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A Monte Carlo Simulation of Radiation Damage of SiC and Nb Using JA-IPU Code

Journal of Energy and Power Engineering 2015年第11期9卷 967-975页

作者： Nagendra Singh Raghaw Vinod Kumar Ambika Tundwal Yury Korovin Jindrich Adam University School of Basic and Applied Sciences GGS Indraprastha University New Delhi 110078 India HENPL (High Energy Nuclear Physics Laboratory) (ADS Program) .University of Rajasthan Jaipur 302004 India INPE (Institute for Nuclear Power Engineering) Kaluga Region Obninsk 249020 Russia Laboratory for Nuclear Problem Joint Institute of Nuclear Research Dubna 141980 Russia

MC （Monte Carlo） simulation code, JA-IPU is used to study radiation damage of SiC irradiated to spallation neutron and AmBe neutron spectra. The code is based on the major physical processes of radiation damage on incorporation of atomic collision cascade and limited to 10 MeV neutron energy. A phenomenological relation for radiation swelling is also derived. Based on the calculation of swelling, DPA （displacement per atom）, defect production efficiency and effective threshold energy, Efff from the data of MC simulation, SiC is inferred to be a highly radiation resistant material when compared with Nb and Ni metals which are used in composition of several reactor steels. Experimental results of hill-hock density measured using AFM （atomic force microscopy）, also confirm radiation resistant behavior of SiC.

关键词： Monte-Carlo simulation radiation resistant material DPA effective damage threshold energy.

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Asymmetries between wavenumber spectra of along- and across-track velocity from tandem mission altimetry

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Journal of Physical Oceanography 2014年第4期44卷 1151-1160页

作者： Wortham, Cimarron Callies, Jörn Scharffenberg, Martin G. Applied Physics Laboratory University of Washington Seattle WA United States Massachusetts Institute of Technology/WHOI Joint Program in Oceanography Cambridge MA United States Institut für Meereskunde Universität Hamburg Hamburg Germany

Satellite altimetry has proven to be one of the most useful oceanographic datasets, providing a continuous, near-global record of surface geostrophic currents, among other uses. One limitation of observations from a single satellite is the difficulty of estimating the full geostrophic velocity field. The 3-yr Jason-1-Ocean Topography Experiment (TOPEX)/Poseidon tandem mission, with two satellites flying parallel tracks, promised to overcome this limitation. However, the wide track separation severely limits the tandem mission's resolution and reduces the observed velocity variance. In this paper, the effective filter imposed by the track separation is discussed and two important consequences for any application of the tandem mission velocities are explained. First, while across-track velocity is simply low-pass filtered, along-track velocity is attenuated also at wavelengths much longer than the track separation. Second, velocity wavenumber spectral slopes are artificially steepened by a factor of k-2 at wavelengths smaller than the track separation. Knowledge of the effective filter has several applications, including reconstruction of the full velocity spectrum from the heavily filtered ***, the hypothesis that the tandem mission flow field is horizontally nondivergent and isotropic is tested. The effective filter is also used to predict the fraction of the eddy kinetic energy (EKE) that is captured for a given track separation. The EKE captured falls off rapidly for track separations greater than about 20 km. © 2014 American Meteorological Society.

关键词： Velocity

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Author Correction: Discovery of stimulation-responsive immune enhancers with CRISPR activation

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Nature 2018年第7715期559卷 E13页

作者： Dimitre R Simeonov Benjamin G Gowen Mandy Boontanrart Theodore L Roth John D Gagnon Maxwell R Mumbach Ansuman T Satpathy Youjin Lee Nicolas L Bray Alice Y Chan Dmytro S Lituiev Michelle L Nguyen Rachel E Gate Meena Subramaniam Zhongmei Li Jonathan M Woo Therese Mitros Graham J Ray Gemma L Curie Nicki Naddaf Julia S Chu Hong Ma Eric Boyer Frederic Van Gool Hailiang Huang Ruize Liu Victoria R Tobin Kathrin Schumann Mark J Daly Kyle K Farh K Mark Ansel Chun J Ye William J Greenleaf Mark S Anderson Jeffrey A Bluestone Howard Y Chang Jacob E Corn Alexander Marson Biomedical Sciences Graduate Program University of California San Francisco California 94143 USA. Department of Microbiology and Immunology University of California San Francisco California 94143 USA. Diabetes Center University of California San Francisco California 94143 USA. Innovative Genomics Institute University of California Berkeley California 94720 USA. Department of Molecular and Cell Biology University of California Berkeley Berkeley California 94720 USA. Sandler Asthma Basic Research Center University of California San Francisco California 94143 USA. Center for Personal Dynamic Regulomes Stanford University School of Medicine Stanford California 94305 USA. Program in Epithelial Biology Stanford University School of Medicine Stanford California 94305 USA. Department of Genetics Stanford University School of Medicine Stanford California 94305 USA. Department of Pediatrics University of California San Francisco California 94143 USA. Department of Epidemiology and Biostatistics Department of Bioengineering and Therapeutic Sciences Institute for Human Genetics (IHG) University of California San Francisco California 94143 USA. Biological and Medical Informatics Graduate Program University of California San Francisco California 94158 USA. Broad Institute of MIT and Harvard Cambridge Massachusetts 02142 USA. Analytic and Translational Genetics Unit Massachusetts General Hospital Harvard Medical School Boston Massachusetts 02114 USA. Illumina Inc. 5200 Illumina Way San Diego California 92122 USA. Department of Applied Physics Stanford University Stanford California 94025 USA. Chan Zuckerberg Biohub San Francisco California 94158 USA. Department of Medicine University of California San Francisco California 94143 USA. Innovative Genomics Institute University of California Berkeley California 94720 USA. jcorn@berkeley.edu. Department of Molecular and Cell Biology University of California Berkeley Berkeley Californi

In this Letter, analysis of steady-state regulatory T (Treg) cell percentages from Il2ra enhancer deletion (EDEL) and wild-type (WT) mice revealed no differences between them (Extended Data Fig. 9d). This analysis included two mice whose genotypes were incorrectly assigned. Even after correction of the genotypes, no significant differences in Treg cell percentages were seen when data across experimental cohorts were averaged (as was done in Extended Data Fig. 9d). However, if we normalize the corrected data to account for variation among experimental cohorts, a subtle decrease in EDEL Treg cell percentages is revealed and, using the corrected and normalized data, we have redrawn Extended Data Fig. 9d in Supplementary Fig. 1. The Supplementary Information to this Amendment contains the corrected and reanalysed Extended Data Fig. 9d. The sentence "This enhancer deletion (EDEL) strain also had no obvious T cell phenotypes at steady state (Extended Data Fig. 9)." should read: "This enhancer deletion (EDEL) strain had a small decrease in the percentage of Treg cells (Extended Data Fig. 9).". This error does not affect any of the main figures in the Letter or the data from mice with the human autoimmune-associated single nucleotide polymorphism (SNP) knocked in or with a 12-base-pair deletion at the site (12DEL). In addition, we stated in the Methods that we observed consistent immunophenotypes of EDEL mice across three founders, but in fact, we observed consistent phenotypes in mice from two founders. This does not change any of our conclusions and the original Letter has not been corrected.

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Author Correction: π-HuB: the proteomic navigator of the human body

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Nature 2025年第8046期637卷 E22页

作者： Fuchu He Ruedi Aebersold Mark S Baker Xiuwu Bian Xiaochen Bo Daniel W Chan Cheng Chang Luonan Chen Xiangmei Chen Yu-Ju Chen Heping Cheng Ben C Collins Fernando Corrales Jürgen Cox Weinan E Jennifer E Van Eyk Jia Fan Pouya Faridi Daniel Figeys George Fu Gao Wen Gao Zu-Hua Gao Keisuke Goda Wilson Wen Bin Goh Dongfeng Gu Changjiang Guo Tiannan Guo Yuezhong He Albert J R Heck Henning Hermjakob Tony Hunter Narayanan Gopalakrishna Iyer Ying Jiang Connie R Jimenez Lokesh Joshi Neil L Kelleher Ming Li Yang Li Qingsong Lin Cui Hua Liu Fan Liu Guang-Hui Liu Yansheng Liu Zhihua Liu Teck Yew Low Ben Lu Matthias Mann Anming Meng Robert L Moritz Edouard Nice Guang Ning Gilbert S Omenn Christopher M Overall Giuseppe Palmisano Yaojin Peng Charles Pineau Terence Chuen Wai Poon Anthony W Purcell Jie Qiao Roger R Reddel Phillip J Robinson Paola Roncada Chris Sander Jiahao Sha Erwei Song Sanjeeva Srivastava Aihua Sun Siu Kwan Sze Chao Tang Liujun Tang Ruijun Tian Juan Antonio Vizcaíno Chanjuan Wang Chen Wang Xiaowen Wang Xinxing Wang Yan Wang Tobias Weiss Mathias Wilhelm Robert Winkler Bernd Wollscheid Limsoon Wong Linhai Xie Wei Xie Tao Xu Tianhao Xu Liying Yan Jing Yang Xiao Yang John Yates Tao Yun Qiwei Zhai Bing Zhang Hui Zhang Lihua Zhang Lingqiang Zhang Pingwen Zhang Yukui Zhang Yu Zi Zheng Qing Zhong Yunping Zhu State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing Institute of Lifeomics Beijing China. hefc@***. International Academy of Phronesis Medicine (Guangdong) Guangdong China. hefc@***. Department of Biology Institute of Molecular Systems Biology ETH Zurich Zurich Switzerland. aebersold@imsb.biol.ethz.ch. Macquarie Medical School Macquarie University Sydney New South Wales Australia. Institute of Pathology and Southwest Cancer Center Southwest Hospital Third Military Medical University (Army Medical University) and Key Laboratory of Tumor Immunopathology Ministry of Education of China Chongqing China. Institute of Health Service and Transfusion Medicine Beijing China. Department of Pathology and The Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University Baltimore MD USA. State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing Institute of Lifeomics Beijing China. Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai China. Department of Nephrology First Medical Center of Chinese PLA General Hospital Nephrology Institute of the Chinese People's Liberation Army State Key Laboratory of Kidney Diseases National Clinical Research Center for Kidney Diseases Beijing Key Laboratory of Kidney Disease Research Beijing China. Institute of Chemistry Academia Sinica Taipei China. National Biomedical Imaging Center State Key Laboratory of Membrane Biology Institute of Molecular Medicine Peking-Tsinghua Center for Life Sciences College of Future Technology Peking University Beijing China. School of Biological Sciences Queen's University of Belfast Belfast UK. Functional Proteomics Laboratory Centro Nacional de Biotecnología-CSIC Madrid Spain. Computational Systems Biochemistry Research Group Ma

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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PAPR reduction in an OFDM system using recursive clipping and filtering technique

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WSEAS Transactions on Communications 2014年第1期13卷 291-297页

作者： Islam, Anamul Ahmed, N. Ahamed, Nizam Uddin Rahman, Matiur Aljunid, S.A. Dept. of Applied Physics and Electronic Engineering University of Rajshahi Bangladesh School of Computer and Communication Engineering University Malaysia Perlis Malaysia Biomedical Engineering Program Mechatronic Engineering University Malaysia Perlis Malaysia College of Computer Science and Information System Najran University Saudi Arabia

An Orthogonal Frequency Division Multiplexing (OFDM) scheme is expected as an efficient technique for next generation wireless communications. However, high Peak to Average Power Ration (PAPR) of OFDM system is the main drawback which degrades the transmitter power efficiency causes poor performance of the system. To reduce PAPR of OFDM signal, several works on clipping technique have been proposed. This paper is incorporated the improvement of the PAPR and Bit Error Rate (BER) performance using clipping method. It has been shown from the result that by employing the recursive clipping and filtering, 11.45 dB of PAPR of original OFDM signal is reduced down to 4.77 dB. Hence, BER is also increased significantly. This research is carried out through MATLAB simulation and gradually measured the effect of PAPR on BER under AWGN channel for 16QAM scheme with 256 points OFDM. Moreover, it is studied the effect of OFDM signal while passing through High Power Amplifier (HPA). Finally, the PAPR reduction technique such as recursive clipping and filtering (RCF) is implemented.

关键词： Orthogonal frequency division multiplexing

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Generalized Multiphoton Quantum Interference

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Physical Review X 2015年第4期5卷 041015-041015页

作者： Max Tillmann Si-Hui Tan Sarah E. Stoeckl Barry C. Sanders Hubert de Guise René Heilmann Stefan Nolte Alexander Szameit Philip Walther Faculty of Physics University of Vienna Boltzmanngasse 5 A-1090 Vienna Austria Singapore University of Technology and Design 20 Dover Drive 138682 Singapore Institute for Quantum Science and Technology University of Calgary Calgary Alberta T2N 1N4 Canada Program in Quantum Information Science Canadian Institute for Advanced Research Toronto Ontario M5G 1Z8 Canada Department of Physics Lakehead University Thunder Bay Ontario P7B 5E1 Canada Institute of Applied Physics Abbe Center of Photonics Friedrich-Schiller Universität Jena Max-Wien-Platz 1 D-07743 Jena Germany

Nonclassical interference of photons lies at the heart of optical quantum information processing. Here, we exploit tunable distinguishability to reveal the full spectrum of multiphoton nonclassical interference. We investigate this in theory and experiment by controlling the delay times of three photons injected into an integrated interferometric network. We derive the entire coincidence landscape and identify transition matrix immanants as ideally suited functions to describe the generalized case of input photons with arbitrary distinguishability. We introduce a compact description by utilizing a natural basis that decouples the input state from the interferometric network, thereby providing a useful tool for even larger photon numbers.

关键词： Optics Quantum information Quantum physics

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Hollow Nanotubes of N‐Doped Carbon on CoS

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Angewandte Chemie 2016年第51期128卷

作者： Yuming Chen Xiaoyan Li Kyusung Park Limin Zhou Haitao Huang Yiu‐Wing Mai John B. Goodenough Department of Applied Physics The Hong Kong Polytechnic University Hong Kong China Texas Materials Institute and Materials Science and Engineering Program The University of Texas at Austin Austin TX 78712 USA Department of Mechanical Engineering The Hong Kong Polytechnic University Hong Kong China Centre for Advanced Materials Technology (CAMT) School of Aerospace Mechanical and Mechatronics Engineering J07 The University of Sydney NSW 2006 Australia

Low‐cost, single‐step synthesis of hollow nanotubes of N‐doped carbon deposited on CoS is enabled by the simultaneous use of three functionalities of polyacrylonitrite (PAN) nanofibers: 1) a substrate for loading active materials, 2) a sacrificial template for creating hollow tubular structures, and 3) a precursor for in situ nitrogen doping. The N‐doped carbon in hollow tubes of CoS provides a high‐capacity anode of long cycle life for a rechargeable Li‐ion or Na‐ion battery cell that undergoes the conversion reaction 2 A + +2 e − +CoS →Co+A 2 S with A=Li or Na.

关键词： Anodenmaterialien Batterien Cobalt N-dotierter Kohlenstoff Nanoröhren

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Control of domain wall position in L-shaped Fe4N negatively spin polarized ferromagnetic nanowire

Control of domain wall position in L-shaped Fe4N negatively ...

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International Conference on Magnetics (INTERMAG)

作者： T. Gushi K. Ito S. Honda Y. Yasutomi S. Higashikozono K. Toko H. Oosato Y. Sugimoto K. Asakawa N. Ota T. Suemasu Institute of Applied Physics University of Tsukuba Tsukuba Japan Japan Society for the Promotion of Science (JSPS) Chiyoda Japan Tsukuba Nanotechnology Human Resource Development Program University of Tsukuba Tsukuba Japan Tsukuba Daigaku Tsukuba Ibaraki JP NIMS Nanofabrication Platform National Institute for Material Science Tsukuba Japan Busshitsu Zairyo Kenkyu Kiko Tsukuba Ibaraki JP

Current-driven magnetic domain wall (DW) motion has been extensively studied not only theoretically, but also experimentally. The DW motion is induced by spin-transfer torque, that is, the transfer of spin angular momentum from conduction electrons to localized electrons. The velocity of DW motion is proportional to the spin polarization [P a = (σ ↑ - σ ↓ )/(σ ↑ + σ ↓ )] of electrical conductivity (σ) and its direction is the same as electron current when P σ > 0. The reverse DW motion is thus expected in ferromagnetic materials with negative spin polarization (P σ σ material and a negative P σ material, are of fundamental interest. We have paid a lot of attention to ferromagnetic Fe 4 N epitaxial films for application to spintronics devices because it is theoretically expected to have a large negative spin polarization (P σ = -1.0). Very recently, we confirmed its negative spin polarization by experiment.

关键词： Wires Aluminum oxide Torque Epitaxial growth X-ray scattering Nanotechnology

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