检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Ai, Linfeng Zhang, Enze Huang, Ce Xie, Xiaoyi Yang, Yunkun Jia, Zehao Zhang, Yuda Liu, Shanshan Li, Zihan Leng, Pengliang Sun, Xingdan Kou, Xufeng Han, Zheng Xiu, Faxian State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences Shenyang110016 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China Shanghai Research Center for Quantum Sciences Shanghai201315 China

Superconductor-ferromagnet (S-F) interfaces in two-dimensional (2D) heterostructures present a unique opportunity to study the interplay between superconductivity and ferromagnetism. The realization of such nanoscale heterostructures in van der Waals (vdW) crystals remains largely unexplored due to the challenge of making an atomically-sharp interface from their layered structures. Here, we build a vdW ferromagnetic Josephson junction (JJ) by inserting a few-layer ferromagnetic insulator Cr2Ge2Te6 into two layers of superconductor NbSe2. Owing to the remanent magnetic moment of the barrier, the critical current and the corresponding junction resistance exhibit a hysteretic and oscillatory behavior against in-plane magnetic fields, manifesting itself as a strong Josephson coupling state. Through the control of this hysteresis, we can effectively trace the magnetic properties of atomic Cr2Ge2Te6 in response to the external magnetic field. Also, we observe a central minimum of critical current in some thick JJ devices, evidencing the coexistence of 0 and π phase coupling in the junction region. Our study paves the way to exploring the sensitive probes of weak magnetism and multifunctional building blocks for phase-related superconducting circuits with the use of vdW heterostructures. © 2021, CC BY.

关键词： Van der Waals forces

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Self-Supervised Rotation Learning for 3D Segmentation on Nasopharyngeal Carcinoma MRI Images

Self-Supervised Rotation Learning for 3D Segmentation on Nas...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Changtai Li Ruohui Jiang Shihua Yin Jinzhu Yang Xiaojuan Ban Beijing Advanced Innovation Center for Materials Genome Engineering School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Second Affiliated Hospital of Guangxi Medical University Nanning China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang China

Segmenting the tumors of nasopharyngeal carcinoma (NPC) in Magnetic Resonance Imaging (MRI) images is critical for its diagnosis and treatment. In medical image segmentation, it is vital to exploit the rich information contained in 3D sliced images. However, the precise identification and location of lesion regions often require plenty of labels. To alleviate this situation, in this article, we propose 3DRotNPC, a framework based on a tailored Self-Supervised Learning (SSL) strategy, to accurately segment tumor regions for NPC under the circumstance of label limitation. To learn the rich 3D spatial and geometric nature of MRI images in a Self-Supervised way, the proxy task of randomly selecting and rotating images in consecutively sliced data is designed. After the SSL pre-training stage, the learned parameters of the Convolutional Neural Networks (CNNs) based model are transferred to adapt the downstream segmentation task. We verify the capability of 3DRotNPC on the NPC tumor dataset which is collected and curated from the clinical treatment in the representative hospital. Extensive experiments demonstrate that our approach delivers considerable gains in downstream 3D voxel segmentation, especially with a 10% to 50% number of labels.

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Clusterization transition between cluster Mott insulators on a breathing Kagomé lattice

arXiv

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arXiv 2020年

作者： Yao, Xu-Ping Zhang, Xiao-Tian Kim, Yong Baek Wang, Xiaoqun Chen, Gang Department of Physics HKU-UCAS Joint Institute for Theoretical and Computational Physics at Hong Kong University of Hong Kong Hong Kong Department of Physics University of Toronto ONM5S 1A7 Canada School of Physics and Astronomy Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Artificial Structures and Quantum Control of MOE Shenyang National Laboratory for Materials Science Shenyang110016 China State Key Laboratory of Surface Physics Department of Physics Institute of Nanoelectronics and Quantum Computing Fudan University Shanghai200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China Institute of Nanoelectronics and Quantum Computing Fudan University Shanghai200433 China

Motivated by recent experimental progress on various cluster Mott insulators, we study an extended Hubbard model on a breathing Kagomé lattice with a single electron orbital and 1/6 electron filling. Two distinct types of cluster localization are found in the cluster Mott regime due to the presence of the electron repulsion between neighboring sites, rather than from the on-site Hubbard interaction in the conventional Mott insulators. We introduce a unified parton construction framework to accommodate both type of cluster Mott insulating phase as well as a trivial Ferm liquid metal and discuss the phase transitions in the phase diagram. It is shown that, in one of the cluster localization phases, the strong inter-site repulsion results into locally metallic behavior within one of two triangular clusters on the breathing Kagomé lattice. We further comment on experimental relevance to existing Mo-based cluster magnets. Copyright © 2020, The Authors. All rights reserved.

关键词： Mott insulators

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Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

arXiv

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arXiv 2021年

作者： Zheng, Yizhen Jin, Ming Pan, Shirui Li, Yuan-Fang Peng, Hao Li, Ming Li, Zhao Department of Data Science and AI Faculty of IT Monash University ClaytonVIC3800 Australia School of Information and Communication Technology Griffith University Australia SouthportQLD4222 Australia Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Key Laboratory of Intelligent Education Technology Application of Zhejiang Province Zhejiang Normal University Jinhua321004 China Alibaba Group Hangzhou311100 China

Graph representation learning (GRL) is critical for graph-structured data analysis. However, most of the existing graph neural networks (GNNs) heavily rely on labeling information, which is normally expensive to obtain in the real world. Although some existing works aim to effectively learn graph representations in an unsupervised manner, they suffer from certain limitations, such as the heavy reliance on monotone contrastiveness and limited scalability. To overcome the aforementioned problems, in light of the recent advancements in graph contrastive learning, we introduce a novel self-supervised graph representation learning algorithm via Graph Contrastive Adjusted Zooming, namely G-Zoom, to learn node representations by leveraging the proposed adjusted zooming scheme. Specifically, this mechanism enables G-Zoom to explore and extract self-supervision signals from a graph from multiple scales: micro (i.e., node-level), meso (i.e., neighborhood-level), and macro (i.e., subgraph-level). Firstly, we generate two augmented views of the input graph via two different graph augmentations. Then, we establish three different contrastiveness on the above three scales progressively, from node, neighboring, to subgraph level, where we maximize the agreement between graph representations across scales. While we can extract valuable clues from a given graph on the micro and macro perspectives, the neighboring-level contrastiveness offers G-Zoom the capability of a customizable option based on our adjusted zooming scheme to manually choose an optimal viewpoint that lies between the micro and macro perspectives to better understand the graph data. Additionally, to make our model scalable to large graphs, we employ a parallel graph diffusion approach to decouple model training from the graph size. We have conducted extensive experiments on real-world datasets, and the results demonstrate that our proposed model outperforms state-of-the-art methods consistently. © 2021, CC BY.

关键词： Graph neural networks

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Nonmonotonic crossover in electronic phase separated manganite superlattices driven by the superlattice period

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Physical Review B 2020年第23期102卷 235107-235107页

作者： Yinyan Zhu Biying Ye Qiang Li Hao Liu Tian Miao Lijun Wu Lei Li Lingfang Lin Yi Zhu Zhe Zhang Qian Shi Yulong Yang Kai Du Yu Bai Yang Yu Hangwen Guo Wenbin Wang Xiaoshan Xu Xiaoshan Wu Zhicheng Zhong Shuai Dong Yimei Zhu Elbio Dagotto Lifeng Yin Jian Shen State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Institute for Nanoelectronics Devices and Quantum Computing Fudan University Shanghai 200433 China Condensed Matter Physics and Materials Science Department Brookhaven National Laboratory Upton New York 11973 USA Key Laboratory of Magnetic Materials and Devices and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo 315201 China School of Physics Southeast University Nanjing 211189 China Department of Physics Nanjing University Nanjing 211189 China Department of Physics and Astronomy University of Nebraska–Lincoln Lincoln Nebraska 68588 USA Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996 USA and Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China and Shanghai Qi Zhi Institute Shanghai 200232 China

Studying manganite superlattices [(LCMO)2n/(PCMO)n]t made of La0.625Ca0.375MnO3 (LCMO) and Pr0.625Ca0.375MnO3 (PCMO), we found an unexpected behavior varying the period n. At small n, the ensemble is a three-dimensional ferromagnetic metal due to interfacial charge transfer. At large n, the LCMO layers dominate transport. However, rather than a smooth interpolation between these limits a sharp transport and magnetic anomaly is found at an intermediate critical PCMO thickness n*. Magnetic force microscopy reveals that the phase-separation length scale also maximizes at n* where, unexpectedly, it becomes comparable to that of the (La1–yPry)0.625Ca0.375MnO3 (LPCMO) alloy. We conjecture the phenomenon originates in a disorder-related length scale: Large charge-ordered clusters as in LPCMO can only nucleate when Pr-rich regions reach a critical size related to n*.

关键词： Electrical conductivity Magnetic phase transitions Magnetic multilayers Strongly correlated systems Magnetic force microscopy

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Anomalous contribution to the nematic electronic states from the structural transition in FeSe revealed by time- and angle-resolved photoemission spectroscopy

arXiv

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arXiv 2022年

作者： Yang, Yuanyuan Wang, Qisi Duan, Shaofeng Wo, Hongliang Huang, Chaozhi Wang, Shichong Gu, Lingxiao Xiang, Dao Qian, Dong Zhao, Jun Zhang, Wentao Shenyang National Laboratory for Materials Science School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China Institute of Nanoelectronics and Quantum Computing Fudan University Shanghai200433 China

High-resolution time- and angle-resolved photoemission measurements were made on FeSe superconductors. With ultrafast photoexcitation, two critical excitation fluences that correspond to two ultrafast electronic phase transitions were found only in the dyz-orbit-derived band near the Brillouin-zone center within our time and energy resolution. Upon comparison to the detailed temperature dependent measurements, we conclude that there are two equilibrium electronic phase transitions (at approximately 90 and 120 K) above the superconducting transition temperature, and an anomalous contribution on the scale of 10 meV to the nematic states from the structural transition is experimentally determined. Our observations strongly suggest that the electronic phase transition at 120 K must be taken into account in the energy band development of FeSe, and, furthermore, the contribution of the structural transition plays an important role in the nematic phase of iron-based high-temperature superconductors. Copyright © 2022, The Authors. All rights reserved.

关键词： Selenium compounds

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Research on the Current State of Privacy Risks in Children’s Mobile applications

Research on the Current State of Privacy Risks in Children’...

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Computer Technology and Information Science (ISCTIS), International Symposium on

作者： Xinrui Geng Tao Liu Chong Shang Jianxiang Chen Yueran Lu Yan Zhang Lifeng Wang School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University Suzhou China Key Laboratory of Mobile Application Innovation and Governance Technology MIIT Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Agricultural Engineering Shanxi Agricultural University China School of Software Engineering Tianjin Normal University Tianjin China Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences Beijing China Shandong Yeda Smart City Operation Technology Co. Ltd. Shandong China

ISBN: (数字)9798350354560

ISBN: (纸本)9798350354577

In the digital age, children increasingly access a vast world of information through mobile applications. Despite global regulations and protective measures by app stores, privacy breaches in these apps persist. This study investigates privacy issues and threats in children’s mobile applications by comparing APKs and legal provisions across different countries. It examines 70 representative children’s apps from China, Europe, the U.S., and Japan through static code analysis and dynamic runtime testing. Using a mixed-methods approach, the research identifies integrated third-party services, data transmission protocols, permission requests, and conducts code audits to assess privacy compliance. It also simulates real usage scenarios to track data flow and detect unauthorized data collection and sharing practices. Furthermore, the study compares national privacy laws, focusing on data minimization, parental consent mechanisms, data encryption, and storage duration regulations. The goal is to provide empirical evidence and recommendations for optimizing global children’s online privacy protection policies.

关键词： Pediatrics Data privacy Codes Law Europe Privacy breach Regulation Mobile applications Protection Testing

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Fractional Modeling and Dynamic Analysis of Two Kinds of Viscoelastic Thin Plates with Gaussian White Noise

SSRN

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SSRN 2023年

作者： Deng, Jinna Liu, Qiumei Yang, Aimin Chen, Yiming College of Science North China University of Science and Technology Tangshan063210 China Hebei Key Laboratory of Data Science and Application North China University of Science and Technology Tangshan063210 China The Key Laboratory of Engineering Computing in Tangshan City North China University of Science and Technology Tangshan063210 China Tangshan Intelligent Industry and Image Processing Technology Innovation Center North China University of Science and Technology Tangshan063210 China Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes North China University of Science and Technology Tangshan063210 China School of Science Yanshan University Qinhuangdao066004 China LE STUDIUM Loire Valley Institute for Advanced Studies Orléans & Tours Orléans45000 France

According to fractional order model, the governing equation of viscoelastic plate is established. Using the properties of the shifted Bernstein polynomials, the fractional order equation of viscoelastic plate is resolved, the conversion of fractional differential equations to algebraic equations, and operator matrices represented by Kronecker products are solved in the domain. The convergence study validates the algorithm's efficacy and precision in solving differential equations. The displacement of viscoelastic metal thin plate under different external loads (uniform distribution and linear distribution), the effect of white Gaussian noise on the thin metal plate displacement, the effect of different boundary conditions on thin metal plate displacement under harmonic load are studied, the displacements of metal and polymer plates under different loads are contrasted and stress and strain relationship of two kinds of plates are discussed. Based on the outcomes, it can be concluded that the shift Bernstein polynomial approach is useful for numerically simulating viscoelastic plates. © 2023, The Authors. All rights reserved.

关键词： Gaussian noise (electronic)

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Correction to: A method of VR‑EEG scene cognitive rehabilitation training

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Health information science and systems 2021年第1期9卷 7页

作者： Wenjun Tan Yang Xu Pan Liu Chunyan Liu Yujin Li Yanrui Du Chao Chen Yuping Wang Yanchun Zhang Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang 110189 China. Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou 510006 China. Department of Neurology Xuanwu Hospital Capital Medical University Beijing 100053 China. Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin 300384 China. Institute for Sustainable Industries and Liveable Cities Victoria University Melbourne VIC 8001 Australia.

[This corrects the article DOI: 10.1007/s13755-020-00132-6.].

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Tunable ferromagnetism at non-integer filling of a moiré superlattice

arXiv

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arXiv 2020年

作者： Chen, Guorui Sharpe, Aaron L. Fox, Eli J. Wang, Shaoxin Lyu, Bosai Jiang, Lili Li, Hongyuan Watanabe, Kenji Taniguchi, Takashi Crommie, Michael F. Kastner, M.A. Shi, Zhiwen Goldhaber-Gordon, David Zhang, Yuanbo Wang, Feng Department of Physics University of California at Berkeley BerkeleyCA94720 United States Department of Applied Physics Stanford University StanfordCA94305 United States Stanford Institute for Materials and Energy Sciences SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Department of Physics Stanford University StanfordCA94305 United States Shenyang National Laboratory for Materials Science School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Collaborative Innovation Center of Advanced Microstructures NanjingJiangsu210093 China Materials Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Research Center for Functional Materials National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan International Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Kavli Energy NanoSciences Institute The University of California Berkeley The Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China

The flat bands resulting from moirésuperlattices in magic-angle twisted bilayer graphene (MATBG) and ABC-trilayer graphene aligned with hexagonal boron nitride (ABC-TLG/hBN) have been shown to give rise to fascinating correlated electron phenomena such as correlated insulators(1, 2) and superconductivity(3, 4). More recently, orbital magnetism associated with correlated Chern insulators was found in this class of layered structures centered at integer multiples of n0, the density corresponding to one electron per moirésuperlattice unit cell(5–7). Here we report the experimental observation of ferromagnetism at fractional filling of a flat Chern band in an ABC-TLG/hBN moirésuperlattice. The ferromagnetic state exhibits prominent ferromagnetic hysteresis behavior with large anomalous Hall resistivity in a broad region of densities, centered in the valence miniband at n = -2.3 n0. This ferromagnetism depends very sensitively on the control parameters in the moirésystem: not only the magnitude of the anomalous Hall signal, but also the sign of the hysteretic ferromagnetic response can be modulated by tuning the carrier density and displacement field. Our discovery of electrically tunable ferromagnetism in a moiréChern band at non-integer filling highlights the opportunities for exploring new correlated ferromagnetic states in moiré heterostructures. Copyright © 2020, The Authors. All rights reserved.

关键词： Ferromagnetism

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