Shengjun Du, Hongchuan School of Nuclear Science and Technology Lanzhou University Lanzhou730000 China Key Laboratory of Special Function Materials and Structure Design Ministry of Education Lanzhou University Lanzhou730000 China

We theoretically study high-order harmonic generation (HHG) involving an extreme ultraviolet (XUV) pulse and an intense infrared driving field, where the electron is ionized by absorbing a single XUV photon. Using a developed classical-trajectory model that includes Coulomb effects and the improved initial conditions, it is demonstrated that the resulting harmonic emission times match well with those obtained by applying the Gabor transform to data from numerical solutions of time-dependent Schrödinger equations for helium and hydrogen atoms. This confirms a classical HHG scheme under single-photon ionization: The electron, ionized by absorbing one XUV photon, oscillates in the infrared field and may recollide with the parent ion, emitting high-frequency radiation. Therefore, the classical model can determine the ionization and recombination times of the electron in single-photon-ionization HHG. Our work shows great promise for resolving electron dynamics using high-order harmonic spectroscopy under single-photon ionization. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Schrodinger equation

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Conjugated polyaniline as“conveyor”in tungstate boosting cation storage for high-performance aqueous batteries

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Green Energy & Environment 2025年第4期10卷 766-779页

作者： Yanyan Liu Zirui Shao Tianming Lv Zilong Zhang Zhenhua Zhou Tao Hu Changgong Meng Yifu Zhang Hubei Key Laboratory of Radiation Chemistry and Functional Materials School of Nuclear Technology and Chemistry&BiologyHubei University of Science and TechnologyXianning437100China School of Chemistry Dalian University of TechnologyDalian116024China College of Environmental and Chemical Engineering Dalian UniversityDalian116622China

Aqueous ion storage systems have motivated great interest by virtue of low reduction,high eco-sustainability and *** various cathode candidates,transition metal compounds are featured with easy dissolution in aqueous solutions and inferior conductivity,which severely hinder their ***,advantages are taken of the“conveyor effect”of conjugated polyaniline to prepare an oxygen defective tungstate-linked polyaniline(O_(d)-WOP)material with chrysanthemum-like *** virtue of the high electronic conductivity derived from conductive conjugated polyaniline skeleton,unbalanced charge distribution triggered by the defective structure,and reversibly rapid ion(de)intercalation benefited from the open framework with porous chrysanthemum-like microstructure,it delivers outstanding rate capability with a maximum specific capacity of 162.2 mAh g^(-1)and great cycle stability for storing NH_(4)^(+).Additionally,it also adopts a high reversible capacity of 140.4 mAh g^(-1)and outstanding cycling performance to store Ca^(2+).Consequently,the assembled O_(d)-WOP//PTCDI flexible aqueous ammonium ion batteries and calcium ion batteries exhibit superior capacities,energy densities and flexibilities.O_(d)-WOP achieves the NH_(4)^(+) and Ca^(2+)storage capability by interacting with them through hydrogen and ionic bonds,*** deep insight from this work sheds light upon a novel strategy to excavate greater potential of transition metal compounds for aqueous ion batteries.

关键词： Tungstate-linked polyaniline Polyaniline skeleton as“charge conveyor” Oxygen defect Aqueous ammonium ion battery Aqueous calcium ion battery

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Iterative Android automated testing

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Frontiers of Computer science 2023年第5期17卷 15-26页

作者： Yi ZHONG Mengyu SHI Youran XU Chunrong FANG Zhenyu CHEN State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210093China School of Big Data and Computer Science Chongqing College of Mobile CommunicationChongqing 400065China

With the benefits of reducing time and workforce,automated testing has been widely used for the quality assurance of mobile applications(APPs).Compared with automated testing,manual testing can achieve higher coverage in complex interactive *** the effectiveness of manual testing is highly dependent on the user operation process(UOP)of experienced *** on the UOP,we propose an iterative Android automated testing(IAAT)method that automatically records,extracts,and integrates UOPs to guide the test logic of the tool across the complex Activity *** feedback test results can train the UOPs to achieve higher coverage in each *** extracted 50 UOPs and conducted experiments on 10 popular mobile APPs to demonstrate IAAT’s effectiveness compared with Monkey and the initial automated *** experimental results show a noticeable improvement in the IAAT compared with the test logic without human *** the 60 minutes test time,the average code coverage is improved by 13.98%to 37.83%,higher than the 27.48%of Monkey under the same conditions.

关键词： quality assurance automated testing UOP test coverage

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Ground-state mass of ^(22)Al and test of state-of-the-art ab initio calculations

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Chinese Physics C 2024年第3期48卷 72-78页

作者：孙铭泽于越王新鹏王猛李健国张玉虎 K.Blaum 陈祖毅陈瑞九邓涵宇付超义葛文文黄文嘉焦红扬李红蕙李宏福罗胤芳廖挺 YuALitvinov 司敏帅鹏史金阳王茜邢元明徐星徐瑚珊许甫荣袁琪 T.Yamaguchi 颜鑫亮杨建成原有进周小红周旭张敏曾奇 CAS Key Laboratory of High Precision Nuclear Spectroscopy Institute of Modern PhysicsChinese Academy of SciencesLanzhou 730000China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China Max-Planck-Institut für Kernphysik Saupfercheckweg 169117 HeidelbergGermany GSI Helmholtzzentrum für Schwerionenforschung Planckstraße 164291 DarmstadtGermany Advanced Energy Science and Technology Guangdong Laboratory Huizhou516007China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Department of Physics Saitama UniversitySaitama 338-8570Japan School of Nuclear Science and Engineering East China University of TechnologyNanchang 330013China

The ground-state mass excess of the T_(z)=−2 drip-line nucleus ^(22)Al is measured for the first time as 18103(10)keV using the newly-developed Bρ-defined isochronous mass spectrometry method at the cooler storage ring in *** new mass excess value allowed us to determine the excitation energies of the two low-lying 1+states in ^(22)Al with significantly reduced uncertainties of 51 *** compared to the analogue states in its mirror nucleus ^(22)F,the mirror energy differences of the two 1^(+)states in the ^(22)Al-^(22)F mirror pair are determined to be−625(51)keV and−330(51)*** excitation energies and mirror energy differences are used to test the state-of-the-art ab initio valence-space in-medium similarity renormalization group calculations with four sets of interactions derived from the chiral effective field *** mechanism leading to the large mirror energy differences is investigated and attributed to the occupation of theπs_(1/2) orbital.

关键词： nuclear mass Bρ-defined IMS mirror energy difference ab initio VS-IMSRG calculations chiral interactions

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Effect of cross rolling on the microstructure and mechanical performance of a dual-phase structured Mg-8Li-6Zn-1Y(in wt.%)alloy

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Journal of Materials science & technology 2024年第9期176卷 132-144页

作者： Dongliang Wang Daokui Xu Baojie Wang Changjian Yan Shuo Wang Xiangbo Xu Lan Zhang Cuilan Lu Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Binzhou Institute of Technology Binzhou 256606China Shandong Key Laboratory of Advanced Aluminium Materials and Technology Binzhou 256606China School of Environmental and Chemical Engineering Shenyang Ligong UniversityShenyang 110159China Institute of Corrosion Science and Technology Guangzhou 510070China Key Lab of Electromagnetic Processing of Materials Ministry of EducationNortheastern UniversityShenyang 110819China

The microstructure and mechanical performance of the unidirectionally and cross-directionally rolled Mg-8Li-6Zn-1Y(in wt.%)sheets have been investigated and *** reveals that after the unidirectional rolling(UR),the broken I-phase particles are aggregated at theα-Mg/β-Li phase ***,the cross-rolling(CR)process can not only severely break the bulk I-phase,but also cause the obviously uniform distribution of I-phase particles in the matrix ***,the average grain size of the CR samples is 3.61μm and about 50%that of the UR *** maximum texture intensities ofα-Mg andβ-Li phases in the CR samples are slightly stronger than those in the UR *** results demonstrate that the CR process can effectively enhance the tensile properties and remarkably reduce the mechanical anisotropy of the *** the UR samples,the yield strength,ultimate tensile strength,and elongation ratio along the rolling direction(RD)are 164 MPa,198 MPa,and 16.4%,whereas those along the transverse direction(TD)are 157 MPa,185 MPa,and 22.0%,*** the CR samples,their mechanical properties are basically the same and the mechanical anisotropy is almost *** yield strength,ultimate tensile strength,and elongation ratio along the cross-rolling direction 1(CRD1)and 2(CRD2)are respectively measured to be 181 MPa and 182 MPa,220 MPa and 218 MPa,20.6%and 20.7%.Failure analysis indicates that for the UR samples being tensile tested along the RD and TD,microcracks are preferentially initiated in the region of aggregated I-phase *** the CR samples being tensile tested along both two cross-rolling directions,the initiation of micro-cracks mainly occurs at the I-phase/matrix phase interfaces and in the interior of matrix phases.

关键词： Magnesium-lithium alloy Cross-rolling I-phase Microstructure Mechanical performance

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DOS: DIVERSE OUTLIER SAMPLING FOR OUT-OF-DISTRIBUTION DETECTION 12

DOS: DIVERSE OUTLIER SAMPLING FOR OUT-OF-DISTRIBUTION DETECT...

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12th International Conference on Learning Representations, ICLR 2024

作者： Jiang, Wenyu Cheng, Hao Chen, Mingcai Wang, Chongjun Wei, Hongxin Department of Statistics and Data Science Southern University of Science and Technology China State Key Laboratory for Novel Software Technology Nanjing University China

Modern neural networks are known to give overconfident predictions for out-of-distribution inputs when deployed in the open world. It is common practice to leverage a surrogate outlier dataset to regularize the model during training, and recent studies emphasize the role of uncertainty in designing the sampling strategy for outlier datasets. However, the OOD samples selected solely based on predictive uncertainty can be biased towards certain types, which may fail to capture the full outlier distribution. In this work, we empirically show that diversity is critical in sampling outliers for OOD detection performance. Motivated by the observation, we propose a straightforward and novel sampling strategy named DOS (Diverse Outlier Sampling) to select diverse and informative outliers. Specifically, we cluster the normalized features at each iteration, and the most informative outlier from each cluster is selected for model training with absent category loss. With DOS, the sampled outliers efficiently shape a globally compact decision boundary between ID and OOD data. Extensive experiments demonstrate the superiority of DOS, reducing the average FPR95 by up to 25.79% on CIFAR-100 with TI-300K. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Statistics

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