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PurposeTo investigate vascular features on abdominal Computed-Tomography Angiography (CTA) correlated with 48-h mortality in patients who underwent arterial acute intestinal ischemia (AAII) surgery. The secondary objective was to create a prognostic score on the 48-h mortality after surgery, based on the most relevant signs.MethodWe included 104 patients who underwent surgery for acute mesenteric ischemia. 2 radiologists retrospectively blind reviewed the preoperative CTA scans. They used a standardized analysis grid for the arterial and venous vascular signs described in angiography. When signs were present, the affected abdominal quadrant was specified in coronal reconstruction. Each sign was analyzed for 48-h mortality on CTA. A score based on signs correlated with early mortality was developed and evaluated by ROC curve analysis.Results22 patients died within 48 h. The number of superior mesenteric artery (SMA) branches was significantly reduced in deceased patients (p = 0.006). Other prognostic factors associated with 48-h mortality were decreased venous return in area number 1 corresponding to right colic flexure, proximal half of the transverse colon, proximal ileum (p = 0.04) and decreased venous return in more than 2 zones (p = 0.01). The weighted AAII48 score included 1 protective clinical item and 5 radiological items. The area under the ROC curve was 0.784 with, for a 6-point threshold value, a sensitivity of 68% and a specificity of 77%. The intraclass correlation coefficient for interobserver reproducibility of the score was 0.81 [95% CI 0.73; 0.87].ConclusionThree vascular signs on CTA were found to be prognostic factors for early mortality: SMA branches number ≤ 5 (p = 0.006), decreased venous return in area 1 (p = 0.04), and > 2 areas of decreased venous return (p = 0.01). They were incorporated into the AAII48 score. This score could help to identify patients at risk and to adapt subsequent management. Graphic abstract

The low wind effect (LWE) refers to a characteristic set of quasi-static wavefront aberrations seen consistently by the SPHERE instrument when dome-level wind speeds drop below 3 m/s. This effect produces bright low-order speckles in the stellar PSF, which severely limit the contrast performance of SPHERE under otherwise optimal observing conditions. In this paper we propose the Fast & Furious (F&F) phase diversity algorithm as a viable software-only solution for real-time LWE compensation, which would utilise image sequences from the SPHERE differential tip-tilt sensor (DTTS). We evaluated the closed-loop performance of F&F on the MITHIC high-contrast test-bench under a variety of conditions emulating LWE-affected DTTS images, in order to assess the expected performance of an on-sky implementation of F&F in SPHERE. The algorithm was found to be capable of returning such LWE-affected images to Strehl ratios of greater than 90% within five iterations, for all appropriate laboratory test cases. These results are highly representative of predictive simulations, and demonstrate the stability of the algorithm against a wide range of factors including low image signal-to-noise ratio (S/N), small image field of view, and amplitude errors. It was also found in simulation that closed-loop stability can be preserved down to image S/N as low as five while still improving overall wavefront quality, allowing for reliable operation even on faint targets. The Fast & Furious algorithm is an extremely promising solution for real-time compensation of the LWE, which can operate simultaneously with science observations and may be implemented in SPHERE without requiring additional hardware. The robustness and relatively large effective dynamic range of F&F also make it suitable for general wavefront optimisation applications, including the co-phasing of segmented ELT-class telescopes.

Young giant exoplanets emit infrared radiation that can be linearly polarized up to several percent. This linear polarization can trace: 1) the presence of atmospheric cloud and haze layers, 2) spatial structure, e.g. cloud bands and rotational flattening, 3) the spin axis orientation and 4) particle sizes and cloud top pressure. We introduce a novel high-contrast imaging scheme that combines angular differential imaging (ADI) and accurate near-infrared polarimetry to characterize self-luminous giant exoplanets. We implemented this technique at VLT/SPHERE-IRDIS and developed the corresponding observing strategies, the polarization calibration and the data-reduction approaches. By combining ADI and polarimetry we can characterize planets that can be directly imaged with a very high signal-to-noise ratio. We use the IRDIS pupil-tracking mode and combine ADI and principal component analysis to reduce speckle noise. We take advantage of IRDIS' dual-beam polarimetric mode to eliminate differential effects that severely limit the polarimetric sensitivity (flat-fielding errors, differential aberrations and seeing), and thus further suppress speckle noise. To correct for instrumental polarization effects, we apply a detailed Mueller matrix model that describes the telescope and instrument and that has an absolute polarimetric accuracy \\(\\leq0.1\\%\\). Using this technique we have observed the planets of HR 8799 and the (sub-stellar) companion PZ Tel B. Unfortunately, we do not detect a polarization signal in a first analysis. We estimate preliminary \\(1\\sigma\\) upper limits on the degree of linear polarization of \\(\\sim1\\%\\) and \\(\\sim0.1\\%\\) for the planets of HR 8799 and PZ Tel B, respectively. The achieved sub-percent sensitivity and accuracy show that our technique has great promise for characterizing exoplanets through direct-imaging polarimetry.

A worldwide consensus has emerged that hydrogen and fuel cells are \"the\" solution, in the context of sustainable development, to the quest for an alternative to petroleum. Very simply put, the automobile of the future will be electric-powered. Automakers represent the industry most involved in research on fuel cells and hydrogen as a source of energy; but other applications are also under study. This technology could become competitive on the automobile market by about 2015.