Search results for "Node"

showing 10 items of 1701 documents

Acceptability of dual HIV/syphilis rapid test in community- and home-based testing strategy among transgender women in Buenos Aires, Argentina.

2021

Background: Little is known of acceptability and feasibility of dual HIV and syphilis rapid tests in community- and home-based provider-initiated strategies among transgender women (TGW), in Latin America. Objectives were (1) to assess the acceptability of this strategy and, (2) to determine the percentage of positive results of HIV and syphilis, analyze the correlates of HIV or syphilis positive results, and measure the rates of effective referral and treatment completion among TGW. Methods: A multidisciplinary team tested 89 TGW in Buenos Aires. An acceptability survey was administered after the HIV/syphilis Duo test was used. All confirmed cases were referred for treatment initiation. R…

Test strategymedicine.medical_specialtyHuman immunodeficiency virus (HIV)ArgentinaHIV InfectionsDermatologymedicine.disease_causeTransgender PersonsTransgender womenMedicineHumansPharmacology (medical)Syphilisbusiness.industryPublic Health Environmental and Occupational HealthDUAL (cognitive architecture)medicine.diseaseHome basedTest (assessment)Syphilis SerodiagnosisInfectious DiseasesFamily medicineSyphilisFemaleTransgender PersonbusinessInternational journal of STDAIDS
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Rapid and eco-friendly synthesis of graphene oxide-silica nanohybrids

2014

The increasing interest in Graphene oxide (GO) is due to many issues: the presence of both sp2-conjugated atoms and oxygen-containing functional groups provides a strong hydrophilicity and the possibility to further functionalize it with other molecules (i.e. π-π interactions covalent attachment etc.) [1]. Furthermore since the GO is biocompatible and noncytotoxic many studies have been recently focused on the development of GO-based nanodevices for bioimaging DNA detection drug delivery. Due to their low cytotoxicity and large internal surface area silica nanoparticles have been taken into account as promising material for biolabeling and drug loading/delivery. Particular consideration has recently been demonstrated for GO-silica composites because of the potentialities for electrical applications their chemical inertia and stability toward ions exposure. The possibility to combine the extraordinary properties of GO and silica offers several advantages for the realization of nanoprobes for biological applications and of biosensor [12]. The strategy for the fabrication of GO-nanosilica nanohybrids can be schematized as follows: (i) synthesis of GO by oxidizing graphite powder with the method described by Marcano et al. [3] (ii) Preparation of oxygen-loaded silica nanoparticles by thermal treatments in controlled atmosphere in order to induce high NIR emission at 1272 nm from high purity silica nanoparticles. (iii) preparation of GrO-silica nanohybrid films via rapid solvent casting in water. The nanohybrids were tested by XPS FTIR Raman analysis UV photoluminescence analysis TGA Zeta potential measurements electrical tests AFM and SEM. Several nanohybrids were prepared by combining two different typologies of GO and two different samples of silica.
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Network Centralities and Node Ranking

2017

An important problem in network analysis is understanding how much nodes are important in order to “propagate” the information across the input network. To this aim, many centrality measures have been proposed in the literature and our main goal here is that of providing an overview of the most important of them. In particular, we distinguish centrality measures based on walks computation from those based on shortest-paths computation. We also provide some examples in order to clarify how these measures can be calculated, with special attention to Degree Centrality, Closeness Centrality and Betweennes Centrality.

Theoretical computer scienceCentrality measureNetwork topologyShortest pathSettore INF/01 - InformaticaComputer scienceBiological networkComputationNode (networking)Network topologySubgraph extractionNode centralityRankingShortest path problemCentralityBiological networkNetwork analysisNode neighborhoodNode ranking
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k-Truss Decomposition for Modular Centrality

2018

There is currently much interest in identifying influential spreaders in complex networks due to many applications concerned, such as controlling the outbreak of epidemics and conducting advertisements for commercial products, and so on. A plethora of centrality measures have been proposed over the years based on the topological properties of networks. However, most of these classical centrality measures fail to select the most influential nodes in networks with a modular structure despite that it is an omnipresent property in real-world networks. Few authors have introduced centrality measures tailored to networks with community structure. In a recent work, we have shown that, in this case…

Theoretical computer scienceComputer scienceProperty (programming)business.industryNode (networking)Community structureComplex networkModular design[INFO] Computer Science [cs]01 natural sciences010305 fluids & plasmasRankingComponent (UML)0103 physical sciences[INFO]Computer Science [cs]010306 general physicsbusinessCentralityComputingMilieux_MISCELLANEOUS
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2020

While most of opinion formation models consider static networks, a dynamic opinion formation model is proposed in this work. The so-called Temporal Threshold Page Rank Opinion Formation model (TTPROF) integrates temporal evolution in two ways. First, the opinion of the agents evolve with time. Second, the network structure is also time varying. More precisely, the relations between agents evolve with time. In the TTPROF model, a node is affected by part of its neighbor's opinions weighted by their Page Rank values. A threshold is introduced in order to limit the neighbors that can share their opinion. In other words, a neighbor influences a node if the difference between their opinions is b…

Theoretical computer scienceGeneral Computer ScienceComputer scienceNode (networking)Work (physics)General Engineering01 natural sciences010305 fluids & plasmasWeightingOrder (exchange)0103 physical sciencesConvergence (routing)General Materials ScienceFraction (mathematics)Limit (mathematics)010306 general physicsCentralityIEEE Access
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Correlation Analysis of Node and Edge Centrality Measures in Artificial Complex Networks

2021

The role of an actor in a social network is identified through a set of measures called centrality. Degree centrality, betweenness centrality, closeness centrality, and clustering coefficient are the most frequently used metrics to compute the node centrality. Their computational complexity in some cases makes unfeasible, when not practically impossible, their computations. For this reason, we focused on two alternative measures, WERW-Kpath and Game of Thieves, which are at the same time highly descriptive and computationally affordable. Our experiments show that a strong correlation exists between WERW-Kpath and Game of Thieves and the classical centrality measures. This may suggest the po…

Theoretical computer scienceSettore INF/01 - InformaticaComputational complexity theorySocial networkComputer sciencebusiness.industryNode (networking)Complex networksComplex networkSocial network analysisK-pathBetweenness centralityCentrality measuresCorrelation coefficientsCentralitybusinessSocial network analysisClustering coefficient
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Game of Thieves and WERW-Kpath: Two Novel Measures of Node and Edge Centrality for Mafia Networks

2021

Real-world complex systems can be modeled as homogeneous or heterogeneous graphs composed by nodes connected by edges. The importance of nodes and edges is formally described by a set of measures called centralities which are typically studied for graphs of small size. The proliferation of digital collection of data has led to huge graphs with billions of nodes and edges. For this reason, we focus on two new algorithms, Game of Thieves and WERW-Kpath which are computationally-light alternatives to the canonical centrality measures such as degree, node and edge betweenness, closeness and clustering. We explore the correlation among these measures using the Spearman’s correlation coefficient …

Theoretical computer scienceSettore INF/01 - InformaticaDegree (graph theory)Computer scienceClosenessComplex networksMafia networksComplex networkCorrelationComputational complexityBetweenness centralityNode (computer science)CentralityRank (graph theory)Cluster analysisCentrality
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GPU-accelerated exhaustive search for third-order epistatic interactions in case–control studies

2015

This is a post-peer-review, pre-copyedit version of an article published in Journal of Computational Science. The final authenticated version is available online at: https://doi.org/10.1016/j.jocs.2015.04.001 [Abstract] Interest in discovering combinations of genetic markers from case–control studies, such as Genome Wide Association Studies (GWAS), that are strongly associated to diseases has increased in recent years. Detecting epistasis, i.e. interactions among k markers (k ≥ 2), is an important but time consuming operation since statistical computations have to be performed for each k-tuple of measured markers. Efficient exhaustive methods have been proposed for k = 2, but exhaustive thi…

Theoretical computer scienceSource codeGeneral Computer ScienceComputer scienceComputationmedia_common.quotation_subjectGPUBrute-force searchCUDAMutual informationcomputer.software_genreTheoretical Computer ScienceMutual informationCUDAModeling and SimulationEpistasisGWASNode (circuits)Data miningTupleHeuristicscomputermedia_commonJournal of Computational Science
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Cs0.86(NH41.14SO4Te(OH)6 in porous anodic alumina for micro fuel cell applications.

2011

Abstract Cs0.86(NH4)1.14SO4Te(OH)6 supported by anodic alumina membranes (AAMs) has been characterized for the first time in H2/O2 fuel cell. The fabricated membrane electrode assemblies are able to produce peak power densities in the range 15–30 mW cm−2 under mild conditions (room temperature, low humidity and low Pt loading) and show an increased durability with cycling with respect to previous results obtained with AAM-based fuel cell. The physico-chemical characterization of the electrolytes has been carried out through X-ray diffractometry, scanning electron microscopy and micro-raman analysis. An estimation of the composite membranes conductance under fuel cell operation has been carr…

Thin film fuel cellScanning electron microscopeChemistryGeneral Chemical EngineeringInorganic chemistryConductanceElectrolytePorous alumina fuel cellCesium ammonium sulphate tellurateAnodeMembraneSettore ING-IND/23 - Chimica Fisica ApplicataChemical engineeringElectrodeComposite proton conductors Porous alumina fuel cell Thin film fuel cell Cesium ammonium sulphate tellurateElectrochemistryComposite proton conductorThin filmPorosity
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Nanoporous alumina membranes filled with solid acid for thin film fuel cells at intermediate temperatures

2004

Thin film fuel cells have been fabricated by impregnation of inorganic porous membranes with inorganic proton conductor. Anodic alumina membranes (50 μm thick and pore diameter of 200 nm), filled with CsHSO4 salt have been used as protonic conductor in a hydrogen-oxygen fuel cell working between 423 and 443 K in dry atmosphere. Polarization curves at 433 K showing ohmic control with open circuit values near 0.8 V and short circuit current around 8 mA cm−2 have been obtained. Possible causes of degradation as well as alternative routes to overcome some of the problems encountered with this approach will be reported. Keywords: Solid acid, Anodic alumina membranes, Pore filling, Thin film fuel…

Thin film fuel cellSolid acidMaterials scienceAnodic alumina membraneNanoporousOpen-circuit voltageProton exchange membrane fuel cellIntermediate temperature fuel cellAnodelcsh:ChemistrySettore ING-IND/23 - Chimica Fisica Applicatalcsh:Industrial electrochemistrylcsh:QD1-999Chemical engineeringAnodic alumina membranes Intermediate temperature fuel cell Pore filling Solid acid Thin film fuel cellElectrochemistryThin filmPore fillingSolid acid; Anodic alumina membranes; Pore filling; Thin film fuel cell; Intermediate temperature fuel cellPolarization (electrochemistry)Short circuitlcsh:TP250-261Proton conductor
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