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Data analytics for renewable energy integration: Third ECML PKDD Workshop, DARE 2015 Porto, Portugal, September 11, 2015 revised selected papers 3rd

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3rd International Conference on Data Analytics for Renewable Energy Integration, DARE 2015

作者： Woon, Wei Lee Aung, Zeyar Madnick, Stuart Electrical Engineering and Computer Science Masdar Institute of Science and Technology Abu Dhabi United Arab Emirates Electrical Engineering and Computer Science Masdar Institute of Science and Technology Abu Dhabi United Arab Emirates MIT Sloan School of Management CambridgeMA United States

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Computational complexity of numberless Shakashaka 27

Computational complexity of numberless Shakashaka

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27th Canadian Conference on Computational Geometry, CCCG 2015

作者： Adler, Aviv Biro, Michael Demaine, Erik Rudoy, Mikhail Schmidt, Christiane Computer Science and Artificial Intelligence Laboratory MIT MA United States Department of Mathematics and Statistics Swarthmore College United States Electrical Engineering and Computer Science Department and Mathematics Department MIT MA United States Rachel and Selim Benin School of Computer Science and Engineering Hebrew University of Jerusalem Israel

Shakashaka, like Sudoku, is a pencil-and-paper puzzle. In this paper we show that Shakashaka is NP-complete in the case of numberless black squares. © 2015 Queen's University Ontario Canada. All rights reserved.

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Optimizing unanesthetized cerebral oxygen consumption measures: Comparison of NIRS and MRI approaches in neonates with congenital heart disease

Optimizing unanesthetized cerebral oxygen consumption measur...

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Optical Tomography and Spectroscopy, OTS 2016

作者： Ferradal, Silvina L. Stout, Jeffrey N. Gagoski, Borjan Vyas, Rutvi Ha, Christopher Bolar, Divya S. Cheng, Henry H. Newburger, Jane Franceschini, Maria A. Adalsteinsson, Elfar Ellen Grant, P. Fetal-Neonatal Neuroimaging and Developmental Science Center Boston Children's Hospital BostonMA United States Harvard-MIT Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Martinos Center for Biomedical Imaging MGH/Harvard Medical School BostonMA United States Department of Radiology Massachusetts General Hospital BostonMA United States Department of Cardiology Boston Children's Hospital BostonMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Institute for Medical Engineering and Science CambridgeMA United States

Cerebral perfusion in neonates with congenital heart disease is a clinical concern. Combined measures of MRI and NIRS can provide complementary information to improve monitoring. We compare multimodal measures of cere... 详细信息

ISBN: (纸本)9781943580101

关键词： Oxygen

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High power broadband terahertz pulse generation using chirped aperiodically poled structures

High power broadband terahertz pulse generation using chirpe...

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International Conference on Infrared and Millimeter Waves

作者： Alireza Yahaghi Koustuban Ravi Arya Fallahi Franz Kaertner Department of Communication and Electronics Engineering Shiraz University Shiraz Iran DESY-Centre for Free Electron Laser Science (CFEL) Hamburg Germany Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics Massachusetts Institute of Technology (MIT) Cambridge Massachusetts USA Department of Phycics University of Hamburg Hamburg Germany

ISBN: (纸本)9781467384865

This paper presents a novel scheme for generation of high power short THz pulses using optical rectification. The procedure consists of two main steps. In the first step, generation of a chirped broadband THz pulse is proposed using a chirped aperiodically poled lithium niobate (APLN) crystal. In order to design a crystal with optimum generation efficiency, we take advantage of binary optimization techniques. The second step is compression of the pulses extracted from the APLN structure. For this purpose, we design chirped mirrors in the THz regime, which introduce certain group delay dispersion to the pulse propagation, thereby minimizing the chirp in the input THz pulse.

关键词： Chirp Mirrors Broadband communication Optical pulses Free electron lasers Crystals Dispersion

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On the quickest flow problem in dynamic networks-A parametric min-cost flow approach 26

On the quickest flow problem in dynamic networks-A parametri...

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26th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2015

作者： Lin, Maokai Jaillet, Patrick Operations Research Center MIT CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Operations Research Center MIT CambridgeMA02139 United States

ISBN: (纸本)9781611973747

We consider the quickest flow problem in dynamic networks with a single source s and a single sink t: given an amount of flow F, find the minimum time needed to send it from s to t, and the corresponding optimal flow over time. We introduce new mathematical formulations and derive optimality conditions for the quickest flow problem. Based on the optimality conditions, we develop a new cost-scaling algorithm that leverages the parametric nature of the problem. The algorithm solves the quickest flow problem with integer arc costs in O (nm log (n2/m) log (nC)) time, where n, m, and C are the number of nodes, arcs, and the maximum arc cost, respectively. Our algorithm runs in the same time bound as the cost-scaling algorithm by Goldberg and Tarjan [10, 11] for solving the mm-cost flow problem. This result shows for the first time that the quickest flow problem can be solved within the same time bound as one of the fastest algorithms for the mm-cost flow problem. As a consequence, our algorithm will remain one of the fastest unless the quickest flow problem can be shown to be simpler than the mm-cost flow problem. Copyright © 2015 by the Society for Industrial and Applied Mathmatics.

关键词： Cost accounting

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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A repeating fast radio burst source localised to a nearby spiral galaxy

arXiv

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arXiv 2020年

作者： Marcote, B. Nimmo, K. Hessels, J.W.T. Tendulkar, S.P. Bassa, C.G. Paragi, Z. Keimpema, A. Bhardwaj, M. Karuppusamy, R. Kaspi, V.M. Law, C.J. Michilli, D. Aggarwal, K. Andersen, B. Archibald, A.M. Bandura, K. Bower, G.C. Boyle, P.J. Brar, C. Burke-Spolaor, S. Butler, B.J. Cassanelli, T. Chawla, P. Demorest, P. Dobbs, M. Fonseca, E. Giri, U. Good, D.C. Gourdji, K. Josephy, A. Kirichenko, A.Yu. Kirsten, F. Landecker, T.L. Lang, D. Lazio, T.J.W. Li, D.Z. Lin, H.-H. Linford, J.D. Masui, K. Mena-Parra, J. Naidu, A. Ng, C. Patel, C. Pen, U.-L. Pleunis, Z. Rafiei-Ravandi, M. Rahman, M. Renard, A. Scholz, P. Siegel, S.R. Smith, K.M. Stairs, I.H. Vanderlinde, K. Zwaniga, A.V. Oude Hoogeveensedijk 4 PD Dwingeloo7991 Netherlands ASTRON Netherlands Institute for Radio Astronomy Oude Hoogeveensedijk 4 PD Dwingeloo7991 Netherlands Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Department of Physics McGill University 3600 University Street MontréalQCH3A 2T8 Canada McGill Space Institute McGill University 3550 University Street MontréalQCH3A 2A7 Canada Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Department of Astronomy and Owens Valley Radio Observatory California Institute of Technology PasadenaCA91125 United States Department of Physics and Astronomy West Virginia University P.O. Box 6315 MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States School of Mathematics Physics and Statistics University of Newcastle Newcatle upon TyneNE1 7RU United Kingdom Lane Department of Computer Science and Electrical Engineering MorgantownWV26506 United States Academia Sinica Institute of Astronomy and Astrophysics 645 N. A’ohoku Place HiloHI96720 United States National Radio Astronomy Observatory SocorroNM87801 United States Dunlap Institute for Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada Department of Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada Perimeter Institute for Theoretical Physics WaterlooONN2L 2Y5 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of British Columbia 6224 Agricultural Road VancouverBCV6T 1Z1 Canada Instituto de Astronomía Universidad Nacional Autónoma de México Apdo. Postal 877 EnsenadaBaja California22800 Mexico Ioffe Institute 26 Politekhnicheskaya st. St. Petersburg194021 Russia Department o

Fast radio bursts (FRBs) are brief, bright, extragalactic radio flashes1, 2. Their physical origin remains unknown, but dozens of possible models have been postulated3. Some FRB sources exhibit repeat bursts4–7. Though over a hundred FRB sources have been discovered to date8, only four have been localised and associated with a host galaxy9–12, with just one of the four known to repeat9. The properties of the host galaxies, and the local environments of FRBs, provide important clues about their physical origins. However, the first known repeating FRB has been localised to a low-metallicity, irregular dwarf galaxy, and the apparently non-repeating sources to higher-metallicity, massive elliptical or star-forming galaxies, suggesting that perhaps the repeating and apparently non-repeating sources could have distinct physical origins. Here we report the precise localisation of a second repeating FRB source6, FRB 180916.J0158+65, to a star-forming region in a nearby (redshift z = 0.0337 ±0.0002) massive spiral galaxy, whose properties and proximity distinguish it from all known hosts. The lack of both a comparably luminous persistent radio counterpart and a high Faraday rotation measure6 further distinguish the local environment of FRB 180916.J0158+65 from that of the one previously localised repeating FRB source, FRB 121102. This demonstrates that repeating FRBs have a wide range of luminosities, and originate from diverse host galaxies and local environments. Copyright © 2020, The Authors. All rights reserved.

关键词： Galaxies

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Highly efficient generation of strong-field 0.1-THz radiation

Highly efficient generation of strong-field 0.1-THz radiatio...

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International Conference on Infrared and Millimeter Waves

作者： Xiaojun Wu Anne-Laure Calendron Koustuban Ravi Chun Zhou Michael Hemmer Fabian Reichert Dongfang Zhang Huseyin Cankaya Luis E. Zapata Nicholas Matlis Franz X. Kärtner Center for Ultrafast Imaging University of Hamburg Hamburg Germany DESY Center for Free-Electron Laser Science Hamburg Germany Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics MIT Cambridge Massachusetts USA Department of Physics University of Hamburg Hamburg Germany Deutsches Elektronen-Synchrotron Hamburg Hamburg DE

We demonstrate the generation of single-cycle 0.1-THz radiation in a lithium niobate crystal using optical rectification and obtain THz output energy of 65 μJ with 31.6 MV/m peak field. This amounts to an optical-to-... 详细信息

关键词： Laser beams Temperature measurement Frequency measurement Optical imaging Optical pulses Energy measurement Distortion measurement

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Surface Patterning: Sub‐Micrometer Surface‐Patterned Ribbon Fibers and Textiles (Adv. Mater. 22/2017)

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Advanced Materials 2017年第22期29卷

作者： Tural Khudiyev Chong Hou Alexander M. Stolyarov Yoel Fink Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA 02139 USA MIT Lincoln Laboratory Lexington MA 02420 USA Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA Institute of Soldier Nanotechnology Massachusetts Institute of Technology Cambridge MA 02139 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 USA

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Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG

arXiv

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arXiv 2017年

作者： Krishnaswamy, Pavitra Obregon-Henao, Gabriel Ahveninen, Jyrki Khan, Sheraz Babadi, Behtash Iglesias, Juan Eugenio Hamalainen, Matti S. Purdon, Patrick L. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital CharlestownMA02129 United States Harvard-MIT Division of Health Sciences and Technology CambridgeMA02139 United States Institute for Infocomm Research A*STAR Singapore138632 Singapore Department of Neurology Massachusetts General Hospital CharlestownMA02129 United States Harvard Medical School BostonMA02115 United States Department of Electrical & Computer Engineering University of Maryland College ParkMD20742 United States Department of Neuroscience and Biomedical Engineering Aalto University School of Science Espoo02150 Finland NatMEG Department of Clinical Neuroscience Karolinska Institute Stockholm17177 Sweden Department of Anesthesia Critical Care and Pain Medicine Massachusetts General Hospital BostonMA02114 United States

Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can be recorded non-invasively using magnetoencephalography (MEG) and electroencephalography (EEG). However, these subcortical signals are much weaker than those due to cortical activity. In addition, we show here that it is difficult to resolve subcortical sources, because distributed cortical activity can explain the MEG and EEG patterns due to deep sources. We then demonstrate that if the cortical activity can be assumed to be spatially sparse, both cortical and subcortical sources can be resolved with M/EEG. Building on this insight, we develop a novel hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our analysis and method suggest new opportunities and offer practical tools for characterizing electrophysiological activity in the subcortical structures of the human *** Codes 62-07, 15A29 (Primary), and 62P10, 92-08, 68W01 (Secondary) Copyright © 2017, The Authors. All rights reserved.

关键词： Brain mapping

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