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September 24, 1999
For more information on these science news and feature story tips, please
contact the public information officer at the end of each item at (703)
292-8070. Editor: Cheryl Dybas
Contents of this News Tip:
Researchers at the National Science Foundation's Science and Technology
Center for Ultrafast Optical Science have shown they can use a tabletop
laser system to separate chemical isotopes, a process normally performed
in huge industrial plants. The isotopes are useful for making medical
tracers, pure thin-film coatings needed for microelectronics, and nuclear
fuel.
A team at the University of Michigan center uses a compact terawatt
laser to strike a target material with a powerful pulsed beam, blowing
off isotopes from the material. The magnetic field created in the process
exerts a force on the isotopes, which deposits them in different locations
according to their molecular weight. The process holds promise as a cheap
and efficient method to sort isotopes needed for industrial use, without
the large and expensive magnetic equipment and hazardous waste that characterize
current separation methods.
The process will be reported in the September 27 issue of Physical
Review Letters. [Amber Jones]
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Researchers supported by the National Science Foundation
are developing techniques that could help physicians diagnose and treat
lung disease and aid pulmonary science. A new magnetic resonance imaging
(MRI) technology uses a hyperpolarized gas inhaled into the lungs to
produce images of lung tissue and airways that are difficult to image
with traditional MRI.
With the new technology, laser-based methods are used to hyperpolarize
either helium 3 or xenon 129 by setting their nuclei all spinning in
the same direction. As the gas is inhaled, specially configured MRI
machines obtain high-resolution images. The technology could allow
physicians to pinpoint airway obstructions and screen for diseases
with much greater precision and less risk than current techniques that
use ionizing radiation. It may also be useful for imaging other areas,
such as the sinuses and the colon.
William Happer and Gordon Cates of Princeton University, Tim Chupp
of the University of Michigan and Thad Walker of the University of
Wisconsin head teams of scientists trying to develop practical, low-cost
polarization techniques. A team led by Ron Walsworth of the Harvard-Smithsonian
Center for Astrophysics is one of several researching the use of low
magnetic fields, which could enable the development of portable, less
imposing MRI machines. Mitchell Albert and colleagues at Harvard's
Brigham and Women's Hospital have produced the first real-time images
of respiration in animals and hope to do the same with humans. [Amber
Jones]
For related images, see:
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Hpyerpolarized
Helium
Lung Image
Data courtesy of Duke University (Radiology) and Princeton University
(Physics)
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A new forecasting method developed by Florida State University meteorologists,
called the Super Ensemble, shows enormous potential in accurately predicting
hurricanes.
Scientist T.N. Krishnamurti, tropical meteorologist and pioneer in numerical
weather predicting, developed the idea for the Super Ensemble with funding
from NSF's division of atmospheric sciences.
"If you just look at one or two days, the differences may not be
that large, but if you extend this to four or five, even six days, then
you can see a huge difference," says Krishnamurti. "The Super
Ensemble seems to outperform most models for longer ranges. Under shorter
range, the differences are smaller, but it's still probably one of the
best models that exists today."
Krishnamurti and his team of researchers at FSU's Real Time Hurricane
Forecast Center use up to 11 tropical forecasts from around the world,
including three of their own, and supply the data to a supercomputer similar
to IBM's master chess player, Deep Blue. The computer weeds out the errors
in each forecast and produces a more accurate one- to six-day track and
intensity forecast.
The researchers are now working on experimental real-time Atlantic hurricane
prediction, including recent hurricanes like Dennis. The Super Ensemble
method was able to predict such storms' paths very accurately. [Cheryl
Dybas]
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