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Emerging technologies for improving embryo selection: a systematic review

Advanced Health Care Technologies 2015年 1卷 55-64页

作者： Sengul, Yasemin Bener, Ayse Uyar, Asli 1 Computer Programming Program Advanced Vocational Studies Dogus University Acibadem Kadikoy Istanbul Turkey 2 Data Science Laboratory Department of Mechanical and Industrial Engineering Ryerson University Toronto ON Canada 3 Department of Computer Engineering Okan University Tuzla Istanbul Turkey

Background: Embryo selection procedure is one of the critical success factors in in vitro fertilization treatment. Various embryo selection technologies have emerged within the past decade. These technologies are either used in combination with morphology or introduced to replace the conventional morphological evaluation. This review aims at investigating the effect of these novel embryo selection technologies on in vitro fertilization success rates. Methods: A systematic review of the literature was performed among full-text English articles in the PubMed database. Study selection was based on the predefined inclusion and exclusion criteria. Clinical effectiveness of the selected studies was measured in terms of implantation, pregnancy, live birth, and multiple pregnancy rates. Results: Five studies were identified that fitted the inclusion criteria. In these studies, researchers used aneuploidy screening, metabolomic profiling, and time-lapse imaging analysis as the new technologies. Among these studies, the one that conducted a randomized controlled trial of a commercial time-lapse imaging system demonstrated significant improvement in implantation rate. Conclusion: Studies using emerging technologies for embryo assessment provide promising results in retrospective analysis. On the other hand, randomized controlled trial studies that test the efficacy of novel embryo selection techniques in clinical practice failed to demonstrate a consistent improvement in the resulting success rates. This review provides a snapshot of the most recent literature on embryo assessment and embryo selection studies. Our findings show that there is a lack of comparative measurements and analyses that are able to assess benefits of the novel technologies in the field of embryo selection.

关键词： embryo selection in vitro fertilization IVF

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

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

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

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Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis (vol 50, pg 1368, 2020)

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PSYCHOLOGICAL MEDICINE 2020年第16期50卷 2816-2816页

作者： Wu, Yin Levis, Brooke Riehm, Kira E. Saadat, Nazanin Levis, Alexander W. Azar, Marleine Rice, Danielle B. Boruff, Jill Cuijpers, Pim Gilbody, Simon Ioannidis, John P. A. Kloda, Lorie A. McMillan, Dean Patten, Scott B. Shrier, Ian Ziegelstein, Roy C. Akena, Dickens H. Arroll, Bruce Ayalon, Liat Baradaran, Hamid R. Baron, Murray Bombardier, Charles H. Butterworth, Peter Carter, Gregory Chagas, Marcos H. Chan, Juliana C. N. Cholera, Rushina Conwell, Yeates de Manvan Ginkel, Janneke M. Fann, Jesse R. Fischer, Felix H. Fung, Daniel Gelaye, Bizu Goodyear-Smith, Felicity Greeno, Catherine G. Hall, Brian J. Harrison, Patricia A. Harter, Martin Hegerl, Ulrich Hides, Leanne Hobfoll, Stevan E. Hudson, Marie Hyphantis, Thomas Inagaki, Masatoshi Jette, Nathalie Khamseh, Mohammad E. Kiely, Kim M. Kwan, Yunxin Lamers, Femke Liu, Shen-Ing Lotrakul, Manote Loureiro, Sonia R. Lowe, Bernd McGuire, Anthony Mohd-Sidik, Sherina Munhoz, Tiago N. Muramatsu, Kumiko Osorio, Flavia L. Patel, Vikram Pence, Brian W. Persoons, Philippe Picardi, Angelo Reuter, Katrin Rooney, Alasdair G. Santos, Ina S. Shaaban, Juwita Sidebottom, Abbey Simning, Adam Stafford, Lesley Sung, Sharon Tan, Pei Lin Lynnette Turner, Alyna van Weert, Henk C. White, Jennifer Whooley, Mary A. Winkley, Kirsty Yamada, Mitsuhiko Benedetti, Andrea Thombs, Brett D. [a1]Lady Davis Institute for Medical Research Jewish General Hospital Montréal Québec Canada [a2]Department of Psychiatry McGill University Montréal Québec Canada [a3]Department of Epidemiology Biostatistics and Occupational Health McGill University Montréal Québec Canada [a4]Department of Psychology McGill University Montréal Québec Canada [a5]Schulich Library of Physical Sciences Life Sciences and Engineering McGill University Montreal Quebec Canada [a6]Department of Clinical Neuro and Developmental Psychology Amsterdam Public Health Research Institute Vrije Universiteit Amsterdam the Netherlands [a7]Hull York Medical School and the Department of Health Sciences University of York Heslington York UK [a8]Department of Medicine Department of Health Research and Policy Department of Biomedical Data Science Department of Statistics Stanford University Stanford California USA [a9]Library Concordia University Montréal Québec Canada [a10]Department of Community Health Sciences University of Calgary Calgary Alberta Canada [a11]Hotchkiss Brain Institute and O’Brien Institute for Public Health University of Calgary Calgary Alberta Canada [a12]Department of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA [a13]Department of Psychiatry Makerere University College of Health Sciences Kampala Uganda [a14]Department of General Practice and Primary Health Care University of Auckland Auckland New Zealand [a15]Louis and Gabi Weisfeld School of Social Work Bar Ilan University Ramat Gan Israel [a16]Endocrine Research Center Institute of Endocrinology and Metabolism Iran University of Medical Sciences Tehran Iran [a17]Ageing Clinical & Experimental Research Team Institute of Applied Health Sciences School of Medicine Medical Sciences and Nutrition University of Aberdeen Aberdeen Scotland UK [a18]Department of Medicine McGill University Montréal Québec Canada [a19]Department of Rehabilitation Medicine University of Washington S

BackgroundItem 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and *** conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic ***16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).ConclusionsPHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

关键词： Depression diagnostic accuracy individual participant data meta-analysis meta-analysis PHQ-8 PHQ-9 screening systematic review

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Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

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Nature communications 2021年第1期12卷 995页

作者： Vasiliki Lagou Reedik Mägi Jouke- Jan Hottenga Harald Grallert John R B Perry Nabila Bouatia-Naji Letizia Marullo Denis Rybin Rick Jansen Josine L Min Antigone S Dimas Anna Ulrich Liudmila Zudina Jesper R Gådin Longda Jiang Alessia Faggian Amélie Bonnefond Joao Fadista Maria G Stathopoulou Aaron Isaacs Sara M Willems Pau Navarro Toshiko Tanaka Anne U Jackson May E Montasser Jeff R O'Connell Lawrence F Bielak Rebecca J Webster Richa Saxena Jeanette M Stafford Beate St Pourcain Nicholas J Timpson Perttu Salo So-Youn Shin Najaf Amin Albert V Smith Guo Li Niek Verweij Anuj Goel Ian Ford Paul C D Johnson Toby Johnson Karen Kapur Gudmar Thorleifsson Rona J Strawbridge Laura J Rasmussen-Torvik Tõnu Esko Evelin Mihailov Tove Fall Ross M Fraser Anubha Mahajan Stavroula Kanoni Vilmantas Giedraitis Marcus E Kleber Günther Silbernagel Julia Meyer Martina Müller-Nurasyid Andrea Ganna Antti-Pekka Sarin Loic Yengo Dmitry Shungin Jian'an Luan Momoko Horikoshi Ping An Serena Sanna Yvonne Boettcher N William Rayner Ilja M Nolte Tatijana Zemunik Erik van Iperen Peter Kovacs Nicholas D Hastie Sarah H Wild Stela McLachlan Susan Campbell Ozren Polasek Olga Carlson Josephine Egan Wieland Kiess Gonneke Willemsen Johanna Kuusisto Markku Laakso Maria Dimitriou Andrew A Hicks Rainer Rauramaa Stefania Bandinelli Barbara Thorand Yongmei Liu Iva Miljkovic Lars Lind Alex Doney Markus Perola Aroon Hingorani Mika Kivimaki Meena Kumari Amanda J Bennett Christopher J Groves Christian Herder Heikki A Koistinen Leena Kinnunen Ulf de Faire Stephan J L Bakker Matti Uusitupa Colin N A Palmer J Wouter Jukema Naveed Sattar Anneli Pouta Harold Snieder Eric Boerwinkle James S Pankow Patrik K Magnusson Ulrika Krus Chiara Scapoli Eco J C N de Geus Matthias Blüher Bruce H R Wolffenbuttel Michael A Province Goncalo R Abecasis James B Meigs G Kees Hovingh Jaana Lindström James F Wilson Alan F Wright George V Dedoussis Stefan R Bornstein Peter E H Schwarz Anke Tönjes Bernhard R Winkelmann Bernhard O Boehm Winfried März Andres Metspalu Jackie F Price Panos Delouk Wellcome Centre for Human Genetics University of Oxford Oxford UK. Department of Microbiology and Immunology Laboratory of Adaptive Immunity KU Leuven Leuven Belgium. VIB-KU Leuven Center for Brain and Disease Research Leuven Belgium. Estonian Genome Centre Institute of Genomics University of Tartu Tartu Estonia. Department of Biological Psychology Vrije Universiteit Amsterdam The Netherlands. Amsterdam Public Health Research Institute VU University medical center Amsterdam The Netherlands. Research Unit of Molecular Epidemiology Institute of Epidemiology Helmholtz Zentrum München Research Center for Environmental Health Neuherberg Germany. German Center for Diabetes Research (DZD München-Neuherberg Germany. MRC Epidemiology Unit University of Cambridge School of Clinical Medicine Cambridge UK. University of Lille Nord de France Lille France. CNRS UMR8199 Institut Pasteur de Lille Lille France. INSERM U970 Paris Cardiovascular Research Center PARCC 75006 Paris France. Department of Life Sciences and Biotechnology University of Ferrara Ferrara Italy. Boston University Data Coordinating Center Boston MA USA. Department of Psychiatry VU University Medical Center Amsterdam The Netherlands. MRC Integrative Epidemiology Unit University of Bristol Bristol UK. Bristol Medical School University of Bristol Bristol UK. Institute for Bioinnovation Biomedical Sciences Research Center Al. Fleming Vari Greece. Department of Medicine Imperial College London London UK. Cardiovascular Medicine Unit Center for Molecular Medicine Department of Medicine Karolinska Institutet Stockholm Karolinska University Hospital Solna Sweden. Institute for Molecular Bioscience The University of Queensland Brisbane QLD 4072 Australia. Department of Epidemiology Research Statens Serum Institut Copenhagen Denmark. Université de Lorraine IGE-PCV F-54000 Nancy France. Genetic Epidemiology Unit Department of Epidemiology Erasmus Medical Center Rotterdam the Netherlands. CAR

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Allogeneic Hematopoietic Cell Transplantation (HCT) Vs. Non-HCT Consolidation Therapies in Acute Myeloid Leukemia (AML) Patients 60-75 Years of Age in First Complete Remission (CR1): An Alliance (A151509), SWOG, ECOG-ACRIN and CIBMTR Study

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Blood 2018年 132卷 2170-2170页

作者： Celalettin Ustun Jennifer Le-Rademacher Hai-Lin Wang Megan Othus Zhuoxin Sun Brittny Major Mei-Jie Zhang Elizabeth Storrick Jacqueline M Lafky Selina Chow Krzysztof Mrózek Eyal C. Attar Clara D. Bloomfield Larry D Cripe Richard A. Larson Guido Marcucci Gail J. Roboz Geoffrey L. Uy Richard M. Stone Aminah Jatoi Andrew S Artz Blood and Marrow Transplant Program University of Minnesota Minneapolis MN Dept of Biomedical Statistics and Informatics Mayo Clinic Rochester MN CIBMTR (Center for International Blood and Marrow Transplant Research) Department of Medicine Medical College of Wisconsin Milwaukee WI Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle Harvard T.H. Chan School of Public Health Boston Department of Health Sciences Research Mayo Clinic Rochester Alliance Statistics and Data Center Mayo Clinic Rochester MN Mayo Clinic Rochester University of Chicago Comprehensive Cancer Center Chicago The Ohio State University Comprehensive Cancer Center Columbus OH Massachusetts General Hospital Boston Agios Pharmaceuticals Inc. Cambridge MA Comprehensive Cancer Center The Ohio State University Columbus OH Indiana University Simon Cancer Center Indianapolis Department of Medicine and Comprehensive Cancer Center University of Chicago Chicago IL Department of Hematological Malignancies Translational Science Gehr Family Center for Leukemia Research Hematologic Malignancies and Stem Cell Transplantation Institute Beckman Research Institute City of Hope Medical Center Duarte CA Weill Cornell Medicine and The Weill Medical College of Cornell University New York NY Washington University School of Medicine Saint Louis MO Dana-Farber Cancer Institute Boston MA Department of Medicine Section of Hematology/Oncology University of Chicago Chicago IL

Introduction: The preferred post-remission therapy for older patients (pts) with AML remains uncertain. We compared outcomes for older AML pts in CR1 receiving HCT reported to the CIBMTR to older AML pts achieving CR1 on National Clinical Trials Network induction and non-HCT consolidation therapy (CT) trials. Methods: This study focused on pts 60-75 years of age treated between 2004 to 2013. CT pts (n=211) underwent induction and consolidation on Alliance for Clinical Trials in Oncology, ECOG-ACRIN or SWOG clinical trials for initial therapy for newly diagnosed AML; the CIBMTR provided data for HCT pts (n=431). CT patients received at least one cycle of CT on study and were excluded if HCT occurred at any time. Time to event started at CR1 and pts entered at CT or HCT, respectively, using left-truncation to account for differential entry times. Results: For the CT cohort, first consolidation included standard therapy (e.g., cytarabine or a hypomethylating agent) and additional study drug (e.g., bortezomib, dasatinib, sorafenib, and Zosuquidar, gemtuzumab) or tipifarnib alone. Among HCT pts, the donor was a HLA-matched sibling or unrelated donor (URD) in 66% and the others were partially HLA-matched/mismatched URD (10%) or cord blood (24%). HCT pts were younger and more frequently had high-risk AML (high WBC, secondary AML and unfavorable cytogenetics) (Table). The median time from CR1 to HCT and CT was 3.2 and 0.5 months, respectively. Allogeneic HCT showed worse overall survival (OS) (HR=1.52, p=0.02) prior to 9 months and better OS thereafter (HR= 0.53, p <0.0001) relative to CT (figure 1A). Treatment-related mortality (TRM) was worse after HCT in the first 9 months (HR=2.8, CI: 1.5 -5.2, p =.0009), while relapse was less frequent beyond 9 months after treatment (HR = 0.42, CI: 0.29 to 0.61, p <.0001). Despite higher early TRM, HCT recipients went on to manifest superior OS [5 year OS: HCT 29% (24-34%), CT 13.8% (9 -22%)] (Figure 1A). The benefit of HCT for surviv

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Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

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Nature communications 2021年第1期12卷 2986页

作者： Juliette Coignard Michael Lush Jonathan Beesley Tracy A O'Mara Joe Dennis Jonathan P Tyrer Daniel R Barnes Lesley McGuffog Goska Leslie Manjeet K Bolla Muriel A Adank Simona Agata Thomas Ahearn Kristiina Aittomäki Irene L Andrulis Hoda Anton-Culver Volker Arndt Norbert Arnold Kristan J Aronson Banu K Arun Annelie Augustinsson Jacopo Azzollini Daniel Barrowdale Caroline Baynes Heko Becher Marina Bermisheva Leslie Bernstein Katarzyna Białkowska Carl Blomqvist Stig E Bojesen Bernardo Bonanni Ake Borg Hiltrud Brauch Hermann Brenner Barbara Burwinkel Saundra S Buys Trinidad Caldés Maria A Caligo Daniele Campa Brian D Carter Jose E Castelao Jenny Chang-Claude Stephen J Chanock Wendy K Chung Kathleen B M Claes Christine L Clarke J Margriet Collée Don M Conroy Kamila Czene Mary B Daly Peter Devilee Orland Diez Yuan Chun Ding Susan M Domchek Thilo Dörk Isabel Dos-Santos-Silva Alison M Dunning Miriam Dwek Diana M Eccles A Heather Eliassen Christoph Engel Mikael Eriksson D Gareth Evans Peter A Fasching Henrik Flyger Florentia Fostira Eitan Friedman Lin Fritschi Debra Frost Manuela Gago-Dominguez Susan M Gapstur Judy Garber Vanesa Garcia-Barberan Montserrat García-Closas José A García-Sáenz Mia M Gaudet Simon A Gayther Andrea Gehrig Vassilios Georgoulias Graham G Giles Andrew K Godwin Mark S Goldberg David E Goldgar Anna González-Neira Mark H Greene Pascal Guénel Lothar Haeberle Eric Hahnen Christopher A Haiman Niclas Håkansson Per Hall Ute Hamann Patricia A Harrington Steven N Hart Wei He Frans B L Hogervorst Antoinette Hollestelle John L Hopper Darling J Horcasitas Peter J Hulick David J Hunter Evgeny N Imyanitov Agnes Jager Anna Jakubowska Paul A James Uffe Birk Jensen Esther M John Michael E Jones Rudolf Kaaks Pooja Middha Kapoor Beth Y Karlan Renske Keeman Elza Khusnutdinova Johanna I Kiiski Yon-Dschun Ko Veli-Matti Kosma Peter Kraft Allison W Kurian Yael Laitman Diether Lambrechts Loic Le Marchand Jenny Lester Fabienne Lesueur Tricia Lindstrom Adria Lopez-Fernández Jennifer T Loud Craig Luccarini Arto Mannermaa Siranou Genetic Epidemiology of Cancer team Inserm U900 Paris France. Institut Curie Paris Paris France. Mines ParisTech Fontainebleau Paris France. Centre for Cancer Genetic Epidemiology Department of Public Health and Primary Care University of Cambridge Cambridge UK. PSL University Paris Paris France. Paris Sud University Orsay France. Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute Brisbane QLD Australia. Centre for Cancer Genetic Epidemiology Department of Oncology University of Cambridge Cambridge UK. Family Cancer Clinic The Netherlands Cancer Institute Antoni van Leeuwenhoek hospital Amsterdam The Netherlands. Immunology and Molecular Oncology Unit Veneto Institute of Oncology IOV - IRCCS Padua Italy. Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Department of Health and Human Services Bethesda MD USA. Department of Clinical Genetics Helsinki University Hospital University of Helsinki Helsinki Finland. Fred A. Litwin Center for Cancer Genetics Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital Toronto ON Canada. Department of Molecular Genetics University of Toronto Toronto ON Canada. Department of Epidemiology Genetic Epidemiology Research Institute University of California Irvine Irvine CA USA. Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Gynaecology and Obstetrics University Hospital of Schleswig-Holstein Campus Kiel Christian-Albrechts University Kiel Kiel Germany. Institute of Clinical Molecular Biology University Hospital of Schleswig-Holstein Campus Kiel Christian-Albrechts University Kiel Kiel Germany. Department of Public Health Sciences and Cancer Research Institute Queen's University Kingston ON Canada. Department of Breast Medical Oncology University of Texas MD Anderson Cancer Center Houston TX USA. Department of Cancer Epidemiology Clinical Sciences

A Correction to this paper has been published: https://***/10.1038/s41467-021-23162-4.

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Colour variations in the GRB 120327A afterglow

arXiv

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arXiv 2017年

作者： Melandri, A. Covino, S. Zaninoni, E. Campana, S. Bolmer, J. Cobb, B.E. Gorosabel, J. Kim, J.-W. Kuin, P. Kuroda, D. Malesani, D. Mundell, C.G. Nappo, F. Sbarufatti, B. Smith, R.J. Steele, I.A. Topinka, M. Trotter, A.S. Virgili, F.J. Bernardini, M.G. D'Avanzo, P. D'Elia, V. Fugazza, D. Ghirlanda, G. Gomboc, A. Greiner, J. Guidorzi, C. Haislip, J.B. Hanayama, H. Hanlon, L. Im, M. Ivarsen, K.M. Japelj, J. Jelínek, M. Kawai, N. Kobayashi, S. Kopac, D. LaCluyzé, A.P. Martin-Carrillo, A. Murphy, D. Reichart, D.E. Salvaterra, R. Salafia, O.S. Tagliaferri, G. Vergani, S.D. I-23807 Italy ICRANet-Rio Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150 Rio de Janeiro RJ22290-180 Brazil Max-Planck-Institut für extraterrestrische Physik Giessenbachstrasse 1 GarchingD-85748 Germany Department of Physics The George Washington University WashingtonDC20052 United States Glorieta de la Astronomía s/n Granada18008 Spain CEOU / Astronomy Program Dept. of Physics & Astronomy Seoul National University Seoul Korea Republic of Mullard Space Science Laboratory University College London Holmbury St Mary Dorking SurreyRH5 6NT United Kingdom Okayama Astrophysical Observatory National Astronomical Observatory of Japan Asakuchi Okayama719-0232 Japan Dark Cosmology Centre Niels Bohr Institute University of Copenhagen Juliane Maries Vej 30 Copenhagen2100 Denmark Astrophysics Research Institute Liverpool JMU IC2 Liverpool Science Park 146 Brownlow Hill LiverpoolL3 5RF United Kingdom Department of Physics University of Bath Claverton Down BathBA2 7AY United Kingdom Department of Astronomy and Astrophysics Pennsylvania State University University ParkPA16802 United States Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Skynet Robotic Telescope Network Dep. of Physics and Astronomy Univ. of North Carolina Chapel HillNC27599-3255 United States Department of Physics North Carolina A&T State University GreensboroNC27411 United States Laboratoire Univers et Particules de Montpellier Université Montpellier Place Eugéne Bataillon MontpellierF-34095 France I-00078 Italy ASI Science Data Centre Via del Politecnico snc RomaI-00133 Italy Centre for Astrophysics and Cosmology University of Nova Gorica Vipavska 11c Ajdovščina5270 Slovenia Dipartimento di Fisica Universitá di Ferrara via Saragat 1 FerraraI-44100 Italy Ishigakijima Astronomical Observatory NAO of Japan 1024-1 Arakawa Ishigaki Okinawa907-0024 Japan University College Dublin School of Physics UCD Belfield Dublin 4

Aims. We present a comprehensive temporal and spectral analysis of the long Swift GRB 120327A afterglow data to investigate the possible causes of the observed early time colour variations. Methods. We collected data from various instruments/telescopes in different bands (X-rays, ultra-violet, optical and near-infrared) and determined the shapes of the afterglow early-time light curves. We studied the overall temporal behaviour and the spectral energy distributions from early to late times. Results. The ultra-violet, optical, and near-infrared light curves can be modelled with a single power-law component between 200 and 2 × 104 s after the burst event. The X-ray light curve shows a canonical steep-shallow-steep behaviour, typical of long gamma-ray bursts. At early times a colour variation is observed in the ultra-violet/optical bands, while at very late times a hint of a re-brightening is visible. The observed early time colour change can be explained as a variation in the intrinsic optical spectral index, rather than an evolution of the optical extinction. Copyright © 2017, The Authors. All rights reserved.

关键词： Stars

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Unresolved gamma-ray sky through its angular power spectrum

arXiv

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arXiv 2018年

作者： Ackermann, M. Ajello, M. Baldini, L. Ballet, J. Barbiellini, G. Bastieri, D. Bellazzini, R. Bissaldi, E. Blandford, R.D. Bonino, R. Bottacini, E. Bregeon, J. Bruel, P. Buehler, R. Burns, E. Buson, S. Cameron, R.A. Caputo, R. Caraveo, P.A. Cavazzuti, E. Chen, S. Chiaro, G. Ciprini, S. Costantin, D. Cuoco, A. Cutini, S. D’Ammando, F. de la Torre Luque, P. de Palma, F. Desai, A. Digel, S.W. Di Lalla, N. Di Mauro, M. Di Venere, L. Fana Dirirsa, F. Favuzzi, C. Franckowiak, A. Fukazawa, Y. Funk, S. Fusco, P. Gargano, F. Gasparrini, D. Giglietto, N. Giordano, F. Giroletti, M. Green, D. Grenier, I.A. Guillemot, L. Guiriec, S. Horan, D. Jóhannesson, G. Kuss, M. Larsson, S. Latronico, L. Li, J. Liodakis, I. Longo, F. Loparco, F. Lubrano, P. Magill, J.D. Maldera, S. Malyshev, D. Manfreda, A. Mazziotta, M.N. Mereu, I. Michelson, P.F. Mitthumsiri, W. Mizuno, T. Monzani, M.E. Morselli, A. Moskalenko, I.V. Negro, M. Nuss, E. Orienti, M. Orlando, E. Palatiello, M. Paliya, V.S. Paneque, D. Persic, M. Pesce-Rollins, M. Petrosian, V. Piron, F. Porter, T.A. Principe, G. Rainò, S. Rando, R. Razzano, M. Razzaque, S. Reimer, A. Reimer, O. Serini, D. Sgrò, C. Siskind, E.J. Spandre, G. Spinelli, P. Suson, D.J. Tajima, H. Takahashi, M. Thayer, J.B. Tibaldo, L. Torres, D.F. Troja, E. Venters, T.M. Vianello, G. Wood, K. Yassine, M. Zaharijas, G. Ammazzalorso, S. Fornengo, N. Regis, M. Deutsches Elektronen Synchrotron DESY ZeuthenD-15738 Germany Department of Physics and Astronomy Clemson University Kinard Lab of Physics ClemsonSC29634-0978 United States Università di Pisa Istituto Nazionale di Fisica Nucleare Sezione di Pisa PisaI-56127 Italy Laboratoire AIM CEA-IRFU CNRS Université Paris Diderot Service d’Astrophysique CEA Saclay Gif sur YvetteF-91191 France Istituto Nazionale di Fisica Nucleare Sezione di Trieste TriesteI-34127 Italy Dipartimento di Fisica Università di Trieste TriesteI-34127 Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova PadovaI-35131 Italy Dipartimento di Fisica e Astronomia "G. Galilei" Università di Padova PadovaI-35131 Italy Istituto Nazionale di Fisica Nucleare Sezione di Pisa PisaI-56127 Italy Dipartimento di Fisica "M. Merlin" dell’Università e del Politecnico di Bari BariI-70126 Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari BariI-70126 Italy W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics SLAC National Accelerator Laboratory Stanford University StanfordCA94305 United States Istituto Nazionale di Fisica Nucleare Sezione di Torino TorinoI-10125 Italy Dipartimento di Fisica Università degli Studi di Torino TorinoI-10125 Italy Department of Physics and Astronomy University of Padova Vicolo Osservatorio 3 PadovaI-35122 Italy Laboratoire Univers et Particules de Montpellier Université Montpellier CNRS/IN2P3 MontpellierF-34095 France Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 PalaiseauF-91128 France NASA Goddard Space Flight Center GreenbeltMD20771 United States NASA Postdoctoral Program Fellow United States NASA Goddard Space Flight Center GreenbeltMD20771 United States INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica Milano via E. Bassini 15 MilanoI-20133 Italy Italian Space Agency Via del Politecnico snc Roma00133 Italy Space Science Data Center -

The gamma-ray sky has been observed with unprecedented accuracy in the last decade by the Fermi large area telescope (LAT), allowing us to resolve and understand the high-energy Universe. The nature of the remaining unresolved emission (unresolved gamma-ray background, UGRB) below the LAT source detection threshold can be uncovered by characterizing the amplitude and angular scale of the UGRB fluctuation field. This work presents a measurement of the UGRB autocorrelation angular power spectrum based on eight years of Fermi LAT Pass 8 data products. The analysis is designed to be robust against contamination from resolved sources and noise systematics. The sensitivity to subthreshold sources is greatly enhanced with respect to previous measurements. We find evidence (with ∼ 3.7σ significance) that the scenario in which two classes of sources contribute to the UGRB signal is favored over a single class. A double power law with exponential cutoff can explain the anisotropy energy spectrum well, with photon indices of the two populations being 2.55 ± 0.23 and 1.86 ± 0.15. Copyright © 2018, The Authors. All rights reserved.

关键词： Gamma rays

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Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

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Nature genetics 2018年第12期50卷 1754页

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

In the version of the article published, the author list is not accurate. Igor Cima and Min-Han Tan should have been authors, appearing after Mark Wong in the author list, while Paul Jongjoon Choi should not have been listed as an author. Igor Cima and Min-Han Tan both have the affiliation Institute of Bioengineering and Nanotechnology, Singapore, Singapore, and their contributions should have been noted in the Author Contributions section as "I.C. preprocessed Primary Cell Atlas data with inputs from M.-H.T." The following description of the contribution of Paul Jongjoon Choi should not have appeared: "P.J.C. supported the smFISH experiments." In the 'RCA: global panel' section of the Online Methods, the following sentence should have appeared as the second sentence, "An expression atlas of human primary cells (the Primary Cell Atlas) was preprocessed similarly to in ref. 55," with new reference 55 (Cima, I. et al. Tumor-derived circulating endothelial cell clusters in colorectal cancer. science Transl. Med. 8, 345ra89, 2016).

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LODE: Linking digital humanities content to the web of data 14

LODE: Linking digital humanities content to the web of data

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IEEE/ACM Joint Conference on Digital Libraries(JCDL)

作者： Timo Sztyler Jakob Huber Jan Noessner Jaimie Murdock Colin Allen Mathias Niepert Data and Web Science Group University of Mannheim School of Informatics and Computing & Program in Cognitive Science Indiana University Department of History and Philosophy of Science & Program in Cognitive Science Indiana University

ISBN: (纸本)9781479955695

Numerous digital libraries projects maintain their data collections in the form of text, images, and metadata. While data may be stored in many formats, from plain text to XML to relational databases, the use of the resource description framework (RDF) as a standardized representation has gained considerable traction during the last five years. Almost every digital humanities meeting has at least one session concerned with the topic of digital humanities, RDF, and linked data, including JCDL. While most existing work in linked data has focused on improving algorithms for entity matching, the aim of our Linked Open data Enhancer Lode is to work “out of the box”, enabling their use by humanities scholars, computer scientists, librarians, and information scientists alike. With Lode we enable non-technical users to enrich a local RDF repository with high-quality data from the Linked Open data cloud. Lode links and enhances the local RDF repository without reducing the quality of the data. In particular, we support the user in the enhancement and linking process by providing intuitive user-interfaces and by suggesting high quality linking candidates using state of the art matching algorithms. We hope that the Lode framework will be useful to digital humanities scholars complementing other digital humanities tools.

关键词： Resource description framework Joining processes Educational institutions Cognitive science Browsers Standards Search engines

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