Search results for "Toe"

showing 10 items of 3824 documents

Estrategias de aprendizaje, actitudes emprendedoras, autoconcepto, esperanza, satisfacción vital e inclinación al autoempleo: Un modelo explicativo e…

2015

Las iniciativas emprendedoras juegan un papel fundamental en el desarrollo y sostenimiento de las economías mundiales, la modalidad de autoempleo es de especial interés por considerarse una solución para enfrentar la crisis de empleo juvenil (OIT,2015); este estudio se desarrolla en el Perú país de gran actividad emprendedora y tiene como un primer objetivo ofrecer un diagnóstico sobre la intención de autoempleo, en 527 alumnos universitarios que estudian carreras profesionales relacionadas al ámbito de negocios, en dos universidades peruanas, una privada ubicada en el departamento de Lima y otra publica ubicada en el departamento de Huancavelica ; y como un segundo objetivo desarrollar y v…

Estrategias de aprendizajesatisfacción con la vidaautoconceptoesperanza disposicionalautoempleoactitudes emprendedoras:PSICOLOGÍA [UNESCO]UNESCO::PSICOLOGÍAEmprendimiento
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Efecto de un programa de intervención sobre el estrés percibido, autoestima y rendimiento en jóvenes pilotos de motociclismo de elite

2013

En la especialidad deportiva de motociclismo la literatura científica se ha centrado en aspectos tecnológicos, de seguridad, incluso patrones de lesiones, existiendo poca información sobre variables psicológicas de los deportistas. El objetivo de nuestro estudio fue evaluar si el efecto de una intervención en habilidades técnicas y condición física sobre la percepción de estrés, autoestima, la autovaloración, la valoración de otros, y finalmente la ejecución. La muestra estuvo compuesto por 27 pilotos jóvenes de élite, participantes del Red Bull Moto GP Rookies Cup, de los cuales 16 sujetos realizaron un programa de intervención (Grupo Experimental, GE), mientras que el resto fue el Grupo C…

EstrèsPerformancelcsh:BF1-990External evaluationAutoestimaAdolescentsStressMotocicilismelcsh:PsychologyAvaluació externaPrograma d'intervencióSelf-esteemRendimentIntervention programMotorcycling
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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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Limitation of carrier fringe methods in digital photoelasticity

2007

The carrier fringes method has been proposed in digital photoelasticity in combination with techniques such as Fourier transform and phase shifting method, without considering the influence of the isoclinics on the isochromatic patterns analysis. Unlike other optical methods as moire and holographic interferometry, in photoelasticity the light intensity emerging from a circular polariscope is related to both the isochromatic retardation and the isoclinic parameter. As it is shown by the theoretical analysis, owing to the misalignment between the principal stresses in the model and in the carrier, the computed retardation is affected by an error which is the same for all photoelastic methods…

Experimental mechanicsPhotoelasticityMaterials sciencebusiness.industryMechanical EngineeringMoiré patternHolographic interferometryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsLight intensitysymbols.namesakeOpticsFourier transformsymbolsElectrical and Electronic Engineeringbusiness
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Gain, detuning, and radiation patterns of nanoparticle optical antennas

2008

International audience; For their capability to localize and redirect electromagnetic field, metal nanoparticles have been recently viewed as efficient nanoantenna operating in the optical regime. In this article, we experimentally investigated the optical responses of coupled gold antenna pairs and measured the critical parameters defining antenna characteristics: resonant frequencies and bandwidths, detuning and gains, and radiation patterns.

FAR-FIELDElectromagnetic fieldPLASMONIC NANOPARTICLEPhysics::OpticsNanoparticle02 engineering and technologySILVER NANOPARTICLESRadiation01 natural sciencesNANOANTENNASOptics[ PHYS.COND.CM-MSQHE ] Physics [physics]/Condensed Matter [cond-mat]/Mesoscopic Systems and Quantum Hall Effect [cond-mat.mes-hall]0103 physical sciencesSCATTERING[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics010306 general physicsMetal nanoparticles[PHYS.COND.CM-MSQHE]Physics [physics]/Condensed Matter [cond-mat]/Mesoscopic Systems and Quantum Hall Effect [cond-mat.mes-hall]Physics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryRESONANCE021001 nanoscience & nanotechnologyCondensed Matter PhysicsDIMERSElectronic Optical and Magnetic MaterialsSINGLE[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicQuasiparticleOptoelectronics[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicAntenna (radio)EMISSION0210 nano-technologybusinessNEAR-FIELDPhysical Review B
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Personalidad y Autoestima: Un análisis sobre el importante papel de sus relaciones

2018

The five factor model has been established as one of the main approaches in the study of personality. After its emergence, one of the most important aspects to be analyzed has been its relationship with self-esteem, considering the central role that the latest has in the model. In spite of the large empirical support existing about this relationship, the need of a deeper understanding of its theoretical nature has been pointed out. The aim of our work joins the previous research, in analyzing the existence of relationships between personality factors and self-esteem. The sample was 576 university students, between 18- 35 years old. The present findings show that self-esteem is negatively as…

FFMAgreeablenessExtraversion and introversionmedia_common.quotation_subjectAutoestimaConscientiousnessNeuroticismEmpirical researchOpenness to experienceModelo de los Cinco FactoresPersonalityPersonalidadBig Five personality traitsPsychologySocial psychologymedia_commonTerapia psicológica
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Know your full potential: Quantitative Kelvin probe force microscopy on nanoscale electrical devices

2018

In this study we investigate the influence of the operation method in Kelvin probe force microscopy (KPFM) on the measured potential distribution. KPFM is widely used to map the nanoscale potential distribution in operating devices, e.g., in thin film transistors or on cross sections of functional solar cells. Quantitative surface potential measurements are crucial for understanding the operation principles of functional nanostructures in these electronic devices. Nevertheless, KPFM is prone to certain imaging artifacts, such as crosstalk from topography or stray electric fields. Here, we compare different amplitude modulation (AM) and frequency modulation (FM) KPFM methods on a reference s…

FM-KPFMMaterials scienceNanostructureGeneral Physics and Astronomy02 engineering and technologylcsh:Chemical technology01 natural sciencesAM-KPFMlcsh:TechnologyFull Research Paperlaw.inventioncrosstalkfield effect transistorlawElectric field0103 physical sciencesMicroscopySolar cellNanotechnologyfrequency modulation sidebandGeneral Materials Sciencelcsh:TP1-1185Electrical and Electronic Engineeringlcsh:Sciencequantitative Kelvin probe force microscopy010302 applied physicsKelvin probe force microscopecross sectionbusiness.industrylcsh:Tfrequency modulation heterodyne021001 nanoscience & nanotechnologyAM off resonanceAM lift modelcsh:QC1-999NanoscienceAM second eigenmodesolar cellsOptoelectronicsField-effect transistorlcsh:Q0210 nano-technologybusinessFrequency modulationlcsh:PhysicsVoltageBeilstein Journal of Nanotechnology
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Denoising Autoencoders for Fast Combinatorial Black Box Optimization

2015

Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties. We integrate a special type of AE, the Denoising Autoencoder (DAE), into an EDA and evaluate the performance of DAE-EDA on several combinatorial optimization problems with a single objective. We asses the number of fitness evaluations as well as the required CPU times. We compare the results to the performance to the Bayesian Optimization Algorithm (BOA) and RBM-EDA, another EDA which is based on a generative neural network which has proven competitive with BOA. For the considered pro…

FOS: Computer and information sciencesArtificial neural networkI.2.6business.industryFitness approximationComputer scienceNoise reductionI.2.8MathematicsofComputing_NUMERICALANALYSISComputer Science - Neural and Evolutionary ComputingMachine learningcomputer.software_genreAutoencoderOrders of magnitude (bit rate)Estimation of distribution algorithmBlack boxComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONNeural and Evolutionary Computing (cs.NE)Artificial intelligencebusinessI.2.6; I.2.8computerProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
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Deep Non-Line-of-Sight Reconstruction

2020

The recent years have seen a surge of interest in methods for imaging beyond the direct line of sight. The most prominent techniques rely on time-resolved optical impulse responses, obtained by illuminating a diffuse wall with an ultrashort light pulse and observing multi-bounce indirect reflections with an ultrafast time-resolved imager. Reconstruction of geometry from such data, however, is a complex non-linear inverse problem that comes with substantial computational demands. In this paper, we employ convolutional feed-forward networks for solving the reconstruction problem efficiently while maintaining good reconstruction quality. Specifically, we devise a tailored autoencoder architect…

FOS: Computer and information sciencesComputer Science - Machine Learningbusiness.industryComputer scienceComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionNonlinear optics020207 software engineering02 engineering and technologyIterative reconstructionInverse problemElectrical Engineering and Systems Science - Image and Video ProcessingAutoencoderRendering (computer graphics)Machine Learning (cs.LG)Non-line-of-sight propagation0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusiness
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Quantum autoencoders via quantum adders with genetic algorithms

2017

The quantum autoencoder is a recent paradigm in the field of quantum machine learning, which may enable an enhanced use of resources in quantum technologies. To this end, quantum neural networks with less nodes in the inner than in the outer layers were considered. Here, we propose a useful connection between quantum autoencoders and quantum adders, which approximately add two unknown quantum states supported in different quantum systems. Specifically, this link allows us to employ optimized approximate quantum adders, obtained with genetic algorithms, for the implementation of quantum autoencoders for a variety of initial states. Furthermore, we can also directly optimize the quantum autoe…

FOS: Computer and information sciencesComputer Science::Machine Learning0301 basic medicineComputer Science - Machine LearningAdderPhysics and Astronomy (miscellaneous)Quantum machine learningField (physics)Computer scienceMaterials Science (miscellaneous)Computer Science::Neural and Evolutionary ComputationFOS: Physical sciencesData_CODINGANDINFORMATIONTHEORYTopology01 natural sciencesMachine Learning (cs.LG)Statistics::Machine Learning03 medical and health sciencesQuantum state0103 physical sciencesNeural and Evolutionary Computing (cs.NE)Electrical and Electronic Engineering010306 general physicsQuantumQuantum PhysicsArtificial neural networkComputer Science - Neural and Evolutionary ComputingTheoryofComputation_GENERALAutoencoderAtomic and Molecular Physics and OpticsQuantum technology030104 developmental biologyComputerSystemsOrganization_MISCELLANEOUSQuantum Physics (quant-ph)
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