What you should know about Zika virus testing : for pregnant women who may have been exposed to Zika 2-12 weeks ago

If you or your sex partner live in or recently traveled to an area with Zika, you may have been exposed to Zika. You may havequestions about Zika and how to find out if you\ue2\u20ac\u2122ve been infected. Learn more about Zika virus testing for pregnant womenand what you might expect if you have Zika virus during pregnancy.CS272943Date printed on piece: December 20, 2016.Date from document properties: modified 1/4/2017igm.pd

Integrated core–SOL–divertor modelling for ITER including impurity: effect of tungsten on fusion performance in H-mode and hybrid scenario

The compatibility of two operational constraints—operation above the L–H power threshold and at low power to divertor—is examined for ITER long pulse H-mode and hybrid scenarios in integrated core–scrape off layer (SOL)–divertor modelling including impurities (intrinsic Be, He, W and seeded Ne). The core thermal, particle and momentum transport is simulated with the GLF23 transport model tested in the self-consistent simulations of temperatures, density and toroidal rotation velocity in JET hybrid discharges and extrapolated to ITER. The beneficial effect of toroidal rotation velocity on fusion gain is shown. The sensitivity studies with respect to operational (separatrix and pedestal density, Ne gas puff) and unknown physics (W convective velocity and perpendicular diffusion in SOL as well as W prompt re-deposition) parameters are performed to determine their influence on the operational window and fusion gain.</p

Modelling of JET hybrid scenarios with GLF23 transport model: E × B shear stabilization of anomalous transport

The E&nbsp;×&nbsp;B shear stabilization of anomalous transport in JET hybrid discharges is studied via self-consistent predictive modelling of electron and ion temperature, ion density and toroidal rotation velocity performed with the GLF23 model. The E&nbsp;×&nbsp;B shear stabilization factor (parameter α E in the GLF23 model) is adjusted to predict accurately the four simulated quantities under different experimental conditions, and the uncertainty in α E determined by 15% deviation between simulated and measured quantities is estimated. A correlation of α E with toroidal rotation velocity and E&nbsp;×&nbsp;B shearing rate is found in the low density plasmas, suggesting that the turbulence quench rule may be more complicated than assumed in the GLF23 model with constant α E . For the selected discharges the best predictive accuracy is obtained by using weak/no E&nbsp;×&nbsp;B shear stabilization (i.e. α E&nbsp;≈&nbsp;0) at low toroidal angular frequency (Ω&nbsp;&lt;&nbsp;60&nbsp;krad&nbsp;s −1 ), even in the scenarios with the current overshoot, and α E&nbsp;=&nbsp;0.9 at high frequency (Ω&nbsp;&gt;&nbsp;100&nbsp;krad&nbsp;s −1 ). Interestingly, a weak E&nbsp;×&nbsp; B shear stabilization of anomalous transport is found in the medium density strongly rotating discharge. An importance of linear β e stabilization in this discharge is estimated and compared to the low density discharge with equally high β e . The toroidal rotation velocity is well predicted here by assuming that the momentum diffusion coefficient is a fraction of thermal ion diffusivity. Taking into account the α E and Prandtl number with their uncertainties determined in the modelling of JET hybrid discharges, the performance of ITER hybrid scenario with optimized heat mix (33&nbsp;MW of NBI and 20&nbsp;MW of ECCD) is estimated showing the importance of toroidal rotation for achieving Q &nbsp;&gt;&nbsp;5.</p

Hypoxia inducible factor 1 alpha down regulates cell surface expression of alpha 1,2-fucosylated glycans in human pancreatic adenocarcinoma cells

AbstractThe α1,2-fucosyltransferase activity in pancreatic tumors is much lower compared to normal pancreatic tissue. Here we show that hypoxia inducible factor (HIF) 1α is constitutively expressed in the pancreatic cancer cell lines Pa-Tu-8988S and Pa-Tu-8988T and suppresses the expression of the α1,2-fucosyltransferase genes FUT1 and FUT2. Down regulation of HIF-1α expression resulted in elevated FUT1 and FUT2 transcript levels and an increased expression of α1,2-fucosylated glycan structures on the surface of these cells. In conclusion, our data are the first to identify HIF-1α as a suppressor of FUT1/2 expression, thereby regulating α1,2-fucosylation of cell-surface glycans

Modelling of plasma performance and transient density behaviour in the H-mode access for ITER gas fuelled scenarios

ITER operations require effective fuelling of the core plasma for conditions in which neutral dynamics through the scrape-off layer is expected to significantly affect the efficiency of gas penetration. On the basis of the previous analysis for stationary conditions, pellets are foreseen to provide core fuelling of high-Q DT scenarios. In this paper we present a modelling study of the gas fuelling efficiency in ITER providing an estimate of the maximum plasma density achievable with gas fuelling only in various DT reference scenarios. Dynamical integrated core-edge plasma simulations for various phases of ITER DT H-mode discharges have been carried out with the JINTRAC suite of codes. Simulations of the L-mode phase show that divertor detachment sets the maximum density achievable at the separatrix by deuterium-tritium gas fuelling. The maximum volume-average density is achieved for 15 MA/5.3 T and it is close to the requirement for stationary application of neutral beam injection heating at full power (16.5 MW per injector) and ion energy (1 MeV) compatible with acceptable shine-through loads on the first wall. The achievable density in gas fuelled H-modes is typically a factor of 2-3 larger than in L-modes. The fusion performance of gas fuelled H-modes at 15 MA is typically found to be moderately high (Q ∼ 6-8). Sensitivity of the above predictions to modelling assumptions and validation of the physics models are discussed