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Chinese Physics C 2016年第10期 11-26页

作者： C.Patrignani K.Agashe G.Aielli C.Amsler M.Antonelli D.M.Asner H.Baer Sw.Banerjee R.M.Barnett T.Basaglia C.W.Bauer J.J.Beatty V.I.Belousov J.Beringer S.Bethke H.Bichsel O.Biebel E.Blucher G.Brooijmans O.Buchmueller V.Burkert M.A.Bychkov R.N.Cahn M.Carena A.Ceccucci A.Cerri D.Chakraborty M.-C.Chen R.S.Chivukula K.Copic G.Cowan O.Dahl G.D'Ambrosio T.Damour D.de Florian A.de Gouvea T.DeGrand P.de Jong G.Dissertori B.A.Dobrescu M.D'Onofrio M.Doser M.Drees H.K.Dreiner D.A.Dwyer P.Eerola S.Eidelman J.Ellis J.Erler V.V.Ezhela W.Fetscher B.D.Fields B.Foster A.Freitas H.Gallagher L.Garren H.-J.Gerber G.Gerbier T.Gershon T.Gherghetta A.A.Godizov M.Goodman C.Grab A.V.Gritsan C.Grojean D.E.Groom M.Grnewald A.Gurtu T.Gutsche H.E.Haber K.Hagiwara C.Hanhart S.Hashimoto Y.Hayato K.G.Hayes A.Hebecker B.Heltsley J.J.Hernandez-Rey K.Hikasa J.Hisano A.Hcker J.Holder A.Holtkamp J.Huston T.Hyodo K.Irwin J.D.Jackson K.F.Johnson M.Kado M.Karliner U.F.Katz S.R.Klein E.Klempt R.V.Kowalewski F.Krauss M.Kreps B.Krusche Yu.V.Kuyanov Y.Kwon O.Lahav J.Laiho P.Langacker A.Liddle Z.Ligeti C.-J.Lin C.Lippmann T.M.Liss L.Littenberg K.S.Lugovsky S.B.Lugovsky A.Lusiani Y.Makida F.Maltoni T.Mannel A.V.Manohar W.J.Marciano A.D.Martin A.Masoni J.Matthews U.-G.Meiβner D.Milstead R.E.Mitchell P.Molaro K.Mnig F.Moortgat M.J.Mortonson H.Murayama K.Nakamura M.Narain P.Nason S.Navas M.Neubert P.Nevski Y.Nir K.A.Olive S.Pagan Griso J.Parsons J.A.Peacock M.Pennington S.T.Petcov V.A.Petrov A.Piepke A.Pomarol A.Quadt S.Raby J.Rademacker G.Raffelt B.N.Ratcliff P.Richardson A.Ringwald S.Roesler S.Rolli A.Romaniouk L.J.Rosenberg J.L.Rosner G.Rybka R.A.Ryutin C.T.Sachrajda Y.Sakai G.P.Salam S.Sarkar F.Sauli O.Schneider K.Scholberg A.J.Schwartz D.Scott V.Sharma S.R.Sharpe T.Shutt M.Silari T.Sjstrand P.Skands T.Skwarnicki J.G.Smith G.F.Smoot S.Spanier H.Spieler C.Spiering A.Stahl S.L.Stone Y.Sumino T.Sumiyoshi M.J.Syphers F.Takahashi M.Tanabashi K.Terashi J.Terning R.S.Thorne L.Tiator M.Titov N.P.Tkachenko N.A.Trnqvist D.Tovey G.Valencia R.Van de Water N.Varelas G Particle Data Group Universita di Bologna and INFN Dip.Scienze per la Qualita della Vita University of Maryland Department of Physics College Park Universit degli Studi di Roma "Tor Vergata" Albert Einstein Center for Fundamental Physics Universitt Bern Stefan Meyer Institute for Subatomic Physics Austrian Academy of Sciences Lab.Nazionali di Frascati dell'INFN Pacific Northwest National Laboratory Department of Physics and Astronomy University of Oklahoma University of Louisville Physics Division Lawrence Berkeley National Laboratory CERN European Organization for Nuclear Research Department of Physics The Ohio State University COMPAS Group Institute for High Energy Physics Max-Planck-Institute of Physics Department of Physics University of Washington Ludwig-Maximilians-Universitt Fakultt fr Physik Enrico Fermi Institute and Department of Physics University of Chicago Department of Physics Columbia University High Energy Physics Group Blackett Laboratory Imperial College Jefferson Lab Department of Physics University of Virginia Fermi National Accelerator Laboratory Kavli Institute for Cosmological Physics University of Chicago Department of Physics and Astronomy University of Sussex Department of Physics Northern Illinois University Department of Physics and Astronomy University of California Michigan State University Dept.of Physics and Astronomy Department of Physics Royal Holloway University of London INFN-Sezione di Napoli Complesso Universitario Monte Sant'Angelo Institut des Hautes Etudes Scientifiques International Center for Advanced Studies(ICAS) UNSAM Department of Physics and Astronomy Northwestern University Department of Physics University of Colorado at Boulder Nikhef P.O.Box 41882 1009 DB Amsterdam and University of Amsterdam Institute for Particle Physics ETH Zurich University of Liverpool Department of Physics Oliver Lodge Lab Physikalisches Institut Universitt Bonn Helsinki Institute of Physics University of Helsinki Department of Physics Budker Institute of Nuclear Physics SB RAS Novosib

The Review summarizes much of particle physics and *** data from previous editions,plus 3,062 new measurements from 721 papers,we list,evaluate,and average measured properties of gauge bosons and the recently discovered Higgs boson,leptons,quarks,mesons,and *** summarize searches for hypothetical particles such as supersymmetric particles,heavy bosons,axions,dark photons,*** the particle properties and search limits are listed in Summary *** also give numerous tables,figures,formulae,and reviews of topics such as Higgs Boson Physics,Supersymmetry,Grand Unified Theories,Neutrino Mixing,Dark Energy,Dark Matter,Cosmology,Particle Detectors,Colliders,Probability and *** the 117 reviews are many that are new or heavily revised,including new reviews on Pentaquarks and Inflation.

关键词： CERN INTRODUCTION DESY

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Baryons

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Chinese Physics C 2016年第10期40卷 807-825页

关键词： Baryons Rev CERN USA DESY

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Index

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Chinese Physics C 2016年第10期 901-914页

关键词： Index USA

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Towards systematic parallel programming of graph problems via tree decomposition and tree parallelism

Towards systematic parallel programming of graph problems vi...

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2nd ACM SIGPLAN Workshop on Functional High-Performance Computing, FHPC 2013 - Co-located with the 18th ACM SIGPLAN International Conference on Functional Programming, ICFP 2013

作者： Wang, Qi Chen, Meixian Liu, Yu Hu, Zhenjiang STAP Group School of Software Shanghai Jiao Tong University China Dpt of Computer Science and Engineering Shanghai Jiao Tong University China University for Advanced Studies Japan National Institute of Informatics Japan

ISBN: (纸本)9781450323819

Many graph optimization problems, such as theMaximumWeighted Independent Set problem, are NP-hard. For large scale graphs that have billions of edges or vertices, these problems are hard to be computed directly even using popular data-intensive frameworks like MapReduce or Pregel that are deployed on large computerclusters, because of the extremely high computational complexity. On the other hand, many studies have shown the existence of polynomial time algorithms on graphs with bounded treewidth, which makes it possible to solve these problems on large graphs. However, the algorithms are usually difficult to be understood or parallelized. In this paper, we propose a novel programming framework which provides a user-friendly programming interface and automatic in-black-box parallelization. The programming interface, which is a simple and straightforward abstraction called Generate- Test-Aggregate (GTA for short), is used to describe a set of graph problems. We propose to derive bottom-up dynamic programming algorithms on tree decompositions from the user-specified GTA algorithms, and further transform the bottom-up algorithms to parallel ones which run in a divide-and-conquer manner on a list of subtrees. Besides, balanced tree partition strategies are discussed for efficient parallel computing. Our preliminary experimental results on the Maximum Weighted Independent Set problem demonstrate the practical viability of our approaches. Copyright © 2013 by the Association for Computing Machinery, Inc. (ACM).

关键词： Parallel programming

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Chinese Physics C

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Chinese Physics C 2016年第10期 915-915页

关键词： CA Organization Chinese Physics C USA DESY CERN

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Constructing and Exploring Composite Items Using Max-valid Bundles

Constructing and Exploring Composite Items Using Max-valid B...

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IEEE International Conference on data Mining Workshops (ICDM Workshops)

作者： Gowtham Srinivas P. Sreyantha Chary M. Satheesh Kumar D. Santhi Thilagam P. Jawaharlal Nehru Institute of Advanced Studies (JNIAS) & Centre for Data Engineering International Institute of Information Technology Hyderabad Department of Computer Science and Engineering National Institute of Technology

ISBN: (纸本)9781467351645

Online shoppers purchase a wide variety of items ranging from books to electronics. Keeping in view of the large number of items available for online purchase, there is a need for sophisticated techniques to help users explore the available products. Composite items, which associate a central item with a set of packages formed by satellite items, can be used for this purpose. The existing approach for constructing and exploring composite items use a random walk algorithm for this purpose but has some problems. In this paper, we propose a statistically efficient algorithm to construct and explore the composite items in real time. The proposed approach considers that not only the price but also the quality of the product influences the consumer behavior. The experimental study is conducted to show that the proposed approach significantly improves the performance in terms of time, search space and the quality of the recommendation provided using the composite items over the existing method.

关键词： Satellites Algorithm design and analysis Visual effects Optimization Silicon Satellite broadcasting History

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Pattern mining, semantic label identification and movement prediction using mobile phone data

Pattern mining, semantic label identification and movement p...

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8th International Conference on advanced data Mining and Applications, ADMA 2012

作者： Xie, Rong Luo, Jun Yue, Yang Li, Qingquan Zou, Xiaoqing International School of Software Wuhan University Wuhan 430079 China Shenzhen Institutes of Advanced Technology CAS Shenzhen 518055 China Shenzhen Key Laboratory of High Performance Data Mining Shenzhen 518055 China Shenzhen University Shenzhen China State Key Lab. of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China Faculty of Land Resource Engineering Kunming University of Science and Technology Kunming China

ISBN: (纸本)9783642355264

data collected from mobile phones have potential knowledge to provide with important behavior patterns of individuals. In this paper, we present approaches to discovering personal mobility and characteristics based on mobile phone location information and semantic analysis. We discuss three aspects related to very common mobile phone-related applications such as pattern mining, semantic label identification and movement prediction. We use real mobile phone data to perform functions of discovering these behavior patterns and demonstrate effectiveness of our approaches. © Springer-Verlag 2012.

关键词： Cellular telephones

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Verification of adaptive systems

Verification of adaptive systems

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AIAA Infotech at Aerospace Conference and Exhibit 2012

作者： Pullum, Laura Cui, Xiaohui Vassev, Emil Hinchey, Mike Rouff, Christopher Buskens, Richard Computational Data Analytics Group Oak Ridge National Laboratory P.O. Box 2008 MS-6085 Oak Ridge TN 37830 United States Computer Science Department New York Institute of Technology 1855 Broadway Manhattan NY 10023 United States Lero - The Irish Software Engineering Research Centre University of Limerick Limerick Ireland Lockheed Martin Advanced Technology Laboratories Informatics Laboratory 3 Executive Campus Suite 600 Cherry Hill NJ 08002 United States Lockheed Martin Advanced Technology Laboratories Informatics Laboratory Applied Science Laboratory 3 Executive Campus Cherry Hill NJ 08002 United States

ISBN: (数字)9781600869396

ISBN: (纸本)9781600869396

Adaptive systems are critical for future space and other unmanned and intelligent systems. Verification of these systems is also critical for their use in systems with potential harm to human life or with large financial investments. Due to their nondeterministic nature and extremely large state space, current methods for verification of software systems are not adequate to provide a high level of assurance for them. The combination of stabilization science, high performance computing simulations, compositional verification and traditional verification techniques, plus operational monitors, provides a complete approach to verification and deployment of adaptive systems that has not been used before. This paper gives an overview of this approach. © 2012 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Adaptive systems

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Developing the educational strategic and leadership plans for IAU University: A real case study

Developing the educational strategic and leadership plans fo...

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2011 3rd International Congress on engineering Education: Rethinking engineering Education, The Way Forward, ICEED 2011

作者： Khatavakhotan, Ahdieh Sadat Taba, Navid Hashemi Department of Software Engineering Faculty of Computer Science and IT University of Malaya Kuala Lumpur Malaysia School of Advanced Studies University of Phoenix Phoenix AZ United States

ISBN: (纸本)9781457712593

This document gives formatting instructions for authors preparing papers for publication in the Proceedings of an IEEE conference. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text. © 2011 IEEE.

关键词： Educational Development Human Resource Leadership Plan Spiral Model Strategic Plan

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