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Search for electron-antineutrinos associated with gravitational-wave events GW150914,GW151012,GW151226,GW170104,GW170608,GW170814,and GW170817 at Daya Bay

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Chinese Physics C 2021年第5期45卷 190-201页

作者： f.P.An A.B.Balantekin H.R.Band M.Bishai S.Blyth G.f.Cao J.Cao J.f.Chang y.Chang H.S.Chen S.M.Chen y.Chen y.X.Chen J.Cheng Z.K.Cheng J.J.Cherwinka M.C.Chu J.P.Cummings O.Dalager f.S.Deng y.y.Ding M.V.Diwan T.Dohnal J.Dove M.Dvorak D.A.Dwyer J.P.Gallo M.Gonchar G.H.Gong H.Gong W.Q.Gu J.y.Guo L.Guo X.H.Guo y.H.Guo Z.Guo R.W.Hackenburg S.Hans M.He K.M.Heeger y.K.Heng A.Higuera y.K.Hor y.B.Hsiung B.Z.Hu J.R.Hu T.Hu Z.J.Hu H.X.Huang X.T.Huang y.B.Huang P.Huber D.E.Jaffe K.L.Jen X.L.Ji X.P.Ji R.A.Johnson D.Jones L.Kang S.H.Kettell S.Kohn M.Kramer T.J.Langford J.Lee J.H.C.Lee R.T.Lei R.Leitner J.K.C.Leung f.Li J.J.Li Q.J.Li S.Li S.C.Li W.D.Li X.N.Li X.Q.Li y.f.Li Z.B.Li H.Liang C.J.Lin G.L.Lin S.Lin J.J.Ling J.M.Link L.Littenberg B.R.Littlejohn J.C.Liu J.L.Liu C.Lu H.Q.Lu J.S.Lu K.B.Luk X.B.Ma X.y.Ma y.Q.Ma C.Marshall D.A.Martinez Caicedo K.T.MeDonald R.D.McKeown y.Meng J.Napolitano D.Naumov E.Naumova J.P.Ochoa-Ricoux A.OIshevskiy H.-R.Pan J.Park S.Patton J.C.Peng C.S.J.Pun f.Z.Qi M.Qi X.Qian N.Raper J.Ren C.Morales Reveco R.Rosero B.Roskovec X.C.Ruan H.Steiner J.L.Sun T.Tmej K.Treskov W.-H.Tse C.E.Tull B.Viren V.Vorobel C.H.Wang J.Wang M.Wang N.y.Wang R.G.Wang W.Wang W.Wang X.Wang y.Wang y.f.Wang Z.Wang Z.Wang Z.M.Wang H.y.Wei L.H.Wei L.J.Wen K.Whisnant C.G.White H.L.H.Wong E.Worcester D.R.Wu f.L.Wu Q.Wu W.J.Wu D.M.Xia Z.Q.Xie Z.Z.Xing J.L.Xu T.Xu T.Xue C.G.yang L.yang y.Z.yang H.f.yao M.ye M.yeh B.L.young H.Z.yu Z.y.yu B.B.yue S.Zeng y.Zeng L.Zhan C.zhang f.y.zhang H.H.zhang J.W.zhang Q.M.zhang X.T.zhang y.M.zhang y.X.zhang y.y.zhang Z.J.zhang Z.P.zhang Z.y.zhang J.Zhao L.Zhou H.L.Zhuang J.H.Zou Instiute of Modern Physics East China University of Science and TechnologyShanghai 200237 University of Wisconsin MadisonWisconsin 53706 Wright Laboratory and Department of Physics Yale UniversityNew HavenConnecticut 06520 Brookhaven National Laboratory UptonNew York 11973 Department of Physics National Taiwan UniversityTaipei Institute of High Energy Physics Beijing 100049 National United University Miao-Li Department of Engineering Physics Tsinghua UniversityBejing 100084 Shenzhen University Shenzhen 518060 Sun yat-Sen(Zhongshan)University Guangzhou North China Electric Power University Bejjing 102206 Chinese University of Hong Kong Hong Kong 999077 Siena College LoudonvilleNew York 12211 Department of Physics and Astronomy University of CaliforniaIrvineCaliformia 92697 University of Science and Technology of China Hefei 230026 Charles University Faculty of Mathematics and PhysicsPrague Department of Physics University of llinois at Urbana-ChampaignUrbanaIlinois 61801 Lawrence Berkeley National Laboratory BerkeleyCalifornia 94720 Department of Physics Illinois Institute of TechnologyChicagoIllinois 60616 Joint Institute for Nuclear Research DubnaMoscow Region Beijing Normal University Beijing 100875 Department of Nuclear Science and Technology School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an 710049 Department of Physics University of HoustonHoustonTexas 77204 China Institute of Atomic Energy Beijing 102413 Shandong University Jinan 250100 Guangxi University Nanning 530004 Center for Neutrino Physics Virginia TechBlacksburgVirginia 24061 Institute of Physics National Chiao-Tung UniversityHsinchu Department of Physics University of CincinnatiCincinnatiOhio 45221 Department of Physies Collge of Science and TechnologyTemple UniversityPhiladelphiaPennsylvania 19122 Dongguan University of Technology Dongguan 523808 Department of Physics University of CaliforniaBerkeleyCalifornia 94720 Department of Physics The University of Hong KongPokfulamHong Kong 999077 School

The establishment of a possible connection between neutrino emission and gravitational-wave(GW)bursts is important to our understanding of the physical processes that occur when black holes or neutron stars *** the Daya Bay experiment,using the data collected from December 2011 to August 2017,a search was per-formed for electron-antineutrino signals that coincided with detected GW events,including GW150914,GW151012,GW151226,GW170104,GW170608,GW 170814,and GW *** used three time windows of±10,±500,and±1000 s relative to the occurrence of the GW events and a neutrino energy range of 1.8 to 100 MeV to search for correlated neutrino *** detected electron-antineutrino candidates were consistent with the expected background rates for all the three time *** monochromatic spectra,we found upper limits(90%confidence level)of the electron-antineutrino fluence of(1.13-2.44)×10^(11)cm^(-2)at 5 MeV to 8.0×10^(7)cm^(-2)at 100 MeV for the three time w *** the assumption of a fermi-Dirac spectrum,the upper limits were found to be(5.4-7.0)×10^(9)cm^(2)for the three time windows.

关键词： grav itational waves electron-antineutrinos fluence upper limit

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Exercise preconditioning alleviates ischemia-induced memory deficits by increasing circulating adiponectin

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Neural Regeneration Research 2025年第5期20卷 1445-1454页

作者： Meifeng Zheng Borui zhang Sonata S y yau Kwok-fai So Li zhang Haining Ou Department of Rehabilitation Medicine Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Department of Rehabilitation Medicine The Fifth Clinical College of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Key Laboratory of CNS Regeneration(Ministry of Education) Guangdong-Hong Kong-Macao Institute of CNS RegenerationJinan UniversityGuangzhouGuangdong ProvinceChina Department of Rehabilitation Sciences The Hong Kong Polytechnic UniversityHong Kong Special Administrative RegionChina State Key Laboratory of Brain and Cognitive Science Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina Center for Exercise and Brain Science School of PsychologyShanghai University of SportShanghaiChina Neuroscience and Neurorehabilitation Institute University of Health and Rehabilitation SciencesQingdaoShandong ProvinceChina

Cerebral ischemia is a major health risk that requires preventive approaches in addition to drug *** exercise enhances neurogenesis and synaptogenesis,and has been widely used for functional rehabilitation after *** this study,we determined whether exercise training before disease onset can alleviate the severity of cerebral *** also examined the role of exercise-induced circulating factors in these *** mice were subjected to 14 days of treadmill exercise training before surgery for middle cerebral artery *** found that this exercise pre-conditioning strategy effectively attenuated brain infarct area,inhibited gliogenesis,protected synaptic proteins,and improved novel object and spatial memory *** analysis showed that circulating adiponectin plays a critical role in these preventive effects of *** activation of adiponectin receptors by Adipo Ron mimicked the effects of exercise,while inhibiting receptor activation abolished the exercise *** summary,our results suggest a crucial role of circulating adiponectin in the effects of exercise pre-conditioning in protecting against cerebral ischemia and supporting the health benefits of exercise.

关键词： adiponectin cerebral ischemia exercise pre-conditioning hippocampus memory function middle cerebral artery occlusion prefrontal cortex synaptic proteins treadmill exercise

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Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications

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Chinese Physics C 2021年第7期45卷 1-19页

作者： f.P.An A.B.Balantekin M.Bishai S.Blyth G.f.Cao J.Cao J.f.Chang y.Chang H.S.Chen S.M.Chen y.Chen y.X.Chen J.Cheng Z.K.Cheng J.J.Cherwinka M.C.Chu J.P.Cummings O.Dalager f.S.Deng y.y.Ding M.V.Diwan T.Dohnal D.Dolzhikov J.Dove M.Dvorak D.A.Dwyer J.P.Gallo M.Gonchar G.H.Gong H.Gong M.Grassi W.Q.Gu J.y.Guo L.Guo X.H.Guo y.H.Guo Z.Guo R.W.Hackenburg S.Hans a M.He K.M.Heeger y.K.Heng y.K.Hor y.B.Hsiung B.Z.Hu J.R.Hu T.Hu Z.J.Hu H.X.Huang J.H.Huang X.T.Huang y.B.Huang P.Huber D.E.Jaffe K.L.Jen X.L.Ji X.P.Ji R.A.Johnson D.Jones L.Kang S.H.Kettel S.Kohn M.Kramer T.J.Langford J.Lee J.H.C.Lee R.T.Lei R.Leitner J.K.C.Leung f.Li H.L.Li J.J.Li Q.J.Li R.H.Li S.Li S.C.Li W.D.Li X.N.Li X.Q.Li y.f.Li Z.B.Li H.Liang C.J.Lin G.L.Lin S.Lin J.J.Ling J.M.Link26 L.Littenberg B.R.Littlejohn J.C.Liu J.L.Liu J.X.Liu C.Lu H.Q.Lu K.B.Luk B.Z.Ma X.B.Ma X.y.Ma y.Q.Ma R.C.Mandujano C.Marshall K.T.McDonald R.D.McKeown y.Meng J.Napolitano D.Naumov E.Naumova T.M.T.Nguyen J.P.Ochoa-Ricoux A.Olshevskiy H.-R.Pan J.Park S.Patton J.C.Peng C.S.J.Pun f.Z.Qi M.Qi X.Qian N.Raper J.Ren C.Morales Reveco R.Rosero B.Roskovec X.C.Ruan H.Steiner J.L.Sun T.Tmej1 K.Treskov W.-H.Tse C.E.Tull B.Viren V.Vorobel C.H.Wang J.Wang M.Wang N.y.Wang R.G.Wang W.Wang W.Wang X.Wang y.Wang y.f.Wang Z.Wang Z.Wang Z.M.Wang H.y.Wei L.H.Wei L.J.Wen K.Whisnant C.G.White H.L.H.Wong E.Worcester D.R.Wu f.L.Wu Q.Wu W.J.Wu D.M.Xia Z.Q.Xie Z.Z.Xing H.K.Xu J.L.Xu T.Xu T.Xue C.G.yang L.yang y.Z.yang H.f.yao M.ye M.yeh B.L.young H.Z.yu Z.y.yu B.B.yue V.Zavadskyi S.Zeng y.Zeng L.Zhan C.zhang f.y.zhang H.H.zhang J.W.zhang Q.M.zhang S.Q.zhang X.T.zhang y.M.zhang y.X.zhang y.y.zhang Z.J.zhang Z.P.zhang Z.y.zhang J.Zhao R.Z.Zhao L.Zhou H.L.Zhuang J.H.Zou Institute of Modern Physics East China University of Science and TechnologyShanghai 200337 University of Wisconsin MadisonWisconsin 53706 Brookhaven National Laboratory UptonNew York 11973 Department of Physics Nnational Taiwan UniversityTaipei Institute of High Energy Physics Beijing 100049 National United University Miao-Li Department of Engineering Physics Tsinghua UniversityBeijing 100048 Shenzhen University Shenzhen 518061 Sun yat-Sen(Zhongshan)University Guangzhou 510275 North China Electric Power University Beijing 102206 Chinese University of Hong Kong Hongkong 999077 Siena College LoudonvilleNew York 12211 Department of Physics and Astronomy University of CaliforniaIrvineCalifornia 92697 University of Science and Technology of China Hefei 230022 Charles University Faculty of Mathematics and PhysicsPrague Joint Institute for Nuclear Research DubnaMoscow Region Department of Physics University of Illinois at Urbana-ChampaignUrbanaIllinois 61801 Lawrence Berkeley National Laboratory BerkeleyCalifornia 94720 Department of Physics Illinois Institute of TechnologyChicagoIllinois 60616 Beijing Normal University Beijing 100875 Department of Nuclear Science and Technology School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an 710049 Wright Laboratory and Department of Physics Yale UniversityNew HavenConnecticut 06520 China Institute of Atomic Energy Beijing 102413 Shandong University Jinan 250002 Guangxi University No.100 Daxue East RoadNanning 530004 Center for Neutrino Physics Virginia TechBlacksburgVirginia 24061 Institute of Physics NCTUHsinchu Department of Physics University of CincinnatiCincinnatiOhio 45221 Department of Physics College of Science and TechnologyTemple UniversityPhiladelphiaPennsylvania 19122 Dongguan University of Technology Dongguan 523808 Department of Physics University of CaliforniaBerkeleyCalifornia 94720 Department of Physics The University of Hong KongPokfulamHongkong 999077 School of Physics Nankai UniversityTianjin 300071 Department o

The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision *** positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment,in combination with the fission rates of fissile isotopes in the reactor,is used to extract the positron energy spectra resulting from the fission of specific *** information can be used to produce a precise,data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya *** positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding *** results are obtained with other unfolding methods.A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and *** the reactor fission fractions,the technique can predict the energy spectrum to a 2%*** addition,we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.

关键词： reactor antineutrino energy spectrum Daya Bay application

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The optimal control theory——a scientific approach to fundamentally solving control problems

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Science China(Information Sciences) 2025年第1期68卷 389-391页

作者： Huanshui zhang School of Electrical and Automation Engineering Shandong University of Science and Technology School of Control Science and Engineering Shandong University

The maximum principle has bridged mathematical optimization to optimal control,ushering in significant developments and refinements in optimal control theory,notably during the 1960s with the advent of linear quadratic (LQ)control and linear quadratic estimation (LQE).This progression propelled optimal control theory into further advancements,encompassing stochastic control,robust/H-infinity control,model predictive control (MPC),networked control,and reinforcement learning *** control,established upon a rigorous mathematical foundation,extends static optimization theory to dynamic systems,exhibiting scientific essence,unity,and ***,since its inception,optimal control theory has served as an indispensable core role across all control-related domains,including communication-constrained control in networked systems,consensus control,cooperative control,and reinforcement learning control.

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Numerical Simulation of Radiation Transport to Improve Microalgae Cultivation in an Air-Lift Photobioreactor

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Journal of Thermal Science 2025年第1期34卷 62-76页

作者： zhang Xianbin LI Mingjia HUNG Tzuchen zhang Zixun Key Laboratory of Thermo-fluid Science and Engineering of Ministry of Education School of Energy and Power EngineeringXi'an Jiaotong University School of Mechanical Engineering Beijing Institute of Technology Department of Mechanical Engineering Taipei University of Technology

A comprehensive numerical model is developed to simulate the growth of microalgae under light/dark cycling *** purpose of this study is to predict the growth rate of Chlorella vulgaris cultivated in photobioreactors(PBRs) in order to improve the light conditions for microalgae and enhance the photosynthetic *** fluid dynamics(CfD) is used to simulate its internal hydrodynamic *** Lagrangian method is employed to track the movement of microalgae *** radiative transfer equation(RTE)is used to obtain light intensity *** combination of light radiation field and microalgae cell motions is used to construct the light history and they are integrated into the model of the photosynthetic units(PSU) to calculate the microalgae growth *** numerical results demonstrate that enhanced light/dark cycling frequency with ordered mixing can promote efficient microalgae *** effect of the vortex flow field generated by the baffles in an air-lift PBR is analyzed for increasing microalgae growth *** using the 1:1 baffle spacing,the biomass production of microalgae is increased by 41.8% compared to the original PBR.

关键词： light distribution particle tracking photobioreactor structure optimization

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Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

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Energy Engineering 2025年第1期122卷 203-220页

作者： yu zhang Daoyu zhang TiezhouWu School of Electrical and Electronic Engineering Hubei University of TechnologyWuhan430068China

Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery ***,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity ***,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model *** address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural ***,two health features(Hfs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity ***,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network *** validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging *** experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.

关键词： Lithium-ion battery state of health differential thermal voltammetry Sparrow Search Algorithm

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Melting Evaluation of Phase Change Materials Impregnated into Cascaded Metal foams with Regionalized Enhancement

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Journal of Thermal Science 2025年第1期34卷 223-241页

作者： WEI Xinyi zhang Nan zhang Zhaoli CAO Xiaoling yUAN yanping School of Mechanical Engineering Southwest Jiaotong University

Metal foam promotes the heat transfer of phase change materials(PCMs) in the penalty of reducing the energy storage density of the composite *** this work,the effects of constant porosity(0.96,0.94,0.92,or 0.90) and pore density(PPI) of metal foam on heat transfer of composite PCMs are *** rate could be enhanced by employing with low porosity copper ***,aiming to the right bottom phase changing "dead region",a regionalized enhancement strategy of cascaded metal foams is *** dynamic melting performances of all the composite PCMs are comprehensively *** results reveal that the cascaded configuration is beneficial for *** show that the horizontal strategy enhances melting performance:a maximum of 17.98% reduction in total melting time could be reached when the rear part porosity is 90%.The energy storage density rate could be raised by 5.48%.Besides,the vertical strategy performs with a better average temperature uniformity of 0.441 and brings a lower temperature in the heated *** sum up,the regionalized enhancement of copper foam provides better performance in the phase change *** shows significant potential for solar heat storage and thermal protection.

关键词： copper metal foam heat transfer enhancement phase change materials regionalized enhancement

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ImSpiRE: image feature-aided spatial resolution enhancement method

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Science China Life Sciences 2025年第1期68卷 272-283页

作者： yuwei Hua yizhi zhang Zhenming Guo Shan Bian yong zhang State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center Institute for Regenerative MedicineDepartment of NeurosurgeryShanghai East HospitalShanghai Key Laboratory of Signaling and Disease ResearchFrontier Science Center for Stem Cell ResearchSchool of Life Sciences and TechnologyTongji University

The resolution of most spatially resolved transcriptomic technologies usually cannot attain the single-cell level, limiting their applications in biological discoveries. Here, we introduce ImSpiRE, an image feature-aided spatial resolution enhancement method for in situ capturing spatial transcriptome. Taking the information stored in histological images, ImSpiRE solves an optimal transport problem to redistribute the expression profiles of spots to construct new transcriptional profiles with enhanced resolution, together with extending the gene expression profiles into unmeasured regions. Applications to multiple datasets confirm that ImSpiRE can enhance spatial resolution to the subspot level while contributing to the discovery of tissue domains, signaling communication patterns, and spatiotemporal characterization.

关键词： spatial transcriptome histological images spatial resolution enhancement

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Aerodynamic Optimization and flow Mechanism for a Compressor Cascade at Low Reynolds Number

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Journal of Thermal Science 2025年第1期34卷 92-109页

作者： LI Lin zhang Jianshe CHEN Caiyan TAN Wei zhang yanfeng Key Laboratory of Light-Duty Gas-Turbine Institute of Engineering ThermophysicsChinese Academy of Sciences University of Chinese Academy of Sciences National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine

Low-Reynolds-number effect is an important factor affecting the performance of compressors and other main components of high-altitude long-endurance unmanned aerial *** improve the flow condition and reduce flow loss under the condition of high altitude and low Reynolds number(Re),this paper proposes an optimization process based on a surrogate model,which combines the class-shape transformation method(CST),the Latin hypercube sampling(LHS) method,the light gradient-boosting machine algorithm(LightGBM),and a genetic algorithm(GA) to optimize a high-subsonic compressor *** surrogate model is verified to be accurate and can be used in the optimization *** accuracy of the GA is higher than the other algorithms under common test *** optimization results are verified by numerical simulation,and the flow differences before and after optimization are compared,especially the flow within the boundary *** changing the blade shape,the optimization process adjusts the loading distribution to delay the transition of the optimized blade on the suction surface,which changes the turbulent reattachment in the laminar separation bubble(LSB) into laminar ***,the mixing loss induced by the turbulent reattachment of the LSB and the wake loss of turbulent separation at the trailing edge are significantly reduced,and the performance of the compressor profile is finally *** addition,turbulent separation of the optimized profile is delayed reducing the range of the wake region on the suction *** this optimization process,the reduction of total pressure loss coefficient at Re of 2.5×10～5,3.5×10～5,and 4.5×10～5 are 16.32%,20.76%,and 22.16%,respectively.

关键词： Reynolds number

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A Lightweight Multiscale feature fusion Network for Solar Cell Defect Detection

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Computers, Materials & Continua 2025年第1期82卷 521-542页

作者： Xiaoyun Chen Lanyao zhang Xiaoling Chen yigang Cen Linna zhang fugui zhang School of Mechanical Engineering Guizhou UniversityGuiyang550025China School of Computer Science and Technology Beijing Jiaotong UniversityBeijing100044China

Solar cell defect detection is crucial for quality inspection in photovoltaic power generation *** the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it challenging to collect defective ***,the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective *** paper proposes a novel Lightweight Multiscale feature fusion network(LMff)to address these *** network comprises a feature extraction network,a multi-scale feature fusion module(Mff),and a segmentation ***,a feature extraction network is proposed to obtain multi-scale feature outputs,and a multi-scale feature fusion module(Mff)is used to fuse multi-scale feature information *** order to capture finer-grained multi-scale information from the fusion features,we propose a multi-scale attention module(MSA)in the segmentation network to enhance the network’s ability for small target ***,depthwise separable convolutions are introduced to construct depthwise separable residual blocks(DSR)to reduce the model’s parameter ***,to validate the proposed method’s defect segmentation and localization performance,we constructed three solar cell defect detection datasets:SolarCells,SolarCells-S,and *** and SolarCells-S are monocrystalline silicon datasets,and PVEL-S is a polycrystalline silicon *** results show that the IOU of our method on these three datasets can reach 68.5%,51.0%,and 92.7%,respectively,and the f1-Score can reach 81.3%,67.5%,and 96.2%,respectively,which surpasses other commonly usedmethods and verifies the effectiveness of our LMff network.

关键词： Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block

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