159 research outputs found
Ariel - Volume 6 Number 4
Editors
Mark Dembert
J.D. Kanofsky
Frank Chervenak
John Lammie
Curt Cummings
Entertainment
Robert Breckenridge
Joe Conti
Gary Kaskey
Photographer
Larry Glazerman
Overseas Editor
Mike Sinason
Humorist
Jim McCann
Staff
Ken Jaffe
Bob Sklaroff
Halley Faust
Jim Burk
Ariel - Volume 6 Number 4 (Alternate Version)
Editors
Mark Dembert
J.D. Kanofsky
Frank Chervenak
John Lammie
Curt Cummings
Entertainment
Robert Breckenridge
Joe Conti
Gary Kaskey
Photographer
Larry Glazerman
Overseas Editor
Mike Sinason
Humorist
Jim McCann
Staff
Kenn Jaffe
Bob Sklaroff
Halley Faust
Jim Burke
Jay Amsterdam
Morton A. Klein
Nancy Redfer
VLSJ Members Fall 2017
Performers: Bing Crosby, Bob Hope, Dorothy LamourPiano, Voice and Chord
Lodgepole pine management guidelines for land managers in the wildland-urban interface
As a consequence of the current mountain pine beetle epidemic, many landowners and land managers are concerned about how to actively manage lodgepole pine stands. The following guidelines cover treating the dead standing trees killed by the insects, protecting homes and communities from wildfire, and ensuring that the future forest is better structured to prevent widespread mortality from insect epidemics and wildfire
Prehospital Triage Strategies for the Transportation of Suspected Stroke Patients in the United States
BACKGROUND AND PURPOSE: Ischemic stroke patients with large vessel occlusion (LVO) could benefit from direct transportation
to an intervention center for endovascular treatment, but non-LVO patients need rapid IV thrombolysis in the nearest center.
Our aim was to evaluate prehospital triage strategies for suspected stroke patients in the United States.
METHODS: We used a decision tree model and geographic information system to estimate outcome of suspected stroke
patients transported by ambulance within 4.5 hours after symptom onset. We compared the following strategies: (1) Always
to nearest center, (2) American Heart Association algorithm (ie, directly to intervention center if a prehospital stroke scale
suggests LVO and total driving time from scene to intervention center is <30 minutes, provided that the delay would not
exclude from thrombolysis), (3) modified algorithms with a maximum additional driving time to the intervention center of <30
minutes, <60 minutes, or without time limit, and (4) always to intervention center. Primary outcome was the annual number
of good outcomes, defined as modified Rankin Scale score of 0â2. The preferred strategy was the one that resulted in the
best outcomes with an incremental number needed to transport to intervention center (NNTI) <100 to prevent one death or
severe disability (modified Rankin Scale score of >2).
RESULTS: Nationwide implementation of the American Heart Association algorithm increased the number of good outcomes
by 594 (+1.0%) compared with transportation to the nearest center. The associated number of non-LVO patients transported
to the intervention center was 16714 (NNTI 28). The modified algorithms yielded an increase of 1013 (+1.8
Outcome Prediction Models for Endovascular Treatment of Ischemic Stroke:Systematic Review and External Validation
BACKGROUND AND PURPOSE: Prediction models for outcome of patients with acute ischemic stroke who will undergo endovascular treatment have been developed to improve patient management. The aim of the current study is to provide an overview of preintervention models for functional outcome after endovascular treatment and to validate these models with data from daily clinical practice. METHODS: We systematically searched within Medline, Embase, Cochrane, Web of Science, to include prediction models. Models identified from the search were validated in the MR CLEAN (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands) registry, which includes all patients treated with endovascular treatment within 6.5 hours after stroke onset in the Netherlands between March 2014 and November 2017. Predictive performance was evaluated according to discrimination (area under the curve) and calibration (slope and intercept of the calibration curve). Good functional outcome was defined as a score of 0â2 or 0â3 on the modified Rankin Scale depending on the model. RESULTS: After screening 3468 publications, 19 models were included in this validation. Variables included in the models mainly addressed clinical and imaging characteristics at baseline. In the validation cohort of 3156 patients, discriminative performance ranged from 0.61 (SPAN-100 [Stroke Prognostication Using Age and NIH Stroke Scale]) to 0.80 (MR PREDICTS). Best-calibrated models were THRIVE (The Totaled Health Risks in Vascular Events; intercept â0.06 [95% CI, â0.14 to 0.02]; slope 0.84 [95% CI, 0.75â0.95]), THRIVE-c (intercept 0.08 [95% CI, â0.02 to 0.17]; slope 0.71 [95% CI, 0.65â0.77]), Stroke Checkerboard score (intercept â0.05 [95% CI, â0.13 to 0.03]; slope 0.97 [95% CI, 0.88â1.08]), and MR PREDICTS (intercept 0.43 [95% CI, 0.33â0.52]; slope 0.93 [95% CI, 0.85â1.01]). CONCLUSIONS: The THRIVE-c score and MR PREDICTS both showed a good combination of discrimination and calibration and were, therefore, superior in predicting functional outcome for patients with ischemic stroke after endovascular treatment within 6.5 hours. Since models used different predictors and several models had relatively good predictive performance, the decision on which model to use in practice may also depend on simplicity of the model, data availability, and the comparability of the population and setting
LSST: from Science Drivers to Reference Design and Anticipated Data Products
(Abridged) We describe here the most ambitious survey currently planned in
the optical, the Large Synoptic Survey Telescope (LSST). A vast array of
science will be enabled by a single wide-deep-fast sky survey, and LSST will
have unique survey capability in the faint time domain. The LSST design is
driven by four main science themes: probing dark energy and dark matter, taking
an inventory of the Solar System, exploring the transient optical sky, and
mapping the Milky Way. LSST will be a wide-field ground-based system sited at
Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m
effective) primary mirror, a 9.6 deg field of view, and a 3.2 Gigapixel
camera. The standard observing sequence will consist of pairs of 15-second
exposures in a given field, with two such visits in each pointing in a given
night. With these repeats, the LSST system is capable of imaging about 10,000
square degrees of sky in a single filter in three nights. The typical 5
point-source depth in a single visit in will be (AB). The
project is in the construction phase and will begin regular survey operations
by 2022. The survey area will be contained within 30,000 deg with
, and will be imaged multiple times in six bands, ,
covering the wavelength range 320--1050 nm. About 90\% of the observing time
will be devoted to a deep-wide-fast survey mode which will uniformly observe a
18,000 deg region about 800 times (summed over all six bands) during the
anticipated 10 years of operations, and yield a coadded map to . The
remaining 10\% of the observing time will be allocated to projects such as a
Very Deep and Fast time domain survey. The goal is to make LSST data products,
including a relational database of about 32 trillion observations of 40 billion
objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures
available from https://www.lsst.org/overvie
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