1,356,856 research outputs found
Palazzo Celsi a Venezia
No full textIl volume ricostruisce le vicende della famiglia patrizia veneziana dei Celsi e del suo palazzo a Venezia presso l’Arsenale, edificio di cui non risultavano in precedenza che frammentarie notizie. Enrico Pietrogrande è autore di cinque dei sei capitoli complessivi, nei quali si occupa della storia della famiglia e della sua residenza, e descrive l’intervento di restauro che egli stesso ha progettato e diretto. Il sesto capitolo è di Emanuela Zucchetta, funzionario della Soprintendenza per i Beni Ambientali e Architettonici di Venezia, ed è dedicato alla ricca decorazione pittorica del palazzo.
Scrive nella presentazione il Soprintendente per i Beni Ambientali e Architettonici di Venezia Roberto Cecchi: “Ancora una volta il restauro è occasione di conoscenza. Il restauro di palazzo Celsi alla Celestia, di fronte all’Arsenale, di cui non si conosceva nemmeno il nome, ha innescato una fitta rete di ricerche, supportate da una ricca documentazione archivistica, di cui si dà puntualmente conto nel volume”
Search for neutral MSSM Higgs bosons with CMS
No full textResults on the search for neutral Higgs bosons, in the context of the Minimal Supersymmetric extension of the Standard Model (MSSM), are presented. Different decay channels and final states are considered, including the production of the bosons in association with additional b-quarks and their decay into tau, muon, and b-quark pairs. The exclusion limits are presented in the MSSM vs parameter space. The searches are performed on data samples collected with the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC) during the 2011 and 2012 data taking periods, in proton-proton collisions at the center-of-mass energy of 7 TeV and 8 TeV respectively
A horizontally scalable online processing system for trigger-less data acquisition
No full textThe vast majority of high energy physics experiments rely on data acquisition and hardware-based trigger systems performing a number of stringent selections before storing data for offline analysis. The online reconstruction and selection performed at the trigger level are bound to the synchronous nature of the data acquisition system, resulting in a trade-off between the amount of data collected and the complexity of the online reconstruction performed. Exotic physics processes, such as long-lived and slow-moving particles, are rarely targeted by online triggers as they require complex and nonstandard online reconstruction, usually incompatible with the time constraints of most data acquisition systems. The online trigger selection can thus impact as one of the main limiting factors to the experimental reach for exotic signatures. Alternative data acquisition solutions based on the continuous and asynchronous processing of the stream of data from the detectors are therefore foreseeable as a way to extend the experimental physics reach. Trigger-less data readout systems, paired with efficient streaming data processing solutions, can provide a viable alternative. In this document, an end-to-end implementation of a fully trigger-less data acquisition and online data processing system is discussed. An easily scalable and deployable implementation of such an architecture is proposed, based on open-source distributed computing frameworks capable of performing asynchronous online processing of streaming data. The proposed schema can be suitable for deployment as a fully integrated data acquisition system for small-scale experimental apparatus, or to complement the trigger-based data acquisition systems of larger experiments. A muon telescope setup consisting of a set of gaseous detectors is used as the experimental development testbed in this work, and a fully integrated online processing pipeline deployed on cloud computing resources is implemented and described
Testing the robustness of primary production models in shallow coastal areas: a case study
No full textIn this paper we investigate the robustness of a dynamic model, which describes the dynamic of the seagrass Zostera marina, with respect to the inter-annual variability of the two main forcing functions of primary production models in eutrophicated environments. The model was previously applied to simulate the seasonal evolution of this species in the Lagoon of Venice during a specific year and calibrated against time series of field data. In the this paper, we present and discuss the results which were obtained by forcing the model using time series of site-specific daily values concerning the solar radiation intensity and water temperature. The latter was estimated by means of a regression model, whose input variable was a site-specific time series of the air temperature. The regression model was calibrated using a year-long time series of hourly observations. The Z marina model was first partially recalibrated against the same data set that was used in the original paper. Subsequently, the model was forced using a 7-year-long time series of the driving functions, in order to check the reliability of its long-term predictions. Even though the calibration gave satisfactory results, the multi-annual trends of the output variables were found to be in contrast with the observed evolution of the seagrass biomasses. Since detailed information about the air temperature and solar radiation are often available, these findings suggest that the testing of the ecological consistency of the evolution of primary production models in the long term would provide additional confidence in their results, particularly in those cases in which the scarcity of field data does not allow one to perform a formal corroboration/validation of these models
Muon trigger with fast Neural Networks on FPGA, a demonstrator
No full textThe online reconstruction of muon tracks in High Energy Physics experiments is a highly demanding task, typically performed on reconfigurable digital circuits, such as FPGAs. Complex analytical algorithms are executed in a quasi-real-time environment to identify, select, and reconstruct local tracks in often noise-rich environments. A novel approach to the generation of local triggers based on a hybrid combination of Artificial Neural Networks and analytical methods is proposed, targeting the muon reconstruction for drift tube detectors. The proposed algorithm exploits Neural Networks to solve otherwise computationally expensive analytical tasks for the unique identification of coherent signals and the removal of geometrical ambiguities. The proposed approach is deployed on state-of-the-art FPGA and its performances are evaluated on simulation and on data collected from cosmic rays
Simultaneous transapical aortic and mitral valve‐in‐valve implantation for double prostheses dysfunction: Case report and technical insights
No full textTranscatheter "Valve-in-Valve" implantation (ViV) has shown promising results in high-risk patients suffering from structural valve deterioration (SVD) of a previously implanted heart valve bioprosthesis. We present a case of a 68-year-old woman with a history of three previous cardiac operations on the aortic and mitral valve. At the time of admission she was severely symptomatic due to a simultaneous SVD of a 23 mm aortic and of a 29 mm mitral St. Jude Biocor bioprosthesis. Because of the history of several cardiac operations and to her comorbidities, the patient was considered with an extremely high surgical risk profile and was therefore scheduled for double concomitant mitral and aortic ViV. Through a trans-apical approach, the patient underwent 23 and 29 mm Edwards Sapien XT implantation in the aortic and mitral bioprosthesis, respectively. The procedure was uneventful as well as the following hospital stay. At 6-months follow-up the patient is in NYHA class I. Echocardiography shows that the aortic bioprosthesis has no leak and the mean gradient is 20 mm Hg while the mitral valve has mild leak and maximum and mean gradients are 21 and 10 mm Hg, respectively. The three main technical aspects that should be carefully considered in double concomitant ViV are: sequence of valve deployment (whether to implant the mitral or the aortic valve first), choice of access and valve sizing. In conclusion, double simultaneous trans-apical mitral and aortic ViV is technically feasible. © 2014 Wiley Periodicals, Inc. © 2014 Wiley Periodicals, Inc
Simultaneous transapical aortic and mitral valve-in-valve implantation for double prostheses dysfunction: Case report and technical insights.
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Predicting the response of fish and invertebrate assemblages to seagrass transplantations: assessment of the progress of habitat restorationin the Venice lagoon.
No full textOne of the major challenges to ensure effective restoration of estuarine habitats is to establish success criteria, allowingto determine whether the goalsof restoration are met. In the northern basin of Venice lagoon (northern Adriatic Sea, Italy), the LIFE project “SeResto” started in 2014 aiming at restoring seagrass meadows by means of small-scale manual transplantation of sods and rhizomes. The interventions are expected to increase the cover of Zostera marina and Z. noltei in the area, and to subsequently restore the typical features of faunal assemblages associated with seagrass meadows. The aim of this work is to propose a method to identify reference conditions and assess the progress of nekton (fish, decapods and cephalopods) assemblages at seagrass restoration sites.Nekton sampling took place from 2014 to 2017 during spring at eight transplantation sites. In spring 2016, five natural seagrass sites in the same area were additionally sampled, and physico-chemical water parameters and habitat structure (seagrass floristic composition, percent cover, canopy height, shoot density, leaf area index and epiphytal load) were also recorded. A multivariate approach based on GLMswas adopted, in order to disentangle the relative effect of water quality and seagrass habitat structure on nekton assemblages of natural habitats.Models were then employed to predict species composition of nekton fauna at each transplantation site under target abiotic and habitat conditions, allowing to identify the reference assemblages to evaluate the progress of fauna towards restoration goals. The analysis highlighted that desired restoration outcomes, i.e. presence of Z. marina and greater seagrass cover are positively linked to presence and density of some pipefishes (Syngnathidae), large gobies (Gobiidae) and some shrimps (Palaemonidae and Hippolytidae) in the nekton assemblage. Sites exhibiting better recovery of habitat structure also supported nekton assemblages more similar to reference conditions. However, none of the sites showed clear trajectories of progress, suggesting that more than three years are needed for nekton fauna to successfully colonise restored seagrass meadows in coastal lagoons
Uncertainty in developing fish based multi-metric indices
No full textThe process of development of a multi-metric index (MMI) implies a series of decisions to complete the procedure and obtain the formulation of an indicator. We performed an uncertainty and sensitivity analysis to explore the effects of alternative decisions in this process, using the case of fish fauna-based assessment of the ecological status in transitional waters and the Venice lagoon as an example. We formulated the alternative strategies in MMI implementation as levels of three factors affecting this procedure: 1) metrics pre-selection; 2) metrics numerical pre-treatment; 3) and metrics combination rules. The outcome of the uncertainty analysis highlighted that all the decisions impacted the process, potentially leading to indicators with different characteristics, confirming that the process of developing MMIs – even following an empirical data-driven approach – is not a completely objective procedure. However, not all the choices have the same weight in influencing the final index, nor do they affect the same characteristics of the index. The initial choice of candidate metrics influences the number of metrics included in the final index, the correlation of the MMI with anthropogenic pressures and the ecological status classification (i.e. the output of the index itself). However, the most influential decision is the one related to the criterion adopted to select the metrics (i.e. to reduce the number of metrics from the original candidate set) included in the final index. This choice is the one that most likely affects the structure of the index and the ecological status classification, even if the family of indices developed in this work exhibited a certain level of robustness regarding this characteristic
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