Author: "Pennsylvania Commonwealth System of Higher Education (PCSHE)" - Searchworks@Jio Institute Digital Library Search Results

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872 results on '"Pennsylvania Commonwealth System of Higher Education (PCSHE)"'

1. The effects of digital elevation model resolution on the PyFLOWGO thermorheological lava flow model

Author: Flynn, Ian, Chevrel, Magdalena Oryaëlle, Crown, David, Ramsey, Michael, Department of Geology and Environmental Science [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Laboratoire Magmas et Volcans (LMV), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement et la société-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Observatoire Volcanologique du Piton de la Fournaise (OVPF), Institut de Physique du Globe de Paris (IPG Paris), Planetary Science Institute [Tucson] (PSI), ANR-10-LABX-0006,CLERVOLC,Clermont-Ferrand centre for research on volcanism(2010), and ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016)
Subjects: FLOWGO, Topography, Tolbachik, Planetary science, DEM, [SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/Volcanology, Volcanology, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Volcanic eruption, Sensitivity analysis
Abstract: co-auteur étranger; International audience; Topography is a fundamental factor influencing the emplacement of lava flows. We assess the impact of topographic resolution on the thermorheological PyFLOWGO model, specifically with digital elevation model (DEM) resolutions commonly available for Earth and other planetary bodies where flow modeling is relevant. We examined PyFLOWGO output parameters (e.g., channel length, core temperature, and flow velocity) to assess model sensitivity to topography in order to document model uncertainties and optimize future application. This study uses rheologic and topographic data from the Tolbachik, Russia 2012–2013 eruption as model constraints. Using moderate to lower resolution topographic data overestimates the channelized flow length by up to 35% due to differences in the distribution of slopes topographic variability at different resolutions and resulting effects on the modeled lava velocity down channel. Determining the impact of topography on thermorheological lava flow models such as PyFLOWGO is important to correctly interpret the results for channelized flows.
Published: 2023

2. A standardized nomenclature and atlas of the female terminalia of Drosophila melanogaster

Author: Eden W. McQueen, Mehrnaz Afkhami, Joel Atallah, John M. Belote, Nicolas Gompel, Yael Heifetz, Yoshitaka Kamimura, Shani C. Kornhauser, John P. Masly, Patrick O’Grady, Julianne Peláez, Mark Rebeiz, Gavin Rice, Ernesto Sánchez-Herrero, Maria Daniela Santos Nunes, Augusto Santos Rampasso, Sandra L. Schnakenberg, Mark L. Siegal, Aya Takahashi, Kentaro M. Tanaka, Natascha Turetzek, Einat Zelinger, Virginie Courtier-Orgogozo, Masanori J. Toda, Mariana F. Wolfner, Amir Yassin, Ludwig-Maximilians-Universität München (LMU), The Hebrew University of Jerusalem (HUJ), University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Computer Science - University of Pittsburgh, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), The Robert H. Smith Faculty of Agriculture, Food and Environment, University of Jerusalem, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Evolution, génomes, comportement et écologie (EGCE), Institut de Recherche pour le Développement (IRD)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and ANR-18-CE02-0008,TOXIPHILA,Bases génomiques de la spécialisation convergente sur une plante toxique chez deux espèces de drosophile(2018)
Subjects: [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, anatomy, Drosophila melanogaster, Insect Science, terminalia, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], anatomy_morphology, nomenclature, Genitalia
Abstract: International audience; The model organism Drosophila melanogaster has become a focal system for investigations of rapidly evolving genital morphology as well as the development and functions of insect reproductive structures. To follow up on a previous paper outlining unifying terminology for the structures of the male terminalia in this species, we offer here a detailed description of the female terminalia of D. melanogaster. Informative diagrams and micrographs are presented to provide a comprehensive overview of the external and internal reproductive structures of females. We propose a collection of terms and definitions to standardize the terminology associated with the female terminalia in D. melanogaster and we provide a correspondence table with the terms previously used. Unifying terminology for both males and females in this species will help to facilitate communication between various disciplines, as well as aid in synthesizing research across publications within a discipline that has historically focused principally on male features. Our efforts to refine and standardize the terminology should expand the utility of this important model system for addressing questions related to the development and evolution of animal genitalia, and morphology in general.
Published: 2022

3. StaNdaRT: a repository of standardised test models and outputs for supernova radiative transfer

Author: Stéphane Blondin, Sergei Blinnikov, Fionntan P. Callan, Christine E. Collins, Luc Dessart, Wesley Even, Andreas Flörs, Andrew G. Fullard, D. John Hillier, Anders Jerkstrand, Daniel Kasen, Boaz Katz, Wolfgang Kerzendorf, Alexandra Kozyreva, Jack O’Brien, Ezequiel A. Pássaro, Nathaniel Roth, Ken J. Shen, Luke Shingles, Stuart A. Sim, Jaladh Singhal, Isaac G. Smith, Elena Sorokina, Victor P. Utrobin, Christian Vogl, Marc Williamson, Ryan Wollaeger, Stan E. Woosley, Nahliel Wygoda, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Laboratoire Franco-Chilien d'Astronomie (LFCA), Universidad de Chile = University of Chile [Santiago] (UCHILE)-Pontificia Universidad Católica de Chile (UC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Universidad de Concepción - University of Concepcion [Chile], Institute of Theoretical and Experimental Physics [Moscow] (ITEP), National Research Center 'Kurchatov Institute' (NRC KI), Sternberg Astronomical Institute [Moscow], Lomonosov Moscow State University (MSU), Kavli Institute for the Physics and Mathematics of the Universe [Tokyo] (Kavli IPMU), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo (UTokyo)-The University of Tokyo (UTokyo), Queen's University [Belfast] (QUB), GSI Helmholtzzentrum für Schwerionenforschung (GSI), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Los Alamos National Laboratory (LANL), Michigan State University [East Lansing], Michigan State University System, Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Oskar Klein Centre [Stockholm], Stockholm University, Department of Astronomy [Berkeley], University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Weizmann Institute of Science [Rehovot, Israël], Max-Planck-Institut für Astrophysik (MPA), Max-Planck-Gesellschaft, Facultad de Ciencias Astronómicas y Geofísicas [La Plata] (FCAGLP), Universidad Nacional de la Plata [Argentine] (UNLP), University of California (UC), Institute of Astronomy of the Russian Academy of Sciences (INASAN), Russian Academy of Sciences [Moscow] (RAS), New York University [New York] (NYU), NYU System (NYU), Department of Physics and Astronomy [BatonRouge] (LSU), Louisiana State University (LSU), University of California [Santa Cruz] (UC Santa Cruz), and Nuclear Research Center-Negev (NRCN)
Subjects: High Energy Astrophysical Phenomena (astro-ph.HE), [SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], [SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], general [Supernovae], FOS: Physical sciences, Astronomy and Astrophysics, supernovae: general, Astrophysics - Solar and Stellar Astrophysics, radiative transfer, [SDU]Sciences of the Universe [physics], Space and Planetary Science, Radiative transfer, ddc:520, Astrophysics - High Energy Astrophysical Phenomena, Solar and Stellar Astrophysics (astro-ph.SR)
Abstract: We present the first results of a comprehensive supernova (SN) radiative-transfer (RT) code-comparison initiative (StaNdaRT), where the emission from the same set of standardized test models is simulated by currently-used RT codes. A total of ten codes have been run on a set of four benchmark ejecta models of Type Ia supernovae. We consider two sub-Chandrasekhar-mass ($M_\mathrm{tot} = 1.0$ M$_\odot$) toy models with analytic density and composition profiles and two Chandrasekhar-mass delayed-detonation models that are outcomes of hydrodynamical simulations. We adopt spherical symmetry for all four models. The results of the different codes, including the light curves, spectra, and the evolution of several physical properties as a function of radius and time, are provided in electronic form in a standard format via a public repository. We also include the detailed test model profiles and several python scripts for accessing and presenting the input and output files. We also provide the code used to generate the toy models studied here. In this paper, we describe in detail the test models, radiative-transfer codes and output formats and provide access to the repository. We present example results of several key diagnostic features., Accepted for publication in A&A. 27 pages, 12 figures (v4: updated to match published version). The ejecta models and output files from the simulations are available at https://github.com/sn-rad-trans/data1
Published: 2022

4. A space-time multiscale mortar mixed finite element method for parabolic equations

Author: Manu Jayadharan, Michel Kern, Martin Vohralík, Ivan Yotov, Department of Mathematics, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Simulation for the Environment: Reliable and Efficient Numerical Algorithms (SERENA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique (CERMICS), École des Ponts ParisTech (ENPC), and European Project: 647134,H2020 ERC,ERC-2014-CoG,GATIPOR(2015)
Subjects: Numerical Analysis, Computational Mathematics, Applied Mathematics, FOS: Mathematics, Numerical Analysis (math.NA), Mathematics - Numerical Analysis, Mixed finite element method, Space-time formulation, Mortar method, Space-time domain decomposition method, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract: International audience We develop a space-time mortar mixed finite element method for parabolic problems. The domain is decomposed into a union of subdomains discretized with non-matching spatial grids and asynchronous time steps. The method is based on a space-time variational formulation that couples mixed finite elements in space with discontinuous Galerkin in time. Continuity of flux (mass conservation) across space-time interfaces is imposed via a coarse-scale space-time mortar variable that approximates the primary variable. Uniqueness, existence, and stability, as well as a priori error estimates for the spatial and temporal errors are established. A space-time non-overlapping domain decomposition method is developed that reduces the global problem to a space-time coarse-scale mortar interface problem. Each interface iteration involves solving in parallel space-time subdomain problems. The spectral properties of the interface operator and the convergence of the interface iteration are analyzed. Numerical experiments are provided that illustrate the theoretical results and the flexibility of the method for modeling problems with features that are localized in space and time.
Published: 2022

5. Universality classes of transition fronts in the FPU model

Author: Gorbushin, N, Vainchtein, A, Truskinovsky, L, Physique et mécanique des milieux hétérogenes (UMR 7636) (PMMH), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Department of mathematics - University of Pittsburgh, University of Pittsburgh (PITT), and Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)
Subjects: [PHYS.MECA.MSMECA]Physics [physics]/Mechanics [physics]/Materials and structures in mechanics [physics.class-ph], Nonlinear Sciences::Pattern Formation and Solitons
Abstract: Steady transition fronts in nonlinear lattices are among the most important dynamic coherent structures. We use the Fermi-Pasta-Ulam model with piecewise linear nonlinearity to show that there are exactly three distinct classes of such fronts which differ fundamentally in how (and whether) they produce and transport oscillations. To make this Hamiltonian problem analytically transparent, we construct a quasicontinuum approximation generating all three types of fronts and then show that the interconnection between different classes of fronts in the original discrete model is the same as in the quasicontinuum model. The proposed framework unifies previous attempts to classify the transition fronts as radiative, dispersive, topological or compressive and categorizes them instead as different types of dynamic defects.
Published: 2021

6. Irregular timing of population cycles

Author: Rubin, Jonathan, Earn, David, Greenwood, Priscilla, Parsons, Todd L., Abbott, Karen, University of Pittsburgh (DEPARTMENT OF MATHEMATICS), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), McMaster University [Hamilton, Ontario], University of British Columbia (UBC), Laboratoire de Probabilités, Statistiques et Modélisations (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), and Case Western Reserve University [Cleveland]
Subjects: variable cycle period, [SDV]Life Sciences [q-bio], saddle crawlby, predator-prey, environmental stochasticity, Rosenzweig-MacArthur
Published: 2021

7. Cross-scale excitability in networks of quadratic integrate-and-fire neurons

Author: Daniele Avitabile, Mathieu Desroches, G. Bard Ermentrout, Department of Mathematics [Amsterdam], Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Mathématiques pour les Neurosciences (MATHNEURO), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Côte d'Azur (UCA), University of Pittsburgh (DEPARTMENT OF MATHEMATICS), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Mathematics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Neuroscience - Systems & Network Neuroscience, Vrije Universiteit Amsterdam [Amsterdam] (VU), Department of Mathematics [Pittsburgh], and Department of Mathematics, Vrije Universiteit Amsterdam
Subjects: Neurons, Ecology, [SCCO.NEUR]Cognitive science/Neuroscience, Models, Neurological, [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS], Action Potentials, QIF neurons, mean-field limit, Ott-Antonsen ansatz, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Modeling and Simulation, slow-fast dynamics, Genetics, Calcium, Computer Simulation, canards, bursting, Molecular Biology, Ecology, Evolution, Behavior and Systematics
Abstract: From the action potentials of neurons and cardiac cells to the amplification of calcium signals in oocytes, excitability is a hallmark of many biological signalling processes. In recent years, excitability in single cells has been related to multiple-timescale dynamics through canards, special solutions which determine the effective thresholds of the all-or-none responses. However, the emergence of excitability in large populations remains an open problem. Here, we show that the mechanism of excitability in large networks and mean-field descriptions of coupled quadratic integrate-and-fire (QIF) cells mirrors that of the individual components. We initially exploit the Ott-Antonsen ansatz to derive low-dimensional dynamics for the coupled network and use it to describe the structure of canards via slow periodic forcing. We demonstrate that the thresholds for onset and offset of population firing can be found in the same way as those of the single cell. We combine theoretical analysis and numerical computations to develop a novel and comprehensive framework for excitability in large populations, applicable not only to models amenable to Ott-Antonsen reduction, but also to networks without a closed-form mean-field limit, in particular sparse networks.
Published: 2021

8. Nonretinoid chaperones improve rhodopsin homeostasis in a mouse model of retinitis pigmentosa

Author: Abhishek Vats, Yibo Xi, Bing Feng, Owen D. Clinger, Anthony J. St. Leger, Xujie Liu, Archisha Ghosh, Chase D. Dermond, Kira L. Lathrop, Gregory P. Tochtrop, Serge Picaud, Yuanyuan Chen, McGowan Institute for Regenerative Medicine [Pittsburgh, PA, USA] (MGIRM), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Pennsylvania Commonwealth System of Higher Education (PCSHE), Case Western Reserve University [Cleveland], Institut de la Vision, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Marazova, Katia
Subjects: Pharmacology, [SDV.GEN]Life Sciences [q-bio]/Genetics, Rhodopsin, [SDV]Life Sciences [q-bio], G protein–coupled receptors, General Medicine, [SDV.GEN] Life Sciences [q-bio]/Genetics, [SDV] Life Sciences [q-bio], Ophthalmology, Disease Models, Animal, Mice, Retinal Rod Photoreceptor Cells, NIH 3T3 Cells, Animals, Homeostasis, Retinitis Pigmentosa, Neuroscience, Protein misfolding, Molecular Chaperones
Abstract: International audience; Rhodopsin-associated (RHO-associated) retinitis pigmentosa (RP) is a progressive retinal disease that currently has no cure. RHO protein misfolding leads to disturbed proteostasis and the death of rod photoreceptors, resulting in decreased vision. We previously identified nonretinoid chaperones of RHO, including YC-001 and F5257-0462, by small-molecule high-throughput screening. Here, we profile the chaperone activities of these molecules toward the cell-surface level of 27 RP-causing human RHO mutants in NIH3T3 cells. Furthermore, using retinal explant culture, we show that YC-001 improves retinal proteostasis by supporting RHO homeostasis in RhoP23H/+ mouse retinae, which results in thicker outer nuclear layers (ONL), indicating delayed photoreceptor degeneration. Interestingly, YC-001 ameliorated retinal immune responses and reduced the number of microglia/macrophages in the RhoP23H/+ retinal explants. Similarly, F5257-0462 also protects photoreceptors in RhoP23H/+ retinal explants. In vivo, intravitreal injection of YC-001 or F5257-0462 microparticles in PBS shows that F5257-0462 has a higher efficacy in preserving photoreceptor function and delaying photoreceptor death in RhoP23H/+ mice. Collectively, we provide proof of principle that nonretinoid chaperones are promising drug candidates in treating RHO-associated RP.
Published: 2021

9. Resolving Between Novelty and Homology in the Rapidly Evolving Phallus of Drosophila

Author: Amir Yassin, Jean R. David, Gavin R. Rice, Nicolas Gompel, Mark Rebeiz, Évolution, génomes, comportement et écologie (EGCE), Centre National de la Recherche Scientifique (CNRS)-IRD-Université Paris-Sud - Paris 11 (UP11), Department of Computer Science - University of Pittsburgh, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Evolution, génomes, comportement et écologie (EGCE), Institut de Recherche pour le Développement (IRD)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), and Ludwig-Maximilians-Universität München (LMU)
Subjects: 0106 biological sciences, [SDV]Life Sciences [q-bio], Gene regulatory network, Morphology (biology), 010603 evolutionary biology, 01 natural sciences, Article, Homology (biology), 03 medical and health sciences, Genetics, Melanogaster, Drosophila (subgenus), Process (anatomy), Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0303 health sciences, biology, Phallus (fungus), fungi, food and beverages, biology.organism_classification, Evolutionary biology, Molecular Medicine, Animal Science and Zoology, Drosophila melanogaster, Developmental Biology
Abstract: The genitalia present some of the most rapidly evolving anatomical structures in the animal kingdom, possessing a variety of parts that can distinguish recently diverged species. In the Drosophila melanogaster group, the phallus is adorned with several processes, pointed outgrowths, that are similar in size and shape between species. However, the complex three-dimensional nature of the phallus can obscure the exact connection points of each process. Previous descriptions based upon adult morphology have primarily assigned phallic processes by their approximate positions in the phallus and have remained largely agnostic regarding their homology relationships. In the absence of clearly identified homology, it can be challenging to model when each structure first evolved. Here, we employ a comparative developmental analysis of these processes in eight members of the melanogaster species group to precisely identify the tissue from which each process forms. Our results indicate that adult phallic processes arise from three pupal primordia in all species. We found that in some cases the same primordia generate homologous structures whereas in other cases, different primordia produce phenotypically similar but remarkably non-homologous structures. This suggests that the same gene regulatory network may have been redeployed to different primordia to induce phenotypically similar traits. Our results highlight how traits diversify and can be redeployed, even at short evolutionary scales.Research HighlightBy incorporating developmental analysis, we find that genital structures previously identified as homologs are novel structures. This highlights how developmental analysis can help resolve contentious claims of homology.
Published: 2021

10. Sound Event Detection in the DCASE 2017 Challenge

Author: Bhiksha Raj, Toni Heittola, Emmanuel Vincent, Tuomas Virtanen, Benjamin Elizalde, Aleksandr Diment, Annamaria Mesaros, Tampere University of Technology [Tampere] (TUT), Computer Science Department - Carnegie Mellon University, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Speech Modeling for Facilitating Oral-Based Communication (MULTISPEECH), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Tampere University, and Computing Sciences
Subjects: Acoustics and Ultrasonics, Computer science, jackknife estimates, Machine learning, computer.software_genre, Task (project management), 030507 speech-language pathology & audiology, 03 medical and health sciences, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Computer Science (miscellaneous), Electrical and Electronic Engineering, weak labels, confidence intervals, business.industry, pattern recognition, Maximization, 113 Computer and information sciences, sound event detection, Computational Mathematics, Ranking, Pattern recognition (psychology), Metric (mathematics), Minification, Artificial intelligence, 0305 other medical science, business, Jackknife resampling, computer, Test data
Abstract: Each edition of the challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) contained several tasks involving sound event detection in different setups. DCASE 2017 presented participants with three such tasks, each having specific datasets and detection requirements: Task 2, in which target sound events were very rare in both training and testing data, Task 3 having overlapping events annotated in real-life audio, and Task 4, in which only weakly labeled data were available for training. In this paper, we present three tasks, including the datasets and baseline systems, and analyze the challenge entries for each task. We observe the popularity of methods using deep neural networks, and the still widely used mel frequency-based representations, with only few approaches standing out as radically different. Analysis of the systems behavior reveals that task-specific optimization has a big role in producing good performance; however, often this optimization closely follows the ranking metric, and its maximization/minimization does not result in universally good performance. We also introduce the calculation of confidence intervals based on a jackknife resampling procedure to perform statistical analysis of the challenge results. The analysis indicates that while the 95% confidence intervals for many systems overlap, there are significant differences in performance between the top systems and the baseline for all tasks. acceptedVersion
Published: 2019

11. A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation

Author: Tábita Hünemeier, Andres Ruiz-Linares, Samuel Canizales-Quinteros, Christel Thauvin-Robinet, Betty Bonfante, Juan Camilo Chacón-Duque, Laurence Duplomb, Charlotte Montillot, Sagnik Palmal, Javier Mendoza-Revilla, Justin Cotney, Laurence Faivre, Seth M. Weinberg, Victor Acuña-Alonzo, Emma Wentworth, Philip H. Jones, Claudia Jaramillo, Caroline Costedoat, Morgane Dubied, David J. Balding, Manfred Kayser, Pierre Faux, Francisco Rothhammer, Mirsha Sánchez-Quinto, Carla Gallo, Paola Everardo-Martínez, Macarena Fuentes-Guajardo, Evie Stergiakouli, Pirro G. Hysi, Ziyi Xiong, Giovanni Poletti, Ceferino Varón-González, Rodrigo Barquera, Maria Cátira Bortolini, Laurence J. Howe, Lauriane Poloni, Rolando González-José, Valeria Villegas, Malena Hurtado, Kaustubh Adhikari, William Arias, Vanessa Granja, Lavinia Schuler-Faccini, Virginia Ramallo, John R. Shaffer, Timothy C. Cox, Tim D. Spector, Gabriel Bedoya, Hugo Villamil-Ramírez, Caio Cesar Silva de Cerqueira, Fan Liu, Binnaz Yalcin, Jorge Gómez-Valdés, Nicolas Navarro, Anthropologie bio-culturelle, Droit, Ethique et Santé (ADES), Aix Marseille Université (AMU)-EFS ALPES MEDITERRANEE-Centre National de la Recherche Scientifique (CNRS), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL), Universidad Peruana Cayetano Heredia (UPCH), Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Equipe GAD (LNC - U1231), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), University of Connecticut Health Center [Farmington], Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), University College of London [London] (UCL), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Universidad de Tarapaca, The Natural History Museum [London] (NHM), Universidad de Antioquia = University of Antioquia [Medellín, Colombia], National School of Anthropology and History [Mexico City, Mexico] (NSAH), Max Planck Institute for the Science of Human History (MPI-SHH), Max-Planck-Gesellschaft, Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Instituto Nacional de Medicina Genomica, Scientific Police of São Paulo State [Ourinhos, Brazil], Universidade de São Paulo = University of São Paulo (USP), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), Centro Nacional Patagónico (CENPAT), Beijing Genomics Institute [Shenzhen] (BGI), University of Chinese Academy of Sciences [Beijing] (UCAS), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), University of Bristol [Bristol], King‘s College London, FHU TRANSLAD (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), University of Melbourne, University of Missouri [Kansas City] (UMKC), University of Missouri System, The Open University [Milton Keynes] (OU), Fudan University [Shanghai], Work leading to this publication was funded by grants from the National Natural Science Foundation of China (#31771393), the Scientific and Technology Committee of Shanghai Municipality (18490750300), the Ministry of Science and Technology of China (2020YFE0201600), the Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) and the 111 Project (B13016), the Leverhulme Trust (F/07 134/DF), BBSRC (BB/I021213/1), the Excellence Initiative of Aix-Marseille University–A*MIDEX (a French 'Investissements d’Avenir' program), Universidad de Antioquia (CODI sostenibilidad de grupos 2013-2014 and MASO 2013-2014), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (Apoio a Núcleos de Excelência Program), Fundação de Aperfeiçoamento de Pessoal de Nível Superior, the National Institute of Dental and Craniofacial Research (R01-DE027023, U01-DE020078, R01-DE016148, and X01-HG007821), and a Santander Research and Scholarship Award. B.B. is supported by a doctoral scholarship from Ecole Doctorale 251 Aix-Marseille Université., ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011), Biogéosciences [UMR 6282] [Dijon] (BGS), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, École pratique des hautes études (EPHE), Laboratorios de Investigación y Desarrollo (LID), Unit of Human Evolutionary Genetics, Centre de génétique - Centre de référence des maladies rares, anomalies du développement et syndromes malformatifs (CHU de Dijon), Department of Genetics and Genome Sciences, University of Connecticut (UCONN), Muséum national d'Histoire naturelle (MNHN)-École pratique des hautes études (EPHE), Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, Department of Genetic Identification, Departamento de Tecnología Médica, Division of Vertebrates and Anthropology, Genética Molecular (GENMOL), Molecular Genetics Laboratory, National School of Anthropology and History, Department of Archaeogenetics [Jena] (DAG), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Forensic Science, Universidad Nacional Autónoma de México (UNAM), Unidad de Genomica de Poblaciones Aplicada a la Salud, Universidad Nacional Autónoma de México (UNAM)-Instituto Nacional de Medicina Genomica, Scientific Police of São Paulo State, Departamento de Genética e Biologia Evolutiva, Universidade de São Paulo (USP), Departamento de Genética, Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS)-Instituto de Biociencias, Instituto Patagónico de Ciencias Sociales y Humanas, Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Key Laboratory of Genomic and Precision Medicine [Beijing, China], Beijing Genomics Institute [Shenzhen] (BGI)-University of Chinese Academy of Sciences [Beijing] (UCAS), Center for Craniofacial and Dental Genetics, University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Human Genetics, Department of Anthropology, Medical Research Council Integrative Epidemiology Unit, University of the West of England [Bristol] (UWE Bristol), School of Oral and Dental Sciences, Department of Twin Research & Genetic Epidemiology, King's College London, Facultad de Medicina & Instituto de Alta Investigacion, Universidad de Tarapaca-Universidade de Chile, Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne-University of Melbourne, Department of Oral and Craniofacial Sciences, University of Missouri System-University of Missouri System, School of Mathematics and Statistics [Milton Keynes], Faculty of Science, Technology, Engineering and Mathematics [Milton Keynes], The Open University [Milton Keynes] (OU)-The Open University [Milton Keynes] (OU), State Key Laboratory of Genetics Engineering & MOE Key Laboratory of Contemporary Anthropology, Fudan University [Shanghai]-School of Life Sciences, Work leading to this publication was funded by grantsfrom the National Natural Science Foundation of China (#31771393), the Scientific andTechnology Committee of Shanghai Municipality (18490750300), the Ministry ofScience and Technology of China (2020YFE0201600), the Shanghai Municipal Scienceand Technology Major Project (2017SHZDZX01) and the 111 Project (B13016), theLeverhulme Trust (F/07 134/DF), BBSRC (BB/I021213/1), the Excellence Initiative ofAix-Marseille University–A*MIDEX (a French 'Investissements d’Avenir' program),Universidad de Antioquia (CODI sostenibilidad de grupos 2013-2014 and MASO 2013-2014), Conselho Nacional de Desenvolvimento Científico e Tecnológico,Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (Apoio a Núcleos deExcelência Program), Fundação de Aperfeiçoamento de Pessoal de Nível Superior, theNational Institute of Dental and Craniofacial Research (R01-DE027023, U01-DE020078,R01-DE016148, and X01-HG007821), and a Santander Research and Scholarship Award.B.B. is supported by a doctoral scholarship from Ecole Doctorale 251 Aix-MarseilleUniversité., and Genetic Identification
Subjects: haplotype, Latin Americans, [SDV]Life Sciences [q-bio], [SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropology, Vesicular Transport Proteins, Genome-wide association study, Genome-wide association studies, Regulatory sequences, purl.org/becyt/ford/1 [https], Mice, 0302 clinical medicine, Native Americans, single nucleotide polymorphism, GWAS, 10. No inequality, Two-dimensional profiles, Research Articles, Mammals, 0303 health sciences, Multidisciplinary, biology, adult, article, SciAdv r-articles, Genomic regions, Hispanic or Latino, craniofacial development, VPS13B, GENÉTICA, Phenotype, American Indian, regulatory sequence, HUMAN POPULATION, Research Article, Morphology, Latin americans, Genotype, animal experiment, introgression, Introgression, Polymorphism, Single Nucleotide, Homo denisovan, 03 medical and health sciences, male, Animals, Humans, controlled study, human, Craniofacial, Facial feature, purl.org/becyt/ford/1.6 [https], Denisovan, Gene, mouse, 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, nonhuman, genome-wide association study, Haplotype, face, Human Genetics, Single nucleotide polymorphisms, biology.organism_classification, photography, thickness, purl.org/pe-repo/ocde/ford#3.01.02 [https], facies, DENOSIVAN HAPLOTYPE, Evolutionary biology, Anthropology, Face, 030217 neurology & neurosurgery, purl.org/pe-repo/ocde/ford#1.06.07 [https], Genome-Wide Association Study
Abstract: We carried out a genome-wide association study in Latin Americans and identified novel face morphology loci.., To characterize the genetic basis of facial features in Latin Americans, we performed a genome-wide association study (GWAS) of more than 6000 individuals using 59 landmark-based measurements from two-dimensional profile photographs and ~9,000,000 genotyped or imputed single-nucleotide polymorphisms. We detected significant association of 32 traits with at least 1 (and up to 6) of 32 different genomic regions, more than doubling the number of robustly associated face morphology loci reported until now (from 11 to 23). These GWAS hits are strongly enriched in regulatory sequences active specifically during craniofacial development. The associated region in 1p12 includes a tract of archaic adaptive introgression, with a Denisovan haplotype common in Native Americans affecting particularly lip thickness. Among the nine previously unidentified face morphology loci we identified is the VPS13B gene region, and we show that variants in this region also affect midfacial morphology in mice.
Published: 2021

12. Partial regularity for fractional harmonic maps into spheres

Author: Vincent Millot, Armin Schikorra, Marc Pegon, Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA), Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pittsburgh (DEPARTMENT OF MATHEMATICS), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), ANR-14-CE25-0009,MAToS,Analyse des singularités topologiques dans quelques problèmes issus de la physique mathématique(2014), and Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Fédération de Recherche Bézout-Université Paris-Est Marne-la-Vallée (UPEM)
Subjects: Pure mathematics, Mechanical Engineering, 010102 general mathematics, Harmonic map, Complex system, 16. Peace & justice, 01 natural sciences, Set (abstract data type), Mathematics (miscellaneous), Mathematics - Analysis of PDEs, Hausdorff dimension, 0103 physical sciences, FOS: Mathematics, Order (group theory), [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], SPHERES, 010307 mathematical physics, 0101 mathematics, Analysis, Analysis of PDEs (math.AP), Mathematics
Abstract: International audience; This article addresses the regularity issue for stationary or minimizing fractional harmonic maps into spheres of order s ∈ (0, 1) in arbitrary dimensions. It is shown that such fractional harmonic maps are C ∞ away from a small closed singular set. The Hausdorff dimension of the singular set is also estimated in terms of s ∈ (0, 1) and the stationar-ity/minimality assumption.
Published: 2021

13. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author: Samuel Kuperman, Leila Karhunen, Geòrgia Escaramís, Sébastien Guillaume, Kelly L. Klump, David C. Whiteman, Colin A. Hodgkinson, Stephanie H. Witt, Artemis Tsitsika, Hana Papezova, Renato Polimanti, P. Eline Slagboom, Peter Zill, Jakob Grove, Toni-Kim Clarke, Michael Soyka, Jennifer Jordan, Steven Gallinger, Philip Gorwood, Preben Bo Mortensen, Yuri Milaneschi, Ingrid Meulenbelt, Jen Chyong Wang, Markus M. Nöthen, Katrin Männik, Henry R. Kranzler, Michael M. Vanyukov, Anna Keski-Rahkonen, William G. Iacono, Raymond K. Walters, Stephanie Le Hellard, Bochao Danae Lin, Vesna Boraska Perica, Marion Roberts, Patrick F. Sullivan, Steven Crawford, Mark A. Frye, Melissa A. Munn-Chernoff, Hakon Hakonarson, Andreas Birgegård, Robert Culverhouse, Alexis C. Edwards, Jerome C. Foo, Alessandro Rotondo, Brenda W.J.H. Penninx, Laura M. Hack, Michael T. Lynskey, Mario Maj, Alessio Maria Monteleone, Ted Reichborn-Kjennerud, Julie K. O'Toole, Marta Tyszkiewicz-Nwafor, Matt McGue, Julien Bryois, Martina de Zwaan, Norbert Dahmen, Stefanie Heilmann-Heimbach, Deborah Kaminská, Benedetta Nacmias, Nicholas G. Martin, Anna R. Docherty, Christopher Hübel, Nancy L. Pedersen, Janet Treasure, William E. Copeland, Roger A.H. Adan, Jaakko Kaprio, Aarno Palotie, L. John Horwood, Maria La Via, Philippe Courtet, Virpi M. Leppä, Judy L. Silberg, Jason D. Boardman, Fazil Aliev, Wade H. Berrettini, Doo Sup Choi, Youl-Ri Kim, Konstantinos Hatzikotoulas, Harriet de Wit, Sandra A. Brown, Elisabeth Widen, Caroline Hayward, Nicholas J. Schork, Penelope A. Lind, Ralph E. Tarter, Jana Strohmaier, Allan S. Kaplan, Richard A. Grucza, Bradley T. Webb, Angela Favaro, Dalila Pinto, Helena Gaspar, Andrew W. Bergen, Beate Herpertz-Dahlmann, Robert Levitan, Wolfgang Gäbel, Xavier Estivill, Emma C. Johnson, Konstantinos Tziouvas, Lindsay A. Farrer, Lenka Foretova, Marc A. Schuckit, Joanna M. Biernacka, André Scherag, Robbee Wedow, Abraham A. Palmer, Amy E. Adkins, Franziska Degenhardt, Louisa Degenhardt, Jurjen J. Luykx, Marius Lahti-Pulkkinen, Brien P. Riley, Monika Ridinger, Matteo Cassina, Harry Brandt, Yiran Guo, Stephan Ripke, Palmiero Monteleone, Katri Räikkönen, Jonathan R. I. Coleman, Martin A. Kennedy, Stephen W. Scherer, Ioanna Tachmazidou, Catherine M. Olsen, Bernice Porjesz, Esther Walton, Yi-Ling Chou, Nicolas Ramoz, Tetsuya Ando, Andres Metspalu, Bertram Müller-Myhsok, Brion S. Maher, Sarah Bertelsen, Melanie L. Schwandt, Janiece E. DeSocio, Margaret Keyes, John F. Pearson, Dongbing Lai, Paul Lichtenstein, James MacKillop, George Dedoussis, Jari Lahti, Ulrike Schmidt, Stefan Ehrlich, Amanda G. Wills, Teemu Palviainen, David Goldman, Elena Tenconi, Dimitris Dikeos, Scott I. Vrieze, Sietske G. Helder, Katharina Buehren, Hongyu Zhao, Sara McDevitt, Jolanta Lissowska, Joseph M. Boden, Li-Shiun Chen, Susanne Lucae, Sara Marsal, Dan Rujescu, Claes Norring, Howard J. Edenberg, Victor M. Karpyak, Fragiskos Gonidakis, Per Hoffmann, Christopher S. Franklin, Karin Egberts, Johanna Giuranna, Stefan Herms, Leah Wetherill, Stephanie Zerwas, Anthony Batzler, Elliot C. Nelson, Jouke-Jan Hottenga, Marcella Rietschel, Ioanna Ntalla, Victor Hesselbrock, Sarah M. Hartz, Marie Navratilova, Falk Kiefer, Martien J H Kas, Richard J. Rose, Andrew C. Heath, Jin P. Szatkiewicz, Lenka Slachtova, Lisa Lilenfeld, Katherine A. Halmi, John P. Rice, Anjali K. Henders, Christian Dina, Norbert Wodarz, Satu Männistö, Hamdi Mbarek, Shuyang Yao, Vladimir Janout, Alison Goate, Bettina Konte, Alexandra Schosser, Danfeng Chen, Kirsty Kiezebrink, Euijung Ryu, Dana B. Hancock, James Mitchell, Sarah E. Medland, Ina Giegling, Valdo Ricca, Scott D. Gordon, Gabrielle Koller, Samuli Ripatti, Laura M. Thornton, Alison D. Murray, Morten Mattingsdal, Zeynep Yilmaz, Jens Treutlein, Kathleen K. Bucholz, Tim B. Bigdeli, Eric F. van Furth, Hermine H. Maes, Ken B. Hanscombe, Sandra Sanchez-Roige, Daniela Degortes, Monica Forzan, Manuel Mattheisen, Richard Sherva, Scott J. Crow, Mikael Landén, Wolfgang Herzog, Jeanette N. McClintick, Tõnu Esko, Louis Fox, Wolfgang Maier, Liselotte Petersen, Laura J. Bierut, Roseann E. Peterson, Gursharan Kalsi, Kathleen Mullan Harris, Margarita C T Slof-Op 't Landt, Tamara L. Wall, Patrik K. E. Magnusson, Unna N. Danner, Stephan Zipfel, Ulrich W. Preuss, Elisa Docampo, D. Blake Woodside, Alfonso Tortorella, Benjamin W. Domingue, Franziska Ritschel, Johan G. Eriksson, Anu Raevuori, Benjamin M. Neale, Marcus Ising, Annemarie A. van Elburg, Filip Rybakowski, Maureen Reynolds, Tracey D. Wade, Manfred M. Fichter, Monica Gratacos Mayora, Claudette Boni, Andreas J. Forstner, John Whitfield, Silviu Alin Bacanu, Matthew B. McQueen, Andrew M. McIntosh, Norbert Scherbaum, Tatiana Foroud, Gun Peggy Knudsen, Sven Cichon, Christian J. Hopfer, Josef Frank, Eleftheria Zeggini, Federica Tozzi, Nadia Micali, Danielle M. Dick, Pamela A. F. Madden, Christian R. Marshall, Johannes Hebebrand, Fernando Fernández-Aranda, Roel A. Ophoff, Roland Burghardt, Nathaniel Thomas, Leonid Padyukov, Nancy L. Saccone, Anu Loukola, Fabian Streit, James L. Kennedy, Jessica H. Baker, Peter McGuffin, Walter H. Kaye, Pei Hong Shen, Anne Farmer, Roger D. Cone, Ilka Boehm, Jacquelyn L. Meyers, Paolo Santonastaso, Maurizio Clementi, Susana Jiménez-Murcia, Gudrun Wagner, Anke Hinney, Richard Parker, James I. Hudson, Nathan A. Gillespie, Michael Strober, John I. Nurnberger, Sandro Sorbi, Dorret I. Boomsma, Beata Świątkowska, Janne Tidselbak Larsen, Kenneth S. Kendler, Hidetoshi Inoko, Jessica E. Salvatore, Hunna J. Watson, Jochen Seitz, Jacques Pantel, Karl Mann, Hang Zhou, Antonio Julià, Oliver S. P. Davis, Nancy Diazgranados, Krista Fischer, John K. Hewitt, Karen S. Mitchell, Joanna Hauser, Eric O. Johnson, Craig Johnson, E. Jane Costello, Agnieszka Słopień, Dong Li, Laramie E. Duncan, Arpana Agrawal, Grant W. Montgomery, Manuel Föcker, Thomas Werge, Lannie Ligthart, Andreas Karwautz, Raquel Rabionet, Kenneth Krauter, Joel Gelernter, James J. Crowley, Cynthia M. Bulik, Paola Giusti-Rodríguez, Laura M. Huckins, Gerome Breen, Michael C. Stallings, Daniel E. Adkins, Pierre J. Magistretti, John Kramer, Lars Alfredsson, Hartmut Imgart, Annette M. Hartmann, Ole A. Andreassen, Monika Dmitrzak-Weglarz, Psychiatry, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Department Psychiatry [Chapel Hill], University of North Carolina System (UNC)-University of North Carolina System (UNC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, Harvard Medical School [Boston] (HMS), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], QIMR Berghofer Medical Research Institute, Karolinska Institutet [Stockholm], University Children's Hospital of Essen [Essen, Germany], University of Duisburg-Essen, Aarhus University [Aarhus], Stockholm County Council, University of Würzburg, Guy's Hospital [London], University Medical Center [Utrecht], University of Gothenburg (GU), Altrecht Center for Eating Disorders Rintveld [Zeist, The Netherlands] (Mental Health Institute), National Institute of Mental Health [Tokyo, Japan] (NIMH), National Center of Neurology and Psychiatry [Tokyo, Japan], University of Oslo (UiO), Norwegian Centre for Mental Disorders Research [Oslo] (NORMENT), University of Oslo (UiO)-Haukeland University Hospital, University of Bergen (UiB)-University of Bergen (UiB)-Oslo University Hospital [Oslo], Department of Psychiatry [Philadelphia], University of Pennsylvania [Philadelphia], Perelman School of Medicine, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Institut de psychiatrie et neurosciences (U894 / UMS 1266), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Split, The Wellcome Trust Sanger Institute [Cambridge], RWTH Aachen University, Universitätsklinikum Frankfurt, Universita degli Studi di Padova, University Hospital Basel [Basel], Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Minnesota System, University of Bristol [Bristol], Hannover Medical School [Hannover] (MHH), Harokopio University of Athens, Seattle University [Seattle], Virginia Commonwealth University (VCU), University of Athens Medical School [Athens], unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Poznan University of Medical Sciences [Poland] (PUMS), Institute of Environmental Science and Technology [Barcelona] (ICTA), Universitat Autònoma de Barcelona (UAB), Massachusetts General Hospital [Boston], Stanford University, MetaGenoPolis (MGP (US 1367)), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Estonian Genome and Medicine, University of Tartu, Universitat Pompeu Fabra [Barcelona] (UPF), MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, Department of Psychiatry (IDIBELL), CIBERobn Fisiopatología de la Obesidad y Nutrición-University Hospital of Bellvitge, Ludwig-Maximilians-Universität München (LMU), Infectious diseases division, Department of internal medicine, University of Münster, Masaryk Memorial Cancer Institute, Masaryk Memorial Cancer Institute (RECAMO), Universitätsklinikum Bonn (UKB), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Medstar Research Institute, Universität Duisburg-Essen [Essen], National and Kapodistrian University of Athens (NKUA), Children’s Hospital of Philadelphia (CHOP ), The Center for Applied Genomics, Psychiatric Genetic Unit, Poznan University of Medical Sciences, Department of Child and Adolescent Psychiatry and Psychotherapy, LVR-Klinikum Essen, Centre for Epidemiology and Biostatistics, Faculty of Medicine and Health Leeds, University of Leeds, Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Heidelberg University Hospital [Heidelberg], Icahn School of Medicine at Mount Sinai [New York] (MSSM), School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia., Parkland-Klinik [Bad Wildungen-Reinhardshausen, Germany], Tokai University, Department of Epidemiology and Public Health [university of Ostrava], Lékařská fakulta / Faculty of Medicine [University of Ostrava], Ostravská univerzita / University of Ostrava-Ostravská univerzita / University of Ostrava, Vall d'Hebron University Hospital [Barcelona], Charles University [Prague] (CU), University of Eastern Finland, Medizinische Universität Wien = Medical University of Vienna, Centre de toxicomanie et de santé mentale [Toronto, ON, Canada], University of Helsinki, University of Aberdeen, Faculty of Science, J.E. Purkinje University, J. E. Purkinje University, Michigan State University System, Norwegian Institute of Public Health [Oslo] (NIPH), Haukeland University Hospital, University of Bergen (UiB), Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), The Chicago School of Professional Psychology [Washington, District of Columbia, USA] (Washington DC Campus), Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Brain and Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Department of Psychiatry, University of Napoli, Center for Integrative Genomics - Institute of Bioinformatics, Génopode (CIG), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL)-Université de Lausanne (UNIL), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], University College Cork (UCC), Section Molecular Epidemiology, Leiden University Medical Center (LUMC), Institute of Psychiatry, King's College, VA Boston Healthcare System, Università degli studi della Campania 'Luigi Vanvitelli', Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Kartini Clinic [Portland, Oregon, USA], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Head of Medical Sequencing, Vanderbilt University School of Medicine [Nashville], The Hospital for sick children [Toronto] (SickKids), Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Department of Medical Epidemiology and Biostatistics (MEB), University of Pisa - Università di Pisa, Division of Psychiatric Genomics, Institute of Medical Informatics, Biometry and Epidemiology, Department of Molecular and Experimental Medicine, The Scripps Research Institute, The Scripps Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University-Medical Research Council, Leiden University Medical Center (LUMC), Center for Eating Disorders Ursula [Leiden, The Netherlands] (Rivierduinen), Medical University of Łódź (MUL), The Jackson Laboratory [Bar Harbor] (JAX), Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Utrecht University [Utrecht], SURFACES, Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Human Genetics, Internal Medicine [Tuebingen, Germany], Tuebingen University [Germany], Oregon Research Institute (ORI), University of Otago [Dunedin, Nouvelle-Zélande], The Center for Eating Disorders at Sheppard Pratt [Baltimore, MD, USA], Weill Medical College of Cornell University [New York], Eating Recovery Center [Denver, CO, USA], Centre for Addiction and Mental Health [Toronto, ON, Canada], University of California [San Diego] (UC San Diego), University of California, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Center for Genomic Medicine, Copenhagen University Hospital-Rigshospitalet [Copenhagen], Copenhagen University Hospital, Institute of Medical Science [Toronto], University of Toronto, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Sahlgrenska Academy at University of Gothenburg [Göteborg], Department of Genomics, Yale University School of Medicine, Indiana University School of Medicine, Indiana University System, Mayo Clinic [Rochester], Mayo Clinic, SUNY Downstate Medical Center, State University of New York (SUNY), University of Edinburgh, Department of Genomics, Life and Brain Center, University of Bonn, University of Utah School of Medicine [Salt Lake City], University of Heidelberg, Medical Faculty, Department of Psychiatry and Behavioral Sciences, Howard University College of Medicine, Department of Genomics [Bonn, Germany] (Institute of Human Genetics), University of Bonn-Institute of Human Genetics [Bonn, Germany], National Institutes of Health [Bethesda] (NIH), National Institute on Alcohol Abuse and Alcoholism [Bethesda, MD, USA] (NIAAA), Martin-Luther-University Halle-Wittenberg, Helsinki Institute of Life Science (HiLIFE), Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU), Vrije Universiteit Amsterdam [Amsterdam] (VU), Mathematical Sciences Institute (MSI), Australian National University (ANU), University of Colorado [Boulder], VU University Medical Center [Amsterdam], Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Universität Heidelberg [Heidelberg], Department of Genetic Epidemiology in Psychiatry [Mannhein], Universität Heidelberg [Heidelberg]-Central Institute of Mental Health Mannheim, Harvard University [Cambridge], University of Colorado Anschutz [Aurora], University of Vermont [Burlington], University of New South Wales [Sydney] (UNSW), University of Dusseldorf, Genetics and Pathology, Center for Human Genetic Research, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Heidelberg University, University of Iowa [Iowa City], Vienna University of Technology (TU Wien), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Indiana University System-Indiana University System, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), University of Regensburg, Rush University Medical Center [Chicago], University of Utah, Duke University Medical Center, University of Illinois [Chicago] (UIC), University of Illinois System, Department of Medical and Molecular Genetics, Dpt of Neuroscience [New York], Laboratory of Neurogenetics, National Institutes of Health [Bethesda] (NIH)-National Institute on Alcohol Abuse and Alcoholism, Department of Health and Human Services, University of Connecticut (UCONN), University of Colorado [Denver], Research Triangle Institute International (RTI International), McMaster University [Hamilton, Ontario], CLinical Psychology, Department of Electrical and Computer Engineering [Montréal], McGill University = Université McGill [Montréal, Canada], Yale School of Public Health (YSPH), Analytic and Translational Genetics Unit, Flinders University [Adelaide, Australia], Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Department of Public Health, Indiana University - Purdue University Indianapolis (IUPUI), National Institute of Mental Health (NIMH), University of Pennsylvania, Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), Università degli Studi di Padova = University of Padua (Unipd), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Unité de recherche de l'institut du thorax (ITX-lab), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), King‘s College London-The Institute of Psychiatry, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Masaryk Memorial Cancer Institute (MMCI), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Université de Lausanne = University of Lausanne (UNIL)-Université de Lausanne = University of Lausanne (UNIL), Università degli studi della Campania 'Luigi Vanvitelli' = University of the Study of Campania Luigi Vanvitelli, Università degli Studi di Firenze = University of Florence (UniFI), Department of Molecular Medicine [Scripps Research Institute], The Scripps Research Institute [La Jolla, San Diego], Medical Research Council-Cardiff University, Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), University of California (UC), University of California (UC)-University of California (UC), Yale School of Medicine [New Haven, Connecticut] (YSM), Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Martinez Rico, Clara, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Kas lab, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Munn-Chernoff, M. A., Johnson, E. C., Chou, Y. -L., Coleman, J. R. I., Thornton, L. M., Walters, R. K., Yilmaz, Z., Baker, J. H., Hubel, C., Gordon, S., Medland, S. E., Watson, H. J., Gaspar, H. A., Bryois, J., Hinney, A., Leppa, V. M., Mattheisen, M., Ripke, S., Yao, S., Giusti-Rodriguez, P., Hanscombe, K. B., Adan, R. A. H., Alfredsson, L., Ando, T., Andreassen, O. A., Berrettini, W. H., Boehm, I., Boni, C., Boraska Perica, V., Buehren, K., Burghardt, R., Cassina, M., Cichon, S., Clementi, M., Cone, R. D., Courtet, P., Crow, S., Crowley, J. J., Danner, U. N., Davis, O. S. P., de Zwaan, M., Dedoussis, G., Degortes, D., Desocio, J. E., Dick, D. M., Dikeos, D., Dina, C., Dmitrzak-Weglarz, M., Docampo, E., Duncan, L. E., Egberts, K., Ehrlich, S., Escaramis, G., Esko, T., Estivill, X., Farmer, A., Favaro, A., Fernandez-Aranda, F., Fichter, M. M., Fischer, K., Focker, M., Foretova, L., Forstner, A. J., Forzan, M., Franklin, C. S., Gallinger, S., Giegling, I., Giuranna, J., Gonidakis, F., Gorwood, P., Gratacos Mayora, M., Guillaume, S., Guo, Y., Hakonarson, H., Hatzikotoulas, K., Hauser, J., Hebebrand, J., Helder, S. G., Herms, S., Herpertz-Dahlmann, B., Herzog, W., Huckins, L. M., Hudson, J. I., Imgart, H., Inoko, H., Janout, V., Jimenez-Murcia, S., Julia, A., Kalsi, G., Kaminska, D., Karhunen, L., Karwautz, A., Kas, M. J. H., Kennedy, J. L., Keski-Rahkonen, A., Kiezebrink, K., Kim, Y. -R., Klump, K. L., Knudsen, G. P. S., La Via, M. C., Le Hellard, S., Levitan, R. D., Li, D., Lilenfeld, L., Lin, B. D., Lissowska, J., Luykx, J., Magistretti, P. J., Maj, M., Mannik, K., Marsal, S., Marshall, C. R., Mattingsdal, M., Mcdevitt, S., Mcguffin, P., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, K., Monteleone, A. M., Monteleone, P., Nacmias, B., Navratilova, M., Ntalla, I., O'Toole, J. K., Ophoff, R. A., Padyukov, L., Palotie, A., Pantel, J., Papezova, H., Pinto, D., Rabionet, R., Raevuori, A., Ramoz, N., Reichborn-Kjennerud, T., Ricca, V., Ripatti, S., Ritschel, F., Roberts, M., Rotondo, A., Rujescu, D., Rybakowski, F., Santonastaso, P., Scherag, A., Scherer, S. W., Schmidt, U., Schork, N. J., Schosser, A., Seitz, J., Slachtova, L., Slagboom, P. E., Slof-Op't Landt, M. C. T., Slopien, A., Sorbi, S., Swiatkowska, B., Szatkiewicz, J. P., Tachmazidou, I., Tenconi, E., Tortorella, A., Tozzi, F., Treasure, J., Tsitsika, A., Tyszkiewicz-Nwafor, M., Tziouvas, K., van Elburg, A. A., van Furth, E. F., Wagner, G., Walton, E., Widen, E., Zeggini, E., Zerwas, S., Zipfel, S., Bergen, A. W., Boden, J. M., Brandt, H., Crawford, S., Halmi, K. A., Horwood, L. J., Johnson, C., Kaplan, A. S., Kaye, W. H., Mitchell, J., Olsen, C. M., Pearson, J. F., Pedersen, N. L., Strober, M., Werge, T., Whiteman, D. C., Woodside, D. B., Grove, J., Henders, A. K., Larsen, J. T., Parker, R., Petersen, L. V., Jordan, J., Kennedy, M. A., Birgegard, A., Lichtenstein, P., Norring, C., Landen, M., Mortensen, P. B., Polimanti, R., Mcclintick, J. N., Adkins, A. E., Aliev, F., Bacanu, S. -A., Batzler, A., Bertelsen, S., Biernacka, J. M., Bigdeli, T. B., Chen, L. -S., Clarke, T. -K., Degenhardt, F., Docherty, A. R., Edwards, A. C., Foo, J. C., Fox, L., Frank, J., Hack, L. M., Hartmann, A. M., Hartz, S. M., Heilmann-Heimbach, S., Hodgkinson, C., Hoffmann, P., Hottenga, J. -J., Konte, B., Lahti, J., Lahti-Pulkkinen, M., Lai, D., Ligthart, L., Loukola, A., Maher, B. S., Mbarek, H., Mcintosh, A. M., Mcqueen, M. B., Meyers, J. L., Milaneschi, Y., Palviainen, T., Peterson, R. E., Ryu, E., Saccone, N. L., Salvatore, J. E., Sanchez-Roige, S., Schwandt, M., Sherva, R., Streit, F., Strohmaier, J., Thomas, N., Wang, J. -C., Webb, B. T., Wedow, R., Wetherill, L., Wills, A. G., Zhou, H., Boardman, J. D., Chen, D., Choi, D. -S., Copeland, W. E., Culverhouse, R. C., Dahmen, N., Degenhardt, L., Domingue, B. W., Frye, M. A., Gaebel, W., Hayward, C., Ising, M., Keyes, M., Kiefer, F., Koller, G., Kramer, J., Kuperman, S., Lucae, S., Lynskey, M. T., Maier, W., Mann, K., Mannisto, S., Muller-Myhsok, B., Murray, A. D., Nurnberger, J. I., Preuss, U., Raikkonen, K., Reynolds, M. D., Ridinger, M., Scherbaum, N., Schuckit, M. A., Soyka, M., Treutlein, J., Witt, S. H., Wodarz, N., Zill, P., Adkins, D. E., Boomsma, D. I., Bierut, L. J., Brown, S. A., Bucholz, K. K., Costello, E. J., de Wit, H., Diazgranados, N., Eriksson, J. G., Farrer, L. A., Foroud, T. M., Gillespie, N. A., Goate, A. M., Goldman, D., Grucza, R. A., Hancock, D. B., Harris, K. M., Hesselbrock, V., Hewitt, J. K., Hopfer, C. J., Iacono, W. G., Johnson, E. O., Karpyak, V. M., Kendler, K. S., Kranzler, H. R., Krauter, K., Lind, P. A., Mcgue, M., Mackillop, J., Madden, P. A. F., Maes, H. H., Magnusson, P. K. E., Nelson, E. C., Nothen, M. M., Palmer, A. A., Penninx, B. W. J. H., Porjesz, B., Rice, J. P., Rietschel, M., Riley, B. P., Rose, R. J., Shen, P. -H., Silberg, J., Stallings, M. C., Tarter, R. E., Vanyukov, M. M., Vrieze, S., Wall, T. L., Whitfield, J. B., Zhao, H., Neale, B. M., Wade, T. D., Heath, A. C., Montgomery, G. W., Martin, N. G., Sullivan, P. F., Kaprio, J., Breen, G., Gelernter, J., Edenberg, H. J., Bulik, C. M., and Agrawal, A.
Subjects: Netherlands Twin Register (NTR), Alcoholism/genetics, Schizophrenia/genetics, [SDV]Life Sciences [q-bio], [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Medizin, Medicine (miscellaneous), Genome-wide association study, Alcohol use disorder, Anorexia nervosa, Linkage Disequilibrium, ddc:616.89, [SCCO]Cognitive science, 0302 clinical medicine, Risk Factors, Tobacco Use Disorder/genetics, Substance-Related Disorders/genetics, 0303 health sciences, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Factors de risc en les malalties, Bulimia nervosa, Feeding and Eating Disorders/genetics, eating disorders, genetic correlation, substance use, Tobacco Use Disorder, 3. Good health, Fenotip, [SDV] Life Sciences [q-bio], Psychiatry and Mental health, Alcoholism, Eating disorders, Phenotype, Schizophrenia, Drinking of alcoholic beverages, eating disorder, Consum d'alcohol, Major depressive disorder, medicine.symptom, Depressive Disorder, Major/genetics, eating disorders, genetic correlation, substance use, Clinical psychology, Substance abuse, Risk factors in diseases, Substance-Related Disorders, Polymorphism, Single Nucleotide, Article, Feeding and Eating Disorders, 03 medical and health sciences, SDG 3 - Good Health and Well-being, mental disorders, Genetics, medicine, Humans, Trastorns de la conducta alimentària, 030304 developmental biology, Genetic association, Pharmacology, Depressive Disorder, Major, Binge eating, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, [SCCO] Cognitive science, medicine.disease, Comorbidity, Twin study, 030227 psychiatry, Abús de substàncies, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, business, Genètica, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Genome-Wide Association Study
Abstract: Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa (BN) and problem alcohol use (genetic correlation [rg], twin-based=0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge-eating, AN without binge-eating, and a BN factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder (MDD). Total sample sizes per phenotype ranged from ~2,400 to ~537,000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg=0.18; false discovery rate q=0.0006), cannabis initiation and AN (rg=0.23; qwith binge-eating (rg=0.27; q=0.0016). Conversely, significant negative genetic correlations were observed between three non-diagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge-eating (rgs=-0.19 to −0.23; qs
Published: 2021

14. A New Method for Visualizing Drusen and Their Progression in Flood-Illumination Adaptive Optics Ophthalmoscopy

Author: Ethan A. Rossi, Nathaniel Norberg, Chiara Eandi, Celine Chaumette, Saloni Kapoor, Laura Le, Valerie C. Snyder, Joseph N. Martel, Josselin Gautier, Kiyoko Gocho, Kunal K. Dansingani, Jay Chhablani, Angelo Arleo, Sarah Mrejen, José-Alain Sahel, Kate Grieve, Michel Paques, Gestionnaire, Hal Sorbonne Université, University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE), McGowan Institute for Regenerative Medicine, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts (CHNO), Institut de la Vision, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Università degli studi di Torino = University of Turin (UNITO)
Subjects: [SDV.IB] Life Sciences [q-bio]/Bioengineering, Horizon 2020, genetic structures, Biomedical Engineering, drusen, Retinal Drusen, MACUSTAR, Floods, Article, eye diseases, adaptive optics, Ophthalmoscopy, Ophthalmology, age-related macular degeneration, image analysis, [SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Humans, [SDV.IB]Life Sciences [q-bio]/Bioengineering, sense organs, Fluorescein Angiography, European Union (EU), [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Lighting
Abstract: Purpose: Drusen are dynamic sub-RPE deposits that are risk factors for late-stage agerelated macular degeneration (AMD). Here we show a new imaging method using floodillumination adaptive optics (FIAO) that reveal drusen with high contrast and resolution. Methods: A fovea-centered 4° × 4° FIAO image and eight surrounding images with gaze displaced by ±2° vertically and horizontally were acquired. Clinical color fundus and spectral-domain optical coherence tomography were acquired for clinical grading and comparison. Custom software registered overlapping FIAO images and fused the data statistically to generate a fovea-centered 4° × 4° gaze-dependent image. Our dataset included 15 controls (aged 31–72) and 182 eyes from 104 AMD patients (aged 56–92), graded as either normal aging (n = 7), and early (n = 12), intermediate (n = 108) and late AMD (n = 42); 27 had subretinal drusenoid deposits (SDDs), and 83 were imaged longitudinally. Results: No gaze varying structures were detected in young eyes. In aging eyes with no evidence of age-related changes, putative drusen Translational Relevance: This new technique offers promise as a robust and sensitive method to detect, map, quantify, and monitor the dynamics of drusen in aging and AMD.
Published: 2021

15. On the Complexity of the Plantinga-Vegter Algorithm

Author: Felipe Cucker, Alperen A. Ergür, Josué Tonelli-Cueto, City University of Hong Kong [Hong Kong] (CUHK), Computer Science Department - Carnegie Mellon University, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), OUtils de Résolution Algébriques pour la Géométrie et ses ApplicatioNs (OURAGAN), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut de Mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG (UMR_7586)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), This work was supported by the Einstein Foundation Berlin., Felipe Cucker was partially supported by a GRF grant from the Research Grants Council of the Hong Kong SAR (project number CityU 11302418)., Josué Tonelli-Cueto was partially supported by ANR JCJC GALOP (ANR-17-CE40-0009), the PGMO grant ALMA, and the PHC GRAPE., ANR-17-CE40-0009,GALOP,Jeux à travers la lentille de algèbre et géométrie de l'optimisation(2017), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
Subjects: Computational Geometry (cs.CG), FOS: Computer and information sciences, Subdivision methods, Mathematics Subject Classification (2010) : 65D18, 68W40, Numerical Analysis (math.NA), Complexity, Computer Science::Computational Geometry, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], Theoretical Computer Science, Computational Theory and Mathematics, FOS: Mathematics, Computer Science - Computational Geometry, 65D18, 68W40, Discrete Mathematics and Combinatorics, Plantinga-Vegter algorithm, Mathematics - Numerical Analysis, Geometry and Topology, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract: We introduce tools from numerical analysis and high dimensional probability for precision control and complexity analysis of subdivision-based algorithms in computational geometry. We combine these tools with the continuous amortization framework from exact computation. We use these tools on a well-known example from the subdivision family: the adaptive subdivision algorithm due to Plantinga and Vegter. The only existing complexity estimate on this rather fast algorithm was an exponential worst-case upper bound for its interval arithmetic version. We go beyond the worst-case by considering both average and smoothed analysis, and prove polynomial time complexity estimates for both interval arithmetic and finite-precision versions of the Plantinga-Vegter algorithm., Comment: 32 pages, 1 figure. This paper supersedes our earlier conference paper (arXiv:1901.09234). 2nd version: Re-structuring of the paper and correction of typos
Published: 2020

16. The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR16 luminous red galaxy and emission line galaxy samples: cosmic distance and structure growth measurements using multiple tracers in configuration space

Author: Stephanie Escoffier, John A. Peacock, Kyle S. Dawson, Shadab Alam, Cheng Zhao, Anand Raichoor, Chia-Hsun Chuang, Arnaud de Mattia, Yuting Wang, Hélion du Mas des Bourboux, Héctor Gil-Marín, Johan Comparat, Jeffrey A. Newman, Gong-Bo Zhao, Jiamin Hou, Eva Maria Mueller, Jean-Paul Kneib, Oliver H. E. Philcox, Ashley J. Ross, Kazuya Koyama, V. Ruhlmann-Kleider, Sylvain de la Torre, Etienne Burtin, Graziano Rossi, Donald P. Schneider, J. Bautista, Amélie Tamone, Arman Shafieloo, Will J. Percival, Romain Paviot, National Astronomical Observatories [Beijing] (NAOC), Chinese Academy of Sciences [Beijing] (CAS), University of Chinese Academy of Sciences [Beijing] (UCAS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Department of Astrophysical Sciences [Princeton], Princeton University, Harvard-Smithsonian Center for Astrophysics (CfA), Smithsonian Institution-Harvard University [Cambridge], Institute for Astronomy [Edinburgh] (IfA), University of Edinburgh, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Center for Cosmology & AstroParticle Physics, Ohio State University [Columbus] (OSU), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Astronomy [Waterloo], University of Waterloo [Waterloo], Perimeter Institute for Theoretical Physics [Waterloo], University of Utah, Institut de Ciencies del Cosmos (ICCUB), Universitat de Barcelona (UB), Institute for Space Studies of Catalonia [Barcelona] (IEEC-CSIC), Institute of Cosmology and Gravitation [Portsmouth] (ICG), University of Portsmouth, Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, Department of Physics [Oxford], University of Oxford [Oxford], Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Sejong University, Korea Astronomy and Space Science Institute, Institute for Gravitation and the Cosmos [PennState], Pennsylvania State University (Penn State), Penn State System-Penn State System, Harvard University-Smithsonian Institution, University of Oxford, ANR-16-CE31-0021,eBOSS,Sondes cosmologiques de la gravitation et de l'énergie noire(2016), National Key Research and Development Program (China), National Natural Science Foundation of China, European Commission, and National Research Foundation of Korea
Subjects: redshift survey, Cosmology and Nongalactic Astrophysics (astro-ph.CO), [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], media_common.quotation_subject, Cosmological parameters, FOS: Physical sciences, Astrophysics, 01 natural sciences, scale, Redshift-space distortions, 0103 physical sciences, Emission spectrum, cosmological parameters, 010303 astronomy & astrophysics, Large scale structure of the Universe, power-spectrum analysis, media_common, Physics, density, 010308 nuclear & particles physics, wigglez overlap region, covariance matrices, Sigma, Astronomy and Astrophysics, dependence, acoustic-oscillations, expansion rate, Galaxy, Redshift, Baryon, Space and Planetary Science, Sky, halo concentrations, Baryon acoustic oscillations, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We perform a multi-tracer analysis using the complete Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) DR16 luminous red galaxy (LRG) and the DR16 emission line galaxy (ELG) samples in the configuration space, and successfully detect a cross correlation between the two samples, and find the growth rate to be $f\sigma_8=0.342 \pm 0.085$ ($\sim25$ per cent accuracy) from the cross sample alone. We perform a joint measurement of the baryonic acoustic oscillation (BAO) and redshift space distortion (RSD) parameters at a single effective redshift of $z_{\rm eff}= 0.77$, using the auto- and cross-correlation functions of the LRG and ELG samples, and find that the comoving angular diameter distance $D_M(z_{\rm eff})/r_d = 18.85\pm 0.38$, the Hubble distance $D_H(z_{\rm eff})/r_d = 19.64 \pm 0.57$, and $f\sigma_8(z_{\rm eff}) = 0.432 \pm 0.038$, which is consistent with a $\Lambda$CDM model at $68\%$ CL. Compared to the single-tracer analysis on the LRG sample, the Figure of Merit (FoM) of $\alpha_{\perp}, \alpha_{||}$ and $f\sigma_8$ is improved by a factor of $1.11$ in our multi-tracer analysis, and in particular, the statistical uncertainty of $f\sigma_8$ is reduced by $11.6 \%$., Comment: 15 pages, 13 figures, 2 tables; MNRAS accepted; The BAO and RSD measurements and the covariance matrix are made available at https://github.com/ytcosmo/MultiTracerBAORSD/
Published: 2020

17. The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Large-scale structure catalogs for cosmological analysis

Author: Axel de la Macorra, Eric Jullo, Jeremy L. Tinker, J. N. McLane, Faizan G. Mohammad, Aurelio Carnero Rosell, Sylvain de la Torre, Hélion du Mas des Bourboux, Arnaud de Mattia, Peter Doohyun Choi, V. Ruhlmann-Kleider, Stephanie Escoffier, Hui Kong, S. Fromenteau, Stephen Bailey, Hee-Jong Seo, Solène Chabanier, Eva-Maria Mueller, Alex Smith, Jean-Paul Kneib, Joel R. Brownstein, Gong-Bo Zhao, Richard Neveux, Jonathan Brinkmann, Irene Cruz-González, Alexandra N. Higley, Kyle S. Dawson, Yucheng Zhang, Chia-Hsun Chuang, Andrea Muñoz-Gutiérrez, John Moustakas, Etienne Burtin, Johan Comparat, Will J. Percival, Christian Nitschelm, Shadab Alam, Donald P. Schneider, Graziano Rossi, Julian E. Bautista, Nathalie Palanque-Delabrouille, Anthony R. Pullen, Cheng Zhao, Adam D. Myers, Pauline Zarrouk, Jiamin Hou, Romain Paviot, Mehdi Rezaie, Jeffrey A. Newman, Ashley J. Ross, M. Vivek, Rita Tojeiro, Mariana Vargas Magaña, Brad W. Lyke, Anand Raichoor, Héctor Gil-Marín, Dmitry Bizyaev, Center for Cosmology & AstroParticle Physics, Ohio State University [Columbus] (OSU), Institute of Cosmology and Gravitation [Portsmouth] (ICG), University of Portsmouth, University of St Andrews [Scotland], Institute for Astronomy [Edinburgh] (IfA), University of Edinburgh, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, University of Utah, Institut de Ciencies del Cosmos (ICCUB), Universitat de Barcelona (UB), Institute for Space Studies of Catalonia [Barcelona] (IEEC-CSIC), Department of Physics and Astronomy [Laramie], University of Wyoming (UW), Department of Physics and Astronomy [Waterloo], University of Waterloo [Waterloo], Siena College [Loudonville], Department of Physics [Oxford], University of Oxford, Perimeter Institute for Theoretical Physics [Waterloo], Ecole Polytechnique Fédérale de Lausanne (EPFL), Ohio University - Athens (OU), Physics & Astronomy Department [Ohio University], Department of Physics [New York], New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), National Astronomical Observatories [Beijing] (NAOC), Chinese Academy of Sciences [Beijing] (CAS), New Mexico State University, Centro de Investigaciones Energéticas Medioambientales y Tecnológicas [Madrid] (CIEMAT), Sejong University, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC), Stanford University, Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Instituto de Ciencias Físicas, Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Centro de Astronomia [Antofagasta] (CITEVA), Universidad de Antofagasta, Center for Computational Astrophysics [New York], Flatiron Institute, Department of Astronomy and Astrophysics [PennState], Pennsylvania State University (Penn State), Penn State System-Penn State System, Indian Institute of Astrophysics (IIA), ANR-16-CE31-0021,eBOSS,Sondes cosmologiques de la gravitation et de l'énergie noire(2016), ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011), European Project: 670193,H2020,ERC-2014-ADG,COSFORM(2015), University of Oxford [Oxford], Universidad Nacional Autónoma de México (UNAM), University of St Andrews. School of Physics and Astronomy, Alfred P. Sloan Foundation, Department of Energy (US), European Commission, Centre National de la Recherche Scientifique (France), and National Research Foundation of Korea
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), reconstruction, [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], media_common.quotation_subject, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, spiders, galaxies, emission, 0103 physical sciences, QB Astronomy, observations [Cosmology], 010303 astronomy & astrophysics, QC, Astrophysics::Galaxy Astrophysics, catalogues, power-spectrum analysis, QB, media_common, Physics, 010308 nuclear & particles physics, Oscillation, Null (mathematics), Astrophysics::Instrumentation and Methods for Astrophysics, Sampling (statistics), DAS, Astronomy and Astrophysics, Quasar, acoustic-oscillations, calibration, Catalogues, Galaxy, Redshift, Baryon, QC Physics, 13. Climate action, Space and Planetary Science, Sky, cosmology: observations, digital sky survey, Cosmology Observations, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present large-scale structure catalogs from the completed extended Baryon Oscillation Spectroscopic Survey (eBOSS). Derived from Sloan Digital Sky Survey (SDSS) -IV Data Release 16 (DR16), these catalogs provide the data samples, corrected for observational systematics, and random positions sampling the survey selection function. Combined, they allow large-scale clustering measurements suitable for testing cosmological models. We describe the methods used to create these catalogs for the eBOSS DR16 Luminous Red Galaxy (LRG) and Quasar samples. The quasar catalog contains 343,708 redshifts with $0.8 < z < 2.2$ over 4,808\,deg$^2$. We combine 174,816 eBOSS LRG redshifts over 4,242\,deg$^2$ in the redshift interval $0.6 < z < 1.0$ with SDSS-III BOSS LRGs in the same redshift range to produce a combined sample of 377,458 galaxy redshifts distributed over 9,493\,deg$^2$. Improved algorithms for estimating redshifts allow that 98 per cent of LRG observations result in a successful redshift, with less than one per cent catastrophic failures ($��z > 1000$ ${\rm km~s}^{-1}$). For quasars, these rates are 95 and 2 per cent (with $��z > 3000$ ${\rm km~s}^{-1}$). We apply corrections for trends between the number densities of our samples and the properties of the imaging and spectroscopic data. For example, the quasar catalog obtains a $��^2$/DoF$= 776/10$ for a null test against imaging depth before corrections and a $��^2$/DoF$=6/8$ after. The catalogs, combined with careful consideration of the details of their construction found here-in, allow companion papers to present cosmological results with negligible impact from observational systematic uncertainties., Matches version accepted by MNRAS, very minor changes. A summary of all SDSS BAO and RSD measurements with accompanying legacy figures can be found here: https://www.sdss.org/science/final-bao-and-rsd-measurements/ . The full cosmological interpretation of these measurements can be found here: https://sdss.org/science/cosmology-results-from-eboss/
Published: 2020

18. ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

Author: Pieter Collins, Fabian Immler, Niklas Kochdumper, Christian Schilling, Luis Benet, Alexandre Chapoutot, Julien Alexandre Dit Sandretto, David P. Sanders, Xin Chen, Daniel Freire, Matthias Althoff, Luca Geretti, Marcelo Forets, Department of Computer Science [Verona] (UNIVR | DI), University of Verona (UNIVR), Unité d'Informatique et d'Ingénierie des Systèmes (U2IS), École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Instituto de Matematicas (UNAM), Universidad Nacional Autónoma de México (UNAM), University of Dayton, Department of data science and Knowledge Engineering [Maastricht], Maastricht University [Maastricht], Universidad de la República (UDELAR), Computer Science Department - Carnegie Mellon University, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Mathematics, Massachusetts Institute of Technology, Cambridge MA 02139, United States, and Institute of Science and Technology [Austria] (IST Austria)
Subjects: Nonlinear system, justITSELF, Hybrid systems, Continuous systems, Computer science, Hybrid system, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], Nonlinear systems, Applied mathematics, Arch, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ComputingMilieux_MISCELLANEOUS, ddc
Abstract: We present the results of a friendly competition for formal verification of continuous and hybrid systems with nonlinear continuous dynamics. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2020. This year, 6 tools Ariadne, CORA, DynIbex, Flow*, Isabelle/HOL, and JuliaReach (in alphabetic order) participated. These tools are applied to solve reachability analysis problems on six benchmark problems, two of them featuring hybrid dynamics. We do not rank the tools based on the results, but show the current status and discover the potential advantages of different tools.
Published: 2020

19. The 16th Data Release of the Sloan Digital Sky Surveys : First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

Author: Romina Ahumada, Carlos Allende Prieto, Andrés Almeida, Friedrich Anders, Scott F. Anderson, Brett H. Andrews, Borja Anguiano, Riccardo Arcodia, Eric Armengaud, Marie Aubert, Santiago Avila, Vladimir Avila-Reese, Carles Badenes, Christophe Balland, Kat Barger, Jorge K. Barrera-Ballesteros, Sarbani Basu, Julian Bautista, Rachael L. Beaton, Timothy C. Beers, B. Izamar T. Benavides, Chad F. Bender, Mariangela Bernardi, Matthew Bershady, Florian Beutler, Christian Moni Bidin, Jonathan Bird, Dmitry Bizyaev, Guillermo A. Blanc, Michael R. Blanton, Médéric Boquien, Jura Borissova, Jo Bovy, W. N. Brandt, Jonathan Brinkmann, Joel R. Brownstein, Kevin Bundy, Martin Bureau, Adam Burgasser, Etienne Burtin, Mariana Cano-Díaz, Raffaella Capasso, Michele Cappellari, Ricardo Carrera, Solène Chabanier, William Chaplin, Michael Chapman, Brian Cherinka, Cristina Chiappini, Peter Doohyun Choi, S. Drew Chojnowski, Haeun Chung, Nicolas Clerc, Damien Coffey, Julia M. Comerford, Johan Comparat, Luiz da Costa, Marie-Claude Cousinou, Kevin Covey, Jeffrey D. Crane, Katia Cunha, Gabriele da Silva Ilha, Yu Sophia Dai, Sanna B. Damsted, Jeremy Darling, James W. Davidson, Roger Davies, Kyle Dawson, Nikhil De, Axel de la Macorra, Nathan De Lee, Anna Bárbara de Andrade Queiroz, Alice Deconto Machado, Sylvain de la Torre, Flavia Dell’Agli, Hélion du Mas des Bourboux, Aleksandar M. Diamond-Stanic, Sean Dillon, John Donor, Niv Drory, Chris Duckworth, Tom Dwelly, Garrett Ebelke, Sarah Eftekharzadeh, Arthur Davis Eigenbrot, Yvonne P. Elsworth, Mike Eracleous, Ghazaleh Erfanianfar, Stephanie Escoffier, Xiaohui Fan, Emily Farr, José G. Fernández-Trincado, Diane Feuillet, Alexis Finoguenov, Patricia Fofie, Amelia Fraser-McKelvie, Peter M. Frinchaboy, Sebastien Fromenteau, Hai Fu, Lluís Galbany, Rafael A. Garcia, D. A. García-Hernández, Luis Alberto Garma Oehmichen, Junqiang Ge, Marcio Antonio Geimba Maia, Doug Geisler, Joseph Gelfand, Julian Goddy, Violeta Gonzalez-Perez, Kathleen Grabowski, Paul Green, Catherine J. Grier, Hong Guo, Julien Guy, Paul Harding, Sten Hasselquist, Adam James Hawken, Christian R. Hayes, Fred Hearty, S. Hekker, David W. Hogg, Jon A. Holtzman, Danny Horta, Jiamin Hou, Bau-Ching Hsieh, Daniel Huber, Jason A. S. Hunt, J. Ider Chitham, Julie Imig, Mariana Jaber, Camilo Eduardo Jimenez Angel, Jennifer A. Johnson, Amy M. Jones, Henrik Jönsson, Eric Jullo, Yerim Kim, Karen Kinemuchi, Charles C. Kirkpatrick IV, George W. Kite, Mark Klaene, Jean-Paul Kneib, Juna A. Kollmeier, Hui Kong, Marina Kounkel, Dhanesh Krishnarao, Ivan Lacerna, Ting-Wen Lan, Richard R. Lane, David R. Law, Jean-Marc Le Goff, Henry W. Leung, Hannah Lewis, Cheng Li, Jianhui Lian, Lihwai Lin, Dan Long, Penélope Longa-Peña, Britt Lundgren, Brad W. Lyke, J. Ted Mackereth, Chelsea L. MacLeod, Steven R. Majewski, Arturo Manchado, Claudia Maraston, Paul Martini, Thomas Masseron, Karen L. Masters, Savita Mathur, Richard M. McDermid, Andrea Merloni, Michael Merrifield, Szabolcs Mészáros, Andrea Miglio, Dante Minniti, Rebecca Minsley, Takamitsu Miyaji, Faizan Gohar Mohammad, Benoit Mosser, Eva-Maria Mueller, Demitri Muna, Andrea Muñoz-Gutiérrez, Adam D. Myers, Seshadri Nadathur, Preethi Nair, Kirpal Nandra, Janaina Correa do Nascimento, Rebecca Jean Nevin, Jeffrey A. Newman, David L. Nidever, Christian Nitschelm, Pasquier Noterdaeme, Julia E. O’Connell, Matthew D. Olmstead, Daniel Oravetz, Audrey Oravetz, Yeisson Osorio, Zachary J. Pace, Nelson Padilla, Nathalie Palanque-Delabrouille, Pedro A. Palicio, Hsi-An Pan, Kaike Pan, James Parker, Romain Paviot, Sebastien Peirani, Karla Peña Ramŕez, Samantha Penny, Will J. Percival, Ismael Perez-Fournon, Ignasi Pérez-Ràfols, Patrick Petitjean, Matthew M. Pieri, Marc Pinsonneault, Vijith Jacob Poovelil, Joshua Tyler Povick, Abhishek Prakash, Adrian M. Price-Whelan, M. Jordan Raddick, Anand Raichoor, Amy Ray, Sandro Barboza Rembold, Mehdi Rezaie, Rogemar A. Riffel, Rogério Riffel, Hans-Walter Rix, Annie C. Robin, A. Roman-Lopes, Carlos Román-Zúñiga, Benjamin Rose, Ashley J. Ross, Graziano Rossi, Kate Rowlands, Kate H. R. Rubin, Mara Salvato, Ariel G. Sánchez, Laura Sánchez-Menguiano, José R. Sánchez-Gallego, Conor Sayres, Adam Schaefer, Ricardo P. Schiavon, Jaderson S. Schimoia, Edward Schlafly, David Schlegel, Donald P. Schneider, Mathias Schultheis, Axel Schwope, Hee-Jong Seo, Aldo Serenelli, Arman Shafieloo, Shoaib Jamal Shamsi, Zhengyi Shao, Shiyin Shen, Matthew Shetrone, Raphael Shirley, Víctor Silva Aguirre, Joshua D. Simon, M. F. Skrutskie, Anže Slosar, Rebecca Smethurst, Jennifer Sobeck, Bernardo Cervantes Sodi, Diogo Souto, David V. Stark, Keivan G. Stassun, Matthias Steinmetz, Dennis Stello, Julianna Stermer, Thaisa Storchi-Bergmann, Alina Streblyanska, Guy S. Stringfellow, Amelia Stutz, Genaro Suárez, Jing Sun, Manuchehr Taghizadeh-Popp, Michael S. Talbot, Jamie Tayar, Aniruddha R. Thakar, Riley Theriault, Daniel Thomas, Zak C. Thomas, Jeremy Tinker, Rita Tojeiro, Hector Hernandez Toledo, Christy A. Tremonti, Nicholas W. Troup, Sarah Tuttle, Eduardo Unda-Sanzana, Marica Valentini, Jaime Vargas-González, Mariana Vargas-Magaña, Jose Antonio Vázquez-Mata, M. Vivek, David Wake, Yuting Wang, Benjamin Alan Weaver, Anne-Marie Weijmans, Vivienne Wild, John C. Wilson, Robert F. Wilson, Nathan Wolthuis, W. M. Wood-Vasey, Renbin Yan, Meng Yang, Christophe Yèche, Olga Zamora, Pauline Zarrouk, Gail Zasowski, Kai Zhang, Cheng Zhao, Gongbo Zhao, Zheng Zheng, Guangtun Zhu, Hu Zou, Department of Physics, Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Instituto de Astrofisica de Canarias (IAC), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Universidad Nacional Autónoma de México (UNAM), Department of Astrophysical Sciences [Princeton], Princeton University, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Department of Astronomy, Yale University [New Haven], University of Notre Dame [Indiana] (UND), Department of Physics and Astronomy [Philadelphia], University of Pennsylvania [Philadelphia], University of Wisconsin-Madison, Texas Tech University Health Sciences Center, Texas Tech University [Lubbock] (TTU), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), California Institute of Technology (CALTECH), Sub-department of Astrophysics [Oxford], Department of Physics [Oxford], University of Oxford [Oxford]-University of Oxford [Oxford], Center for Astrophysics and Space Sciences [La Jolla] (CASS), University of California [San Diego] (UC San Diego), University of California-University of California, Department of Psychology, St John's University, Institut de recherche en astrophysique et planétologie (IRAP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Departamento de FisicaTeorica e IFT-UAM/CSIC, Universidad Autonoma de Madrid (UAM), Lowell Observatory [Flagstaff], Observatorio Nacional [Rio de Janeiro], Vernalis (R&D) Ltd, Special Care Dentistry, UCLH Eastman Dental Hospital, University of Utah, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Universidad de La Laguna [Tenerife - SP] (ULL), University of Virginia [Charlottesville], University of Wyoming (UW), School of Physics and Astronomy, University of Birmingham [Birmingham], Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, Arizona State University [Tempe] (ASU), Univers, Transport, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213) (UTINAM), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Max-Planck-Institut für Astronomie (MPIA), Texas Christian University (TCU), Department of Physics and Astronomy [Irvine], University of California [Irvine] (UCI), Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), New York University [New York] (NYU), NYU System (NYU), Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, New Mexico State University, Pennsylvania State University (Penn State), Penn State System, Princess Margaret Hospital, University of Toronto, Cognition, Langues, Langage, Ergonomie (CLLE-ERSS), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Toulouse - Jean Jaurès (UT2J)-Université Bordeaux Montaigne-Centre National de la Recherche Scientifique (CNRS), J. A. Baker Institute, Cornell University [New York], Institute of Infection, Immunity & Inflammation, University of Glasgow, Sainsbury Laboratory Cambridge University (SLCU), University of Cambridge [UK] (CAM), Ecole Polytechnique Fédérale de Lausanne (EPFL), Carnegie Observatories, Carnegie Institution for Science [Washington], Institute of Science and Technology [Austria] (IST Austria), Universidad de Atacama, Department of Chemical and Biomolecular Engineering, Universidad de Antofagasta, Harvard-Smithsonian Center for Astrophysics (CfA), Smithsonian Institution-Harvard University [Cambridge], Institute of cosmology and gravitation, University of Portsmouth, Institut d'Astronomie et d'Astrophysique [Bruxelles] (IAA), Université libre de Bruxelles (ULB), Département d'Astrophysique, de physique des Particules, de physique Nucléaire et de l'Instrumentation Associée (DAPNIA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Max-Planck-Institut für Astrophysik (MPA), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Département des Sciences et Gestion de l'Environnement/Océanologie [Liège], Université de Liège, Universidad Andrés Bello [Santiago] (UNAB), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Montana State University (MSU), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Department of Astronomy (Ohio State University), Ohio State University [Columbus] (OSU), Institut Lagrange de Paris, Sorbonne Université (SU), The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Liverpool John Moores University (LJMU), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institute of Space Sciences [Barcelona] (ICE-CSIC), Spanish National Research Council [Madrid] (CSIC), Chinese Academy of Sciences [Beijing] (CAS), McDonald Observatory, University of Texas at Austin [Austin], Astronomy Centre, University of Sussex, Department of Physics and Astronomy [Aarhus], Aarhus University [Aarhus], University of Washington [Seattle], Vanderbilt University [Nashville], Stellar Astrophysics Centre [Aarhus] (SAC), University of Colorado [Boulder], Laboratoire de Biochimie Médicale (LBM), CHU Rouen, Normandie Université (NU)-Normandie Université (NU), University of St Andrews [Scotland], Instituto de Astronomıa, universidad catolica del Norte, Institut d'Astrophysique et de Géophysique [Liège], Laboratoire de Physique des Solides (LPS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11), Department of Computer Science and Engineering [Minneapolis], University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Dunlap Institute for Astronomy and Astrophysics [Toronto], World Bank, State Key Laboratory in Computer Science [Beijing] (SKLCS), Institute of Software Chinese Academy of Sciences [Beijing], Nanjing University of Information Science and Technology (NUIST), Laboratoire de Chimie - UMR5182 (LC), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École normale supérieure - Lyon (ENS Lyon)-Institut de Chimie du CNRS (INC), Johns Hopkins University (JHU), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), University of Oxford-University of Oxford, University of California (UC)-University of California (UC), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universidad Autónoma de Madrid (UAM), University of Virginia, Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), University of California [Irvine] (UC Irvine), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Bordeaux Montaigne (UBM)-Centre National de la Recherche Scientifique (CNRS), Carnegie Institution for Science, Institute of Science and Technology [Klosterneuburg, Austria] (IST Austria), Harvard University-Smithsonian Institution, Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (LESIA), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), University of Oxford, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Ahumada R., Prieto C.A., Almeida A., Anders F., Anderson S.F., Andrews B.H., Anguiano B., Arcodia R., Armengaud E., Aubert M., Avila S., Avila-Reese V., Badenes C., Balland C., Barger K., Barrera-Ballesteros J.K., Basu S., Bautista J., Beaton R.L., Beers T.C., Benavides B.I.T., Bender C.F., Bernardi M., Bershady M., Beutler F., Bidin C.M., Bird J., Bizyaev D., Blanc G.A., Blanton M.R., Boquien M., Borissova J., Bovy J., Brandt W.N., Brinkmann J., Brownstein J.R., Bundy K., Bureau M., Burgasser A., Burtin E., Cano-Diaz M., Capasso R., Cappellari M., Carrera R., Chabanier S., Chaplin W., Chapman M., Cherinka B., Chiappini C., Doohyun Choi P., Chojnowski S.D., Chung H., Clerc N., Coffey D., Comerford J.M., Comparat J., Da Costa L., Cousinou M.-C., Covey K., Crane J.D., Cunha K., Ilha G.D.S., Dai Y.S., Damsted S.B., Darling J., Davidson J.W., Davies R., Dawson K., De N., De La Macorra A., De Lee N., Queiroz A.B.D.A., Deconto Machado A., De La Torre S., Dell'Agli F., Du Mas Des Bourboux H., Diamond-Stanic A.M., Dillon S., Donor J., Drory N., Duckworth C., Dwelly T., Ebelke G., Eftekharzadeh S., Davis Eigenbrot A., Elsworth Y.P., Eracleous M., Erfanianfar G., Escoffier S., Fan X., Farr E., Fernandez-Trincado J.G., Feuillet D., Finoguenov A., Fofie P., Fraser-Mckelvie A., Frinchaboy P.M., Fromenteau S., Fu H., Galbany L., Garcia R.A., Garcia-Hernandez D.A., Oehmichen L.A.G., Ge J., Maia M.A.G., Geisler D., Gelfand J., Goddy J., Gonzalez-Perez V., Grabowski K., Green P., Grier C.J., Guo H., Guy J., Harding P., Hasselquist S., Hawken A.J., Hayes C.R., Hearty F., Hekker S., Hogg D.W., Holtzman J.A., Horta D., Hou J., Hsieh B.-C., Huber D., Hunt J.A.S., Chitham J.I., Imig J., Jaber M., Angel C.E.J., Johnson J.A., Jones A.M., Jonsson H., Jullo E., Kim Y., Kinemuchi K., Kirkpatrick Iv C.C., Kite G.W., Klaene M., Kneib J.-P., Kollmeier J.A., Kong H., Kounkel M., Krishnarao D., Lacerna I., Lan T.-W., Lane R.R., Law D.R., Le Goff J.-M., Leung H.W., Lewis H., Li C., Lian J., Lin L., Long D., Longa-Peña P., Lundgren B., Lyke B.W., Ted Mackereth J., Macleod C.L., Majewski S.R., Manchado A., Maraston C., Martini P., Masseron T., Masters K.L., Mathur S., McDermid R.M., Merloni A., Merrifield M., Meszaros S., Miglio A., Minniti D., Minsley R., Miyaji T., Mohammad F.G., Mosser B., Mueller E.-M., Muna D., Muñoz-Gutierrez A., Myers A.D., Nadathur S., Nair P., Nandra K., Do Nascimento J.C., Nevin R.J., Newman J.A., Nidever D.L., Nitschelm C., Noterdaeme P., O'Connell J.E., Olmstead M.D., Oravetz D., Oravetz A., Osorio Y., Pace Z.J., Padilla N., Palanque-Delabrouille N., Palicio P.A., Pan H.-A., Pan K., Parker J., Paviot R., Peirani S., Ramrez K.P., Penny S., Percival W.J., Perez-Fournon I., Perez-Rafols I., Petitjean P., Pieri M.M., Pinsonneault M., Poovelil V.J., Povick J.T., Prakash A., Price-Whelan A.M., Raddick M.J., Raichoor A., Ray A., Rembold S.B., Rezaie M., Riffel R.A., Riffel R., Rix H.-W., Robin A.C., Roman-Lopes A., Roman-Zuñiga C., Rose B., Ross A.J., Rossi G., Rowlands K., Rubin K.H.R., Salvato M., Sanchez A.G., Sanchez-Menguiano L., Sanchez-Gallego J.R., Sayres C., Schaefer A., Schiavon R.P., Schimoia J.S., Schlafly E., Schlegel D., Schneider D.P., Schultheis M., Schwope A., Seo H.-J., Serenelli A., Shafieloo A., Shamsi S.J., Shao Z., Shen S., Shetrone M., Shirley R., Aguirre V.S., Simon J.D., Skrutskie M.F., Slosar A., Smethurst R., Sobeck J., Sodi B.C., Souto D., Stark D.V., Stassun K.G., Steinmetz M., Stello D., Stermer J., Storchi-Bergmann T., Streblyanska A., Stringfellow G.S., Stutz A., Suarez G., Sun J., Taghizadeh-Popp M., Talbot M.S., Tayar J., Thakar A.R., Theriault R., Thomas D., Thomas Z.C., Tinker J., Tojeiro R., Toledo H.H., Tremonti C.A., Troup N.W., Tuttle S., Unda-Sanzana E., Valentini M., Vargas-Gonzalez J., Vargas-Magaña M., Vazquez-Mata J.A., Vivek M., Wake D., Wang Y., Weaver B.A., Weijmans A.-M., Wild V., Wilson J.C., Wilson R.F., Wolthuis N., Wood-Vasey W.M., Yan R., Yang M., Yeche C., Zamora O., Zarrouk P., Zasowski G., Zhang K., Zhao C., Zhao G., Zheng Z., Zhu G., Zou H., Alfred P. Sloan Foundation, and Department of Energy (US)
Subjects: Optical telescopes, SAMPLE, Astrophysics, 01 natural sciences, Astronomi, astrofysik och kosmologi, Infrared astronomy, Observatory, Astronomy, Astrophysics and Cosmology, Astrophysics::Solar and Stellar Astrophysics, REDSHIFT 0.8, redshift surveys, stellar spectral lines, 010303 astronomy & astrophysics, ComputingMilieux_MISCELLANEOUS, media_common, Astronomy databases, Redshift surveys, Physics, Astrophysics::Instrumentation and Methods for Astrophysics, stellar properties, CATALOG, astro-ph.CO, astronomy databases, Data release, [PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], infrared astonomy, TELESCOPE, astro-ph.GA, media_common.quotation_subject, Astrophysics::Cosmology and Extragalactic Astrophysics, MASS, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Galactic abundances, Stellar properties, 0103 physical sciences, Astrophysics::Galaxy Astrophysics, DISTANCES, Stellar spectral lines, 010308 nuclear & particles physics, Astronomy and Astrophysics, optical telescopes, 115 Astronomy, Space science, Galaxy, GALAXY, [PHYS.ASTR.GA]Physics [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA], STELLAR, 13. Climate action, Space and Planetary Science, Sky, [SDU]Sciences of the Universe [physics], galactic abundances, MILKY, astro-ph.IM, SDSS-IV MANGA
Abstract: This paper documents the 16th data release (DR16) from the Sloan Digital Sky Surveys (SDSS), the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the Southern Hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and all raw and reduced spectra from that project are released here. DR16 also includes all the data from the Time Domain Spectroscopic Survey and new data from the SPectroscopic IDentification of ERosita Survey programs, both of which were co-observed on eBOSS plates. DR16 has no new data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey (or the MaNGA Stellar Library "MaStar"). We also preview future SDSS-V operations (due to start in 2020), and summarize plans for the final SDSS-IV data release (DR17)., Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. SDSS-IV acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. The SDSS website is www.sdss.org.
Published: 2020

20. Erasing odd-parity states in semiconductor quantum dots coupled to superconductors

Author: Sebastien Plissard, Zhaoen Su, Diana Car, H. Wu, Sasa Gazibegovic, Rok Žitko, Ghada Badawy, P. Zhang, Sergey Frolov, Jingguang G. Chen, Erik P. A. M. Bakkers, M. Hocevar, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Jozef Stefan Institute [Ljubljana] (IJS), Eindhoven University of Technology [Eindhoven] (TU/e), Équipe Matériaux et Procédés pour la Nanoélectronique (LAAS-MPN), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse 1 Capitole (UT1)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées, Nanophysique et Semiconducteurs (NPSC), Institut Néel (NEEL), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Université Grenoble Alpes (UGA), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Nanophysique et Semiconducteurs (NEEL - NPSC), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), ANR-17-PIRE-0001,Hybrid,Hybrid Materials for Quantum Science and Engineering(2017), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Astronomy [Pittsburgh], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), and Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)
Subjects: Quantum phase transition, Nanowire, FOS: Physical sciences, 02 engineering and technology, 01 natural sciences, Superconductivity (cond-mat.supr-con), [PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph], 0103 physical sciences, Bound state, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), [CHIM.CRIS]Chemical Sciences/Cristallography, Singlet state, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], 010306 general physics, [PHYS.COND.CM-MSQHE]Physics [physics]/Condensed Matter [cond-mat]/Mesoscopic Systems and Quantum Hall Effect [cond-mat.mes-hall], Superconductivity, Physics, [PHYS]Physics [physics], Condensed Matter - Mesoscale and Nanoscale Physics, Condensed matter physics, Condensed Matter - Superconductivity, [CHIM.MATE]Chemical Sciences/Material chemistry, 021001 nanoscience & nanotechnology, Condensed Matter::Mesoscopic Systems and Quantum Hall Effect, MAJORANA, Quantum dot, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], Erasure, 0210 nano-technology
Abstract: International audience; Quantum dots are gate-defined within InSb nanowires, in proximity to NbTiN superconducting contacts. As the coupling between the dot and the superconductor is increased, the odd-parity occupation regions in transport become nondiscernible (erased) both above and below the induced superconducting gap. Above the gap, conductance in the odd Coulomb-blockade valleys increases until the valleys are lifted. Below the gap, Andreev bound states undergo quantum phase transitions to Kondo-screened singlet ground states at odd occupancy. We investigate to what degree the apparent erasure of odd-parity regimes coincides at low and high biases. We complement experiments with numerical renormalization group simulations. We interpret the results in terms of a competition between Kondo screening and superconductivity. In the erased odd-parity regime, the quantum dot exhibits transport features similar to a finite-size Majorana nanowire, drawing parallels between even-odd dot occupations and even-odd one-dimensional subband occupations.
Published: 2020

21. The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic correlation function between redshifts 0.6 and 1

Author: Julian E Bautista, Romain Paviot, Mariana Vargas Magaña, Sylvain de la Torre, Sebastien Fromenteau, Hector Gil-Marín, Ashley J Ross, Etienne Burtin, Kyle S Dawson, Jiamin Hou, Jean-Paul Kneib, Arnaud de Mattia, Will J Percival, Graziano Rossi, Rita Tojeiro, Cheng Zhao, Gong-Bo Zhao, Shadab Alam, Joel Brownstein, Michael J Chapman, Peter D Choi, Chia-Hsun Chuang, Stéphanie Escoffier, Axel de la Macorra, Hélion du Mas des Bourboux, Faizan G Mohammad, Jeongin Moon, Eva-Maria Müller, Seshadri Nadathur, Jeffrey A Newman, Donald Schneider, Hee-Jong Seo, Yuting Wang, University of St Andrews. School of Physics and Astronomy, Institute of Cosmology and Gravitation [Portsmouth] (ICG), University of Portsmouth, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Universidad Nacional Autónoma de México (UNAM), Instituto de Ciencias Físicas, Institut de Ciencies del Cosmos (ICCUB), Universitat de Barcelona (UB), Institute for Space Studies of Catalonia [Barcelona] (IEEC-CSIC), Center for Cosmology & AstroParticle Physics, Ohio State University [Columbus] (OSU), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, University of Utah, Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, Ecole Polytechnique Fédérale de Lausanne (EPFL), Department of Physics and Astronomy [Waterloo], University of Waterloo [Waterloo], Perimeter Institute for Theoretical Physics [Waterloo], Sejong University, University of St Andrews [Scotland], National Astronomical Observatories [Beijing] (NAOC), Chinese Academy of Sciences [Beijing] (CAS), Institute for Astronomy [Edinburgh] (IfA), University of Edinburgh, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC), Stanford University, Department of Physics [Oxford], University of Oxford [Oxford], Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Pennsylvania State University (Penn State), Penn State System, Physics & Astronomy Department [Ohio University], Ohio University - Athens (OU), ANR-16-CE31-0021,eBOSS,Sondes cosmologiques de la gravitation et de l'énergie noire(2016), European Project: 670193,H2020,ERC-2014-ADG,COSFORM(2015), La Caixa, National Research Foundation of Korea, European Commission, National Energy Research Scientific Computing Center (US), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), and University of Oxford
Subjects: reconstruction, Cosmology and Nongalactic Astrophysics (astro-ph.CO), [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], FOS: Physical sciences, Large scale structure, Astrophysics::Cosmology and Extragalactic Astrophysics, large scale structure, 01 natural sciences, cosmology: dark energy, 0103 physical sciences, Dark energy, large-scale structure of Universe [Cosmology], QB Astronomy, perturbation-theory, cosmic structure, dark energy, observations [Cosmology], 010303 astronomy & astrophysics, dark energy survey, QC, power-spectrum analysis, QB, survey cosmological implications, 010308 nuclear & particles physics, measuring d-a, cosmology: large-scale structure of universe, Astronomy and Astrophysics, DAS, acoustic-oscillations, Cosmology, QC Physics, Space and Planetary Science, cosmology: observations, astro-ph.CO, space distortions, dark energy [Cosmology], dr14 quasar sample, cosmology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Bautista, Julian E., et al., We present the cosmological analysis of the configuration-space anisotropic clustering in the completed Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 galaxy sample. This sample consists of luminous red galaxies (LRGs) spanning the redshift range 0.6 < $z$ < 1, at an effective redshift of $z$eff = 0.698. It combines 174 816 eBOSS and 202 642 BOSS LRGs. We extract and model the baryon acoustic oscillation (BAO) and redshift-space distortion (RSD) features from the galaxy two-point correlation function to infer geometrical and dynamical cosmological constraints. The adopted methodology is extensively tested on a set of realistic simulations. The correlations between the inferred parameters from the BAO and full-shape correlation function analyses are estimated. This allows us to derive joint constraints on the three cosmological parameter combinations: DM($z$)/rd, DH($z$)/rd, and fσ8($z$), where DM is the comoving angular diameter distance, DH is the Hubble distance, rd is the comoving BAO scale, f is the linear growth rate of structure, and σ8 is the amplitude of linear matter perturbations. After combining the results with those from the parallel power spectrum analysis of Gil-Marin et al., we obtain the constraints: DM/rd = 17.65 ± 0.30, DH/rd = 19.77 ± 0.47, and fσ8 = 0.473 ± 0.044. These measurements are consistent with a flat Lambda cold dark matter model with standard gravity., RP, SdlT, and SE acknowledge the support from the French National Research Agency (ANR) under contract ANR-16-CE31-0021, eBOSS. SdlT and SE acknowledge the support of the OCEVU Labex (ANR-11-LABX-0060) and the A*MIDEX project (ANR-11-IDEX-0001-02) funded by the ‘Investissements d’Avenir’ French government programme managed by the ANR. MVM and SF are partially supported by Programa de Apoyo a Proyectos de Investigación e Inovación ca Teconológica (PAPITT) no. IA101518, no. IA101619, Proyecto LANCAD-UNAM-DGTIC-319, and LANCAD-UNAM-DGTIC-136. HGM acknowledges the support from la Caixa Foundation (ID 100010434) code LCF/BQ/PI18/11630024. SA is supported by the European Research Council through the COSFORM Research Grant (#670193). GR, PDC, and JM acknowledge support from the National Research Foundation of Korea (NRF) through Grant Nos. 2017R1E1A1A01077508 and 2020R1A2C1005655 funded by the Korean Ministry of Education, Science and Technology (MoEST), and from the faculty research fund of Sejong University. Numerical computations were done on the Sciama High Performance Compute (HPC) cluster, which is supported by the ICG, SEPNet, and the University of Portsmouth. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This research also uses resources of the HPC cluster ATOCATL-IA-UNAM México. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 693024).
Published: 2020
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22. A cross‐national study of depression in preclinical dementia: A COSMIC collaboration study

Author: Nicole A. Kochan, Elena Lobo, Julian N. Trollor, Simone Reppermund, Erin Jacobsen, Karen Ritchie, Annalisa Davin, Darren M. Lipnicki, Perminder S. Sachdev, Marie-Laure Ancelin, Isabelle Carrière, Ki Woong Kim, Mary N. Haan, Susanne Roehr, Henry Brodaty, Alexander Pabst, Ji Won Han, Concepción de la Cámara, Antonio Lobo, Roberta Vaccaro, Antonio Guaita, Steffi G. Riedel-Heller, Mary Ganguli, Seung Wan Suh, Sophie Carles, Joanne C. Beer, Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Golgi Cenci Foundation, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Neurology [Pittsburgh], Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh (PITT), and Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: Gerontology, Male, Epidemiology, health care facilities, manpower, and services, [SDV]Life Sciences [q-bio], Population, education, Prodromal Symptoms, Disease, Logistic regression, Article, Cohort Studies, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Developmental Neuroscience, Forest plot, Medicine, Dementia, Humans, 030212 general & internal medicine, Longitudinal Studies, Depression (differential diagnoses), health care economics and organizations, Aged, Aged, 80 and over, education.field_of_study, business.industry, Health Policy, Incidence (epidemiology), medicine.disease, Psychiatry and Mental health, Preclinical dementia, depression, incidence, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), Geriatrics and Gerontology, business, 030217 neurology & neurosurgery, dementia
Abstract: Introduction Depression commonly accompanies Alzheimer's disease, but the nature of this association remains uncertain. Methods Longitudinal data from the COSMIC consortium were harmonized for eight population-based cohorts from four continents. Incident dementia was diagnosed in 646 participants, with a median follow-up time of 5.6 years to diagnosis. The association between years to dementia diagnosis and successive depressive states was assessed using a mixed effect logistic regression model. A generic inverse variance method was used to group study results, construct forest plots, and generate heterogeneity statistics. Results A common trajectory was observed showing an increase in the incidence of depression as the time to dementia diagnosis decreased despite cross-national variability in depression rates. Discussion The results support the hypothesis that depression occurring in the preclinical phases of dementia is more likely to be attributable to dementia-related brain changes than environment or reverse causality.
Published: 2020

23. On the flavor structure of the light-quark sea distributions

Author: Jacques Soffer, Claude Bourrely, Department of Physics [Philadelphia], Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), CPT - E1 Physique des particules, and Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Quark, Physics, helicity parton distributions, Nuclear and High Energy Physics, Particle physics, 010308 nuclear & particles physics, High Energy Physics::Lattice, High Energy Physics::Phenomenology, Structure (category theory), Parton, 01 natural sciences, Helicity, sea quarks, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], 0103 physical sciences, Statistical parton model, High Energy Physics::Experiment, 010306 general physics, Nucleon, Flavor
Abstract: International audience; The flavor structure of the nucleon sea provides unique information to test the statistical parton distributions approach, which imposes strong relations between quark and antiquarks. These properties for unpolarized and helicity distributions have been verified up to now by recent data. We will emphasize the properties of the light-quark sea and present here some new results which are a real challenge for forthcoming accurate experimental results, mainly in the high Bjorken-x region.
Published: 2019

24. Editorial: Secondary Respiratory Infections in the Context of Acute and Chronic Pulmonary Diseases

Author: John F. Alcorn, François Trottein, Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Department of Pediatrics [Pittsburgh, USA], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)-Children's Hospital of Pittsburgh of UPMC [Etats-Unis], FT received salary support by the Centre national de la Recherche Scientifique (CNRS) and JA by the National Institutes of Health (NIH) R01HL107380., Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), and TROTTEIN, François
Subjects: lcsh:Immunologic diseases. Allergy, medicine.medical_treatment, Immunology, Context (language use), Cystic fibrosis, [SDV.IMM.II]Life Sciences [q-bio]/Immunology/Innate immunity, Sepsis, cystic fibrosis, sepsis, 03 medical and health sciences, 0302 clinical medicine, respiratory viruses, medicine, Immunology and Allergy, COPD, pneumonia, [SDV.IMM.II] Life Sciences [q-bio]/Immunology/Innate immunity, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Innate immune system, business.industry, Secondary respiratory infections, Immunotherapy, medicine.disease, 3. Good health, Pneumonia, innate immune response, immunotherapy, business, influenza, lcsh:RC581-607, 030215 immunology
Abstract: International audience; no abstract
Published: 2019

25. Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Author: Zhu, Dajiang, Yan, Jingwen, Huang, Heng, Shen, Li, Thompson, Paul M., Westin, Carl-Fredrik, Pennec, Xavier, Joshi, Sarang, Nielsen, Mads, Fletcher, Tom, Durrleman, Stanley, Sommer, Stefan, University of Texas at Arlington [Arlington], Indiana University - Purdue University Indianapolis (IUPUI), Indiana University System, Department of Computer Science - University of Pittsburgh, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), University of Pennsylvania [Philadelphia], University of Southern California (USC), Harvard Medical School [Boston] (HMS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Utah, University of Copenhagen = Københavns Universitet (KU), University of Virginia [Charlottesville], Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Zhu, Dajiang, Yan, Jingwen, Nielsen, Mads, Fletcher, Tom, Durrleman, Stanley, Sommer, Stefan, Huang, Heng, Shen, Li, Thompson, Paul M., Westin, Carl-Fredrik, Pennec, Xavier, Joshi, Sarang, GeomStats, Inria@SiliconValley, G-Statistics, European Project: 786854,H2020 Pilier ERC,ERC AdG(2018), University of Pennsylvania, University of Copenhagen = Københavns Universitet (UCPH), University of Virginia, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Artificial intelligence, Image segmentation, Principal component analysis, Approximation methods, Imaging genetics, Statistical models, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Computational anatomy, Biomedical imaging, Image processing, Machine learning, Image reconstruction, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image fusion, Statistics of surfaces, Neural networks, Image registration
Abstract: International audience; This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected.The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.
Published: 2019

26. Differential Requirements for the RAD51 Paralogs in Genome Repair and Maintenance in Human Cells

Author: Weber, Leslie, Frati, Giacomo, Felix, Tristan, Hardouin, Giulia, Casini, Antonio, Wollenschlaeger, Clara, Meneghini, Vasco, Masson, Cecile, De Cian, Anne, Chalumeau, Anne, Mavilio, Fulvio, Amendola, Mario, Andre-Schmutz, Isabelle, Cereseto, Anna, El Nemer, Wassim, Cavazzana, Marina, Miccio, Annarita, Geny, Sylvain, Hosseini, Elaheh Sadat, Garcin, Edwige, Gon, Stéphanie, Sullivan, Meghan, Brunette, Gregory, Cian, Anne De, Concordet, Jean-Paul, Giovannangeli, Carine, Dirks, Wilhelm, Eberth, Sonja, Bernstein, Kara, Prakash, Rohit, Jasin, Maria, Modesti, Mauro, Structure et Instabilité des Génomes (STRING), Muséum national d'Histoire naturelle (MNHN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Marseille (CRCM), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Microbiology and Molecular Genetics [Pittsburgh, PA, États-Unis], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)-UPMC Hillman Cancer Center [Pittsburgh, PA, États-Unis], Muséum national d'Histoire naturelle (MNHN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Department of Human and Animal Cell Lines [Brunswick, Allemagne], Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH / Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures (DSMZ), Developmental Biology Program [New York, NY, États-Unis], Memorial Sloan-Kettering Cancer Center [New York, NY, États-Unis] (MSKCC), Developmental Biology Program, Memorial Sloane Kettering Cancer Center [New York], MSK Cancer Center Support Core Grant (NIH P30CA008748), NIH Grants F32GM110978 (R.P.), R35GM118175 (M.J.), R01CA185660 (M.J.), F31ES027321 (M.R.S.), ES024872 (K.A.B.), Marie-Josée and Henry R. Kravis Center for Molecular Oncology, American Cancer Society Grant 129182-RSG-16-043-01-DMC (K.A.B.), Stand Up to Cancer Grants SU2C-AACR-IRG-02-16 (K.A.B.) and SU2C-AACR-DT16-15 (M.J.), ANR-11-INBS-0014,TEFOR,Transgenèse pour les Etudes Fonctionnelles sur les Organismes modèles(2011), Modesti, Mauro, Infrastructures - Transgenèse pour les Etudes Fonctionnelles sur les Organismes modèles - - TEFOR2011 - ANR-11-INBS-0014 - INBS - VALID, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Muséum National d'Histoire Naturelle (MNHN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), This work was supported by CRCM state subsidies from CNRS, Inserm, Institute Paoli-Calmettes and Aix-Marseille University, grant ANRII-INSB-0014 (J-P.C., C.G.), NIH Grants F32GM110978 (R.P.), R35GM118175 (M.J.), R01CA185660 (M.J.), F31ES027321 (M.R.S.), ES024872 (K.A.B.), in part by the Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Stand Up to Cancer Grants SU2C-AACR-IRG-02-16 (K.A.B.) and SU2C-AACRDT16-15 (M.J.), Postdoctoral fellowships from the French National League against Cancer and from Aix-Marseille University Foundation (E.B.G.), and and the French National League against Cancer (M.M.).
Subjects: Cancer Research, DNA Repair, Physiology, [SDV]Life Sciences [q-bio], RAD51, Artificial Gene Amplification and Extension, QH426-470, medicine.disease_cause, Mechanical Treatment of Specimens, Biochemistry, XRCC2, Guide RNA, Mathematical and Statistical Techniques, 0302 clinical medicine, XRCC3, Fanconi anemia, Immune Physiology, Medicine and Health Sciences, Analysis of variance, Homologous Recombination, Genetics (clinical), ComputingMilieux_MISCELLANEOUS, 0303 health sciences, Mutation, Immune System Proteins, Statistics, Cell disruption, 3. Good health, Cell biology, Polymerase chain reaction, DNA-Binding Proteins, Nucleic acids, Specimen Disruption, 030220 oncology & carcinogenesis, Physical Sciences, RAD51C, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Research Article, Cell type, Complement system, DNA repair, Genetic loci, Immunology, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Chromatids, DNA construction, Biology, Plasmid construction, Research and Analysis Methods, 03 medical and health sciences, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genetics, medicine, Humans, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Statistical Methods, Molecular Biology Techniques, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Cell Nucleus, [SDV.GEN]Life Sciences [q-bio]/Genetics, Genome, Human, HEK 293 cells, Biology and Life Sciences, Proteins, medicine.disease, HEK293 Cells, Specimen Preparation and Treatment, Immune System, RNA, Rad51 Recombinase, Mathematics, 030217 neurology & neurosurgery, DNA Damage, Cloning
Abstract: Deficiency in several of the classical human RAD51 paralogs [RAD51B, RAD51C, RAD51D, XRCC2 and XRCC3] is associated with cancer predisposition and Fanconi anemia. To investigate their functions, isogenic disruption mutants for each were generated in non-transformed MCF10A mammary epithelial cells and in transformed U2OS and HEK293 cells. In U2OS and HEK293 cells, viable ablated clones were readily isolated for each RAD51 paralog; in contrast, with the exception of RAD51B, RAD51 paralogs are cell-essential in MCF10A cells. Underlining their importance for genomic stability, mutant cell lines display variable growth defects, impaired sister chromatid recombination, reduced levels of stable RAD51 nuclear foci, and hyper-sensitivity to mitomycin C and olaparib, with the weakest phenotypes observed in RAD51B-deficient cells. Altogether these observations underscore the contributions of RAD51 paralogs in diverse DNA repair processes, and demonstrate essential differences in different cell types. Finally, this study will provide useful reagents to analyze patient-derived mutations and to investigate mechanisms of chemotherapeutic resistance deployed by cancers., Author summary The five classical RAD51 paralogs [RAD51B, RAD51C, RAD51D, XRCC2 and XRCC3] are important components of the homologous recombination pathway that preserves genomic integrity and protects against cancer. Recently, two RAD51 paralogs have been clearly identified as tumor suppressors and the other three paralogs have been found to be mutated in some tumors. As well, two RAD51 paralogs have been reported to be Fanconi anemia proteins. Thus, there is renewed interest in the RAD51 paralogs from a human health concern and the need for isogenic human cell lines to evaluate tumor-derived mutations and support biochemical approaches aimed at understanding their molecular functions. Here we provide three coherent sets of isogenic mutants, both in transformed and non-transformed human cells. Importantly, using these mutant lines, we report the unanticipated result that RAD51B has a less crucial role in homologous recombination than the other four paralogs, and find that all RAD51 paralogs are critically important for early functions during homologous recombination.
Published: 2019

27. RAD51AP1 Is an Essential Mediator of Alternative Lengthening of Telomeres

Author: Jonathan Barroso-González, Laura García-Expósito, Song My Hoang, Michelle L. Lynskey, Justin L. Roncaioli, Arundhati Ghosh, Callen T. Wallace, Marco de Vitis, Mauro Modesti, Kara A. Bernstein, Saumendra N. Sarkar, Simon C. Watkins, Roderick J. O’Sullivan, Centre de Recherche en Cancérologie de Marseille (CRCM), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Microbiology and Molecular Genetics [Pittsburgh, PA, États-Unis], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)-UPMC Hillman Cancer Center [Pittsburgh, PA, États-Unis], Department of Microbiology and Molecular Genetics [Pittsburgh, PA, USA], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Royal Melbourne Institute of Technology University (RMIT University), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, and Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU)
Subjects: DNA damage, [SDV]Life Sciences [q-bio], SUMO protein, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, medicine.disease_cause, Autophagy-Related Protein 7, Article, Ligases, Homology directed repair, 03 medical and health sciences, 0302 clinical medicine, Neoplasms, Autophagy, medicine, Autophagy-Related Protein-1 Homolog, Humans, Homologous Recombination, Molecular Biology, ComputingMilieux_MISCELLANEOUS, Cell Proliferation, DNA Polymerase III, 030304 developmental biology, Mutation, 0303 health sciences, DNA synthesis, Protein Stability, Lysine, Intracellular Signaling Peptides and Proteins, RNA-Binding Proteins, Sumoylation, Telomere Homeostasis, Cell Biology, Telomere, Nucleotidyltransferases, Rad52 DNA Repair and Recombination Protein, Cell biology, DNA-Binding Proteins, Gene Expression Regulation, Neoplastic, HEK293 Cells, 030220 oncology & carcinogenesis, Cancer cell, Homologous recombination, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery, HeLa Cells, Signal Transduction
Abstract: Alternative Lengthening of Telomeres (ALT) is a homology-directed repair (HDR) mechanism of telomere elongation that controls proliferation in aggressive cancers. We show that the disruption of RAD51-associated protein 1 (RAD51AP1) in ALT+ cancer cells leads to generational telomere shortening. This is due to RAD51AP1’s involvement in RAD51 dependent homologous recombination (HR) and RAD52-POLD3 dependent break induced DNA synthesis. RAD51AP1 KO ALT+ cells exhibit telomere dysfunction and cytosolic telomeric DNA fragments that are sensed by cGAS. Intriguingly, they activate ULK1-ATG7 dependent autophagy as a survival mechanism to mitigate DNA damage and apoptosis. Importantly, RAD51AP1 protein levels are elevated in ALT+ cells due to MMS21 associated SUMOylation. Mutation of a single SUMO-targeted lysine residue perturbs telomere dynamics. These findings indicate that RAD51AP1 is an essential mediator of the ALT mechanism and is co-opted by post-translational mechanisms to maintain telomere length and ensure proliferation of ALT+ cancer cells.
Published: 2019

28. Hot topics in the mechanisms of pulmonary arterial hypertension disease: cancer-like pathobiology, the role of the adventitia, systemic involvement, and right ventricular failure

Author: Marlene Rabinovitch, Wolfgang M. Kuebler, Brian B. Graham, Norbert F. Voelkel, Grazyna Kwapiszewska, Elena A. Goncharova, Soni Savai Pullamsetti, Christophe Guignabert, Kurt R. Stenmark, Edda Spiekerkoetter, Harm Jan Bogaard, Division of Pulmonary and Critical Care Medicine [Stanford, CA, USA] (Cardiovascular Institute), Stanford University-Stanford Cardiovascular Institute-Wall Center for Pulmonary Vascular Disease [Stanford, CA, USA], Division of Pulmonary, Allergy and Critical Care Medicine [Pittsburgh, PA, États-Unis], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Bioengineering [Pittsburgh, PA, USA], University of Pittsburgh (PITT), Université Paris-Saclay, Université Paris-Sud [Le Kremlin-Bicêtre] (Faculté de Médecine), Hypertension arterielle pulmonaire physiopathologie et innovation thérapeutique, Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre chirurgical Marie Lannelongue, Department of Pediatrics [Denver, CO, USA] (School of Medicine), University of Colorado [Denver], Cardio Vascular Pulmonary Research Lab [Denver, CO, USA], Ludwig Boltzmann Institute for Lung Vascular Research [Graz], Stanford Cardiovascular Institute, Vrije Universiteit Medical Centre (VUMC), Vrije Universiteit Amsterdam [Amsterdam] (VU), VU University Medical Center [Amsterdam], Pulmonary Sciences and Critical Care [Denver, CO, USA] (School of Medicine), Max Planck Institute for Heart and Lung Research (MPI-HLR), Max-Planck-Gesellschaft, University of Giessen and Marburg Lung Center (UGMLC), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Keenan Research Centre for Biomedical Science [Toronto, ON, Canada], Li Ka Shing Knowledge Institute [Toronto, ON, Canada]-St. Michael’s Hopsital [Toronto, ON, Canada], Department of Surgery [Toronto, ON, Canada], University of Toronto, Department of Physiology [Toronto, ON, Canada], Université de Toronto [Canada]-Mount Sinai Hospital [Toronto, Canada] (MSH)-Lunenfeld-Tanenbaum Research Institute [Toronto, Canada], ES: NHLBI R01 HL128734, Department of Defense PR161256, Wall Center for Pulmonary Vascular Disease Stanford, Pulmonary Hypertension Association Career Development Grant. EAG: NIH/NHLBI R01HL130261, 2R01HL113178. CG: ANR-16-CE17-0014 (TAMIRAH), National Agency for Research (ANR), DEQ20150331712 (Equipe FRM 2015), Fondation de la Recherche Me´dicale (FRM), De´partement HospitaloUniversitaire Thorax Innovation (TORINO), Fonds de Dotation Recherche en Sante´ Respiratoire–(FRSR)–Fondation du Souffle (FdS), French Pulmonary Hypertension Association (HTAP France). KS: NIH/NHLBI: PPG P01 HL014985, 1R01HL125827, and DoD PR140977. GK: FWF P27848. MR: R01 HL074186, R01 HL087118, R01 HL122887, R01 HL138473, P01 HL108797, R24 HL123767, K12 HL120001. NV: none. HJB: Dutch Cardiovascular Alliance, PHAEDRA-IMPACT Consortium. BG: NHLBI P01HL014985, R03HL133306, and R01HL135872. SSP: The Max Planck Society, DFG, SFB 1213 (Project A01, A05), and the Excellence Cluster 147 CardioPulmonary System (ECCPS, EXC 147). WMK: HSFC G-16-00013171, DFG KU1218/9-1, DZHK, DZL, and ORF SCORR (RE07-086)., ANR-16-CE17-0014,TAMIRAH,Cibler l'activation anormale du récepteur des minéralocorticoïdes dans l'Hypertension Artérielle Pulmonaire : Une étude translationnelle vers un traitement(2016), Guignabert, Christophe, Cibler l'activation anormale du récepteur des minéralocorticoïdes dans l'Hypertension Artérielle Pulmonaire : Une étude translationnelle vers un traitement - - TAMIRAH2016 - ANR-16-CE17-0014 - AAPG2016 - VALID, Centre Chirurgical Marie Lannelongue (CCML)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Toronto-Mount Sinai Hospital [Toronto, Canada] (MSH)-Lunenfeld-Tanenbaum Research Institute [Toronto, Canada], Pulmonary medicine, and ACS - Pulmonary hypertension & thrombosis
Subjects: 0301 basic medicine, Pulmonary and Respiratory Medicine, Neointima, medicine.medical_specialty, Systemic disease, lcsh:Diseases of the circulatory (Cardiovascular) system, vascular remodeling, [SDV]Life Sciences [q-bio], Disease, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, 030204 cardiovascular system & hematology, Cardiorespiratory Medicine and Haematology, Cardiovascular, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, 03 medical and health sciences, 0302 clinical medicine, Rare Diseases, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, Adventitia, right ventricle function and dysfunction, Medicine, 2.1 Biological and endogenous factors, Aetiology, [SDV.BC] Life Sciences [q-bio]/Cellular Biology, Lung, lcsh:RC705-779, business.industry, Cancer, lcsh:Diseases of the respiratory system, Leading Edge Science, medicine.disease, experimental pulmonary hypertension, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, 3. Good health, [SDV] Life Sciences [q-bio], 030104 developmental biology, medicine.anatomical_structure, Hot topics, Ventricle, lcsh:RC666-701, Cardiology, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Right ventricular failure, Pro-Con debate, business
Abstract: International audience; In order to intervene appropriately and develop disease-modifying therapeutics for pulmonary arterial hypertension, it is crucial to understand the mechanisms of disease pathogenesis and progression. We herein discuss four topics of disease mechanisms that are currently highly debated, yet still unsolved, in the field of pulmonary arterial hypertension. Is pulmonary arterial hypertension a cancer-like disease? Does the adventitia play an important role in the initiation of pulmonary vascular remodeling? Is pulmonary arterial hypertension a systemic disease? Does capillary loss drive right ventricular failure? While pulmonary arterial hypertension does not replicate all features of cancer, anti-proliferative cancer therapeutics might still be beneficial in pulmonary arterial hypertension if monitored for safety and tolerability. It was recognized that the adventitia as a cell-rich compartment is important in the disease pathogenesis of pulmonary arterial hypertension and should be a therapeutic target, albeit the data are inconclusive as to whether the adventitia is involved in the initiation of neointima formation. There was agreement that systemic diseases can lead to pulmonary arterial hypertension and that pulmonary arterial hypertension can have systemic effects related to the advanced lung pathology, yet there was less agreement on whether idiopathic pulmonary arterial hypertension is a systemic disease per se. Despite acknowledging the limitations of exactly assessing vascular density in the right ventricle, it was recognized that the failing right ventricle may show inadequate vascular adaptation resulting in inadequate delivery of oxygen and other metabolites. Although the debate was not meant to result in a definite resolution of the specific arguments, it sparked ideas about how we might resolve the discrepancies by improving our disease modeling (rodent models, large-animal studies, studies of human cells, tissues, and organs) as well as standardization of the models. Novel experimental approaches, such as lineage tracing and better three-dimensional imaging of experimental as well as human lung and heart tissues, might unravel how different cells contribute to the disease pathology.
Published: 2019

29. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments

Author: Shumo Cui, Jonathan Sprinkle, Hannah Pohlmann, Miles Churchill, Benedetto Piccoli, Maria Laura Delle Monache, Rahul Bhadani, R’mani Haulcy, Daniel B. Work, Matt Bunting, Nathaniel Hamilton, Fangyu Wu, Benjamin Seibold, Raphael Stern, Department of Civil and Environmental Engineering [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Department of mathematics [Philadelphia], Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Networked Controlled Systems (NECS), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département Automatique (GIPSA-DA), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Electrical and Computer Engineering [Tucson] (ECE), University of Arizona, Lipscomb University [Nashville], Yale University [New Haven], Pennsylvania State University (Penn State), Penn State System, Rutgers University [Camden], Rutgers University System (Rutgers), and Pennsylvania Commonwealth System of Higher Education (PCSHE)
Subjects: Engineering, Traffic control, Flow (psychology), Autonomous vehicles, Transportation, Systems and Control (eess.SY), 010501 environmental sciences, Track (rail transport), 01 natural sciences, Control theory, 0502 economics and business, FOS: Electrical engineering, electronic engineering, information engineering, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], Simulation, 0105 earth and related environmental sciences, Civil and Structural Engineering, Flow control (data), 050210 logistics & transportation, business.industry, 05 social sciences, Dissipation, Traffic flow, Traffic waves, Computer Science Applications, Automotive Engineering, Computer Science - Systems and Control, Actuator, business, Intelligent control, Traffic wave
Abstract: International audience; Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold. Considering the presence of increasingly automated vehicles in the traffic stream, a number of research activities have focused on the influence of automated vehicles on the bulk traffic flow. In the present article, we demonstrate experimentally that intelligent control of an autonomous vehicle is able to dampen stop-and-go waves that can arise even in the absence of geometric or lane changing triggers. Precisely, our experiments on a circular track with more than 20 vehicles show that traffic waves emerge consistently, and that they can be dampened by controlling the velocity of a single vehicle in the flow. We compare metrics for velocity, braking events, and fuel economy across experiments. These experimental findings suggest a paradigm shift in traffic management: flow control will be possible via a few mobile actuators (less than 5%) long before a majority of vehicles have autonomous capabilities.
Published: 2018

30. Plates with incompatible prestrain of high order

Author: Diego Ricciotti, Marta Lewicka, Annie Raoult, Department of mathematics - University of Pittsburgh, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), University of Pittsburgh, Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), and Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS )
Subjects: Physics, Riemann curvature tensor, Internal energy, Applied Mathematics, 010102 general mathematics, Mathematical analysis, 74K15, 74K20, 74K35, 49J45, 92R05, First order, 01 natural sciences, symbols.namesake, Riemann hypothesis, [ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP], 0103 physical sciences, Euclidean geometry, symbols, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], Calculus of variations, 0101 mathematics, Elasticity (economics), High order, 010306 general physics, Mathematical Physics, Analysis
Abstract: We study the elastic behaviour of incompatibly prestrained thin plates of thickness h whose internal energy E h is governed by an imposed three-dimensional smooth Riemann metric G only depending on the variable in the midsurface ω. It is already known that h − 2 inf ⁡ E h converges to a finite value c when the metric G restricted to the midsurface has a sufficiently regular immersion, namely W 2 , 2 ( ω , R 3 ) . The obtained limit model generalizes the bending (Kirhchoff) model of Euclidean elasticity. In the present paper, we deal with the case when c equals 0. Then, equivalently, three independent entries of the three-dimensional Riemann curvature tensor associated with G are null. We prove that, in such regime, necessarily inf ⁡ E h ≤ C h 4 . We identify the Γ-limit of the scaled energies h − 4 E h and show that it consists of a von Karman-like energy. The unknowns in this energy are the first order incremental displacements with respect to the deformation defined by the bending model and the second order tangential strains. In addition, we prove that when inf ⁡ h − 4 E h → 0 , then G is realizable and hence min ⁡ E h = 0 for every h.
Published: 2017

31. Dopamine System Dysregulation in Major Depressive Disorders

Author: Anthony A. Grace, Pauline Belujon, Laboratoire de neurosciences expérimentales et cliniques (LNEC), Université de Poitiers-Institut National de la Santé et de la Recherche Médicale (INSERM), Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh (PITT), and Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)
Subjects: ketamine, hippocampus, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Dopamine, Hippocampus, Review, Amygdala, 03 medical and health sciences, 0302 clinical medicine, Animals, Humans, Medicine, Agomelatine, Pharmacology (medical), Pharmacology, Depressive Disorder, Major, business.industry, Dopaminergic, Brain, Anhedonia, amygdala, medicine.disease, animal models, 030227 psychiatry, Editor's Choice, Psychiatry and Mental health, medicine.anatomical_structure, depression, Major depressive disorder, medicine.symptom, business, Neuroscience, 030217 neurology & neurosurgery, Basolateral amygdala, medicine.drug
Abstract: International audience; Anhedonia is considered a core feature of major depressive disorder, and the dopamine system plays a pivotal role in the hedonic deficits described in this disorder. Dopaminergic activity is complex and under the regulation of multiple brain structures, including the ventral subiculum of the hippocampus and the basolateral amygdala. Whereas basic and clinical studies demonstrate deficits of the dopaminergic system in depression, the origin of these deficits likely lies in dysregulation of its regulatory afferent circuits. This review explores the current information regarding the afferent modulation of the dopaminergic system and its relevance to major depressive disorder, as well as some of the system-level effects of novel antidepressants such as agomelatine and ketamine.
Published: 2017

32. Impulse control disorders and levodopa-induced dyskinesias in Parkinson's disease: an update

Author: Valerie Voon, Jose A. Obeso, Michael J. Frank, Pierre-Olivier Fernagut, Maria C. Rodriguez-Oroz, Anthony A. Grace, Véronique Sgambato-Faure, Erwan Bezard, T. Celeste Napier, Department of Psychiatry and Behavioural and Clinical Neurosciences Institute, University of Cambridge [UK] (CAM), Rush University Medical Center [Chicago], Department of Cognitive, Linguistic and Psychological Sciences and Department of Psychiatry and Human Behavior, Brown University, Institut des sciences cognitives Marc Jeannerod - Centre de neuroscience cognitive - UMR5229 (CNC), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Neurology Service, Clinica Universitaria de Navarra. CIBERNED., CIBER de Enfermedades Neurodegenerativas (CIBERNED), Division of Hepatology and Gene Therapy (CIMA), Center for Applied Medical Research [Plamplona] (CIMA), Universidad de Navarra [Pamplona] (UNAV)-Universidad de Navarra [Pamplona] (UNAV), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000 Bordeaux, France., Voon, Valerie [0000-0001-6790-1776], Apollo - University of Cambridge Repository, Centro de Investigacion Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), and Instituto de Salud Carlos III [Madrid] (ISC)-Instituto de Salud Carlos III [Madrid] (ISC)
Subjects: 0301 basic medicine, Dyskinesia, Drug-Induced, medicine.medical_specialty, Levodopa, Parkinson's disease, Impulse control disorder, [SDV]Life Sciences [q-bio], Population, Disease, Impulsivity, Antiparkinson Agents, 03 medical and health sciences, 0302 clinical medicine, Binge-eating disorder, medicine, Humans, Psychiatry, education, education.field_of_study, Parkinson Disease, medicine.disease, nervous system diseases, 3. Good health, Disruptive, Impulse Control, and Conduct Disorders, 030104 developmental biology, Dyskinesia, Neurology (clinical), medicine.symptom, Psychology, Neuroscience, 030217 neurology & neurosurgery, medicine.drug
Abstract: International audience; Dopaminergic medications used in the treatment of patients with Parkinson's disease are associated with motor and non-motor behavioural side-effects, such as dyskinesias and impulse control disorders also known as behavioural addictions. Levodopa-induced dyskinesias occur in up to 80% of patients with Parkinson's after a few years of chronic treatment. Impulse control disorders, including gambling disorder, binge eating disorder, compulsive sexual behaviour, and compulsive shopping occur in about 17% of patients with Parkinson's disease on dopamine agonists. These behaviours reflect the interactions of the dopaminergic medications with the individual's susceptibility, and the underlying neurobiology of Parkinson's disease. Parkinsonian rodent models show enhanced reinforcing effects of chronic dopaminergic medication, and a potential role for individual susceptibility. In patients with Parkinson's disease and impulse control disorders, impairments are observed across subtypes of decisional impulsivity, possibly reflecting uncertainty and the relative balance of rewards and losses. Impairments appear to be more specific to decisional than motor impulsivity, which might reflect differences in ventral and dorsal striatal engagement. Emerging evidence suggests impulse control disorder subtypes have dissociable correlates, which indicate that individual susceptibility predisposes towards the expression of different behavioural subtypes and neurobiological substrates. Therapeutic interventions to treat patients with Parkinson's disease and impulse control disorders have shown efficacy in randomised controlled trials. Large-scale studies are warranted to identify individual risk factors and novel therapeutic targets for these diseases. Mechanisms underlying impulse control disorders and dyskinesias could provide crucial insights into other behavioural symptoms in Parkinson's disease and addictions in the general population.
Published: 2017

33. A standardized nomenclature and atlas of the male terminalia of Drosophila melanogaster

Author: Stéphane Noselli, Ernesto Sánchez-Herrero, Patrick M. O’Grady, Yoshitaka Kamimura, Virginie Courtier-Orgogozo, John P. Masly, Masanori J. Toda, Olga Nagy, Mark L. Siegal, Mark Rebeiz, Maria D. S. Nunes, Amir Yassin, Alistair P. McGregor, Gavin R. Rice, Jean R. David, Department of Computer Science - University of Pittsburgh, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Évolution, génomes, comportement et écologie (EGCE), Centre National de la Recherche Scientifique (CNRS)-IRD-Université Paris-Sud - Paris 11 (UP11), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie Valrose (IBV), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), Department of Biological Sciences [Pittsburgh], Carnegie Mellon University [Pittsburgh] (CMU), Université Paris-Sud - Paris 11 (UP11)-IRD-Centre National de la Recherche Scientifique (CNRS), DEPARTMENT OF BIOLOGY UNIVERSITY OF OKLAHOMA NORMAN USA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Department of Biological and Medical Sciences, Oxford Brookes University, Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centro de Biología Molecular Severo Ochoa [Madrid] (CBMSO), Universidad Autonoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Center for Genomics and Systems Biology, Department of Biology [New York], New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU)-New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Hokkaido University Museum, Hokkaido University [Sapporo, Japan], ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI (2016), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), and Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE)
Subjects: Male, Future studies, anatomy, [SDV]Life Sciences [q-bio], Anatomical structures, Genitalia, Male, entomology, Brief Communication, Terminology, 03 medical and health sciences, 0302 clinical medicine, Terminology as Topic, medicine, Animals, Interdisciplinary communication, Genitalia, Nomenclature, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Confusion, Cognitive science, 0303 health sciences, biology, terminalia, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], Terminalia, biology.organism_classification, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, Drosophila melanogaster, Insect Science, nomenclature, medicine.symptom, 030217 neurology & neurosurgery
Abstract: International audience; Animal terminalia represent some of the most diverse and rapidly evolving structures in the animal kingdom, and for this reason have been a mainstay in the taxonomic description of species. The terminalia of Drosophila melanogaster, with its wide range of experimental tools, have recently become the focus of increased interest in the fields of development, evolution, and behavior. However, studies from different disciplines have often used discrepant terminologies for the same anatomical structures. Consequently, the terminology of genital parts has become a barrier to integrating results from different fields, rendering it difficult to determine what parts are being referenced. We formed a consortium of researchers studying the genitalia of D. melanogaster to help establish a set of naming conventions. Here, we present a detailed visual anatomy of male genital parts, including a list of synonymous terms, and suggest practices to avoid confusion when referring to anatomical parts in future studies. The goal of this effort is to facilitate interdisciplinary communication and help newcomers orient themselves within the exciting field of Drosophila genitalia. ARTICLE HISTORY
Published: 2019

34. Baseline predictors for visual acuity loss during observation in diabetic macular oedema with good baseline visual acuity

Author: Pierre-Henry Gabrielle, Jay Chhablani, Dinah Zur, Patricio J. Rodríguez-Valdés, Ermete Giancipoli, Catharina Busch, Voraporn Chaikitmongkol, Matias Iglicki, Matus Rehak, Marco Lupidi, Zafer Cebeci, Ana Rita Santos, Małgorzata Ozimek, Paradee Kunavisarut, Inês Laíns, Mali Okada, Valentin Degenhardt, Adrian T. Fung, Samantha Fraser-Bell, Anna Sala-Puigdollers, Assaf Hilely, Anat Loewenstein, Department of Ophthalmology [Leipzig], University Hospital Leipzig, Royal Victorian Eye and Ear Hospital, Division of Ophthalmology, Tel Aviv Sourasky Medical Center [Te Aviv], Sackler Faculty of Medicine, Tel Aviv University [Tel Aviv], Discipline of Clinical Ophthalmology and Eye Health, The University of Sydney, Instituto de Oftalmología y Ciencias Visuales, Escuela de Medicina, Tecnológico de Monterrey (ITESM)-Tecnológico de Monterrey (ITESM), Department of Ophthalmology, Istanbul Faculty of Medicine, Istanbul University -Istanbul University, Department of Biomedical and Surgical Sciences, Section of Ophthalmology, University of Perugia-University of Perugia, Westmead Hospital [Sydney], Faculty of Medicine and Health Sciences, Macquarie University Hospital, Partenaires INRAE-Partenaires INRAE, Ophthalmology Department, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Surgical, Microsurgical and Medical Sciences, Eye Clinic, University of Sassari-University of Sassari-Eye Clinic, University of Sassari-University of Sassari, Department of Biomedical Sciences, University of Sassari, Retina Division, Faculty of Medicine, Chiang Mai University (CMU)-Chiang Mai University (CMU)-Faculty of Medicine, Chiang Mai University (CMU)-Chiang Mai University (CMU), University of Coimbra [Portugal] (UC), Association for Innovation and Biomedical Research on Light and Image (AIBILI), Massachusetts Eye and Ear, Harvard Medical School [Boston] (HMS), Department of Orthoptics, Superior School of Health, Polytechnic Institute of Porto-Polytechnic Institute of Porto, Institut Clínic d'Oftalmologia (ICOF), Hospital Clínic de Barcelona, UPMC Eye Center, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), L.V. Prasad Eye Institute, Partenaires INRAE, Department of General Ophthalmology and Pediatric Ophthalmology Service, Medical University of Lublin, Heidelberg University Hospital [Heidelberg], Incumbent, Sydney A. Fox chair in Ophthalmology, Tel Aviv University [Tel Aviv]-Tel Aviv University [Tel Aviv], Private Retina Service, University of Buenos Aires [Argentina], and Repositório Científico do Instituto Politécnico do Porto
Subjects: Male, Vascular Endothelial Growth Factor A, Visual acuity, observation, genetic structures, goog visual acuity, [SDV]Life Sciences [q-bio], Visual Acuity, Observation, Angiogenesis Inhibitors, Diabetic macular oedema, 0302 clinical medicine, Diabetic retinopathy, Fluorescein Angiography, intravitreal therapy, diabetes, Diabetes, General Medicine, Middle Aged, Bevacizumab, Treatment Outcome, diabetic macular oedema, Cohort, Female, medicine.symptom, Tomography, Optical Coherence, medicine.medical_specialty, Fundus Oculi, Macular Edema, 03 medical and health sciences, Visual acuity loss, Diabetes mellitus, Ophthalmology, Ranibizumab, medicine, Humans, Good visual acuity, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Retrospective Studies, Diabetic Retinopathy, macular oedema, business.industry, Intravitreal therapy, Retrospective cohort study, Odds ratio, medicine.disease, eye diseases, Macular Oedema, 030221 ophthalmology & optometry, sense organs, business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: International audience; Purpose: To investigate clinical baseline characteristics and optical coherence tomography biomarkers predicting visual loss during observation in eyes with diabetic macular oedema (DMO) and good baseline visual acuity (VA). Methods: A sub-analysis of a 12-month, retrospective study, including patients with baseline VA ≤0.1 logMAR (≥20/25 Snellen) and centre-involving DMO. The primary outcome measure was the correlation between baseline characteristics and VA loss ≥10 letters during follow-up. Results: A total of 249 eyes were included in the initial study, of which 147 eyes were observed and 80 eyes received anti-vascular endothelial growth factor (VEGF) treatment at baseline. Visual acuity (VA) loss ≥10 letters occurred in 21.8% (observed cohort) and in 24.3% (treated cohort), respectively. Within observed eyes, presence of hyperreflective foci [HRF; odds ratio (OR): 3.18, p = 0.046], and disorganization of inner retina layers (DRIL; OR: 2.71, p = 0.026) were associated with a higher risk of VA loss ≥10 letters. In observed eyes with a combined presence of HRF, DRIL and ellipsoid zone (EZ) disruption, the risk of VA loss was further increased (OR: 3.86, p = 0.034). In eyes with combined presence of DRIL, HRF and EZ disruption, risk of VA loss was 46.7% (7/15 eyes) in the observed cohort, and 26.3% (5/19 eyes) in the treated cohort (p = 0.26). Conclusion: Patients with DMO and good baseline VA, managed by observation, are of increased risk for VA loss if DRIL, HRF and EZ disruption are present at baseline. Earlier treatment with anti-VEGF in these patients may potentially decrease the risk of VA loss at 12 months.
Published: 2019

35. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa

Author: Leila Karhunen, Geòrgia Escaramís, Ingrid Meulenbelt, Yiran Guo, Matteo Cassina, Stephan Ripke, Alessandro Rotondo, Harry Brandt, Nicholas G. Martin, Andreas Birgegård, Cynthia M. Bulik, Sietske G. Helder, Julie K. O'Toole, Martien J H Kas, Julien Bryois, Nancy L. Pedersen, Philippe Courtet, Virpi M. Leppä, Konstantinos Hatzikotoulas, Liselotte Petersen, Paola Giusti-Rodríguez, André Scherag, Roger A.H. Adan, George Dedoussis, Laramie E. Duncan, John F. Pearson, Helena Gaspar, Andrew W. Bergen, Jurjen J. Luykx, Paul Lichtenstein, Jin P. Szatkiewicz, Lisa R. Lilenfeld, James L. Kennedy, Sébastien Guillaume, Angela Favaro, Artemis Tsitsika, Sara Marsal, Tõnu Esko, Joseph M. Boden, Janiece E. DeSocio, Stefan Ehrlich, Michael Strober, Laura M. Huckins, Alexandra Schosser, Katherine M. Kirk, Gun Peggy Knudsen, Dalila Pinto, Garret D. Stuber, Nicolas Ramoz, Dimitris Dikeos, Jochen Seitz, Stephanie Zerwas, Jolanta Lissowska, Jacques Pantel, Palmiero Monteleone, Katherine A. Halmi, Alessio Maria Monteleone, Scott D. Gordon, Ulrike Schmidt, Franziska Ritschel, Ted Reichborn-Kjennerud, Jennifer Jordan, Ina Giegling, Grant W. Montgomery, Morten Mattingsdal, Esther Walton, Andreas Karwautz, Federica Tozzi, Marion Roberts, Vladimir Janout, P. Eline Slagboom, Laura M. Thornton, Hana Papezova, Mikael Landén, Deborah Kaminská, Robert D. Levitan, Daniela Degortes, Manuel Föcker, Kirsty Kiezebrink, Wolfgang Herzog, Katharina Buehren, Benedetta Nacmias, Christopher Hübel, Eleftheria Zeggini, L. John Horwood, Maria La Via, Claes Norring, Karin Egberts, Nadia Micali, Filip Rybakowski, Monica Forzan, Katrin Männik, Konstantinos Tziouvas, Ioanna Tachmazidou, Thomas Werge, Tracey D. Wade, Raquel Rabionet, Scott J. Crow, Antonio Julià, Jonathan R. I. Coleman, Susana Jiménez-Murcia, Claudette Boni, Roland Burghardt, Christopher S. Franklin, Alfonso Tortorella, Fragiskos Gonidakis, Ioanna Ntalla, Anke Hinney, Jaakko Kaprio, Lenka Slachtova, Anu Raevuori, Sandro Sorbi, Richard Parker, Johanna Giuranna, Kirstin L. Purves, Stephan Zipfel, James J. Crowley, Hidetoshi Inoko, Janet Treasure, Shuyang Yao, Leonid Padyukov, Youl-Ri Kim, Monica Gratacos Mayora, Joanna Hauser, Manfred M. Fichter, Samuli Ripatti, Zeynep Yilmaz, Stephanie Le Hellard, Bochao Danae Lin, Wade H. Berrettini, Gursharan Kalsi, Anders Juréus, Oliver S. P. Davis, Ilka Boehm, Lars Klareskog, Lenka Foretova, Ken B. Hanscombe, Janne Tidselbak Larsen, Hunna J. Watson, Beate Herpertz-Dahlmann, Krista Fischer, Xavier Estivill, Vesna Boraska Perica, Karen S. Mitchell, Andreas J. Forstner, Stefan Herms, Eric F. van Furth, Kelly L. Klump, Anjali K. Henders, Fernando Fernández-Aranda, David C. Whiteman, Catherine M. Olsen, James E. Mitchell, Martina de Zwaan, Johannes Hebebrand, Manuel Mattheisen, Anne Farmer, Agnieszka Słopień, Christian Dina, Dong Li, Marie Navratilova, Sarah E. Medland, Steven Crawford, Elisa Docampo, Craig Johnson, Tetsuya Ando, Elena Tenconi, Roger D. Cone, Sara McDevitt, Allan S. Kaplan, Patrick F. Sullivan, Paolo Santonastaso, Gudrun Wagner, James I. Hudson, Mario Maj, Margarita C T Slof-Op 't Landt, Anna Keski-Rahkonen, Annemarie A. van Elburg, Marta Tyszkiewicz-Nwafor, Danielle M. Dick, Beata Świątkowska, Sven Cichon, Jessica H. Baker, Peter McGuffin, Walter H. Kaye, Stephen W. Scherer, Maurizio Clementi, Valdo Ricca, D. Blake Woodside, Roel A. Ophoff, Unna N. Danner, Aarno Palotie, Elisabeth Widen, Nicholas J. Schork, Jakob Grove, Philip Gorwood, Christian R. Marshall, Preben Bo Mortensen, Melissa A. Munn-Chernoff, Hakon Hakonarson, Martin A. Kennedy, Dan Rujescu, Gerome Breen, Lars Alfredsson, Hartmut Imgart, Steven Gallinger, Ole A. Andreassen, Monika Dmitrzak-Weglarz, Pierre J. Magistretti, Andres Metspalu, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Department of Psychiatry [Philadelphia], University of Pennsylvania [Philadelphia], Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Azienda Ospedaliera di Padova, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Athens Medical School [Athens], unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, Department of Psychiatry (IDIBELL), CIBERobn Fisiopatología de la Obesidad y Nutrición-University Hospital of Bellvitge, Masaryk Memorial Cancer Institute and Medical Faculty of Masaryk University, Universitätsklinikum Bonn (UKB), National and Kapodistrian University of Athens (NKUA), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Department of Child and Adolescent Psychiatry and Psychotherapy, LVR-Klinikum Essen, Universität Duisburg-Essen [Essen], Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Tokai University, Department of Optics [Univ Palacký], Faculty of Science [Univ Palacký], Palacky University Olomouc-Palacky University Olomouc, Vall d'Hebron University Hospital [Barcelona], National Institute for Health and Welfare [Helsinki], Medizinische Universität Wien = Medical University of Vienna, University of Helsinki, Rheumatology Unit, Karolinska Institutet [Stockholm], University of Bergen (UiB), The M Sklodowska-Curie Cancer Center and Institute of Oncology, Università degli studi della Campania 'Luigi Vanvitelli', Center for Integrative Genomics - Institute of Bioinformatics, Génopode (CIG), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL)-Université de Lausanne (UNIL), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Estonian Genome and Medicine, University of Tartu, Section Molecular Epidemiology, Leiden University Medical Center (LUMC), Institute of Psychiatry, King's College, Università degli Studi di Salerno (UNISA), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Masaryk Memorial Cancer Institute (RECAMO), Department of Psychiatry, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Vanderbilt University School of Medicine [Nashville], Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm - Paris Descartes), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Charles University [Prague] (CU), Norwegian Institute of Public Health [Oslo] (NIPH), Department of Medical Epidemiology and Biostatistics (MEB), Medstar Research Institute, Institute of Medical Informatics, Biometry and Epidemiology, The Scripps Translational Science Institute and The Scripps Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University-Medical Research Council, Molecular Epidemiology, The Jackson Laboratory [Bar Harbor] (JAX), Università degli Studi di Perugia (UNIPG), Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Utrecht University [Utrecht], Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Oregon Research Institute (ORI), Weill Medical College of Cornell University [New York], Institute for Marine and Antarctic Studies [Horbat] (IMAS), University of Tasmania [Hobart, Australia] (UTAS), University of California [San Diego] (UC San Diego), University of California, QIMR Berghofer Medical Research Institute, Department of Physics and Astronomy [Leicester], University of Leicester, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Center for Genomic Medicine, Copenhagen University Hospital-Rigshospitalet [Copenhagen], Copenhagen University Hospital, Aarhus University [Aarhus], Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K, National Centre for Register-based Research, School of Computing [Dublin], Dublin City University [Dublin] (DCU), Department of medicine [Stockholm], Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm], Queensland Institute of Medical Research, Department of Genomics, Leiden University Medical Center (LUMC), Watson, H. J., Yilmaz, Z., Thornton, L. M., Hubel, C., Coleman, J. R. I., Gaspar, H. A., Bryois, J., Hinney, A., Leppa, V. M., Mattheisen, M., Medland, S. E., Ripke, S., Yao, S., Giusti-Rodriguez, P., Hanscombe, K. B., Purves, K. L., Adan, R. A. H., Alfredsson, L., Ando, T., Andreassen, O. A., Baker, J. H., Berrettini, W. H., Boehm, I., Boni, C., Perica, V. B., Buehren, K., Burghardt, R., Cassina, M., Cichon, S., Clementi, M., Cone, R. D., Courtet, P., Crow, S., Crowley, J. J., Danner, U. N., Davis, O. S. P., de Zwaan, M., Dedoussis, G., Degortes, D., Desocio, J. E., Dick, D. M., Dikeos, D., Dina, C., Dmitrzak-Weglarz, M., Docampo, E., Duncan, L. E., Egberts, K., Ehrlich, S., Escaramis, G., Esko, T., Estivill, X., Farmer, A., Favaro, A., Fernandez-Aranda, F., Fichter, M. M., Fischer, K., Focker, M., Foretova, L., Forstner, A. J., Forzan, M., Franklin, C. S., Gallinger, S., Giegling, I., Giuranna, J., Gonidakis, F., Gorwood, P., Mayora, M. G., Guillaume, S., Guo, Y., Hakonarson, H., Hatzikotoulas, K., Hauser, J., Hebebrand, J., Helder, S. G., Herms, S., Herpertz-Dahlmann, B., Herzog, W., Huckins, L. M., Hudson, J. I., Imgart, H., Inoko, H., Janout, V., Jimenez-Murcia, S., Julia, A., Kalsi, G., Kaminska, D., Kaprio, J., Karhunen, L., Karwautz, A., Kas, M. J. H., Kennedy, J. L., Keski-Rahkonen, A., Kiezebrink, K., Kim, Y. -R., Klareskog, L., Klump, K. L., Knudsen, G. P. S., La Via, M. C., Le Hellard, S., Levitan, R. D., Li, D., Lilenfeld, L., Lin, B. D., Lissowska, J., Luykx, J., Magistretti, P. J., Maj, M., Mannik, K., Marsal, S., Marshall, C. R., Mattingsdal, M., Mcdevitt, S., Mcguffin, P., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, K., Monteleone, A. M., Monteleone, P., Munn-Chernoff, M. A., Nacmias, B., Navratilova, M., Ntalla, I., O'Toole, J. K., Ophoff, R. A., Padyukov, L., Palotie, A., Pantel, J., Papezova, H., Pinto, D., Rabionet, R., Raevuori, A., Ramoz, N., Reichborn-Kjennerud, T., Ricca, V., Ripatti, S., Ritschel, F., Roberts, M., Rotondo, A., Rujescu, D., Rybakowski, F., Santonastaso, P., Scherag, A., Scherer, S. W., Schmidt, U., Schork, N. J., Schosser, A., Seitz, J., Slachtova, L., Slagboom, P. E., Slof-Op 't Landt, M. C. T., Slopien, A., Sorbi, S., Swiatkowska, B., Szatkiewicz, J. P., Tachmazidou, I., Tenconi, E., Tortorella, A., Tozzi, F., Treasure, J., Tsitsika, A., Tyszkiewicz-Nwafor, M., Tziouvas, K., van Elburg, A. A., van Furth, E. F., Wagner, G., Walton, E., Widen, E., Zeggini, E., Zerwas, S., Zipfel, S., Bergen, A. W., Boden, J. M., Brandt, H., Crawford, S., Halmi, K. A., Horwood, L. J., Johnson, C., Kaplan, A. S., Kaye, W. H., Mitchell, J. E., Olsen, C. M., Pearson, J. F., Pedersen, N. L., Strober, M., Werge, T., Whiteman, D. C., Woodside, D. B., Stuber, G. D., Gordon, S., Grove, J., Henders, A. K., Jureus, A., Kirk, K. M., Larsen, J. T., Parker, R., Petersen, L., Jordan, J., Kennedy, M., Montgomery, G. W., Wade, T. D., Birgegard, A., Lichtenstein, P., Norring, C., Landen, M., Martin, N. G., Mortensen, P. B., Sullivan, P. F., Breen, G., Bulik, C. M., and Kas lab
Subjects: Male, Anorexia Nervosa, LD SCORE REGRESSION, Medizin, Genome-wide association study, MYC, VARIANTS, Body Mass Index, ddc:616.89, 0302 clinical medicine, POLYGENIC RISK, genetics, molecular biology, anorexia nervosa, Anorexia Nervosa/etiology/genetics/pathology, 0303 health sciences, Metabolic Diseases/complications/genetics, HERITABILITY, Mental Disorders, Anorèxia nerviosa, Genomics, metabo-psychiatric origins, Prognosis, 3. Good health, PREVALENCE, Eating disorders, INSIGHTS, Phenotype, Anorexia nervosa (differential diagnoses), Medical genetics, Female, GENETIC CORRELATIONS, Adult, medicine.medical_specialty, Quantitative Trait Loci, Biology, Article, 03 medical and health sciences, Metabolic Diseases, mental disorders, medicine, Genetics, Journal Article, Humans, Genetic Predisposition to Disease, Psychiatry, 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, Case-control study, EATING-DISORDERS, Anorexia nervosa, medicine.disease, Comorbidity, Genetic architecture, Genomics/methods, Genòmica, Case-Control Studies, Mental Disorders/complications/genetics, COMORBIDITY, Body mass index, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Characterized primarily by a low body-mass index, anorexia nervosa is a complex and serious illness 1, affecting 0.9–4% of women and 0.3% of men 2–4, with twin-based heritability estimates of 50–60% 5. Mortality rates are higher than those in other psychiatric disorders 6, and outcomes are unacceptably poor 7. Here we combine data from the Anorexia Nervosa Genetics Initiative (ANGI) 8,9 and the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED) and conduct a genome-wide association study of 16,992 cases of anorexia nervosa and 55,525 controls, identifying eight significant loci. The genetic architecture of anorexia nervosa mirrors its clinical presentation, showing significant genetic correlations with psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits, independent of the effects of common variants associated with body-mass index. These results further encourage a reconceptualization of anorexia nervosa as a metabo-psychiatric disorder. Elucidating the metabolic component is a critical direction for future research, and paying attention to both psychiatric and metabolic components may be key to improving outcomes.
Published: 2019

36. A Preliminary Theory for Open Source Ecosystem Micro-economics

Author: Nicolas Jullien, Klaas-Jan Stol, James Herbsleb, Laboratoire d'Economie et de Gestion de l'Ouest (LEGO), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Mines-Télécom [Paris] (IMT)-Institut Brestois des Sciences de l'Homme et de la Société (IBSHS), Université de Brest (UBO)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet (MARSOUIN), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Bretagne Loire (UBL)-Université de Bretagne Sud (UBS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI), Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), University of Limerick (UL), Computer Science Department - Carnegie Mellon University, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Brian Fitzgerald, Audris Mockus, Minghui Zhou, Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Brestois des Sciences de l'Homme et de la Société (IBSHS), Université de Brest (UBO)-Université de Brest (UBO)-Université de Bretagne Sud (UBS)-Université Bretagne Loire (UBL), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Bretagne Sud (UBS)-Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI)-Université de Brest (UBO)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Brest (UBO)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Université de Rennes (UR)-Université de Bretagne Sud (UBS)-Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI)-Université de Brest (UBO)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 2 (UR2)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), and IMT Atlantique (IMT Atlantique)
Subjects: ecosystem, [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [SHS.GESTION]Humanities and Social Sciences/Business administration, Open / free software, [SHS.ECO]Humanities and Social Sciences/Economics and Finance
Abstract: International audience; While there has been substantial empirical work identifying factors that influence the contribution to, and use of open source software, we have as yet little theory that identifies the key constructs and relationships that would allow us to explain and predict how open source ecosystems function. What is needed is a clearly articulated and empirically validated theory of open source ecosystems. Such a theory should: • Explain why, how, and when key resources---primarily the work of developers---are attracted to or depart from a project or an ecosystem. • Explain why, how, and when projects and ecosystems move through a life cycle, from initiation, growth, maturity, and decline and death. • Explain how decisions about use are made, and how the cumulatively influence the socio-technical position of a project within an ecosystem, and the relations of ecosystems to each other.The remainder of this chapter provides a sketch of such a theory in the form of a set of propositions, which may form the foundation for future empirical work
Published: 2019

37. Tight FPT Approximations for k-Median and k-Means

Author: Cohen-Addad, Vincent, Gupta, Anupam, Kumar, Amit, Lee, Euiwoong, Li, Jason, Centre National de la Recherche Scientifique (CNRS), Recherche Opérationnelle (RO), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Computer Science Department - Carnegie Mellon University, University of Pittsburgh (PITT), and Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)
Subjects: FOS: Computer and information sciences, 0209 industrial biotechnology, 000 Computer science, knowledge, general works, k-means, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], 02 engineering and technology, core-sets, and phrases approximation algorithms, k-median, 020901 industrial engineering & automation, fixed-parameter tractability, Computer Science, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Data Structures and Algorithms (cs.DS), clustering
Abstract: We investigate the fine-grained complexity of approximating the classical $k$-median / $k$-means clustering problems in general metric spaces. We show how to improve the approximation factors to $(1+2/e+\varepsilon)$ and $(1+8/e+\varepsilon)$ respectively, using algorithms that run in fixed-parameter time. Moreover, we show that we cannot do better in FPT time, modulo recent complexity-theoretic conjectures., 20 pages, to appear in ICALP 19
Published: 2019

38. Cross-task weakly supervised learning from instructional videos

Author: David F. Fouhey, Josef Sivic, Jean-Baptiste Alayrac, Ivan Laptev, Ramazan Gokberk Cinbis, Dimitri Zhukov, Models of visual object recognition and scene understanding (WILLOW), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département d'informatique - ENS Paris (DI-ENS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Middle East Technical University (METU), Middle East Technical University [Ankara] (METU), Computer Science Department - Carnegie Mellon University, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Laboratoire d'informatique de l'école normale supérieure (LIENS), Département d'informatique - ENS Paris (DI-ENS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Département d'informatique de l'École normale supérieure (DI-ENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
Subjects: FOS: Computer and information sciences, Parsing, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Supervised learning, Computer Science - Computer Vision and Pattern Recognition, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, 02 engineering and technology, computer.software_genre, Task (project management), Component (UML), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, [INFO]Computer Science [cs], Artificial intelligence, business, computer, Natural language processing
Abstract: In this paper we investigate learning visual models for the steps of ordinary tasks using weak supervision via instructional narrations and an ordered list of steps instead of strong supervision via temporal annotations. At the heart of our approach is the observation that weakly supervised learning may be easier if a model shares components while learning different steps: `pour egg' should be trained jointly with other tasks involving `pour' and `egg'. We formalize this in a component model for recognizing steps and a weakly supervised learning framework that can learn this model under temporal constraints from narration and the list of steps. Past data does not permit systematic studying of sharing and so we also gather a new dataset, CrossTask, aimed at assessing cross-task sharing. Our experiments demonstrate that sharing across tasks improves performance, especially when done at the component level and that our component model can parse previously unseen tasks by virtue of its compositionality., 18 pages, 17 figures, to be published in proceedings of the CVPR, 2019
Published: 2019

39. Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping

Author: Huan Fu, Dacheng Tao, Kayhan Batmanghelich, Kun Zhang, Chaohui Wang, Mingming Gong, UBTECH Sydney Artificial IntelIigence Centre, The University of Sydney, Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Laboratoire d'Informatique Gaspard-Monge (LIGM), École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel, Department of Philosophy, Carnegie Mellon University [Pittsburgh] (CMU), and This research was supported by Australian Research Council Projects FL-170100117, DP-180103424, and IH-180100002. This work was partially supported by SAP SE and CNRS INS2I-JCJC-INVISANA. This work is partially supported by NIH Award Number 1R01HL141813-01, NSF 1839332 Tripod+X, and SAP SE. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. We were also grateful for the computational resources provided by Pittsburgh Super Computing grant number TGASC170024.
Subjects: FOS: Computer and information sciences, Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), Deep learning, 05 social sciences, Geometric transformation, Computer Science - Computer Vision and Pattern Recognition, Function (mathematics), 010501 environmental sciences, 01 natural sciences, Article, Domain (software engineering), Image (mathematics), Constraint (information theory), Consistency (database systems), 0502 economics and business, [INFO]Computer Science [cs], Artificial intelligence, 050207 economics, business, Algorithm, Transformation geometry, 0105 earth and related environmental sciences
Abstract: Unsupervised domain mapping aims to learn a function to translate domain X to Y by a function GXY in the absence of paired examples. Finding the optimal GXY without paired data is an ill-posed problem, so appropriate constraints are required to obtain reasonable solutions. One of the most prominent constraints is cycle consistency, which enforces the translated image by GXY to be translated back to the input image by an inverse mapping GYX. While cycle consistency requires the simultaneous training of GXY and GY X, recent studies have shown that one-sided domain mapping can be achieved by preserving pairwise distances between images. Although cycle consistency and distance preservation successfully constrain the solution space, they overlook the special properties that simple geometric transformations do not change the semantic structure of images. Based on this special property, we develop a geometry-consistent generative adversarial network (GcGAN), which enables one-sided unsupervised domain mapping. GcGAN takes the original image and its counterpart image transformed by a predefined geometric transformation as inputs and generates two images in the new domain coupled with the corresponding geometry-consistency constraint. The geometry-consistency constraint reduces the space of possible solutions while keep the correct solutions in the search space. Quantitative and qualitative comparisons with the baseline (GAN alone) and the state-of-the-art methods including CycleGAN and DistanceGAN demonstrate the effectiveness of our method.
Published: 2019

40. BOLA (BolA Family Member 3) Deficiency Controls Endothelial Metabolism and Glycine Homeostasis in Pulmonary Hypertension

Author: Sara O. Vargas, Rajeev Saggar, Nobuyuki Kagiyama, Mauricio Rojas, James E. Dahlman, Ying Tang, Yi Yin Tai, Rajan Saggar, Qiujun Yu, Bing Wang, John Gorcsan, Manling Zhang, Aaron B. Waxman, Rajesh Kumar, Masataka Sugahara, Ning Feng, Miranda K. Culley, Jyotsna Pilli, Daniel G. Anderson, Robert Langer, Thomas Bertero, Steven J. Mullett, Brian B. Graham, W. Dean Wallace, Vinny Negi, John Sembrat, David J. Ross, Johannes A. Mayr, Stacy G. Wendell, Sruti Shiva, Taijyu Satoh, Karin Brugger, Wei Sun, Omar F. Khan, Jingsi Zhao, Kathleen J. Haley, Stephen Y. Chan, Massachusetts Institute of Technology. Department of Chemical Engineering, Massachusetts Institute of Technology. Department of Biological Engineering, Harvard University--MIT Division of Health Sciences and Technology, Google Inc, Research at Google, Department of Chemical Engineering (DCE-MIT), Massachusetts Institute of Technology (MIT), Division of Cardiology [Pittsburgh, PA, États-Unis], Center for Metabolism and Mitochondrial Medicine [Pittsburgh, PA, États-Unis] (C3M), University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)-University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Centre National de la Recherche Scientifique (CNRS), and ANR-18-CE14-0025,MatriPHate,Comprendre la dynamique de la niche vasculaire dans l'hypertension pulmonaire.(2018)
Subjects: Iron-Sulfur Proteins, Male, 030204 cardiovascular system & hematology, Mitochondrion, Cardiorespiratory Medicine and Haematology, Inbred C57BL, Cardiovascular, Mice, 0302 clinical medicine, 2.1 Biological and endogenous factors, RNA, Small Interfering, Aetiology, Child, Lung, Cells, Cultured, ComputingMilieux_MISCELLANEOUS, 0303 health sciences, Cultured, 3. Good health, mitochondria, medicine.anatomical_structure, Child, Preschool, Public Health and Health Services, Female, Cardiology and Cardiovascular Medicine, Oxidation-Reduction, Adult, medicine.medical_specialty, hypertension, Endothelium, Adolescent, endothelium, pulmonary, Hypertension, Pulmonary, Cells, Cell Respiration, Clinical Sciences, Glycine, Small Interfering, Mitochondrial Proteins, 03 medical and health sciences, Young Adult, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Physiology (medical), Internal medicine, Vascular, medicine, Genetics, Animals, Humans, Preschool, 030304 developmental biology, Nutrition, business.industry, Animal, Infant, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Metabolism, medicine.disease, Pulmonary hypertension, Mice, Inbred C57BL, Family member, Disease Models, Animal, Endocrinology, Cardiovascular System & Hematology, Disease Models, Mutation, RNA, Endothelium, Vascular, business, Homeostasis
Abstract: Background: Deficiencies of iron-sulfur (Fe-S) clusters, metal complexes that control redox state and mitochondrial metabolism, have been linked to pulmonary hypertension (PH), a deadly vascular disease with poorly defined molecular origins. BOLA3 (BolA Family Member 3) regulates Fe-S biogenesis, and mutations in BOLA3 result in multiple mitochondrial dysfunction syndrome, a fatal disorder associated with PH. The mechanistic role of BOLA3 in PH remains undefined. Methods: In vitro assessment of BOLA3 regulation and gain- and loss-of-function assays were performed in human pulmonary artery endothelial cells using siRNA and lentiviral vectors expressing the mitochondrial isoform of BOLA3. Polymeric nanoparticle 7C1 was used for lung endothelium-specific delivery of BOLA3 siRNA oligonucleotides in mice. Overexpression of pulmonary vascular BOLA3 was performed by orotracheal transgene delivery of adeno-associated virus in mouse models of PH. Results: In cultured hypoxic pulmonary artery endothelial cells, lung from human patients with Group 1 and 3 PH, and multiple rodent models of PH, endothelial BOLA3 expression was downregulated, which involved hypoxia inducible factor-2-dependent transcriptional repression via histone deacetylase 1-mediated histone deacetylation. In vitro gain- and loss-of-function studies demonstrated that BOLA3 regulated Fe-S integrity, thus modulating lipoate-containing 2-oxoacid dehydrogenases with consequent control over glycolysis and mitochondrial respiration. In contexts of siRNA knockdown and naturally occurring human genetic mutation, cellular BOLA3 deficiency downregulated the glycine cleavage system protein H, thus bolstering intracellular glycine content. In the setting of these alterations of oxidative metabolism and glycine levels, BOLA3 deficiency increased endothelial proliferation, survival, and vasoconstriction while decreasing angiogenic potential. In vivo, pharmacological knockdown of endothelial BOLA3 and targeted overexpression of BOLA3 in mice demonstrated that BOLA3 deficiency promotes histological and hemodynamic manifestations of PH. Notably, the therapeutic effects of BOLA3 expression were reversed by exogenous glycine supplementation. Conclusions: BOLA3 acts as a crucial lynchpin connecting Fe-S-dependent oxidative respiration and glycine homeostasis with endothelial metabolic reprogramming critical to PH pathogenesis. These results provide a molecular explanation for the clinical associations linking PH with hyperglycinemic syndromes and mitochondrial disorders. These findings also identify novel metabolic targets, including those involved in epigenetics, Fe-S biogenesis, and glycine biology, for diagnostic and therapeutic development., National Institutes of Health (U.S.) (Grant R01 HL124021), National Institutes of Health (U.S.) (Grant HL 122596), National Institutes of Health (U.S.) (Grant HL 138437), National Institutes of Health (U.S.) (Grant UH2 TR002073)
Published: 2019

41. Overview of the DESI Legacy Imaging Surveys

Author: Dey, Arjun, Schlegel, David J., Lang, Dustin, Blum, Robert, Burleigh, Kaylan, Fan, Xiaohui, Findlay, Joseph R., Finkbeiner, Doug, Herrera, David, Juneau, Stephanie, Landriau, Martin, Levi, Michael, McGreer, Ian, Meisner, Aaron, Myers, Adam D., Moustakas, John, Nugent, Peter, Patej, Anna, Schlafly, Edward F., Walker, Alistair R., Valdes, Francisco, Weaver, Benjamin A., Yèche, Christophe, Zou, Hu, Zhou, Xu, Abareshi, Behzad, Abbott, T. M. C., Abolfathi, Bela, Aguilera, C., Alam, Shadab, Allen, Lori, Alvarez, A., Annis, James, Ansarinejad, Behzad, Aubert, Marie, Beechert, Jacqueline, Bell, Eric F., BenZvi, Segev Y., Beutler, Florian, Bielby, Richard M., Bolton, Adam S., Briceño, César, Buckley-Geer, Elizabeth J., Butler, Karen, Calamida, Annalisa, Carlberg, Raymond G., Carter, Paul, Casas, Ricard, Castander, Francisco J., Choi, Yumi, Comparat, Johan, Cukanovaite, Elena, Delubac, Timothee, DeVries, Kaitlin, Dey, Sharmila, Dhungana, Govinda, Dickinson, Mark, Ding, Zhejie, Donaldson, John B., Duan, Yutong, Duckworth, Christopher J., Eftekharzadeh, Sarah, Eisenstein, Daniel J., Etourneau, Thomas, Fagrelius, Parker A., Farihi, Jay, Fitzpatrick, Mike, Font-Ribera, Andreu, Fulmer, Leah, Gansicke, Boris T., Gaztanaga, Enrique, George, Koshy, Gerdes, David W., Gontcho, Satya Gontcho A., Gorgoni, Claudio, Green, Gregory, Guy, Julien, Harmer, Diane, Hernandez, M., Honscheid, Klaus, Lijuan, Huang, W., James, David, Jannuzi, Buell T., Jiang, Linhua, Joyce, Richard, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kneib, Jean-Paul, Kueter-Young, Andrea, Lan, Ting-Wen, Lauer, Tod, Guillou, Laurent Le, Suu, Auguste Le Van, Lee, Jae Hyeon, Lesser, Michael, Levasseur, Laurence Perreault, Li, Ting S., Mann, Justin L., Marshall, Bob, Martinez-Vazquez, C. E., Martini, Paul, Bourboux, Helion du Mas des, McManus, Sean, Meier, Tobias Gabriel, Menard, Brice, Metcalfe, Nigel, Munoz-Gutierrez, Andrea, Najita, Joan, Napier, Kevin, Narayan, Gautham, Newman, Jeffrey A., Nie, Jundan, Nord, Brian, Norman, Dara J., Olsen, Knut A. G., Paat, Anthony, Palanque-Delabrouille, Nathalie, Peng, Xiyan, Poppett, Claire L., Poremba, Megan R., Prakash, Abhishek, Rabinowitz, David, Raichoor, Anand, Rezaie, Mehdi, Robertson, A. N., Roe, Natalie A., Ross, Ashley J., Ross, Nicholas P., Rudnick, Gregory, Safonova, Sasha, Saha, Abhijit, Sanchez, F. Javier, Savary, Elodie, Schweiker, Heidi, Scott, Adam, Seo, Hee-Jong, Shan, Huanyuan, Silva, David R., Slepian, Zachary, Soto, Christian, Sprayberry, David, Staten, Ryan, Stillman, Coley M., Stupak, Robert J., Summers, David L., Tie, Suk Sien, Tirado, H., Vargas-Magana, Mariana, Vivas, A. Katherina, Wechsler, Risa H., Williams, Doug, Yang, Jinyi, Yang, Qian, Yapici, Tolga, Zaritsky, Dennis, Zenteno, A., Zhang, Kai, Zhang, Tianmeng, Zhou, Rongpu, Zhou, Zhimin, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Universidad Antonio Nariño (UAN), Département d'Astrophysique (ex SAP) (DAP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, National University of Defense Technology [China], Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Departamento de FisicaTeorica e IFT-UAM/CSIC, Universidad Autónoma de Madrid (UAM), EPFL Laboratoire d’astrophysique, Ecole Polytechnique Fédérale de Lausanne (EPFL), National Optical Astronomy Observatory (NOAO), Columbia University [New York], Institut de Ciencies de l'Espai [Barcelona] (ICE-CSIC), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Biologie des Interactions Neurones / Glie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Arizona, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Astrophysique de Toulouse-Tarbes (LATT), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut Lagrange de Paris, Chimie, Modélisation et Imagerie pour la Biologie [Orsay], Université Paris-Sud - Paris 11 (UP11)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Computer Vision Center (Centre de visio per computador) (CVC), Universitat Autònoma de Barcelona (UAB), APC - Cosmologie, AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Ministry of Education Key Laboratory of Protein Sciences, Center for Structural Biology, Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Universidad Autonoma de Madrid (UAM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne-Centre National de la Recherche Scientifique (CNRS), National Natural Science Foundation of China, Department of Energy (US), National Energy Research Scientific Computing Center (US), National Science Foundation (US), National Optical Astronomy Observatory (US), Lawrence Berkeley National Laboratory, Harvard University, Dey, Arjun, Schlegel, David J., Lang, Dustin, Blum, Robert, Fan, Xiaohui, Finkbeiner, Douglas, Herrera, David, Juneau, Stephanie, Landriau, Martin, Levi, Michael, McGreer, Ian, Meisner, Aaron, Moustakas, John, Nugent, Peter, Schlafly, Edward F., Walker, Alistair, Valdés, Francisco, Zou, Hu, Abolfathi, Bela, Allen, Lori, Annis, James, Ansarinejad, Behzad, Bell, Eric F., BenZvi, Segev, Beutler, Florian, Calamida, Annalisa, Carlberg, Raymond G., Casas, Richard, Castander, Francisco J., Choi, Yumi, Dickinson, Mark, Duan, Yutong, Fagrelius, Parker, Farihi, Jay, Fulmer, Leah, Gaztañaga, Enrique, George, Koshy, Gerdes, David W., Green, Gregory, James, David J., Jannuz, Buell T., Jiang, Linhua, Joyce, Richard, Karkar, Sonia, Kehoe, Robert, Lan, Ting-Wen, Lauer, Tod R., Le Guillou, Laurent, Lesser, Michael, Marshall, Robert, Martini, Paul, Mas des Bourboux, Hélion du, Metcalfe, Nigel, Narayan, Gautham, Newman, Jeffrey A., Nord, Brian, Olsen, Knut, Prakash, Abhishek, Ross, Nicholas P., Rudnick, Gregory, Safonova, Sasha, Saha, Abhijit, Schweiker, Heidi, Silva, David R., Sien, Suk, Vivas, Kathy, Yang, Jinyi, Yang, Qian, Yapici, Tolga, Zaritsky, Dennis, Zhang, Kai, Zhang, Tianmeng, Zhou, Rongpu, University of St Andrews. School of Physics and Astronomy, Dey, Arjun [0000-0002-4928-4003], Schlegel, David J. [0000-0002-5042-5088], Lang, Dustin [0000-0002-1172-0754], Blum, Robert [0000-0002-8622-4237], Fan, Xiaohui [0000-0003-3310-0131], Finkbeiner, Douglas [0000-0003-2808-275X], Herrera, David [0000-0003-2092-6727], Juneau, Stephanie [0000-0002-0000-2394], Landriau, Martin [0000-0003-1838-8528], Levi, Michael [0000-0003-1887-1018], McGreer, Ian [0000-0002-3461-5228], Meisner, Aaron [0000-0002-1125-7384], Moustakas, John [0000-0002-2733-4559], Nugent, Peter [0000-0002-3389-0586], Schlafly, Edward F. [0000-0002-3569-7421], Walker, Alistair [0000-0002-7123-8943], Valdés, Francisco [0000-0001-5567-1301], Zou, Hu [0000-0002-6684-3997], Abolfathi, Bela [0000-0003-1820-8486], Allen, Lori [0000-0002-7789-5119], Annis, James [0000-0002-0609-3987], Ansarinejad, Behzad [0000-0002-6443-3396], Bell, Eric F. [0000-0002-5564-9873], BenZvi, Segev [0000-0001-5537-4710], Beutler, Florian [0000-0003-0467-5438], Calamida, Annalisa [0000-0002-0882-7702], Carlberg, Raymond G. [0000-0002-7667-0081], Casas, Richard [0000-0002-8165-5601], Castander, Francisco J. [0000-0001-7316-4573], Choi, Yumi [0000-0003-1680-1884], Dickinson, Mark [0000-0001-5414-5131], Duan, Yutong [0000-0002-2611-0895], Fagrelius, Parker [0000-0001-6974-5826], Farihi, Jay [0000-0003-1748-602X], Fulmer, Leah [0000-0001-9247-7794], Gaztañaga, Enrique [0000-0001-9632-0815], George, Koshy [0000-0002-1734-8455], Gerdes, David W. [0000-0001-6942-2736], Green, Gregory [0000-0001-5417-2260], James, David J. [0000-0001-5160-4486], Jannuz, Buell T. [0000-0002-1578-6582], Jiang, Linhua [0000-0003-4176-6486], Joyce, Richard [0000-0003-0201-5241], Karkar, Sonia [0000-0003-2832-777X], Kehoe, Robert [0000-0002-7101-697X], Lan, Ting-Wen [0000-0001-8857-7020], Lauer, Tod R. [0000-0003-3234-7247], Le Guillou, Laurent [0000-0001-7178-8868], Lesser, Michael [0000-0002-7199-0537], Marshall, Robert [0000-0002-6880-9987], Martini, Paul [0000-0002-4279-4182], Mas des Bourboux, Hélion du [0000-0001-8955-3573], Metcalfe, Nigel [0000-0001-9034-4402], Narayan, Gautham [0000-0001-6022-0484], Newman, Jeffrey A. [0000-0001-8684-2222], Nord, Brian [0000-0001-6706-8972], Olsen, Knut [0000-0002-7134-8296], Prakash, Abhishek [0000-0003-4451-4444], Ross, Nicholas P. [0000-0003-1830-6473], Rudnick, Gregory [0000-0001-5851-1856], Safonova, Sasha [0000-0002-2240-7421], Saha, Abhijit [0000-0002-6839-4881], Schweiker, Heidi [0000-0001-9580-4869], Silva, David R. [0000-0002-7678-2155], Sien, Suk [0000-0002-5249-1353], Vivas, Kathy [0000-0003-4341-6172], Yang, Jinyi [0000-0001-5287-4242], Yang, Qian [0000-0002-6893-3742], Yapici, Tolga [0000-0002-5306-4804], Zaritsky, Dennis [0000-0002-5177-727X], Zhang, Kai [0000-0002-9808-3646], Zhang, Tianmeng [0000-0002-8531-5161], Zhou, Rongpu [0000-0001-5381-4372], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Météo-France -Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Subjects: 010504 meteorology & atmospheric sciences, [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], media_common.quotation_subject, halo, FOS: Physical sciences, Surveys, 01 natural sciences, milky-way tomography, Footprint, Software, surveys, Observatory, 0103 physical sciences, QB Astronomy, redshift distributions, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, dark energy survey, STFC, QB, 0105 earth and related environmental sciences, Remote sensing, media_common, business.industry, RCUK, Astronomy and Astrophysics, cosmos, 3rd-DAS, Probabilistic inference, Galactic plane, streams, Photometry (astronomy), Space and Planetary Science, Sky, Satellite, digital sky survey, galaxy, Catalogs, Astrophysics - Instrumentation and Methods for Astrophysics, business, sdss, sextractor, catalogs, Geology, astro-ph.IM
Abstract: The DESI Legacy Imaging Surveys (http://legacysurvey.org/) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Survey) that will jointly image ≈14,000 deg2 of the extragalactic sky visible from the northern hemisphere in three optical bands (g, r, and z) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12, and 22 μm) observed by the Wide-field Infrared Survey Explorer satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project., The BASS is also supported by the External Cooperation Program of Chinese Academy of Sciences (Grant # 114A11KYSB20160057), and Chinese National Natural Science Foundation (Grant # 11433005). The Legacy Surveys imaging of the DESI footprint is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231, by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; and by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to NOAO. Travel and other support for the DECaLS and MzLS projects is provided by the National Optical Astronomy Observatory, the Lawrence Berkeley National Laboratory, and the DESI Project. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 320964 (WDTracer). J. Moustakas gratefully acknowledges support from the National Science Foundation grant AST1616414. A. Dey thanks the Radcliffe Institute for Advanced Study for their generous support during the year these surveys were initiated. A. Dey, D. J. Schlegel, and D. Lang thank the Aspen Center for Physics, which is supported by National Science Foundation grant PHY-1066293, for their hospitality and support during summer 2015 during which part of this work was conducted.
Published: 2019

42. Subjective cognitive decline in and across international cohort studies of ageing: the COSMIC collaboration

Author: Roehr, Susanne, pabst, Alexander, Riedel-Heller, Steffi, Ancelin, Marie-Laure, Anstey, Kaarin, Brayne, Carol, Brodaty, Henry, Ganguli, Mary, Guerchet, Maëlenn, Guaita, Antonio, Katz, Mindy, Woong Kim, Ki, Koehler, Sebastian, Kumagai, Shuzo, Lipton, Richard, Lobo, Antonio, Ng Tze, Pin, Preux, Pierre-Marie, Ritchie, Karen, Shahar, Suzana, Turana, Yuda, Boxtel, Martin van, Lipnicki, Darren, Sachdev, Perminder, Institute of Social Medicine, Occupational Health and Public Health, Universität Leipzig [Leipzig], Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre for Research on Ageing, Health and Wellbeing, Australian National University (ANU)-College of Medicine, Biology and Environment, Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Department of Psychiatry, University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), King‘s College London, Saul B. Korey Department of Neurology, Yeshiva University- Albert Einstein College of Medicine [New York], Department of Epidemiology and Population Health, Department of Medicine and Psychiatry, University of Zaragoza - Universidad de Zaragoza [Zaragoza], Service de l'Information Médicale et de l'Évaluation [CHU Limoges] (SIME), CHU Limoges, Laboratoire de Biostatistique et d'Informatique Médicale, Université de Limoges (UNILIM), and Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)
Subjects: [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2019

43. Blue-violet light decreases VEGFa production in an in vitro model of AMD

Author: Coralie Barrau, Thierry Villette, Delphine Pagan, Melanie Marie, Jose A. Sahel, Pauline Gondouin, Serge Picaud, Institut de la Vision, Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Essilor International R&D [Charenton-le-Pont], Department of Ophthalmology [Pittsburg, PA, USA], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), This work was financially supported by research grants from the following: Essilor International, INSERM, Sorbonne Université, the LabEx LIFESENSES (ANR-10-LABX-65), as part of the first Investissements d’Avenir program (ANR-11-IDEX-0004-02) and IHU FOReSIGHT (ANR-18-IAHU-0001), both supported by French state funds managed by the Agence Nationale de la Recherche within the Investissements d’Avenir program., ANR-11-IDEX-0004,SUPER,Sorbonne Universités à Paris pour l'Enseignement et la Recherche(2011), ANR-18-IAHU-0001,FOReSIGHT,Enabling Vision Restoration(2018), Bodescot, Myriam, Sorbonne Universités à Paris pour l'Enseignement et la Recherche - - SUPER2011 - ANR-11-IDEX-0004 - IDEX - VALID, Enabling Vision Restoration - - FOReSIGHT2018 - ANR-18-IAHU-0001 - IAHU - VALID, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Pennsylvania Commonwealth System of Higher Education (PCSHE)
Subjects: Vascular Endothelial Growth Factor A, Light, Swine, Apoptosis, [SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC], Retinal Pigment Epithelium, Toxicology, Pathology and Laboratory Medicine, Biochemistry, Neovascularization, chemistry.chemical_compound, Macular Degeneration, 0302 clinical medicine, Medicine and Health Sciences, Geriatric Ophthalmology, Cells, Cultured, 0303 health sciences, Multidisciplinary, Cell Death, Physics, Electromagnetic Radiation, Messenger RNA, Retinal Degeneration, Vascular endothelial growth factor, Nucleic acids, Vascular endothelial growth factor A, medicine.anatomical_structure, [SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Cell Processes, Toxicity, Physical Sciences, Sunlight, Medicine, Retinal Disorders, Solar Radiation, medicine.symptom, Anatomy, Intracellular, Research Article, Visible Light, Cell Survival, Science, Ocular Anatomy, In Vitro Techniques, Models, Biological, Retina, 03 medical and health sciences, Ocular System, [SDV.BC.BC] Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC], medicine, Animals, White Light, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Eye Proteins, 030304 developmental biology, Retinal pigment epithelium, Biology and Life Sciences, Cell Biology, Molecular biology, eye diseases, Ophthalmology, chemistry, Geriatrics, Macular Disorders, 030221 ophthalmology & optometry, RNA, sense organs
Abstract: International audience; Blue light is an identified risk factor for age-related macular degeneration (AMD). The production of vascular endothelial growth factor (VEGF), leading to neovascularization, is a major complication of the wet form of this disease. We investigated how blue light affects VEGF expression and secretion using A2E-loaded retinal pigment epithelium (RPE) cells, a cell model of AMD. Incubation of RPE cells with A2E resulted in a significant increase in VEGF mRNA and, intracellular and secreted VEGF protein levels, but not mRNA levels of VEGFR1 or VEGFR2. Blue light exposure of A2E-loaded RPE cells resulted in a decrease in VEGF mRNA and protein levels, but an increase in VEGFR1 levels. The toxicity of 440 nm light on A2E-loaded RPE cells was enhanced by VEGF supplementation. Our results suggest that age-related A2E accumulation may result in VEGF synthesis and release. This synthesis of VEGF, which enhances blue light toxicity for the RPE cells, is itself suppressed by blue light. Anti-VEGF therapy may therefore improve RPE survival in AMD.
Published: 2019

44. Supernovae from blue supergiant progenitors: What a mess!

Author: Luc Dessart, D. John Hillier, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), and Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE)
Subjects: media_common.quotation_subject, FOS: Physical sciences, Astrophysics, 01 natural sciences, Asymmetry, supernovae: individual: SN1987A, supernovae: general, 0103 physical sciences, Radiative transfer, Ejecta, 010303 astronomy & astrophysics, Solar and Stellar Astrophysics (astro-ph.SR), ComputingMilieux_MISCELLANEOUS, Line (formation), media_common, Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, Light curve, Supernova, Astrophysics - Solar and Stellar Astrophysics, 13. Climate action, Space and Planetary Science, radiative transfer, [SDU]Sciences of the Universe [physics], Magnitude (astronomy), hydrodynamics, Supergiant, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract: Since the discovery of SN (supernova) 1987A, the number of Type II-peculiar SNe has grown, revealing a rich diversity in photometric and spectroscopic properties. In this study, using a single 15Msun low-metallicity progenitor that dies as a blue supergiant (BSG), we have generated explosions with a range of energies and 56Ni masses. We then performed the radiative transfer modeling with CMFGEN from 1d until 300d after explosion. Our models yield light curves that rise to optical maximum in ~100d, with a similar brightening rate, and with a peak absolute V-band magnitude spanning from -14 to -16.5mag. All models follow a similar color evolution, entering the recombination phase within a few days of explosion, and reddening further until the nebular phase. Their spectral evolution is analogous, mostly differing in line profile width. With this model set, we study the Type II-pec SNe 1987A, 2000cb, 2006V, 2006au, 2009E, and 2009mw. Their photometric and spectroscopic diversity suggest that there is no prototypical Type II-pec SN. These SNe brighten to maximum faster than our model set, except perhaps SN2009mw. The spectral evolution of SN1987A conflicts with other observations and with model predictions from 20d until maximum: Halpha narrows and weakens while BaII lines strengthen faster than predicted, which we interpret as signatures of clumping. SN2000cb rises to maximum in only 20d and shows weak BaII lines. Its spectral evolution is well matched by an energetic ejecta but the light curve may require asymmetry. The persistent blue color, narrow lines, and weak Halpha absorption, seen in SN2006V conflicts with expectations for a BSG explosion powered by 56Ni and may require an alternative power source. In addition to diversity arising from different BSG progenitors, we surmise that their ejecta are asymmetric, clumped, and, in some cases, not solely powered by 56Ni decay [abridged]., Comment: Accepted for publication in A&A
Published: 2019

45. Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data

Author: Raphael Stern, Shumo Cui, Matt Bunting, R’mani Haulcy, Daniel B. Work, Miles Churchill, Fangyu Wu, Maria Laura Delle Monache, Jonathan Sprinkle, Benjamin Seibold, Nathaniel Hamilton, Benedetto Piccoli, Rahul Bhadani, Department of Civil and Environmental Engineering [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Department of mathematics [Philadelphia], Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Systèmes Commandés en Réseau (NECS-POST), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département Automatique (GIPSA-DA), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Electrical and Computer Engineering [Tucson] (ECE), University of Arizona, Lipscomb University [Nashville], Yale University [New Haven], Department of Mathematical Sciences [Camden], Rutgers University [Camden], Rutgers University System (Rutgers)-Rutgers University System (Rutgers), Pennsylvania Commonwealth System of Higher Education (PCSHE), Civil and Environmental Engineering [Illinois] (CEE), and Inria Associate Team MEMENTO
Subjects: Scanner, Source code, Computer science, media_common.quotation_subject, Transportation, 010501 environmental sciences, Management Science and Operations Research, Tracking (particle physics), 01 natural sciences, Standard deviation, Imaging phantom, computer vision, 0502 economics and business, Computer vision, [INFO]Computer Science [cs], fuel rate, 0105 earth and related environmental sciences, Civil and Structural Engineering, media_common, 050210 logistics & transportation, business.industry, 05 social sciences, open datasets, Experimental data, traffic waves, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Automotive Engineering, Trajectory, Artificial intelligence, business, vehicle trajectories, Traffic wave
Abstract: International audience; High-fidelity vehicle trajectory data is becoming increasingly important in traffic modeling, especially to capture dynamic features such as stop-and-go waves. This article presents data collected in a series of eight experiments on a circular track with human drivers. The data contains smooth flowing and stop-and-go traffic conditions. The vehicle trajectories presented in this article are collected using a panoramic 360-degree camera, and fuel rate data is recorded via an on-board diagnostics scanner installed in each vehicle. The video data from the 360-degree camera is processed with an offline unsupervised algorithm to extract vehicle trajectories from experimental data. The trajectories are highly accurate, with a mean positional bias of less than 0.01 m and a standard deviation of 0.11 m. The velocities are also validated to be highly accurate with a bias of 0.02 m/s and standard deviation of 0.09 m/s. The source code and data used in this article are published with this work.
Published: 2019

46. Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic

Author: Maria Laura Delle Monache, Benedetto Piccoli, Miles Churchill, Yuche Chen, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Raphael Stern, Fangyu Wu, Department of Civil and Environmental Engineering [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Department of Civil and Environmental Engineering [Nashville], Vanderbilt University [Nashville], Systèmes Commandés en Réseau (NECS-POST), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département Automatique (GIPSA-DA), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Mathematical Sciences [Camden], Rutgers University [Camden], Rutgers University System (Rutgers)-Rutgers University System (Rutgers), Department of mathematics [Philadelphia], Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Electrical and Computer Engineering [Tuscon], University of Arizona, and Inria Associate Team MEMENTO
Subjects: Autonomous vehicle, 020209 energy, Flow (psychology), Transportation, 02 engineering and technology, 7. Clean energy, Automotive engineering, Acceleration, Ring road, Range (aeronautics), 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Air quality index, Cruise control, General Environmental Science, Civil and Structural Engineering, 050210 logistics & transportation, [SDE.IE]Environmental Sciences/Environmental Engineering, 05 social sciences, Traffic flow, Traffic waves, [STAT]Statistics [stat], Vehicle emissions, [SPI.GCIV]Engineering Sciences [physics]/Civil Engineering, 13. Climate action, Traffic stability, Environmental science, Traffic wave
Abstract: International audience; It is anticipated that in the near future, the penetration rate of vehicles with some autonomous capabilities (e.g., adaptive cruise control, lane following, full automation, etc.) will increase on roadways. This work investigates the potential reduction of vehicular emissions caused by the whole traffic stream, when a small number of autonomous vehicles (e.g., 5% of the vehicle fleet) are designed to stabilize the traffic flow and dampen stop-and-go waves. To demonstrate this, vehicle velocity and acceleration data are collected from a series of field experiments that use a single autonomous-capable vehicle to dampen traffic waves on a circular ring road with 20 to 21 human-piloted vehicles. From the experimental data, vehicle emissions (hydrocarbons, carbon monoxide, carbon dioxide, and nitrogen oxides) are estimated using the MOVES emissions model. This work finds that vehicle emissions of the entire fleet may be reduced by between 15% (for carbon dioxide) and 73% (for nitrogen oxides) when stop-and-go waves are reduced or eliminated by the dampening action of the autonomous vehicle in the flow of human drivers. This is possible if a small fraction (∼5%) of vehicles are autonomous and designed to actively dampen traffic waves. However, these reductions in emissions apply to driving conditions under which stop-and-go waves are present. Less significant reductions in emissions may be realized from a deploymentof AVs in a broader range of traffic conditions.
Published: 2019

47. The difficulty of inferring progenitor masses from Type II-Plateau supernova light curves

Author: D. John Hillier, Luc Dessart, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Institut d'Astrophysique de Paris (IAP), and Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Metallicity, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Kinetic energy, 01 natural sciences, 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, Ejecta, 010303 astronomy & astrophysics, Stellar evolution, ComputingMilieux_MISCELLANEOUS, Astrophysics::Galaxy Astrophysics, Solar and Stellar Astrophysics (astro-ph.SR), Envelope (waves), Physics, [PHYS]Physics [physics], High Energy Astrophysical Phenomena (astro-ph.HE), 010308 nuclear & particles physics, Astronomy and Astrophysics, Light curve, Supernova, Stars, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, [SDU]Sciences of the Universe [physics], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - High Energy Astrophysical Phenomena
Abstract: Much controversy surrounds the inferred progenitor masses of Type II-Plateau (II-P) supernovae (SNe). The debate is nourished by the discrepant results from radiation-hydrodynamics simulations, from pre-explosion imaging, and from studies of host stellar populations. Here, we present a controlled experiment using four solar metallicity models with zero-age main-sequence masses of 12, 15, 20, and 25Msun. Because of the effects of core burning and surface mass loss, these models reach core collapse as red-supergiant (RSG) stars with a similar H-rich envelope mass of 8 to 9Msun but with final masses in the range 11 to 16Msun. We explode the progenitors using a thermal bomb, adjusting the energy deposition to yield an asymptotic ejecta kinetic energy of 1.25 x 10^51 erg and an initial 56Ni mass of 0.04Msun. The resulting SNe produce similar photometric and spectroscopic properties from 10 to 200d. The spectral characteristics are degenerate. The scatter in early-time color results from the range in progenitor radii, while the differences in late-time spectra reflect the larger oxygen yields in more massive progenitors. Because the progenitors have a comparable H-rich envelope mass, the photospheric phase duration is comparable for all models; the difference in He-core mass is invisible. As different main-sequence masses can produce progenitors with a similar H-rich envelope mass, light curve modeling cannot provide a robust and unique solution for the ejecta mass of Type II-P SNe. The numerous uncertainties in massive star evolution and wind mass loss also prevent a robust association with a main-sequence star mass. Light curve modeling can at best propose compatibility., Comment: Accepted for publication in A&A
Published: 2019
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48. Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

Author: Alex Drlica-Wagner, Yao-Yuan Mao, Susmita Adhikari, Robert Armstrong, Arka Banerjee, Nilanjan Banik, Keith Bechtol, Simeon Bird, Kimberly Boddy, Ana Bonaca, Jo Bovy, Buckley, Matthew R., Esra Bulbul, Chihway Chang, George Chapline, Johann Cohen-Tanugi, Alessandro Cuoco, Francis-Yan Cyr-Racine, Dawson, William A., Ana Díaz Rivero, Cora Dvorkin, Denis Erkal, Fassnacht, Christopher D., Juan García-Bellido, Maurizio Giannotti, Vera Gluscevic, Nathan Golovich, David Hendel, Hezaveh, Yashar D., Shunsaku Horiuchi, James Jee, M., Manoj Kaplinghat, Keeton, Charles R., Koposov, Sergey E., Li, Ting S., Rachel Mandelbaum, Mcdermott, Samuel D., Mitch Mcnanna, Michael Medford, Manuel Meyer, Moniez Marc, Simona Murgia, Nadler, Ethan O., Lina Necib, Eric Nuss, Pace, Andrew B., Peter, Annika H. G., Polin, Daniel A., Chanda Prescod-Weinstein, Read, Justin I., Rogerio Rosenfeld, Nora Shipp, Simon, Joshua D., Slatyer, Tracy R., Oscar Straniero, Strigari, Louis E., Erik Tollerud, Anthony Tyson, J., Mei-Yu Wang, Wechsler, Risa H., David Wittman, Hai-Bo Yu, Gabrijela Zaharijas, Yacine Ali-Haïmoud, James Annis, Simon Birrer, Rahul Biswas, Jonathan Blazek, Brooks, Alyson M., Elizabeth Buckley-Geer, Regina Caputo, Eric Charles, Seth Digel, Scott Dodelson, Brenna Flaugher, Joshua Frieman, Eric Gawiser, Hearin, Andrew P., Renee Hložek, Bhuvnesh Jain, Jeltema, Tesla E., Koushiappas, Savvas M., Mariangela Lisanti, Marilena Loverde, Siddharth Mishra-Sharma, Newman, Jeffrey A., Brian Nord, Erfan Nourbakhsh, Steven Ritz, Robertson, Brant E., Sánchez-Conde, Miguel A., Anže Slosar, Tait, Tim M. P., Aprajita Verma, Ricardo Vilalta, Walter, Christopher W., Brian Yanny, Zentner, Andrew R., Marine Sciences Research Center (MSRC), Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), Laboratoire Univers et Particules de Montpellier (LUPM), Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy-le-Vieux de Physique Théorique (LAPTH), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Ohio State University [Columbus] (OSU), Abdus Salam International Centre for Theoretical Physics [Trieste] (ICTP), SLAC National Accelerator Laboratory (SLAC), Stanford University, Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), California Institute of Technology (CALTECH), LSST Dark Energy Collaboration, and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Montpellier 2 - Sciences et Techniques (UM2)
Subjects: [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Astrophysics::Instrumentation and Methods for Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics
Abstract: 94 pages, 22 figures, 1 table; Astrophysical and cosmological observations currently provide the only robust, empirical measurements of dark matter. Future observations with Large Synoptic Survey Telescope (LSST) will provide necessary guidance for the experimental dark matter program. This white paper represents a community effort to summarize the science case for studying the fundamental physics of dark matter with LSST. We discuss how LSST will inform our understanding of the fundamental properties of dark matter, such as particle mass, self-interaction strength, non-gravitational couplings to the Standard Model, and compact object abundances. Additionally, we discuss the ways that LSST will complement other experiments to strengthen our understanding of the fundamental characteristics of dark matter. More information on the LSST dark matter effort can be found at https://lsstdarkmatter.github.io/ .
Published: 2019

49. Ubiquitous non-Majorana Zero-Bias Conductance Peaks in Nanowire Devices

Author: Peng Yu, Jingguang G. Chen, Sergey Frolov, Benjamin D. Woods, Sebastien Plissard, Diana Car, Erik P. A. M. Bakkers, Tudor D. Stanescu, Moïra Hocevar, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), West Virginia University [Morgantown], Institut Néel (NEEL), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF), Université Grenoble Alpes (UGA), Eindhoven University of Technology [Eindhoven] (TU/e), Équipe Matériaux et Procédés pour la Nanoélectronique (LAAS-MPN), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UPS), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J), Department of Physics and Astronomy [Pittsburgh], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Nanophysique et Semiconducteurs (NPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Nanophysique et Semiconducteurs (NEEL - NPSC), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Photonics and Semiconductor Nanophysics, Center for Quantum Materials and Technology Eindhoven, and Advanced Nanomaterials & Devices
Subjects: Nanowire, General Physics and Astronomy, Zero-point energy, FOS: Physical sciences, Condensed Matter, 01 natural sciences, chemistry.chemical_compound, [PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph], Condensed Matter::Superconductivity, 0103 physical sciences, Bound state, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), [CHIM.CRIS]Chemical Sciences/Cristallography, 010306 general physics, Quantum tunnelling, Physics, Electronic Properties, Condensed matter physics, Condensed Matter - Mesoscale and Nanoscale Physics, Indium antimonide, Conductance, [CHIM.MATE]Chemical Sciences/Material chemistry, [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph], Magnetic field, MAJORANA, chemistry, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]
Abstract: We perform tunneling measurements on indium antimonide nanowire/superconductor hybrid devices fabricated for the studies of Majorana bound states. At finite magnetic field, resonances that strongly resemble Majorana bound states, including zero-bias pinning, become common to the point of ubiquity. Since Majorana bound states are predicted in only a limited parameter range in nanowire devices, we seek an alternative explanation for the observed zero-bias peaks. With the help of a self-consistent Poission-Schr\"odinger multiband model developed in parallel, we identify several families of trivial subgap states which overlap and interact, giving rise to a crowded spectrum near zero energy and zero-bias conductance peaks in experiments. These findings advance the search for Majorana bound states through improved understanding of broader phenomena found in superconductor-semiconductor systems., Comment: 14 pages, 4 figures in main text and 8 figures in supplemental materials. All raw data can be found under directory \anc
Published: 2019
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50. The Detailed Science Case for the Maunakea Spectroscopic Explorer, 2019 edition

Author: The MSE Science Team, Babusiaux, Carine, Bergemann, Maria, Burgasser, Adam, Ellison, Sara, Haggard, Daryl, Huber, Daniel, Kaplinghat, Manoj, Li, Ting, Marshall, Jennifer, Martell, Sarah, McConnachie, Alan, Percival, Will, Robotham, Aaron, Shen, Yue, Thirupathi, Sivarani, Tran, Kim-Vy, Yeche, Christophe, Yong, David, Adibekyan, Vardan, Aguirre, Victor Silva, Angelou, George, Asplund, Martin, Balogh, Michael, Banerjee, Projjwal, Bannister, Michele, Barría, Daniela, Battaglia, Giuseppina, Bayo, Amelia, Bechtol, Keith, Beck, Paul G., Beers, Timothy C., Bellinger, Earl P., Berg, Trystyn, Bestenlehner, Joachim M., Bilicki, Maciej, Bitsch, Bertram, Bland-Hawthorn, Joss, Bolton, Adam S., Boselli, Alessandro, Bovy, Jo, Bragaglia, Angela, Buzasi, Derek, Caffau, Elisabetta, Cami, Jan, Carleton, Timothy, Casagrande, Luca, Cassisi, Santi, Catelan, Márcio, Chang, Chihway, Cortese, Luca, Damjanov, Ivana, Davies, Luke J. M., de Grijs, Richard, de Rosa, Gisella, Deason, Alis, di Matteo, Paola, Drlica-Wagner, Alex, Erkal, Denis, Escorza, Ana, Ferrarese, Laura, Fleming, Scott W., Font-Ribera, Andreu, Freeman, Ken, Gänsicke, Boris T., Gabdeev, Maksim, Gallagher, Sarah, Gandolfi, Davide, García, Rafael A., Gaulme, Patrick, Geha, Marla, Gennaro, Mario, Gieles, Mark, Gilbert, Karoline, Gordon, Yjan, Goswami, Aruna, Greco, Johnny P., Grillmair, Carl, Guiglion, Guillaume, Hénault-Brunet, Vincent, Hall, Patrick, Handler, Gerald, Hansen, Terese, Hathi, Nimish, Hatzidimitriou, Despina, Haywood, Misha, Santisteban, Juan V. Hernández, Hillenbrand, Lynne, Hopkins, Andrew M., Howlett, Cullan, Hudson, Michael J., Ibata, Rodrigo, Ilić, Dragana, Jablonka, Pascale, Ji, Alexander, Jiang, Linhua, Juneau, Stephanie, Karakas, Amanda, Karinkuzhi, Drisya, Kim, Stacy Y., Kong, Xu, Konstantopoulos, Iraklis, Krogager, Jens-Kristian, Lagos, Claudia, Lallement, Rosine, Laporte, Chervin, Lebreton, Yveline, Lee, Khee-Gan, Lewis, Geraint F., Lianou, Sophia, Liu, Xin, Lodieu, Nicolas, Loveday, Jon, Mészáros, Szabolcs, Makler, Martin, Mao, Yao-Yuan, Marchesini, Danilo, Martin, Nicolas, Mateo, Mario, Melis, Carl, Merle, Thibault, Miglio, Andrea, Mohammad, Faizan Gohar, Molaverdikhani, Karan, Monier, Richard, Morel, Thierry, Mosser, Benoit, Nataf, David, Necib, Lina, Neilson, Hilding R., Newman, Jeffrey A., Nierenberg, A. M., Nord, Brian, Noterdaeme, Pasquier, O'Dea, Chris, Oshagh, Mahmoudreza, Pace, Andrew B., Palanque-Delabrouille, Nathalie, Pandey, Gajendra, Parker, Laura C., Pawlowski, Marcel S., Peter, Annika H. G., Petitjean, Patrick, Petric, Andreea, Placco, Vinicius, Popović, Luka Č., Price-Whelan, Adrian M., Prsa, Andrej, Ravindranath, Swara, Rich, R. Michael, Ruan, John, Rybizki, Jan, Sakari, Charli, Sanderson, Robyn E., Schiavon, Ricardo, Schimd, Carlo, Serenelli, Aldo, Siebert, Arnaud, Siudek, Malgorzata, Smiljanic, Rodolfo, Smith, Daniel, Sobeck, Jennifer, Starkenburg, Else, Stello, Dennis, Szabó, Gyula M., Szabo, Robert, Taylor, Matthew A., Thanjavur, Karun, Thomas, Guillaume, Tollerud, Erik, Toonen, Silvia, Tremblay, Pier-Emmanuel, Tresse, Laurence, Tsantaki, Maria, Valentini, Marica, Van Eck, Sophie, Variu, Andrei, Venn, Kim, Villaver, Eva, Walker, Matthew G., Wang, Yiping, Wang, Yuting, Wilson, Michael J., Wright, Nicolas, Xu, Siyi, Yildiz, Mutlu, Zhang, Huawei, Zwintz, Konstanze, Anguiano, Borja, Bedell, Megan, Chaplin, William, Collet, Remo, Cuillandre, Jean-Charles, Duc, Pierre-Alain, Flagey, Nicolas, Hermes, JJ, Hill, Alexis, Kamath, Devika, Laychak, Mary Beth, Małek, Katarzyna, Marley, Mark, Sheinis, Andy, Simons, Doug, Sousa, Sérgio G., Szeto, Kei, Ting, Yuan-Sen, Vegetti, Simona, Wells, Lisa, Babas, Ferdinand, Bauman, Steve, Bosselli, Alessandro, Côté, Pat, Colless, Matthew, Comparat, Johan, Courtois, Helene, Crampton, David, Croom, Scott, Davies, Luke, Denny, Kelly, Devost, Daniel, Driver, Simon, Fernandez-Lorenzo, Mirian, Guhathakurta, Raja, Han, Zhanwen, Higgs, Clare, Hill, Vanessa, Ho, Kevin, Hopkins, Andrew, Hudson, Mike, Isani, Sidik, Jarvis, Matt, Johnson, Andrew, Jullo, Eric, Kaiser, Nick, Kneib, Jean-Paul, Koda, Jun, Koshy, George, Mignot, Shan, Murowinski, Rick, Newman, Jeff, Nusser, Adi, Pancoast, Anna, Peng, Eric, Peroux, Celine, Pichon, Christophe, Poggianti, Bianca, Richard, Johan, Salmon, Derrick, Seibert, Arnaud, Shastri, Prajval, Smith, Dan, Sutaria, Firoza, Tao, Charling, Taylor, Edwar, Tully, Brent, van Waerbeke, Ludovic, Vermeulen, Tom, Walker, Matthew, Willis, Jon, Willot, Chris, Withington, Kanoa, International Max Planck Research School for Astronomy and Cosmic Physics (University of Heidelberg), Institut de Planétologie et d'Astrophysique de Grenoble (IPAG), Centre National d'Études Spatiales [Toulouse] (CNES)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Center for Astrophysics and Space Sciences [La Jolla] (CASS), University of California [San Diego] (UC San Diego), University of California-University of California, Cognition, Langues, Langage, Ergonomie (CLLE-ERSS), École pratique des hautes études (EPHE)-Université Toulouse - Jean Jaurès (UT2J)-Université Bordeaux Montaigne-Centre National de la Recherche Scientifique (CNRS), Technicolor R & I [Cesson Sévigné], Technicolor, University of Edinburgh, University of Texas-Pan American (UTPA), University of Texas-Pan, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Max-Planck-Institut für Astrophysik (MPA), Max-Planck-Gesellschaft, Australian National University (ANU), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Max-Planck-Institut für Astronomie (MPIA), Lund Observatory, Lund University [Lund], Anglo-Australian Observatory (AAO), Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Zentrum für Astronomie der Universität Heidelberg (ZAH), Universität Heidelberg [Heidelberg], Department of Physics and Astronomy [London, ON], University of Western Ontario (UWO), National Research Council of Canada (NRC), STScI, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institute of Astronomy, University of Cambridge [UK] (CAM), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Galaxies, Etoiles, Physique, Instrumentation (GEPI), PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Caltech Department of Astronomy [Pasadena], California Institute of Technology (CALTECH), Département d'Astrophysique (ex SAP) (DAP), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), European Southern Observatory (ESO), Institut de Physique de Rennes (IPR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), State Key Laboratory of Fine Chemicals, Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), School of Physics and Astronomy, University of Birmingham [Birmingham], Laboratoire Univers et Particules de Montpellier (LUPM), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Department of Physics and Astronomy [Pittsburgh], University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Sciences, Philosophie, Histoire (SPHERE UMR 7219), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Astronomy [UCLA Los Angeles], University of California [Los Angeles] (UCLA), Institute of Space Sciences [Barcelona] (ICE-CSIC), Spanish National Research Council [Madrid] (CSIC), Stellar Astrophysics Centre [Aarhus] (SAC), Aarhus University [Aarhus], High Speed Networks Laboratory, Dept. of Telecommunications and Media Informatics, Budapest University of Technology and Economics [Budapest] (BME), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique et de Géophysique [Liège], Université de Liège, College of Life Sciences, Peking Univertsity, Department of Mathematics [UCLA], Department of Psychology, St John's University, Canada-France-Hawaii Telescope Corporation (CFHT), National Research Council of Canada (NRC)-Centre National de la Recherche Scientifique (CNRS)-University of Hawai'i [Honolulu] (UH), Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Departamento de FisicaTeorica e IFT-UAM/CSIC, Universidad Autonoma de Madrid (UAM), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Herzberg Institute of Astrophysics, Department of electronic engineering, Chang Gung University, Observatoire astronomique de Strasbourg (ObAS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), The Open Group Research Institute (TOGRI), Université Joseph Fourier - Grenoble 1 (UJF), École normale supérieure - Paris (ENS Paris), Laboratoire Astrophysique de Toulouse-Tarbes (LATT), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Observatoire astronomique de Strasbourg (OAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), MSE Science Team, Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Toulouse - Jean Jaurès (UT2J)-Université Bordeaux Montaigne-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institute of Astronomy [Cambridge], Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - 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Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Universidad Autónoma de Madrid (UAM), École normale supérieure - Paris (ENS-PSL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Lebreton, Yveline
Subjects: [PHYS]Physics [physics], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, [PHYS] Physics [physics], [SDU] Sciences of the Universe [physics], [SDU]Sciences of the Universe [physics], Astrophysics of Galaxies (astro-ph.GA), Astrophysics::Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: (Abridged) The Maunakea Spectroscopic Explorer (MSE) is an end-to-end science platform for the design, execution and scientific exploitation of spectroscopic surveys. It will unveil the composition and dynamics of the faint Universe and impact nearly every field of astrophysics across all spatial scales, from individual stars to the largest scale structures in the Universe. Major pillars in the science program for MSE include (i) the ultimate Gaia follow-up facility for understanding the chemistry and dynamics of the distant Milky Way, including the outer disk and faint stellar halo at high spectral resolution (ii) galaxy formation and evolution at cosmic noon, via the type of revolutionary surveys that have occurred in the nearby Universe, but now conducted at the peak of the star formation history of the Universe (iii) derivation of the mass of the neutrino and insights into inflationary physics through a cosmological redshift survey that probes a large volume of the Universe with a high galaxy density. MSE is positioned to become a critical hub in the emerging international network of front-line astronomical facilities, with scientific capabilities that naturally complement and extend the scientific power of Gaia, the Large Synoptic Survey Telescope, the Square Kilometer Array, Euclid, WFIRST, the 30m telescopes and many more., 9 chapters, 301 pages, 100 figures. This version of the DSC is a comprehensive update of the original version, released in 2016, which can be downloaded at arXiv:1606.00043. A detailed summary of the design of MSE is available in the MSE Book 2018, available at arXiv:1810.08695
Published: 2019

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