Search results for "Mach"

showing 10 items of 3360 documents

How self-assembly of amphiphilic molecules can generate complexity in the nanoscale

2015

Abstract Given the importance of nanomaterials and nanostructures in modern technology, in the past decades much effort has been directed to set up efficient bottom up protocols for the piloted self-assembly of molecules. However, molecules are generally disinclined to adopt the desired structural organization because they behave according to their own specific intermolecular interactions. Thus, only some selected classes of chemical compounds are capable to lead to useful self-assembled structures. Amphiphiles, simultaneously possessing polar and apolar moieties within their molecular architecture, can give a wide scenario of possible intermolecular interactions: polar–polar, polar–apolar,…

Amphiphilic moleculeNanostructureStructural organizationChemistryNanomachinesNanotechnologyTop-down and bottom-up designLiving cellComplexitySelf-assemblyNanodevicesNanomachinesSelf-assemblyComplexityNanotechnologyColloid and Surface ChemistryNanotechnologySelf-assemblyNanodevices
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Affinity Sensors for the Diagnosis of COVID-19

2021

The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was proclaimed a global pandemic in March 2020. Reducing the dissemination rate, in particular by tracking the infected people and their contacts, is the main instrument against infection spreading. Therefore, the creation and implementation of fast, reliable and responsive methods suitable for the diagnosis of COVID-19 are required. These needs can be fulfilled using affinity sensors, which differ in applied detection methods and markers that are generating analytical signals. Recently, nucleic acid hybridization, antigen-antibody interaction, and change of reactive oxyge…

AnalyteCoronavirus disease 2019 (COVID-19)Computer scienceimmune complexSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)lcsh:Mechanical engineering and machinerySARS-CoV-2 virus02 engineering and technologyReviewelectrochemical immunosensors03 medical and health sciencesCOVID-19 ; SARS-CoV-2 virus ; RNA analysis ; bioelectrochemistry ; biosensors ; electro- chemical immunosensors ; antigen-antibody interaction ; immune complex ; molecularly imprinted polymers (MIPs) ; surface modification by immobilization of biomoleculesElectrochemical biosensorDetection theorylcsh:TJ1-1570Electrical and Electronic EngineeringSurface plasmon resonance030304 developmental biologysurface modification by immobilization of biomolecule0303 health sciencesMechanical EngineeringbioelectrochemistryCOVID-19surface modification by immobilization of biomoleculesRNA analysis021001 nanoscience & nanotechnologybiosensorsAntigen-antibody interactionControl and Systems Engineeringmolecularly imprinted polymers (MIPs)antigen-antibody interaction0210 nano-technologyBiological systemBiosensorMicromachines
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Il frammento riscritto. Su alcune citazioni tragiche ciceroniane

2016

The monody of Ennius'Andromacha represents for Cicero a poetic model and a source of inspiration. The quotations of the pro Sestio sound like imitation and rewriting

Andromache Ennius Cicero Quotation Rewriting
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Una nota testuale alla Galene di Andromaco il Vecchio (Andr.15)

2017

This paper wants to propose a conjecture to a corrupted pass (v. 15) of the so called Galene, the pharmacological poem in 87 elegiac couplets written by Andromachus the Elder.

Andromachus the Elder snakes NicanderSettore L-FIL-LET/02 - Lingua E Letteratura Greca
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Generalized power-angle control for grid-forming converters: A structural analysis

2022

Several control schemes have been recently proposed and studied as grid-forming controls for power converters. In all these schemes, the power-angle control loop is the part which defines the fundamental capabilities of the grid-forming control: that control loop governs in fact the inherent synchronization mechanism of the power converter, the power sharing with the other generation sources in the system and the oscillatory characteristics of the converter-based resource. This article introduces a general formulation for the power-angle control characterizing the grid-forming concept for power converters. The generalized power-angle control is based on a polynomial fraction formulation, an…

Angle control Damping Frequency control Grid-forming Inertia Power converters Power sharing Power-synchronization control Virtual synchronous machineSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaRenewable Energy Sustainability and the EnvironmentControl and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
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Machine Learning-Based Classification of Vector Vortex Beams.

2020

Structured light is attracting significant attention for its diverse applications in both classical and quantum optics. The so-called vector vortex beams display peculiar properties in both contexts due to the non-trivial correlations between optical polarization and orbital angular momentum. Here we demonstrate a new, flexible experimental approach to the classification of vortex vector beams. We first describe a platform for generating arbitrary complex vector vortex beams inspired to photonic quantum walks. We then exploit recent machine learning methods -- namely convolutional neural networks and principal component analysis -- to recognize and classify specific polarization patterns. O…

Angular momentumComputer sciencequantum opticquanutm informationphotonicsPrincipal component analysisGeneral Physics and AstronomyFOS: Physical sciencesMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networkSettore FIS/03 - Fisica Della Materiaquant-phPolarization0103 physical sciencesQuantum walk010306 general physicsQuantum opticsorbital angular momentum; machine learning; vector vortex beamsQuantum PhysicsQuantum opticsbusiness.industryVortex flowOptical polarizationVectorsVortexmachine learningConvolutional neural networksArtificial intelligencePhotonicsbusinessQuantum Physics (quant-ph)computerStructured lightPhysical review letters
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A preliminary study in Wistar rats with enniatin : A contaminated feed

2014

A 28-day repeated dose preliminary assay, using enniatin A naturally contaminated feed through microbial fermentation by a Fusarium tricinctum strain, was carried out employing two months-old female Wistar rats as in vivo experimental model. In order to simulate a physiological test of a toxic compound naturally produced by fungi, five treated animals were fed during twenty-eight days with fermented feed. As control group, five rats were fed with standard feed. At the 28th day, blood samples were collected for biochemical analysis and the gastrointestinal tract, liver and kidneys were removed from each rat for enniatin A detection and quantitation. Digesta were collected from stomach, duode…

Animal feedHealth Toxicology and MutagenesisIleumFood ContaminationBiologyToxicologyCromatografia de líquidsIntestinal absorptionMass SpectrometryJejunumIn vivoDepsipeptidesmedicineAnimalsIntestinal MucosaRats WistarGastrointestinal tractChromatographyStomachModels biològicsAnimal Feedmedicine.anatomical_structureBiochemistryIntestinal AbsorptionFermentationDuodenumFemaleChromatography Liquid
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Language Documentation and Descriptive Linguistics

2021

AnnotationRule-based machine translationLanguage documentationLinguistic descriptionTranscription (software)PsychologyLinguistics
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Comparative study to predict toxic modes of action of phenols from molecular structures.

2013

Quantitative structure-activity relationship models for the prediction of mode of toxic action (MOA) of 221 phenols to the ciliated protozoan Tetrahymena pyriformis using atom-based quadratic indices are reported. The phenols represent a variety of MOAs including polar narcotics, weak acid respiratory uncouplers, pro-electrophiles and soft electrophiles. Linear discriminant analysis (LDA), and four machine learning techniques (ML), namely k-nearest neighbours (k-NN), support vector machine (SVM), classification trees (CTs) and artificial neural networks (ANNs), have been used to develop several models with higher accuracies and predictive capabilities for distinguishing between four MOAs. M…

Antiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringMachine learningcomputer.software_genreConstant false alarm ratePhenolsArtificial IntelligenceDrug DiscoveryTraining setModels StatisticalArtificial neural networkCiliated protozoanMolecular StructureChemistrybusiness.industryTetrahymena pyriformisGeneral MedicineLinear discriminant analysisSupport vector machineTest setTetrahymena pyriformisMolecular MedicineArtificial intelligenceNeural Networks ComputerBiological systembusinesscomputerSAR and QSAR in environmental research
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Computer Modeling for the Prediction of Thoracic Aortic Stent Graft Collapse

2011

OBJECTIVE: To assess the biomechanical implications of excessive stent protrusion into the aortic arch in relation to thoracic aortic stent graft (TASG) collapse by simulating the structural load and quantifying the fluid dynamics on the TASG wall protrusion extended into a model arch. METHODS: One-way coupled fluid-solid interaction analyses were performed to investigate the flow-induced hemodynamic and structural loads exerted on the proximal protrusion of the TASG and aortic wall reconstructed from a patient who underwent traumatic thoracic aortic injury repair. Mechanical properties of a Gore TAG thoracic endoprosthesis (W. L. Gore and Assoc, Flagstaff, Ariz) were assessed via experimen…

Aortic archMalemedicine.medical_specialtyAortographymedicine.medical_treatmentHemodynamicsAorta ThoracicFOS: Medical engineeringProsthesis DesignAortographyBlood Vessel Prosthesis ImplantationImaging Three-DimensionalBlood vessel prosthesismedicine.arteryMaterials TestingmedicineHumansComputer Simulationthoracic aortic stent graft (TASG)Aortamedicine.diagnostic_testbusiness.industryEndovascular ProceduresHemodynamicsModels CardiovascularStentSettore ING-IND/34 - Bioingegneria Industrialenutritional and metabolic diseases90399 Biomedical Engineering not elsewhere classifiedCurvatures of the stomachSurgeryBiomechanical PhenomenaBlood Vessel ProsthesisProsthesis FailureEquipment Failure AnalysisRegional Blood FlowRadiographic Image Interpretation Computer-AssistedStentslipids (amino acids peptides and proteins)SurgeryStress Mechanicalbiological phenomena cell phenomena and immunitybusinessNuclear medicineTomography X-Ray ComputedCardiology and Cardiovascular MedicinePerfusionAlgorithmsJournal of Vascular Surgery
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