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1.
Phys Rev Lett ; 130(22): 226401, 2023 Jun 02.
Artículo en Inglés | MEDLINE | ID: mdl-37327408

RESUMEN

Using angle-resolved photoemission spectroscopy, combined with first principle and coupled self-consistent Poisson-Schrödinger calculations, we demonstrate that potassium (K) atoms adsorbed on the low-temperature phase of 1T-TiSe_{2} induce the creation of a two-dimensional electron gas (2DEG) and quantum confinement of its charge-density wave (CDW) at the surface. By further changing the K coverage, we tune the carrier density within the 2DEG that allows us to nullify, at the surface, the electronic energy gain due to exciton condensation in the CDW phase while preserving a long-range structural order. Our Letter constitutes a prime example of a controlled exciton-related many-body quantum state in reduced dimensionality by alkali-metal dosing.


Asunto(s)
Frío , Electrones , Espectroscopía de Fotoelectrones
2.
Eur J Appl Physiol ; 111(8): 1917-27, 2011 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-21249388

RESUMEN

The aim of this study was to develop a classification procedure for accelerometer data to recognize the mode of children's physical activity (PA) in free-living conditions and to compare it with an established cutoff method. Hip and wrist accelerometer data with an epoch interval of 1 s were collected for 7 days from 24 girls (age: 10.7 ± 1.7 years) and 17 boys (age: 10.6 ± 1.6 years). Videos were recorded during the same 7 days at several points of time at school and during leisure time. Each second of video data was labeled as one of nine activity classes. A classification procedure based on pattern recognition algorithms was trained with the accelerometer data relating to respective video labels of half of the children and tested against the data from the other half of the children. The overall recognition rate of the classification procedure was 67%. The procedure was able to classify 90% of stationary activities, 83% of walking, 81% of running and 61% of jumping activities. The remaining activities could not be recognized by the main classifier. This study developed a classification procedure based on well-accepted accelerometers and video recordings to recognize children's PA in free-living conditions. It has been shown to be valid for the activities of being stationary, walking, running and jumping. In contrast to former measurement and analysis procedures, this method is able to determine the modes of specific activities among children. Consequently, the presented classification procedure provides additional information on the PA behavior in children registered by established accelerometers.


Asunto(s)
Actividades Cotidianas , Cinetocardiografía/instrumentación , Actividad Motora/fisiología , Reconocimiento de Normas Patrones Automatizadas , Actigrafía/instrumentación , Actigrafía/métodos , Actigrafía/normas , Niño , Femenino , Humanos , Cinetocardiografía/métodos , Cinetocardiografía/normas , Masculino , Modelos Biológicos , Reconocimiento de Normas Patrones Automatizadas/métodos , Distribución Aleatoria , Valores de Referencia , Reproducibilidad de los Resultados , Grabación en Video/métodos , Muñeca
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