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Synthesis and characterization of Fe-Ti-Sb intermetallic compounds: Discovery of a new Slater-Pauling phase

Physical Review B 2016年第10期93卷 104424-104424页

作者： N. Naghibolashrafi S. Keshavarz Vinay I. Hegde A. Gupta W. H. Butler J. Romero K. Munira P. LeClair D. Mazumdar J. Ma A. W. Ghosh C. Wolverton Tri-campus materials science program The University of Alabama Tuscaloosa Alabama 35487 USA Center for Materials for Information Technology The University of Alabama Tuscaloosa Alabama 35487 USA Department of Physics and Astronomy The University of Alabama Tuscaloosa Alabama 35487 USA Department of Materials Science and Engineering Northwestern University Evanston Illinois 60208 USA Department of Chemistry The University of Alabama Tuscaloosa Alabama 35487 USA Department of Chemical and Biological Engineering The University of Alabama Tuscaloosa Alabama 35487 USA Department of Physics Southern Illinois University Carbondale Illinois 62901 USA Department of Electrical and Computer Engineering University of Virginia Charlottesville Virginia 22904 USA

Compounds of Fe, Ti, and Sb were prepared using arc melting and vacuum annealing. Fe2TiSb, expected to be a full Heusler compound crystallizing in the L21 structure, was shown by XRD and SEM analyses to be composed of weakly magnetic grains of nominal composition Fe1.5TiSb with iron-rich precipitates in the grain boundaries. FeTiSb, a composition consistent with the formation of a half-Heusler compound, also decomposed into Fe1.5TiSb grains with Ti-Sb rich precipitates and was weakly magnetic. The dominant Fe1.5TiSb phase appears to crystallize in a defective L21-like structure with iron vacancies. Based on this finding, a first-principles DFT-based binary cluster expansion of Fe and vacancies on the Fe sublattice of the L21 structure was performed. Using the cluster expansion, we computationally scanned >103 configurations and predict a novel, stable, nonmagnetic semiconductor phase to be the zero-temperature ground state. This new structure is an ordered arrangement of Fe and vacancies, belonging to the space group R3m, with composition Fe1.5TiSb, i.e., between the full- and half-Heusler compositions. This phase can be visualized as alternate layers of L21 phase Fe2TiSb and C1b phase FeTiSb, with layering along the [111] direction of the original cubic phases. Our experimental results on annealed samples support this predicted ground-state composition, but further work is required to confirm that the R3m structure is the ground state.

关键词： Heusler alloy First-principles calculations Machine learning X-ray imaging

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Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: proceedings

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BMC Proceedings 2017年第9期11卷 1-6页

作者： L. Leon Dent Sammed N. Mandape Siddharth Pratap Jianan Dong Jamaine Davis Jennifer A. Gaddy Kofi Amoah Steve Damo Dana R. Marshall Jacob Jones Toni Brandt Gilberto Diaz Qingguo Wang Todd Gary Ashwini Yenamandra Marina Z. Ghattas Marwa Elrakaiby Ramy K. Aziz Hamdallah H. Zedan Moamen Elmassry Marwa ElRakaiby Mariam Lotfy Jarrad Marcel Rania A. Khattab Maha M. Abdelfattah Jack A. Gilbert Pouya Dini Shavahn C. Loux Kirsten E. Scoggin Alejandro Esteller-Vico Edward L. Squires Mats H. T. Troedsson Barry A. Ball Peter Daels Kalpani De Silva Ernest Bailey Joel C. Stephens Theodore S. Kalbfleisch Christine E. Dolin Lauren G. Poole Gavin E. Arteel Michael L. Merchant Daniel W. Wilkey Michelle T. Barati Eric C. Rouchka Richard M. Higashi Teresa W-M Fan Hunter Moseley Andrew N Lane Department of Surgery Meharry Medical College Nashville TN 37208 USA Bioinformatics Core Meharry Medical College Nashville TN 37208 USA Department of Biochemistry and Cancer Biology Meharry Medical College Nashville TN 37208 USA Department of Medicine Vanderbilt University Medical Center Nashville TN 37232 USA Department of Life and Physical Sciences Fisk University Nashville TN 37208 USA Department of Pathology Anatomy and Cell Biology Meharry Medical College Nashville TN 37208 USA College of Computing and Technology Lipscomb University 1 University Park Drive Nashville TN 37204 USA Vanderbilt University Medical Center Nashville TN 37232 USA Office of Research Middle Tennessee State University 1301 East Main St Murfreesboro TN 37132 USA Department of Microbiology and Immunology Faculty of Pharmacy Cairo University Cairo Egypt Department of Biological Sciences Texas Tech University Lubbock TX 79409 USA Clinical Operations Department Ray-Clinical Research Organization Giza Egypt Genomic and Systems Biology Bioscience Division Argonne National Laboratory Argonne IL 60439 USA Research Institute of Ophthalmology Giza Egypt Department of Surgery University of Chicago Chicago IL 60637 USA Microbial Ecology Group Argonne National Laboratory Argonne IL 60439 USA Department of Veterinary Science University of Kentucky Lexington KY 40536 USA Department of Reproduction Faculty of Veterinary Medicine University of Gent Merelbeke Belgium Interdisciplinary Studies Program: Specialization in Bioinformatics University of Louisville Louisville KY 40292 USA Department of Veterinary Science University of Kentucky Lexington KY 40506 USA Genomics GPS Guilford CT 06437 USA Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville Louisville KY 40292 USA Department of Pharmacology & Toxicology University of Louisville Louisville KY 40202 USA Department of Medicine University of Louisville

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Classification of Myoelectric Signals Using Multilayer Perceptron Neural Network with Back Propagation Algorithm in a Wireless Surface Myoelectric Prosthesis

Classification of Myoelectric Signals Using Multilayer Perce...

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SCIEI 2015 Paris Conference

作者： Kevin D.Manalo Noel B.Linsangan Jumelyn L.Torres Mapúa Institute of Technology the Computer Engineering (Cp E) program at the Mapúa Institute of Technology the Computer Engineering (CpE)Department at Mapúa Institute of Technology

The paper focuses on a wireless myoelectric prosthesis of the upper-limb that uses a Multilayer Perceptron(MLP) neural network with back propagation algorithm in classifying electromyography(EMG) *** Neural network is composed of processing units that have the capability of sending signals to each other and perform a desired *** algorithm is widely used in pattern *** network is used to train EMG signals and use it in performing the necessary hand positions of the *** programming a Field programmable Gate Array(FPGA) using Verilog and transmission of data with Zigbee,the EMG signals are acquired,classified,and simulated *** signals are classified and trained to produce the necessary hand *** corresponding hand movements of Open,Pick,Hold and Grip are simulated through the Zigbee controller.Z-test is used to analyze the data that were produced and acquired from using the neural network.

关键词： Field programmable Gate Array Multilayer Perceptron Neural network Verilog Zigbee

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Project 1640 observations of brown dwarf GJ 758 B: Near-infrared spectrum and atmospheric modeling

arXiv

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arXiv 2017年

作者： Nilsson, R. Veicht, A. Giorla Godfrey, P.A. Rice, E.L. Aguilar, J. Pueyo, L. Roberts, L.C. Oppenheimer, R. Brenner, D. Luszcz-Cook, S.H. Bacchus, E. Beichman, C. Burruss, R. Cady, E. Dekany, R. Fergus, R. Hillenbrand, L. Hinkley, S. King, D. Lockhart, T. Parry, I.R. Sivaramakrishnan, A. Soummer, R. Vasisht, G. Zhai, C. Zimmerman, N.T. Astrophysics Department American Museum of Natural History Central Park West at 79th Street New YorkNY10024 United States Department of Astronomy Stockholm University AlbaNova University Center Roslagstullsbacken 21 StockholmSE-106 91 Sweden Department of Astronomy California Institute of Technology 1200 E. California Blvd PasadenaCA91125 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Department of Engineering Science & Physics College of Staten Island 2800 Victory Blvd. Staten IslandNY10314 United States Department of Physics and Astronomy Johns Hopkins University BaltimoreMD21218 United States Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Institute of Astronomy Cambridge University Madingley Road CambridgeCB3 0HA United Kingdom NASA Exoplanet Science Institute California Institute of Technology PasadenaCA91125 United States Caltech Optical Observatories California Institute of Technology PasadenaCA91125 United States Department of Computer Science Courant Institute of Mathematical Sciences New York University 715 Broadway New YorkNY10003 United States School of Physics University of Exeter Stocker Road ExeterEX4 4QL United Kingdom

The nearby Sun-like star GJ 758 hosts a cold substellar companion, GJ 758 B, at a projected separation of 30 au, previously detected in high-contrast multi-band photometric observations. In order to better constrain the companion’s physical characteristics, we acquired the first low-resolution (R ∼ 50) near-infrared spectrum of it using the high-contrast hyperspectral imaging instrument Project 1640 on Palomar Observatory’s 5 m Hale telescope. We obtained simultaneous images in 32 wavelength channels covering the Y , J, and H bands (∼952–1770 nm), and used data processing techniques based on principal component analysis to efficiently subtract chromatic background speckle-noise. GJ 758 B was detected in four epochs during 2013 and 2014. Basic astrometric measurements confirm its apparent northwest trajectory relative to the primary star, with no clear signs of orbital curvature. Spectra of SpeX/IRTF observed T dwarfs were compared to the combined spectrum of GJ 758 B, with χ2 minimization suggesting a best fit for spectral type T7.0±1.0, but with a shallow minimum over T5–T8. Fitting of synthetic spectra from the BT-Settl13 model atmospheres gives an effective temperature Teff = 741 ± 25 K and surface gravity log g = 4.3 ± 0.5 dex (cgs). Our derived best-fit spectral type and effective temperature from modeling of the low-resolution spectrum suggest a slightly earlier and hotter companion than previous findings from photometric data, but do not rule out current results, and confirm GJ 758 B as one of the coolest sub-stellar companions to a Sun-like star to date. Copyright © 2017, The Authors. All rights reserved.

关键词： Principal component analysis

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Combining context-Aware ubiquitous learning and computer simulation: A lesson learned in elementary science education 23

Combining context-Aware ubiquitous learning and computer sim...

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23rd International Conference on computers in Education, ICCE 2015

作者： Kongpet, Kowit Srisawasdi, Niwat Feungchan, Witcha Science Education Program Faculty of Education Khon Kaen University Thailand Division of Science Mathematics and Technology Faculty of Education Khon Kaen University Thailand Department of Computer Engineering Faculty of Engineering Khon Kaen University Thailand

ISBN: (纸本)9784990801472

Context-Aware ubiquitous learning has been recognized as an innovative mobile learning approach that enables students to directly interact with real-world natural phenomena with supports from digital technology. To enhance visualization of the phenomena, computer simulation could be used to simplify the real world using visual representation. These approaches could be used to motivate science-based learning and facilitate inquiry-based learning process in elementary school science. As such, the mobile "Answer Me" application has been created as a cloud-based instructional system to facilitate context-Aware ubiquitous learning in science. In this study, the Answer Me was used to facilitate students' investigation of scientific phenomena of sound. To enhance their comprehension about sound wave, a computer simulation, developed by Physics Education technology research group, was employed to visualize unobservable phenomena of sound. Both technologies were combined to promote science learning experience regarding predict-observe-explain learning process. Moreover, to evaluate its impact on science learning in elementary school, 54 fifth-grade students were recruited to interact with the app and simulation through POE learning activities. They were examined conceptual understanding about sound and science motivation both before and after the intervention. The results showed that students improved their conceptual understanding about sound and the proposed approach had a positive impact on students' science motivation of learning science by the combined learning experience.

关键词： Students

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The effect of pedagogy-embedded digital game in primary science education: A comparison of students' understanding of vitamin 23

The effect of pedagogy-embedded digital game in primary scie...

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23rd International Conference on computers in Education, ICCE 2015

作者： Hiangsa, Marisa Srisawasdi, Niwat Feungchan, Witcha Science Education Program Faculty of Education Khon Kaen University Thailand Division of Science Mathematics and Technology Faculty of Education Khon Kaen University Thailand Department of Computer Engineering Faculty of Engineering Khon Kaen University Thailand

ISBN: (纸本)9784990801472

Recently, effective instructional interventions are needed to enable primary school student to increase conceptual understanding in science. To archive the mentioned, well-designed instructional materials regarding appropriate pedagogy is an important platform for students' learning in primary school science. In this study, an educational digital game regarding fruit and vegetable consumptions, particularly called "The Fruit Eater", has been pedagogically designed concerning problem-based learning strategy and then collaboratively created in android application platform, under the cooperation by computer engineering, science educator, and in-service science teacher at Khon Kaen University, in order to transforming traditional learning environment into constructivist-based learning environment. To investigate the effect of the intervention, a study has been conducted with 104 primary school students, classifying into three different groups, in order to verify the value of the game app. The results showed that the game demonstrated good performance (as compared to regular traditional (problem-based) instruction, and problem-oriented game-based inquiry learning) concerning the gain of conceptual understanding of vitamins, and health benefits of fruits and vegetables, even though the pedagogy-embedded digital game was used independently by students for learning. To this end, this study concluded that the use of pedagogy-embedded digital game could facilitate students' development of scientific understanding as well as teacher-centered instruction, and well-designed digital game regarding appropriate pedagogy might be a key factor associated to this effect in science learning.

关键词： Students

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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A study for understanding of tourist person trip pattern based on log data of Wi-Fi access points

A study for understanding of tourist person trip pattern bas...

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IEEE International Conference on Big Data

作者： Yu Ichifuji Yoshihide Matsuo Noriaki Koide Nobuhiro Akashi Yoshitaka Terai Toru Kobayashi Center for Information and Communication Technology Nagasaki University Nagasaki Japan Information and Society Research Division National Institute of Informatics Tokyo Japan Tourism promotion division Nagasaki Prefectural Government Nagasaki Japan Nagasaki Business Department Nippon Telegraph and Telephone WEST Corporation Nagasaki Japan Computer and Information Science Program School of Engineering Nagasaki University Nagasaki Japan

ISBN: (纸本)9781467390064

Statistical tourism data are critical to supporting tourism policy decisions. Such data are normally compiled via questionnaires or interviews, which requires both time and money, thus making such data unusable for policy decision-making to occur in real-time. To support real-time policy decision-making, we focused on person trip data for promoting tourism. The city government can reflect such data on tourism events and guidebooks if it has a grasp of tourist person trip patterns. In this paper, we focused on using the log data of Wi-Fi access points available at each tourist spot. Wi-Fi access points have log data that keep track of the timestamps of users connecting and disconnecting from the Wi-Fi. We can visualize the movements of tourists using these data; however, there is bias among Wi-Fi users. Therefore, we must evaluate the Wi-Fi log data to verify they are representative of almost all tourists. More specifically, we evaluated log data for Goto City to determine whether the government's data were equivalent to the log data. We also showed the possibility of visualizing tourist movement history based on our log data.

关键词： IEEE 802.11 Standard Urban areas Sensors Government History Data visualization Mobile communication

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Nat Genet:单细胞分析解开结直肠癌细胞的神秘面纱

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现代生物医学进展 2017年第15期17卷 I0003-I0003页

作者： Huipeng Li, Elise T Courtois, Debarka Sengupta, Yuliana Tan Shyam Prabhakar Elise T Courtois, Yuliana Tan Paul Robson Debarka Sengupta Kok Hao Chen, Jolene Jie Lin Goh Paul Jongjoon Choi Say Li Kong, Axel M Hillmer Iain Beehuat Tan Clarinda Chua Iain Beehuat Tan Lim Kiat Hon Wah Siew Tan Mark Wong Lawrence J K Wee Iain Beehuat Tan Paul Robson Paul Robson Paul Robson Computational and Systems Biology Genome Institute of Singapore Singapore Developmental Cellomics Laboratory Genome Institute of Singapore Singapore Department of Computer Science and Engineering and Center for Computational Biology Indraprastha Institute of Information Technology Delhi India Synthetic Biology Genome Institute of Singapore Singapore Cancer Therapeutics and Stratified Oncology Genome Institute of Singapore Singapore Department of Medical Oncology National Cancer Centre Singapore Singapore Department of Pathology Singapore General Hospital Singapore Department of Colorectal Surgery Singapore General Hospital Singapore Data Analytics Department Institute for Infocomm Research Singapore Program in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore The Jackson Laboratory for Genomic Medicine Farmington Connecticut USA Department of Genetics and Genome Sciences Institute for Systems Genomics University of Connecticut Farmington Connecticut USA Department of Biological Sciences National University of Singapore Singapore.

结合单细胞基因组学和计算机技术，一个研究团队（包括来自杰克逊实验室（JAx）单细胞生物学主任Paul Robson博士在内）鉴定出了11种结直肠癌肿瘤的癌细胞组成及邻近的非癌细胞。这对于更好的肿瘤靶向诊断和治疗很重要。”使用单细胞测... 详细信息

结合单细胞基因组学和计算机技术，一个研究团队（包括来自杰克逊实验室（JAx）单细胞生物学主任Paul Robson博士在内）鉴定出了11种结直肠癌肿瘤的癌细胞组成及邻近的非癌细胞。这对于更好的肿瘤靶向诊断和治疗很重要。”使用单细胞测序。”JAX科学家、这篇发表在Nature Genetics上的文章共同第一作者Elise Courtois说道。”我们可以根据肿瘤中的细胞组成将结直肠癌进一步分类。因为每种亚型的肿瘤病人生存率存在差别，我们的方法将为肿瘤医生提供更多的关于肿瘤预后和治疗的信息。”

关键词：单细胞分析结直肠癌癌细胞 Nat 细胞组成肿瘤病计算机技术细胞生物学

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Author Correction: A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis

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Nature communications 2019年第1期10卷 2956页

作者： Lohith Madireddy Kicheol Kim Xiaoming Jia Adam Santaniello Stacy J. Caillier Bruce A. C. Cree Roland Henry Stephen L. Hauser Jorge R. Oksenberg Sergio E. Baranzini Nikolaos A. Patsopoulos Philip De Jager Chris Cotsapas Matthew R. Lincoln David A. Hafler Steffan D. Bos Hanne F. Harbo Tone Berge Elisabeth G. Celius Ashley Beecham Jacob McCauley Margaret A. Pericak-Vance Till F. M. Andlauer Christiane Gasperi Bernhard Hemmer Lisa F. Barcellos Luisa Bernardinelli Filippo Martinelli-Boneschi David R. Booth Graeme J. Stewart Farren Briggs Jonathan Haines Manuel Comabella Giancarlo Comi Federica Esposito Sandra D’Alfonso Katrina Dedham Pierre Duquette Efthimios Dardiotis Bertrand Fontaine An Goris Bénédicte Dubois Pierre-Antoine Gourraud Georgios Hadjigeorgiou Clive Hawkins Seema Kalra Rogier Hintzen Dana Horakova Noriko Isobe Jun-ichi Kira Michael Khalil Ingrid Kockum Tomas Olsson Christina M. Lill Felix Luessi Frauke Zipp Roland Martin Annette Oturai Aarno Palotie Janna Saarela Adrian Ivinson Bruce V. Taylor Alastair Compston Stephen Sawcer Weill Institute for Neurosciences Department of Neurology University of California San Francisco San Francisco CA 94158 USA Bakar Institute for Computational Health Science. University of California San Francisco San Francisco CA 94158 USA Systems Biology and Computer Science Program Ann Romney Center for Neurological Diseases Department of Neurology and Division of Genetics Department of Medicine Brigham & Women’s Hospital Harvard Medical School Boston MA 02115 USA Broad Institute of Harvard University and Massachusetts Institute of Technology Cambridge MA 02142 USA Department of Neurology Center for Translational and Computational Neuroimmunology and Multiple Sclerosis Center Columbia University Medical Center New York NY 10032 USA Departments of Neurology Yale School of Medicine 300 George St New Haven CT 06511 USA Department of Genetics Yale School of Medicine 300 George St New Haven CT 06511 USA Institute of Clinical Medicine University of Oslo Oslo 0318 Norway Department of Neurology Oslo University Hospital Oslo 0424 Norway Department of Mechanical Electronics and Chemical Engineering Oslo Metropolitan University Oslo 0167 Norway Institute of Health and Society University of Oslo Oslo 0318 Norway John P. Hussman Institute for Human Genomics University of Miami Miller School of Medicine Miami FL 33136 USA Dr. John T. Macdonald Foundation Department of Human Genetics University of Miami Miller School of Medicine Miami FL 33136 USA Department of Neurology Klinikum rechts der Isar School of Medicine Technical University of Munich 81675 Munich Germany Munich Cluster for Systems Neurology (SyNergy) 81377 Munich Germany Division of Epidemiology School of Public HealthUniversity of California 324 Stanley Hall MC#3220 Berkeley CA 94720 USA Section of Biostatistics Neurophyisiology and Psychiatry Unit of medical and genomic statistics Universita of Pavia Pavia 27100 Italy Department of Biomedical Sciences for Health Univers

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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