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Optical Interference Coatings, OIC 2013

作者： Jiao, Hongfei Cheng, Xinbin Bao, Ganghua Han, Jin Zhang, Jinlong Wang, Zhanshan Trubetskov, M. Tikhonravov, Alexander V. Key laboratory of advanced micro-structure materials Ministry of Education Tongji University Shanghai 200092 China Institute of Precision Optical Engineering School of Physics science and Engineering Tongji University Shanghai 200092 China Max-Planck Institute of Quantum Optics Hans-Kopfermann str. 1 85748 Garching Germany Research Computing Center Moscow State University Leninskie Gory 119992 Moscow Russia

Half-wave-hole problem, mainly caused by refractive index inhomogeneity of hafnia, had greatly influenced the spectra and application of HfO2/SiO2 dichroic laser mirrors. Two approaches to eliminate the half-wave-hole... 详细信息

ISBN: (纸本)9781557529701

关键词： Laser mirrors

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Design of coatings in EUV, soft X-ray and X-ray spectral regions

Design of coatings in EUV, soft X-ray and X-ray spectral reg...

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Optical Interference Coatings, OIC 2013

作者： Tikhonravov, A. Trubetskov, M. Sharapova, S. Wang, Z. Research Computing Center Moscow State University Leninskie Gory 119992 Moscow Russia Max-Planck Institute of Quantum Optics Hans-Kopfermann str. 1 85748 Garching Germany Institute of Precision Optical Engineering Department of Physics Tongji University Shanghai 200092 China Key laboratory of advanced micro-structure materials Ministry of Education Shanghai 200092 China

Approach to solving all types of design problems in spectral regions from X-ray to EUV is presented. It employs the most efficient general design tools and special technique aimed at taking into account interface roug... 详细信息

ISBN: (纸本)9781557529701

关键词： Coatings

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Design of aperiodic multilayers for EUV applications

Design of aperiodic multilayers for EUV applications

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Optical Interference Coatings, OIC 2013

We show that design techniques elaborated for conventional optical coating allow one to design EUV coatings with superior properties. High potential of designs composed of more than two materials is demonstrated. ... 详细信息

ISBN: (纸本)9781557529701

关键词： Optical coatings

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Recovery of hierarchical styling features from images

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Journal of Information and Computational Science 2013年第7期10卷 1907-1916页

作者： Li, Baojun Li, Qingbao Liu, Chong Liu, Mingzeng Hu, Ping Liu, Xiuping School of Automotive Engineering Faculty of Vehicle Engineering and Mechanics Dalian University of Technology Dalian 116024 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha 410082 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian 116024 China School of Mathematical Science Dalian University of Technology Dalian 116024 China

In this paper, we propose a model-based reconstruction method for recovering a 2D parametric styling model with hierarchical structure from an image. Our method extracts characteristic features for industrial design with following essential components: construction of the template database as prior knowledge, contour detection from images and layered segmentation, key points generation via shape correspondence with reference model, sparse reconstruction based on shape space and hierarchical fitting. The whole recovery process is semi-automatic. We adopt the challenging vehicle styling as test examples, and establish associated styling model database. Numerical experiments show that our method is effective to recover the styling features with high precision and hierarchical structure. We also give an image reshaping application based on our hierarchical features. © 2013 by Binary Information Press.

关键词： Recovery

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CloudRank-D： benchmarking and ranking cloud computing systems for data processing applications

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Frontiers of Computer Science 2012年第4期6卷 347-362页

作者： Chunjie LUO Jianfeng ZHAN Zhen JIA Lei WANG Gang LU Lixin ZHANG Cheng-Zhong XU Ninghui SUN State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100019China Department of Electrical and Computer Engineering Wayne State UniversityDetroitM148202USA Shenzhenlnstitute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China

With the explosive growth of information, more and more organizations are deploying private cloud systems or renting public cloud systems to process big data. However, there is no existing benchmark suite for evaluating cloud performance on the whole system level. To the best of our knowledge, this paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing sys- tems that are shared for running big data applications. We an- alyze the limitations of previous metrics, e.g., floating point operations, for evaluating a cloud computing system, and propose two simple metrics： data processed per second and data processed per Joule as two complementary metrics for evaluating cloud computing systems. We detail the design of CloudRank-D that considers representative applications, di- versity of data characteristics, and dynamic behaviors of both applications and system software platforms. Through experi- ments, we demonstrate the advantages of our proposed met- tics. In several case studies, we evaluate two small-scale de- ployments of cloud computing systems using CloudRank-D.

关键词： data center systems clouds big data applica- tions benchmarks evaluation metrics

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Recent advances on apposition compound eye cameras

Recent advances on apposition compound eye cameras

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CLEO: Applications and Technology, CLEO_AT 2013

作者： Song, Y.M. Xie, Y. Malyarchuk, V. Xiao, J. Jung, I. Choi, K.-J. Liu, Z. Park, H. Lu, C. Kim, R.-H. Li, R. Crozier, K.B. Huang, Y. Rogers, J.A. Department of Materials Science and Engineering Beckman Institute for Advanced Science and Technology Frederick Seitz Materials Research Laboratory and University of Illinois at Urbana-Champaign Urbana IL 61801 United States Department of Mechanical Engineering University of Colorado at Boulder Boulder CO 80309 United States Department of Mechanical Engineering Kyung Hee University Yongin-si Gyeonggi-do 446-701 Korea Republic of Department of Chemistry University of Illinois at Urbana-Champaign Urbana IL 61801 United States Institute of High Performance Computing A star 1 Fusionopolis Way #16-16 Connexis 138632 Singapore School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 United States Department of Civil Engineering and Soft Matter Research Center Zhejiang University Hangzhou 310058 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian 116024 China Department of Mechanical Engineering Northwestern University Evanston IL 60208 United States

This work presents digital cameras that resemble, both structurally and functionally, apposition-type compound eyes of daylight insect. Hemispherical imagers with 180 artificial ommatidia yield 160 degree field of vie... 详细信息

ISBN: (纸本)9781557529725

关键词： Fiber optics

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Chiral Scars in Chaotic Dirac Fermion Systems

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Physical Review Letters 2013年第6期110卷 064102-064102页

作者： Hongya Xu Liang Huang Ying-Cheng Lai Celso Grebogi Institute of Computational Physics and Complex Systems and Key Laboratory for Magnetism and Magnetic Materials of MOE Lanzhou University Lanzhou Gansu 730000 China School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA Department of Physics Arizona State University Tempe Arizona 85287 USA Institute for Complex Systems and Mathematical Biology King’s College University of Aberdeen Aberdeen AB24 3UE United Kingdom Freiburg Institute for Advanced Studies University of Freiburg 79104 Freiburg Germany

Do relativistic quantum scars in classically chaotic systems possess unique features that are not shared by nonrelativistic quantum scars? We report a class of relativistic quantum scars in massless Dirac fermion systems whose phases return to the original values or acquire a 2π change only after circulating twice about some classical unstable periodic orbits. We name such scars chiral scars, the successful identification of which has been facilitated tremendously by our development of an analytic, conformal-mapping-based method to calculate an unprecedentedly large number of eigenstates with high accuracy. Our semiclassical theory indicates that the physical origin of chiral scars can be attributed to a combined effect of chirality intrinsic to massless Dirac fermions and the geometry of the underlying classical orbit.

关键词： FERMIONS LEPTONS (Nuclear physics) COMBINATORIAL dynamics SCHRODINGER equation QUANTUM interference

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CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing

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Protein & Cell 2012年第2期3卷 148-152页

作者： Guoguang Zhao Dechao Bu Changning Liu Jing Li Jian Yang Zhiyong Liu Yi Zhao Runsheng Chen Bioinformatics Research Group Key Laboratory of Intelligent Information ProcessingAdvanced Computing Research LaboratoryInstitute of Computing TechnologyChinese Academy of SciencesBeijing 100190China Bioinformatics Laboratory and National Laboratory of Biomacromolecules Institute of BiophysicsChinese Academy of SciencesBeijing 100101China State Key Laboratory for Molecular Virology and Genetic Engineering National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 100176China Graduate School of the Chinese Academy of Sciences Beijing 100190China

Estimating taxonomic content constitutes a key problem in metagenomic sequencing data ***,extracting such content from high-throughput data of next-generation sequencing is very time-consuming with the currently available ***,we present CloudLCA,a parallel LCA algorithm that significantly improves the efficiency of determining taxonomic composition in metagenomic data *** show that CloudLCA(1)has a running time nearly linear with the increase of dataset magnitude,(2)displays linear speedup as the number of processors grows,especially for large datasets,and(3)reaches a speed of nearly 215 million reads each minute on a cluster with ten thin *** comparison with MEGAN,a well-known metagenome analyzer,the speed of CloudLCA is up to 5 more times faster,and its peak memory usage is approximately 18.5%that of MEGAN,running on a fat *** can be run on one multiprocessor node or a *** is expected to be part of MEGAN to accelerate analyzing reads,with the same output generated as MEGAN,which can be import into MEGAN in a direct way to finish the following ***,CloudLCA is a universal solution for finding the lowest common ancestor,and it can be applied in other fields requiring an LCA algorithm.

关键词： CloudLCA metagenome analysis cloud computing

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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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Electrostatic tuning of Kondo effect in a rare-earth-doped wide-band-gap oxide

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Physical Review B 2013年第15期87卷 155151-155151页

作者： Yongfeng Li Rui Deng Weinan Lin Yufeng Tian Haiyang Peng Jiabao Yi Bin Yao Tom Wu Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore 637371 Singapore Key Laboratory of Physics and Technology for Advanced Batteries (Ministry of Education) College of Physics Jilin University Changchun 130012 People's Republic of China School of Materials Science & Engineering The University of New South Wales Sydney NSW 2052 Australia State Key Lab of Superhard Material College of Physics Jilin University Changchun 130012 China Physical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia

As a long-lived theme in solid-state physics, the Kondo effect reflects the many-body physics involving the short-range Coulomb interactions between itinerant electrons and localized spins in metallic materials. Here we show that the Kondo effect is present in ZnO, a prototypical wide-band-gap oxide, doped with a rare-earth element (Gd). The localized 4f electrons of Gd ions do not produce remanent magnetism, but interact strongly with the host electrons, giving rise to a saturating resistance upturn and negative magnetoresistance at low temperatures. Furthermore, the Kondo temperature and resistance can be electrostatically modulated using electric-double-layer gating with liquid ionic electrolyte. Our experiments provide the experimental evidence of tunable Kondo effect in ZnO, underscoring the magnetic interactions between localized and itinerant electrons and the emergent transport behaviors in such doped wide-band-gap oxides.

关键词： SOLID state physics KONDO effect GADOLINIUM ELECTROSTATICS COULOMB functions ZINC oxide ENERGY gaps (Physics)

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