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Catalytic ativities of single-atom catalysts for CO oxidation: Pt_1/FeO_x vs. Fe_1/FeO_x

Chinese Journal of Catalysis 2017年第9期38卷 1566-1573页

作者： Jinxia Liang Xiaofeng Yang Congqiao Xu Tao Zhang Jun Li Guizhou Provincial Key Laboratory of Computational Nano‐Material Science Guizhou Synergetic Innovation Center of Scientific Big Data for Advanced Manufacturing Technology Guizhou Education University Guiyang 550018 Guizhou China Department of Chemistry and Key Laboratory of Organic Optoelectronics & Molecular Engineering of Ministry of Education Tsinghua University Beijing 100084 China State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 Liaoning China

An FeOx‐based Pt single‐atom catalyst(SAC),Pt1/FeOx,has stimulated significant recent interest owing to its extraordinary activity toward CO *** concept of SAC has also been successfully extended to other FeOx supported transition metal systems both experimentally and ***,the FeOx substrate itself(denoted by Fe1/FeOx following the same nomenclature of Pt1/FeOx)as a typical transition metal oxide possesses a very low catalytic activity toward CO oxidation,although it can be viewed as Fe1/FeOx ***,to understand the catalytic mechanism of FeOx‐based SACs for CO oxidation,we have performed density functional theory calculations on Pt1/FeOx and Fe1/FeOx for CO oxidation to address the differences between these two SACs in terms of the catalytic mechanism of CO oxidation and the chemical behavior of the *** calculation results indicated that the catalytic cycle of Fe1/FeOx is much more difficult to accomplish than that of SAC Pt1/FeOx because of a high activation barrier(1.09eV)for regeneration of the oxygen vacancy formed when the second CO2molecule desorbs from the ***,density of states and Bader charge analysis revealed differences in the catalytic performance for CO oxidation by the SACs Fe1/FeOx and Pt1/*** work provides insights into the fundamental interactions between the single‐atom Pt1and FeOx substrate,and the exceptional catalytic performance of this system for CO oxidation.

关键词： Single‐atom catalyst FeOx substrate Density functional theory Heterogeneous catalysis CO oxidation

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Enhancement and Analysis of Conversational Speech: JSALT 2017

Enhancement and Analysis of Conversational Speech: JSALT 201...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Neville Ryanta Elika Bergelson Kenneth Church Alejandrina Cristia Jun Du Sriram Ganapathy Sanjeev Khudanpur Diana Kowalski Mahesh Krishnamoorthy Rajat Kulshreshta Mark Liberman Yu-Ding Lu Matthew Maciejewski Florian Metze Jan Profant Lei Sun Yu Tsao Zhou Yu Linguistic Data Consortium University of Pennsylvania Philadelphia PA USA Department of Psychology and Neuroscience Duke University Durham NC USA IBM Yorktown Heights NY USA Laboratoire de Sciences Cognitives et Psycholinguistique ENS Paris France University of Science and Technology of China Hefei China Electrical Engineering Department Indian Institute of Science Bangalore India Center for Language and Speech Processing Johns Hopkins University Baltimore MD USA University of Illinois at Urbana-Champaign Champaign IL USA Apple Cupertino CA USA Language Technologies Institute Carnegie Mellon University Pittsburgh PA USA Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Brno University of Technology Brno Czech Republic Department of Computer Science University of California Davis Davis CA USA

ISBN: (纸本)9781538646595

Automatic speech recognition is more and more widely and effectively used. Nevertheless, in some automatic speech analysis tasks the state of the art is surprisingly poor. One of these is "diarization", the task of determining who spoke when. Diarization is key to processing meeting audio and clinical interviews, extended recordings such as police body cam or child language acquisition data, and any other speech data involving multiple speakers whose voices are not cleanly separated into individual channels. Overlapping speech, environmental noise and suboptimal recording techniques make the problem harder. During the JSALT Summer Workshop at CMU in 2017, an international team of researchers worked on several aspects of this problem, including calibration of the state of the art, detection of overlaps, enhancement of noisy recordings, and classification of shorter speech segments. This paper sketches the workshop's results, and announces plans for a "Diarization Challenge" to encourage further progress.

关键词： diarization overlap detection speech enhancement automatic speech recognition Speech recognition Speech enhancement Speech state of the art monuron Recordings

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Temporal inactivation enhances robustness in an evolving system

arXiv

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arXiv 2018年

作者： Ogushi, Fumiko Kertész, János Kaski, Kimmo Shimada, Takashi Kyoto University Institute for Advanced Study Kyoto University Yoshida Ushinomiya-cho Sakyo-ku Kyoto606-8501 Japan Center for Materials research by Information Integration National Institute for Materials Science 1-2-1 Sengen Tsukuba Ibaraki305-0047 Japan Department of Network and Data Science Central European University Budapest1051 Hungary Institute of Physics Budapest University of Technology and Economics Budapest1111 Hungary Department of Computer Science Aalto University School of Science P.O. Box 15500 Espoo Finland Alan Turing Institute British Library 96 Euston Road LondonNW1 2DB United Kingdom Mathematics and Informatics Center University of Tokyo Department of Systems Innovation Graduate School of Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

We study the robustness of an evolving system that is driven by successive inclusions of new elements or constituents with m random interactions to older ones. Each constitutive element in the model stays either active or is temporarily inactivated depending upon the influence of the other active elements. If the time spent by an element in the inactivated state reaches TW, it gets extinct. The phase diagram of this dynamic model as a function of m and TW is investigated by numerical and analytical methods and as a result both growing (robust) as well as non-growing (volatile) phases are identified. It is also found that larger time limit TW enhances the system's robustness against the inclusion of new elements, mainly due to the system's increased ability to reject "falling-together" type attacks. Our results suggest that the ability of an element to survive in an unfavorable situation for a while, either as a minority or in a dormant state, could improve the robustness of the entire system. Copyright © 2018, The Authors. All rights reserved.

关键词： Numerical methods

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Smart Windows: 3D Printed Smart Windows for Adaptive Solar Modulations (Advanced Optical Materials 11/2020)

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Advanced Optical Materials 2020年第11期8卷

作者： Chengzhi Zhou Dan Li Yutong Tan Yujie Ke Shancheng Wang Yang Zhou Guowei Liu Shaofan Wu Jinqing Peng Anran Li Shuzhou Li Siew Hua Chan Shlomo Magdassi Yi Long School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore School of Mechanical and Aerospace Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore College of Civil Engineering Hunan University Changsha Hunan 410082 P. R. China Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou Fujian 350002 P. R. China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Chemistry Beihang University 37 Xueyuan Road Haidian District Beijing 100083 P. R. China Institute of Chemistry Edmond J. Safra Campus The Hebrew University of Jerusalem Jerusalem 919040 Israel Singapore-HUJ Alliance for Research and Enterprise (SHARE) Nanomaterials for Energy and Energy Water Nexus (NEW) Campus for Research Excellence and Technological Enterprise (CREATE) 1 Create Way Singapore 138602 Singapore Sino-Singapore International Joint Research Institute (SSIJRI) Guangzhou 510000 P. R. China

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A Multiobjective Approach to Multi-microgrid System Design

arXiv

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arXiv 2017年

作者： Chiu, Wei-Yu Sun, Hongjian Poor, H. Vincent Department of Electrical Engineering and Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan32003 Taiwan School of Engineering and Computing Science Durham University DH1 3LE United Kingdom Department of Electrical Engineering Princeton University PrincetonNJ08544 United States

—The main goal of this study is to design a market operator (MO) and a distribution network operator (DNO) for a network of microgrids in consideration of multiple objectives. This is a high-level design and only those microgrids with nondispatchable renewable energy sources are considered. For a power grid in the network, the net value derived from providing power to the network must be maximized. For a microgrid, it is desirable to maximize the net gain derived from consuming the received power. Finally, for an independent system operator, stored energy levels at microgrids must be maintained as close as possible to storage capacity to secure network emergency operation. To achieve these objectives, a multiobjective approach is proposed: the price signal generated by the MO and power distributed by the DNO are assigned based on a Pareto optimal solution of a multiobjective optimization problem. By using the proposed approach, a fair scheme that does not advantage one particular objective can be attained. Simulations are provided to validate the proposed methodology. Copyright © 2017, The Authors. All rights reserved.

关键词： Smart power grids

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Path ω-automaton

引用

Journal of Information Hiding and Multimedia Signal Processing 2017年第3期8卷 640-648页

作者： Jiang, Hua Zou, Fumin Lin, Rongde Li, Lingxiang Key Lab of Granular Computing Minnan Normal University ZhangzhouFujian China Beidou Navigation and Smart Traffic Innovation Center of Fujian Province FuzhouFujian China School of Mathematical Science Huaqiao university QuanzhouFujian China Fujian Provincial Key Laboratory of Big Data Mining and Applications FuzhouFujian China School of Electronics and Information Engineering Hunan University of Science and Engineering YongzhouHunan China

Automata theory is an important branch of theoretical computer science. ω-automaton is an important part of automata theory. The judgment standard for the equivalence of two automata is the equivalence of their acceptance language. Acceptance conditions for automata are expressed with state set. This paper tries to use path to express acceptance conditions for ω-automaton that is convenient for judging the automatons equivalence property and transforming between different types of automata. With the help of Path ω-automaton, Muller automaton is transformed into Büchi automaton. Compared with the existing algorithm, the state scale of Büchi automaton has been reduced and the problem of state space explosion has been relieved. The research findings in this paper contribute to enrich the existing ω-automaton theory and provide a new idea for ω-automaton theory and application research. © 2017.

关键词： Automata theory

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Swarm Intelligence Algorithm Inspired by Route Choice Behavior

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Journal of Bionic engineering 2016年第4期13卷 669-678页

作者： Daxin Tian Junjie Hu Zhengguo Sheng Yunpeng Wang Jianming Ma Jian Wang Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China School of Transportation Science and Engineering Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing 1 O0191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing 210096 China Department of Engineering and Design University of Sussex Brighton BN1 9RH UK The Texas Department of Transportation Austin TX78750 USA College of Computer Science and Technology Jilin University Changchun 130012 China

Travelers＇ route choice behavior, a dynamical learning process based on their own experience, traffic information, and influence of others, is a type of cooperation optimization and a constant day-to-day evolutionary process. Travelers adjust their route choices to choose the best route, minimizing travel time and distance, or maximizing expressway use. Because route choice behavior is based on human beings, the most intelligent animals in the world, this swarm behavior is expected to in- corporate more intelligence. Unlike existing research in route choice behavior, the influence of other travelers is considered for updating route choices on account of the reality, which makes the route choice behavior from individual to swarm. Anew swarm intelligence algorithm inspired by travelers＇ route choice behavior for solving mathematical optimization problems is introduced in this paper. A comparison of the results of experiments with those of the classical global Particle Swarm Optimization （PSO） algorithm demonstrates the efficacy of the Route Choice Behavior Algorithm （RCBA）. The novel algorithm provides a new approach to solving complex problems and new avenues for the study of route choice behavior.

关键词： swarm intelligence route choice behavior particle swarm optimization mathematical optimization

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Penetrance of neurodevelopmental copy number variants is associated with variations in cortical morphology

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Biological psychiatry. Cognitive neuroscience and neuroimaging 2025年

作者： Ana I Silva Ida E Sønderby George Kirov Abdel Abdellaoui Ingrid Agartz David Ames Nicola J Armstrong Eric Artiges Tobias Banaschewski Anne S Bassett Carrie E Bearden John Blangero Rune Boen Dorret I Boomsma Robin Bülow Nancy J Butcher Vince Calhoun Linda E Campbell Eva W C Chow Simone Ciufolini Michael C Craig Benedicto Crespo-Farroco Adam C Cunningham Shareefa Dalvie Eileen Daly Paola Dazzan Eco J C de Geus Greig I de Zubicaray Joanne L Doherty Gary Donohoe Mark Drakesmith Thomas Espeseth Vincent Frouin Hugh Garavan David C Glahn Naomi J Goodrich-Hunsaker Penny A Gowland Hans J Grabe Antoine Grigis Maria Gudbrandsen Boris A Gutman Jan Haavik Asta K Håberg Jeremy Hall Andreas Heinz Sarah Hohmann Jouke-Jan Hottenga Sébastien Jacquemont Neda Jahanshad Rachel K Jonas Derek K Jones Erik G Jönsson Sanne Koops Kuldeep Kumar Stephanie Le Hellard Herve Lemaitre Jingyu Liu Astri J Lundervold Jean-Luc Martinot Karen A Mather Donna M McDonald-McGinn Katie L McMahon Allan F McRae Sarah E Medland Clara A Moreau Kieran C Murphy Declan Murphy Robin M Murray Frauke Nees Michael J Owen Marie-Laure Paillère Martinot Diimitri Papadopoulos Orfanos Tomas Paus Luise Poustka Tiago Reis Marques David R Roalf Perminder S Sachdev Freda Scheffler J Eric Schmitt Gunter Schumann Vidar M Steen Dan J Stein Lachlan T Strike Alexander Teumer Anbupalam Thalamuthu Sophia I Thomopoulos Diana Tordesillas-Gutiérrez Julian N Trollor Anne Uhlmann Ariana Vajdi Dennis van 't Ent Therese van Amelsvoort Marianne B M van den Bree Dennis van der Meer Javier Vázquez-Bourgon Julio E Villalón-Reina Uwe Völker Henry Völzke Jacob A S Vorstman Lars T Westlye Nigel Williams Katharina Wittfeld Margaret J Wright Paul M Thompson Ole A Andreassen David E J Linden School for Mental Health and Neuroscience Department of Psychiatry and Neuropsychology Faculty of Health Medicine and Life Sciences Maastricht University Maastricht The Netherlands Neuroscience and Mental Health Innovation Institute Cardiff University Cardiff United Kingdom Center for Magnetic Resonance Research Department of Radiology University of Minnesota Minneapolis MN USA. Electronic address: silvaai@um.edu. Centre for Precision Psychiatry Institute of Clinical Medicine University of Oslo Oslo Norway Department of Medical Genetics Oslo University Hospital Oslo Norway KG Jebsen Centre for Neurodevelopmental Disorders University of Oslo Oslo Norway. Division of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff United Kingdom Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff United Kingdom. Department of Psychiatry Amsterdam UMC University of Amsterdam Amsterdam the Netherlands. Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine University of Oslo Oslo Norway Centre for Psychiatry Research Department of Clinical Neuroscience Karolinska Institutet & Stockholm Health Care Services Stockholm Region Stockholm Sweden Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway. University of Melbourne Academic Unit for Psychiatry of Old Age Kew Victoria Australia. Mathematics and Statistics Curtin University Perth WA Australia. Institut National de la Santé et de la Recherche Médicale INSERM U1299 "Trajectoires développementales et psychiatrie" Université Paris-Saclay Ecole Normale supérieure Paris-Saclay CNRS Centre Borelli Gif-sur-Yvette France Psychiatry Department EPS Barthélémy Durand Etampes Île-de-France France. Department of Child and Adolescent Psychiatry and Psychotherapy Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany. Clinical Genetics Research Program Centre for

BACKGROUND:Copy number variants (CNVs) increase risk for neurodevelopmental conditions. The neurobiological mechanisms linking these high-risk genetic variants to clinical phenotypes are largely unknown. An important question is whether brain abnormalities in individuals carrying CNVs are associated with their degree of penetrance. METHODS:We investigated if increased CNV-penetrance for schizophrenia and other developmental disorders was associated with variations in cortical and subcortical morphology. We pooled T1-weighted brain magnetic resonance imaging and genetic data from 22 cohorts from the ENIGMA-CNV consortium. In the main analyses, we included 9,268 individuals (aged 7 to 90 years, 54% females), from which we identified 398 carriers of 36 neurodevelopmental CNVs at 20 distinct loci. A secondary analysis was performed including additional neuroimaging data from the ENIGMA-22q consortium, including 274 carriers of the 22q11.2 deletion and 291 non-carriers. CNV-penetrance was estimated through penetrance scores that were previously generated from large cohorts of patients and controls. These scores represent the probability risk to develop either schizophrenia or other developmental disorders (including developmental delay, autism spectrum disorder and congenital malformations). RESULTS:For both schizophrenia and developmental disorders, increased penetrance scores were associated with lower surface area in the cerebral cortex and lower intracranial volume. For both conditions, associations between CNV-penetrance scores and cortical surface area were strongest in regions of the occipital lobes, specifically in the cuneus and lingual gyrus. CONCLUSIONS:Our findings link global and regional cortical morphometric features with CNV-penetrance, providing new insights into neurobiological mechanisms of genetic risk for schizophrenia and other developmental disorders.

关键词： autism neuroimaging psychiatric disorders schizophrenia structural imaging

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YZU-NLP team at SemEval-2016 Task 4: Ordinal Sentiment classification using a recurrent convolutional network 10

YZU-NLP team at SemEval-2016 Task 4: Ordinal Sentiment class...

引用

10th International Workshop on Semantic Evaluation, SemEval 2016

作者： He, Yunchao Yu, Liang-Chih Yang, Chin-Sheng Lai, K. Robert Liu, Weiyi Department of Information Management Yuan Ze University Taiwan Department of Computer Science and Engineering Yuan Ze University Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taiwan School of Information Science and Engineering Yunnan University Yunnan China

ISBN: (纸本)9781941643952

Sentiment analysis of tweets has attracted considerable attention recently for potential use in commercial and public sector applications. Typical sentiment analysis classifies the sentiment of sentences into several discrete classes (e.g., positive and negative). The aim of Task 4 subtask C of SemEval-2016 is to classify the sentiment of tweets into an ordinal five-point scale. In this paper, we present a system that uses word embeddings and recurrent convolutional networks to complete the competition task. The word embeddings provide a continuous vector representation of words for the recurrent convolutional network to use in building sentence vectors for multipoint classification. The proposed method ranked second among eleven teams in terms of micro-averaged MAE (mean absolute error) and eighth for macro-averaged MAE. © 2016 Association for Computational Linguistics.

关键词： Sentiment analysis

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Dominance of Tensor Correlations in High-Momentum Nucleon Pairs Studied by (p,pd) Reaction

引用

Physical Review Letters 2018年第24期121卷 242501-242501页

作者： S. Terashima L. Yu H. J. Ong I. Tanihata S. Adachi N. Aoi P. Y. Chan H. Fujioka M. Fukuda H. Geissel G. Gey J. Golak E. Haettner C. Iwamoto T. Kawabata H. Kamada X. Y. Le H. Sakaguchi A. Sakaue C. Scheidenberger R. Skibiński B. H. Sun A. Tamii T. L. Tang D. T. Tran K. Topolnicki T. F. Wang Y. N. Watanabe H. Weick H. Witała G. X. Zhang L. H. Zhu School of Physics and Nuclear Energy Engineering Beihang University 100191 Beijing China International Research Center for Nuclei and Particles in Cosmos Beihang University 100191 Beijing China RCNP Osaka University 10-1 Mihogaoka Ibaraki Osaka 567-0047 Japan Department of Physics Kyoto University Kyoto 606-8502 Japan Department of Physics Osaka University 1-5 Machikaneyama-cho Toyonaka Osaka 560-0043 Japan GSI Helmholtzzentrum für Schwerionenforschung GmbH Planskstraße 1 64291 Darmstadt Germany Justus-Liebig-Universität Gießen Heinrich-Buff-Ring 16 35392 Gießen Germany M. Smoluchowski Institute of Physics Jagiellonian University PL-30348 Kraków Poland Department of Physics Faculty of Engineering Kyushu Institute of Technology Kitakyushu 804-8550 Japan Beijing Advanced Innovation Center for Big Data based Precision Medicine Beihang University 100083 Beijing China Institute of Physics Vietnam Academy of Science and Technology Hanoi 100000 Vietnam Department of Physics University of Tokyo Tokyo 113-0033 Japan

The isospin character of p−n pairs at large relative momentum has been observed for the first time in the O16 ground state. A strong population of the J,T=1,0 state and a very weak population of the J,T=0,1 state were observed in the neutron pickup domain of O16(p,pd) at 392 MeV. This strong isospin dependence at large momentum transfer is not reproduced by the distorted-wave impulse approximation calculations with known spectroscopic amplitudes. The results indicate the presence of high-momentum protons and neutrons induced by the tensor interactions in the ground state of O16.

关键词： Direct reactions Nuclear forces

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