2,159 research outputs found
Carlo Francesco Cesarini: Due cantate con strumenti
No full textCarlo Francesco Cesarini (S. Martino al Cimino, 1665 circa – dopo il 2.9.1741), fu uno tra i più importanti compositori attivi a Roma tra Sei e Settecento. Responsabile delle accademie musicali del cardinale Benedetto Pamphilj dal 1690 al 1730, fu maestro di cappella della Chiesa di S. Antonio dei Portoghesi dal 1715 al 1721 e della Chiesa del Gesù dal 1704 al 1741. Della sua produzione musicale sono pervenuti il pasticcio Giunio Bruto overo la Caduta dei Tarquini (composto con Antonio Caldara e Alessandro Scarlatti nel 1711) e una vasta quantità di musica sacra e di cantate da camera.
La presente edizione critica è dedicata a due cantate di Cesarini con strumenti obbligati: Farfalletta or fuggi or riedi, per soprano, violoncello e basso continuo, il cui testo poetico è incentrato su una farfalla che con audacia si avvicina al fuoco, tipica immagine allegorica della lirica amorosa barocca; e Sovra il margo d’un fonte, per soprano, violini e basso continuo, il cui protagonista è il cacciatore Narciso che lamenta, nel rispetto della tradizione mitologica, l’amore verso se stesso.Carlo Francesco Cesarini (San Martino al Cimino, c.1665 – after 02.09.1741) was one of the most eminent composers in Rome around 1700. He was in charge of music academies for Cardinal Benedetto Pamphili (1690-1730) and also choirmaster at St. Anthony of the Portuguese’s (1715-1721) and at the Church of Jesus (1704-1741). What survives of his works includes an opera, Giunio Bruto overo la Caduta dei Tarquini (a pasticcio from Antonio Caldara and Alessandro Scarlatti, 1711) and a huge amount of sacred music and chamber cantatas.
This edition is devoted to a couple of cantatas with obbligato instruments. Farfalletta or fuggi or riedi, for soprano, cello, and continuo, has lyrics on a butterfly boldly and recklessly approaching fire—a typical Baroque allegory of love; Sovra il margo d’un fonte, for soprano, violins, and continuo, is about the hunter Narcissus crying out of love of himself, as per the ancient myth
Multi-class machine learning detection of Edema, Vocal Paralysis and Vocal Nodules through voice
No full textThis paper aims to differentiate causes of dysphonia, namely Reinke's Edema, Vocal Cord Paralysis, and Vocal Nodules, also including healthy subjects. A proprietary dataset of 245 subjects underwent acoustic feature extraction and selection, and four classifiers were trained for multi-class classification. Loudness/Energy-related features were among the most effective, which is in line with the fact that the three diseases all cause different impairments in terms of voice volume. Cepstrum is also confirmed as an effective domain. The four classifiers obtained comparable performances, with Random Forest having the highest accuracy at 78.4% and Naïve Bayes offering the best compromise in terms of recall. Healthy subjects always lead to a higher recall, which is in line with the fact that identifying dysphonia is an easier task than differentiating among its causes
Transfer to cyclophosphamide-treated mice of natural killer (NK) cells and in vivo natural reactivity against tumors.
No full textEvaluating the Advantage of Reactive MPI-aware Power Control Policies
No full textPower consumption is an essential factor that worsens the performance and costs of today and future supercomputer installations. In state-of-the-art works, some approaches have been proposed to reduce the energy consumption of scientific applications by reducing the operating frequency of the computational elements during MPI communication regions. State-of-the-art algorithms rely on the capability of predicting at execution time the duration of these communication regions before their execution. The COUNTDOWN approach tries to do the same by mean of a purely reactive timer based policy. In this paper, we compare the COUNTDOWN algorithm with state-of-the-art predictive-based algorithm, showing that timer based policies are more effective in extract power saving opportunities and reducing energy waste with a lower overhead. When running in a Tier1 system, COUNTDOWN achieves 5% more energy saving with lower overhead than state-of-the-art proactive policy. This suggests that reactive policies are more suited then proactive approaches for communication-aware power management algorithms
Strategie di azione per la rigenerazione del waterfront balneare. Un caso studio a Riccione
No full textAffected by the increasing violence of the climate change effects and the neglected awareness of an unavoidable sustainable planning, the border areas between sea and land face recurring emergencies and worsening natural risks. That special environment along the coastline, sometimes still enveloped by wilderness, sometimes strongly marked by urbanisation, is threatened by the sea level increasing and the progressive coastal erosion with irreversible injuries. Consequently, a number of different and innovative strategies must be arranged to make up for the effects of change and ensure a future for these territories.
The case study concerns Riccione, an Adriatic city and a seaside resort, which presents an easily recognizable and remarkable typological model, for urban structure, consolidated economic organisation, social relationships, an appreciable balance between people needs and the natural resources
Transfer to cyclophosphamide-treated mice of natural killer (NK) cells and in vivo natural reactivity against tumors
No full textBridging the gap between Monte Carlo simulations and measurements of the LISA Pathfinder test-mass charging for LISA
No full textContext. Cubic gold-platinum free-falling test masses (TMs) constitute the mirrors of future LISA and LISA-like interferometers for low-frequency gravitational wave detection in space. High-energy particles of Galactic and solar origin charge the TMs and thus induce spurious electrostatic and magnetic forces that limit the sensitivity of these interferometers. Prelaunch Monte Carlo simulations of the TM charging were carried out for the LISA Pathfinder (LPF) mission, that was planned to test the LISA instrumentation. Measurements and simulations were compared during the mission operations. The measured net TM charging agreed with simulation estimates, while the charging noise was three to four times higher.
Aims. We aim to bridge the gap between LPF TM charging noise simulations and observations.
Methods. New Monte Carlo simulations of the LPF TM charging due to both Galactic and solar particles were carried out with the FLUKA/LEI toolkit. This allowed propagating low-energy electrons down to a few electronvolt.
Results. These improved FLUKA/LEI simulations agree with observations gathered during the mission operations within statistical and Monte Carlo errors. The charging noise induced by Galactic cosmic rays is about one thousand charges per second. This value increases to tens of thousands charges per second during solar energetic particle events. Similar results are expected for the LISA TM charging
COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications
No full textPower and energy consumption are becoming key challenges for the supercomputers' exascale race. HPC systems' processors waist active power during communication and synchronization among the MPI processes in large-scale HPC applications. However, due to the time scale at which communication happens, transitioning into low-power states while waiting for the completion of each communication may introduce unacceptable overhead. In this article, we present COUNTDOWN, a run-time library for identifying and automatically reducing the power consumption of the CPUs during communication and synchronization. COUNTDOWN saves energy without penalizing the time-to-completion by lowering CPUs power consumption only during idle times for which power state transition overhead is negligible. This is done transparently to the user, without requiring labor-intensive and error-prone application code modifications, nor requiring recompilation of the application. We test our methodology on a production Tier-1 system. For the NAS benchmarks, COUNTDOWN saves between 6 and 50 percent energy, with a time-to-solution penalty lower than 5 percent. In a complete production - Quantum ESPRESSO - for a 3.5K cores run, COUNTDOWN saves 22.36 percent energy, with a performance penalty below 3 percent. Energy saving increases to 37 percent with a performance penalty of 6.38 percent, if the application is executed without communication tuning
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