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Correction to: Lewy body-like alpha-synuclein inclusions trigger reactive microgliosis prior to nigral degeneration

Journal of neuroinflammation 2018年第1期15卷 169页

作者： Megan F Duffy Timothy J Collier Joseph R Patterson Christopher J Kemp Kelvin C Luk Malú G Tansey Katrina L Paumier Nicholas M Kanaan D Luke Fischer Nicole K Polinski Olivia L Barth Jacob W Howe Nishant N Vaikath Nour K Majbour Omar M A El-Agnaf Caryl E Sortwell Department of Translational Science and Molecular Medicine Michigan State University 400 Monroe Avenue NW Grand Rapids MI 49503-2532 USA. Neuroscience Graduate Training Program Michigan State University Grand Rapids MI USA. Mercy Health Hauenstein Neuroscience Medical Center Grand Rapids MI USA. Center for Neurodegenerative Disease Research Department of Pathology and Laboratory Medicine University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Physiology Emory University School of Medicine Atlanta GA USA. MD/PhD Program Michigan State University Grand Rapids MI USA. Neurological Disorders Research Center Qatar Biomedical Research Institute (QBRI) Hamad Bin Khalifa University (HBKU) Education City Qatar. Life Sciences Division College of Science and Engineering Hamad Bin Khalifa University (HBKU) Education City Qatar. Department of Translational Science and Molecular Medicine Michigan State University 400 Monroe Avenue NW Grand Rapids MI 49503-2532 USA. caryl.sortwell@hc.msu.edu. Mercy Health Hauenstein Neuroscience Medical Center Grand Rapids MI USA. caryl.sortwell@hc.msu.edu.

After publication of the original article [1] it was noted that the name of author, D. Luke Fisher, was erroneously typeset in both the PDF and online formats of the manuscript as Luke D. Fisher.

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Euclid: Early Release Observations – A preview of the Euclid era through a galaxy cluster magnifying lens

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Astronomy and Astrophysics 2025年第1期697卷

作者： Atek, H. Gavazzi, R. Weaver, J.R. Diego, J.M. Schrabback, T. Hatch, N.A. Aghanim, N. Dole, H. Hartley, W.G. Taamoli, S. Congedo, G. Jimenez-Teja, Y. Cuillandre, J.-C. Bañados, E. Belladitta, S. Bowler, R.A.A. Franco, M. Jauzac, M. Mahler, G. Richard, J. Rocci, P.-F. Serjeant, S. Toft, S. Abriola, D. Bergamini, P. Biviano, A. Dimauro, P. Ezziati, M. Golden-Marx, J.B. Grillo, C. Hughes, A.C.N. Kang, Y. Kneib, J.-P. Lombardi, M. Mamon, G.A. McPartland, C.J.R. Meneghetti, M. Miyatake, H. Montes, M. Mortlock, D.J. Oesch, P.A. Okabe, N. Rosati, P. Taylor, A.N. Tarsitano, F. Weller, J. Kluge, M. Laureijs, R. Paltani, S. Saifollahi, T. Schirmer, M. Stone, C. Mora, A. Altieri, B. Amara, A. Andreon, S. Auricchio, N. Baldi, M. Balestra, A. Bardelli, S. Basset, A. Bender, R. Bodendorf, C. Bonino, D. Branchini, E. Brescia, M. Brinchmann, J. Camera, S. Candini, G.P. Capobianco, V. Carbone, C. Cardone, V.F. Carretero, J. Casas, S. Castander, F.J. Castellano, M. Cavuoti, S. Cimatti, A. Conselice, C.J. Conversi, L. Copin, Y. Corcione, L. Courbin, F. Courtois, H.M. Da Silva, A. Degaudenzi, H. Di Giorgio, A.M. Dinis, J. Douspis, M. Dubath, F. Dupac, X. Dusini, S. Ealet, A. Farina, M. Farrens, S. Ferriol, S. Fotopoulou, S. Frailis, M. Franceschi, E. Galeotta, S. Gillard, W. Gillis, B. Giocoli, C. Gómez-Alvarez, P. Grazian, A. Grupp, F. Guzzo, L. Hailey, M. Haugan, S.V.H. Hoar, J. Hoekstra, H. Holliman, M.S. Institut d’Astrophysique de Paris UMR 7095 CNRS Sorbonne Université 98 bis boulevard Arago Paris75014 France Aix-Marseille Université CNRS CNES LAM Marseille France Department of Astronomy University of Massachusetts AmherstMA01003 United States Instituto de Física de Cantabria Edificio Juan Jordá Avenida de los Castros Santander39005 Spain Universität Innsbruck Institut für Astro- und Teilchenphysik Technikerstr. 25/8 Innsbruck6020 Austria School of Physics and Astronomy University of Nottingham University Park NottinghamNG7 2RD United Kingdom Université Paris-Saclay CNRS Institut d’astrophysique spatiale Orsay91405 France Department of Astronomy University of Geneva ch. d’Ecogia 16 Versoix1290 Switzerland Physics and Astronomy Department University of California 900 University Ave. RiversideCA92521 United States Institute for Astronomy University of Edinburgh Royal Observatory Blackford Hill EdinburghEH9 3HJ United Kingdom Instituto de Astrofísica de Andalucía CSIC Glorieta de la Astronomía Granada18080 Spain Observatorio Nacional Rua General Jose Cristino 77-Bairro Imperial de Sao Cristovao Rio de Janeiro20921-400 Brazil Université Paris-Saclay Université Paris Cité CEA CNRS AIM Gif-sur-Yvette91191 France Max-Planck-Institut für Astronomie Königstuhl 17 Heidelberg69117 Germany INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna Via Piero Gobetti 93/3 Bologna40129 Italy Jodrell Bank Centre for Astrophysics Department of Physics and Astronomy University of Manchester Oxford Road ManchesterM13 9PL United Kingdom The University of Texas at Austin AustinTX78712 United States Department of Physics Centre for Extragalactic Astronomy Durham University South Road DH1 3LE United Kingdom Department of Physics Institute for Computational Cosmology Durham University South Road DH1 3LE United Kingdom Astrophysics Research Centre University of KwaZulu-Natal Westville Campus Durban4041 South Africa School of

We present the first analysis of the Euclid Early Release Observations (ERO) program that targets fields around two lensing clusters, Abell 2390 and Abell 2764. We use imaging data from the Visible instrument (VIS) and the Near-Infrared Spectrometer and Photometer (NISP) to produce photometric catalogs for a total of ∼500 000 objects. The imaging data reach a typical depth of 5 σ in the range 25.1–25.4 AB in the NISP bands and 27.1–27.3 AB in the VIS band. Using the Lyman-break method in combination with photometric redshifts, we searched for high-redshift galaxies. We identified 30 Lyman-break galaxy (LBG) candidates at z > 6 and 139 extremely red sources (ERSs), most of which likely lie at lower redshift. The VIS imaging is deeper than the NISP imaging, which means that we can routinely identify high-redshift Lyman-break galaxies at about a magnitude of 3, which reduces contamination by brown dwarf stars and low-redshift galaxies. The difficulty of spatially resolving most of these sources in 0′′ . 3 pix−1 imaging means that it is difficult to distinguish between galaxies and quasars. Spectroscopic follow-up campaigns of these bright sources will help us to constrain the bright end of the ultraviolet galaxy luminosity function and the quasar luminosity function at z > 6, and it will constrain the physical nature of these objects. Additionally, we performed a combined strong- and weak-lensing analysis of A2390, and we show that Euclid will contribute to constraining the virial mass of galaxy clusters better. We also identify optical and near-infrared counterparts of known z > 0.6 clusters in these data. These counterparts exhibit strong-lensing features. This establishes that Euclid can characterize high-redshift clusters. Finally, we provide a glimpse of the ability of Euclid to map the intracluster light out to larger radii than current facilities, which enables us to understand the cluster assembly history better and to map the dark matter distribution. This ini

关键词： Moon

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Author Correction: A large-scale RNA interference screen identifies genes that regulate autophagy at different stages

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Scientific reports 2019年第1期9卷 8382页

作者： Sujuan Guo Kevin J Pridham Ching-Man Virbasius Bin He Liqing Zhang Hanne Varmark Michael R Green Zhi Sheng Virginia Tech Carilion Research Institute Roanoke VA 24016 United States. Graduate Program in Translational Biology Medicine and Health Virginia Tech Blacksburg VA 24061 United States. Howard Hughes Medical Institute and Department of Molecular Cell and Cancer Biology University of Massachusetts Medical School Worcester MA 01605 United States. Department of Computer Science Virginia Tech Blacksburg VA 24061 United States. The Novo Nordisk Foundation Center for Basic Metabolic Research University of Copenhagen Copenhagen Denmark. Howard Hughes Medical Institute and Department of Molecular Cell and Cancer Biology University of Massachusetts Medical School Worcester MA 01605 United States. Michael.green@umassmed.edu. Virginia Tech Carilion Research Institute Roanoke VA 24016 United States. zhisheng@vtc.vt.edu. Department of Biological Sciences and Pathobiology Virginia-Maryland College of Veterinary Medicine Virginia Tech Blacksburg VA 24061 United States. zhisheng@vtc.vt.edu. Department of Internal Medicine Virginia Tech Carilion School of Medicine Roanoke VA 24016 United States. zhisheng@vtc.vt.edu. Faculty of Health Science Virginia Tech Blacksburg VA 24061 United States. zhisheng@vtc.vt.edu.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

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Dilute-nitride GaNP planar and core/shell microwire solar cells

Dilute-nitride GaNP planar and core/shell microwire solar ce...

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Indium Phosphide and Related Materials Conference

作者： Supanee Sukrittanon Ren Liu Janet L Pan Katherine L Jungjohann Shadi A Dayeh Charles W Tu Graduate Program of Materials Science and Engineering University of California San Diego United States of America Department of Electrical and Computer Engineering University of California San Diego United States of America Center for Integrated Nanotechnologies Sandia National Laboratories United States of America

ISBN: (纸本)9781509019656

Dilute nitride GaNP is potentially useful as the top junction in dual-junction solar cells on Si because it has a tunable direct-bandgap and small lattice mismatch with Si. Investigations on GaP are the first step toward this goal. Our best GaNP solar cell on GaP ([N] = 1.8%, Eg = 2.05 eV) achieves an efficiency of 7.9%, which is 3 times higher than the most efficient GaP solar cell to date and higher than other solar cells with similar direct bandgap (InGaP, GaAsP). We also report GaP/GaNP core/shell microwire solar cells utilizing top-down reactiveion etching to create the GaP cores and molecular beam epitaxy to create the GaNP shells. Systematic studies of cell performance over a series of microwire lengths, array periods, and sidewall morphologies, examined by transmission electron microscopy, were conducted to shed light on performance-limiting factors and to optimize the cell efficiency.

关键词： Photovoltaic cells Silicon Compounds computers Laboratories Junctions Lattices

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(OA32) Chronic Radiation-Associated Dysphagia in Oropharyngeal Cancer Survivors: Towards Age-Adjusted Dose Constraints for Deglutitive Muscles

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International Journal of Radiation Oncology*Biology*Physics 2018年第2期101卷 e14-e14页

作者： Kaitlin Christopherson Alokananda Ghosh Abdallah Sherif Radwan Mohamed Mona Jomaa G. Brandon Gunn Liz Marai Guadalupe Canahuate David Vock Timothy Dale Jayashree Kalpathy-Cramer Jay Messer Adam S. Garden Hesham Elhalawani Steven J. Frank Jan Lewin Stephen Y. Lai Beth M. Beadle William H. Morrison Clifton D. Fuller Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA Department of Biostatistics University of Texas School of Public Health Houston TX USA Department of Clinical Oncology University of Alexandria Alexandria Egypt Head and Neck Surgery The University of Texas MD Anderson Cancer Center Houston TX USA Department of Computer Science University of Pittsburgh Pittsburgh PA Thoracic & Head and Neck Oncology The University of Texas MD Anderson Cancer Center Houston TX USA Department of Electrical and Computer Engineering The University of Iowa Iowa City IA Division of Biostatistics School of Public Health University of Minnesota Minneapolis MN Baylor College of Medicine Houston TX USA Athinoula A. Martinos Center for Biomedical Imaging/Massachusetts General Hospital/Massachusetts Institute of Technology Charlestown MA USA Department of Radiation Oncology The University of Texas Medical Branch Galveston TX USA Department of Radiation Oncology Stanford University Palo Alto CA USA Medical Physics Program The University of Texas Graduate School of Biomedical Sciences Houston TX USA

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A miniaturized brain-machine-spinal cord interface (BMSI) for closed-loop intraspinal microstimulation

A miniaturized brain-machine-spinal cord interface (BMSI) fo...

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IEEE Biomedical Circuits and Systems (BIOCAS)

作者： Shahab Shahdoost Shawn Frost David Guggenmos Jordan Borrell Caleb Dunham Scott Barbay Randolph Nudo Pedram Mohseni Electrical Engineering and Computer Science Dept Case Western Reserve University Cleveland OH USA Rehabilitation Medicine Dept University of Kansas Medical Center Kansas City KS USA University of Kansas Medical Center Kansas City KS US Bioengineering Graduate Program University of Kansas Lawrence KS USA

ISBN: (纸本)9781509029600

This paper reports on a fully miniaturized brain-machine-spinal cord interface (BMSI) for closed-loop cortical control of intraspinal microstimulation (ISMS). The system incorporates two identical 4-channel modules, with each module comprising a neural recording front-end, embedded digital signal processing (DSP) unit, and programmable stimulating back-end. The DSP unit is capable of generating multichannel trigger signals for a wide array of ISMS triggering patterns based upon online discrimination of a programmable number of intracortical neural spikes within a pre-specified time bin via thresholding and time-amplitude windowing. The BMSI system is validated experimentally in a rat model of contusion spinal cord injury (SCI) by converting in real-time multichannel neural spikes recorded from the cerebral cortex into electrical stimuli delivered to the lumbar spinal cord below the level of the injury, resulting in distinct patterns of hindlimb muscle activation in the SCI rat.

关键词： Blanking Digital signal processing Rats Injuries Voltage measurement Spinal cord injury

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Publisher Correction: Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport

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Scientific reports 2018年第1期8卷 8019页

作者： Shiori Toba Mingyue Jin Masami Yamada Kanako Kumamoto Sakiko Matsumoto Takuo Yasunaga Yuko Fukunaga Atsuo Miyazawa Sakiko Fujita Kyoko Itoh Shinji Fushiki Hiroaki Kojima Hideki Wanibuchi Yoshiyuki Arai Takeharu Nagai Shinji Hirotsune Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka Fukuoka 820-850 Japan. JST-SENTAN 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. JST-CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. Graduate School of Life Science University of Hyogo 3-2-1 Kouto Kamigori-cho Ako-gun Hyogo 678-1297 Japan. RSC-University of Hyogo Leading Program Center RIKEN SPring-8 Center 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo 679-5148 Japan. Graduate School of Materials Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0101 Japan. Department of Pathology and Applied Neurobiology Kyoto Prefectural University of Medicine Graduate School of Medical Sciences Kajii-cho Kawaramachi-Hirokoji Kamigyo-ku Kyoto 602-8566 Japan. Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Kobe 651-2492 Japan. Department of Pathology Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8586 Japan. Department of Biomolecular Science and Engineering Institute of Scientific and Industrial Research Osaka University Mihoga-oka 8-1 Osaka 567-0047 Japan. Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. shinjih@med.osaka-cu.ac.jp.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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Managing distributed UCONabc policies with authorization assertions and policy templates 20

Managing distributed UCONabc policies with authorization ass...

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20th IEEE Symposium on computers and Communication, ISCC 2015

作者： Stihler, Maicon Santin, Altair O. Marcon, Arlindo L. Federal Center for Technological Education-CEFET-MG Department of Computing and Mechanics LeopoldinaMG Brazil Pontifical Catholic University of Parana-PUCPR Graduate Program on Computer Science-PPGIa CuritibaPR Brazil

ISBN: (纸本)9781467371940

Managing UCONabc policies in modern distributed computing systems is a challenge for traditional approaches. The provisioning model has trouble to keep track and to synchronize large numbers of distributed policies, outsourcing model may suffer from network overhead and single point of failure. This paper describes an approach to manage distributed UCONabc policies, derived from the combination of authorization assertions and policy templates. It combines the benefits of provisioning and outsourcing, eliminating their respective drawbacks. Prototyping details and performance evaluation are shown, messages are 42.7% smaller than provisioning and response times are faster than outsourcing. © 2015 IEEE.

关键词： Outsourcing

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Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges

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Scientific data 2017年第1期4卷 170077-170077页

作者： Hesham Elhalawani Abdallah S.R. Mohamed Aubrey L. White James Zafereo Andrew J. Wong Joel E. Berends Shady AboHashem Bowman Williams Jeremy M. Aymard Aasheesh Kanwar Subha Perni Crosby D. Rock Luke Cooksey Shauna Campbell Yao Ding Clifton D. Fuller Stephen Y. Lai Elisabeta G. Marai David Vock Guadalupe M. Canahuate John Freymann Keyvan Farahani Jayashree Kalpathy-Cramer Department of Radiation Oncology University of Texas MD Anderson Cancer Center Houston 77030 Texas USA Department of Clinical Oncology University of Alexandria Alexandria 21527 Egypt McGovern Medical School at University of Texas Health Science Center at Houston (UTHealth) Houston 77030 Texas USA University of Texas Health Science Center San Antonio 78229 Texas USA Department of Cardiology Harvard Medical School and Massachusetts General Hospital Boston 02115 Massachusetts USA Furman University Greenville 29613 South Carolina USA Abilene Christian University Abilene 79601 Texas USA Texas Tech University Health Sciences Center School of Medicine Lubbock 79905 Texas USA Columbia College of Physicians and Surgeons New York 10032 Massachusetts USA Texas Tech Health Sciences Center El Paso Paul L. Foster School of Medicine 79905 Texas USA Department of Radiation Oncology Cleveland Clinic Foundation Cleveland 44124 Ohio USA Department of Imaging Physic University of Texas MD Anderson Cancer Center Houston 77030 Texas USA Medical Physics Program University of Texas Graduate School of Biomedical Sciences Houston 77030 Texas USA Department of Head and Neck Surgery University of Texas MD Anderson Cancer Center Houston 77030 Texas USA Department of Computer Science University of Illinois at Chicago Chicago 60607 Illinois USA Department of Biostatistics University of Minnesota of Public Health Minneapolis 55455 Minnesota USA Department of Electrical & Computer Engineering University of Iowa Iowa City 52242 Iowa USA Leidos Biomedical Research Inc Frederick National Laboratory for Cancer Research Frederick 21701 Maryland USA The Russell H. Morgan Department of Radiology and Radiological Science Johns Hopkins Medical Institutions Baltimore 21287 Maryland USA National Cancer Institute National Institutes of Health Bethesda 20892 Maryland USA Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging Massachusetts Ge

Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors are treated with definitive (chemo)radiotherapy, and have local recurrence as a primary mode of clinical failure. Recent data suggest that 'radiomics', or extraction of image texture analysis to generate mineable quantitative data from medical images, can reflect phenotypes for various cancers. Several groups have shown that developed radiomic signatures, in head and neck cancers, can be correlated with survival outcomes. This data descriptor defines a repository for head and neck radiomic challenges, executed via a Kaggle in Class platform, in partnership with the MICCAI society 2016 annual *** public challenges were designed to leverage radiomics and/or machine learning workflows to discriminate HPV phenotype in one challenge (HPV status challenge) and to identify patients who will develop a local recurrence in the primary tumor volume in the second one (Local recurrence prediction challenge) in a segmented, clinically curated anonymized oropharyngeal cancer (OPC) data set.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROscience 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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