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IEEE International Conference on Systems Biology

作者： Xionghui Zhou Juan Liu Changning Liu Simon Rayner Fengji Liang Jingfang Ju Yinghui Li Shanguang Chen Jianghui Xiong School of Computer Science Wuhan University Wuhan China Bioinformatics Research Group Key Laboratory of Intelligent Information Processing Advanced Computing Research Laboratory Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China Bioinformatics Group State Key Laboratory of Virology Wuhan Institute of Virology Chinese Academy of Sciences (CAS) Wuhan China Bioinformatics Group and Data Coordination Center State Key Laboratory of Space Medicine Fundamentals and Application China Astronaut Research and Training Center Beijing China Department of Pathology Stony Brook University Medical Center New York USA

MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelled in the context of various diseases. Here we examine the dynamic alteration of context-specific miRNA regulation to determine whether modified microRNAs regulation on specific biological processes is a useful information source for predicting cancer prognosis. A new concept, Context-specific miRNA activity (CoMi activity) is introduced to describe the statistical difference between the expression level of a miRNA's target genes and non-targets genes within a given gene set (context).

关键词： Breast cancer Context Correlation Biological processes Metastasis Tumors

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Strong Security Enabled Certificateless Aggregate Signatures Applicable to Mobile Computation

Strong Security Enabled Certificateless Aggregate Signatures...

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International Conference on Intelligent Networking and Collaborative Systems (INCOS)

作者： Hu Xiong Qianhong Wu Zhong Chen Key Laboratory of Network and Software Security Assurance of the Ministry of Education Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing China Department of Computer Engineering and Mathematics UNESCO Chair in Data Pr Universitat Rovira i Virgili Tarragona Spain Key Laboratory of AeroSpace Information Security and Trusted Computing Ministry of Education School of Computer Wuhan University of China China

An aggregate signature scheme allows a public algorithm to aggregate n signatures of n distinct messages from n signers into a single signature. By validating the single resulting signature, one can be convinced that the messages have been endorsed by all the signers. Certificateless aggregate signatures allow the signers to authenticate messages without suffering from the complex certificate management in the traditional public key cryptography or the key escrow problem in identity-based cryptography. In this paper, we present a new efficient certificate less aggregate signature scheme. Compared with up-to-date certificate less aggregate signatures, our scheme is equipped with a number of attracting features: (1) it is shown to be secure under the standard computational Diffie-Hellman assumption in the random oracle model, (2) the security is proven in the strongest security model so far, (3) the signers do not need to be synchronized, and (4) its performance is comparable to the most efficient up-to-date schemes. These features are desirable in a mobile networking and computing environment where the storage/computation capacity of the end devices are limited, and due to the wireless connection and distributed feature, the computing devices are easy to be attacked and hard to be synchronized.

关键词： Aggregates Games Generators Synchronization Public key cryptography

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FlashCoop: A locality-aware cooperative buffer management for SSD-based storage cluster

FlashCoop: A locality-aware cooperative buffer management fo...

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International Conference on Parallel Processing

作者： Wei, Qingsong Gong, Bozhao Pathak, Suraj Tay, Y.C. Data Storage Institute Agency for Science Technology and Research Singapore Singapore School of Computing National University of Singapore Singapore Singapore

ISBN: (纸本)9780769541563

Random writes significantly limit the application of flash-based Solid State Drive (SSD) in enterprise environment due to its poor latency, negative impact on SSD lifetime and high garbage collection overhead. To release above limitations, we propose a locality-aware cooperative buffer scheme referred to as FlashCoop (Flash Cooperation), which leverages free memory of neighboring storage server to buffer writes over high speed network. Both temporal and sequential localities of access pattern are exploited in the design of cooperative buffer management. Leveraging the filtering effect of the cooperative buffer, FlashCoop can efficiently shape the I/O request stream and improve the sequentiality of the write accesses passed to the SSD. FlashCoop has been extensively evaluated under various enterprise workloads. Our benchmark results conclusively demonstrate that FlashCoop can achieve 52.3% performance improvement and 56.5% garbage collection overhead reduction compared to the system without FlashCoop. © 2010 IEEE.

关键词： HIgh speed networks

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Anisotropies in the diffuse gamma-ray background measured by the Fermi LAT

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Physical Review D 2012年第8期85卷 083007-083007页

作者： M. Ackermann M. Ajello A. Albert L. Baldini J. Ballet G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini E. D. Bloom E. Bonamente A. W. Borgland T. J. Brandt J. Bregeon M. Brigida P. Bruel R. Buehler S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo C. Cecchi E. Charles A. Chekhtman J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad A. Cuoco S. Cutini F. D’Ammando F. de Palma C. D. Dermer S. W. Digel E. do Couto e Silva P. S. Drell A. Drlica-Wagner R. Dubois C. Favuzzi S. J. Fegan E. C. Ferrara P. Fortin Y. Fukazawa P. Fusco F. Gargano D. Gasparrini S. Germani N. Giglietto M. Giroletti T. Glanzman G. Godfrey G. A. Gomez-Vargas T. Grégoire I. A. Grenier J. E. Grove S. Guiriec M. Gustafsson D. Hadasch M. Hayashida K. Hayashi X. Hou R. E. Hughes G. Jóhannesson A. S. Johnson T. Kamae J. Knödlseder M. Kuss J. Lande L. Latronico M. Lemoine-Goumard T. Linden A. M. Lionetto M. Llena Garde F. Longo F. Loparco M. N. Lovellette P. Lubrano M. N. Mazziotta J. E. McEnery W. Mitthumsiri T. Mizuno C. Monte M. E. Monzani A. Morselli I. V. Moskalenko S. Murgia M. Naumann-Godo J. P. Norris E. Nuss T. Ohsugi A. Okumura M. Orienti E. Orlando J. F. Ormes D. Paneque J. H. Panetta D. Parent V. Pavlidou M. Pesce-Rollins M. Pierbattista F. Piron G. Pivato S. Rainò R. Rando A. Reimer O. Reimer M. Roth C. Sbarra J. Schmitt C. Sgrò J. Siegal-Gaskins E. J. Siskind G. Spandre P. Spinelli A. W. Strong D. J. Suson H. Takahashi T. Tanaka J. B. Thayer L. Tibaldo M. Tinivella D. F. Torres G. Tosti E. Troja T. L. Usher J. Vandenbroucke V. Vasileiou G. Vianello V. Vitale A. P. Waite B. L. Winer K. S. Wood M. Wood Z. Yang S. Zimmer E. Komatsu Deutsches Elektronen Synchrotron DESY D-15738 Zeuthen Germany W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford California 94305 USA Department of Physics Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d’Astrophysique CEA Saclay 91191 Gif sur Yvette France Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica “G. Galilei ” Università di Padova I-35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy CNRS IRAP F-31028 Toulouse cedex 4 France GAHEC Université de Toulouse UPS-OMP IRAP Toulouse France Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Institut de Ciències de l’Espai (IEEE-CSIC) Campus UAB 08193 Barcelona Spain INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Space Science Division Naval Research Laboratory Washington D.C. 20375 USA and George Mason University Fairfax Virginia 22030 USA ASI Science Data Center I-00044 Frascati (Roma) Italy Laboratoire Univers et Particules de Montpellier Université Montpellier 2 CNRS/IN2P3 Montpellier France Department of Physics Stockholm University AlbaNova SE-106 91 Stockholm Sweden The Oskar Klein Centre for Cosmoparticle Physics AlbaNova

The contribution of unresolved sources to the diffuse gamma-ray background could induce anisotropies in this emission on small angular scales. We analyze the angular power spectrum of the diffuse emission measured by the Fermi Large Area Telescope at Galactic latitudes |b|>30° in four energy bins spanning 1–50 GeV. At multipoles ℓ≥155, corresponding to angular scales ≲2°, angular power above the photon noise level is detected at >99.99% confidence level in the 1–2 GeV, 2–5 GeV, and 5–10 GeV energy bins, and at >99% confidence level at 10–50 GeV. Within each energy bin the measured angular power takes approximately the same value at all multipoles ℓ≥155, suggesting that it originates from the contribution of one or more unclustered source populations. The amplitude of the angular power normalized to the mean intensity in each energy bin is consistent with a constant value at all energies, CP/⟨I⟩2=9.05±0.84×10−6 sr, while the energy dependence of CP is consistent with the anisotropy arising from one or more source populations with power-law photon spectra with spectral index Γs=2.40±0.07. We discuss the implications of the measured angular power for gamma-ray source populations that may provide a contribution to the diffuse gamma-ray background.

关键词： GAMMA rays ANISOTROPY DIFFUSION FERMI surfaces TELESCOPES PHOTONS NUCLEAR energy

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Fermi LAT search for dark matter in gamma-ray lines and the inclusive photon spectrum

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Physical Review D 2012年第2期86卷 022002-022002页

作者： M. Ackermann M. Ajello A. Albert L. Baldini G. Barbiellini K. Bechtol R. Bellazzini B. Berenji R. D. Blandford E. D. Bloom E. Bonamente A. W. Borgland M. Brigida R. Buehler S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo J. M. Casandjian C. Cecchi E. Charles A. Chekhtman J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad F. D’Ammando F. de Palma C. D. Dermer E. do Couto e Silva P. S. Drell A. Drlica-Wagner Y. Edmonds R. Essig C. Favuzzi S. J. Fegan W. B. Focke Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini S. Germani N. Giglietto F. Giordano M. Giroletti T. Glanzman G. Godfrey I. A. Grenier S. Guiriec M. Gustafsson D. Hadasch M. Hayashida D. Horan R. E. Hughes T. Kamae J. Knödlseder M. Kuss J. Lande A. M. Lionetto M. Llena Garde F. Longo F. Loparco M. N. Lovellette P. Lubrano M. N. Mazziotta P. F. Michelson W. Mitthumsiri T. Mizuno A. A. Moiseev C. Monte M. E. Monzani A. Morselli I. V. Moskalenko S. Murgia M. Naumann-Godo J. P. Norris E. Nuss T. Ohsugi A. Okumura E. Orlando J. F. Ormes D. Paneque J. H. Panetta M. Pesce-Rollins F. Piron G. Pivato T. A. Porter D. Prokhorov S. Rainò R. Rando M. Razzano O. Reimer M. Roth C. Sbarra J. D. Scargle C. Sgrò E. J. Siskind A. Snyder P. Spinelli D. J. Suson H. Takahashi T. Tanaka J. G. Thayer J. B. Thayer L. Tibaldo M. Tinivella D. F. Torres G. Tosti E. Troja J. Vandenbroucke V. Vasileiou G. Vianello V. Vitale A. P. Waite B. L. Winer K. S. Wood Z. Yang S. Zimmer Deutsches Elektronen Synchrotron DESY D-15738 Zeuthen Germany W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford California 94305 USA Department of Physics Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica “G. Galilei” Università di Padova I-35131 Padova Italy Institut de Ciències de l’Espai (IEEE-CSIC) Campus UAB 08193 Barcelona Spain INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d’Astrophysique CEA Saclay 91191 Gif sur Yvette France Artep Inc. 2922 Excelsior Springs Court Ellicott City Maryland 21042 USAresident at Naval Research Laboratory Washington D.C. 20375 USA ASI Science Data Center I-00044 Frascati (Roma) Italy Laboratoire Univers et Particules de Montpellier Université Montpellier 2 CNRS/IN2P3 Montpellier France Department of Physics Stockholm University AlbaNova SE-106 91 Stockholm Sweden The Oskar Klein Centre for Cosmoparticle Physics AlbaNova SE-106 91 Stockholm Sweden IASF Palermo 90146 Palermo Italy INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-00133 Roma Italy Space Science Division Naval Research Labor

Dark matter particle annihilation or decay can produce monochromatic gamma-ray lines and contribute to the diffuse gamma-ray background. Flux upper limits are presented for gamma-ray spectral lines from 7 to 200 GeV and for the diffuse gamma-ray background from 4.8 GeV to 264 GeV obtained from two years of Fermi Large Area Telescope data integrated over most of the sky. We give cross-section upper limits and decay lifetime lower limits for dark matter models that produce gamma-ray lines or contribute to the diffuse spectrum, including models proposed as explanations of the PAMELA and Fermi cosmic-ray data.

关键词： FERMI surfaces DARK matter (Astronomy) ANNIHILATION reactions RADIOACTIVE decay GAMMA ray spectrometry CROSS sections (Nuclear physics)

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On-orbit measurements of the ISS atmosphere by the vehicle cabin atmosphere monitor

On-orbit measurements of the ISS atmosphere by the vehicle c...

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41st International Conference on Environmental Systems 2011, ICES 2011

作者： Darrach, M.R. Chutjian, A. Bornstein, B.J. Croonquist, A.P. Garkanian, V. Haemmerle, V.R. Hofman, J. Heinrichs, W.M. Karmon, D. Kenny, J. Kidd, R.D. Lee, S. MacAskill, J.A. Madzunkov, S.M. Mandrake, L. Rust, T.M. Schaefer, R.T. Thomas, J.L. Toomarian, N. Jet Propulsion Laboratory California Institute of Technology Pasadena CA 91109 United States Atomic and Molecular Physics Group JPL/Caltech United States Instrument Autonomy Group JPL/Caltech United States MicroDevices Group JPL/CalTech United States Optical Communications Group JPL/Caltech United States Processing Algorithms and Calibration Engineering JPL/Caltech United States Inst System Engineering JPL/Caltech United States Instruments and Science Data Systems JPL/Caltech United States Instrument Integration and Test JPL/Caltech United States Planetary Chemistry and Astrobiology JPL/Caltech United States High Capacity Computing and Modeling JPL/Caltech United States Machine Learning and Instrument Autonomy Group JPL/Caltech United States SpaceX 1 Rocket Rd Hawthorne CA 90250 United States Advanced Computer Systems and Technology JPL/Caltech United States Advanced Instrument Concepts JPL/Caltech United States

ISBN: (纸本)9781600869488

We report on trace gas and major atmospheric constituents results obtained by the Vehicle Cabin Atmosphere Monitor (VCAM) during operations aboard the International Space Station (ISS). VCAM is an autonomous environmental monitor based on a miniature gas chromatograph/mass spectrometer. It was flown to the ISS on shuttle mission STS-131 and commenced operations on 6/10/10. VCAM provides measurements of ppb-to-ppm levels of volatile trace-gas constituents, and of the atmospheric major constituents (nitrogen, oxygen, argon, and carbon dioxide) in a space vehicle or station. It is designed to operate autonomously and maintenance-free, approximately once per day, with a self-contained gas supply sufficient for a one-year lifetime. VCAM is designed to detect and identify 90% of the target compounds at their 180-day Spacecraft Maximum Allowable Concentration levels. © 2011 by the American institute of Aeronautics and Astronautics, Inc.

关键词： Gases

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Large data visualization on distributed memory multi-GPU clusters 2

Large data visualization on distributed memory multi-GPU clu...

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2nd ACM SIGGRAPH / Eurographics on High-Performance Graphics, HPG 2010

作者： Fogal, Thomas Childs, Hank Shankar, Siddharth Krüger, Jens Bergeron, R. Daniel Hatcher, Philip Scientific Computing and Imaging Institute University of Utah United States Department of Computer Science University of New Hampshire United States Lawrence Berkeley National Laboratory United States Interactive Visualization and Data Analysis Group DFKI Germany

ISBN: (纸本)9783905674262

data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard workstations is now commonplace. One solution to this problem is to employ a 'visualization cluster,' a small to medium scale cluster dedicated to performing visualization and analysis of massive data sets generated on larger scale supercomputers. These clusters are designed to fit a different need than traditional supercomputers, and therefore their design mandates different hardware choices, such as increased memory, and more recently, graphics processing units (GPUs). While there has been much previous work on distributed memory visualization as well as GPU visualization, there is a relative dearth of algorithms which effectively use GPUs at a large scale in a distributed memory environment. In this work, we study a common visualization technique in a GPU-accelerated, distributed memory setting, and present performance characteristics when scaling to extremely large data sets. The Eurographics Association 2010.

关键词： Graphics processing unit

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FlashCoop: A Locality-Aware Cooperative Buffer Management for SSD-Based Storage Cluster

FlashCoop: A Locality-Aware Cooperative Buffer Management fo...

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International Conference on Parallel Processing (ICPP)

作者： Qingsong Wei Bozhao Gong Suraj Pathak Y. C. Tay Data Storage Institute Agency for Science Technology and Research Singapore School of Computing National University of Singapore Singapore

关键词： Servers Buffer storage Flash memory Resource management Writing Dynamic scheduling Bandwidth

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Large data Visualization on Distributed Memory Multi-GPU Clusters 10

Large Data Visualization on Distributed Memory Multi-GPU Clu...

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Conference on High-performance Graphics

作者： Thomas Fogal Hank Childs Siddharth Shankar Jens Kriiger R. Daniel Bergeron Philip Hatcher Scientific Computing & Imaging Institute University of UtahDepartment of Computer Science University of New Hampshire Lawrence Berkeley National Laboratory Scientific Computing & Imaging Institute University of Utah Interactive Visualization and Data Analysis Group DFKI Germany Department of Computer Science University of New Hampshire

ISBN: (纸本)9781617827242

关键词： distributed memory data visualisation Visualization dataset supercomputer Representation of data performance characteristics

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Knowledge extraction from multiple criteria linear programming classification approach

Knowledge extraction from multiple criteria linear programmi...

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作者： Zhang, Yuejin Zhang, Peng Zhang, Lingling Shi, Yong Research Center on Fictitious Economy and Data Sciences Chinese Academy of Sciences 100190 Beijing China School of Management Graduate University of Chinese Academy of Sciences 100190 Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China College of Information Science and Technology University of Nebraska Ant Omaha NE68182 Omaha United States

As an effective model for classification, Multiple Criteria Linear Programming (MCLP) has been widely used in business intelligence. However, a possible limitation of MCLP is that it generates unexplainable black-box models which can only tell us results without reasons. To overcome this shortage, in this paper, we present a knowledge mining strategy which mines explainable decision rules from black-box MCLP models. Firstly, we use the rough set theory to distinguish the definable set where samples are perfectly classified, from the rough set where misclassified samples may exist. Then, to get explainable knowledge, we present a clustering-based decision rule extraction approach to extract knowledge from the definable set, and a rough set-based rule extraction approach to the rough set. Finally, empirical studies on real world VIP Email data sets demonstrate that our method can effectively extract explicit rules from MCLP model with only a little lost in performance.

关键词： Linear programming

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