Search results for " box"

showing 10 items of 161 documents

Experimental System Identification and Black Box Modeling of Hydraulic Directional Control Valve

2015

Directional control valves play a large role in most hydraulic systems. When modeling the hydraulic systems, it is important that both the steady state and dynamic characteristics of the valves are modeled correctly to reproduce the dynamic characteristics of the entire system. In this paper, a proportional valve (Brevini HPV 41) is investigated to identify its dynamic and steady state characteristics. The steady state characteristics are identified by experimental flow curves. The dynamics are determined through frequency response analysis and identified using several transfer functions. The paper also presents a simulation model of the valve describing both steady state and dynamic charac…

Control valvesEngineeringFrequency response analysisSteady state (electronics)business.industryblack box modelingBrevini HPV41Transfer functionlcsh:QA75.5-76.95Computer Science ApplicationsDirectional control valveIdentification (information)Experimental systemControl and Systems EngineeringControl theoryModeling and SimulationBlack boxlcsh:Electronic computers. Computer scienceHydraulic machinerybusinessSoftwaresystem identificationModeling, Identification and Control
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High mobility group box 1 and markers of oxidative stress in human cord blood.

2019

Background Parturition induces considerable oxidative stress and many inflammatory mediators, such as high mobility group box 1 (HMGB1), are involved from the beginning of the pregnancy to birth. The aim of the present study was to evaluate serum cord blood concentration of diacron-reactive oxygen metabolites (d-ROM), biological antioxidant potential (BAP), and HMGB1 to investigate the perinatal oxidative status of neonates and correlation with mode of delivery, as well as the influence of labor. Methods The subjects consisted of 214 neonates delivered at University Hospital "G. Martino", Messina, in a 6 months period. Venous blood samples were collected from the umbilical cord after cord s…

CordPhysiology030204 cardiovascular system & hematologyHMGB1medicine.disease_causeUmbilical cordUmbilical veinAntioxidants03 medical and health sciences0302 clinical medicinePregnancy030225 pediatricsMedicineHumansHMGB1 ProteinPregnancyLabor Obstetricbiologybusiness.industryInfant NewbornCord blood high mobility group box 1 newborn oxidative stress pregnancy.cord blood high mobility group box 1 newborn oxidative stress pregnancyVenous bloodmedicine.diseaseDelivery ObstetricFetal BloodOxidative Stressmedicine.anatomical_structureItalyCord bloodPediatrics Perinatology and Child Healthbiology.proteinFemalebusinessReactive Oxygen SpeciesOxidative stressBiomarkers
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Multiplicity of fixed points and growth of ε-neighborhoods of orbits

2012

We study the relationship between the multiplicity of a fixed point of a function g, and the dependence on epsilon of the length of epsilon-neighborhood of any orbit of g, tending to the fixed point. The relationship between these two notions was discovered before (Elezovic, Zubrinic, Zupanovic) in the differentiable case, and related to the box dimension of the orbit. Here, we generalize these results to non-differentiable cases introducing a new notion of critical Minkowski order. We study the space of functions having a development in a Chebyshev scale and use multiplicity with respect to this space of functions. With the new definition, we recover the relationship between multiplicity o…

Critical Minkowski orderDynamical Systems (math.DS)Fixed pointsymbols.namesakeMinkowski spaceFOS: MathematicsCyclicityDifferentiable functionHomoclinic orbitlimit cycles; multiplicity; cyclicity; Chebyshev scale; Critical Minkowski order; box dimension; homoclinic loopMathematics - Dynamical SystemsAbelian groupPoincaré mapMathematicsBox dimensionApplied MathematicsMathematical analysisMultiplicity (mathematics)Limit cyclesMultiplicityPoincaré conjecturesymbols37G15 34C05 28A75 34C10Homoclinic loopAnalysisChebyshev scaleJournal of Differential Equations
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Cesare Pavese’s Il campo di granturco: geographical trails

2021

This article proposes a critical reading of the short story, Il campo di granturco [The Cornfield], by Cesare Pavese. Methodologically and epistemologically, it tries to highlight the existing consonances between literature and geography with regards to three key concepts – the border, the landscape, and the territory – that form an indissoluble connection between human beings and the world. In geography, border, landscape, and territory are regarded as key cognitive mediators within the interaction between the Self and the world. What purpose, then, does reading Pavese from a geographic perspective serve? Why do his works matter within the context of cultural geography? Pavese’s Il campo …

Cultural StudiesCritical readingGeography Planning and DevelopmentSociologyEnvironmental Science (miscellaneous)Dialog boxborder dialog landscape literature pavese territoryHumanities
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De las experiencias y cruces en el discurso de la memoria: de la involuntaria en Proust a la del Polidor en '62/ Modelo para armar' de Cortázar

2014

Resumen Este trabajo propone un analisis intertextual de las primeras paginas de la novela de Julio Cortazar, 62/Modelo para armar . Intenta poner en evidencia un dialogo con el autor frances Marcel Proust, cruzando el discurso proustiano sobre la memoria con el de la experiencia vivida por el personaje principal de la novela en el restaurante Polidor . Al describir con precision como Juan vive la experiencia del Polidor y al compararla con las que vive el Narrador en Le Temps retrouve , este trabajo intentara exponer el dialogo que se establece en estas paginas sobre temas literarios tan relevantes como los recuerdos, las asociaciones analogicas de imagenes, la inteligencia y las metaforas…

Cultural StudiesmemoriaLinguistics and LanguageHistoryLiterature and Literary TheoryCortázar; Proust; discurso; experiencia; memoriaCommunicationmedia_common.quotation_subjectCortázarProustArtdiscursoLanguage and LinguisticsexperienciaLiteratura; MemoriaLiteraturaDialog boxHumanitiesmedia_common
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Different genomic organization and expression of immunoglobulin light-chain isotypes in the rainbow trout.

2000

cDNA studies have distinguished two isotypes of the rainbow trout (Oncorhynchus mykiss) immunoglobulin (Ig) light chain (designated L1 and L2). This study characterized genomic clones of these isotypes. L1 genes are arranged in clusters with single copies of variable (V), joining (J), and constant (C) segments. The transcriptional orientation of the V genes is opposite to that of the J and C segments, indicating that the V genes must be rearranged by inversion. L2 is also organized in clusters, consisting of two or three V, one J, and one C exon, all in the same transcriptional orientation. L1 and L2 of rainbow trout are similar to the previously identified cod and catfish clusters. Repeat …

DNA ComplementaryTATA boxImmunologyMolecular Sequence DataImmunoglobulin Variable RegionGene ExpressionBiologyImmunoglobulin light chainComplementary DNASequence Homology Nucleic AcidGeneticsAnimalsAmino Acid SequenceRNA MessengerEnhancerPromoter Regions GeneticGeneGenomic organizationGeneticsBase SequenceSequence Homology Amino AcidMolecular biologyImmunoglobulin IsotypesRegulatory sequenceOncorhynchus mykissImmunoglobulin Joining RegionImmunoglobulin Light ChainsSequence motifImmunoglobulin Constant RegionsImmunogenetics
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Building energy performance forecasting: A multiple linear regression approach

2019

Abstract Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches. The identification of the most suitable approach is important to accelerate the preliminary energy assessment. In the first category, several numerical methods have been developed and implemented in specialised software using different mathematical languages. However, these tools require an expert user and a model calibration. The authors, in order to overcome these limitations, have developed an alternative, reliable linear regression model to determine building energy needs. Starting from a detailed …

Decision support systemComputer scienceCalibration (statistics)020209 energy02 engineering and technologyManagement Monitoring Policy and LawBuilding energy demandsymbols.namesake020401 chemical engineeringLinear regression0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)0204 chemical engineeringReliability (statistics)Multiple linear regressionSettore ING-IND/11 - Fisica Tecnica AmbientaleMechanical EngineeringBuilding and ConstructionIndustrial engineeringPearson product-moment correlation coefficientDynamic simulationIdentification (information)Black box methodGeneral EnergysymbolsForecast methodSensitivity analysisDynamic simulation
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Co-Evolutionary Coupling via a Digital-bio Ecosystem – A Suggestion for a New R&D Model in the Digital Economy

2019

A solution to the critical problem of a dilemma between R&D expansion and productivity decline that a majority of information and communication technology (ICT) leaders have been confronting in the digital economy is expected. It can be expected by a spinoff from economic functionality-seeking GDP-based coevolution cycle to supra-functionality beyond an economic value-seeking uncaptured GDP-driven coevolution cycle. However, the transformation dynamism remains a black box. By means of numerical simulations based on empirical analyses of the development trajectories of global ICT leaders, focusing on Amazon and Finland, together with an intensive review of preceding analyses, this paper atte…

DilemmaInformation and Communications TechnologyCircular economyBlack boxEconomicsDigital economyDynamismEconomic systemProductivityCoevolutionSSRN Electronic Journal
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Expression of the transcription factor Pax6 in the adult rat dentate gyrus

2005

The transcription factor Pax 6 is expressed in precursor cells during embryonic CNS development, and it plays an important role in the regulation of cell proliferation and neuronal fate determination. Pax 6-expressing cells are also present in the adult hippocampal dentate gyrus and subventricular zone/rostral migratory stream, regions in which neuronal precursors exist during adult life. In the adult dentate gyrus, precursor cells are located in the innermost portion of the granule cell layer, and Pax 6-expressing nuclei are most abundant in this region. To examine the putative role of Pax 6 in adult hippocampal neurogenesis, we have studied the proliferative activity, distribution, and ph…

Doublecortin Domain ProteinsMalePAX6 Transcription FactorAntimetabolitesGreen Fluorescent ProteinsSubventricular zoneNerve Tissue ProteinsHippocampal formationBiologyNestinRats Sprague-DawleyCellular and Molecular NeuroscienceIntermediate Filament ProteinsGlial Fibrillary Acidic ProteinBasic Helix-Loop-Helix Transcription FactorsmedicineAnimalsPaired Box Transcription FactorsEye ProteinsCell ProliferationHomeodomain ProteinsNeuronsStem CellsDentate gyrusNeuropeptidesNeurogenesisGranule cellImmunohistochemistryRatsRepressor ProteinsNeuroepithelial cellNeuropoiesismedicine.anatomical_structureBromodeoxyuridinenervous systemDentate GyrusPAX6Plant LectinsMicrotubule-Associated ProteinsNeuroscienceJournal of Neuroscience Research
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CNN based Gearbox Fault Diagnosis and Interpretation of Learning Features

2021

Machine learning based fault diagnosis schemes have been intensively proposed to deal with faults diagnosis of rotating machineries such as gearboxes, bearings, and electric motors. However, most of the machine learning algorithms used in fault diagnosis are pattern recognition tools, which can classify given data into two or more classes. The underlined physical phenomena in fault diagnosis are not directly interpretable in machine learning schemes, thus it is usually called black/gray box models. In this study, convolutional neural networks (CNN) machine learning algorithm is proposed to classify gearbox faults, and the learning features of the CNN filters are visualized to understand the…

Electric motorGray box testingbusiness.industryComputer sciencePattern recognitionHardware_PERFORMANCEANDRELIABILITYFault (power engineering)Convolutional neural networkFrequency domainPattern recognition (psychology)Domain knowledgeArtificial intelligencebusinessFeature learning2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)
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