Performances of a new directional optical module

Abstract The goal of the future KM3NeT neutrino telescope in the Mediterranean Sea is the investigation of the high energy component of the cosmic neutrino spectrum: a promising tool to better understand the mechanisms that generate extreme energy cosmic rays. Neutrino energy and direction will be reconstructed using the Cherenkov light produced in water by neutrino induced muons. In the framework of the EU funded KM3NeT Design Study, a new design for a large (10″) 4-anode photomultiplier has been developed. A prototype manufactured by Hamamatsu has been integrated into a spherical glass pressure-resistant optical module. It will be used for the first time to detect the direction of the detected Cherenkov light at one of the candidate site for KM3NeT, near Capo Passero in Sicily. The photocathode surface in these optical modules has been effectively divided into four quadrants by a pair of crescent shaped mirrors embedded in the optical gel linking the photomultiplier to the glass sphere. A series of measurements was performed at the testing facility of the NEMO group in Genova. The light collection and the angular response of the prototype have been studied, to have a complete characterisation and allow a comparison with previous models. The results of tests of the optical module are presented here

Digital Dental Models: Is Photogrammetry an Alternative to Dental Extraoral and Intraoral Scanners?

Background: 3D models are nowadays part of daily clinical practice. Photogrammetry is a brand-new method for transforming small objects into 3D models while keeping their original shape and size. The aim of this study was to evaluate the accuracy, in terms of precision and trueness, of a digital dental model acquired with photogrammetry compared with those obtained using extraoral scanners and intraoral scanners, starting from the same plaster model. Methods: A plaster model was converted into a digital model using photogrammetry, an extraoral scanner and an intraoral scanner. Different references were measured twice at a distance of 30 min for each model, on the digital models using the software Blender and on the plaster model using a calibre. The Interclass Correlation Coefficient was calculated for each pair of measurements. A volumetric analysis was performed by superimposing the digital models. The coefficient of variation was calculated. A two-way ANOVA test was conducted. Results: For each reference, the coefficient of variation was less than 3%, and the two ANOVA tests resulted in a non-significant value in both cases (p > 0.05). The volumetric analysis demonstrated good agreement between the models derived from the different acquisition methods. Conclusions: Photogrammetry seems to be a good method for acquiring digital models starting from a plaster model, all the methods tested seem to be good for obtaining an accurate three-dimensional digital model. Other studies are needed to evaluate clinical efficacy

Effetti di tipologie di suolo e colture foraggere sulle perdite per ruscellamento di azoto, fosforo e potassio in differenti areali italiani

Le colture foraggere svolgono un ruolo importante in molti areali italiani. Per una corretta pianificazione del territorio agricolo è necessario approfondire la conoscenza non solo delle caratteristiche produttive di queste colture, ma anche dei loro rapporti con l'ambiente. Questo lavoro prende in considerazione le perdite di azoto, fosforo e potassio dovute al ruscellamento in colture foraggere a diverso livello di intensificazione (dal pascolo alla coltura di erba medica, dal mais al doppio ciclo di mais e loiessa) in tre ambienti italiani: la Pianura Padana nord-occidentale, l'Appennino Toscano e la pianura sarda, con suoli varianti da franco-sabbioso a franco-argilloso. Il monitoraggio quanti-qualitativo del ruscellamento è stato fatto per periodi variabili da due a sei anni. La pendenza era dello 0,5% per gli appezzamenti in Piemonte e Sardegna e del 10% in Toscana. Per quanto riguarda l'azoto i rilasci sono risultati più bassi nei terreni più pianeggianti, anche per i ridotti volumi di ruscellamento registrati, non superando mai 15 kg di N ha -1 anno -1. Nei terreni in pendenza si sono invece registrati valori più elevati, con un massimo annuale di circa 30 kg ha -1 anno -1 di azoto, in relazione anche all'elevato ruscellamento ed erosione di un evento eccezionale. Per il fosforo solo in pochi casi si sono raggiunte perdite di 5 kg ha -1 anno -1, mentre nella maggior parte dei casi non sono stati superati 2 kg ha -1 anno -1. In Sardegna i rilasci di tale elemento sono da considerarsi pressoché trascurabili. Le perdite di potassio sono risultate minime in Sardegna e massime in Piemonte, dove si sono registrati valori dell' ordine di 10 kg ha -1 anno -1. Ove era possibile il confronto, si è verificato che le colture prative riducono il rilascio di elementi nutritivi rispetto alla coltura del mais e che la qualità delle acque di superficie appare legata piuttosto alle tecniche colturali che alla tipologia di suolo. Fodder crops play an important role in many Italian environments. The knowledge of the main productive characteristics of these crops is as important as their relationships with the environment, expecially for a proper territorial management. This paper compares nitrogen, phosphorous and potassium contents in runoff of some forage crops of different intensity (pasture, lucerne, silage maize, Italian ryegrass/maize double cropping) in different ltalian environments (north-western plain of Piemonte, Apennines hills of Tuscany and Mediterranean plain of Sardegna) on different typology of soils. Runoff data have been collected for periods ranging between two and six year, from plots of different extension and slope (0,5% in the plains, 10% in Apennine hills). Nitrogen losses, for the small amount of runoff, have been qui te low from ilat fields, being always less than 15 kg ha -1 year-1. Losses from slope fields have been higher, with a maximum of 30 kg ha -1 year-1, due to very high level of runoff and erosion in a conspicuous episode. Phosphorous losses only in a few cases were higher than 5 kg ha -I year -I, while mostly they have b>!en less than 2 kg ha -1 year-1. In the Mediterranean plain such losses have been quite insignificant. Minimum potassium 10sses were recorded in the Mediterranean plain, while in north-western plain they reached about 10 kg-1 year-1. Maize was, on average, the crop with highest nutrient losses, while quality of the runoff water was more related to agricultural practices than to soil types

Genetic Ablation of the MET Oncogene Defines a Crucial Role of the HGF/MET Axis in Cell-Autonomous Functions Driving Tumor Dissemination

Cancer cell dissemination is sustained by cell-autonomous and non-cell-autonomous functions. To disentangle the role of HGF (Hepatocyte Growth Factor) and MET ligand/receptor axis in this complex process, we genetically knocked out the MET gene in cancer cells in which MET is not the oncogenic driver. In this way, we evaluated the contribution of the HGF/MET axis to cancer cell dissemination independently of its direct activities in cells of the tumor microenvironment. The lack of MET expression in MET−/− cells has been proved by molecular characterization. From a functional point of view, HGF stimulation of MET−/− cancer cells was ineffective in eliciting intracellular signaling and in sustaining biological functions predictive of malignancy in vitro (i.e., anchorage-independent growth, invasion, and survival in the absence of matrix adhesion). Cancer cell dissemination was assessed in vivo, evaluating: (i) the ability of MET−/− lung carcinoma cells to colonize the lungs following intravenous injection and (ii) the spontaneous dissemination to distant organs of MET−/− pancreatic carcinoma cells upon orthotopic injection. In both experimental models, MET ablation affects the time of onset, the number, and the size of metastatic lesions. These results define a crucial contribution of the HGF/MET axis to cell-autonomous functions driving the metastatic process

Data-Driven Energy Modeling of Machining Centers Through Automata Learning

The paper addresses the problem of estimating the energy consumed by production resources in manufacturing so that alternative process designs can be compared in terms of energy expenditure. In particular, the proposed methodology focuses on Computer Numerical Controlled (CNC) machining centers. Classical approaches to energy modeling require high expertise and large development effort since, for example, data acquisition is resource-specific and must be repeated frequently to avoid obsolescence. An automated and flexible data-driven methodology is designed in this work. A data-driven method is employed to learn a hybrid and stochastic model of a CNC machining center’s energetic behavior. The learned model is used to provide offline energy consumption estimates of simulated part-programs before the actual execution of the cutting. Numerical results show the performance of the proposed method on a set of case studies. The methodology is also applied to a real industrial application, including data collected during machine production. Note to Practitioners —This article provides a flexible and autonomous data-driven approach to building models representing the energetic behavior of production resources, particularly CNC machining centers. The learned models can predict machine energy consumption while executing complex part-programs. The algorithm uses data that are commonly acquired by contemporary machine monitoring systems and does not require ad-hoc experimental tests for training. Specifically, it requires the spindle rotary speed signal, part load/unload signal, and spindle (or machine) power signal during the learning phase, whilst the estimation phase uses only the load/unload and spindle speed simulated signals

SPY: A Magnet System for a High-pressure Gaseous TPC Neutrino Detector

We present a novel conceptual design for a magnet system that provides the magnetic field necessary for the analysis of tracks in a high-pressure gaseous argon TPC while simultaneously serving as a pressure vessel to contain the TPC gas volume. The magnet was developed within a Near Detector proposal for the Deep Underground Neutrino Experiment (DUNE). The high-pressure gaseous argon TPC is a component proposed to be one of the elements of an ensemble of near detectors that are needed for DUNEComment: 37 pages with 35 figure

Human Cutaneous Melanomas Lacking MITF and Melanocyte Differentiation Antigens Express a Functional Axl Receptor Kinase

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