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arXiv 2021年

作者： Kostov, Veselin B. Powell, Brian P. Orosz, Jerome A. Welsh, William F. Cochran, William Collins, Karen A. Endl, Michael Hellier, Coel Latham, David W. MacQueen, Phillip Pepper, Joshua Quarles, Billy Sairam, Lalitha Torres, Guillermo Wilson, Robert F. Bergeron, Serge Boyce, Pat Bieryla, Allyson Buchheim, Robert Christiansen, Caleb Ben Ciardi, David R. Collins, Kevin I. Conti, Dennis M. Dixon, Scott Guerra, Pere Haghighipour, Nader Herman, Jeffrey Hintz, Eric G. Howard, Ward S. Jensen, Eric L.N. Kielkopf, John F. Kruse, Ethan Law, Nicholas M. Martin, David Maxted, Pierre F.L. Montet, Benjamin T. Murgas, Felipe Nelson, Matt Olmschenk, Greg Otero, Sebastian Quimby, Robert Richmond, Michael Schwarz, Richard P. Shporer, Avi Stassun, Keivan G. Stephens, Denise C. Triaud, Amaury H.M.J. Ulowetz, Joe Walter, Bradley S. Wiley, Edward Wood, David Yenawine, Mitchell Agol, Eric Barclay, Thomas Beatty, Thomas G. Boisse, Isabelle Caldwell, Douglas A. Christiansen, Jessie Colón, Knicole D. Deleuil, Magali Doyle, Laurance Fausnaugh, Michael Furész, Gábor Gilbert, Emily A. Hébrard, Guillaume James, David J. Jenkins, Jon Kane, Stephen R. Kidwell, Richard C. Kopparapu, Ravi Li, Gongjie Lissauer, Jack J. Lund, Michael B. Majewski, Steve R. Mazeh, Tsevi Quinn, Samuel N. Quintana, Elisa Ricker, George Rodriguez, Joseph E. Rowe, Jason Santerne, Alexander Schlieder, Joshua Seager, Sara Standing, Matthew R. Stevens, Daniel J. Ting, Eric B. Vanderspek, Roland Winn, Joshua N. NASA Goddard Space Flight Center 8800 Greenbelt Road GreenbeltMD20771 United States SETI Institute 189 Bernardo Ave Suite 200 Mountain ViewCA94043 United States GSFC Sellers Exoplanet Environments Collaboration Department of Astronomy San Diego State University 5500 Campanile Drive San DiegoCA92182 United States Center for Planetary Systems Habitability McDonald Observatory The University of Texas AustinTX78712 United States McDonald Observatory The University of Texas at Austin AustinTX78712-0259 United States Center for Astrophysics | Harvard & Smithsonian 60 Garden St CambridgeMA02138 United States Astrophysics Group Keele University StaffordshireST5 5BG United Kingdom Department of Physics Lehigh University 413 Deming Lewis Lab 16 Memorial Drive East BethlehemPA18015 United States Center for Relativistic Astrophysics School of Physics Georgia Institute of Technology 770 State St NW AtlantaGA30313 United States Department of Physics Astronomy Geosciences and Engineering Technology Valdosta State University GA31698 United States School of Physics & Astronomy University of Birmingham Edgbaston BirminghamB15 2TT United Kingdom Department of Astronomy University of Virginia 530 McCormick Road CharlottesvilleVA22904 United States UCLAN CasselmanON Canada Boyce Research Initiatives and Education Foundation 3540 Carleton Street San DiegoCA92106 United States Lost Gold Observatory Society for Astronomical Sciences Gold CanyonAZ85118 United States NASA Exoplanet Science Institute Caltech IPAC 1200 E California Ave MS100-22 PasadenaCA91125 United States George Mason University 4400 University Drive FairfaxVA22030 United States American Association of Variable Star Observers 49 Bay State Road CambridgeMA02138 United States San Diego Astronomy Association P.O. Box 23215 San DiegoCA92193-3215 United States Observatori Astronòmic Albanyà Camí de Bassegoda S/N Albanyà Girona17733 Spain Planetary Science Institute 17

We report the first discovery of a transiting circumbinary planet detected from a single sector of TESS data. During Sector 21, the planet TIC 172900988b transited the primary star and then 5 days later it transited the secondary star. The binary is itself eclipsing, with a period of P ≈ 19.7 days and an eccentricity of e ≈ 0.45. Archival data from ASAS-SN, Evryscope, KELT, and SuperWASP reveal a prominent apsidal motion of the binary orbit, caused by the dynamical interactions between the binary and the planet. A comprehensive photodynamical analysis of the TESS, archival and follow-up data yields stellar masses and radii of M1 = 1.2384 ± 0.0007 M☉ and R1 = 1.3827 ± 0.0016 R☉ for the primary and M2 = 1.2019 ± 0.0007 M☉ and R2 = 1.3124 ± 0.0012 R☉ for the secondary. The radius of the planet is R3 = 11.25 ± 0.44 R⊕ (1.004 ± 0.039RJup). The planet's mass and orbital properties are not uniquely determined-there are six solutions with nearly equal likelihood. Specifically, we find that the planet's mass is in the range of 824 M3 981 M⊕ (2.65 M3 3.09MJup), its orbital period could be 188.8, 190.4, 194.0, 199.0, 200.4, or 204.1 days, and the eccentricity is between 0.02 and 0.09. At a V=10.141 mag, the system is accessible for high-resolution spectroscopic observations, e.g. Rossiter-McLaughlin effect and transit spectroscopy. Copyright © 2021, The Authors. All rights reserved.

关键词： Stars

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Combining noise-to-image and image-to-image GANs: Brain MR image augmentation for tumor detection

arXiv

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arXiv 2019年

作者： Han, Changhee Rundo, Leonardo Araki, Ryosuke Nagano, Yudai Furukawa, Yujiro Mauri, Giancarlo Nakayama, Hideki Hayashi, Hideaki Machine Perception Group Graduate School of Information Science and Technology University of Tokyo Tokyo113-8657 Japan Research Center for Medical Big Data National Institute of Informatics Tokyo100-0003 Japan Department of Radiology University of Cambridge CambridgeCB2 0QQ United Kingdom Cancer Research UK Cambridge Centre CambridgeCB2 0RE United Kingdom Department of Informatics Systems and Communication University of Milano-Bicocca Milan20126 Italy Machine Perception and Robotics Group Graduate School of Engineering Chubu University Aichi487-8501 Japan Department of Psychiatry Jikei University School of Medicine Tokyo105-8461 Japan Human Interface Laboratory Department of Advanced Information Technology Kyushu University Fukuoka819-0395 Japan

Convolutional Neural Networks (CNNs) can achieve excellent computer-assisted diagnosis performance, relying on sufficient annotated training data. Unfortunately, most medical imaging datasets, often collected from various scanners, are small and fragmented. In this context, as a data Augmentation (DA) technique, Generative Adversarial Networks (GANs) can synthesize realistic/diverse additional training images to fill the data lack in the real image distribution;researchers have improved classification by augmenting images with noise-to-image (e.g., random noise samples to diverse pathological images) or image-to-image GANs (e.g., a benign image to a malignant one). Yet, no research has reported results combining (i) noise-to-image GANs and image-to-image GANs or (ii) GANs and other deep generative models, for further performance boost. Therefore, to maximize the DA effect with the GAN combinations, we propose a two-step GAN-based DA that generates and refines brain MR images with/without tumors separately: (i) Progressive Growing of GANs (PGGANs), multi-stage noise-to-image GAN for highresolution image generation, first generates realistic/diverse 256 256 images-even a physician cannot accurately distinguish them from real ones via Visual Turing Test;(ii) UNsupervised Image-to-image Translation or SimGAN, image-to-image GAN combining GANs/Variational AutoEncoders or using a GAN loss for DA, further refines the texture/shape of the PGGAN-generated images similarly to the real *** thoroughly investigate CNN-based tumor classification results, also considering the influence of pre-training on ImageNet and discarding weird-looking GAN-generated images. The results show that, when combined with classic DA, our two-step GAN-based DA can significantly outperform the classic DA alone, in tumor detection (i.e., boosting sensitivity from 93:63% to 97:53%) and also in other medical imaging tasks. Copyright © 2019, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990–2019, for 204 countries and territories: the Global Burden of Diseases Study 2019

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The Lancet HIV 2021年第10期8卷 e633-e651页

作者： Jahagirdar, Deepa Walters, Magdalene K. Novotney, Amanda Brewer, Edmond D. Frank, Tahvi D. Carter, Austin Biehl, Molly H. Abbastabar, Hedayat Abhilash, E.S. Abu-Gharbieh, Eman Abu-Raddad, Laith Jamal Adekanmbi, Victor Adeyinka, Daniel Adedayo Adnani, Qorinah Estiningtyas Sakilah Afzal, Saira Aghababaei, Soodabeh Ahinkorah, Bright Opoku Ahmad, Sajjad Ahmadi, Keivan Ahmadi, Sepideh Ahmadpour, Ehsan Ahmed, Muktar Beshir Rashid, Tarik Ahmed Salih, Yusra Ahmed Aklilu, Addis Akram, Tayyaba Akunna, Chisom Joyqueenet Al Hamad, Hanadi Alahdab, Fares Alanezi, Fahad Mashhour Aleksandrova, Ekaterina A. Alene, Kefyalew Addis Ali, Liaqat Alipour, Vahid Almustanyir, Sami Alvis-Guzman, Nelson Ameyaw, Edward Kwabena Amu, Hubert Andrei, Catalina Liliana Andrei, Tudorel Anvari, Davood Arabloo, Jalal Aremu, Olatunde Arulappan, Judie Atnafu, Desta Debalkie Quintanilla, Beatriz Paulina Ayala Ayza, Muluken Altaye Azari, Samad Darshan, B.B. Banach, Maciej Bärnighausen, Till Winfried Barra, Fabio Barrow, Amadou Basu, Sanjay Bazargan-Hejazi, Shahrzad Belay, Habtamu Gebrehana Berheto, Tezera Moshago Bezabhe, Woldesellassie Mequanint Bezabih, Yihienew Mequanint Bhagavathula, Akshaya Srikanth Bhardwaj, Nikha Bhardwaj, Pankaj Bhattacharyya, Krittika Bibi, Sadia Bijani, Ali Bisignano, Catherine Bolarinwa, Obasanjo Afolabi Boloor, Archith Boltaev, Azizbek A. Briko, Nikolay Ivanovich Buonsenso, Danilo Burkart, Katrin Butt, Zahid A. Cao, Chao Charan, Jaykaran Chatterjee, Souranshu Chattu, Soosanna Kumary Chattu, Vijay Kumar Choudhari, Sonali Gajanan Chu, Dinh-Toi Couto, Rosa A.S. Cowden, Richard G. Dachew, Berihun Assefa Dadras, Omid Dagnew, Amare Belachew Dahlawi, Saad M.A. Dai, Xiaochen Dandona, Lalit Dandona, Rakhi das Neves, José Degenhardt, Louisa Demeke, Feleke Mekonnen Desta, Abebaw Alemayehu Deuba, Keshab Dhamnetiya, Deepak Dhungana, Govinda Prasad Dianatinasab, Mostafa Diaz, Daniel Djalalinia, Shirin Doan, Linh Phuong Dorostkar, Fariba Edinur, Hisham Atan Effiong, Andem Eftekharzadeh, Sahar El Sayed Zaki, Maysaa Elayedath, Rajesh Elhadi, Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Division of Allergy and Infectious Diseases University of Washington Seattle WA United States Department of Global Health University of Washington Seattle WA United States School of Social Work University of Washington Seattle WA United States Department of Medicine University of Washington Seattle WA United States Vagelos College of Physicians and Surgeones Columbia University Medical Center New York NY United States Division of Data Analytics and Delivery for Impact WHO Geneva Switzerland Advanced Diagnostic and Interventional Radiology Research Centre Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Centre Tehran University of Medical Sciences Tehran Iran School of Public Health Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Paediatric Chronic Kidney Disease Research Centre Tehran University of Medical Sciences Tehran Iran Department of Psychiatry Tehran University of Medical Sciences Tehran Iran Metabolomics and Genomics Research Centre Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Centre Tehran University of Medical Sciences Tehran Iran Research Centre for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Non-Communicable Diseases Research Centre Tehran University of Medical Sciences Tehran Iran Department of Botany Sree Narayana Guru College Chelannur Kozhikode India Clinical Sciences Department University of Sharjah Sharjah United Arab Emirates Mass Communication Department University of Sharjah Sharjah United Arab Emirates Department of Health-Care Policy and Research Weill Cornell Medical College in Qatar Doha Qatar Department of Population Medicine Ca

Background: The sustainable development goals (SDGs) aim to end HIV/AIDS as a public health threat by 2030. Understanding the current state of the HIV epidemic and its change over time is essential to this effort. This study assesses the current sex-specific HIV burden in 204 countries and territories and measures progress in the control of the epidemic. Methods: To estimate age-specific and sex-specific trends in 48 of 204 countries, we extended the Estimation and Projection Package Age-Sex Model to also implement the spectrum paediatric model. We used this model in cases where age and sex specific HIV-seroprevalence surveys and antenatal care-clinic sentinel surveillance data were available. For the remaining 156 of 204 locations, we developed a cohort-incidence bias adjustment to derive incidence as a function of cause-of-death data from vital registration systems. The incidence was input to a custom Spectrum model. To assess progress, we measured the percentage change in incident cases and deaths between 2010 and 2019 (threshold >75% decline), the ratio of incident cases to number of people living with HIV (incidence-to-prevalence ratio threshold <0·03), and the ratio of incident cases to deaths (incidence-to-mortality ratio threshold <1·0). Findings: In 2019, there were 36·8 million (95% uncertainty interval [UI] 35·1–38·9) people living with HIV worldwide. There were 0·84 males (95% UI 0·78–0·91) per female living with HIV in 2019, 0·99 male infections (0·91–1·10) for every female infection, and 1·02 male deaths (0·95–1·10) per female death. Global progress in incident cases and deaths between 2010 and 2019 was driven by sub-Saharan Africa (with a 28·52% decrease in incident cases, 95% UI 19·58–35·43, and a 39·66% decrease in deaths, 36·49–42·36). Elsewhere, the incidence remained stable or increased, whereas deaths generally decreased. In 2019, the global incidence-to-prevalence ratio was 0·05 (95% UI 0·05–0·06) and the global incidence-to-mortality ratio was

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Dynamics of reverse annealing for the fully-connected p-spin model

arXiv

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arXiv 2019年

作者： Yamashiro, Yu Ohkuwa, Masaki Nishimori, Hidetoshi Lidar, Daniel A. Department of Physics Tokyo Institute of Technology Nagatsuta-cho Midori-ku Yokohama226-8503 Japan Jij Inc. High tech Hongo Building 1F 5-25-18 Hongo Bunkyo Tokyo113-0033 Japan NTT DATA Mathematical Systems Inc. Shinanomachi Shinjuku-ku Tokyo160-0016 Japan Institute of Innovative Research Tokyo Institute of Technology Nagatsuta-cho Midori-ku Yokohama226-8503 Japan Graduate School of Information Sciences Tohoku University Sendai980-8579 Japan Departments of Electrical Engineering Chemistry and Physics & Astronomy University of Southern California Los AngelesCA90089 United States Center for Quantum Information Science & Technology University of Southern California Los AngelesCA90089 United States

Reverse annealing is a relatively new variant of quantum annealing, in which one starts from a classical state and increases and then decreases the amplitude of the transverse field, in the hope of finding a better classical state than the initial state for a given optimization problem. We numerically study the unitary quantum dynamics of reverse annealing for the mean-field-type p-spin model and show that the results are consistent with the predictions of equilibrium statistical mechanics. In particular, we corroborate the equilibrium analysis prediction that reverse annealing provides an exponential speedup over conventional quantum annealing in terms of solving the p-spin model. This lends support to the expectation that equilibrium analyses are effective at revealing essential aspects of the dynamics of quantum annealing. We also compare the results of quantum dynamics with the corresponding classical dynamics, to reveal their similarities and differences. We distinguish between two reverse annealing protocols we call adiabatic and iterated reverse annealing. We further show that iterated reverse annealing, as has been realized in the D-Wave device, is ineffective in the case of the p-spin model, but note that a recently-introduced protocol ("h-gain"), which implements adiabatic reverse annealing, may lead to improved performance. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum theory

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Inside Cover: A novel in vivo Cerenkov luminescence image-guided surgery on primary and metastatic colorectal cancer (J. Biophotonics 3/2020)

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Journal of Biophotonics 2020年第3期13卷

作者： Zeyu Zhang Yawei Qu Yu Cao Xiaojing Shi Hongbo Guo Xiaojun Zhang Sheng Zheng Haifeng Liu Zhenhua Hu Jie Tian Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education School of Life Science and Technology Xidian University Xi'an China CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Gastroenterology the Third Medical Centre Chinese PLA General Hospital Beijing China Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Anorectal the Third medical Centre Chinese PLA General Hospital Beijing China University of Chinese Academy of Sciences Beijing China School of Information Sciences and Technology Northwest University Xi'an China Department of Nuclear Medicine Chinese PLA General Hospital Beijing China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine Beihang University Beijing China

This study presents a novel intraoperative in vivo imaging approach which harnessed Cerenkov luminescence (CL) to detect primary and metastatic colorectal cancer (CRC) using clinically approved radiopharmaceuticals. In the mice and swine experiments, the proposed approach effectively improved the effect of CRC surgery. The approach is believed to be promising for utilizing CL in open surgery. Further details can be found in the article by Zeyu Zhang, Yawei Qu, Yu Cao et al. ( e201960152 )

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X-ray Polarization Observations of BL Lacertae

arXiv

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arXiv 2022年

作者： Middei, Riccardo Liodakis, Ioannis Perri, Matteo Puccetti, Simonetta Cavazzuti, Elisabetta Gesu, Laura Di Ehlert, Steven R. Madejski, Grzegorz Marscher, Alan P. Marshall, Herman L. Muleri, Fabio Negro, Michela Jorstad, Svetlana G. Agís-González, Beatriz Agudo, Iván Bonnoli, Giacomo Bernardos, Maria I. Casanova, Víctor García-Comas, Maya Husillos, César Marchini, Alessandro Sota, Alfredo Kouch, Pouya M. Lindfors, Elina Borman, George A. Kopatskaya, Evgenia N. Larionova, Elena G. Morozova, Daria A. Savchenko, Sergey S. Vasilyev, Andrey A. Zhovtan, Alexey V. Casadio, Carolina Escudero, Juan Myserlis, Ioannis Hales, Antonio Kameno, Seiji Kneissl, Ruediger Messias, Hugo Nagai, Hiroshi Blinov, Dmitry Bourbah, Ioakeim G. Kiehlmann, Sebastian Kontopodis, Evangelos Mandarakas, Nikos Romanopoulos, Stylianos Skalidis, Raphael Vervelaki, Anna Masiero, Joseph R. Mawet, Dimitri Millar-Blanchaer, Maxwell A. Panopoulou, Georgia V. Tinyanont, Samaporn Berdyugin, Andrei V. Kagitani, Masato Kravtsov, Vadim Sakanoi, Takeshi Imazawa, Ryo Sasada, Mahito Fukazawa, Yasushi Kawabata, Koji S. Uemura, Makoto Mizuno, Tsunefumi Nakaoka, Tatsuya Akitaya, Hiroshi Gurwell, Mark Rao, Ramprasad Lalla, Niccoló Di Cibrario, Nicoló Donnarumma, Immacolata Kim, Dawoon E. Omodei, Nicola Pacciani, Luigi Poutanen, Juri Tavecchio, Fabrizio Antonelli, Lucio A. Bachetti, Matteo Baldini, Luca Baumgartner, Wayne H. Bellazzini, Ronaldo Bianchi, Stefano Bongiorno, Stephen D. Bonino, Raffaella Brez, Alessandro Bucciantini, Niccoló Capitanio, Fiamma Castellano, Simone Ciprini, Stefano Costa, Enrico De Rosa, Alessandra Monte, Ettore Del Marco, Alessandro Di Doroshenko, Victor Dovčiak, Michal Enoto, Teruaki Evangelista, Yuri Fabiani, Sergio Ferrazzoli, Riccardo Garcia, Javier A. Gunji, Shuichi Hayashida, Kiyoshi Heyl, Jeremy Iwakiri, Wataru Karas, Vladimir Kitaguchi, Takao Kolodziejczak, Jeffery J. Krawczynski, Henric Monaca, Fabio La Latronico, Luca Maldera, Simone Manfreda, Alberto Marin, Frédéric Marinucci, Andrea Massaro, Francesco Matt, Giorgio Mitsuishi, Ikuy Space Science Data Center Agenzia Spaziale Italiana Via del Politecnico snc Roma00133 Italy Monte Porzio Catone00078 Italy Finnish Centre for Astronomy with ESO University of Turku FI-20014 Finland ASI - Agenzia Spaziale Italiana Via del Politecnico snc Roma00133 Italy NASA Marshall Space Flight Center HuntsvilleAL35812 United States Department of Physics Kavli Institute for Particle Astrophysics and Cosmology Stanford University StanfordCA94305 United States Institute for Astrophysical Research Boston University 725 Commonwealth Avenue BostonMA02215 United States MIT Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States INAF Istituto di Astrofisica e Planetologia Spaziali Via del Fosso del Cavaliere 100 Roma00133 Italy University of Maryland Baltimore County BaltimoreMD21250 United States Center for Research and Exploration in Space Science and Technology NASA Goddard Space Flight Center GreenbeltMD20771 United States Astronomical Institute St. Petersburg State University 28 Universitetsky prospekt Peterhof St. Petersburg198504 Russia Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain INAF Osservatorio Astronomico di Brera Via E. Bianchi 46 LC Merate23807 Italy Astronomical Observatory Department of Physical Sciences Earth and Environment University of Siena Via Roma 56 Siena53100 Italy Department of Physics and Astronomy University of Turku FI-20014 Finland Crimean Astrophysical Observatory RAS P/O Nauchny 298409 Special Astrophysical Observatory Russian Academy of Sciences Nizhnii Arkhyz369167 Russia Pulkovo Observatory St.Petersburg196140 Russia Institute of Astrophysics Foundation for Research and Technology-Hellas HeraklionGR-71110 Greece Department of Physics University of Crete HeraklionGR-70013 Greece Institut de Radioastronomie Millimétrique Avenida Divina Pastora 7 Local 20 Gr

Blazars are a class of jet-dominated active galactic nuclei with a typical double-humped spectral energy distribution. It is of common consensus the Synchrotron emission to be responsible for the low frequency peak, while the origin of the high frequency hump is still debated. The analysis of X-rays and their polarization can provide a valuable tool to understand the physical mechanisms responsible for the origin of high-energy emission of blazars. We report the first observations of BL Lacertae performed with the Imaging X-ray Polarimetry Explorer (IXPE), from which an upper limit to the polarization degree ΠX © 2022, CC BY.

关键词： Polarization

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Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

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Nature medicine 2024年第12期30卷 3779页

作者： Sebastian Moguilner Sandra Baez Hernan Hernandez Joaquín Migeot Agustina Legaz Raul Gonzalez-Gomez Francesca R Farina Pavel Prado Jhosmary Cuadros Enzo Tagliazucchi Florencia Altschuler Marcelo Adrián Maito María E Godoy Josephine Cruzat Pedro A Valdes-Sosa Francisco Lopera John Fredy Ochoa-Gómez Alfredis Gonzalez Hernandez Jasmin Bonilla-Santos Rodrigo A Gonzalez-Montealegre Renato Anghinah Luís E d'Almeida Manfrinati Sol Fittipaldi Vicente Medel Daniela Olivares Görsev G Yener Javier Escudero Claudio Babiloni Robert Whelan Bahar Güntekin Harun Yırıkoğulları Hernando Santamaria-Garcia Alberto Fernández Lucas David Huepe Gaetano Di Caterina Marcio Soto-Añari Agustina Birba Agustin Sainz-Ballesteros Carlos Coronel-Oliveros Amanuel Yigezu Eduar Herrera Daniel Abasolo Kerry Kilborn Nicolás Rubido Ruaridh A Clark Ruben Herzog Deniz Yerlikaya Kun Hu Mario A Parra Pablo Reyes Adolfo M García Diana L Matallana José Alberto Avila-Funes Andrea Slachevsky María I Behrens Nilton Custodio Juan F Cardona Pablo Barttfeld Ignacio L Brusco Martín A Bruno Ana L Sosa Ortiz Stefanie D Pina-Escudero Leonel T Takada Elisa Resende Katherine L Possin Maira Okada de Oliveira Alejandro Lopez-Valdes Brian Lawlor Ian H Robertson Kenneth S Kosik Claudia Duran-Aniotz Victor Valcour Jennifer S Yokoyama Bruce Miller Agustin Ibanez Latin American Brain Health Institute Universidad Adolfo Ibañez Santiago de Chile Chile. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston MA USA. Universidad de los Andes Bogota Colombia. Global Brain Health Institute (GBHI) University of California San Francisco CA USA. Global Brain Health Institute (GBHI) Trinity College Dublin Dublin Ireland. The University of California Santa Barbara (UCSB) Santa Barbara CA USA. Escuela de Fonoaudiología Universidad San Sebastián Santiago de Chile Chile. Grupo de Bioingeniería Decanato de Investigación Universidad Nacional Experimental del Táchira San Cristóbal Venezuela. Advanced Center for Electrical and Electronic Engineering Universidad Técnica Federico Santa María Valparaíso Chile. University of Buenos Aires Buenos Aires Argentina. The Clinical Hospital of Chengdu Brain Sciences Institute University of Electronic Sciences and Technology of China Chengdu China. Technology of China Chengdu China. Cuban Neuroscience Center La Habana Cuba. Grupo de Neurociencias de Antioquia (GNA) University of Antioquia Medellín Colombia. Department of Psychology Master Program of Clinical Neuropsychology Universidad Surcolombiana Neiva Neiva Colombia. Department of Psychology Universidad Cooperativa de Colombia Arauca Colombia. Neurocognition and Psychophysiology Laboratory Universidad Surcolombiana Neiva Colombia. Reference Center of Behavioural Disturbances and Dementia School of Medicine University of Sao Paulo Sao Paulo Brazil. Traumatic Brain Injury Cognitive Rehabilitation Out-Patient Center University of Sao Paulo Sao Paulo Brazil. Center for Social and Cognitive Neuroscience School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopathology Program-Institute of Biomedical Sciences (ICBM) Neuroscience and East Neuroscience Dep

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Sequence diversity analyses of an improved rhesus macaque genome enhance its biomedical utility

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science 2020年第6523期370卷 000-000页

作者： Warren, Wesley C. Harris, R. Alan Haukness, Marina Fiddes, Ian T. Murali, Shwetha C. Fernandes, Jason Dishuck, Philip C. Storer, Jessica M. Raveendran, Muthuswamy Hillier, LaDeana W. Porubsky, David Mao, Yafei Gordon, David Vollger, Mitchell R. Lewis, Alexandra P. Munson, Katherine M. DeVogelaere, Elizabeth Armstrong, Joel Diekhans, Mark Walker, Jerilyn A. Tomlinson, Chad Graves-Lindsay, Tina A. Kremitzki, Milinn Salama, Sofie R. Audano, Peter A. Escalona, Merly Maurer, Nicholas W. Antonacci, Francesca Mercuri, Ludovica Maggiolini, Flavia A. M. Catacchio, Claudia Rita Underwood, Jason G. O'Connor, David H. Sanders, Ashley D. Korbel, Jan O. Ferguson, Betsy Kubisch, H. Michael Picker, Louis Kalin, Ned H. Rosene, Douglas Levine, Jon Abbott, David H. Gray, Stanton B. Sanchez, Mar M. Kovacs-Balint, Zsofia A. Kemnitz, Joseph W. Thomasy, Sara M. Roberts, Jeffrey A. Kinnally, Erin L. Capitanio, John P. Skene, J. H. Pate Platt, Michael Cole, Shelley A. Green, Richard E. Ventura, Mario Wiseman, Roger W. Paten, Benedict Batzer, Mark A. Rogers, Jeffrey Eichler, Evan E. Department of Animal Sciences Bond Life Sciences Center University of Missouri Columbia MO 65211 USA. Department of Surgery School of Medicine University of Missouri Columbia MO 65211 USA. Institute of Data Science and Informatics University of Missouri Columbia MO 65211 USA. Human Genome Sequencing Center Department of Molecular and Human Genetics Baylor College of Medicine Houston TX 77030 USA. Computational Genomics Laboratory University of California-Santa Cruz Santa Cruz CA 95064 USA. Inscripta Inc. Boulder CO 80301 USA. Department of Genome Sciences University of Washington Seattle WA 98195 USA. Howard Hughes Medical Institute University of Washington Seattle WA 98195 USA. Department of Biomolecular Engineering University of California-Santa Cruz Santa Cruz CA 95064 USA. Department of Biological Sciences Louisiana State University Baton Rouge LA 70803 USA. Institue for Systems Biology Seattle WA 98109 USA. McDonnell Genome Institute Washington University St. Louis MO 63108 USA. Department of Biology University of Bari ’Aldo Moro’ 70125 Bari Italy. Pacific Biosciences of California Seattle WA 94025 USA. Department of Pathology and Laboratory Medicine Wisconsin National Primate Research Center University of Wisconsin-Madison Madison WI 53711 USA. European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany. Division of Genetics Oregon National Primate Research Center Oregon Health and Science University Beaverton OR 97006 USA. Tulane National Primate Research Center Covington LA 70433 USA. Oregon National Primate Research Center and Vaccine and Gene Therapy Institute Oregon Health Sciences University Beaverton OR 97006 USA. Department of Psychiatry University of Wisconsin School of Medicine and Public Health Madison WI 53719 USA. Department of Anatomy and Neurobiology Boston University School of Medicine Boston MA 02118 USA. Department of Neuroscience University of Wisconsin Madison WI 53175 USA. Wisconsin N

The rhesus macaque (Macaca mulatta) is the most widely studied nonhuman primate (NHP) in biomedical research. We present an updated reference genome assembly (Mmul_10, contig N50 = 46 Mbp) that increases the sequence contiguity 120-fold and annotate it using 6.5 million full-length transcripts, thus improving our understanding of gene content, isoform diversity, and repeat organization. With the improved assembly of segmental duplications, we discovered new lineage-specific genes and expanded gene families that are potentially informative in studies of evolution and disease susceptibility. Whole-genome sequencing (WGS) data from 853 rhesus macaques identified 85.7 million single-nucleotide variants (SNVs) and 10.5 million indel variants, including potentially damaging variants in genes associated with human autism and developmental delay, providing a framework for developing noninvasive NHP models of human disease.

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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Direct Measurement of the Cosmic-Ray Proton Spectrum from 50 GeV to 10 TeV with the Calorimetric Electron Telescope on the International Space Station

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Physical Review Letters 2019年第18期122卷 181102-181102页

作者： O. Adriani Y. Akaike K. Asano Y. Asaoka M. G. Bagliesi E. Berti G. Bigongiari W. R. Binns S. Bonechi M. Bongi P. Brogi A. Bruno J. H. Buckley N. Cannady G. Castellini C. Checchia M. L. Cherry G. Collazuol V. Di Felice K. Ebisawa H. Fuke T. G. Guzik T. Hams N. Hasebe K. Hibino M. Ichimura K. Ioka W. Ishizaki M. H. Israel K. Kasahara J. Kataoka R. Kataoka Y. Katayose C. Kato N. Kawanaka Y. Kawakubo K. Kohri H. S. Krawczynski J. F. Krizmanic T. Lomtadze P. Maestro P. S. Marrocchesi A. M. Messineo J. W. Mitchell S. Miyake A. A. Moiseev K. Mori M. Mori N. Mori H. M. Motz K. Munakata H. Murakami S. Nakahira J. Nishimura G. A. de Nolfo S. Okuno J. F. Ormes S. Ozawa L. Pacini F. Palma P. Papini A. V. Penacchioni B. F. Rauch S. B. Ricciarini K. Sakai T. Sakamoto M. Sasaki Y. Shimizu A. Shiomi R. Sparvoli P. Spillantini F. Stolzi J. E. Suh A. Sulaj I. Takahashi M. Takayanagi M. Takita T. Tamura T. Terasawa H. Tomida S. Torii Y. Tsunesada Y. Uchihori S. Ueno E. Vannuccini J. P. Wefel K. Yamaoka S. Yanagita A. Yoshida K. Yoshida Department of Physics University of Florence Via Sansone 1—50019 Sesto Fiorentino Italy INFN Sezione di Florence Via Sansone 1—50019 Sesto Fiorentino Italy Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle Baltimore Maryland 21250 USA Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba 277-8582 Japan Waseda Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo 169-8555 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki 305-8505 Japan Department of Physical Sciences Earth and Environment University of Siena via Roma 56 53100 Siena Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3—56127 Pisa Italy Department of Physics and McDonnell Center for the Space Sciences Washington University One Brookings Drive St. Louis Missouri 63130-4899 USA Heliospheric Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton Rouge Louisiana 70803 USA Institute of Applied Physics (IFAC) National Research Council (CNR) Via Madonna del Piano 10 50019 Sesto Fiorentino Italy Department of Physics and Astronomy University of Padova Via Marzolo 8 35131 Padova Italy INFN Sezione di Padova Via Marzolo 8 35131 Padova Italy University of Rome “Tor Vergata” Via della Ricerca Scientifica 1 00133 Rome Italy INFN Sezione di Rome “Tor Vergata” Via della Ricerca Scientifica 1 00133 Rome Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa 252-5210 Japan CRESST and Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa 221-8686 Japan Faculty of

In this paper, we present the analysis and results of a direct measurement of the cosmic-ray proton spectrum with the CALET instrument onboard the International Space Station, including the detailed assessment of systematic uncertainties. The observation period used in this analysis is from October 13, 2015 to August 31, 2018 (1054 days). We have achieved the very wide energy range necessary to carry out measurements of the spectrum from 50 GeV to 10 TeV covering, for the first time in space, with a single instrument the whole energy interval previously investigated in most cases in separate subranges by magnetic spectrometers (BESS-TeV, PAMELA, and AMS-02) and calorimetric instruments (ATIC, CREAM, and NUCLEON). The observed spectrum is consistent with AMS-02 but extends to nearly an order of magnitude higher energy, showing a very smooth transition of the power-law spectral index from −2.81±0.03 (50–500 GeV) neglecting solar modulation effects (or −2.87±0.06 including solar modulation effects in the lower energy region) to −2.56±0.04 (1–10 TeV), thereby confirming the existence of spectral hardening and providing evidence of a deviation from a single power law by more than 3σ.

关键词： Cosmic ray acceleration Cosmic ray composition & spectra Cosmic ray propagation Cosmic ray sources Cosmic rays & astroparticles

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