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TOFD detection of shallow subsurface defects in aluminum alloy thin plates by half-skip mode-converted wave

Chinese Journal of Aeronautics 2024年第6期37卷 454-463页

作者： Shijie JIN Zhicheng WANG Zhongbing LUO NDT&E Laboratory Dalian University of TechnologyDalian 116085China

Aluminum alloy is widely applied to the aerospace ***,the inspection of thin plates using Time-of-Flight Diffraction(TOFD)technique is restricted by the near-surface dead zone because of the coupling between diffracted longitudinal wave and lateral *** halfskip mode-converted wave is introduced to decrease dead zone and detect defects in aluminum alloy thin plates by increasing ray path and propagation *** quantitative correlation for the diffracted shear wave from longitudinal back-wall wave is deduced in combination with the acoustic path,realizing the accurate location of shallow subsurface *** and experimental results indicate that the dead zone is decreased by 38% by the half-skip mode-converted wave,and the location errors are within 5% for the aluminum alloy plate with a thickness of 7.0 *** to other alternative TOFD techniques,half-skip mode-converted wave has better response amplitude and positioning accuracy,demonstrating strong applicability in TOFD inspection of thin plates.

关键词： Ultrasonic testing Time-of-Flight Diffraction(TOFD) Dead zone Half-skip mode-converted wave Quantitative detection

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Collaborative non-chain DNN inference with multi-device based on layer parallel

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Digital Communications and Networks 2024年第6期10卷 1748-1759页

作者： Qiuping Zhang Sheng Sun Junjie Luo Min Liu Zhongcheng Li Huan Yang Yuwei Wang Institute of Computing Technology Chinese Academy of SciencesBeijing100190China University of Chinese Academy of Sciences Beijing100049China Zhongguancun Laboratory Beijing100190China

Various intelligent applications based on non-chain DNN models are widely used in Internet of Things(IoT)***,resource-constrained Io T devices usually cannot afford the heavy computation burden and cannot guarantee the strict inference latency requirements of non-chain DNN ***-device collaboration has become a promising paradigm for achieving inference ***,existing works neglect the possibility of inter-layer parallel execution,which fails to exploit the parallelism of collaborating devices and inevitably prolongs the overall completion ***,there is an urgent need to pay attention to the issue of non-chain DNN inference acceleration with multi-device collaboration based on inter-layer *** major challenges to be overcome in this problem include exponential computational complexity,complicated layer dependencies,and intractable execution location *** this end,we propose a Topological Sorting Based Bidirectional Search(TSBS)algorithm that can adaptively partition non-chain DNN models and select suitable execution locations at layer *** specifically,the TSBS algorithm consists of a topological sorting subalgorithm to realize parallel execution with low computational complexity under complicated layer parallel constraints,and a bidirectional search subalgorithm to quickly find the suitable execution locations for non-parallel *** experiments show that the TSBS algorithm significantly outperforms the state-of-the-arts in the completion latency of non-chain DNN inference,a reduction of up to 22.69%.

关键词： Collaborative DNN inference Multi-device collaboration Non-chain DNN model

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Natural variation of CT2 affects the embryo/kernel weight ratio in maize

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Journal of Genetics and Genomics 2025年第3期52卷 432-440页

作者： Yumin Zhang Sihan Zhen Chunxia Zhang Jie Zhang Xiaoqing Shangguan Jiawen Lu Qingyu Wu Lynnette M.A.Dirk A.Bruce Downie Guoying Wang Tianyong Zhao Junjie Fu State Key Laboratory for Crop Stress Resistance and High-Efficiency Production College of Life SciencesNorthwest A&F UniversityYanglingShaanxi 712100China The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region Ministry of AgricultureNorthwest A&F UniversityYanglingShaanxi 712100China State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Seed Science and Technology Research Center Beijing Innovation Center for Seed Technology(MOA)Beijing Key Laboratory for Crop Genetic ImprovementCollege of Agronomy and BiotechnologyChina Agricultural UniversityBeijing 100193China School of Management Science and Real Estate Chongqing UniversityChonging 400045China Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesBeijing 100081China Department of Horticulture Seed BiologyCollege of AgricultureFood and EnvironmentUniversity of KentuckyLexingtonKY 40546USA

Embryo size is a critical trait determining not only grain yield but also the nutrition of the maize *** to the present,only a few genes have been characterized affecting the maize embryo/kernel ***,we identify 63 genes significantly associated with maize embryo/kernel weight ratio using a genome-wide association study(GWAS).The peak GWAS signal shows that the natural variation in Zea mays COMPACT PLANT2(CT2),encoding the heterotrimeric G proteinαsubunit,is significantly associated with the Embryo/Kernel Weight Ratio(EKWR).Further analyses show that a missense mutation of CT2 increases its enzyme activity and associates with *** function of CT2 on affecting embryo/kernel weight ratio is further validated by the characterization of two ct2 mutants,for which EKWR is significantly ***,the key downstream genes of CT2 are identified by combining the differential expression analysis of the ct2 mutant and quantitative trait transcript analysis in the GWAS *** addition,the allele frequency spectrum shows that CT2 was under selective pressure during maize *** study provides important genetic insights into the natural variation of maize embryo/kernel weight ratio,which could be applied in future maize breeding programs to improve grain yield and nutritional content.

关键词： Maize Embryo size GWAS CT2 Natural variation

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research on prediction method of expressway section traffic flow considering anomaly detection probability

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IET INTELLIGENT TRANSPORT SYSTEMS 2024年第1期18卷 16-28页

作者： Wang, Zhiyu Li, Linheng Qu, Xu Mao, Peipei Ran, Bin Southeast Univ Sch Transportat Nanjing Peoples R China

Real-time and accurate short-term traffic flow prediction can provide a scientific basis for decision making by travellers and traffic management, and alleviate traffic congestion to a certain extent. The existing traffic flow prediction methods often encounter limitations in real-time performance and accuracy due to the post-processing required to rectify anomaly detection results during data pre-processing. This paper presents a novel traffic flow prediction model, termed the With-Anomaly Detection Probability (ADP) Attention-Bidirectional Long-Short Term Memory (BiLSTM) model. This model takes the probability of anomaly detection into consideration, integrating the anomaly detection outcomes as an inherent parameter into the traffic flow prediction framework. Additionally, the model incorporates an attention mechanism within the long-short term memory network. Through a comprehensive simulation study utilizing actual measured traffic flow data from the Shanghai-Chongqing Expressway, the effectiveness of the proposed model is rigorously evaluated. The prediction results show that the model proposed in this paper is a real-time and accurate short-time traffic flow prediction model compared with the basic models. This paper presents a novel traffic flow prediction model, termed the With-ADP Attention-BiLSTM model. This model takes the probability of anomaly detection into consideration, integrating the anomaly detection outcomes as an inherent parameter into the traffic flow prediction framework and incorporates an attention mechanism within the long-short term memory network. The prediction results show that the model proposed in this paper is a real-time and accurate short-time traffic flow prediction model compared with the basic ***

关键词： Anomaly Detection Probability Attention Mechanism Recurrent Neural Network Traffic Flow Prediction

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Analytical computation of magnetic field in coil-dominated superconducting quadrupole magnets based on racetrack coils

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Nuclear Science and Techniques 2024年第4期35卷 119-135页

作者： Chuang Shen Ying-Shun Zhu Fu-San Chen China Spallation Neutron Source Institute of High Energy PhysicsChinese Academy of Sciences1 Zhongziyuan RoadDongguan 523000China Institute of High Energy Physics Chinese Academy of Sciences19B Yuquan RoadBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China

Currently,three types of superconducting quadrupole magnets are used in particle accelerators:cos 2θ,CCT,and ***,all three coil configurations have complex spatial geometries,which make magnet manufacturing and strain-sensitive superconductor applications *** with the three existing quadrupole coils,the racetrack quadrupole coil has a simple shape and manufacturing process,but there have been few theoretical *** this paper,the two-dimensional and three-dimensional analytical expressions for the magnetic field in coil-dominated racetrack superconducting quadrupole magnets are *** analytical expressions of the field harmonics and gradient are fully resolved and depend only on the geometric parameters of the coil and current ***,a genetic algorithm is applied to obtain a solution for the coil geometry parameters with field harmonics on the order of 10^(-4).Finally,considering the practical engineering needs of the accelerator interaction region,electromagnetic design examples of racetrack quadrupole magnets with high gradients,large apertures,and small apertures are described,and the application prospects of racetrack quadrupole coils are analyzed.

关键词： Superconducting quadrupole magnet Racetrack coil Multipole field Genetic algorithm Magnetic design

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Lysine 2-hydroxyisobutyrylation levels determined adipogenesis and fat accumulation in adipose tissue in pigs

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Journal of Animal Science and Biotechnology 2024年第5期15卷 2093-2105页

作者： Enfa Yan Mingyang Tan Ning Jiao Linjuan He Boyang Wan Xin Zhang Jingdong Yin State Key Laboratory of Animal Nutrition and Feeding College of Animal Science and TechnologyChina Agricultural UniversityBeijing 100193China College of Animal Science and Veterinary Medicine Shandong Agricultural UniversityTaian 271018Shandong ProvinceChina Molecular Design Breeding Frontier Science Center of the Ministry of Education(MOE) Beijing 100193China

Background Excessive backfat deposition lowering carcass grade is a major concern in the pig industry,especially in most breeds of obese type *** mechanisms involved in adipogenesis and fat accumulation in pigs remain *** 2-hydroxyisobutyrylation(Khib),is a novel protein post-translational modification(PTM),which play an important role in transcription,energy metabolism and metastasis of cancer cells,but its role in adipogenesis and fat accumulation has not been *** In this study,we first analyzed the modification levels of acetylation(Kac),Khib,crotonylation(Kcr)and succinylation(Ksu)of fibro-adipogenic progenitors(FAPs),myogenic precursors(Myo)and mesenchymal stem cells(MSCs)with varied differentiation potential,and found that only Khib modification in FAPs was significantly higher than that in ***,in parallel with its regulatory enzymes lysine acetyltransferase 5(KAT5)and histone deacetylase 2(HDAC2)protein levels,the Khib levels increased quadratically(P<0.01)during adipogenic differentiation of ***5 knockdown in FAPs inhibited adipogenic differentiation,while HDAC2 knockdown enhanced adipogenic *** also demonstrated that Khib modification favored to adipogenic differentiation and fat accumulation by comparing Khib levels in FAPs and backfat tissues both derived from obese-type pigs(Laiwu pigs)and lean-type pigs(Duroc pigs),***,the expression patterns of KAT5 and HDAC2 matched well to the degree of backfat accumulation in obese-and lean-type *** From the perspective of protein translational modification,we are the first to reveal the role of Khib in adipogenesis and fat deposition in pigs,and provided new clues for the improvement of fat accumulation and distribution as expected via genetic selection and nutritional strategy in obese-type pigs.

关键词： Adipogenesis Backfat Fat accumulation 2-Hydroxyisobutyrylation Intramuscular fat content Pigs

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Advances in air pollution control for vessels in china

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Journal of Environmental Sciences 2023年第1期123卷 212-221页

作者： Yanping Yang Yue Gong Ying Wang Xuecheng Wu Zhiying Zhou Weiguo Weng Yongxin Zhang State Key Laboratory of Clean Energy Utilization College of Energy EngineeringZhejiang UniversityHangzhou 310027China Energy Engineering Design and Research Institute Co.Ltd. Zhejiang UniversityHangzhou 310027China

Vessel emissions have contributed a great deal to air quality deterioration in ***,the Chinese government has promulgated a series of stringent emission *** is in this context that vessel emission control technology research is in full *** particular,during the 13th Five-Year Plan,the air pollution control technology of vessels has greatly *** emission control has followed two main governance routes:source emission reduction and aftertreatment *** control focuses on alternative fuels,with two main directions,the development of new fuels and the modification of existing ***,after-treatment technologies have also been developed,including wet desulfurization technology using seawater or alkaline liquids as wet washing liquids and selective catalytic reduction(SCR)for the control of NOx *** to china’s increasingly stringent emissions standards and regulations,work on the development of clean alternative fuels and further upgrading the collaborative application of after-treatment technologies to meet the near-zero-emissions requirements of vessels is still necessary.

关键词： Vessels Legislation Emission control Liquefied natural gas Desulfurization Selective catalytic reduction

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Compilation of reaction kinetics parameters determined in the key development Project for Air Pollution Formation Mechanism and Control Technologies in china

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Journal of Environmental Sciences 2023年第1期123卷 327-340页

作者： Yuehui Liu Ming Zhou Keding Lu State Key Joint Laboratory of Environmental Simulation and Pollution Control State Environmental Protection Key Laboratory of Atmospheric Ozone Pollution ControlCollege of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China

A compilation of new advances made in the research?eld of laboratory reaction kinetics in china’s key development Project for Air Pollution Formation Mechanism and Control Technologies was *** advances are grouped into six broad,interrelated categories,including volatile organic compound(VOC)oxidation,secondary organic aerosol(SOA)formation,new particle formation(NPF)and gas-particle partitioning,ozone chemistry,model parameters,and secondary inorganic aerosol(SIA)formation,highlighting the laboratory work done by Chinese *** smog chamber applications,the current knowledge gained from laboratory studies is reviewed,with emphasis on summarizing the oxidation mechanisms of long-chain alkanes,aromatics,alkenes,aldehydes/ketones in the atmosphere,SOA formation from anthropogenic emission sources,and oxidation of aromatics,isoprene,and limonene,as well as SIA ***?ow tube applications,atmospheric oxidation mechanisms of toluene and methacrolein,SOA formation from limonene oxidation by ozone,gas-particle partitioning of peroxides,and sulfuric acid-water(H2SO4-H2O)binary nucleation,methanesulfonic acid-water(MSA-H2O)binary nucleation,and sulfuric acid-ammonia-water(H2SO4-NH3-H2O)ternary nucleation are discussed.

关键词： Smog chamber Flow tube VOC oxidation SOA formation New particle formation Gas-particle partitioning SIA formation

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Thermal-hydraulic performance analysis and multi-objective optimization of a microchannel with staggered semi-elliptical ribs

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Science china(Technological Sciences) 2024年第10期67卷 3152-3167页

作者： CUI Pan LIU Wei LIU ZhiChun School of Energy and Power Engineering Huazhong University of Science and TechnologyWuhan 430074China

To enhance the cooling capacity of traditional microchannels for high heat flux electronic devices,a microchannel design with staggered semi-elliptical ribs is proposed in this *** numerical simulations,the flow characteristics of the designed microchannel are compared with those of a smooth one,and the effects of rib width(W_(r)),rib height(H_(r)),and rib length(L_(r)),on the thermal-hydraulic performance are investigated under laminar flow *** results show that the periodically arranged ribs induce periodic vortices within the microchannel,effectively promoting fluid mixing and enhancing heat transfer.W_(r) and H_(r) have similar effects on microchannel performance,with an increase in them leading to an enhanced thermal performance at the expense of deteriorated hydraulic ***,L_(r) has a comparatively weaker influence,with both the heat transfer and flow resistance initially growing with increasing L_(r) and then *** strike a balance between the two performances,a multi-objective optimization on the three geometrical parameters is conducted at a Reynolds number(Re)of *** with simulation data,artificial neural networks are trained as surrogate models,and a multi-objective genetic algorithm is employed to derive the Pareto *** the TOPSIS decision-making method,an optimal compromise solution is determined as W_(r)=0.2415 mm,H_(r)=0.0976 mm,and L_(r)=0.6486 *** testing on the optimized microchannel reveals that it exhibits high heat transfer,middle flow resistance,and excellent overall performance,with the performance evaluation criterion(PEC)falling between 1.572 and 1.723 within the Re range of 220–660.

关键词： heat transfer enhancement microchannel semi-elliptical rib numerical simulation multi-objective optimization

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Improving global weather and ocean wave forecast with large artificial intelligence models

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Science china Earth Sciences 2024年第12期67卷 3641-3654页

作者： Fenghua LING Lin OUYANG Boufeniza Redouane LARBI Jing-Jia LUO Tao HAN Xiaohui ZHONG Lei BAI Institute for Climate and Application Research(ICAR)/CIC-FEMD/KLME/ILCEC School of Future TechnologyNanjing University of Information Science and TechnologyNanjing 210044China Ganzhou Meteorological Bureau Ganzhou 341000China Shanghai AI Laboratory Shanghai 200232China The Hong Kong University of Science and Technology Hong Kong 999077China Artificial Intelligence Innovation and Incubation Institute of Fudan University Shanghai 201203China

The rapid advancement of artificial intelligence technologies,particularly in recent years,has led to the emergence of several large parameter artificial intelligence weather forecast *** models represent a significant breakthrough,overcoming the limitations of traditional numerical weather prediction models and indicating the emergence of profound potential tools for atmosphere-ocean *** study explores the evolution of these advanced artificial intelligence forecast models,and based on the identified commonalities,proposes the“Three Large Rules”for large weather forecast models:a large number of parameters,a large number of predictands,and large potential *** discuss the capacity of artificial intelligence to revolutionize numerical weather prediction,briefly outlining the underlying reasons for the significant improvement in weather *** acknowledging the high accuracy,computational efficiency,and ease of deployment of large artificial intelligence forecast models,we also emphasize the irreplaceable values of traditional numerical forecasts and explore the challenges in the future development of large-scale artificial intelligence atmosphere-ocean forecast *** believe that the optimal future of atmosphere-ocean weather forecast lies in achieving a seamless integration of artificial intelligence and traditional numerical *** a synthesis is anticipated to offer a more advanced and reliable approach for improved atmosphere-ocean ***,we illustrate how forecasters can leverage the large weather forecast models through an example by building an artificial intelligence model for global ocean wave forecast.

关键词： Numerical weather prediction Deep learning Large AI weather forecast models Global ocean wave forecast

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