Search results for "block"

showing 10 items of 1177 documents

The nickel-support interaction as determining factor of the selectivity to ethylene in the oxidative dehydrogenation of ethane over nickel oxide/alum…

2021

[EN] Nickel oxides supported on gamma-alumina (Ni-loading from 5 to 30 wt% NiO) have been synthesized and tested in the oxidative dehydrogenation (ODH) of ethane in order to determine the importance of the NiO-support interaction. The best performance was achieved by the catalyst with 15 wt% NiO; higher NiO-loadings lead to the formation of unselective bulk-like NiO and lower Ni-loadings present high proportion of free alumina surface sites. The presence of oxalic acid and/or niobium in the synthesis gel resulted in the formation of NiO particles with similar size, but higher crystallinity and reducibility than the standard 15 wt% NiO catalyst. The obtained results have revealed that, in ad…

Ethylene010405 organic chemistryChemistryProcess Chemistry and TechnologyNickel oxideInorganic chemistryNon-blocking I/OOxalic acidAluminachemistry.chemical_elementCatalyst characterization (XPS HREM UV raman and UV-vis-DRS)010402 general chemistry01 natural sciencesCatalysisODH0104 chemical sciencesCatalysisCrystallinitychemistry.chemical_compoundNickelEthyleneDehydrogenationOxidative dehydrogenation of ethaneNickel oxide
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Oxidative dehydrogenation of ethane on diluted or promoted nickel oxide catalysts: Influence of the promoter/diluter

2020

Ti- and Nb- containing NiO catalysts have been synthesized by two different preparation methods: i) by precipitation (Me-Ni-O oxides, Me = Nb or Ti), in order to prepare promoted NiO catalysts; and ii) by wet impregnation on TiO or NbO supports, in order to prepare diluted/supported NiO catalysts. The catalysts have been also characterized and tested in the oxidative dehydrogenation of ethane. The catalytic performance of Ti- and Nb-promoted catalysts strongly depends on the composition, although in both cases the optimal one is found at similar Ti or Nb loadings (ca. 90 wt% NiO), showing similar ethylene selectivity in the ODH of ethane (ca. 90% at 10–20% ethane conversion). However, in th…

EthyleneChemistryPrecipitation (chemistry)Nickel oxideNon-blocking I/OInorganic chemistry02 engineering and technologyGeneral Chemistry010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesCatalysis0104 chemical sciencesCatalysischemistry.chemical_compoundElectrophileDehydrogenation0210 nano-technologySelectivity
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Nickel oxide supported on porous clay heterostructures as selective catalysts for the oxidative dehydrogenation of ethane

2016

[EN] Porous clay heterostructures (PCH) have shown to be highly efficient supports for nickel oxide in the oxidative dehydrogenation of ethane. Thus NiO supported on silica with a PCH structure shows productivity towards ethylene three times higher than if NiO is supported on a conventional silica. This enhanced productivity is due to the increase in the catalytic activity and especially to the drastic increase in the selectivity to ethylene. Additionally, PCH silica partially modified with titanium in the columns (PCH-Ti) have also been synthesized and used as supports for NiO. An enhanced activity and selectivity to ethylene was found over NiO supported over PCH-Ti compared to the corresp…

EthyleneMaterials scienceCatalystsNickel oxideNon-blocking I/OInorganic chemistrychemistry.chemical_elementNickel oxide supported02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesCatalysis0104 chemical sciencesCatalysischemistry.chemical_compoundchemistryPorous Clay HeterostructuresDehydrogenationOxidative dehydrogenation of ethane0210 nano-technologyDispersion (chemistry)SelectivityTitaniumCatalysis Science & Technology
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“Functional Poly(ethylene glycol)”: PEG-Based Random Copolymers with 1,2-Diol Side Chains and Terminal Amino Functionality

2010

A series of poly(ethylene glycol-co-isopropylidene glyceryl glycidyl ether) (P(EO-co-IGG)) random copolymers with different fractions of 1,2-isopropylidene glyceryl glycidyl ether (IGG) units was synthesized. After acidic hydrolysis a new type of "functional PEGs", namely poly(ethylene glycol-co-glyceryl glycerol) (P(EO-co-GG)) was obtained. Using an initiator that releases a terminal amino moiety after deprotection, functional end groups with orthogonal reactivity to the in-chain groups were obtained. All polymers showed narrow molecular weight distributions (1.07-1.19), and control of the molecular weights was achieved in the range 5000-30 000 g/mol. Random incorporation of both comonomer…

EthylenePolymers and PlasticsPolyglycerolDiolHigh-Loading SupportPolymerizationInorganic Chemistrychemistry.chemical_compoundPolymer chemistryMaterials ChemistryCopolymerSide chainMoietychemistry.chemical_classificationReagentsTelechelic polymerOxide)Organic ChemistryPolymerSoluble PolymersRecoverable CatalystschemistryPolymerizationGlycidolBlock-CopolymersDerivativesMacromolecules
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L’etichettatura di sostenibilità nel settore vitivinicolo

2022

Nel settore vitivinicolo la sostenibilità e la sua comunicazione al consumatore per mezzo dell’etichettatura, nel rispetto della normativa in materia, ha assunto una crescente rilevanza, anche in ragione delle pressanti esigenze ambientali e climatiche che costringono ad un ripensamento in chiave digitale di sistemi e tecniche di produzione, in un’ottica di ottimizzazione e preservazione delle risorse naturali. Partendo da una preliminare riflessione circa il significato giuridico del termine “sostenibile”, il contributo si sofferma su come il legame tra iniziativa imprenditoriale, sviluppo di innovative tecnologie digitali, ricerca di nuovi spazi di mercato e sicurezza giuridica abbia anc…

Etichettatura - vino - sostenibilità - VIVA - SQNPIsmart- label - internet of things - blockchain - corporate social responsibilitySettore IUS/03 - Diritto Agrario
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Colloidal Nanoplatelet/Conducting Polymer Hybrids: Excitonic And Material Properties

2016

WOS:000370678700053 Here we present the first account of conductive polymer/colloidal nanoplatelet hybrids. For this, we developed DEH-PPV-based polymers with two different anchor groups (sulfide and amine) acting as surfactants for CdSe nanoplatelets, which are atomically flat semiconductor nanocrystals. Hybridization of the polymers with the nanoplatelets in the solution phase was observed to cause strong photoluminescence quenching in both materials. Through steady-state photoluminescence and excitation spectrum measurements, photoluminescence quenching was shown to result from dominant exciton dissociation through charge transfer at the polymer/nanoplatelet interfaces that possess a sta…

Excitation spectrumMaterials sciencePhotoluminescenceSulfideDEH-PPV-Based PolymersSulfideExcitonCdSe NanoplateletsNanotechnology02 engineering and technologySurface active agents010402 general chemistryOptoelectronic devices01 natural sciencesDissociation (chemistry)ColloidCharge transferQuenchingHybrid optoelectronic devicesPhysical and Theoretical ChemistryPhotoluminescenceSulfur compoundsAmineSemiconductor nanocrystalsConductive polymerchemistry.chemical_classificationExcited statesBuilding blockesPolymerInterface statesEmission quenching021001 nanoscience & nanotechnology0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsPolymer/Colloidal Nanoplatelet HybridsGeneral EnergyChemical engineeringchemistryExcited stateAnchorsExcitons0210 nano-technologyDissociationConductive polymerPhotoluminescence quenchingExciton dissociation
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Improving the thermal performance of the transparent building envelope: finite element analysis of possible techniques to reduce the U-value of the g…

2012

U-value of glazed elements is often a critical issue because these components, due to their small thickness and to the poor resistance of the glass and frame materials, cause very relevant heat fluxes. This paper presents an investigation on the thermal properties of a particular glazed component: the glassblock. Generally standard glassblocks have high U- values in comparison to the maximum values allowed by energy efficiency standards for glazed surfaces. This paper reports a summary of possible solutions that could improve the performances of the glassblock. A set of new configurations of the glassblock has been defined by schematic models and their overall thermal resistance has been as…

FEMSettore ING-IND/11 - Fisica Tecnica AmbientaleU-valueglass-block
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USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

2019

Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Central Gland (CG) and Peripheral Zone (PZ) can lead to differential diagnosis, since tumor's frequency and severity differ in these regions. To tackle the prostate zonal segmentation task, we propose a novel Convolutional Neural Network (CNN), called USE-Net, which incorporates Squeeze-and-Excitation (SE) blocks into U-Net. Especially, the SE blocks are added after every Encoder (Enc USE-Net) or Encoder-Decoder block (Enc-Dec USE-Net). This study ev…

FOS: Computer and information sciences0209 industrial biotechnologyComputer Science - Machine LearningGeneralizationComputer scienceComputer Vision and Pattern Recognition (cs.CV)Cognitive NeuroscienceComputer Science - Computer Vision and Pattern RecognitionConvolutional neural network02 engineering and technologyConvolutional neural networkMachine Learning (cs.LG)Image (mathematics)Prostate cancer020901 industrial engineering & automationArtificial IntelligenceProstate0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingAnatomical MRISegmentationBlock (data storage)Prostate cancermedicine.diagnostic_testSettore INF/01 - Informaticabusiness.industryAnatomical MRI; Convolutional neural networks; Cross-dataset generalization; Prostate cancer; Prostate zonal segmentation; USE-NetINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionUSE-Netmedicine.diseaseComputer Science Applicationsmedicine.anatomical_structureCross-dataset generalizationFeature (computer vision)Prostate zonal segmentation020201 artificial intelligence & image processingConvolutional neural networksArtificial intelligencebusinessEncoder
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Sequentializing Parameterized Programs

2012

We exhibit assertion-preserving (reachability preserving) transformations from parameterized concurrent shared-memory programs, under a k-round scheduling of processes, to sequential programs. The salient feature of the sequential program is that it tracks the local variables of only one thread at any point, and uses only O(k) copies of shared variables (it does not use extra counters, not even one counter to keep track of the number of threads). Sequentialization is achieved using the concept of a linear interface that captures the effect an unbounded block of processes have on the shared state in a k-round schedule. Our transformation utilizes linear interfaces to sequentialize the progra…

FOS: Computer and information sciencesComputer Science - Logic in Computer ScienceScheduleComputer scienceD.2.4;F.3.1Interface (computing)Parameterized complexitymodel-checking02 engineering and technologyThread (computing)computer.software_genrelcsh:QA75.5-76.95parameterized programsComputer Science - Software Engineeringsoftware verification0202 electrical engineering electronic engineering information engineeringBlock (data storage)Programming languagelcsh:MathematicsD.2.4Local variable020207 software engineeringlcsh:QA1-939Logic in Computer Science (cs.LO)Software Engineering (cs.SE)Transformation (function)model-checking; software verification; parameterized programs020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceState (computer science)F.3.1computerElectronic Proceedings in Theoretical Computer Science
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Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia

2020

Compared to other types of social networks, criminal networks present hard challenges, due to their strong resilience to disruption, which poses severe hurdles to law-enforcement agencies. Herein, we borrow methods and tools from Social Network Analysis to (i) unveil the structure of Sicilian Mafia gangs, based on two real-world datasets, and (ii) gain insights as to how to efficiently disrupt them. Mafia networks have peculiar features, due to the links distribution and strength, which makes them very different from other social networks, and extremely robust to exogenous perturbations. Analysts are also faced with the difficulty in collecting reliable datasets that accurately describe the…

FOS: Computer and information sciencesEconomicsComputer science0211 other engineering and technologiesSocial SciencesCriminology02 engineering and technologycomputer.software_genreSocial NetworkingSociologyStatistics - Machine LearningCentralityCriminals; Humans; Sicily; Social NetworkingSicilySocial network analysisHuman CapitalMultidisciplinarySettore INF/01 - InformaticaQ05 social sciencesRComputer Science - Social and Information NetworksPoliceProfessionsSocial NetworksMedicineCrimeNetwork AnalysisResearch ArticleNetwork analysisComputer and Information SciencesScienceMachine Learning (stat.ML)Computer securityNetwork ResilienceHuman capitalBetweenness centralityHumansResilience (network)0505 lawBlock (data storage)Social and Information Networks (cs.SI)021110 strategic defence & security studiesSocial networkbusiness.industryNode (networking)CriminalsCommunicationsPeople and Places050501 criminologyPopulation GroupingsCentralitybusinesscomputer
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