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Publisher Correction: The Scales Project, a cross-national dataset on the interpretation of thermal perception scales

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Scientific data 2020年第1期7卷 11页

作者： Marcel Schweiker Amar Abdul-Zahra Maíra André Farah Al-Atrash Hanan Al-Khatri Rea Risky Alprianti Hayder Alsaad Rucha Amin Eleni Ampatzi Alpha Yacob Arsano Montazami Azadeh Elie Azar Bannazadeh Bahareh Amina Batagarawa Susanne Becker Carolina Buonocore Bin Cao Joon-Ho Choi Chungyoon Chun Hein Daanen Siti Aisyah Damiati Lyrian Daniel Renata De Vecchi Shivraj Dhaka Samuel Domínguez-Amarillo Edyta Dudkiewicz Lakshmi Prabha Edappilly Jesica Fernández-Agüera Mireille Folkerts Arjan Frijns Gabriel Gaona Vishal Garg Stephanie Gauthier Shahla Ghaffari Jabbari Djamila Harimi Runa T Hellwig Gesche M Huebner Quan Jin Mina Jowkar Renate Kania Jungsoo Kim Nelson King Boris Kingma M Donny Koerniawan Jakub Kolarik Shailendra Kumar Alison Kwok Roberto Lamberts Marta Laska M C Jeffrey Lee Yoonhee Lee Vanessa Lindermayr Mohammadbagher Mahaki Udochukwu Marcel-Okafor Laura Marín-Restrepo Anna Marquardsen Francesco Martellotta Jyotirmay Mathur Gráinne McGill Isabel Mino-Rodriguez Di Mou Bassam Moujalled Mia Nakajima Edward Ng Marcellinus Okafor Mark Olweny Wanlu Ouyang Ana Ligia Papst de Abreu Alexis Pérez-Fargallo Indrika Rajapaksha Greici Ramos Saif Rashid Christoph F Reinhart Ma Isabel Rivera Mazyar Salmanzadeh Karin Schakib-Ekbatan Stefano Schiavon Salman Shooshtarian Masanori Shukuya Veronica Soebarto Mohammad Tahsildoost Federico Tartarini Despoina Teli Priyam Tewari Samar Thapa Maureen Trebilcock Jörg Trojan Ruqayyatu B Tukur Conrad Voelker Yeung Yam Liu Yang Gabriela Zapata-Lancaster Yongchao Zhai Yingxin Zhu Zahra Sadat Zomorodian Building Science Group Karlsruhe Institute of Technology Englerstr. 7 76131 Karlsruhe Germany. marcel.schweiker@kit.edu. WIN-Kolleg Thermal comfort and pain Heidelberg Academy of Sciences and Humanities Karlstr. 4 69117 Heidelberg Germany. marcel.schweiker@kit.edu. Mechanical Engineering Department University of Technology Iraq Al sinaea 10066 Baghdad Iraq. CTC/Department of Civil Engineering Federal University of Santa Catarina Rua João Pio Duarte Silva s/n. Córrego Grande 88.040-901 Florianópolis SC Brazil. School of Architecture and Built Environment German Jordanian University Darat Othman Bdeir 11180 Amman Jordan. Civil and Architectural Engineering Department Sultan Qaboos University Al-Khod P.O. Box: 33 PC: 123 Muscat Oman. Laboratory of Building Technology Department of Architecture Institut Teknologi Bandung Ganesha 10 40132 Bandung Indonesia. Department of Building Physics Bauhaus-University Weimar Coudraystr. 11A 99423 Weimar Germany. Energy & Climate Change Group Faculty of Engineering & Physical Sciences University of Southampton University Road SO17 1BJ Southampton United Kingdom. Welsh School of Architecture Cardiff University King Edward VII Avenue CF10 3NB Cardiff United Kingdom. Department of Architecture Massachusetts Institute of Technology Massachusetts Ave 02139 Cambridge United States of America. Faculty of Engineering Environment and Computing BNE Research Centre Coventry University Gulson road CV1 2JH Coventry United Kingdom. Industrial and Systems Engineering Khalifa University Masdar Campus Building 1B 54224 Abu Dhabi United Arab Emirates. Architecture University of Tehran Kish International Campus Niyayesh St. Mirmohanna Blvd 79416-55665 Kish Iran. Department of Architecture Ahmadu Bello University Zaria Nigeria Samaru Zaria Nigeria. WIN-Kolleg Thermal comfort and pain Heidelberg Academy of Sciences and Humanities Karlstr. 4 69117 Heidelberg Germany. Department of Cognitive and Clinical Neurosci

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data

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EPJ Data science 2017年第1期6卷 1-1页

作者： Jahani, Eaman Sundsøy, Pål Bjelland, Johannes Bengtsson, Linus Pentland, Alex ‘Sandy’ de Montjoye, Yves-Alexandre Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge USA Telenor Research Oslo Norway Flowminder Stockholm Sweden Department of Public Health Sciences Karolinska Institute Stockholm Sweden Media Lab Massachusetts Institute of Technology Cambridge USA Department of Computing Imperial College London London UK Data Science Institute William Penney Laboratory Imperial College London London UK

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A word embedding approach to predicting the compositionality of multiword expressions

A word embedding approach to predicting the compositionality...

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Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015

作者： Salehi, Bahar Cook, Paul Baldwin, Timothy NICTA Victoria Research Laboratory Department of Computing and Information Systems University of Melbourne VIC3010 Australia Faculty of Computer Science University of New Brunswick FrederictonNBE3B 5A3 Canada

ISBN: (纸本)9781941643495

This paper presents the first attempt to use word embeddings to predict the compositionality of multiword expressions. We consider both single- and multi-prototype word embeddings. Experimental results show that, in combination with a back-off method based on string similarity, word embeddings outperform a method using count-based distributional similarity. Our best results are competitive with, or superior to, state-of-the-art methods over three standard compositionality datasets, which include two types of multiword expressions and two languages. © 2015 Association for Computational Linguistics.

关键词： Embeddings

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Gravitational wave astronomy: the current status

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science China(Physics,Mechanics & Astronomy) 2015年第12期58卷 3-43页

作者： BLAIR David JU Li ZHAO ChunNong WEN LinQing CHU Qi FANG Qi CAI RongGen GAO JiangRui LIN XueChun LIU Dong WU Ling-An ZHU ZongHong REITZE David H. ARAI Koji ZHANG Fan FLAMINIO Raffaele ZHU XingJiang HOBBS George MANCHESTER Richard N. SHANNON Ryan M. BACCIGALUPI Carlo GAO Wei XU Peng BIAN Xing CAO ZhouJian CHANG ZiJing DONG Peng GONG XueFei HUANG ShuangLin JU Peng LUO ZiRen QIANG Li'E TANG WenLin WAN XiaoYun WANG Yue XU ShengNian ZANG YunLong ZHANG HaiPeng LAU Yun-Kau NI Wei-Tou School of Physics The University of Western Australia State Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences The School of Physics & Electronic Engineering Shanxi University Laboratory of All-Solid-State Light Sources Institute of Semiconductors Chinese Academy of Science State Key Laboratroy of Modern Optical Instrumentation Department of Optical Engineering Zhejiang University Laboratory of Optical Physics Institute of Physics Chinese Academy of Sciences Gravitational Wave and Cosmology Laboratory Department of Astronomy Beijing Normal University LIGO Laboratory California Institute of Technology Department of Physics University of Florida Department of Physics West Virginia University National Astronomical Observatory of Japan CSIRO Astronomy and Space Science International Centre for Radio Astronomy Research Curtin University SISSA Astrophysics Sector Institute of Applied Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences University of Chinese Academy of Sciences Morningside Center of Mathematics Chinese Academy of Sciences State Key Laboratory of Scientific and Engineering Computing Academy of Mathematics and Systems ScienceChinese Academy of Sciences Department of Mathematics Henan University Department of Mathematics Capital Normal University Department of Geophysics College of the Geology Engineering and Geomatics Chang'an University QUEST Centre of Quantum Engineering and Space-Time Research Leibniz Universitt Hannover Max-Planck-Institut für Gravitationsphysik(Albert Einstein Institut) Aerospace Flight Dynamics Laboratory Beijing Aerospace Control Center Qian Xuesen Laboratory of Launch Vehicle Technology Center for Gravitation and Cosmology Department of Physics Tsing Hua University

In the centenary year of Einstein's General Theory of Relativity, this paper reviews the current status of gravitational wave astronomy across a spectrum which stretches from attohertz to kilohertz frequencies. Sect. 1 of this paper reviews the historical development of gravitational wave astronomy from Einstein's first prediction to our current understanding the spectrum. It is shown that detection of signals in the audio frequency spectrum can be expected very soon, and that a north-south pair of next generation detectors would provide large scientific benefits. Sect. 2 reviews the theory of gravitational waves and the principles of detection using laser interferometry. The state of the art Advanced LIGO detectors are then described. These detectors have a high chance of detecting the first events in the near future. Sect. 3 reviews the KAGRA detector currently under development in Japan,which will be the first laser interferometer detector to use cryogenic test masses. Sect. 4 of this paper reviews gravitational wave detection in the nanohertz frequency band using the technique of pulsar timing. Sect. 5 reviews the status of gravitational wave detection in the attohertz frequency band, detectable in the polarisation of the cosmic microwave background, and discusses the prospects for detection of primordial waves from the big bang. The techniques described in sects. 1–5 have already placed significant limits on the strength of gravitational wave sources. Sects. 6 and 7 review ambitious plans for future space based gravitational wave detectors in the millihertz frequency band. Sect. 6 presents a roadmap for development of space based gravitational wave detectors by China while sect. 7 discusses a key enabling technology for space interferometry known as time delay interferometry.

关键词： gravitational waves ground based detectors pulsar timing spaced based detectors CMB

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The impact of multiword expression compositionality on machine translation evaluation 11

The impact of multiword expression compositionality on machi...

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11th Workshop on Multiword Expressions, MWE 2015

作者： Salehi, Bahar Mathur, Nitika Cook, Paul Baldwin, Timothy NICTA Victoria Research Laboratory University of Melbourne Victoria3010 Australia Department of Computing and Information Systems University of Melbourne Victoria3010 Australia Faculty of Computer Science University of New Brunswick FrederictonNBE3B 5A3 Canada

ISBN: (纸本)9781941643389

In this paper, we present the first attempt to integrate predicted compositionality scores of multiword expressions into automatic machine translation evaluation, in integrating compositionality scores for English noun compounds into the TESLA machine translation evaluation metric. The attempt is marginally successful, and we speculate on whether a larger-scale attempt is likely to have greater impact. © NAACL-HLT *** right reserved.

关键词： Computational linguistics

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A survey on big data for human body shape

A survey on big data for human body shape

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Hongli Peng Xiuqin Shang Chao Guo Gang Xiong Timo R. Nyberg Dong Fan Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China College of Information Science and Technology Beijing University of Chemical Technology Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences China Guangdong Department of Industrial Engineering and Management Aalto University Finland SBoleni Intelligent Solutions Technology (SuZhou) Co. Ltd Joint Laboratory of Intelligent IoT & Cloud for Parallel Management & Control Suzhou China

ISBN: (纸本)9781509029280

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of IoT, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.

关键词： Three-dimensional displays Feature extraction Shape Biological system modeling Solid modeling Computational modeling Data models

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Tomography is Necessary for Universal Entanglement Detection with Single-Copy Observables

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Physical Review Letters 2016年第23期116卷 230501-230501页

作者： Dawei Lu Tao Xin Nengkun Yu Zhengfeng Ji Jianxin Chen Guilu Long Jonathan Baugh Xinhua Peng Bei Zeng Raymond Laflamme Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Ontario Canada State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics Tsinghua University Beijing 100084 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney NSW 2007 Australia Department of Mathematics and Statistics University of Guelph Guelph Ontario N1G 2W1 Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing 100190 China Joint Center for Quantum Information and Computer Science University of Maryland College Park Maryland 20742 USA Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China Hefei Anhui 230036 China Canadian Institute for Advanced Research Toronto Ontario M5G 1Z8 Canada Perimeter Institute for Theoretical Physics Waterloo Ontario N2L 2Y5 Canada

Entanglement, one of the central mysteries of quantum mechanics, plays an essential role in numerous tasks of quantum information science. A natural question of both theoretical and experimental importance is whether universal entanglement detection can be accomplished without full state tomography. In this Letter, we prove a no-go theorem that rules out this possibility for nonadaptive schemes that employ single-copy measurements only. We also examine a previously implemented experiment [H. Park et al., Phys. Rev. Lett. 105, 230404 (2010)], which claimed to detect entanglement of two-qubit states via adaptive single-copy measurements without full state tomography. In contrast, our simulation and experiment both support the opposite conclusion that the protocol, indeed, leads to full state tomography, which supplements our no-go theorem. These results reveal a fundamental limit of single-copy measurements in entanglement detection and provide a general framework of the detection of other interesting properties of quantum states, such as the positivity of partial transpose and the k-symmetric extendibility.

关键词： Entanglement detection Entanglement measures Quantum tomography Nuclear magnetic resonance

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Correction to: Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)

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Standards in genomic sciences 2018年第1期13卷 17页

作者： Dagmar Waltemath Frank T Bergmann Claudine Chaouiya Tobias Czauderna Padraig Gleeson Carole Goble Martin Golebiewski Michael Hucka Nick Juty Olga Krebs Nicolas Le Novère Huaiyu Mi Ion I Moraru Chris J Myers David Nickerson Brett G Olivier Nicolas Rodriguez Falk Schreiber Lucian Smith Fengkai Zhang Eric Bonnet 1Department of Systems Biology and Bioinformatics University of Rostock Rostock Germany. 2Department of Computing and Mathematical Sciences California Institute of Technology Pasadena CA USA. 4Instituto Gulbenkian de Ciência - IGC Rua da Quinta Grande Oeiras Portugal. 3IPK Gatersleben Gatersleben Germany. 5Department of Neuroscience Physiology and Pharmacology University College London London UK. 6School of Computer Science The University of Manchester Manchester UK. 7Heidelberg Institute for Theoretical Studies Heidelberg Germany. 8EMBL-European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge UK. 14The Babraham Institute Babraham Research Campus Cambridge UK. 9Department of preventive medicine Keck School of Medicine University of Southern California Los Angeles CA USA. 10Center for Cell Analysis and Modeling University of Connecticut Health Center Farmington CT USA. 11Department of Electrical and Computer Engineering University of Utah Salt Lake City USA. 12Auckland Bioengineering Institute University of Auckland Auckland New Zealand. 13Systems Bioinformatics VU University Amsterdam Amsterdam The Netherlands. 15Martin Luther University Halle-Wittenberg Halle Germany. 16Monash University Melbourne Australia. Computational Biology Unit Laboratory of Systems Biology National Institute of Allergy and Infectious Diseases NIH Bethesda MD USA. 18Institut Curie Paris France. INSERM U900 75248 Paris France. 20Mines ParisTech 77300 Fontainebleau Paris France.

[This corrects the article DOI: 10.4056/sigs.5279417.].

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A Method of SMS Spam Filtering Based on AdaBoost Algorithm

A Method of SMS Spam Filtering Based on AdaBoost Algorithm

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World Congress on Intelligent Control and Automation

作者： Xipeng Zhang Gang Xiong Yuexiang Hu Fenghua Zhu Xisong Dong Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation of Chinese Academy of Science Beijing CO 100190 China Cloud Computing Center Chinese Academy of Sciences Dongguan CO 523000 China Hainan Zhongke Flower Ocean Cloud Commerce Technology Co. Ltd Haikou CO570311 Hainan China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing CO 100190 China Qingdao Academy of Intelligent Industries Qingdao CO 266061 China Department of Industrial Engineering and Management Aalto University Aalto CO FI-00076 Finland

ISBN: (纸本)9781467384155

Short message is one of the most common communication media for mobile subscribers, so major mobile operators are devoted to improve their Short Message Service (SMS). However, the annoying and undesired messages, also named message spam or simply spam, not only worsen the users' experience, but also cause their complaints on SMS. In this paper, we present a novel Chinese SMS spam filtering framework based on AdaBoost algorithm to provide accurate and effective short messages classification. Three content-based weak filters are introduced to boost the performance of final classification decision. Results from Receiver Operating Characteristics (ROC) analysis prove the proposed method has such advantages as higher efficiency and fewer parameters over those established SMS spam filtering methods. The application of the proposed method is expected to block the most spam for mobile subscribers and improve the service quality of SMS. With simple data processing and few training parameters, the proposed method can be applied into the practice of short text classification.

关键词： Filtering Mobile communication Training Unsolicited electronic mail Classification algorithms Text categorization Bayes methods

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