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Mechanical properties and deformation mechanisms of Ti-3Al-5Mo-4.5V alloy with varied β phase stability

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Journal of Materials Science & Technology 2018年第12期34卷 2507-2514页

作者： q.xue Y.J.Ma J.F.Lei R.Yang C.Wang Institute of Metal Research Chinese Academy of Sciences School of Metallurgy Northeastern University

Evolution of deformation mechanisms and mechanical properties of Ti-3Al-5Mo-4.5V alloy with different β phase stability have been systematically investigated. β phase stability alteration is achieved through quenching temperature variation from dual α+β field(700℃) to single β field(880℃). Tensile tests at ambient temperature show that apparent yield strength of the alloy experiences an abrupt decrease followed by a significant increase from 700℃ to 880℃. Work hardening behavior is characterized by transition from the initial two-regime feature to the three-stage outlook. Concurrently, the maximum working hardening rate drops from 14000 MPa to 3000 MPa, which is concurrent with the shrinking volume fraction of primary a phase. Detailed discussion about the relationship between deformation mechanisms and β phase stability has been outlined.

关键词： Dual-phase titanium alloy β phase stability Work hardening behavior Deformation mechanisms

Multi-stream Parallel Optimizing for GPU Implementation of Reverse Time Migration

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Multi-stream Parallel Optimizing for GPU Implementation of R...

N=2a=1 supersymmetric KdV equation and its Darboux–B?cklund transformations

中国科学院地质与地球物理研究所2015年度（第15届）学术年会

作者： q.xue Y.Wang X.Chang Institute of Geology and Geophysics Chinese Acade

Reverse time migration(RTM)based on the full wave equation discretization are tools of major importance because they give an accurate representation of complex wave propagation ***,these applications impose high computational requirements,thus efficient parallelization of the RTM algonthm is *** this paper,we present a multi-stream optimizing approach for the RTM algorithm on the latest Kepler architecture *** approach take full advantage of the Hyper-q new feature of the Kepler architecture GPU so that multiple streams generated from a quantity of OpenMP threads operating on the CPU multicore processor can be rapidly running on massive fine-grain GPU processing *** results show that our approach 17%performance improvement to the single stream implementation on Nvidia Tesla K40 GPU.

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Communications in Theoretical Physics 2024年第11期 14-21页

作者： Xiao Xia Yang Lingling xue q P Liu School of Mathematical Sciences Capital Normal University Department of Applied Mathematics Ningbo University Department of Mathematics China University of Mining and Technology

In this paper, we study the N=2a=1 supersymmetric KdV equation. We construct its Darboux transformation and the associated B?cklund transformation. Furthermore, we derive a nonlinear superposition formula, and as applications we calculate some solutions for this supersymmetric KdV equation and recover the related results for the Kersten–Krasil'shchik coupled KdV-mKdV system.

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Doubled Hecke Algebras and Related quantum Schur Duality

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Algebra Colloquium 2024年第3期31卷 417-428页

作者： Chenliang xue An Zhang School of Mathematical Sciences East China Normal University Shanghai 200241China

introduce the doubled Hecke algebra,which is an infinite-dimensional algebra generated by two Hecke *** concept originates from the degenerate doubled Hecke algebra in the theory of Schur-Weyl duality related to enhanced reductive algebraic *** study the finite-dimensional natural representation of the doubled Hecke algebra on tensor space and prove that the doubled Hecke algebra forms a duality with the quantum group of Levi type.

关键词： quantum group doubled Hecke algebra quantum q-Schur duality double centralizer

A Double-Timescale Reinforcement Learning Based Cloud-Edge Collaborative Framework for Decomposable Intelligent Services in Industrial Internet of Things

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China Communications 2024年第10期21卷 181-199页

作者： Zhang qiuyang Wang Ying Wang xue School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications) Beijing 100876China

With the proportion of intelligent services in the industrial internet of things(IIoT)rising rapidly,its data dependency and decomposability increase the difficulty of scheduling computing *** this paper,we propose an intelligent service computing *** the framework,we take the long-term rewards of its important participants,edge service providers,as the optimization goal,which is related to service delay and computing *** the different update frequencies of data deployment and service offloading,double-timescale reinforcement learning is utilized in the *** the small-scale strategy,the frequent concurrency of services and the difference in service time lead to the fuzzy relationship between reward and *** solve the fuzzy reward problem,a reward mapping-based reinforcement learning(RMRL)algorithm is proposed,which enables the agent to learn the relationship between reward and action more *** large time scale strategy adopts the improved Monte Carlo tree search(MCTS)algorithm to improve the learning *** simulation results show that the strategy is superior to popular reinforcement learning algorithms such as double q-learning(DDqN)and dueling q-learning(dueling-DqN)in learning speed,and the reward is also increased by 14%.

关键词： computing service edge intelligence industrial internet of things(IIoT) reinforcement learning(RL)

Underlying anti-hypertensive mechanism of the Mizuhopecten yessoensis derived peptide NCW in spontaneously hypertensive rats via widely targeted kidney metabolomics

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Food Science and Human Wellness 2024年第1期13卷 472-481页

作者： Wenjun xue Wenzhu Zhao Sijia Wu Zhipeng Yu School of Food Science and Engineering Hainan UniversityHaikou 570228China College of Food Science and Engineering Bohai UniversityJinzhou 121013China Lab of Nutrition and Functional Food Jilin UniversityChangchun 130062China

The angiotensin-converting enzyme(ACE)inhibitory peptide NCW derived from Mizuhopecten yessoensis has been demonstrated to have significant in vivo anti-hypertensive effects,however,its anti-hypertensive mechanism is still not fully *** study established a UPLC-q-TRAP-MS/MS-based widely targeted kidney metabolomics approach to explore the changes of kidney metabolic profiles and to clarify the antihypertensive mechanism of peptide NCW in spontaneously hypertensive rats(SHRs).Multivariate statistical analysis indicated that the kidney metabolic profiles were clearly separated between the SHR-NCW and SHRUntreated groups.A total of 85 metabolites were differentially regulated,and 16 metabolites were identified as potential kidney biomarkers,e.g.,3-hydroxybutyrate,malonic acid,deoxycytidine,and L-aspartic *** peptide NCW might regulate kidney metabolic disorder of SHRs to alleviate hypertension by suppressing inflammation and improving nitric oxide production under the regulation of linoleic acid metabolism,folate related pathways,synthesis and degradation of ketone bodies,pyrimidine metabolism,β-alanine metabolism,and retinal metabolism.

关键词： ACE inhibitory peptide Kidney Mechanism Metabolomics Spontaneously hypertensive rats

Critical environmental factors affecting mountain geohazards in a warming climate in Southwest China

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Advances in Climate Change Research 2024年第4期15卷 695-707页

作者： Xiao-Ming XU Peng CUI xue-qin ZHANG Key Lab of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 10010lChina University of Chinese Academy of Sciences Beijing 100049China China-Pakistan Joint Research Center on Earth Sciences Chinese Academy of Sciences and Higher Education CommissionIslamabad 45320Pakistan

Environmental factors are essential input variables for susceptibility assessment models of mountain ***,the existing literature provides a limited understanding of the relative contribution of these factors to the occurrence of geohazards with a warming climate,posing tremendous challenges for risk management in mountainous ***'an city is susceptible to hazards because of its steep terrain,abundant precipitation and active seismic *** this regard,we utilise the GeoDetector model to extract critical environmental factors affecting the spatial patterns of mountain geohazards(i.e.,landslide,debris flow and rockfall)in Southwest *** analysis indicates that the factors with the highest explanatory power for the spatial distribution of landslides,debris flows,and rockfalls are soil property,extreme precipitation and extreme temperature,***,we revealed the synergistic effects among factors given their larger q-value than individual *** further explored the responses of mountain geohazards to climate change,including the rising temperature and precipitation,because the frequent occurrence of mountain geohazards is closely related to a warming *** variation in snow water equivalent caused by antecedent snowfall and snowdrifts acts as a crucial indicator for geohazards,highlighting the significance of snow and wind observations in meteorological nowcasting and disaster *** disclose the phenomenon of the geohazard hysteresis to the precipitation peak resulting from the top-down(i.e.,precipitation-runoff and surface-deep soil moisture)peak *** work is expected to enhance the precision of susceptibility assessment models and the reliability of short-term forecasts for mountain geohazards.

关键词： Mountain geohazards Environmental factors Climate change GeoDetector Southwest China

Kimura disease:review of the literature

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Kimura disease:review of the literature

MADRL-based UAV swarm non-cooperative game under incomplete information

作者： q.-F.Sun,~1 D.-Z.Xu,~2 S.-H.Pan,~3 J.-G.Ding,~1 Z.-q.xue,~4 C.-S.Miao,~4 G.-J.Cao~5 and D.-J.Jin~1 Departments of lInfectious Diseases,3Pathology,4Nephrology and 5Surgery,The Third Affiliated Hospital to Wenzhou Medical College, Wenzhou,Zhejiang and 2Beijing Di-tan Hospital,Beijing,China

Kimura disease(KD) is a rare,chronic inflammatory disease of unknown cause and is characterized by painless *** and lymphadenopathy commonly affecting the head and neck *** therapeutics has been used to treat KD,but is not satisfactory because of frequent *** has been reported previously to be useful for treatment of hypereosinophilic syndrome and may work by selectively blocking protein -tyrosine kinases,such as plateletderived growth factor receptor, and *** out immunohistochemical examination of platelet-derived growth factor receptor and cit in tissues from patients with KD. The results were positive and suggested that Imatinib might be an effective drug for the treatment of the *** have also briefly reviewed the epidemiology,aetiology,clinical manifestations,laboratory and pathological examinations,differential diagnoses,treatment and prognosis of KD in this manuscript.

关键词： Kimura disease eosinophilia immunohistochemistry protein-tyrosine kinase Imatinib.

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Chinese Journal of Aeronautics 2024年第6期37卷 293-306页

作者： Ershen WANG Fan LIU Chen HONG Jing GUO Lin ZHAO Jian xue Ning HE School of Electronic and Information Engineering Shenyang Aerospace UniversityShenyang 110136China College of Robotics Beijing Union UniversityBeijing 100101China School of Engineering Science University of Chinese Academy of SciencesBeijing 100049China College of Smart City Beijing Union UniversityBeijing 100101China

Unmanned Aerial Vehicles(UAVs)play increasing important role in modern *** this paper,considering the incomplete observation information of individual UAV in complex combat environment,we put forward an UAV swarm non-cooperative game model based on Multi-Agent Deep Reinforcement Learning(MADRL),where the state space and action space are constructed to adapt the real features of UAV swarm air-to-air *** multi-agent particle environment is employed to generate an UAV combat scene with continuous observation *** recently popular MADRL methods are compared extensively in the UAV swarm noncooperative game model,the results indicate that the performance of Multi-Agent Soft Actor-Critic(MASAC)is better than that of other MADRL methods by a large *** swarm employing MASAC can learn more effective policies,and obtain much higher hit rate and win *** under different swarm sizes and UAV physical parameters are also performed,which implies that MASAC owns a well generalization ***,the practicability and convergence of MASAC are addressed by investigating the loss value of q-value networks with respect to individual UAV,the results demonstrate that MASAC is of good practicability and the Nash equilibrium of the UAV swarm non-cooperative game under incomplete information can be reached.

关键词： UAV swarm Reinforcement learning Deep learning Multi-agent Non-cooperative game Nash equilibrium