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Among the significant advances in mobile network technology, as evident in the latest 3GPP releases, one of the most notable is the possibility to do aggregation between licensed and unlicensed carriers. With LTE transmitting over unlicensed bands, obvious concerns of a fair co- existence with other preexisting technologies have risen up. In this study, we aim to evaluate the impact of LTE transmission on the key mechanism of Clear Channel Assessment (CCA), which is common to several unlicensed systems, amongst which Wi-Fi is the most notable. Relying on the statistical tool of stochastic geometry and a semianalytical approach, we will obtain the probabilities of Wi-Fi preamble false alarm and detection under a wide set of realistic propagation effects, such as path-loss and Rayleigh distributed fading. Above all, we will model the effect of a single LTE downlink interfering transmission, as well as the aggregate interference effect. Hence, we shall be able to evaluate the modified energy detection threshold that has been long debated between 3GPP and IEEE 802.11 Working Groups.

Objective: Vein of Galen aneurysmal malformation (VGAM) is a rare fetal anomaly, the neurological outcome of which can be good with appropriate perinatal management. However, most fetal series are too small to allow reliable statistical assessment of potential prognostic indicators. Our aim was to assess, in a two-center series of 49 cases, the prognostic value of several prenatal variables, in order to identify possible prenatal indicators of poor outcome, in terms of mortality and cerebral disability. Methods: This was a retrospective study involving 49 cases of VGAM diagnosed prenatally and managed at two centers over a 17-year period (1999–2015). All cases had undergone detailed prenatal cerebral and cardiac assessment by grayscale ultrasound, color and pulsed-wave Doppler and magnetic resonance imaging (MRI). Ultrasound and MRI examination reports and images were reviewed and outcome information was obtained from medical reports. Volume of the VGAM (on ultrasound and MRI) was calculated and development of straight-sinus dilatation, ventriculomegaly and other major brain abnormalities was noted. Cardiothoracic ratio, tricuspid regurgitation and reversed blood flow across the aortic isthmus were evaluated on fetal echocardiography. Major brain lesions were considered by definition to be associated with poor outcome in all cases. Pregnancy and fetoneonatal outcome were known in all cases. Fetoneonatal outcome and brain damage were considered as dependent variables in the statistical evaluation. Poor outcome was defined as death, late termination of pregnancy due to association with related severe brain anomalies or severe neurological impairment. Results: At a mean follow-up time of 20 (range, 0–72) months, 36.7% of the whole series and 52.9% of the cases which did not undergo late termination were alive and free of adverse sequelae. Five (10.2%) cases showed progression of the lesion between diagnosis and delivery. On univariate analysis, dilatation of the straight sinus, VGAM volume ≥ 20 000 mm3 and tricuspid regurgitation were all significantly related to poor outcome. However, on logistic regression analysis, the only variables associated significantly with poor outcome were tricuspid regurgitation and, to a lesser extent, VGAM volume ≥ 20 000 mm3. The former was also the only variable associated with brain damage. Conclusions: Major brain lesions, tricuspid regurgitation and, to a lesser extent, VGAM volume ≥ 20 000 mm3 are the only prenatal variables associated with poor outcome in fetal VGAM. Prenatal multidisciplinary counseling should be based on these variables. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

Effective fermentation monitoring is a growing need due to the rapid pace of change in the wine industry, which calls for fast methods providing real time information in order to assure the quality of the final product. The objective of this work is to investigate the potential of non-destructive techniques associated with chemometric data analysis, to monitor time-related changes that occur during red wine fermentation. Eight micro-fermentation trials conducted in the Valtellina region (Northern Italy) during the 2009 vintage, were monitored by a FT-NIR and a FT-IR spectrometer and by an electronic nose and tongue. The spectroscopic technique was used to investigate molecular changes, while electronic nose and electronic tongue evaluated the evolution of the aroma and taste profile during the must-wine fermentation. Must-wine samples were also analysed by traditional chemical methods in order to determine sugars (glucose and fructose) consumption and alcohol (ethanol and glycerol) production. Principal Component Analysis was applied to spectral, electronic nose and electronic tongue data, as an exploratory tool, to uncover molecular, aroma and taste modifications during the fermentation process. Furthermore, the chemical data and the PC1 scores from spectral, electronic nose and electronic tongue data were modelled as a function of time to identify critical points during fermentation. The results showed that NIR and MIR spectroscopies are useful to investigate molecular changes involved in wine fermentation while electronic nose and electronic tongue can be applied to detect the evolution of taste and aroma profile. Moreover, as demonstrated through the modeling of NIR, MIR, electronic nose and electronic tongue data, these non destructive methods are suitable for the monitoring of must-wine fermentation giving crucial information about the quality of the final product in agreement with chemical parameters. Although in this study the measurements were carried out in off-line mode, in future these non destructive techniques could be valid and simple tools, able to provide in-time information about the fermentation process and to assure the quality of wine. (C) 2011 Elsevier B.V. All rights reserved.