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Smart Bandages: Smart Bandage for Monitoring and Treatment of Chronic Wounds (Small 33/2018)

Small 2018年第33期14卷

作者： Pooria Mostafalu Ali Tamayol Rahim Rahimi Manuel Ochoa Akbar Khalilpour Gita Kiaee Iman K. Yazdi Sara Bagherifard Mehmet R. Dokmeci Babak Ziaie Sameer R. Sonkusale Ali Khademhosseini Biomaterials Innovation Research Center Department of Medicine Brigham and Women's Hospital Harvard Medical School Boston MA 02139 USA Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA 02139 USA Wyss Institute for Biologically Inspired Engineering Harvard University Boston MA 02115 USA Department of Mechanical and Materials Engineering University of Nebraska Lincoln Lincoln NE 68588 USA Birck Nanotechnology Center School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 USA Nano Lab Department of Electrical and Computer Engineering Tufts University Medford MA 02155 USA Center of Nanotechnology King Abdulaziz University Jeddah 21569 Saudi Arabia KU Convergence Science and Technology Institute Department of Stem Cell and Regenerative Biotechnology Konkuk University Hwayang-dong Kwangjin-gu Seoul 05029 Republic of Korea Department of Chemical and Biomolecular Engineering Department of Bioengineering Department of Radiology California NanoSystems Institute (CNSI) University of California Los Angeles CA 90095 USA

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Mammalian synthetic biology: Foundations and applications

Mammalian synthetic biology: Foundations and applications

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Synthetic Biology: engineering, Evolution, and Design Conference 2015, SEED 2015

作者： Weiss, Ron Synthetic Biology Center Department of Biological Engineering United States Department of Electrical Engineering and Computer Science MIT United States

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An emergent space for distributed data with hidden internal order through manifold learning

arXiv

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arXiv 2017年

作者： Kemeth, Felix P. Haugland, Sindre W. Dietrich, Felix Bertalan, Tom Höhlein, Kevin Li, Qianxiao Bollt, Erik M. Talmon, Ronen Krischer, Katharina Kevrekidis, Ioannis G. Physik-Department Nonequilibrium Chemical Physics Technische Universität München James-Franck-Str. 1 GarchingD-85748 Germany Institute for Advanced Study Technische Universität München Lichtenbergstr. 2a GarchingD-85748 Germany Department of Chemical and Biological Engineering Princeton University PrincetonNJ08544 United States Department of Chemical and Biomolecular Engineering Department of Applied Mathematics and Statistics Johns Hopkins University JHMI Department of Mechanical Engineering MIT CambridgeMA02139 United States Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis North Singapore138632 Singapore Department of Mathematics Department of Electrical and Computer Engineering Clarkson Center for Complex Systems Science Clarkson University PotsdamNY13699-5815 United States Department of Electrical Engineering Technion Israel Institute of Technology Technion City Haifa32000 Israel

Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations;these are, in turn, useful in nonlinear model identification tasks. We focus here on the case of time series data that can ultimately be modelled as a spatially distributed system (e.g. a partial differential equation, PDE), but where we do not know the space in which this PDE should be formulated. Hence, even the spatial coordinates for the distributed system themselves need to be identified - to "emerge from"- the data mining process. We will first validate this "emergent space" reconstruction for time series sampled without space labels in known PDEs;this brings up the issue of observability of physical space from temporal observation data, and the transition from spatially resolved to lumped (order-parameter-based) representations by tuning the scale of the data mining kernels. We will then present actual emergent space "discovery" illustrations. Our illustrative examples include chimera states (states of coexisting coherent and incoherent dynamics), and chaotic as well as quasiperiodic spatiotemporal dynamics, arising in partial differential equations and/or in heterogeneous networks. We also discuss how datadriven "spatial" coordinates can be extracted in ways invariant to the nature of the measuring instrument. Such gauge-invariant data mining can go beyond the fusion of heterogeneous observations of the same system, to the possible matching of apparently different systems. For an older version of this article, including other examples, see https://***/abs/1708.05406. Copyright © 2017, The Authors. All rights reserved.

关键词： Data mining

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Helical vortex formation in three-dimensional electrochemical systems with ion-selective membranes

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Physical Review E 2016年第3期93卷 033114-033114页

作者： Sang V. Pham Hyuckjin Kwon Bumjoo Kim Jacob K. White Geunbae Lim Jongyoon Han Research Laboratory of Electronics Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Singapore-MIT Alliance for Research and Technology (SMART) Singapore 138602 Department of Ship Engineering and Fluid Mechanics Hanoi University of Science and Technology No1 DaiCoViet Hanoi Vietnam Pohang Universities of Science and Technology Pohang Gyeoungbuk 790784 Republic of Korea Department of Biological Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

The rate of electric-field-driven transport across ion-selective membranes can exceed the limit predicted by Nernst (the limiting current), and encouraging this “overlimiting” phenomenon can improve efficiency in many electrochemical systems. Overlimiting behavior is the result of electroconvectively induced vortex formation near membrane surfaces, a conclusion supported so far by two-dimensional (2D) theory and numerical simulation, as well as experiments. In this paper we show that the third dimension plays a critical role in overlimiting behavior. In particular, the vortex pattern in shear flow through wider channels is helical rather than planar, a surprising result first observed in three-dimensional (3D) simulation and then verified experimentally. We present a complete experimental and numerical characterization of a device exhibiting this recently discovered 3D electrokinetic instability, and show that the number of parallel helical vortices is a jump-discontinuous function of width, as is the overlimiting current and overlimiting conductance. In addition, we show that overlimiting occurs at lower fields in wider channels, because the associated helical vortices are more readily triggered than the planar vortices associated with narrow channels (effective 2D systems). These unexpected width dependencies arise in realistic electrochemical desalination systems, and have important ramifications for design optimization.

关键词： Electrochemistry Vortex flows Membrane structures

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Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach

Optimal medication dosing from suboptimal clinical examples:...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Shamim Nemati Mohammad M. Ghassemi Gari D. Clifford Emory University Atlanta GA US Dept. of Electrical Engineering and Computer Science MIT Cambrige MA Dept. of Biomedical Informatics Emory University Atlanta GA Dept. of Biomedical Engineering Georgia Institute of Technology Atlanta GA

Misdosing medications with sensitive therapeutic windows, such as heparin, can place patients at unnecessary risk, increase length of hospital stay, and lead to wasted hospital resources. In this work, we present a clinician-in-the-loop sequential decision making framework, which provides an individualized dosing policy adapted to each patient's evolving clinical phenotype. We employed retrospective data from the publicly available MIMIC II intensive care unit database, and developed a deep reinforcement learning algorithm that learns an optimal heparin dosing policy from sample dosing trails and their associated outcomes in large electronic medical records. Using separate training and testing datasets, our model was observed to be effective in proposing heparin doses that resulted in better expected outcomes than the clinical guidelines. Our results demonstrate that a sequential modeling approach, learned from retrospective data, could potentially be used at the bedside to derive individualized patient dosing policies.

关键词： Hospitals Training Time series analysis Learning (artificial intelligence) Drugs Feature extraction Cost function

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Minituarized printed L-shaped antenna with parasitic element for ultra-wideband applicatons

Minituarized printed L-shaped antenna with parasitic element...

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International Symposium on Antenna Technology and Applied Electromagnetics and the Canadian Radio science Meeting, ANTEM/URSI

作者： R. Karli H. Ammor R. M. Shubair M. I. Al Hajri Ali Hakam Electronic and Communication Laboratory EMI Mohammed V University Morocco Research Laboratory of Electronics Massachusetts Institute of Technology (MIT) USA Electrical and Computer Engineering Department Khalifa University UAE Khalifa University of Science and Technology Abu Dhabi Abu Dhabi AE Department of Electrical Engineering UAE University UAE

ISBN: (纸本)9781467384797

This paper presents a new compact printed L-shaped monopole antenna for applications in ultra-wideband (UWB) systems such as home networks and various wireless systems. A miniaturization of the proposed antenna has been accomplished by using a parasatic element, resulting in a design with dimensions 25 mm × 25 mm × 1.6 mm. The antenna is printed on FR4 epoxy and is fed by SMA female connector. The return loss (Su) and voltage standing wave ratio (VSWR) are obtained using both HFSS and CST for different ground plane lengths. The new L-shaped design illustrates good UWB characteristics since it is capable of operating in the range 2-12.31 GHz. Simulation results for Su and VSWR show strong consistency in terms of the bandwidth for UWB operation, under the general criteria of S 11 less than -10 dB and VSWR less than 2:1.

关键词： Ultra wideband antennas Simulation Wideband Polarization

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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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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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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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