Search results for "fault"

showing 10 items of 610 documents

Differential association of default mode network connectivity and rumination in healthy individuals and remitted MDD patients

2016

Rumination is associated with increased default-mode network (DMN) activity and functional connectivity (FC) in depressed and healthy individuals. In this study, we sought to examine the relationship between self-reported rumination and resting-state FC in the DMN and cognitive control networks in 25 remitted depressed patients and 25 matched healthy controls using independent component and seed-based analyses. We also explored potential group differences in the global pattern of resting-state FC. Healthy subjects with increased levels of rumination exhibited increased anterior DMN connectivity with the posterior DMN and the dorsal attention network and low connectivity within the anterior …

AdultMalemedicine.medical_specialtyNerve netCognitive NeuroscienceExperimental and Cognitive PsychologyBrain mappingThinking03 medical and health sciences0302 clinical medicineReference ValuesTask-positive networkmedicineHumansAttentionPsychiatryDepression (differential diagnoses)Default mode networkBrain MappingDepressive Disorder MajorBrainCognitionGeneral MedicineOriginal ArticlesMiddle AgedMagnetic Resonance Imaging030227 psychiatrymedicine.anatomical_structureHealthy individualsRuminationFemalemedicine.symptomNerve NetPsychologyNeurosciencehuman activities030217 neurology & neurosurgeryAlgorithms
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Imagination in human social cognition, autism, and psychotic-affective conditions

2016

Abstract Complex human social cognition has evolved in concert with risks for psychiatric disorders. Recently, autism and psychotic-affective conditions (mainly schizophrenia, bipolar disorder, and depression) have been posited as psychological ‘opposites’ with regard to social-cognitive phenotypes. Imagination, considered as ‘forming new ideas, mental images, or concepts’, represents a central facet of human social evolution and cognition. Previous studies have documented reduced imagination in autism, and increased imagination in association with psychotic-affective conditions, yet these sets of findings have yet to be considered together, or evaluated in the context of the diametric mode…

Affective Disorders PsychoticMaleAutism-spectrum quotientLinguistics and LanguageCognitive NeuroscienceautismExperimental and Cognitive PsychologyContext (language use)050105 experimental psychologyLanguage and LinguisticsDevelopmental psychology03 medical and health sciencesCognition0302 clinical medicineSocial cognitionmental disordersDevelopmental and Educational PsychologymedicineHumans0501 psychology and cognitive sciencesSociological imaginationAutistic DisorderSocial Behaviorta515creativityDefault mode network05 social sciencesCognitionmedicine.diseaseschizophreniaSchizophreniapolygenic risk scoreta1181AutismFemalePsychologyimaginationautism spectrum quotient030217 neurology & neurosurgeryCognitive psychologyCognition
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Tectonic control over large-scale diffuse degassing in eastern Sicily (Italy)

2002

Eastern Sicily (southern Italy) is characterised by the presence of many natural gas emissions (mofettes, mud volcanoes). These gases are mostly carbon dioxide and methane, with minor amounts of helium, hydrogen, carbon monoxide and hydrocarbons. In this study, the extent and orientation of soil gas anomalies (He and CO2) were investigated on a wide area (approximately 110 km2) located just SW of Mt. Etna. From a structural point of view, this area lays on a typical foredeep–foreland system that marks the boundary between the southern part of the Eurasian plate and the northern part of the African plate in the central Mediterranean. No tectonic structure was revealed in this area by surface…

African PlateTotal organic carbonNatural gasbusiness.industryEarth scienceSoil gasEurasian PlateGeneral Earth and Planetary SciencesActive faultbusinessMantle (geology)GeologyMud volcanoGeofluids
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Experimental characterization of variable-speed packaged rooftop units in presence of evaporator fouling

2022

Variable-speed packaged rooftop units have been increasingly adopted in the commercial sector. If not properly maintained, the fouling of heat exchangers and the improper refrigerant charge could increase energy consumption. In this work, the response of variable-speed rooftop units to evaporator fouling is investigated based on experiments on a variable-speed 17.5 kW rooftop unit. A novel testing procedure is proposed, aimed at covering a broad range of operating conditions by a reduced number of tests. Two opposite cases were investigated: (i) even in presence of fouling, the controller can restore the required cooling capacity, and (ii) the intensity of the fouling does not allow the con…

Air-conditioning systems Fouling Faults Detection and Diagnosis Variable-speed Rooftop Unit Testing Procedure.Settore ING-IND/10 - Fisica Tecnica Industriale
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Aroma release in the oral cavity after wine intake is influenced by wine matrix composition

2018

The aim of this study has been to investigate if wine matrix composition might influence the interaction between odorants and oral mucosa in the oral cavity during a “wine intake-like” situation. Aroma released after exposing the oral cavity of three individuals to different wines (n = 12) previously spiked with six target aromas was followed by an -in vivo intra-oral SPME approach. Results showed a significant effect of wine matrix composition on the intra-oral aroma release of certain odorants. Among the wine matrix parameters, phenolic compounds showed the largest impact. This effect was dependent on their chemical structure. Some phenolic acids (e.g. hippuric, caffeic) were associated t…

Alcohol DrinkingAroma-wine matrix interactions[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionIntra-oral aroma releasephenolic metabolitessalivary proteinsWineperceptionGas Chromatography-Mass SpectrometryAnalytical ChemistrytanninMatrix (chemical analysis)chemistry.chemical_compound0404 agricultural biotechnologyPhenolic compositionLinaloolmodel wineHumansFood scienceAromaWineMouthChromatographybiologyretronasal aromaEthyl hexanoatefood and beverages04 agricultural and veterinary sciencesGeneral Medicinered wineWine faultbiology.organism_classificationhuman feces040401 food sciencestomatognathic diseaseschemistryWineIntra-oral aroma releaseOdorantsmolecular-levelComposition (visual arts)Oral mucosaGas chromatography–mass spectrometryheadspace[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceAroma persistence
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Un escarpement sous-marin permanent du Lias à l'Eocène, dans la dorsale calcaire Péloritaine (Sicile, Italie)

1999

The schistosity of the Palaeozoic basement of the Capo San Andrea unit (Peloritan Dorsale) is cut by Liassic to Eocene neptunian dykes which developed along a pelagic fault scarp exposed on the sea bottom for 140 My. The Mesozoic structures determined the location of the Alpine deformation.

AmmoniteOcean EngineeringFault scarplanguage.human_languagePaleontologyBasement (geology)PhanerozoiclanguageAlpine orogenyMesozoicCenozoicPaleogeneEcology Evolution Behavior and SystematicsGeologyComptes Rendus de l'Académie des Sciences - Series IIA - Earth and Planetary Science
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“AND” luminescent “reactive” molecular logic gates: a gateway to multi-analyte bioimaging and biosensing

2014

This review outlines examples that illustrate a recent and highly innovative concept in the field of (bio)molecular sensing, namely the simultaneous multi-analyte detection using "reactive" luminescent probes that are able to produce an optical signal only in response to multiple (bio)chemical inputs and through covalent chemical reactions with target (bio)analytes. Unlike conventional "AND" molecular logic gates based on supramolecular photochemical mechanisms, these unusual "smart" optical (bio)probes are suitable tools to track the rise and fall of a wider range of biologically relevant analytes, in complex media and with higher selectivity. The potential utility of this concept for in v…

AnalyteLuminescenceLogicChemistryOrganic ChemistrySupramolecular chemistryNanotechnologyBiosensing TechniquesBiochemistryMolecular ImagingMetalsDefault gatewayLogic gateAnimalsHumansProtonsPhysical and Theoretical ChemistryMolecular imagingLuminescenceBiosensorMulti analyteOrganic & Biomolecular Chemistry
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Mitigating DDoS using weight‐based geographical clustering

2020

Distributed denial of service (DDoS) attacks have for the last two decades been among the greatest threats facing the internet infrastructure. Mitigating DDoS attacks is a particularly challenging task as an attacker tries to conceal a huge amount of traffic inside a legitimate traffic flow. This article proposes to use data mining approaches to find unique hidden data structures which are able to characterize the normal traffic flow. This will serve as a mean for filtering illegitimate traffic under DDoS attacks. In this endeavor, we devise three algorithms built on previously uncharted areas within mitigation techniques where clustering techniques are used to create geographical clusters …

Anomaly intrusion detectionsComputer Networks and CommunicationsComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSDenial-of-service attackFault tolerancecomputer.software_genreClustering techniquesData segmentComputer Science ApplicationsTheoretical Computer ScienceComputational Theory and MathematicsMitigating DDoS attacksCloud burstingData miningCluster analysisWeight based dosingcomputerSoftwareAddress clusteringMitigation techniquesConcurrency and Computation: Practice and Experience
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Modelling and analysis of real-world wind turbine power curves: Assessing deviations from nominal curve by neural networks

2019

Abstract The power curve of a wind turbine describes the generated power versus instantaneous wind speed. Assessing wind turbine performance under laboratory ideal conditions will always tend to be optimistic and rarely reflects how the turbine actually behaves in a real situation. Occasionally, some aerogenerators produce significantly different from nominal power curve, causing economic losses to the promoters of the investment. Our research aims to model actual wind turbine power curve and its variation from nominal power curve. The study was carried out in three different phases starting from wind speed and related power production data of a Senvion MM92 aero-generator with a rated powe…

Artificial neural networkComputer science020209 energy02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciAero-generatorFault (power engineering)Power lawTurbineWind speedControl theory0202 electrical engineering electronic engineering information engineering0601 history and archaeologyWind energySettore ING-IND/11 - Fisica Tecnica AmbientaleWind power060102 archaeologyRenewable Energy Sustainability and the Environmentbusiness.industrypower curve06 humanities and the artsPower (physics)Power ratingAnemometric campaignProducibility estimatebusinessNominal power (photovoltaic)Renewable Energy
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Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images

2021

Abstract Losses of electricity production in photovoltaic systems are mainly caused by the presence of faults that affect the efficiency of the systems. The identification of any overheating in a photovoltaic module, through the thermographic non-destructive test, may be essential to maintain the correct functioning of the photovoltaic system quickly and cost-effectively, without interrupting its normal operation. This work proposes a system for the automatic classification of thermographic images using a convolutional neural network, developed via open-source libraries. To reduce image noise, various pre-processing strategies were evaluated, including normalization and homogenization of pi…

Artificial neural networkContextual image classificationRenewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industry020209 energyDeep learningEnergy Engineering and Power TechnologyPattern recognitionSobel operatorAutomatic Fault recognition Convolutional Neural Network Photovoltaics TensorFlow Infrared Thermography02 engineering and technologyPerceptronConvolutional neural networkThresholdingThermographic inspectionFuel Technology020401 chemical engineeringNuclear Energy and Engineering0202 electrical engineering electronic engineering information engineeringArtificial intelligence0204 chemical engineeringbusinessEnergy Conversion and Management
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