680 research outputs found
Tenecteplase for the treatment of acute ischemic stroke: a review of completed and ongoing randomized controlled trials
Alteplase has been the mainstay of thrombolytic treatment since the National Institutes of Neurological Disorders and
Stroke trial was published in 1995. Over recent years, several trials have investigated alternative thrombolytic agents.
Tenecteplase, a genetically engineered mutant tissue plasminogen activator, has a longer half-life, allowing single intravenous
bolus administration without infusion, is more fibrin specific, produces less systemic depletion of circulating
fibrinogen, and is more resistant to plasminogen activator inhibitor compared to alteplase. Tenecteplase is established as
the first-line intravenous thrombolytic drug for myocardial infarction, where it has been shown to achieve comparable
reperfusion with reduced risk of systemic bleeding in comparison to alteplase. We review the literature on tenecteplase
for the treatment of acute ischemic stroke, with a focus on the major completed and ongoing trials. Overall, tenecteplase
shows promise for treatment of acute ischemic stroke, both in populations currently eligible for alteplase and also in
groups not currently treated with thrombolysis
Excitation spectrum of vortex lattices in rotating Bose-Einstein condensates
Using the coarse grain averaged hydrodynamic approach, we calculate the
excitation spectrum of vortex lattices sustained in rotating Bose-Einstein
condensates. The spectrum gives the frequencies of the common-mode longitudinal
waves in the hydrodynamic regime, including those of the higher-order
compressional modes. Reasonable agreement with the measurements taken in a
recent JILA experiment is found, suggesting that one of the longitudinal modes
reported in the experiment is likely to be the , mode.Comment: 2 figures. Submitted to Physical Review A. v2 contains more
references. No change in the main resul
Nonlinear dynamics for vortex lattice formation in a rotating Bose-Einstein condensate
We study the response of a trapped Bose-Einstein condensate to a sudden
turn-on of a rotating drive by solving the two-dimensional Gross-Pitaevskii
equation. A weakly anisotropic rotating potential excites a quadrupole shape
oscillation and its time evolution is analyzed by the quasiparticle projection
method. A simple recurrence oscillation of surface mode populations is broken
in the quadrupole resonance region that depends on the trap anisotropy, causing
stochastization of the dynamics. In the presence of the phenomenological
dissipation, an initially irrotational condensate is found to undergo damped
elliptic deformation followed by unstable surface ripple excitations, some of
which develop into quantized vortices that eventually form a lattice. Recent
experimental results on the vortex nucleation should be explained not only by
the dynamical instability but also by the Landau instability; the latter is
necessary for the vortices to penetrate into the condensate.Comment: RevTex4, This preprint includes no figures. You can download the
complete article and figures at
http://matter.sci.osaka-cu.ac.jp/bsr/cond-mat.htm
Coherently Scattering Atoms from an Excited Bose-Einstein Condensate
We consider scattering atoms from a fully Bose-Einstein condensed gas. If we
take these atoms to be identical to those in the Bose-Einstein condensate, this
scattering process is to a large extent analogous to Andreev reflection from
the interface between a superconducting and a normal metal. We determine the
scattering wave function both in the absence and the presence of a vortex. Our
results show a qualitative difference between these two cases that can be
understood as due to an Aharonov-Bohm effect. It leads to the possibility to
experimentally detect and study vortices in this way.Comment: 5 pages of ReVTeX and 2 postscript figure
Testing the Validity of Simulated Strong Ground Motion from the Dynamic Rupture of a Finite Fault, by Using Empirical Equations
PREDICTING THE SUMMER TEMPERATURE OF SMALL STREAMS IN SOUTHWESTERN WISCONSIN 1
One of the biggest challenges in managing cold water streams in the Midwest is understanding how stream temperature is controlled by the complex interactions among meteorologic processes, channel geometry, and ground water inflow. Inflow of cold ground water, shade provided by riparian vegetation, and channel width are the most important factors controlling summer stream temperatures. A simple screening model was used to quantitatively evaluate the importance of these factors and guide management decisions. The model uses an analytical solution to the heat transport equation to predict steady-state temperature throughout a stream reach. The model matches field data from four streams in southwestern Wisconsin quite well (typically within 1°C) and helps explain the observed warming and cooling trends along each stream reach. The distribution of ground water inflow throughout a stream reach has an important influence on stream temperature, and springs are especially effective at providing thermal refuge for fish. Although simple, this model provides insight into the importance of ground water and the impact different management strategies, such as planting trees to increase shade, may have on summer stream temperature.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/74032/1/j.1752-1688.2005.tb03714.x.pd
Equations for the estimation of strong ground motions from shallow crustal earthquakes using data from Europe and the Middle East : vertical peak ground acceleration and spectral acceleration
This article presents equations for the estimation of vertical strong ground motions caused by shallow crustal earthquakes with magnitudes M w 5 and distance to the surface projection of the fault less than 100km. These equations were derived by weighted regression analysis, used to remove observed magnitude-dependent variance, on a set of 595 strong-motion records recorded in Europe and the Middle East. Coefficients are included to model the effect of local site effects and faulting mechanism on the observed ground motions. The equations include coefficients to model the observed magnitude-dependent decay rate. The main findings of this study are that: short-period ground motions from small and moderate magnitude earthquakes decay faster than the commonly assumed 1/r, the average effect of differing faulting mechanisms is similar to that observed for horizontal motions and is not large and corresponds to factors between 0.7 (normal and odd) and 1.4 (thrust) with respect to strike-slip motions and that the average long-period amplification caused by soft soil deposits is about 2.1 over those on rock sites
Automated final lesion segmentation in posterior circulation acute ischemic stroke using deep learning
Automated final lesion segmentation in posterior circulation acute ischemic stroke using deep learning
Final lesion volume (FLV) is a surrogate outcome measure in anterior circulation stroke (ACS). In posterior circulation stroke (PCS), this relation is plausibly understudied due to a lack of methods that automatically quantify FLV. The applicability of deep learning approaches to PCS is limited due to its lower incidence compared to ACS. We evaluated strategies to develop a convolutional neural network (CNN) for PCS lesion segmentation by using image data from both ACS and PCS patients. We included follow-up non-contrast computed tomography scans of 1018 patients with ACS and 107 patients with PCS. To assess whether an ACS lesion segmentation generalizes to PCS, a CNN was trained on ACS data (ACS-CNN). Second, to evaluate the performance of only including PCS patients, a CNN was trained on PCS data. Third, to evaluate the performance when combining the datasets, a CNN was trained on both datasets. Finally, to evaluate the performance of transfer learning, the ACS-CNN was fine-tuned using PCS patients. The transfer learning strategy outperformed the other strategies in volume agreement with an intra-class correlation of 0.88 (95% CI: 0.83–0.92) vs. 0.55 to 0.83 and a lesion detection rate of 87% vs. 41–77 for the other strategies. Hence, transfer learning improved the FLV quantification and detection rate of PCS lesions compared to the other strategies
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