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Segmentation of Hematoxylin-Eosin stained breast cancer histopathological images based on pixel-wise SVM classifier

science China(Information sciences) 2015年第9期58卷 56-68页

作者： QU AiPing CHEN JiaMei WANG LinWei YUAN JingPing YANG Fang XIANG QingMing MASKEY Ninu YANG GuiFang LIU Juan LI Yan State Key Laboratory of Software Engineering School of Computer Wuhan University Center of High Performance Computing Huaihua University Department of Oncology Zhongnan Hospital of Wuhan University Hubei Key Laboratory of Tumor Biological Behaviors & Hubei Cancer Clinical Study Center Department of Pathology Zhongnan Hospital of Wuhan University

Hematoxylin-Eosin(HE) staining is the routine diagnostic method for breast cancer(BC), and large amounts of HE stained histopathological images are available for analysis. It is emergent to develop computational methods to efficiently and objectively analyze these images, with the aim of providing potentially better diagnostic and prognostic information for BC. This work focuses on analyzing our in-house HE stained histopathological images of breast cancer tissues. Since tumor nests(TNs) and stroma morphological characteristics can reflect the biological behaviors of breast invasive ductal carcinoma(IDC), accurate segmentation of TNs and the stroma is the first step towards the subsequent quantitative analysis. We first propose a method based on the pixel-wise support vector machine(SVM) classifier for segmenting TNs and the stroma, then extract four morphological characters related to the TNs from the images and investigate their relationships with the patients’ 8-year disease free survival(8-DFS). The evaluation result shows that the classification based segmentation method is able to distinguish between TNs and stroma with 87.1% accuracy and 80.2% precision,suggesting that the proposed method is promising in segmenting HE stained IDC histopathological images. The Kaplan-Meier survival curves show that three morphological characters(number of TNs, total perimeter, and average area of TNs) in the images have statistical correlations with 8-DFS of the patients, illustrating that the segmented images can help to identify new morphological factors in IDC TNs for the prediction of BC prognosis.

关键词： breast cancer histopathology images segmentation image analysis support vector machine survival analysis

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Optimizing System Call Latency of ARM Virtual Machines

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Journal of Physics: Conference Series 2017年第1期787卷

作者： Song-Woo Sok Young-Woo Jung Cheol-Hun Lee High-Performance Computing Dept Electronics and Telecommunications Research Institute 218 Gajeong-ro Yuseong-gu Daejeon 34129 Korea Department of Computer Science & Engineering Chungnam National University 99 Daehak-ro Yuseong-gu Daejeon 34134 Korea

This paper introduces ViMo-S, a type 1 hypervisor for ARMv7 and ARMv8-based ARM server systems. It supports full virtualization to run existing operating systems and applications unmodified. It uses ARM hardware virtualization extensions to optimize the performance of virtual machines, especially system call latency. Therefore, its virtual machines' system call latency is near physical machine's, while other hypervisors like Xen and KVM show relatively slower and unstable performances in benchmark tests.

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An optimized BFS algorithm: A path to load balancing in MIC

An optimized BFS algorithm: A path to load balancing in MIC

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IEEE International Conference on computer and Communications, ICCC 2015

作者： Wang, Chenxu Lu, Yutong Zhang, Baida Gao, Tao Cheng, Peng Department of Computer Science and Technology National University of Defense Technology Changsha China State Key Laboratory of High Performance Computing China

ISBN: (纸本)9781467381253

Graph traversal is a widely used algorithm in a variety of fields, including social networks, business analytics, and high-performance computing and so on. Graph traversal on single nodes has been well studied and optimized on modern CPU architectures. Now, heterogeneous computing is becoming more and more popular and CPU+MIC is a typical heterogeneous architectures. The Intel MIC (Many Integrated Core) has up to 57 cores and hasn't been fully evaluated for graph traversal. When use a MIC to traverse a graph, the MIC may suffer from loading imbalance for the reason that the degree of vertexes in a graph may differs very much, which can degrade system performance. So in this paper, an algorithmic design and optimization techniques are presented to load balancing in MIC. About the optimization design, the main idea is that treat the vertexes with big degree and the vertexes with small degree separately. For this reason, some adjustments will be made to existing algorithms and data structures. It has achieved almost big performance improvements over the BFS algorithm without loading balancing in MIC as shown in section VI. We believe that this novel algorithm can be successfully applied to a broader class of graph algorithms with many MIC cores. © 2015 IEEE.

关键词： Network architecture

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Adapting Memory Hierarchies for Emerging Datacenter Interconnects

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Journal of computer science & Technology 2015年第1期30卷 97-109页

作者：江涛侯锐董建波柴琳 Sally A. McKee 田斌张立新孙凝晖 State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Computer Science and Engineering Chalmers University of Technology Gothenburg 41296 Sweden National High Performance Integrated Circuit Design Center (Shanghai) Shanghai 201204 China

Efficient resource utilization requires that emerging datacenter interconnects support both high performance communication and efficient remote resource sharing. These goals require that the network be more tightly coupled with the CPU chips. Designing a new interconnection technology thus requires considering not only the interconnection itself, but also the design of the processors that will rely on it. In this paper, we study memory hierarchy implications for the design of high-speed datacenter interconnects particularly as they affect remote memory access -- and we use PCIe as the vehicle for our investigations. To that end, we build three complementary platforms： a PCIe-interconnected prototype server with which we measure and analyze current bottlenecks; a software simulator that lets us model microarchitectural and cache hierarchy changes; and an FPGA prototype system with a streamlined switchless customized protocol Thunder with which we study hardware optimizations outside the processor. We highlight several architectural modifications to better support remote memory access and communication, and quantify their impact and ]imitations.

关键词： high-speed interconnect memory hierarchy time shared memory datacenter network

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Theoretical analysis for conversion efficiency of laser generation of acoustic waves in liquid

Theoretical analysis for conversion efficiency of laser gene...

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International Conference on Numerical Simulation of Optoelectronic Devices, (NUSOD)

作者： Qiushi Li Xiaomeng Zhao Shaoliang Fang Funian Liang Zhe Chen Equipment Department of Guangzhou Military Area Command Guangzhou China Guangdong Science & Technology Infrastructure Center Guangzhou China Guangdong Provincial Key Laboratory of High Performance Computing Guangzhou China Department of Optoelectronic Engineering Jinan University Guangzhou China

ISBN: (纸本)9781467386043

In order to implement laser generation of acoustic waves in liquid efficiently, the optical-acoustic conversion efficiency was calculated and its influenced factors were analyzed, such as, time-domain power distribution, peak power density and pulse width of laser, and optical absorption coefficient of fluid medium. The theoretical analysis shows that: the larger the peak power density is, the larger the conversion efficiency will be; The growth rate of conversion efficiency of Gaussian pulse laser generation of acoustic waves is the largest; With the increasing of optical absorption coefficient or pulse width, the optical-acoustic conversion efficiency can reach a maximum value; Under the same conditions, comparing with triangle and Gaussian laser pulse, the optical-acoustic conversion efficiency is the largest when the power distribution of pulse laser is sinusoid function waveform.

关键词： Laser theory Optical pulses Power lasers Liquids Acoustic waves Power distribution Absorption

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On n-Coherent Rings and （n, d）-Injective Modules

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Algebra Colloquium 2015年第2期22卷 349-360页

作者： Dongdong Zhang Baiyu Ouyang Department of Mathematics Zhejiang Normal University Jinhua Zhejiang 321004 China Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China) College of Mathematics and Computer Science Hunan Normal University Changsha Hunan 410081 China

Let R be a ring, n, d be fixed non-negative integers, Jn,d the class of （n, d）- injective left R-modules, and Fn,d the class of （n, d）-flat right R-modules. In this paper, we prove that if R is a left n-coherent ring and m ≥ 2, then gl-right-Jn,a-dimRM ≤ m if and only if gl-left-Jn,d-dimRM ≤ m -- 2, if and only if Extm＋k（M, N） = 0 for all left R-modules M, N and all k 〉 -1, if and only if Extm-l（M, N） = 0 for all left R-modules M, N. Meanwhile, we prove that if R is a left n-coherent ring, then - - is right balanced on MR ×RM by Fn,d × Jn,d, and investigate the global right Jn,d-dimension of RM and the global right Fn,d-dimension of MR by right derived functors of - -. Some known results are obtained as corollaries.

关键词：（n d）-injective left R-module （n d）-flat right R-module left n-coherent ring

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Comment on 'Inherent security of phase coding quantum key distribution systems against detector blinding attacks' (2018 Laser Phys. Lett. 15 095203)

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Laser Physics Letters 2018年第1期16卷

作者： Aleksey Fedorov Ilja Gerhardt Anqi Huang Jonathan Jogenfors Yury Kurochkin Antía Lamas-Linares Jan-Åke Larsson Gerd Leuchs Lars Lydersen Vadim Makarov Johannes Skaar Russian Quantum Center Skolkovo Moscow 143025 Russia QRate Skolkovo Moscow 143025 Russia QApp Skolkovo Moscow 143025 Russia Institute of Physics University of Stuttgart and Institute for Quantum Science and Technology Pfaffenwaldring 57 D-70569 Stuttgart Germany Max Planck Institute for Solid State Research Heisenbergstraße 1 D-70569 Stuttgart Germany Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073 People's Republic of China Department of Electrical Engineering Linköping University SE-58183 Linköping Sweden Texas Advanced Computing Center The University of Texas at Austin Austin Texas United States of America Max Planck Institute for the Science of Light and University of Erlangen-Nürnberg D-91058 Erlangen Germany Kringsjåvegen 3E NO-7032 Trondheim Norway National University of Science and Technology MISIS Moscow 119049 Russia Department of Technology Systems University of Oslo Box 70 NO-2027 Kjeller Norway

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Pressure-induced Superconductivity in the three-component fermion topological semimetal molybdenum phosphide

arXiv

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arXiv 2017年

作者： Chi, Zhenhua Chen, Xuliang An, Chao Yang, Liuxiang Zhao, Jinggeng Feng, Zili Zhou, Yonghui Zhou, Ying Gu, Chuanchuan Zhang, Bowen Yuan, Yifang Kenney-Benson, Curtis Yang, Wenge Wu, Gang Wan, Xiangang Shi, Youguo Yang, Xiaoping Yang, Zhaorong Key Laboratory of Materials Physics Institute of Solid State Physics Chinese Academy of Sciences Hefei230031 China Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory Chinese Academy of Sciences Hefei230031 China University of Science and Technology of China Hefei230026 China Beijing100094 China Department of Physics Harbin Institute of Technology Harbin150080 China Natural Science Research Center Academy of Fundamental and Interdisciplinary Sciences Harbin Institute of Technology Harbin150080 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100190 China Department of Physics and Engineering Zhengzhou University Zhengzhou450052 China HPCAT Geophysical Laboratory Carnegie Institution of Washington ArgonneIL60439 United States Shanghai201203 China Institute of High Performance Computing 1 Fusionopolis Way 16-16 Connexis Singapore138632 Singapore National Laboratory of Solid State Microstructures College of Physics Nanjing University Nanjing210093 China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China

Topological semimetal, a novel state of quantum matter hosting exotic emergent quantum phenomena dictated by the non-trivial band topology, has emerged as a new frontier in condensed-matter physics. Very recently, a coexistence of triply degenerate points of band crossing and Weyl points near the Fermi level was theoretically predicted and immediately experimentally verified in single crystalline molybdenum phosphide (MoP). Here we show in this material the high-pressure electronic transport and synchrotron X-ray diffraction (XRD) measurements, combined with density functional theory (DFT) calculations. We report the emergence of pressure-induced superconductivity in MoP with a critical temperature Tc of about 2 K at 27.6 GPa, rising to 3.7 K at the highest pressure of 95.0 GPa studied. No structural phase transitions is detected up to 60.6 GPa from the XRD. Meanwhile, the Weyl points and triply degenerate points topologically protected by the crystal symmetry are retained at high pressure as revealed by our DFT calculations. The coexistence of three-component fermion and superconductivity in heavily pressurized MoP offers an excellent platform to study the interplay between topological phase of matter and superconductivity. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum theory

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Search for Gravitational Waves Emitted from SN 2023ixf

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The Astrophysical Journal 2025年第2期985卷 183-183页

作者： A. G. Abac R. Abbott I. Abouelfettouh F. Acernese K. Ackley S. Adhicary N. Adhikari R. X. Adhikari V. K. Adkins D. Agarwal M. Agathos M. Aghaei Abchouyeh O. D. Aguiar I. Aguilar L. Aiello A. Ain T. Akutsu S. Albanesi R. A. Alfaidi A. Al-Jodah C. Alléné A. Allocca S. Al-Shammari P. A. Altin S. Alvarez-Lopez A. Amato L. Amez-Droz A. Amorosi C. Amra A. Ananyeva S. B. Anderson W. G. Anderson M. Andia M. Ando T. Andrade N. Andres M. Andrés-Carcasona T. Andrić J. Anglin S. Ansoldi J. M. Antelis S. Antier M. Aoumi E. Z. Appavuravther S. Appert S. K. Apple K. Arai A. Araya M. C. Araya J. S. Areeda L. Argianas N. Aritomi F. Armato N. Arnaud M. Arogeti S. M. Aronson G. Ashton Y. Aso M. Assiduo S. Assis de Souza Melo S. M. Aston P. Astone F. Attadio F. Aubin K. AultONeal G. Avallone S. Babak F. Badaracco C. Badger S. Bae S. Bagnasco E. Bagui J. G. Baier L. Baiotti R. Bajpai T. Baka M. Ball G. Ballardin S. W. Ballmer S. Banagiri B. Banerjee D. Bankar P. Baral J. C. Barayoga B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta A. M. Bartoletti M. A. Barton I. Bartos S. Basak A. Basalaev R. Bassiri A. Basti D. E. Bates M. Bawaj P. Baxi J. C. Bayley A. C. Baylor P. A. Baynard II M. Bazzan V. M. Bedakihale F. Beirnaert M. Bejger D. Belardinelli A. S. Bell V. Benedetto W. Benoit J. D. Bentley M. Ben Yaala S. Bera M. Berbel F. Bergamin B. K. Berger S. Bernuzzi M. Beroiz D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge N. Bevins R. Bhandare U. Bhardwaj R. Bhatt D. Bhattacharjee S. Bhaumik S. Bhowmick A. Bianchi I. A. Bilenko G. Billingsley A. Binetti S. Bini O. Birnholtz S. Biscoveanu A. Bisht M. Bitossi M.-A. Bizouard J. K. Blackburn L. A. Blagg C. D. Blair D. G. Blair F. Bobba N. Bode G. Boileau M. Boldrini G. N. Bolingbroke A. Bolliand L. D. Bonavena R. Bondarescu F. Bondu E. Bonilla M. S. Bonilla A. Bonino R. Bonnand P. Booker A. Borchers V. Boschi S. Bose V. Bossilkov V. Boudart A. Boudon A. Bozzi C. Bradaschia P. R. Brady M. Braglia A. Branch M. Branchesi J. Brandt I. Braun M. Breschi T. B Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-14476 Potsdam Germany LIGO Laboratory California Institute of Technology Pasadena CA 91125 USA LIGO Hanford Observatory Richland WA 99352 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli I-80126 Napoli Italy University of Warwick Coventry CV4 7AL UK The Pennsylvania State University University Park PA 16802 USA University of Wisconsin-Milwaukee Milwaukee WI 53201 USA Louisiana State University Baton Rouge LA 70803 USA Université catholique de Louvain B-1348 Louvain-la-Neuve Belgium Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Queen Mary University of London London E1 4NS UK Department of Physics and Astronomy Sejong University 209 Neungdong-ro Gwangjin-gu Seoul 143-747 Republic of Korea Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Stanford University Stanford CA 94305 USA Università di Roma Tor Vergata I-00133 Roma Italy INFN Sezione di Roma Tor Vergata I-00133 Roma Italy Cardiff University Cardiff CF24 3AA UK Universiteit Antwerpen 2000 Antwerpen Belgium Gravitational Wave Science Project National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan INFN Sezione di Torino I-10125 Torino Italy Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany Dipartimento di Fisica Università degli Studi di Torino I-10125 Torino Italy SUPA University of Glasgow Glasgow G12 8QQ UK OzGrav University of Western Australia Crawley Western Australia 6009 Australia University Savoie Mont Blanc CNRS Laboratoire d’Annecy de Physique des Particules - IN2P3 F-74000 Annecy France Università di Napoli “Federico II ” I-80126 Napoli Italy OzGrav Australian National University C

We present the results of a search for gravitational-wave transients associated with core-collapse supernova SN 2023ixf, which was observed in the galaxy Messier 101 via optical emission on 2023 May 19, during the LIGO–Virgo–KAGRA 15th engineering Run. We define a five-day on-source window during which an accompanying gravitational-wave signal may have occurred. No gravitational waves have been identified in data when at least two gravitational-wave observatories were operating, which covered ∼14% of this five-day window. We report the search detection efficiency for various possible gravitational-wave emission models. Considering the distance to M101 (6.7 Mpc), we derive constraints on the gravitational-wave emission mechanism of core-collapse supernovae across a broad frequency spectrum, ranging from 50 Hz to 2 kHz, where we assume the gravitational-wave emission occurred when coincident data are available in the on-source window. Considering an ellipsoid model for a rotating proto-neutron star, our search is sensitive to gravitational-wave energy 1 × 10⁻⁴ M_⊙c² and luminosity 2.6 × 10⁻⁴ M_⊙c² s⁻¹ for a source emitting at 82 Hz. These constraints are around an order of magnitude more stringent than those obtained so far with gravitational-wave data. The constraint on the ellipticity of the proto-neutron star that is formed is as low as 1.08, at frequencies above 1200 Hz, surpassing past results.

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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