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arXiv 2024年

作者： Ray, Paul S. Roming, Peter W.A. Argan, Andrea Arzoumanian, Zaven Ballantyne, David R. Bogdanov, Slavko Bonvicini, Valter Brandt, Terri J. Bursa, Michal Cackett, Edward M. Chakrabarty, Deepto Christophersen, Marc Coderre, Kathleen M. De Geronimo, Gianluigi Del Monte, Ettore DeRosa, Alessandra Dietz, Harley R. Evangelista, Yuri Feroci, Marco Ford, Jeremy J. Froning, Cynthia Fryer, Christopher L. Gendreau, Keith C. Goldstein, Adam Gonzalez, Anthony H. Hartmann, Dieter Hernanz, Margarita Hutcheson, Anthony Zand, Jean in't Jenke, Peter Kennea, Jamie Lloyd-Ronning, Nicole M. Maccarone, Thomas J. Maes, Dominic Markwardt, Craig B. Michalska, Malgorzata Okajima, Takashi Patruno, Alessandro Persyn, Steven C. Phillips, Mark L. Prescod-Weinstein, Chanda Redfern, Jillian A. Remillard, Ronald A. Santangelo, Andrea Schwendeman, Carl L. Sleator, Clio Steiner, James Strohmayer, Tod E. Svoboda, Jiri Tenzer, Christoph Thompson, Steven P. Warwick, Richard W. Watts, Anna L. Wilson-Hodge, Colleen A. Wu, Xin Wulf, Eric A. Zampa, Gianluigi Space Science Division U.S. Naval Research Laboratory WashingtonDC20375 United States Southwest Research Institute San AntonioTX78238 United States NASA’s Goddard Space Flight Center GreenbeltMD20771 United States Columbia Astrophysics Laboratory Columbia University New YorkNY10027 United States Trieste TS Italy SRON Netherlands Institute for Space Research Niels Bohrweg 4 CA Leiden2333 Netherlands Astronomical Institute of the Czech Academy of Sciences Boční II 1401 Prague14100 Czech Republic Department of Physics & Astronomy Wayne State University DetroitMI48201 United States Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA02139 United States Department of Nuclear Engineering and Radiological Sciences Univeristy of Michigan Ann ArborMI United States INAF - Istituto di Astrofisica e Planetologia Spaziali Roma00133 Italy Los Alamos National Laboratory Los AlamosNM87545 United States Universities Space Research Association HuntsvilleAL35805 United States Department of Astronomy University of Florida GainesvilleFL32611 United States IEEC Campus UAB Carrer de Can Magrans s/n Bellaterra Barcelona08193 Spain University of Alabama in Huntsville HuntsvilleAL35805 United States Department of Astronomy and Astrophysics The Pennsylvania State University University ParkPA16802 United States Department of Physics & Astronomy Texas Tech University LubbockTX79409 United States Space Research Center Polish Academy of Sciences Warszawa Poland Department of Physics and Astronomy University of New Hampshire DurhamNH03824 United States Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Eberhard Karls Universität Tübingen Germany Anton Pannekoek Institute for Astronomy University of Amsterdam Amsterdam1090GE Netherlands Astrophysics Branch NASA’s Marshall Space Flight Center HuntsvilleAL35812 United States Department of Nuclear and Particle Physics Univ

We give an overview of the science objectives and mission design of the Spectroscopic Time-Resolving Observatory for Broadband Energy X-rays (STROBE-X) observatory, which has been proposed as a NASA probe-class (∼$1.... 详细信息

关键词： NASA

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Transforming heat transfer with thermal metamaterials and devices

arXiv

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arXiv 2020年

作者： Li, Ying Li, Wei Han, Tiancheng Zheng, Xu Li, Jiaxin Li, Baowen Fan, Shanhui Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou310027 China Department of Electrical Engineering Ginzton Laboratory Stanford University StanfordCA94305 United States National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of China Chengdu610054 China Department of Physics University of Colorado BoulderCO80309 United States School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China Paul M. Rady Department of Mechanical Engineering University of Colorado BoulderCO80309 United States

| The demand for sophisticated tools and approaches in heat management and control has triggered fast development of emerging fields including conductive thermal metamaterials, nanophononics, far-field and near-field radiative thermal management, etc. In this review, we cast a unified perspective on the control of heat transfer, based on which the related studies can be considered as complementary paradigms toward manipulating physical parameters and realizing unprecedented phenomena in heat transfer using artificial structures, such as thermal conductivity in heat conduction, thermal emissivity in radiation, and properties related to multi-physical effects. The review is divided into three parts that focus on the three main categories of heat flow control, respectively. Thermal conduction and radiation are emphasized in the first and second parts at both macro- and micro-scale. The third part discusses the efforts to actively introduce heat sources or tune the material parameters with multi-physical effects in both conduction and radiation, including works using thermal convection. We conclude the review with challenges in this research topic and new possibilities about topological thermal effects, heat waves, and quantum thermal effects. Copyright © 2020, The Authors. All rights reserved.

关键词： Metamaterials

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Potent bivalent nanobody constructs that protect against the SARS-CoV-2 XBB variant

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Npj viruses 2025年第1期3卷 19页

作者： Peter J Halfmann Jeong Soo Lee Nikki McArthur Ojas Gupta Yoshihiro Kawaoka Ravi S Kane Department of Pathobiological Sciences Influenza Research Institute School of Veterinary Medicine University of Wisconsin Madison WI USA. School of Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA USA. Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Atlanta GA USA. Department of Pathobiological Sciences Influenza Research Institute School of Veterinary Medicine University of Wisconsin Madison WI USA. yoshihiro.kawaoka@wisc.edu. Division of Virology Department of Microbiology and Immunology Institute of Medical Science University of Tokyo Tokyo Japan. yoshihiro.kawaoka@wisc.edu. The Research Center for Global Viral Diseases National Center for Global Health and Medicine Research Institute Tokyo Japan. yoshihiro.kawaoka@wisc.edu. Pandemic Preparedness Infection and Advanced Research Center (UTOPIA) University of Tokyo Tokyo Japan. yoshihiro.kawaoka@wisc.edu. School of Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA USA. ravi.kane@chbe.gatech.edu. Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Atlanta GA USA. ravi.kane@chbe.gatech.edu. Parker H. Petit Institute for Bioengineering and Bioscience Georgia Institute of Technology Atlanta GA USA. ravi.kane@chbe.gatech.edu.

Most antibody-based therapeutics approved for SARS-CoV-2 treatment have shown greatly reduced neutralization activity against emerging Omicron variants. To target recent Omicron variants, we developed XBB-specific antibody-like therapeutics by screening a yeast surface-displayed single-domain antibody library against the receptor binding domain of the XBB spike protein. Three lead nanobodies, XNb 4.13, XNb 4.14, and XNb 4.15, were selected based on their binding affinity to the XBB spike protein and were fused to a mouse Fc domain. While all three constructs showed sub-nanomolar binding affinities to the XBB S protein, XNb 4.13-Fc and XNb 4.14-Fc also neutralized XBB in vitro. Intraperitoneal injection of XNb 4.13-Fc and XNb 4.14-Fc and intranasal delivery of XNb 4.13-Fc protected transgenic mice from a challenge with XBB virus with a significant reduction in viral lung titers post-infection. These antibody-like constructs identified using yeast surface display have potential as therapeutics that can protect against SARS-CoV-2 XBB variants.

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A Genetic-Algorithm Based Method For Storage Location Assignments In Mobile Rack Warehouses

A Genetic-Algorithm Based Method For Storage Location Assign...

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IEEE Global Communications Conference

作者： Dongwen Zhang Yaqi Si Zhihong Tian Lihua Yin Jing Qiu Xiaojiang Du Department of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen China Department of Computer and Information Sciences Temple University Philadelphia PA USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In recent years, mobile racks or auto robots have been widely used in e-commerce warehouses where storage location assignment is a fundamental problem in the order picking process. The present storage location assignment strategies mainly allocate stocks into various racks according to a specific objective function or the relationships between stocks. These strategies include the random storage assignment strategy (RAS) and the good-clustering storage location assignment strategy (GCAS). In this paper, we first analyze the key factors that affect the efficiency of the order picking system. The results show that the rack-moved-number (RMN) is a significant factor in the order picking process. Then, we propose a genetic-algorithm (GA) based method for the storage location assignment problem which adopts RMN as its fitness function. To find a better solution, we take the natural deduplicated stock sequence of history orders (NDSSHO) as a seed to initialize the population of chromosomes. We also define a specific cross mutation strategy to avoid checking the validity of chromosomes by exchanging selected genes and adjusting new generated chromosomes. At last, we compare the RMN of our proposed method with RAS and GCAS. The experimental results show that the RMN of our proposed method is about 50% less than RAS and GCAS.

关键词： Robots Biological cells Sociology Statistics Genetic algorithms Linear programming History

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The Simons Observatory: Design, integration, and testing of the small aperture telescopes

arXiv

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arXiv 2024年

作者： Galitzki, Nicholas Tsan, Tran Spisak, Jake Randall, Michael Silva-Feaver, Max Seibert, Joseph Lashner, Jacob Adachi, Shunsuke Adkins, Sean M. Alford, Thomas Arnold, Kam Ashton, Peter C. Austermann, Jason E. Baccigalupi, Carlo Bazarko, Andrew Beall, James A. Bhimani, Sanah Bixler, Bryce Coppi, Gabriele Corbett, Lance Crowley, Kevin D. Crowley, Kevin T. Day-Weiss, Samuel Dicker, Simon Dow, Peter N. Duell, Cody J. Duff, Shannon M. Gerras, Remington G. Groh, John C. Gudmundsson, Jon E. Harrington, Kathleen Hasegawa, Masaya Healy, Erin Henderson, Shawn W. Hubmayr, Johannes Iuliano, Jeffrey Johnson, Bradley R. Keating, Brian Keller, Ben Kiuchi, Kenji Kofman, Anna M. Koopman, Brian J. Kusaka, Akito Lee, Adrian T. Lew, Richard A. Lin, Lawrence T. Link, Michael J. Lucas, Tammy J. Lungu, Marius Mangu, Aashrita McMahon, Jeffrey J. Miller, Amber D. Moore, Jenna E. Morshed, Magdy Nakata, Hironobu Nati, Federico Newburgh, Laura B. Nguyen, David V. Niemack, Michael D. Page, Lyman A. Sakaguri, Kana Sakurai, Yuki Rao, Mayuri Sathyanarayana Saunders, Lauren J. Shroyer, Jordan E. Sugiyama, Junna Tajima, Osamu Takeuchi, Atsuto Bua, Refilwe Tanah Teply, Grant Terasaki, Tomoki Ullom, Joel N. Van Lanen, Jeffrey L. Vavagiakis, Eve M. Vissers, Michael R. Walters, Liam Wang, Yuhan Xu, Zhilei Yamada, Kyohei Zheng, Kaiwen Department of Physics University of Texas at Austin AustinTX78712 United States Weinberg Institute for Theoretical Physics Texas Center for Cosmology and Astroparticle Physics AustinTX78712 United States Department of Physics University of California San Diego San DiegoCA92093 United States Wright Laboratory Department of Physics Yale University New HavenCT06520 United States Hakubi Center for Advanced Research Kyoto University Kyoto606-8501 Japan Wave2 Enterprises Kailua-KonaHI96740 United States Department of Physics University of Chicago ChicagoIL60637 United States Department of Astronomy & Astrophysics University of California San Diego San DiegoCA92093 United States SRI International Menlo ParkCA94025 United States Quantum Sensors Division NIST BoulderCO80305 United States via Bonomea 265 TriesteI-34136 Italy via Valerio 2 TriesteI-34127 Italy Via Beirut 2 TriesteI-34151 Italy Joseph Henry Laboratories of Physics Jadwin Hall Princeton University PrincetonNJ08544 United States Department of Physics University of Milano - Bicocca Piazza della Scienza 3 Milano20126 Italy Department of Physics University of California - Berkeley BerkeleyCA94720 United States Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Astronomy & Astrophysics University of California San Diego San DiegoCA92093 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Department of Astronomy University of Virginia CharlottesvilleVA22904 United States Department of Physics Cornell University IthacaNY14853 United States Department of Physics and Astronomy University of Southern California Los AngelesCA90089 United States Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94702 United States The Oskar Klein Centre Department of Physics Stockholm University Stockholm Sweden Science Institute University of Icelan

The Simons Observatory (SO) is a cosmic microwave background (CMB) survey experiment that includes small-aperture telescopes (SATs) observing from an altitude of 5,200 m in the Atacama Desert in Chile. The SO SATs will cover six spectral bands between 27 and 280 GHz to search for primordial B-modes to a sensitivity of σ(r) = 0.002, with quantified systematic errors well below this value. Each SAT is a self-contained cryogenic telescope with a 35◦ field of view, 42 cm diameter optical aperture, 40 K half-wave plate, 1 K refractive optics, and 12, 000 TES detectors. We describe the nominal design of the SATs and present details about the integration and testing for one operating at 93 and 145 GHz. Copyright © 2024, The Authors. All rights reserved.

关键词： Telescopes

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Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Dec, 10.1038/s41467-019-13824-9, 2022)

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NATURE COMMUNICATIONS 2022年第1期13卷 1-1页

作者： Sieverling, Lina Hong, Chen Koser, Sandra D. Ginsbach, Philip Kleinheinz, Kortine Hutter, Barbara Braun, Delia M. Cortes-Ciriano, Isidro Xi, Ruibin Kabbe, Rolf Park, Peter J. Eils, Roland Schlesner, Matthias Brors, Benedikt Rippe, Karsten Jones, David T. W. Feuerbach, Lars Division of Applied Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Faculty of Biosciences Heidelberg University 69120 Heidelberg Germany Division of Applied Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Biosciences Heidelberg University Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Department for Bioinformatics and Functional Genomics Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant 69120 Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Institute of Pharmacy and Molecular Biotechnology and BioQuant Heidelberg University Heidelberg Germany German Cancer Consortium (DKTK) Heidelberg Germany National Center for Tumor Diseases (NCT) Heidelberg Heidelberg Germany Heidelberg Center for Personalized Oncology (DKFZ-HIPO) German Cancer Research Center (DKFZ) Heidelberg Germany German Cancer Consortium (DKTK) German Cancer Research Center (DKFZ) Heidelberg Germany Division of Chromatin Networks German Cancer Research Center (DKFZ) and BioQuant 69120 Heidelberg Germany Department of Biomedical Informatics Harvard Medical School Boston Massachusetts 02115 USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge CB2 1EW UK Ludwig Center at Harvard Medical School Boston Massachusetts 02115 USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge UK Ludwig Center at Harvard Medical School Boston MA USA School of Mathematical Sciences and Center for Statistical Science Peking University Beijing 100871 China Heidelberg University Heidelberg Germany New BIH Digital Health Center Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin Berlin Germany Bioi

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Learning global and local features of normal brain anatomy for unsupervised abnormality detection

arXiv

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arXiv 2020年

作者： Kobayashi, Kazuma Hataya, Ryuichiro Kurose, Yusuke Bolatkan, Amina Miyake, Mototaka Watanabe, Hirokazu Takahashi, Masamichi Itami, Jun Harada, Tatsuya Hamamoto, Ryuji The Division of Molecular Modification and Cancer Biology National Cancer Center Research Institute 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan The Cancer Translational Research Team RIKEN Center for Advanced Intelligence Project 1-4-1 Nihonbashi Chuo-ku Tokyo Japan The Graduate School of Information Science and Technology The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan The Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8904 Japan The Machine Intelligence for Medical Engineering Team RIKEN Center for Advanced Intelligent Project 1-4-1 Nihonbashi Chuo-ku Tokyo103-0027 Japan The Department of Diagnostic Radiology National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan The Department of Neurosurgery and Neuro-Oncology National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan The Department of Radiation Oncology National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan

In real-world clinical practice, overlooking unanticipated findings can result in serious consequences. However, supervised learning, which is the foundation for the current success of deep learning, only encourages models to identify abnormalities that are defined in datasets in advance. Therefore, abnormality detection must be implemented in medical images that are not limited to a specific disease category. In this study, we demonstrate an unsupervised learning framework for pixel-wise abnormality detection in brain magnetic resonance imaging captured from a patient population with metastatic brain tumor. Our concept is as follows: If an image reconstruction network can faithfully reproduce the global features of "normal" anatomy, then the "abnormal" lesions in unseen images can be identified based on the local difference from those reconstructed as "normal" by a discriminative network. Both networks are trained on a dataset comprising only normal images without labels. In addition, we devise a metric to evaluate the anatomical fidelity of the reconstructed images and confirm that the overall detection performance is improved when the image reconstruction network achieves a higher score. For evaluation, clinically significant abnormalities are comprehensively segmented. The results show that the area under the receiver operating characteristics curve values for metastatic brain tumors, extracranial metastatic tumors, postoperative cavities, and structural changes are 0.78, 0.61, 0.91, and 0.60, respectively. Copyright © 2020, The Authors. All rights reserved.

关键词： Brain

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Phase segmentation in atom-probe tomography using deep learning-based edge detection

arXiv

引用

arXiv 2019年

作者： Madireddy, Sandeep Chung, Ding-Wen Loeffler, Troy Sankaranarayanan, Subramanian K.R.S. Seidman, David N. Balaprakash, Prasanna Heinonen, Olle Mathematics and Computer Science Division Argonne National Laboratory LemontIL60439 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Nanoscience and Technology Division Argonne National Laboratory LemontIL60439 United States Northwestern University Center for Atom-Probe Tomography Northwestern University EvanstonIL60208 Materials Science Division Argonne National Laboratory LemontIL60439 United States Northwestern-Argonne Institute of Science and Engineering EvanstonIL60208 United States

Atom-probe tomography (APT) facilitates nano- and atomic-scale characterization and analysis of microstructural features. Specifically, APT is well suited to study the interfacial properties of granular or heterophase systems. Traditionally, the identification of the interface between, for precipitate and matrix phases, in APT data has been obtained either by extracting iso-concentration surfaces based on a user-supplied concentration value or by manually perturbing the concentration value until the iso-concentration surface qualitatively matches the interface. These approaches are subjective, not scalable, and may lead to inconsistencies due to local composition inhomogeneities. We propose a digital image segmentation approach based on deep neural networks that transfer learned knowledge from natural images to automatically segment the data obtained from APT into different phases. This approach not only provides an efficient way to segment the data and extract interfacial properties but does so without the need for expensive interface labeling for training the segmentation model. We consider here a system with a precipitate phase in a matrix and with three different interface modalities-layered, isolated, and interconnected-that are obtained for different relative geometries of the precipitate phase. We demonstrate the accuracy of our segmentation approach through qualitative visualization of the interfaces, as well as through quantitative comparisons with proximity histograms obtained by using more traditional approaches. Copyright © 2019, The Authors. All rights reserved.

关键词： Edge detection

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Early Planet Formation in Embedded Disks (eDisk). XII. Accretion Streamers, Protoplanetary Disk, and Outflow in the Class I Source Oph IRS 63

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Astrophysical Journal 2023年第1期958卷 98-98页

作者： Flores, Christian Ohashi, Nagayoshi Tobin, John J. Jørgensen, Jes K. Takakuwa, Shigehisa Li, Zhi-Yun Lin, Zhe-Yu Daniel van ’t Hoff, Merel L. R. Plunkett, Adele L. Yamato, Yoshihide Sai Koch, Patrick M. Yen, Hsi-Wei Aikawa, Yuri Aso, Yusuke de Gregorio-Monsalvo, Itziar Kido, Miyu Kwon, Woojin Lee, Jeong-Eun Lee, Chang Won Looney, Leslie W. Santamaría-Miranda, Alejandro Sharma, Rajeeb Thieme, Travis J. Williams, Jonathan P. Han, Ilseung Narayanan, Suchitra Lai, Shih-Ping Academia Sinica Institute of Astronomy & Astrophysics 11F of Astronomy-Mathematics Building AS/NTU No. 1 Sec. 4 Roosevelt Rd. Taipei 10617 Taiwan National Radio Astronomy Observatory 520 Edgemont Rd. Charlottesville 22903 VA United States Niels Bohr Institute University of Copenhagen Øster Voldgade 5-7 Copenhagen DK-1350 Denmark Department of Physics and Astronomy Graduate School of Science and Engineering Kagoshima University 1-21-35 Korimoto Kagoshima Kagoshima 890-0065 Japan University of Virginia 530 McCormick Rd. Charlottesville 22904 VA United States Department of Astronomy University of Michigan 1085 S. University Ave. Ann Arbor 48109-1107 MI United States Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Korea Astronomy and Space Science Institute 776 Daedeok-daero Yuseong-gu Daejeon 34055 South Korea European Southern Observatory Alonso de Cordova 3107 Casilla 19 Vitacura Santiago Chile Department of Earth Science Education Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 South Korea SNU Astronomy Research Center Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 South Korea Department of Physics and Astronomy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 South Korea Division of Astronomy and Space Science University of Science and Technology 217 Gajeong-ro Yuseong-gu Daejeon 34113 South Korea Department of Astronomy University of Illinois 1002 West Green St. Urbana 61801 IL United States Institute of Astronomy National Tsing Hua University No. 101 Section 2 Kuang-Fu Rd. Hsinchu 30013 Taiwan Center for Informatics and Computation in Astronomy National Tsing Hua University No. 101 Section 2 Kuang-Fu Rd. Hsinchu 30013 Taiwan Department of Physics National Tsing Hua University No. 101 Section 2 Kuang-Fu Rd. Hsinchu 30013 Taiwan Institute for Astronomy University of Hawai’i at Mānoa 2680 Woodlawn Dr. Hon

We present Atacama Large Millimeter/submillimeter Array (ALMA) observations of the Class I source Oph IRS 63 in the context of the Early Planet Formation in Embedded Disks large program. Our ALMA observations of Oph IRS 63 show a myriad of protostellar features, such as a shell-like bipolar outflow (in ¹²CO), an extended rotating envelope structure (in ¹³CO), a streamer connecting the envelope to the disk (in C¹⁸O), and several small-scale spiral structures seen toward the edge of the dust continuum (in SO). By analyzing the velocity pattern of ¹³CO and C¹⁸O, we measure a protostellar mass of M _⋆ = 0.5 ± 0.2 M _⊙ and confirm the presence of a disk rotating at almost Keplerian velocity that extends up to ∼260 au. These calculations also show that the gaseous disk is about four times larger than the dust disk, which could indicate dust evolution and radial drift. Furthermore, we model the C¹⁸O streamer and SO spiral structures as features originating from an infalling rotating structure that continuously feeds the young protostellar disk. We compute an envelope-to-disk mass infall rate of ∼10⁻⁶ M _⊙ yr⁻¹ and compare it to the disk-to-star mass accretion rate of ∼10⁻⁸ M _⊙ yr⁻¹, from which we infer that the protostellar disk is in a mass buildup phase. At the current mass infall rate, we speculate that soon the disk will become too massive to be gravitationally stable. © 2023. The Author(s). Published by the American Astronomical Society.

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Mixing Properties in Coded Systems 1

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70th Anniversary of Welington de Melo held at IMPA, 2016

作者： Epperlein, Jeremias Kwietniak, Dominik Oprocha, Piotr Institute for Analysis and Center for Dynamics Technische Universität Dresden Zellescher Weg 12-14 Dresden01069 Germany Faculty of Mathematics and Computer Science Jagiellonian University in Kraków ul. Lojasiewicza 6 Kraków30-348 Poland Institute of Mathematics Federal University of Rio de Janeiro Cidade Universitaria - Ilha do Fundão Rio de Janeiro21945-909 Brazil Faculty of Applied Mathematics AGH University of Science and Technology al. A. Mickiewicza 30 Kraków30-059 Poland National Supercomputing Centre IT4Innovations Division of the University of Ostrava Institute for Research and Applications of Fuzzy Modeling 30. dubna 22 Ostrava70103 Czech Republic

ISBN: (数字)9783030168339

ISBN: (纸本)9783030168322

We show that topological mixing, weak mixing, the strong property P, and total transitivity are equivalent for coded systems (shift spaces presented by labeling the edges of a countable irreducible graphs by symbols from a finite alphabet). We provide an example of a topologically mixing coded system which cannot be approximated by any increasing sequence of topologically mixing shifts of finite type, has only periodic points of even period and each set of its generators consists of blocks of even length. We prove that such an example cannot be a synchronized system. © Springer Nature Switzerland AG 2019.

关键词： Mixing

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