Search results for "89"

showing 10 items of 1153 documents

HTLS Conductors: A Way to Optimize RES Generation and to Improve the Competitiveness of the Electrical Market—A Case Study in Sicily

2018

Stringent environmental constraints make more difficult to identify new energy corridors and build new power lines. The increase in the generation of electricity from renewable energy sources (RESs) makes the operation of electrical systems increasingly difficult in some areas. The transmission system operators (TSOs), in Italy Terna, are forced to exploit the existing overhead transmission lines, increasing the possibility of dispatching energy, in particular RES, optimizing the transmission capacity. Therefore, after a brief presentation of the Sicilian electricity system and a brief description of high-temperature low-sag (HTLS) conductors, a case study is presented. It is shown how it i…

Computer engineering. Computer hardwareGeneral Computer ScienceExploitArticle SubjectComputer sciencebusiness.industry020209 energyOverhead (engineering)02 engineering and technologyReliability engineeringRenewable energyThermal resistant conductor HTLS conductor Electrical marketSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaTK7885-7895Electric power transmissionElectricity generationTransmission (telecommunications)Signal Processing0202 electrical engineering electronic engineering information engineeringElectricityElectrical and Electronic EngineeringResilience (network)businessJournal of Electrical and Computer Engineering
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Hypervisor-assisted dynamic malware analysis

2021

AbstractMalware analysis is a task of utmost importance in cyber-security. Two approaches exist for malware analysis: static and dynamic. Modern malware uses an abundance of techniques to evade both dynamic and static analysis tools. Current dynamic analysis solutions either make modifications to the running malware or use a higher privilege component that does the actual analysis. The former can be easily detected by sophisticated malware while the latter often induces a significant performance overhead. We propose a method that performs malware analysis within the context of the OS itself. Furthermore, the analysis component is camouflaged by a hypervisor, which makes it completely transp…

Computer engineering. Computer hardwareSoftware_OPERATINGSYSTEMSvirtualisointiComputer Networks and CommunicationsComputer scienceContext (language use)Static program analysiscomputer.software_genreTK7885-7895Artificial IntelligenceComponent (UML)Overhead (computing)tietoturvaMalware analysiskyberturvallisuusbusiness.industryHypervisorQA75.5-76.95haittaohjelmatComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMSTask (computing)Electronic computers. Computer scienceEmbedded systemMalwarebusinesscomputerSoftwareInformation SystemsCybersecurity
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Detection of developmental dyslexia with machine learning using eye movement data

2021

Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals’ aspirations if not detected and treated early. Instead of costly diagnostic assessment made by experts, in the near future dyslexia might be identified with ease by automated analysis of eye movements during reading provided by embedded eye tracking technology. However, the diagnostic machine learning methods need to be optimized first. Previous studies with machine learning have been quite successful in identifying dyslexic readers, however, using contrasting groups with large performance differences between diagnosed and good readers. A practical challenge is to identify also individuals with bord…

Computer engineering. Computer hardwareSupport Vector MachineComputer sciencemedia_common.quotation_subject02 engineering and technologyMachine learningcomputer.software_genre050105 experimental psychologyDyslexiaTK7885-7895FluencysilmänliikkeetoppimisvaikeudetReading (process)dyslexia0202 electrical engineering electronic engineering information engineeringmedicinedysleksia0501 psychology and cognitive sciencessupport vector machinemedia_commonRandom ForestRecallbusiness.industry05 social sciencesDyslexiaEye movementGeneral MedicineQA75.5-76.95diagnostiikkamedicine.diseaseRandom forestkoneoppiminenElectronic computers. Computer scienceLearning disabilityEye tracking020201 artificial intelligence & image processingArtificial intelligencemedicine.symptombusinesscomputerrandom forestArray
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Complex networks : application for texture characterization and classification

2008

This article describes a new method and approch of texture characterization. Using complex network representation of an image, classical and derived (hierarchical) measurements, we presente how to have good performance in texture classification. Image is represented by a complex networks : one pixel as a node. Node degree and clustering coefficient, using with traditionnal and extended hierarchical measurements, are used to characterize ”organisation” of textures.

Computer engineering. Computer hardwareTexture compressionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComplex networksImage processingTexture (geology)TK7885-7895Image textureImage processingAnàlisi de texturaProcesamiento de imágenestexture analysisClustering coefficientAnálisis de texturaRedes complejasPixelbusiness.industryNode (networking)Pattern recognitionProcessament d'imatgescomplex networksQA75.5-76.95Xarxes complexesComplex networkTexture analysisElectronic computers. Computer scienceComputer Science::Computer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareELCVIA: electronic letters on computer vision and image analysis
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Targeting fibroblast activation protein (FAP): next generation PET radiotracers using squaramide coupled bifunctional DOTA and DATA5m chelators

2020

Abstract Background Fibroblast activation protein (FAP) is a proline selective serine protease that is overexpressed in tumor stroma and in lesions of many other diseases that are characterized by tissue remodeling. In 2014, a most potent FAP-inhibitor (referred to as UAMC1110) with low nanomolar FAP-affinity and high selectivity toward related enzymes such as prolyl oligopeptidase (PREP) and the dipeptidyl-peptidases (DPPs): DPP4, DPP8/9 and DPP2 were developed. This inhibitor has been adopted recently by other groups to create radiopharmaceuticals by coupling bifunctional chelator-linker systems. Here, we report squaric acid containing bifunctional DATA5m and DOTA chelators relied on UAMC…

Computer. Automationlcsh:Medical physics. Medical radiology. Nuclear medicine540 Chemistry and allied sciencesPREPPharmacology. Therapylcsh:R895-920Gallium-68lcsh:RM1-950610 MedizinFAPDATA5mChemistrylcsh:Therapeutics. PharmacologyDOTA540 Chemie610 Medical sciencesSquaric acidneoplasmsEJNMMI Radiopharmacy and Chemistry
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"Table 1" of "Measurement of inclusive K*(892)0, Phi(1020) and K*2(1430)0 production in hadronic Z decays."

1996

SIG in (1/SIG) is the total hadronic cross section. The statistical and systematic errors are combined quadratically.

ComputingMilieux_THECOMPUTINGPROFESSIONStrange productionGeneralLiterature_INTRODUCTORYANDSURVEYInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)E+ E- --> K*(892)0 X91.2E+ E- --> K*BAR(892)0 XDSIG/DXInclusiveSingle Differential Cross SectionInformationSystems_MODELSANDPRINCIPLESE+ E- ScatteringInformationSystems_MISCELLANEOUSComputer Science::Cryptography and Security
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"Table 138" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Oblateness distribution at c.m. energy 189.00 GeV.

Condensed Matter::Quantum GasesSingle Differential Cross Section189.0DSIG/DOBLATENESSE+ E- --> HADRONSE+ E- ScatteringPhysics::Space PhysicsPhysics::Atomic and Molecular ClustersExclusiveHigh Energy Physics::ExperimentNuclear Experiment
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Working towards an international consensus on criteria for assessing internet gaming disorder: a critical commentary on Petry et al. (2014).

2016

This commentary paper critically discusses the recent debate paper by Petry et al. (2014) that argued there was now an international consensus for assessing Internet Gaming Disorder (IGD). Our collective opinions vary considerably regarding many different aspects of online gaming. However, we contend that the paper by Petry and colleagues does not provide a true and representative international community of researchers in this area. This paper critically discusses and provides commentary on (i) the representativeness of the international group that wrote the ‘consensus’ paper, and (ii) each of the IGD criteria. The paper also includes a brief discussion on initiatives that could be taken to…

ConsensusInternationality030508 substance abuseMedicine (miscellaneous)Representativeness heuristicArticleDSM-5ddc:616.8903 medical and health sciences0302 clinical medicineHumansEmpirical evidencebusiness.industryInternational communityVideo Games/psychologyPublic relations030227 psychiatryBehavior AddictiveDiagnostic and Statistical Manual of Mental DisordersPsychiatry and Mental healthVideo GamesScale (social sciences)Video game addictionThe InternetIndustrial and organizational psychology0305 other medical sciencePsychologybusinessSocial psychologyBehavior Addictive/diagnosisAddiction (Abingdon, England)
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Assessment of Arundo donax Fibers for Oil Spill Recovery Applications

2019

In the last years, natural fibers are increasingly investigated as an oil recovery system in order to overcome the oil spillage phenomena, thus preserving environment and aquatic life. In particular, lignocellulose-based fibers have recently been employed with promising results. In such a context, the aim of this paper is to assess the oil sorption capability of natural fibers extracted from the stem of the giant reed Arundo donax L., a perennial rhizomatous grass belonging to the Poaceae family that grows naturally all around the world thanks to its ability to tolerate different climatic conditions. Sorption tests in several pollutants and water as a reference were carried out. The fibers …

Context (language use)02 engineering and technology<i>Arundo donax</i>010501 environmental sciences01 natural sciencesArundo donaxBiomaterialsAdsorptionnatural fiberslcsh:TP890-933lcsh:TP200-248morphologyPoaceaelcsh:QH301-705.50105 earth and related environmental sciencesCivil and Structural EngineeringPollutantoil recoverybiologyAquatic ecosystemArundo donaxSorptionlcsh:Chemicals: Manufacture use etc.021001 nanoscience & nanotechnologyPulp and paper industrybiology.organism_classificationNatural fibernatural fibers; Arundo donax; oil recovery; sorption capacity; morphologylcsh:QC1-999sorption capacitylcsh:Biology (General)Mechanics of MaterialsOil spillCeramics and CompositesEnvironmental sciencelcsh:Textile bleaching dyeing printing etc.0210 nano-technologylcsh:PhysicsFibers
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Il controllo statistico di processo nell'ambito della direttiva 89/106/CEE

2010

Controllo statistico di processodirettiva 89/106/CEE
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