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Characterization of halotolerant phosphate-solubilizing rhizospheric bacteria from mangrove (Avicennia sp.) with biotechnological potential in agriculture and pollution mitigation

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Biocatalysis and Agricultural Biotechnology 2024年 55卷

作者： Dey, Gobinda Maity, Jyoti Prakash Banerjee, Pritam Sharma, Raju Kumar Etesami, Hassan Bastia, Tapan Kumar Rath, Prasanta Sukul, Uttara Huang, Hsien-Bin Huang, Kuo-Wei Chen, Chien-Yen Department of Agricultural Chemistry National Taiwan University Taipei 106319 Taiwan Department of Biomedical Sciences Graduate Institute of Molecular Biology National Chung Cheng University 168 University Road Chiayi County Ming-Shung 62102 Taiwan Doctoral Program in Science Technology Environment and Mathematics Department of Earth and Environmental Sciences National Chung Cheng University 168 University Rd. Chiayi County Min-Hsiung 62102 Taiwan Environmental Science Laboratory Department of Chemistry Biological Laboratory School of Applied Sciences KIIT Deemed to Be University Odisha Bhubaneswar 751024 India Department of Environmental Science Policy and Management University of California Berkeley CA United States Department of Chemistry and Biochemistry National Chung Cheng University 168 University Road Chiayi County Min-Hsiung 62102 Taiwan Department of Soil Science University of Tehran Tehran 31587-77871 Iran Environmental Science Laboratory Department of Chemistry School of Applied Sciences KIIT Deemed to Be University Odisha Bhubaneswar 751024 India Department of Otolaryngology Ditmanson Medical Foundation Chia-Yi Christian Hospital Taiwan Center for Nano Bio-Detection Center for Innovative Research on Aging Society AIM-HI National Chung Cheng University Chiayi 62102 Taiwan

Mangroves represent intricate and ever-changing ecosystems, exhibiting fluctuations in water level, salinity, and nutrient (such as NPK) availability as well as a wide array of unique bacterial communities. Microbial interactions in different components (e.g., tree roots) of the mangrove ecosystem are crucial to understand the ecosystem functioning for potential application in pollution mitigation and agricultural production. This study aimed to isolate phosphate-solubilizing bacteria (PSB) from the rhizosphere sediment of mangrove (Avicennia sp.) in terms of heavy metals (HMs) and salinity tolerance as well as plant growth promoting (PGP) traits, where the effective PSB were used on Brassica chinensis for their seed priming and growth under salinity stress. The effective two PSB isolates were identified by 16S rRNA, where JKD01 and JKD02 were closely related (99%) to Enterobacter cloacae (OQ271412) and Kocuria rhizophila (OQ271413), respectively. Both the strains exhibited phosphate solubilization, IAA, NH_3, and EPS production ability as well as HMs resistant ability where, E. cloacae (OQ271412) and K. rhizophila (OQ271413), are effectively remove the Cu from the water with 33.23% and 27.54%, respectively. The FTIR results showed functional group shifts (carboxyl, phosphate, and amino) in Cu-treated bacterial biomass and intracellular Cu presence, indicating the involvement of Cu in the bio-sorption and intracellular bioaccumulation process, respectively. The findings suggested PSB tolerance to salinity and HMs are present in mangroves, making them a valuable source for isolating effective bacteria to reduce stress in plants, lower HMs accumulation in mangroves, and aid in the bioremediation of HMs-contaminated environments. © 2023

关键词： Bio-priming Copper remediation Heavy metal tolerant Mangrove Phosphate-solubilizing bacteria Salt tolerant

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Recent research progress of laser plasma interactions in Shenguang laser facilities

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Matter and Radiation at Extremes 2019年第5期4卷 38-49页

作者： Tao Gong Liang Hao Zhichao Li Dong Yang Sanwei Li Xin Li Liang Guo Shiyang Zou Yaoyuan Liu Xiaohua Jiang Xiaoshi Peng Tao Xu Xiangming Liu Yulong Li Chunyang Zheng Hongbo Cai Zhanjun Liu Jian Zheng Zhebin Wang Qi Li Ping Li Rui Zhang Ying Zhang Fang Wang Deen Wang Feng Wang Shenye Liu Jiamin Yang Shaoen Jiang Baohan Zhang Yongkun Ding Research Center of Laser Fusion China Academy of Engineering PhysicsMianyangSichuan 621900People’s Republic of China Institute of Applied Physics and Computational Mathematics Beijing 100088People’s Republic of China CAS Key Laboratory of Geospace Environment and Department of Engineering and Department of Engineering and Applied Physics University of Science and Technology of ChinaHefeiAnhui 230027People’s Republic of China

Wereport experimental research on laser plasma interaction(LPI)conducted in Shenguang laser facilities during the past ten *** research generally consists of three phases:(1)developing platforms for LPI research in mm-scale plasma with limited drive energy,where both gasbag and gas-filled hohlraum targets are tested;(2)studying the effects of beam-smoothing techniques,such as continuous phase plate and polarization smoothing,on the suppression of LPI;and(3)exploring the factors affecting LPI in integrated implosion experiments,which include the laser intensity,gas-fill pressure,size of the laser-entrance hole,and interplay between different beam *** obtained in each phase will be presented and discussed in detail.

关键词： laser polarization smoothing

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Topology and Kinetic Pathways of Colloidosome Assembly and Disassembly

arXiv

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arXiv 2025年

作者： Adkins, Raymond Robaszewski, Joanna Shin, Seungwoo Brauns, Fridtjof Jia, Leroy Khanra, Ayantika Sharma, Prerna Pelcovits, Robert Powers, Thomas R. Dogic, Zvonimir Department of Physics University of California Santa Barbara Santa BarbaraCA93106 United States Molecular Biophysics and Biochemistry Yale University New HavenCT06510 United States Environmental Laboratory US Army Engineer Research and Development Center ConcordMA01742 United States Kavli Institute for Theoretical Physics University of California Santa Barbara Santa BarbaraCA93106 United States Applied and Computational Mathematics Division National Institute of Standards and Technology GaithersburgMD20899 United States Department of Physics Indian Institute of Science Bangalore560012 India Department of Bioengineering Indian Institute of Science Bangalore560012 India Department of Physics Brown University ProvidenceRI02906 United States School of Engineering Brown University ProvidenceRI02906 United States

Liquid shells, such as lipid vesicles and soap bubbles, are ubiquitous throughout biology, engineered matter, and everyday life. Their creation and disintegration are defined by a singularity that separates a topologically distinct extended liquid film from a boundary-free closed shell. Such topology-changing processes are essential for cellular transport and drug delivery. However, their studies are challenging because of the rapid dynamics and small length scale of conventional lipid vesicles. We develop fluid colloidosomes, micron-sized analogs of lipid vesicles. We study their stability close to their disk-to-sphere topological transition. Intrinsic colloidal length and time scales slow down the dynamics to reveal vesicle conformations in real time during their assembly and disassembly. Remarkably, the lowest-energy pathway by which a closed vesicle transforms into a disk involves a topologically distinct cylinder-like intermediate. These results reveal universal aspects of topological changes in all liquid shells and a robust platform for the encapsulation, transport, and delivery of nanosized cargoes. © 2025, CC BY.

关键词： Controlled drug delivery

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The repertoire of mutational signatures in human cancer (vol 578, pg 94, 2020)

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NATURE 2023年第7948期614卷 E41-E41页

作者： Alexandrov, Ludmil B. Kim, Jaegil Haradhvala, Nicholas J. Huang, Mi Ni Ng, Alvin Wei Tian Wu, Yang Boot, Arnoud Covington, Kyle R. Gordenin, Dmitry A. Bergstrom, Erik N. Islam, S. M. Ashiqul Lopez-Bigas, Nuria Klimczak, Leszek J. McPherson, John R. Morganella, Sandro Sabarinathan, Radhakrishnan Wheeler, David A. Mustonen, Ville Getz, Gad Rozen, Steven G. Stratton, Michael R. Department of Cellular and Molecular Medicine Department of Bioengineering Moores Cancer Center University of California San Diego CA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Cellular and Molecular Medicine and Department of Bioengineering University of California San Diego La Jolla CA USA UC San Diego Moores Cancer Center San Diego CA USA University of California San Diego San Diego CA USA Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Massachusetts General Hospital Boston MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Laboratory for Medical Science Mathematics RIKEN Center for Integrative Medical Sciences Yokohama Japan Computational Biology Program Ontario Institute for Cancer Research Toronto ON Canada Programme in Cancer & Stem Cell Biology Duke-NUS Medical School Singapore Singapore Centre for Computational Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Centre for Computational Biology Duke-NUS Medical School Singapore Singapore SingHealth Duke-NUS Institute of Precision Medicine National Heart Centre Singapore Singapore Singapore Cancer Science Institute of Singapore National University of Singapore Singapore Singapore Institute of Molecular and Cell Biology Singapore Singapore Laboratory of Cancer Epigenome Division of Medical Science National Cancer Centre Singapore Singapore Singapore Duke-NUS Medical School Singapore Singapore Human Genome Sequencing Center Baylor College of Medicine Houston TX USA Dan L. Duncan Cancer Center Baylor College of Medicine Houston TX USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Genome Integrity and Structural Biology Laboratory National Ins

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Patterns of somatic structural variation in human cancer genomes (vol 578, pg 112, 2020)

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NATURE 2023年第7948期614卷 E38-E38页

作者： Li, Yilong Roberts, Nicola D. Wala, Jeremiah A. Shapira, Ofer Schumacher, Steven E. Kumar, Kiran Khurana, Ekta Waszak, Sebastian Korbel, Jan O. Haber, James E. Imielinski, Marcin Weischenfeldt, Joachim Beroukhim, Rameen Campbell, Peter J. Cancer Genome Project Wellcome Trust Sanger Institute Hinxton UK Totient Inc Cambridge MA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Haematology University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Zoology Genetics and Physical Anthropology University of Santiago de Compostela Santiago de Compostela Spain Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) University of Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) University of Vigo Vigo Spain Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain Department of Zoology Genetics and Physical Anthropology (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) Universidade de Vigo Vigo Spain The Broad Institute of Harvard and MIT Cambridge MA USA Bioinformatics and Integrative Genomics Harvard University Cambridge MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Harvard Medical School Boston MA USA Massachusetts General Hospital Center for Cancer Research Charlestown MA USA Dana-Farber Cancer Institute Boston MA USA Department of Biostatistics and Computational Biology Dana-Farber Cancer Institute and Harvard Medical School Boston MA USA Weill Cornell Medical College New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine Ne

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X-ray luminosity function of high-mass X-ray binaries: Studying the signatures of different physical processes using detailed binary evolution calculations

arXiv

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arXiv 2022年

作者： Misra, Devina Kovlakas, Konstantinos Fragos, Tassos Lazzarini, Margaret Bavera, Simone S. Lehmer, Bret D. Zezas, Andreas Zapartas, Emmanouil Xing, Zepei Andrews, Jeff J. Dotter, Aaron Rocha, Kyle Akira Srivastava, Philipp M. Sun, Meng Département d'Astronomie Université de Genève Chemin Pegasi 51 VersoixCH-1290 Switzerland Institutt for Fysikk Norwegian University of Science and Technology Trondheim Norway Campus UAB Carrer de Magrans Barcelona08193 Spain Carrer Gran Capità Barcelona08034 Spain Université de Genève 24 quai E. Ansermet GenevaCH-1211 Switzerland Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States Department of Physics University of Arkansas 226 Physics Building 825 West Dickson Street FayettevilleAR72701 United States Physics Department Institute of Theoretical & Computational Physics University of Crete Crete Heraklion71003 Greece Harvard-Smithsonian Center for Astrophysics 60 Garden Street CambridgeMA02138 United States Institute of Astrophysics Foundation for Research and Technology-Hellas HeraklionGR-71110 Greece IAASARS National Observatory of Athens Vas. Pavlou and I. Metaxa Penteli15236 Greece 1800 Sherman EvanstonIL60201 United States Department of Physics University of Florida 2001 Museum Rd GainesvilleFL32611 United States Electrical and Computer Engineering Northwestern University 2145 Sheridan Road EvanstonIL60208 United States

Context. Many physical processes taking place during the evolution of binary stellar systems remain poorly understood. The ever-expanding observational sample of X-ray binaries (XRBs) makes them excellent laboratories for constraining binary evolution theory. Such constraints and useful insights can be obtained by studying the effects of various physical assumptions on synthetic X-ray luminosity functions (XLFs) and comparing them with observed XLFs. Aims. In this work we focus on high-mass X-ray binaries (HMXBs) and study the effects on the XLF of various, poorly constrained assumptions regarding physical processes, such as the common-envelope phase, core collapse, and wind-fed accretion. Methods. We used the new binary population synthesis code POSYDON, which employs extensive precomputed grids of detailed stellar structure and binary evolution models, to simulate the entire evolution of binaries. We generated 96 synthetic XRB populations corresponding to different combinations of model assumptions, including different prescriptions for supernova kicks, supernova remnant masses, common-envelope evolution, circularization at the onset of Roche-lobe overflow, and observable wind-fed accretion. Results. The generated HMXB XLFs are feature-rich, deviating from the commonly assumed single power law. We find a break in our synthetic XLF at luminosity ∼ 1038 erg s−1, similar to observed XLFs. However, we also find a general overabundance of XRBs (up to a factor of ∼10 for certain model parameter combinations) driven primarily by XRBs with black hole accretors. Assumptions about the transient behavior of Be XRBs, asymmetric supernova kicks, and common-envelope physics can significantly affect the shape and normalization of our synthetic XLFs. We find that less well-studied assumptions regarding the circularization of the orbit at the onset of Roche-lobe overflow and criteria for the formation of an X-ray-emitting accretion disk around wind-accreting black holes can also i

关键词： Supernovae

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First test of lepton flavor universality in the charmed baryon decays Ωc0→Ω−ℓ+νℓ using data of the Belle experiment

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Physical Review D 2022年第9期105卷 L091101-L091101页

作者： Y. B. Li C. P. Shen I. Adachi H. Aihara S. Al Said D. M. Asner H. Atmacan T. Aushev R. Ayad V. Babu S. Bahinipati P. Behera K. Belous J. Bennett F. Bernlochner M. Bessner B. Bhuyan T. Bilka A. Bobrov D. Bodrov J. Borah A. Bozek M. Bračko P. Branchini T. E. Browder A. Budano M. Campajola D. Červenkov M.-C. Chang P. Chang V. Chekelian A. Chen B. G. Cheon K. Chilikin H. E. Cho K. Cho S.-J. Cho S.-K. Choi Y. Choi S. Choudhury D. Cinabro S. Cunliffe N. Dash G. De Nardo G. De Pietro R. Dhamija F. Di Capua J. Dingfelder Z. Doležal T. V. Dong T. Ferber D. Ferlewicz B. G. Fulsom R. Garg V. Gaur N. Gabyshev A. Giri P. Goldenzweig B. Golob E. Graziani K. Gudkova C. Hadjivasiliou T. Hara K. Hayasaka H. Hayashii M. T. Hedges W.-S. Hou K. Inami G. Inguglia A. Ishikawa R. Itoh M. Iwasaki Y. Iwasaki W. W. Jacobs E.-J. Jang S. Jia Y. Jin K. K. Joo J. Kahn K. H. Kang T. Kawasaki H. Kichimi C. Kiesling C. H. Kim D. Y. Kim K.-H. Kim K. T. Kim Y.-K. Kim K. Kinoshita P. Kodyš T. Konno A. Korobov S. Korpar E. Kovalenko P. Križan R. Kroeger P. Krokovny M. Kumar R. Kumar K. Kumara A. Kuzmin Y.-J. Kwon K. Lalwani T. Lam M. Laurenza S. C. Lee J. Li L. K. Li Y. Li L. Li Gioi J. Libby K. Lieret D. Liventsev A. Martini M. Masuda D. Matvienko S. K. Maurya M. Merola K. Miyabayashi R. Mizuk G. B. Mohanty M. Nakao D. Narwal A. Natochii L. Nayak M. Nayak N. K. Nisar S. Nishida K. Ogawa S. Ogawa H. Ono P. Oskin P. Pakhlov G. Pakhlova T. Pang S. Pardi S.-H. Park S. Patra S. Paul T. K. Pedlar R. Pestotnik L. E. Piilonen T. Podobnik E. Prencipe M. T. Prim M. Röhrken A. Rostomyan N. Rout G. Russo D. Sahoo S. Sandilya A. Sangal L. Santelj V. Savinov G. Schnell J. Schueler C. Schwanda Y. Seino K. Senyo M. E. Sevior M. Shapkin C. Sharma V. Shebalin J.-G. Shiu B. Shwartz J. B. Singh A. Sokolov E. Solovieva M. Starič Z. S. Stottler M. Sumihama T. Sumiyoshi M. Takizawa U. Tamponi K. Tanida F. Tenchini M. Uchida T. Uglov Y. Unno K. Uno S. Uno P. Urquijo S. E. Vahsen R. Van Tonder G. Varner A. Vinokurova E. Waheed D. Wang E. Wang M.-Z. Wang S. Watanuki E. Won Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics Fudan University Shanghai 200443 High Energy Accelerator Research Organization (KEK) Tsukuba 305-0801 SOKENDAI (The Graduate University for Advanced Studies) Hayama 240-0193 Department of Physics University of Tokyo Tokyo 113-0033 Department of Physics Faculty of Science University of Tabuk Tabuk 71451 Department of Physics Faculty of Science King Abdulaziz University Jeddah 21589 Brookhaven National Laboratory Upton New York 11973 University of Cincinnati Cincinnati Ohio 45221 National Research University Higher School of Economics Moscow 101000 Deutsches Elektronen–Synchrotron 22607 Hamburg Indian Institute of Technology Bhubaneswar Satya Nagar 751007 Indian Institute of Technology Madras Chennai 600036 Institute for High Energy Physics Protvino 142281 University of Mississippi University Mississippi 38677 University of Bonn 53115 Bonn University of Hawaii Honolulu Hawaii 96822 Indian Institute of Technology Guwahati Assam 781039 Faculty of Mathematics and Physics Charles University 121 16 Prague Budker Institute of Nuclear Physics SB RAS Novosibirsk 630090 Novosibirsk State University Novosibirsk 630090 P.N. Lebedev Physical Institute of the Russian Academy of Sciences Moscow 119991 H. Niewodniczanski Institute of Nuclear Physics Krakow 31-342 Faculty of Chemistry and Chemical Engineering University of Maribor 2000 Maribor J. Stefan Institute 1000 Ljubljana INFN—Sezione di Roma Tre I-00146 Roma INFN—Sezione di Napoli I-80126 Napoli Università di Napoli Federico II I-80126 Napoli Department of Physics Fu Jen Catholic University Taipei 24205 Department of Physics National Taiwan University Taipei 10617 Max-Planck-Institut für Physik 80805 München National Central University Chung-li 32054 Department of Physics and Institute of Natural Sciences Hanyang University Seoul 04763 Korea Institute of Science and Technology Information Daejeon 34141 Yonsei University Seoul 0372

We present the first observation of the Ωc0→Ω−μ+νμ decay and present measurements of the branching fraction ratios of the Ωc0→Ω−ℓ+νℓ decays compared to the reference mode Ωc0→Ω−π+, (ℓ=e or μ). This analysis is based on 89.5 fb−1, 711 fb−1, and 121.1 fb−1 data samples collected with the Belle detector at the KEKB asymmetric-energy e+e− collider at the center-of-mass energies of 10.52 GeV, 10.58 GeV, and 10.86 GeV, respectively. The Ωc0 signal yields are extracted by fitting MΩℓ and MΩπ spectra. The branching fraction ratios B(Ωc0→Ω−e+νe)/B(Ωc0→Ω−π+) and B(Ωc0→Ω−μ+νμ)/B(Ωc0→Ω−π+) are measured to be 1.98±0.13(stat)±0.08(syst) and 1.94±0.18(stat)±0.10(syst), respectively. The ratio of B(Ωc0→Ω−e+νe)/B(Ωc0→Ω−μ+νμ) is measured to be 1.02±0.10(stat)±0.02(syst), which is consistent with the expectation of lepton flavor universality.

关键词： Branching fraction Leptonic, semileptonic & radiative decays Charmed baryons Lepton colliders

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Correction: CEPC Technical Design Report: Accelerator

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Radiation Detection technology and Methods 2024年第1期9卷 184-192页

作者： Abdallah, Waleed de Freitas, Tiago CarlosAdorno Afanaciev, Konstantin Ahmad, Shakeel Ahmed, Ijaz Ai, Xiaocong Aleem, Abid Altmannshofer, Wolfgang Alves, Fabio An, Weiming An, Rui Anderle, Daniele Paolo Antusch, Stefan Arai, Yasuo Arbuzov, Andrej Arhrib, Abdesslam Ashry, Mustafa Bai, Sha Bai, Yu Bai, Yang Bairathi, Vipul Balazs, Csaba Bambade, Philip Ban, Yong Bandyopadhyay, Triparno Bao, Shou-Shan Barber, Desmond P. Bat, Ays¸e Batozskaya, Varvara Behera, Subash Chandra Belyaev, Alexander Bertucci, Michele Bi, Xiao-Jun Bi, Yuanjie Bian, Tianjian Bianchi, Fabrizio Bieko¨tter, Thomas Biglietti, Michela Bilanishvili, Shalva Binglin, Deng Bodrov, Denis Bogomyagkov, Anton Bondarenko, Serge Boogert, Stewart Boonekamp, Maarten Borri, Marcello Bosotti, Angelo Boudry, Vincent Boukidi, Mohammed Boyko, Igor Bozovic, Ivanka Bozzi, Giuseppe Brient, Jean-Claude Budzinskaya, Anastasiia Bukhari, Masroor Bytev, Vladimir Cacciapaglia, Giacomo Cai, Hua Cai, Wenyong Cai, Wujun Cai, Yijian Cai, Yizhou Cai, Yuchen Cai, Haiying Cai, Huacheng Calibbi, Lorenzo Cang, Junsong Cao, Guofu Cao, Jianshe Chance, Antoine Chang, Xuejun Chang, Yue Chang, Zhe Chang, Xinyuan Chao, Wei Chatrabhuti, Auttakit Che, Yimin Che, Yuzhi Chen, Bin Chen, Danping Chen, Fuqing Chen, Fusan Chen, Gang Chen, Guoming Chen, Hua-Xing Chen, Huirun Chen, Jinhui Chen, Ji-Yuan Chen, Kai Chen, Mali Chen, Mingjun Chen, Mingshui Chen, Ning Chen, Shanhong Chen, Shanzhen Chen, Shao-Long Chen, Shaomin Chen, Shiqiang Chen, Tianlu Chen, Wei Chen, Xiang Chen, Xiaoyu Chen, Xin Chen, Xun Chen, Xurong Chen, Ye Chen, Ying Chen, Yukai Chen, Zelin Chen, Zilin Chen, Boping Chen, Chunhui Cheng, Hok Chuen Cheng, Huajie Cheng, Shan Cheng, Tongguang Chi, Yunlong Chimenti, Pietro Chiu, Wen Han Cho, Guk Chu, Ming-Chung Chu, Xiaotong Chu, Ziliang Coloretti, Guglielmo Crivellin, Andreas Cui, Hanhua Cui, Xiaohao Cui, Zhaoyuan D’Anzi, Brunella Dai, Ling-Yun Dai, Xinchen Dai, Xuwen De Maria, Antonio De Filippis, Nicola De La Taille, Christophe De Mori, Francesca De Sio, Chiara Del Core, Elisa Deng, Cairo University Giza Egypt Xi’an Jiaotong-Liverpool University Suzhou China Institute of Power Engineering of National Academy of Sciences of Belarus Minsk Belarus Pakistan Institute of Nuclear Science and Technology (PINSTECH) Islamabad Pakistan Applied Physics Department Science and Technology Federal Urdu University of Arts Islamabad Pakistan Zhengzhou University Zhengzhou China Institute of High Energy Physics Chinese Academy of Sciences Beijing China University of California Santa Cruz Santa Cruz USA Nanjing University Nanjing China Beijing Normal University Beijing China Harvard University Cambridge USA South China Normal University Guangzhou China University of Basel Basel Switzerland High Energy Accelerator Research Organization (KEK) Tsukuba Japan Joint Institute for Nuclear Research Dubna Russia Faculty of Sciences and Techniques Université Abdelmalek Essaadi Tangier Morocco Southeast University Nanjing China Department of Physics University of Wisconsin–Madison Madison USA Instituto de Alta Investigación Universidad de Tarapacá Arica Chile Monash University Melbourne Australia Laboratoire de Physique des 2 infinis Irène Joliot-Curie – IJCLab Orsay France Peking University Beijing China Department of Physics and Nanotechnology SRM Institute of Science and Technology Kattankulathur India Shandong University Jinan China University of New Mexico Albuquerque USA Bandirma Onyedi Eylul University Bandırma Turkey National Centre for Nuclear Research Warsaw Poland Indian Institute of Technology Madras (IN) Chennai India University of Southampton Southampton UK INFN Milano - LASA Segrate Italy Sun Yat-Sen University Guangzhou China China Institute of Atomic Energy Beijing China INFN-University of Torino Turin Italy Karlsruhe Institute of Technology Institute for Theoretical Physics Karlsruhe Germany INFN-Sezione di Roma Tre Rome Italy Kutaisi International University Kutaisi Georgia Soochow University Suzhou China Budker Institute

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Modeling subgrid-scale force and divergence of heat flux of compressible isotropic turbulence by artificial neural network

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Physical Review Fluids 2019年第10期4卷 104605-104605页

作者： Chenyue Xie Ke Li Chao Ma Jianchun Wang Shenzhen Key Laboratory of Complex Aerospace Flows Center for Complex Flows and Soft Matter Research Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 People's Republic of China Institute of Computational Mathematics and Scientific Engineering Computing Chinese Academy of Sciences Beijing 100190 People's Republic of China The Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA

In this paper, the subgrid-scale (SGS) force and the divergence of SGS heat flux of compressible isotropic turbulence are modeled directly by an artificial neural network (ANN), which serves as a data-driven SGS modeling tool for large-eddy simulations (LESs). The unclosed SGS force and divergence of SGS heat flux are modeled based on the local stencil geometry with Galilean invariance. The input features include the first-order and second-order derivatives of filtered velocity and temperature, filtered density, and its first-order derivative. It is shown that the proposed ANN-F7 model shows an advantage over the gradient model in the a priori test. Specifically, the ANN-F7 model gives larger correlation coefficients and smaller relative errors than the gradient model. In an a posteriori analysis, the ANN-F7 model performs better than the dynamic Smagorinsky model (DSM) and dynamic mixed model (DMM) in the prediction of the statistical properties of flow fields at the Taylor microscale Reynolds number Reλ ranging from 180 to 250. The DSM and DMM models lead to the typical tilted spectral distribution of velocity, where low wave numbers are too energy rich, while those near the cutoff are damped too strongly. In contrast, it is shown that the velocity spectrum predicted by the ANN-F7 model almost overlaps with the filtered direct numerical simulation data. Besides, the ANN-F7 model reconstructs the probability density functions of SGS force and divergence of SGS heat flux much better than the DSM and DMM models. An artificial neural network with reasonable physical input features can deepen our understanding of turbulence modeling.

关键词： Compressible flows Turbulence Artificial neural networks

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The evolutionary history of 2,658 cancers (vol 578, pg 122, 2020)

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NATURE 2023年第7948期614卷 E42-E42页

作者： Gerstung, Moritz Jolly, Clemency Leshchiner, Ignaty Dentro, Stefan C. Gonzalez, Santiago Rosebrock, Daniel Mitchell, Thomas J. Rubanova, Yulia Anur, Pavana Yu, Kaixian Tarabichi, Maxime Deshwar, Amit Wintersinger, Jeff Kleinheinz, Kortine Vazquez-Garcia, Ignacio Haase, Kerstin Jerman, Lara Sengupta, Subhajit Macintyre, Geoff Malikic, Salem Donmez, Nilgun Livitz, Dimitri G. Cmero, Marek Demeulemeester, Jonas Schumacher, Steven Fan, Yu Yao, Xiaotong Lee, Juhee Schlesner, Matthias Boutros, Paul C. Bowtell, David D. Zhu, Hongtu Getz, Gad Imielinski, Marcin Beroukhim, Rameen Sahinalp, S. Cenk Ji, Yuan Peifer, Martin Markowetz, Florian Mustonen, Ville Yuan, Ke Wang, Wenyi Morris, Quaid D. Spellman, Paul T. Wedge, David C. Van Loo, Peter European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Wellcome Sanger Institute Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany University of Ljubljana Ljubljana Slovenia The Francis Crick Institute London UK Big Data Institute University of Oxford Oxford UK Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Big Data Institute Li Ka Shing Centre University of Oxford Oxford UK University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics Centre for Mathematical Sciences University of Cambridge Cambridge UK Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA Department of Statistics Columbia University New York NY USA Department of Haematology University of Cambridge Cambridge UK University of Leuven Leuven Belgium Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Charlestown MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Dana-Farber Cancer Institute Boston MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Oxford NIHR Biomedical Research Centre Oxford UK Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK University of Toronto Toronto Ontario Canada Vector Institute Toronto Ontario Canada Vector Institute Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada Ontario Institute for Cancer Research Toronto Ontario Canada University of California Los Angeles

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