Search results for "Networks"
showing 10 items of 3260 documents
Neuroimaging and electrophysiology meet invasive neurostimulation for causal interrogations and modulations of brain states.
2020
Deep brain stimulation (DBS) has developed over the last twenty years into a highly effective evidenced-based treatment option for neuropsychiatric disorders. Moreover, it has become a fascinating tool to provide illustrative insights into the functioning of brain networks. New anatomical and pathophysiological models of DBS action have accelerated our understanding of neurological and psychiatric disorders and brain functioning. The description of the brain networks arose through the unique ability to illustrate long-range interactions between interconnected brain regions as derived from state-of-the-art neuroimaging (structural, diffusion, and functional MRI) and the opportunity to record…
Composite Scaffolds with a Hydrohyapatite Spatial Gradient for Osteochondral Defect Repair
2018
Osteochondral defects derived by traumatic injury or aging related disease are often associated with severe joint pain and progressive loss of joint functions for millions of people worldwide and represent a major challenge for the orthopedic community. Tissue engineering offers new therapeutic approach to repair the osteochondral defects, through the production of scaffolds manufactured to mimic their complex architecture, which consists of cartilage and bone layers. Composite scaffolds based on a PLLA polymeric matrix containing hydroxyapatite (HA) as a filler were prepared through a modified thermally induced phase separation (TIPS) protocol. A suspension was prepared by adding sieved HA…
dSDiVN: A Distributed Software-Defined Networking Architecture for Infrastructure-Less Vehicular Networks
2017
In the last few years, the emerging network architecture paradigm of Software-Defined Networking (SDN), has become one of the most important technology to manage large scale networks such as Vehicular Ad-hoc Networks (VANETs). Recently, several works have shown interest in the use of SDN paradigm in VANETs. SDN brings flexibility, scalability and management facility to current VANETs. However, almost all of proposed Software-Defined VANET (SDVN) architectures are infrastructure-based. This paper will focus on how to enable SDN in infrastructure-less vehicular environments. For this aim, we propose a novel distributed SDN-based architecture for uncovered infrastructure-less vehicular scenari…
Mobile Encounter Network - the missing data link
2008
In this paper, we discuss about the applicability of a short-range wireless communication scheme called Mobile Encounter Network (MEN). Encounters between devices communicating while moving allows ad-hoc -type data transfer to be performed. A background for the emerging of such networks is given. The essential properties of the MEN data transfer are specified. Based on this, the role of MEN as a data transfer medium is discussed. The conclusion is that such networking technique may provide additional value compared to the traditional wireless communication.
Educación para la ciudadanía democrática en la cultura digital
2011
Asumiendo la importancia de las nuevas tecnologías en las aulas, especialmente en las actuales sociedades de la información y la comunicación, y siguiendo las recomendaciones de la Unión Europea a favor de la alfabetización mediática, el presente trabajo reflexiona acerca de la necesidad de educar no solo en los usos técnicos y eficientes de las tecnologías comunicativas, sino también en el uso responsable y cívico de las mismas, favoreciendo así los procesos participativos y deliberativos que son el sustento de una democracia viva. El sueño griego de la «isegoría», del igual derecho de todos al uso de la palabra, puede hacerse realidad en la cultura digital, si bien es cierto que un uso hi…
Characterization of denitrification gene clusters of soil bacteria via a metagenomic approach
2009
International audience; Denitrification is a microbial respiratory process contributing to the emission of greenhouse gas. The study of denitrifying bacteria, like that of others, is hindered by characteristics that can prevent up to 99% of soil bacteria from being cultivated in vitro. New approaches based on the direct extraction of DNA from the natural environment and PCR amplifications can overcome limitations due to bacterial unculturability, but until now their application to denitrification genes has led only to the recovery of partial sequences for some of these genes.Our goals in this study were to apply a metagenomic approach characterized by cloning of DNA extracted from soil and …
Camorra e mafie di mezzo in alcuni recenti contributi delle scienze sociali
2018
Interacting with the lively debate on petitions and the various forms of appeal to the authorities written in different spatial and temporal contexts, the article deals with the analysis of a group of “discrimination” requests addressed to the General Directorate for Demography and Race by a sample of female Italian citizens qualified as belonging to the “Jewish race” in Autumn 1938. Women’s petitions represented a minority within the broader corpus of requests for derogation from the Anti-Semitic Fascist legislation. They are nonetheless a source of great importance, both to illuminate the relevance of the “discrimination” procedures from the persecuted point of view, and to shed fresh lig…
Mapping and holistic design of natural hydraulic lime mortars
2020
Supplementary data to this article can be found online at https://doi.org/10.1016/j.cemconres.2020.106167.
Modeling and Simulation of Network-on-Chip Systems with DEVS and DEUS
2013
Networks on-chip (NoCs) provide enhanced performance, scalability, modularity, and design productivity as compared with previous communication architectures for VLSI systems on-chip (SoCs), such as buses and dedicated signal wires. Since the NoC design space is very large and high dimensional, evaluation methodologies rely heavily on analytical modeling and simulation. Unfortunately, there is no standard modeling framework. In this paper we illustrate how to design and evaluate NoCs by integrating the Discrete Event System Specification (DEVS) modeling framework and the simulation environment called DEUS. The advantage of such an approach is that both DEVS and DEUS support modularity—the fo…
Generative Adversarial Networks in Cardiology
2021
A B S T R A C T Generative Adversarial Networks (GANs) are state-of-the-art neural network models used to synthesize images and other data. GANs brought a considerable improvement to the quality of synthetic data, quickly becoming the standard for data generation tasks. In this work, we summarize the applications of GANs in the field of cardiology, including generation of realistic cardiac images, electrocardiography signals, and synthetic electronic health records. The utility of GAN-generated data is discussed with respect to research, clinical care, and academia. Moreover, we present illustrative examples of our GAN-generated cardiac magnetic resonance and echocardiography images, showin…