Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Samuel Raben"'
Autor:
Joonil Seog, Dhanya Williams, Claudette Brooks, Carlos Peña, Mohamad Bydon, Robert Herrmann, Patrick Noonan, Christopher M Loftus, William Heetderks, Matthew Fusco, Samuel Raben, Xiaolin Zheng, Michael Hoffmann, Leigh Anderson, Myra Smith
Publikováno v:
Stroke. 50:524-528
Autor:
Tushar Bansal, Daryl Kaufman, Angela DeMarco, Kelliann Wachrathit, Heather Dean, Bradley Dworak, Ian Marcus, Bennett Blumenkopf, Avena Russell, Vesper Fe Marie Llaneza Ramos, Steven Hsu, Jaime Waterhouse, Robert Herrmann, Myra Smith, Samuel Raben, Stacie Gutowski, Hyung Lee, A.V. Govindarajan, Carlos Peña, Kathryn De Laurentis, Binoy Mathews, Xiaorui Tang, John Doucet, Amber Ballard, Peter Como, Karlene Cork, Xiaolin Zheng, Erin Keegan, Dhanya Williams, Ayo Bello, Kevin Khuu, Ian Broverman, Jay Gupta, William Heetderks, Ann Costello, Naz Ghassemian, Kristen Bowsher, Gregg Kittlesen, Devjani Saha, Christian Shenouda, Bernard Berne, Joonil Seog, Larry Lo, Mohamad Bydon, Timothy Marjenin, Aden Asefa, Kuo Chao, Patrick Antkowiak, Vivek Pinto, Michael Hoffmann, Leigh Anderson, Lisa Epperson, Chandramallika Ghosh, Sanjay Misra, Eric Franca
Publikováno v:
Neuron. 92(5)
The United States Food and Drug Administration (FDA) ensures that patients in the U.S. have access to safe and effective medical devices. The Division of Neurological and Physical Medicine Devices reviews medical technologies that interface with the
Publikováno v:
Flow Measurement and Instrumentation. 20:207-219
This paper explores the accuracy of particle image sizing using direct processing of digitally recorded images. Traditional methods for particle image sizing were considered and, four new algorithms were developed to deliver improved accuracy and rob
Publikováno v:
Experiments in Fluids. 55
We present an experimental approach for esti- mating finite-time Lyapunov exponent fields (FTLEs) in three-dimensional multi-component or multi-phase flows. From time-resolved sequences of particle images, we directly compute the flow map and coheren
Autor:
Mikael Reichler, Samuel Rabensteiner, Ludwig Törnblom, Sebastian Coffeng, Leevi Viitanen, Luisa Jannuzzi, Tero Mäkinen, Jonatan R. Mac Intyre, Juha Koivisto, Antti Puisto, Mikko J. Alava
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Mimicking natural structures allows the exploitation of proven design concepts for advanced material solutions. Here, our inspiration comes from the anisotropic closed cell structure of wood. The bubbles in our fiber reinforced foam are elon
Externí odkaz:
https://doaj.org/article/a43c164aba644c25bbe774640d345cc6
Publikováno v:
Experiments in Fluids. 55
This work presents two new methods for computing finite-time Lyapunov exponents (FTLEs) from noisy spatiotemporally resolved experimentally measured image data of the type used for particle image velocimetry (PIV) or particle tracking velocimetry (PT
Publikováno v:
Scour and Erosion.
This paper reports a comprehensive study of the major scour agent around bridge piers: the turbulent horseshoe vortex. The intricate and inherently unsteady characteristics of the junction flow are captured within a series of scaled laboratory experi
This report is the culmination of a two year effort to demonstrate the capability for performing near wall high resolution Time Resolved Particle Image Velocimetry (TRDPIV) measurements in a transonic turbine. Performing TRDPIV in high speed wall bou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3d1079f264f4901a63b8e4e722e7bbf
https://doi.org/10.21236/ada479415
https://doi.org/10.21236/ada479415
Publikováno v:
Volume 1: Symposia, Parts A and B.
Wall jets have many applications in engineering ranging from active flow control to film cooling. A typical wall jet is characterized by both spatial and temporal variation. Here we use Time Resolved-Digital Particle Image Velocimetry (TR-DPIV) to de
Publikováno v:
Volume 10: Heat Transfer, Fluid Flows, and Thermal Systems, Parts A, B, and C.
This paper presents an extension of existing Proper Orthogonal Decomposition (POD) based methods for gappy data reconstruction to allow its use with experimental data without a priori knowledge of the ‘True’ solution, and applies it time-resolved