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Frontispiz: Subnanometer Bimetallic Platinum–Zinc Clusters in Zeolites for Propane Dehydrogenation

Angewandte Chemie 2020年第44期132卷

作者： Qiming Sun Ning Wang Qiyuan Fan Lei Zeng Alvaro Mayoral Shu Miao Ruoou Yang Zheng Jiang Wei Zhou Jichao Zhang Tianjun Zhang Jun Xu Peng Zhang Jun Cheng Dong‐Chun Yang Ran Jia Lin Li Qinghong Zhang Ye Wang Osamu Terasaki Jihong Yu State Key Laboratory of Inorganic Synthesis and Preparative Chemistry College of Chemistry Jilin University Changchun 130012 P. R. China State Key Laboratory of Physical Chemistry of Solid Surfaces Collaborative Innovation Center of Chemistry for Energy Materials National Engineering Laboratory for Green Chemical Productions of Alcohols Ethers and Esters College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 P. R. China Center for High-resolution Electron Microscopy (CħEM) School of Physical Science and Technology ShanghaiTech University Shanghai 201210 P. R. China JEOL (Beijing) Co. Ltd. Beijing 100080 P. R. China Shanghai Synchrotron Radiation Facility Zhangjiang National Lab Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201204 P. R. China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 P. R. China Wuhan Center for Magnetic Resonance State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and Mathematics Chinese Academy of Sciences Wuhan 430071 P. R. China Department of Chemistry Dalhousie University Halifax Nova Scotia B3H 4R2 Canada Institute of Theoretical Chemistry Jilin University Changchun 130023 P. R. China Electron Microscopy Center Jilin University Changchun 130012 P. R. China International Center of Future Science Jilin University Qianjin Street 2699 Changchun 130012 P. R. China

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Frontispiece: Subnanometer Bimetallic Platinum–Zinc Clusters in Zeolites for Propane Dehydrogenation

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Angewandte Chemie International Edition 2020年第44期59卷

作者： Dr. Qiming Sun Dr. Ning Wang Qiyuan Fan Lei Zeng Dr. Alvaro Mayoral Dr. Shu Miao Dr. Ruoou Yang Prof. Zheng Jiang Wei Zhou Dr. Jichao Zhang Tianjun Zhang Prof. Jun Xu Prof. Peng Zhang Prof. Jun Cheng Dong-Chun Yang Prof. Ran Jia Dr. Lin Li Prof. Qinghong Zhang Prof. Ye Wang Prof. Osamu Terasaki Prof. Jihong Yu State Key Laboratory of Inorganic Synthesis and Preparative Chemistry College of Chemistry Jilin University Changchun 130012 P. R. China State Key Laboratory of Physical Chemistry of Solid Surfaces Collaborative Innovation Center of Chemistry for Energy Materials National Engineering Laboratory for Green Chemical Productions of Alcohols Ethers and Esters College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 P. R. China Center for High-resolution Electron Microscopy (CħEM) School of Physical Science and Technology ShanghaiTech University Shanghai 201210 P. R. China JEOL (Beijing) Co. Ltd. Beijing 100080 P. R. China Shanghai Synchrotron Radiation Facility Zhangjiang National Lab Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201204 P. R. China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 P. R. China Wuhan Center for Magnetic Resonance State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and Mathematics Chinese Academy of Sciences Wuhan 430071 P. R. China Department of Chemistry Dalhousie University Halifax Nova Scotia B3H 4R2 Canada Institute of Theoretical Chemistry Jilin University Changchun 130023 P. R. China Electron Microscopy Center Jilin University Changchun 130012 P. R. China International Center of Future Science Jilin University Qianjin Street 2699 Changchun 130012 P. R. China

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Input optics systems of the KAGRA detector during O3GK (vol 2023, 023F01, 2023)

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PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS 2023年第5期2023卷

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Bae, S. Bae, Y. Baiotti, L. Bajpai, R. Barton, M. A. Cannon, K. Cao, Z. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chiang, C-I Chu, H. Chu, Y-K Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fujikawa, Y. Fukunaga, M. Fukushima, M. Furuhata, T. Gao, D. Ge, G-G Ha, S. Hagiwara, A. Haino, S. Han, W-B Hasegawa, K. Hattori, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirose, E. Hong, Z. Hsieh, B-H Huang, G-Z Huang, H-Y Huang, P. Huang, Y-C Huang, Y-J Hui, D. C. Y. Ide, S. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Ito, K. Itoh, Y. Izumi, K. Jeon, C. Jin, H-B Jung, K. Jung, P. Kaihotsu, K. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kang, G. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawasaki, T. Kim, C. Kim, J. Kim, J. C. Kim, Ws Kim, Y-M Kimura, N. Kita, N. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A. K. H. Kotake, K. Kozakai, C. Kozu, R. Kumar, R. Kume, J. Kuo, C. Kuo, H-S Kuromiya, Y. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H. K. Lee, H. W. Lee, R. Leonardi, M. Li, K. L. Lin, L. C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H. L. Liu, G. C. Luo, L-W Majorana, E. Marchio, M. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyazaki, Y. Miyo, K. Miyoki, S. Mori, Y. Morisaki, S. Moriwaki, Y. Nagano, K. Nagano, S. Nakamura, K. Nakano, H. Nakano, M. Nakashima, R. Nakayama, Y. Narikawa, T. Naticchioni, L. Negishi, R. Quynh, L. Nguyen Ni, W-T Nishizawa, A. Nozaki, S. Obuchi, Y. Ogaki, W. Oh, J. J. Oh, S. H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohta, H. Okutani, Y. Okutomi, K. Oohara, K. Ooi, C. Oshino, S. Otabe, S. Pan, K-C Pang, H. Parisi, A. Park, J. Arellano, F. E. Pena Pinto, I. Sago, N. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakuno, Y. Sato, S. Sato, T. Sawada, T. Sekiguchi, T. Sekiguchi, Y. Shao, L. Shibagaki, S. Shimizu, R. Shimoda, T. Shimode, K. Shinkai, H. Shishido, T. Shoda, A. Somiya, K. Son, E. J. Sotani, H. Sugimoto, R. Suresh, J. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H Gravitational Wave Science Project National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Graduate School of Science and Technology Hirosaki University 3 Bunkyo-cho Hirosaki Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information 245 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Republic of Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University Xinjiekouwai Street 19 Haidian District Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Road Danshui Dist. New Taipei City 25137 Taiwan Department of Physics

KAGRA, the underground and cryogenic gravitational-wave detector, was operated for its solo observation from February 25 to March 10, 2020, and its first joint observation with the GEO 600 detector from April 7 to April 21, 2020 (O3GK). This study presents an overview of the input optics systems of the KAGRA detector, which consist of various optical systems, such as a laser source, its intensity and frequency stabilization systems, modulators, a Faraday isolator, mode-matching telescopes, and a high-power beam dump. These optics were successfully delivered to the KAGRA interferometer and operated stably during the observations. The laser frequency noise was observed to limit the detector sensitivity above a few kilohertz, whereas the laser intensity did not significantly limit the detector sensitivity.

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

arXiv

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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC BY.

关键词： Large dataset

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Fungal diversity notes 367-490:taxonomic and phylogenetic contributions to fungal taxa

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Fungal Diversity 2016年第5期80卷 1-270页

作者： Kevin D.Hyde Sinang Hongsanan Rajesh Jeewon D.Jayarama Bhat Eric H.C.McKenzie E.B.Gareth Jones Rungtiwa Phookamsak Hiran A.Ariyawansa Saranyaphat Boonmee Qi Zhao Faten Awad Abdel-Aziz Mohamed A.Abdel-Wahab Supharat Banmai Putarak Chomnunti Bao-Kai Cui Dinushani A.Daranagama Kanad Das Monika C.Dayarathne Nimali Ide Silva Asha J.Dissanayake Mingkwan Doilom Anusha H.Ekanayaka Tatiana Baptista Gibertoni Aristóteles Góes-Neto Shi-Ke Huang Subashini C.Jayasiri Ruvishika S.Jayawardena Sirinapa Konta Hyang Burm Lee Wen-Jing Li Chuan-Gen Lin Jian-Kui Liu Yong-Zhong Lu Zong-Long Luo Ishara S.Manawasinghe Patinjareveettil Manimohan Ausana Mapook Tuula Niskanen Chada Norphanphoun Moslem Papizadeh Rekhani H.Perera Chayanard Phukhamsakda Christian Richter AndréL.C.Mde A.Santiago E.Ricardo Drechsler-Santos Indunil C.Senanayake Kazuaki Tanaka T.M.D.S.Tennakoon Kasun M.Thambugala Qing Tian Saowaluck Tibpromma Benjarong Thongbai Alfredo Vizzini Dhanushka N.Wanasinghe Nalin N.Wijayawardene Hai-Xia Wu Jing Yang Xiang-Yu Zeng Huang Zhang Jin-Feng Zhang Timur S.Bulgakov Erio Camporesi Ali H.Bahkali Mohammad A.Amoozegar Lidia Silva Araujo-Neta Joseph F.Ammirati Abhishek Baghela R.P.Bhatt Dimitar Bojantchev Bart Buyck Gladstone Alves da Silva Catarina Letícia Ferreira de Lima Rafael JoséVilela de Oliveira Carlos Alberto Fragoso de Souza Yu-Cheng Dai Bálint Dima Tham Thi Duong Enrico Ercole Fernando Mafalda-Freire Aniket Ghosh Akira Hashimoto Sutakorn Kamolhan Ji-Chuan Kang Samantha C.Karunarathna Paul M.Kirk Ilkka Kytovuori Angela Lantieri Kare Liimatainen Zuo-Yi Liu Xing-Zhong Liu Robert Lücking Gianfranco Medardi Peter E.Mortimer Thi Thuong Thuong Nguyen Itthayakorn Promputtha K.N.Anil Raj Mateus A.Reck Saisamorn Lumyong Seyed Abolhassan Shahzadeh-Fazeli Marc Stadler Mohammad Reza Soudi Hong-Yan Su Takumasa Takahashi Narumon Tangthirasunun Priyanka Uniyal Yong Wang Ting-Chi Wen Jian-Chu Xu Zhong-Kai Zhang Yong-Chang Zhao Jun-Liang Zhou Lin Zhu Institute of Biotechnology and Germplasm Resources Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation Ministry of AgricultureYunnan Provincial Key Laboratory of Agricultural BiotechnologyYunnan Academy of Agricultural SciencesKunming 650223YunnanPeople’s Republic of China Key Laboratory of Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanPeople’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang University333 M.1T.ThasudMuangChiang Rai 57100Thailand State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesNo 31st West Beichen RoadChaoyang DistrictBeijing 100101People’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box:2455Riyadh1145Saudi Arabia Department of Botany and Microbiology Faculty of ScienceSohag UniversitySohag 82524Egypt Faculty of Agriculture and Life Sciences Hirosaki University3 Bunkyo-choHirosakiAomori 036-8561Japan The United Graduate School of Agricultural Sciences Iwate University18-8 Ueda 3 ChomeMorioka 020-8550Japan Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesXiaohe DistrictGuiyang CityGuizhou Province 550006People’s Republic of China School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Department of Plant Pathology College of AgricultureGuizhou UniversityGuiyang 550025GuizhouPeople’s Republic of China Department of Botany Goa UniversityTaleigãoGoaIndia No.128/1-J Azad Housing SocietyCurcaGoa Velha 403108India Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Centre of Mountain Ecosystem Studies Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanPeople’s Republic of China Department of Microbial Drugs Helmholtz Centre for Infection Res

This is a continuity of a series of taxonomic papers where materials are examined,described and novel combinations are proposed where necessary to improve our traditional species concepts and provide updates on their *** addition to extensive morphological descriptions and appropriate asexual and sexual connections,DNA sequence data are also analysed from concatenated datasets(rDNA,TEF-a,RBP2 and b-Tubulin)to infer phylogenetic relationships and substantiate systematic position of taxa within appropriate *** new species or combinations are being proposed,we apply an integrative approach(morphological and molecular data as well as ecological features wherever applicable).Notes on 125 fungal taxa are compiled in this paper,including eight new genera,101 new species,two new combinations,one neotype,four reference specimens,new host or distribution records for eight species and one alternative *** new genera introduced in this paper are Alloarthopyrenia,Arundellina,Camarosporioides,Neomassaria,Neomassarina,Neotruncatella,Paracapsulospora and *** new species are Alfaria spartii,Alloarthopyrenia italica,Anthostomella ravenna,***,Arthrinium paraphaeospermum,Arundellina typhae,Aspergillus koreanus,Asterina cynometrae,Bertiella ellipsoidea,Blastophorum aquaticum,Cainia globosa,Camarosporioides phragmitis,Ceramothyrium menglunense,Chaetosphaeronema achilleae,Chlamydotubeufia helicospora,Ciliochorella phanericola,Clavulinopsis aurantiaca,Colletotrichum insertae,Comoclathris italica,Coronophora myricoides,Cortinarius fulvescentoideus,***,***,***,Cunninghamella gigacellularis,Cyathus pyristriatus,Cytospora cotini,Dematiopleospora alliariae,***,Diaporthe aseana,***,Distoseptispora multiseptata,***,***,Dothiora buxi,Emericellopsis persica,Gloniopsis calami,Helicoma guttulatum,Helvella floriforma,***,Hermatomyces subiculosa,Ju

关键词： Ascomycota Basidiomycota Dothideomycetes Mortierellomycotina Mucoromycotina Pezizomycetes Phylogeny Taxonomy New genus New species New host records

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Unveiling microbial communities with EasyAmplicon: A user-centric guide to perform amplicon sequencing data analysis

iMetaOmics

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iMetaOmics 2024年第2期1卷

作者： Salsabeel Yousuf Hao Luo Meiyin Zeng Lei Chen Tengfei Ma Xiaofang Li Maosheng Zheng Xin Zhou Liang Chen Jiao Xi Hongye Lu Huiluo Cao Xiaoya Ma Bian Bian Pengfan Zhang Jiqiu Wu Renyou Gan Baolei Jia Linyang Sun Zhicheng Ju Yunyun Gao Waqar Afzal Malik Chuang Ma Hujie Lyu Yahui Li Huiyu Hou Yuanping Zhou Defeng Bai Yao Wang Haifei Yang Jiani Xun Shengda Du Tianyuan Zhang Xiulin Wan Kai Peng Shanshan Xu Tao Wen Tong Chen Yong-Xin Liu Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen Guangdong China Department of Vascular Surgery Fu Xing Hospital Capital Medical University Beijing China State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems Centre for Grassland Microbiome College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou Gansu China Centre for Agricultural Resources Research Institute of Genetics and Developmental Biology Chinese Academy of Sciences Shijiazhuang Hebei China College of Environmental Science and Engineering North China Electric Power University Beijing China State Key Laboratory of Mycology Institute of Microbiology Chinese Academy of Sciences Beijing China Biomedical Innovation Center and Beijing Key Laboratory for Therapeutic Cancer Vaccines Beijing Shijitan Hospital Capital Medical University Beijing China College of Natural Resources and Environment Northwest A&F University Yangling Shaanxi China Stomatology Hospital School of Stomatology Zhejiang University School of Medicine Zhejiang Provincial Clinical Research Center for Oral Diseases Key Laboratory of Oral Biomedical Research of Zhejiang Province Cancer Center of Zhejiang University Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province Hangzhou Zhejiang China Department of Microbiology University of Hong Kong Pok Fu Lam Hong Kong China Center for Energy Metabolism and Reproduction Institute of Biomedicine and Biotechnology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China Department of Cardiology Shenzhen Guangming District People's Hospital Shenzhen Guangdong China Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences The University of Tokyo Kashiwa Chiba Japan Innovative Genomics Institute University of California Berkeley C

The advent of next-generation sequencing has revolutionized microbiome research, enabling in-depth exploration of microbial communities through amplicon sequencing. The widespread adoption of sequencing across diverse fields, coupled with decreasing costs, underscores the critical need for validated, fully automated, reproducible, and adaptable analysis pipelines. However, analyzing these high-throughput datasets often necessitates extensive bioinformatics expertize, hindering accessibility for many researchers. To address this challenge, in 2023 we developed EasyAmplicon, a comprehensive, user-friendly pipeline that integrates popular tools such as USEARCH and VSEARCH, offering a streamlined workflow from raw data to results. Remarkably, EasyAmplicon has garnered significant recognition within a year, as evidenced by 127 citations to date. To further facilitate the researchers and enhance usability, we present a detailed protocol with a video recording that guides users through each step of the pipeline, including data preprocessing (quality filtering, chimera removal), amplicon sequence variant analysis, diversity analysis, and data visualization. The protocol is designed for ease of use, with each step documented, allowing researchers to execute the workflow without requiring complex scripting skills. The EasyAmplicon pipeline is freely available on GitHub ( https://***/YongxinLiu/EasyAmplicon ). EasyAmplicon offers a fully automated, user-friendly pipeline for comprehensive amplicon sequencing analysis, seamlessly integrating various bioinformatics tools. The pipeline supports efficient data preprocessing, diversity analysis, and advanced visualization, making high-throughput data analysis accessible to a broader range of researchers. Each step is documented, along with troubleshooting tips and solutions, for users' convenience.

关键词： computational biology EasyAmplicon metagenome microbiome

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Polygenic risk score and lung adenocarcinoma risk among never-smokers by EGFR mutation status-a brief report

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Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 2024年第4期20卷 521-530页

作者： Batel Blechter Chao Agnes Hsiung Xiaoyu Wang Haoyu Zhang Wei Jie Seow Jianxin Shi Nilanjan Chatterjee Hee Nam Kim Maria Pik Wong Yun-Chul Hong Jason Yy Wong Juncheng Dai H Dean Hosgood Zhaoming Wang I-Shou Chang Jiyeon Choi Jiucun Wang Minsun Song Wei Hu Wei Zheng Jin Hee Kim Baosen Zhou Demetrius Albanes Min-Ho Shin Lap Ping Chung She-Juan An Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Xiao-Ou Shu Young-Chul Kim Roel C H Vermeulen Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Michiaki Kubo Yataro Daigo Yukihide Momozawa Yoichiro Kamatani Takayuki Honda Hideo Kunitoh Shun-Ichi Watanabe Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Zhihua Yin Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Tangchun Wu Fusheng Wei Jian Su Yeul Hong Kim In-Jae Oh Victor Ho Fun Lee Wu-Chou Su Yuh-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Hsien-Chih Lin Adeline Seow Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Yu-Tang Gao Chen Wu Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Tzu-Yu Chen Laurie Burdett Meredith Yeager Amy Hutchinson Sonja I Berndt Wei Wu Junwen Wang Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu Chang Hyun Kang Chung-Hsing Chen Jun Xu Peng Guan Wen Tan Chih-Liang Wang Alan Dart Loon Sihoe Ying Chen Yi Young Choi Jun Suk Kim Ho-Il Yoon Qiuyin Cai In Kyu Park Ping Xu Qincheng He Chih-Yi Chen Junjie Wu Wei-Yen Lim Kun-Chieh Chen John K C Chan Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Joseph F Fraumeni Jie Liu Maria Teresa Landi Taiki Yamaji Yang Yang Belynda Hicks Kathleen Wyatt Shengchao A Li Hongxia Ma Bao Song Zhehai Wang Sensen Cheng Xuelian Li Yangwu Ren Motoki Iwasaki Junjie Zhu Gening Jiang Ke Fei Guoping Wu Li-Hsin Chien Fang-Yu Tsai Jinming Yu Victoria L Stevens Pan-Chyr Yang Dongxin Lin Kexin Chen Yi-Long Wu Keitaro Matsuo Nathaniel Rothman Kouya Shiraishi Hongbing Shen Stephen J Chanock Takashi Kohno Qing Lan Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA Saw Swee Hock School of Public Health National University of Singapore and National University Health System Singapore Singapore Department of Medicine Yong Loo Lin School of Medicine National University of Singapore and National University Health System Singapore Singapore. Department of Oncology School of Medicine Johns Hopkins University Baltimore MD USA Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore MD USA. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. Department of Pathology Queen Mary Hospital Hong Kong Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Epidemiology and Community Health Branch National Heart Lung and Blood Institute Bethesda MD USA. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Epidemiology and Population Health Albert Einstein College of Medicine New York USA. Department of Computational Biology St. Jude Children's Research Hospital Memphis TN USA. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Department of Statistics & Research Institute of Natural Sciences Sookmyung Women's University Seoul 04310 Korea. Division of Epidemiology Department of Medicine Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center Nashville TN USA. Department of Environmental Health

We assessed the association between a genome-wide polygenic risk score (PRS) developed for lung adenocarcinoma (LUAD) risk and mutation on the epidermal growth factor receptor (EGFR) gene in 998 East Asian never-smoking female LUAD cases (518 EGFR-positive; 480 EGFR-negative) and 4,544 never-smoking controls using case-case and multinomial regression analyses. We found that the PRS was more strongly associated with EGFR-positive LUAD compared to EGFR-negative LUAD, where the association between the fourth quartile of the PRS and EGFR-positive LUAD (OR=8.63, 95% CI:5.67, 13.14) was significantly higher than the association between the fourth quartile of the PRS with EGFR-negative LUAD (OR=3.50, 95% CI: 2.44, 5.00) (p-heterogeneity=3.66x10). Our findings suggest that germline genetic susceptibility may be differentially associated with LUAD in never-smoking female East Asian patients depending on the cancer's mutation status, which may have important public health and clinical implications.

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Constraints on Cosmic Strings Using Data from the Third advanced LIGO–Virgo Observing Run

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Physical Review Letters 2021年第24期126卷 241102-241102页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Auclair P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo S. Barnum F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. D LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics and Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illi

We search for gravitational-wave signals produced by cosmic strings in the advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO–Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10−15. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

关键词： Cosmic strings & domain walls Gravitational waves

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Erratum: Towards a muon collider

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The European Physical Journal C 2024年第1期84卷 1-4页

作者： Accettura, Carlotta Adams, Dean Agarwal, Rohit Ahdida, Claudia Aimè, Chiara Amapane, Nicola Amorim, David Andreetto, Paolo Anulli, Fabio Appleby, Robert Apresyan, Artur Apyan, Aram Arsenyev, Sergey Asadi, Pouya Mahmoud, Mohammed Attia Azatov, Aleksandr Back, John Balconi, Lorenzo Bandiera, Laura Barlow, Roger Bartosik, Nazar Barzi, Emanuela Batsch, Fabian Bauce, Matteo Berg, J. Scott Bersani, Andrea Bertarelli, Alessandro Bertolin, Alessandro Black, Kevin Boattini, Fulvio Bogacz, Alex Bonesini, Maurizio Bordini, Bernardo Bottaro, Salvatore Bottura, Luca Braghieri, Alessandro Breschi, Marco Bruhwiler, Natalie Buffat, Xavier Buonincontri, Laura Burrows, Philip N. Burt, Graeme Buttazzo, Dario Caiffi, Barbara Calviani, Marco Calzaferri, Simone Calzolari, Daniele Capdevilla, Rodolfo Carli, Christian Casaburo, Fausto Casarsa, Massimo Castelli, Luca Catanesi, Maria Gabriella Cavallucci, Lorenzo Cavoto, Gianluca Celiberto, Francesco Giovanni Celona, Luigi Cerri, Alessandro Cesarini, Gianmario Cesarotti, Cari Chachamis, Grigorios Chance, Antoine Chen, Siyu Chien, Yang-Ting Chiesa, Mauro Colaleo, Anna Collamati, Francesco Collazuol, Gianmaria Costa, Marco Craig, Nathaniel Curatolo, Camilla Curtin, David Da Molin, Giacomo Dam, Magnus Damerau, Heiko Dasu, Sridhara de Blas, Jorge De Curtis, Stefania De Matteis, Ernesto De Rosa, Stefania Delahaye, Jean-Pierre Denisov, Dmitri Denizli, Haluk Densham, Christopher Dermisek, Radovan Di Luzio, Luca Di Meco, Elisa Di Micco, Biagio Dienes, Keith Diociaiuti, Eleonora Dorigo, Tommaso Dudarev, Alexey Edgecock, Robert Errico, Filippo Fabbrichesi, Marco Farinon, Stefania Ferrari, Anna Somoza, Jose Antonio Ferreira Filthaut, Frank Fiorina, Davide Fol, Elena Forslund, Matthew Franceschini, Roberto Ximenes, Rui Franqueira Gabrielli, Emidio Gallinaro, Michele Garosi, Francesco Giambastiani, Luca Gianelle, Alessio Gilardoni, Simone Giove, Dario Augusto Giraldin, Carlo Glioti, Alfredo Greco, Mario Greljo, Admir Groeber, Ramona Grojean, Christophe Grudiev, Alexej Gu, Jiayin Han, Chengcheng Han, T Organisation Européenne pour la Recherche Nucléaire (CERN) Geneva Switzerland STFC Rutherford Appleton Laboratory (RAL) Oxford UK Computer Science Department University of California (UC) Berkeley USA Dipartimento di Fisica Università di Pavia Pavia Italy INFN Sezione di Pavia Pavia Italy INFN Sezione di Torino Turin Italy Dipartimento di Fisica Università di Torino Turin Italy INFN Sezione di Padova Padua Italy INFN Sezione di Roma Rome Italy School of Physics and Astronomy University of Manchester Manchester UK Fermi National Accelerator Laboratory Batavia USA Department of Physics Brandeis University Waltham USA IRFU CEA University Paris-Saclay Gif-sur-Yvette France Center for Theoretical Physics Massachusetts Institute of Technology Cambridge USA Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt SISSA International School for Advanced Studies Trieste Italy INFN Sezione di Trieste Trieste Italy Department of Physics University of Warwick Coventry UK Dipartimento di Fisica Università di Milano Milan Italy INFN Laboratori Acceleratori e Superconduttività Applicata (LASA) Milan Italy INFN Sezione di Ferrara Ferrara Italy School of Computing and Engineering The University of Huddersfield Huddersfield UK Ohio State University Columbus USA Brookhaven National Laboratory Upton USA INFN Sezione di Genova Genoa Italy University of Wisconsin Wisconsin USA Center for Advanced Studies of Accelerators Jefferson Lab Newport News USA INFN Sezione di Milano Bicocca Milan Italy Dipartimento di Fisica Università di Milano Bicocca Milan Italy Scuola Normale Superiore Pisa Italy INFN Sezione di Pisa Pisa Italy Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione Università di Bologna Bologna Italy INFN Sezione di Bologna Bologna Italy Department of Physics University of California (UC) Berkeley USA Dipartimento di Fisica e Astronomia Università di Padova Padoa Italy John Adams Institute University of O

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Search for anisotropic gravitational-wave backgrounds using data from advanced LIGO and advanced Virgo’s first three observing runs

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Physical Review D 2021年第2期104卷 022005-022005页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic R. L. Byer L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illinois

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the advanced LIGO and advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called pystoch on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of gravitational-wave signals. Hence we derive 95% confidence-level upper limit sky maps on the gravitational-wave energy flux from broadband point sources, ranging from Fα,Θ<(0.013–7.6)×10−8 erg cm−2 s−1 Hz−1, and on the (normalized) gravitational-wave energy density spectrum from extended sources, ranging from Ωα,Θ<(0.57–9.3)×10−9 sr−1, depending on direction (Θ) and spectral index (α). These limits improve upon previous limits by factors of 2.9–3.5. We also set 95% confidence level upper limits on the frequency-dependent strain amplitudes of quasimonochromatic gravitational waves coming from three interesting targets, Scorpius X-1, SN 1987A and the Galactic Center, with best upper limits range from h0<(1.7–2.1)×10−25, a factor of ≥2.0 improvement compared to previous stochastic radiometer searches.

关键词： Experimental studies of gravity General relativity Gravitational waves

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