294 research outputs found
Blowout and liftoff limits of a hydrogen jet flame in a supersonic, heated, coflowing air stream
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76310/1/AIAA-1993-446-753.pd
Simultaneous CH planar laser-induced fluorescence and particle imaging velocimetry in turbulent flames
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77055/1/AIAA-1998-151-822.pd
The study of the turbulent burning velocity by imaging the wrinkled flame surface
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76129/1/AIAA-2002-482-348.pd
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Genotyping Analyses of Tuberculosis Cases in U.S.- and Foreign-Born Massachusetts Residents
We used molecular genotyping to further understand the epidemiology and transmission patterns of tuberculosis (TB) in Massachusetts. The study population included 983 TB patients whose cases were verified by the Massachusetts Department of Public Health between July 1, 1996, and December 31, 2000, and for whom genotyping results and information on country of origin were available. Two hundred seventy-two (28%) of TB patients were in genetic clusters, and isolates from U.S-born were twice as likely to cluster as those of foreign-born (odds ratio [OR] 2.29, 95% confidence interval [CI] 1.69, 3.12). Our results suggest that restriction fragment length polymorphism analysis has limited capacity to differentiate TB strains when the isolate contains six or fewer copies of IS6110, even with spoligotyping. Clusters of TB patients with more than six copies of IS6110 were more likely to have epidemiologic connections than were clusters of TB patients with isolates with few copies of IS6110 (OR 8.01, 95%; CI 3.45,18.93)
FSVPy: A Python-based Package for Fluorescent Streak Velocimetry (FSV)
Predictive constitutive equations that connect easy-to-measure transport
properties (e.g., viscosity and conductivity) with system performance variables
(e.g., power consumption and efficiency) are needed to design advanced thermal
and electrical systems. In this work, we explore the use of fluorescent
particle-streak analysis to directly measure the local velocity field of a
pressure-driven flow, introducing a new Python package (FSVPy) to perform the
analysis. Fluorescent streak velocimetry (FSV) combines high-speed imaging with
highly fluorescent particles to produce images that contain fluorescent
streaks, whose length and intensity can be related to the local flow velocity.
By capturing images throughout the sample volume, the three-dimensional
velocity field can be quantified and reconstructed. We demonstrate this
technique by characterizing the channel flow profiles of several non-Newtonian
fluids: micellar Cetylpyridinium Chloride solution, Carbopol 940, and
Polyethylene Glycol. We then explore more complex flows, where significant
acceleration is created due to micro-scale features encountered within the
flow. We demonstrate the ability of FSVPy to process streaks of various shapes,
and use the variable intensity along the streak to extract position-specific
velocity measurements from individual images. Thus, we demonstrate that FSVPy
is a flexible tool that can be used to extract local velocimetry measurements
from a wide variety of fluids and flow conditions
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