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keyphrase extraction with dynamic graph convolutional networks and diversified inference

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arXiv 2020年

作者： Zhang, Haoyu Long, Dingkun Xu, Guangwei Xie, Pengjun Huang, Fei Wang, Ji State Key Laboratory of High Performance Computing National University of Defense Technology China Alibaba Group China

keyphrase extraction (KE) aims to summarize a set of phrases that accurately express a concept or a topic covered in a given document. Recently, Sequence-to-Sequence (Seq2Seq) based generative framework is widely used in KE task, and it has obtained competitive performance on various benchmarks. The main challenges of Seq2Seq methods lie in acquiring informative latent document representation and better modeling the compositionality of the target keyphrases set, which will directly affect the quality of generated keyphrases. In this paper, we propose to adopt the Dynamic Graph Convolutional Networks (DGCN) to solve the above two problems simultaneously. Concretely, we explore to integrate dependency trees with GCN for latent representation learning. Moreover, the graph structure in our model is dynamically modified during the learning process according to the generated keyphrases. To this end, our approach is able to explicitly learn the relations within the keyphrases collection and guarantee the information interchange between encoder and decoder in both directions. Extensive experiments on various KE benchmark datasets demonstrate the effectiveness of our approach. Copyright © 2020, The Authors. All rights reserved.

关键词： Extraction

Inhibition of p53 and/or AKT as a new therapeutic approach specifically targeting ALT cancers

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Protein & Cell 2019年第11期10卷 808-824页

作者： Yuanlong Ge Shu Wu Zepeng Zhang Xiaocui Li Feng Li Siyu Yan Haiying Liu Junjiu Huang Yong Zhao MOE Key Laboratory of Gene Function and Regulation State Key Laboratory of BiocontrolSchool of Life SciencesSun Yatsen UniversityGuangzhou 510006China Collaborative Innovation Center of High Performance Computing National University of Defense TechnologyChangsha 410073China

While the majority of all human cancers court teract telomere shortening by expressing telomerase,-15%of all cancers maintain telomere length by a telomerase?independent mechanism known as alternative lengthening of telomeres(ALT).Here,we show that high load of intrinsic DNA damage is present in ALT cancer cells,leading to apoptosis stress by activating p53-independent,but JNK/c-IVIyc-dependent apoptotic ***,ALT cells expressing wild-type p53 show much lower apoptosis than p53-deficient ALT ***,we find that intrinsic DNA damage in ALT cells induces low level of p53 that is insufficient to initiate the transcription of apoptosis-related genes,but is sufficient to stimulate the expression of key components of mTORC2(mTOR and Rictor),which in turn leads to phosphorylation of *** AKT(p-AKT)thereby stimulates downstream anti-apoptotic ***,p53 and AKT are the key factors that suppress sponta?neous apoptosis in ALT ***,inhibition of p53 or AKT selectively induces rapid death of ALT cells in vitro,and p53 inhibitor severely suppresses the growth of ALT-cell xenograft tumors in *** findings reveal a previously unrecognized function of p53 in antiapoptosis and identify that the inhibition of p53 or AKT has a potential as therapeutics for specifically targeting ALT cancers.

关键词： ALT p53 AKT DNA damage apoptosis telomeres

Dynamic mesh re-partitioning considering iterative convergence rate for multiphase flows in OpenFOAM

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Dynamic mesh re-partitioning considering iterative convergen...

作者： Xu, Liyang Wang, Miao Xu, Xinhai Cui, Chen Yang, Xuejun State Key Laboratory of High Performance Computing School of Computer National University of Defense Technology Changsha China

For parallel multiphase flows, the core procedure is solving linear systems using preconditioned iterative methods, and the iterative convergence rate is crucial to the overall efficiency. How the mesh is partitioned influences the iterative convergence rate. However, the numerical characteristics of the linear systems vary significantly along with the time steps because of the dramatic change of the flow fields. Traditional static mesh partition cannot guarantee a good convergence feature throughout the simulation. A dynamic mesh re-partitioning scheme MDMRPar (Multiphase Dynamic Mesh Re-Partitioning) is proposed and implemented in OpenFOAM (Open Field Operation And Manipulation). MDMRPar employs a new surface field to record the linear system information in every time step. For simple multiphase problems with topo-invariant mesh, MDMRPar periodically adopts the numerical information from the previous time step and calculates a weighted graph from the mesh topology in a straightforward way. For multiphase flows using adaptive mesh refinement method, a coarse graph with vertex weights is built based on the mesh topology and refinement history. The numerical information on the surface field is integrated into the coarse graph as edge weights. In both cases, weighted graphs are re-partitioned by ParMetis, a general multi-level parallel graph re-partitioning package. Experimental results on three multiphase flows show that MDMRPar significantly outperforms the traditional partitioning/re-partitioning schemes both in the iterative convergence rate and the total simulation time. © 2019 John Wiley & Sons, Ltd.

关键词： Multiphase flow

A CGAN-LSTM-Based Framework for Time-Varying Non-Stationary Channel Modeling

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arXiv 2025年

作者： Guo, keying He, Ruisi Yang, Mi Zhang, Yuxin Ai, Bo Zhang, Haoxiang Han, Jiahui Chen, Ruifeng School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China State Key Laboratory of Advanced Rail Autonomous Operation Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China China Academy of Industrial Internet Ministry of Industry and Information Technology Beijing China Institute of Computing Technology China Academy of Railway Sciences Corporation Limited Beijing100081 China

Time-varying non-stationary channels, with complex dynamic variations and temporal evolution characteristics, have significant challenges in channel modeling and communication system performance evaluation. Most existing methods of time-varying channel modeling focus on predicting channel state at a given moment or simulating short-term channel fluctuations, which are unable to capture the long-term evolution of the channel. This paper emphasizes the generation of long-term dynamic channel to fully capture evolution of non-stationary channel properties. The generated channel not only reflects temporal dynamics but also ensures consistent stationarity. We propose a hybrid deep learning framework that combines conditional generative adversarial networks (CGAN) with long short-term memory (LSTM) networks. A stationarity-constrained approach is designed to ensure temporal correlation of the generated time-series channel. This method can generate channel with required temporal non-stationarity. The model is validated by comparing channel statistical features, and the results show that the generated channel is in good agreement with raw channel and provides good performance in terms of non-stationarity. Copyright © 2025, The Authors. All rights reserved.

关键词： Long Term Evolution (LTE)

Quantum Hall admittance in non-Hermitian systems

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arXiv 2021年

作者： Fan, Annan Huang, Guang-Yao Liang, Shi-Dong School of Physics Sun Yat-Sen University Guangzhou510275 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China State Key Laboratory of Optoelectronic Material and Technology Guangdong Province Key Laboratory of Display Material and Technology Sun Yat-Sen University Guangzhou510275 China

We propose a pair of the complex Berry curvatures associated with the non-Hermitian Hamiltonian and its Hermitian adjoint to reveal new physics in non-Hermitian systems. We give the complex Berry curvature and Berry phase for the two-dimensional non-Hermitian Dirac model. The imaginary part of the complex Berry phase induces the quantum Hall susceptance such that the quantum Hall conductance is generalized to quantum Hall admittance for non-Hermitian systems, which implies that the non-Hermiticity of systems could induce an intrinsic quantum capacitance or inductance of systems depending on the non-Hermitian parameters. We analyze the complex energy band structures of the two-dimensional non-Hermitian Dirac model and demonstrate the point and line gaps and their closings as the exceptional degeneracy of the energy bands in the parameter space, which are associated with topological phases. In the continuum limit, we obtain the complex Berry phase in the parameter space. © 2021, CC BY-NC-ND.

关键词： Fruits

Theoretical analysis of thermal boundary conductance of MoS2-SiO2 and WS2-SiO2 interface

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arXiv 2021年

作者： Ong, Zhun-Yong Cai, Yongqing Zhang, Gang Zhang, Yong-Wei Institute of High Performance Computing A*STAR Singapore138632 Singapore Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau Taipa China

Understanding the physical processes involved in interfacial heat transfer is critical for the interpretation of thermometric measurements and the optimization of heat dissipation in nanoelectronic devices that are based on transition metal dichalcogenide (TMD) semiconductors. We model the phononic and electronic contributions to the thermal boundary conductance (TBC) variability for the MoS2-SiO2 and WS2-SiO2 interface. A phenomenological theory to model diffuse phonon transport at disordered interfaces is introduced and yields G = 13.5 and 12.4 MW/K/m2 at 300 K for the MoS2-SiO2 and WS2-SiO2 interface, respectively. We compare its predictions to those of the coherent phonon model and find that the former fits the MoS2-SiO2 data from experiments and simulations significantly better. Our analysis suggests that heat dissipation at the TMD-SiO2 interface is dominated by phonons scattered diffusely by the rough interface although the electronic TBC contribution can be significant even at low electron densities (n ≤ 1012 cm−2) and may explain some of the variation in the experimental TBC data from the literature. The physical insights from our study can be useful for the development of thermally aware designs in TMD-based nanoelectronics. © 2021, CC BY.

关键词： Silica

Maximal coin-walker entanglement in a ballistic quantum walk

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arXiv 2022年

作者： Zhang, Rong Yang, Ran Guo, Jian Sun, Chang-Wei Duan, Jia-Chen Zhou, Heng Xie, Zhenda Xu, Ping Gong, Yan-Xiao Zhu, Shi-Ning National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha410073 China

We report the position-inhomogeneous quantum walk (IQW) can be utilized to produce the maximal high dimensional entanglement while maintaining the quadratic speedup spread of the wave-function. Our calculations show that the maximal coin-walker entanglement can be generated in any odd steps or asymptotically in even steps, and the nearly maximal entanglement can be obtained in even steps after 2. We implement the IQW by a stable resource-saving time-bin optical network, in which a polarization Sagnac loop is employed to realize the precisely tunable phase shift. Our approach opens up an efficient way for high-dimensional entanglement engineering as well as promotes investigations on the role of coin-walker interactions in QW based applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum entanglement

Arbitrary coherent distributions in a programmable quantum walk

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arXiv 2022年

作者： Zhang, Rong Yang, Ran Guo, Jian Sun, Chang-Wei Liu, Yi-Chen Zhou, Heng Xu, Ping Xie, Zhenda Gong, Yan-Xiao Zhu, Shi-Ning National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha410073 China

The coherent superposition of position states in a quantum walk (QW) can be precisely engineered towards the desired distributions to meet the need of quantum information applications. The coherent distribution can make full use of quantum parallel in computation and simulation. Particularly, the uniform superposition provides the robust non-locality, which has wide applications such as the generation of genuine multi-bit random numbers without post-processing. We experimentally demonstrate that the rich dynamics featured with arbitrary coherent distributions can be obtained by introducing different sets of the time- and position-dependent operations. Such a QW is realized by a resource-constant and flexible optical circuit, in which the variable operation is executed based on a Sagnac interferometer in an intrinsically stable and precisely controlled way. Our results contribute to the practical realization of quantum-walk-based quantum computation, quantum simulations and quantum information protocols. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

LHAASO-KM2A detector simulation using Geant4

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Radiation Detection technology and Methods 2024年第3期8卷 1437-1447页

作者： Zhen Cao F.Aharonian Q.An Axikegu Y.X.Bai Y.W.Bao D.Bastieri X.J.Bi Y.J.Bi J.T.Cai Q.Cao W.Y.Cao Zhe Cao J.Chang J.F.Chang A.M.Chen E.S.Chen Liang Chen Lin Chen Long Chen M.J.Chen M.L.Chen Q.H.Chen S.H.Chen S.Z.Chen T.L.Chen Y.Chen N.Cheng Y.D.Cheng M.Y.Cui S.W.Cui X.H.Cui Y.D.Cui B.Z.Dai H.L.Dai Z.G.Dai Danzengluobu X.Q.Dong K.K.Duan J.H.Fan Y.Z.Fan J.Fang K.Fang C.F.Feng L.Feng S.H.Feng X.T.Feng Y.L.Feng S.Gabici B.Gao C.D.Gao L.Q.Gao Q.Gao W.Gao W.K.Gao M.M.Ge L.S.Geng G.Giacinti G.H.Gong Q.B.Gou M.H.Gu F.L.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han H.H.He H.N.He J.Y.He X.B.He Y.He Y.K.Hor B.W.Hou C.Hou X.Hou H.B.Hu Q.Hu S.C.Hu D.H.Huang T.Q.Huang W.J.Huang X.T.Huang X.Y.Huang Y.Huang Z.C.Huang X.L.Ji H.Y.Jia K.Jia K.Jiang X.W.Jiang Z.J.Jiang M.Jin M.M.Kang T.Ke D.Kuleshov K.Kurinov B.B.Li Cheng Li Cong Li D.Li F.Li H.B.Li H.C.Li H.Y.Li J.Li Jian Li Jie Li K.Li W.L.Li W.L.Li X.R.Li Xin Li Y.Z.Li Zhe Li Zhuo Li E.W.Liang Y.F.Liang S.J.Lin B.Liu C.Liu D.Liu H.Liu H.D.Liu J.Liu J.L.Liu J.Y.Liu M.Y.Liu R.Y.Liu S.M.Liu W.Liu Y.Liu Y.N.Liu R.Lu Q.Luo H.K.Lv B.Q.Ma L.L.Ma X.H.Ma J.R.Mao Z.Min W.Mitthumsiri H.J.Mu Y.C.Nan A.Neronov Z.W.Ou B.Y.Pang P.Pattarakijwanich Z.Y.Pei M.Y.Qi Y.Q.Qi B.Q.Qiao J.J.Qin D.Ruffolo A.Sáiz D.Semikoz C.Y.Shao L.Shao O.Shchegolev X.D.Sheng F.W.Shu H.C.Song Yu.V.Stenkin V.Stepanov Y.Su Q.N.Sun X.N.Sun Z.B.Sun P.H.T.Tam Q.W.Tang Z.B.Tang W.W.Tian C.Wang C.B.Wang G.W.Wang H.G.Wang H.H.Wang J.C.Wang K.Wang L.P.Wang L.Y.Wang P.H.Wang R.Wang W.Wang X.G.Wang X.Y.Wang Y.Wang Y.D.Wang Y.J.Wang Z.H.Wang Z.X.Wang Zhen Wang Zheng Wang D.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu S.Wu X.F.Wu Y.S.Wu S.Q.Xi J.Xia J.J.Xia G.M.Xiang D.X.Xiao G.Xiao G.G.Xin Y.L.Xin Y.Xing Z.Xiong D.L.Xu R.F.Xu R.X.Xu W.L.Xu L.Xue D.H.Yan J.Z.Yan T.Yan C.W.Yang F.Yang F.F.Yang H.W.Yang J.Y.Yang L.L.Yang M.J.Yang R.Z.Yang S.B.Yang Y.H.Yao Z.G.Yao Y.M.Ye L.Q.Yin N.Yin X.H.You Z.Y.You Y.H.Yu Q.Yuan H.Yue H.D.Zeng T.X.Zeng W.Zeng M.Zha B.B.Zhang F.Zhang H.M.Zhang H.Y.Zhang J.L.Zhang L.X.Zhang Li Zhang P.F.Zhang P.P.Zhang R.Zhang S.B.Zh Key Laboratory of Particle Astrophysics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049China University of Chinese Academy of Sciences Beijing100049China TIANFU Cosmic Ray Research Center ChengduSichuanChina Dublin Institute for Advanced Studies 31 Fitzwilliam Place2 DublinIreland Max-Planck-Institute for Nuclear Physics 69029Heidelberg103980Germany State Key Laboratory of Particle Detection and Electronics BeijingChina University of Science and Technology of China Hefei230026AnhuiChina School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu610031SichuanChina School of Astronomy and Space Science Nanjing UniversityNanjing210023JiangsuChina Center for Astrophysics Guangzhou UniversityGuangzhou510006GuangdongChina Hebei Normal University Shijiazhuang050024HebeiChina Key Laboratory of Dark Matter and Space Astronomy&Key Laboratory of Radio Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023JiangsuChina Tsung-Dao Lee Institute&School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China School of Physics and Astronomy(Zhuhai)&School of Physics(Guangzhou)&Sino-French Institute of Nuclear Engineering and Technology(Zhuhai) Sun Yat-sen UniversityGuangzhouZhuhai 510275519000GuangdongChina School of Physics and Astronomy Yunnan UniversityKunming 650091YunnanChina Institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237ShandongChina APC UniversitéParis CitéCNRS/IN2P3CEA/IRFUObservatoire de ParisParis 11975205France Department of Engineering Phys

KM2A is one of the main sub-arrays of LHAASO,working on gamma ray astronomy and cosmic ray physics at energies above 10 *** simulation is the important foundation for estimating detector performance and data *** is a big challenge to simulate the KM2A detector in the framework of Geant4 due to the need to track numerous photons from a large number of detector units(>6000)with large altitude difference(30)and huge coverage(1.3).In this paper,the design of the KM2A simulation code G4KM2A based on Geant4 is *** process of G4KM2A is optimized mainly in memory consumption to avoid memory *** simplifications are used to significantly speed up the execution of *** running time is reduced by at least 30 times compared to full detector *** particle distributions and the core/angle resolution comparison between simulation and experimental data of the full KM2A array are also presented,which show good agreement.

关键词： LHAASO KM2A Simulation GEANT4