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Your search keyword '"D'Agostino, D"' showing total 38 results
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38 results on '"D'Agostino, D"'

3. Nd2-XCeXCuO4±δNd2CuO4Ultra-Thin Films Grown by DC Sputtering Technique

Author

Guarino, A., Martucciello, N., Ubaldini, A., Grimaldi, G., Vecchione, A., Nigro, A., Avitabile, Francesco, D'Agostino, D., Caputo, M., Leo, A., Bobba, F., Attanasio, C., and Romano, P.

Subjects
thin films, electron-doped compounds, superconductivity, Atomic and Molecular Physics, Electronic, surface morphology, Optical and Magnetic Materials, sputtering, X-ray diffraction, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, and Optics
Published
2018

6. Analytical-Based High-Level Simulation of the Microthreaded Many-Core Architectures

Author

Uddin, I., Poss, R., Jesshope, C., Aldinucci, M., D'Agostino, D., Kilpatrick, P., and System and Network Engineering (IVI, FNWI)

Subjects
Many core, Computer science, Design space exploration, Logic simulation, High level simulation, Parallel computing, Orders of magnitude (voltage), Simulation, Abstraction (linguistics)
Abstract

High-level simulation is becoming commonly used for design space exploration of many-core systems. We have been working on high-level simulation techniques for the microthreaded many-core architecture at the University of Amsterdam. In previous work different levels of high-level simulation for instruction execution have been proposed, where the objective of every level is to keep the highest possible abstraction in order to achieve the least complexity and highest simulation speed with a compromise on the amount of accuracy. In this article we propose a new breakthrough in abstraction by simulating entire components in applications using analytical models. This simulation technique greatly reduces the complexity of the simulator and increases the simulation speed by orders of magnitude compared to the other levels of the high-level simulator, without affecting the simulation accuracy.

Published
2014
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8. Voltage-Driven Near Field Beam Shifting in an InP Photonic Integrated Circuit.

Author

Cardarelli, S., Calabretta, N., D'Agostino, D., Stabile, R., and Williams, K. A.

Subjects
GALVANIC isolation, NEAR-fields, INTEGRATING circuits, INTEGRATED circuits, REFRACTIVE index, ELECTRON field emission
Abstract

A voltage-driven, continuously-tuned beam shifting device is proposed, simulated, and demonstrated in an InP photonic integrated circuit. Electrodes are applied on the left and right side of a mode-expanded waveguide to electronically control the refractive index profile and shift the optical beam by means of reverse bias voltage. The feasibility of a beam shifting of $4.9~\mu \text{m}$ with a power consumption of the order of 4.5 pW and voltage of 10 V is numerically predicted for a beam shifting element with ideal electrical isolation and fundamental input mode excitation. The reduction in beam-shifting efficiency is subsequently quantified for imperfect electrical isolation and in the presence of higher order mode excitation at the input to the beam shifting element. An experimental proof of concept is implemented by realizing the device on a generic photonic integration platform and co-integrating an on-chip tunable laser. High-resolution near-field measurements show near-field beam shifting of $1~\mu \text{m}$ with an applied voltage range from −4 to 0 V. [ABSTRACT FROM AUTHOR]

Published
2019
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15. Integrated Laser With Optical Feedback Shows Suppressed Relaxation-Oscillation Dynamics.

Author

D'Agostino, D., Ambrosius, H. P. M. M., Smit, M. K., and Lenstra, D.

Abstract

We experimentally demonstrate a monolithically integrated laser with built-in weak optical feedback, which shows broad regions of operation without relaxation-oscillation-induced instabilities. The side mode suppression is >40 dB for all values of the feedback phase. The measured linewidth varied from 740 KHz to 14 MHz, depending on the feedback phase value. [ABSTRACT FROM PUBLISHER]

Published
2015
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31. Fabrication of Etched Facets and Vertical Couplers in InP for Packaging and On-Wafer Test.

Author

Santos, R., D'Agostino, D., Soares, F. M., Haghighi, H. Rabbani, Williams, K. A., and Leijtens, X. J. M.

Abstract

In this letter, the fabrication and the characterization of angled and straight etched facets in InP-based technology are reported. In addition, we report on etched facets combined with coupler mirrors for vertical outcoupling, realized with a wet-etching process. [ABSTRACT FROM PUBLISHER]

Published
2016
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37. Computing Empirical P-Values for Estimating Gene-Gene Interactions in Genome-Wide Association Studies: A Parallel Computing Approach

Author

Daniele D'Agostino, Valentina Giansant, Stefano Beretta, Carlo Maj, Ivan Merelli, Giansant, V, D'Agostino, D, Maj, C, Beretta, S, and Merelli, I

Subjects
epistasis, 0301 basic medicine, parallel computing, Computer science, 0206 medical engineering, Parallel Implementation, Epistasis and functional genomics, Genomics, Genome-wide association study, 02 engineering and technology, Computational biology, Phenotype, 03 medical and health sciences, 030104 developmental biology, empirical p-value, Genome-Wide Association Studie, Genotype, Epistasis, Gene, 020602 bioinformatics, Genetic association
Abstract

In complex phenotypes (e.g., psychiatric diseases) single locus tests, commonly performed with genome-wide association studies, have proven to be limited in discovering strong gene associations. A growing body of evidence suggests that epistatic non-linear effects may be responsible for complex phenotypes arising from the interaction of different biological factors. A major issue in epistasis analysis is the computational burden due to the huge number of statistical tests to be performed when considering all the potential genotype combinations. In this work, we developed a computational efficient approach to compute empirical p-values concerning the presence of epistasis at a genome-wide scale in bipolar disorder, which is a typical example of complex phenotype with a relevant but unexplained genetic background. By running our approach we were able to identify 13 epistasis interactions between variants located in genes potentially involved in biological processes associated with the analyzed phenotype.

Published
2018
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38. Low-Power Architectures for miRNA-Target Genome Wide Analysis

Author

Stefano Beretta, Elena Corni, Luciano Milanesi, Lucia Morganti, Ivan Merelli, Daniele D'Agostino, Daniele Cesini, Andrea Ferraro, Beretta, S, Morganti, L, Corni, E, Ferraro, A, Cesini, D, D'Agostino, D, Milanesi, L, and Merelli, I

Subjects
0301 basic medicine, Information Systems and Management, Theoretical computer science, Exploit, Computer science, 0206 medical engineering, Genome wide analysis, Energetic cost, MiRNA binding, 02 engineering and technology, Computational biology, Mirna target, 03 medical and health sciences, Prediction methods, microRNA, miRNA, secondary structure, genome wide, Computer Networks and Communication, 030104 developmental biology, Hardware and Architecture, Power consumption, low-power architecture, 020602 bioinformatics
Abstract

In molecular biology, the interaction mechanisms between microRNAs (miRNAs) with their messenger RNA targets are poorly understood. This is the reason why many miRNA-Target prediction methods are available, but their results are often inconsistent. A lot of efforts focus on the quality of the sequence match between miRNA and target rather than on the role of the mRNA secondary structure in which the target is embedded. Nonetheless, it is known that the miRNA secondary structures contribute to target recognition, because there is an energetic cost to freeing base-pairing interactions within mRNA to make the target accessible for miRNA binding. This approach is implemented by PITA (Probability of Interaction by Target Accessibility), a very computational-intensive tool that is able to provide accurate results even when little is know about the conservation of the miRNA. In this paper we propose a new implementation of PITA, called lPITA, able to exploit a coarse-grained parallelism over low power architectures to reduce both execution times and the power consumption.

Published
2017
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