Forecasting Operation Metrics for Virtualized Network Functions

Network Function Virtualization (NFV) is the key technology that allows modern network operators to provide flexible and efficient services, by leveraging on general-purpose private cloud infrastructures. In this work, we investigate the performance of a number of metric forecasting techniques based on machine learning and artificial intelligence, and provide insights on how they can support the decisions of NFV operation teams. Our analysis focuses on both infrastructure-level and service-level metrics. The former can be fetched directly from the monitoring system of an NFV infrastructure, whereas the latter are typically provided by the monitoring components of the individual virtualized network functions. Our selected forecasting techniques are experimentally evaluated using real-life data, exported from a production environment deployed within some Vodafone NFV data centers. The results show what the compared techniques can achieve in terms of the forecasting accuracy and computational cost required to train them on production data

High Prevalence of Arcobacter Carriage in Older Subjects with Type 2 Diabetes

Arcobacters are potential pathogens related to diarrheic infections and, rarely, septicaemia. This study evaluated the prevalence of arcobacters in stool samples of subjects with (n = 38) and without (n = 61) type 2 diabetes by using cultural and molecular techniques. Three Arcobacter positive cultures were found, all among diabetic subjects, whereas molecular analysis showed a carriage rate of 79% and 26.2% in subjects with and without type 2 diabetes (P < .001), respectively. The multivariate analysis showed that type 2 diabetes (β = 1.913; 95%CI: 2.378–19.285; P < .0001) and age (β = 1.744; 95%CI: 2.077–15.766; P = .001) were the only factors independently associated with arcobacters colonization in this population. Our study demonstrated a high prevalence of arcobacters colonization in type 2 diabetic and older subjects. The clinical significance and the potential health risk associated with these emerging species remain to be determined

Oxidative Stress: Harms and Benefits for Human Health

Oxidative stress is a phenomenon caused by an imbalance between production and accumulation of oxygen reactive species (ROS) in cells and tissues and the ability of a biological system to detoxify these reactive products. ROS can play, and in fact they do it, several physiological roles (i.e., cell signaling), and they are normally generated as by-products of oxygen metabolism; despite this, environmental stressors (i.e., UV, ionizing radiations, pollutants, and heavy metals) and xenobiotics (i.e., antiblastic drugs) contribute to greatly increase ROS production, therefore causing the imbalance that leads to cell and tissue damage (oxidative stress). Several antioxidants have been exploited in recent years for their actual or supposed beneficial effect against oxidative stress, such as vitamin E, flavonoids, and polyphenols. While we tend to describe oxidative stress just as harmful for human body, it is true as well that it is exploited as a therapeutic approach to treat clinical conditions such as cancer, with a certain degree of clinical success. In this review, we will describe the most recent findings in the oxidative stress field, highlighting both its bad and good sides for human health

Chiral separation of amino acids derivatised with fluorescein isothiocyanate by single isomer derivatives 3-monodeoxy-3-monoamino-β- and γ-cyclodextrins: the effect of the cavity size

Thirteen enantiomeric pairs of α-amino acids derivatised with fluorescein isothiocyanate (FITC-AAs) were separated in capillary electrophoresis (CE) using as chiral selectors the single isomer derivatives (SIDs) 3-monodeoxy-3-monoamino-β- and γ-cyclodextrins. The chiral separation data obtained by these strictly homologous compounds, show different behaviours, allowing to hypothesise a possible structure of the obtained selector-analyte complexes, as well as highlighting the crucial role of the cavity size and the significant effects on the resolution obtained by small differences in the structural characteristics of these analytes. © 2012 Elsevier B.V.Peer Reviewe

Numerical prediction of ventilated planing flat plates for the design of Air Cavity Ships

In recent years, a great world issue is the respect for the environment. Each researcher, in his competence field, proposes new technologies and new approaches in order to reduce the environmental impact of a product or of an industrial process. In the naval field, the main way in order to reduce the environmental impact of the ship during the navigation is the reduction of the drag resistance and so the reduction of requested power. There are many ways in order to obtain a reduction of drag. This paper investigates, with a preliminary numerical study by means of Computational Fluid Dynamics (CFD), the Air Cavity Ships technology (ACS). A first part of the paper concerns the study of the rising bubble phenomenon inside a water column, in order to choice the better solver settings and understand if the CFD is suitable for this kind of problem. In this phase the main parameters analyzed are: the air critical mass, the rising velocity, the shape and the air circulation inside the bubble. In the second part of the work, a flat plate model with artificial air injection is conducted in order to understand the possible advantages of this application. The principal impacts of this technology are presented in terms of drag coefficient and lift coefficient respect to trim and velocity coefficient. The CFD method could be a suitable and fast method, in the preliminary phase, for the design of the ACS

A preliminary method for the numerical prediction of the behavior of air bubbles in the design of air cavity ships

Air-cavity ships (ACS) are advanced marine vehicles that use air injection under hull to improve the vessel’s hydrodynamic characteristics. Although the concept of drag reduction by supplying gas under the ship’s bottom was proposed in the 19th century by Froude and Laval, at this time there are not many systematic studies on this subject. This paper is a preliminary work with the purpose of being a basic tool for the design of the ACS with computational fluid dynamic methods. The study aims to conduct a series of computational tests to compare the numerical models of bubble with experimental data. The first step of this study was to investigate the behavior of free bubble in water, considering as parameters the critical mass of air, the rising speed and aspect ratio of the bubble. Then it is evaluated the interaction bubble-flat plate in order to obtain a reliable prediction of the behavior of air bubbles under the hull

Chiral analysis of amino acids from conventional and transgenic yeasts

Autolysis of Saccharomyces cerevisiae yeast is the main source of molecules that contribute to the quality of sparkling wines made by the traditional method. In this work, a genetically modified yeast (LS11) is compared to its isogenic wild type strain (BY4741) after autolysis. Chiral micellar electrokinetic chromatography with laser-induced fluorescence detection (chiral-MEKC–LIF) is used to identify and quantify the main d- and l-amino acids from both strains after accelerated autolysis. The procedure includes amino acids extraction, derivatization with FITC and chiral-MEKC–LIF separation in a background electrolyte composed of 100 mM sodium tetraborate, 30 mM SDS, 20 mM β-CD at pH 10.0. The d- and l-forms of Arg, Asn, Ala, Glu and Asp, corresponding to the major amino acids found in these samples, are separated in less than 30 min with efficiencies up to 800,000 plates/m and high sensitivity (i.e., LODs as low as 40 nM were obtained for d-Arg for a signal to noise ratio of three). From these results it is corroborated that the genetic modification brings a faster autolysis of the yeast, releasing a higher amount of l-amino acids to the medium in a short time. Interestingly, the pattern of release of d-amino acids was also different between the transgenic and the conventional yeast strains.This work was supported by Projects AGL2005-05320-C02-01 and Consolider Ingenio 2010 CSD2007-00063 FUN-C-FOOD (Ministerio de Educación y Ciencia), S-505/AGR-0153 (ALIBIRD, Comunidad de Madrid) and HA2006-0057 (Ministerio de Educación y Ciencia).Peer reviewe