135,859 research outputs found
Angeli Nicolas' DMA Oboe Recital 1
No full textOboe Concerto in D minor, Alessandro Marcello
Capriccio for Oboe and Piano, Op. 80, Amilcare Ponchielli
Variations on a Theme by Glinka, Nikolai Rimsky-Korsakov
Oboe Concerto in C major, Hob. VIIg:C1, Joseph HaydnRelated dissertation for this degree -- Exploring the Transformation of the English Horn: Its Origin, Design, Development, and its Continued Relevance: https://hdl.handle.net/2346/102353
Related performance for this degree -- Angeli Nicolas' DMA Oboe Recital 2: https://hdl.handle.net/2346/103888
Related performance for this degree -- Angeli Nicolas' DMA Oboe Recital 3: https://hdl.handle.net/2346/103889
Related performance for this degree -- Angeli Nicolas' DMA Oboe Recital 4: https://hdl.handle.net/2346/103890Recital recordings are archival copies for educational purposes only. Members of the TTU community may request to listen/view them for educational purposes via the PDF link to the left
Urinary Nucleic Acid in Tumor: Bioinformatics Approaches
No full textApplication of next generation sequencing techniques in the field of liquid biopsy, in particular urine, requires specific bioinformatics methods in order to deal with its peculiarity. Many aspects of cancer can be explored starting from nucleic acids, especially from cell-free DNA and circulating tumor DNA in order to characterize cancer. It is possible to detect small mutations, as single nucleotide variants, small insertions and deletions, copy-number alterations, and epigenetic profiles. Due to the low fraction of circulating tumor DNA over the whole cell-free DNA, some methods have been exploited. One of them is the application of unique barcodes to each DNA fragment in order to lower the limit of detection of cancer-related variants. Some bioinformatics workflows and tools are the same of a classic analysis of tumor tissue, but there are some steps in which specific algorithms have to be introduced
Towards a new Liquid Argon Imaging Chamber for the MODULAr project
No full textThe MODULAr project foresees the exploitation of a new liquid Argon imaging de- tector, of at least 20 kt fiducial mass, to be operated in a shallow depth location under the Gran Sasso Mountain. It will be devoted to study neutrino oscillations with an optimized off-axis CNGS neutrino beam. Cosmic neutrinos as well as proton decay will also be addressed. The MODULAr detector will vastly inherit from the technology developed for ICARUS-T600. However, such an increase in the volume over the current ICARUS-T600 needs to be carefully considered. It is con- cluded that a single, huge volume is an inoperable and uneconomical solution for many reasons. A very large mass is best realized with a modular set of many identical, independent units, each of about 5 kt, “cloning” the basic technology of the ICARUS-T600. Several of such modular units will be assembled to reach at least 20 kt as initial sensitive volume. The increase of the active volume of about one order of magnitude with respect to the ICARUS-T600 detector requires some specific R&D activity, which will be implemented in a ∼ 360 ton prototype unit (SLICE) of reduced length
A cost-effective cloud computing framework for accelerating multimedia communication simulations
No full textMultimedia communication research and development often requires computationally intensive simulations in order to develop and investigate the performance of new optimization algorithms. Depending on the simulations, they may require even a few days to test an adequate set of conditions due to the complexity of the algorithms. The traditional approach to speed up this type of relatively small simulations, which require several develop-simulate-reconfigure cycles, is indeed to run them in parallel on a few computers and leaving them idle when developing the technique for the next simulation cycle. This work proposes a new cost-effective framework based on cloud computing for accelerating the development process, in which resources are obtained on demand and paid only for their actual usage. Issues are addressed both analytically and practically running actual test cases, i.e., simulations of video communications on a packet lossy network, using a commercial cloud computing service. A software framework has also been developed to simplify the management of the virtual machines in the cloud. Results show that it is economically convenient to use the considered cloud computing service, especially in terms of reduced development time and costs, with respect to a solution using dedicated computers, when the development time is longer than one hour. If more development time is needed between simulations, the economic advantage progressively reduces as the computational complexity of the simulation increases
Consensus-based algorithm for distributed estimation of the maximum of a field
No full textThis paper deals with the problem of distributed estimation of the maximum of a continuous scalar field by combining exhaustive ergodic search with multi-agent consensus protocols. In this original set-up, the presence of unilateral interactions and exogenous signals is considered, the latter representing the measures sampled by the agents and an algorithm is devised to estimate the maximum of the field over the domain spanned by the agents. Necessary and sufficient conditions are given to guarantee convergence to the maximum field value. Illustrative examples are presented to show the effectiveness of the proposed framework and conditions
Direct numerical simulation of turbulent forced and mixed convection of LBE in a bundle of heated rods with P/D=1.4
No full textIn this work, reference data obtained by means of Direct Numerical Simulations of fully-developed flow and heat transfer around a vertical rod bundle are presented. Finite-Volume computations are performed by an original discretization technique based on the representation of arbitrarily-shaped cylindrical boundaries on a non-uniform Cartesian grid. A periodic domain consisting of four subchannels of a triangular lattice of rods with a pitch-to-diameter ratio P/D=1.4 is considered as the reference geometry. A Prandtl number Pr = 0.031 is chosen to represent Liquid Lead-Bismuth Eutectic (LBE) as the working fluid. A single friction Reynolds number value is simulated, namely Reτ=550. Both forced and mixed convection regimes are investigated, buoyancy effects being introduced by imposing a Rayleigh number Ra = 5×105, corresponding to a Richardson number Ri = 0.22. Instantaneous snapshots and relevant statistics of the velocity and thermal fields are reported and discussed for the considered cases, focusing on the effect of aiding buoyancy on turbulent flow and heat transfer. Integral results are also compared against available literature data
Pulse pressure affects the relationship between flow-mediated dilatation and cardiovascular risk
No full textEndothelial dysfunction is recognized as a pivotal factor in the development of atherosclerosis [1]. Dilatation of the brachial artery in response to an increase in flow (flow-mediated dilatation, FMD) during post-ischemic reactive hyperemia currently represents the most suitable approach for non-invasive assessment of endothelial functionFil: Cardona, Andrea. Universita Di Perugia; ItaliaFil: Ambrosio, Giuseppe. Universita Di Perugia; ItaliaFil: Mengoni, Anna. Universita Di Perugia; ItaliaFil: D´antonio, Antonella. Universita Di Perugia; ItaliaFil: Bentivoglio, Maurizio. Universita Di Perugia; ItaliaFil: Milei, Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Cardiológicas (i); ArgentinaFil: Angeli, Fabio. Universita Di Perugia; Itali
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Book Review: Improving Computer Science Education by D. M. Kadijevich, C. Angeli, and C. Schulte.
No full textBook Review of "Improving Computer Science Education" written by D. M. Kadijevich, C. Angeli, and C. Schulte
Consensus for nonlinear monotone networks with unilateral interactions
No full textThis paper deals with an extended framework of the distributed asymptotic agreement problem by allowing the presence of unilateral interactions (optimistic or pessimistic) in place of bilateral ones, for a large class of nonlinear monotone time-varying networks. In this original setup we firstly introduce notions of unilateral optimistic and/or pessimistic interaction, of associated bicolored edge in the interaction graph and a suitable graph-theoretical connectedness property. Secondly, we formulate a new assumption of integral connectivity and show that it is sufficient to guarantee exponential convergence towards the agreement subspace. Finally, we remark that the proposed conditions are also necessary for consensuability. Theoretical advances are emphasized through illustrative examples given both to support the discussion and to highlight how the proposed framework extends all existing conditions for consensus of monotone networks
On exponential consensus for time-varying non-cooperative nonlinear networks
No full textIn this paper we present new results on asymptotic consensus for continuous-time nonlinear time varying networks. A key feature in the following is that the monotonicity property (i.e. cooperativity) is not required, unlike most of existing literature on the subject. Additionally, we extend the use of a “State Frozen” concept [16] and integral connectivity to this non-trivial scenario, and give condition for consensus with the additional merit to be frozen in state variables and therefore of simpler verification. Finally, we give an estimate of the exponential rate of convergence towards the agreement manifold
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