3,119 research outputs found

    Single-atom control of the optoelectronic response in sub-nanometric cavities

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    By means of ab-initio time dependent density functional theory calculations carried out on an prototypical hybrid plasmonic device (two metallic nanoparticles bridged by a one-atom junction), we demonstrate the strong interplay between photoinduced excitation of localized surface plasmons and electron transport through the single atom. Such an interplay is remarkably sensitive to the atomic orbitals of the junction. Therefore, we show the possibility of a twofold tuning (plasmonic response and photoinduced current across the juntion) just by changing a single atom in the device.Comment: 5 pages, 5 figure

    A chiral route to spontaneous entanglement generation

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    We study the generation of spontaneous entanglement between two qubits chirally coupled to a waveguide. The maximum achievable concurrence is demonstrated to increase by a factor of 4/e1.54/e \sim 1.5 as compared to the non-chiral coupling situation. The proposed entanglement scheme is shown to be robust against variation of the qubit properties such as detuning and separation, which are critical in the non-chiral case. This result relaxes the restrictive requirements of the non-chiral situation, paving the way towards a realistic implementation. Our results demonstrate the potential of chiral waveguides for quantum entanglement protocols.Comment: 5 pages + 1 page supplemental, 4 figure

    Síntesis de proteína microbiana y digestibilidad en rumiantes alimentados con leguminosas (pisum sativum) y cereales (sorghum bicolor l moench y zea maiz) procesados

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    Los sistemas modernos de formulación de raciones para el ganado vacuno se basan en los conceptos de proteína digestible y el aporte de aa al intestino delgado del rumiante. De la calidad total de proteína sintetizada en el rumen y que llega al intestino delgado del rumiante, una proporción importante, aunque variable, corresponde a la proteína microbiana, la cual proviene, fundamentalmente, de las bacterias. Aunque la mayor parte de las bacterias están unidas a la parte solida B(AS), en la mayoría de los estudios realizados se utilizan muestras de bacterias obtenidas de la fracción líquida del contenido ruminal (BAL). Existe información en la literatura que indica la diferencia en la composición quimica entre BAL y BAS, las cuales pueden estar relacionadas con importantes errores en la predicción del flujo de proteína y aa de origen microbiano. Otro factor importante que se debe tomar en cuenta se relaciona con la dieta (forraje:concentrado, nivel de fibra, tamaño de partícula, consumo de alimento…etc.) ya que pueden afectar la fermentación y el metabolismo proteico y con ello disminuir el aporte parcial de BAL y BAS y con ello el flujo de proteína o aa de origen microbiano. De igual forma, el flujo de BAL y BAS se ve alterada por los cambios producidos a nivel ruminal debido a variaciones en la dieta o en el tiempo de alimentación (pH, tasa de dilución). El estudio de los problemas antes mencionados in vivo es complicado, ya que la fermentación puede confundir la interpretación de los resultados. Existen diversos sistemas in vitro que nos ofrecen la oportunidad de estudiar cada uno de los factores de forma aislada. El objetivo del presente estudio, fue evaluar los diferentes métodos de digestibilidad y condiciones de fermentación, así como, el flujo de nutrientes y el perfil y flujo de aa de origen microbiano utilizando la excreción de derivados púricos (DP)

    Experience in a public hospital with the use of cortical bone grafts of olecranon for the treatment of bone gaps in the hand

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    Background: Bone grafting has been a popular approach for the reconstruction of hand bone abnormalities caused by trauma or tumor removal. Cortical bone grafts have mostly osteoinductive capabilities. Olecranon grafts are reported to be safe because of their low donor morbidity and appropriate quick mechanical stability.Methods: This was a longitudinal descriptive study where 23 patients with hand fractures who were reconstructed with olecranon bone graft were evaluated. We included patients who were admitted to surgery at the “General Dr. Rubén Lenero” Hospital between January 2019 and November 2021. After surgery, a control radiograph of the graft insertion location and the donor area was taken postoperatively.Results: A post-surgery control elbow X-ray did not show any fracture data in all patients. The olecranon graft widths of the 23 patients ranged from 5 mm to 12 mm, with an average width of 7.9 mm. The lengths of the olecranon grafts ranged from 5 mm to 47 mm, with an average length of 19.62 mm.Conclusions: In this study, we found that cortical olecranon grafts have been a safe and viable reconstructive choice for our center for bone gap reconstruction in hand

    On Managing Knowledge for MAPE-K Loops in Self-Adaptive Robotics Using a Graph-Based Runtime Model

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    Service robotics involves the design of robots that work in a dynamic and very open environment, usually shared with people. In this scenario, it is very difficult for decision-making processes to be completely closed at design time, and it is necessary to define a certain variability that will be closed at runtime. MAPE-K (Monitor–Analyze–Plan–Execute over a shared Knowledge) loops are a very popular scheme to address this real-time self-adaptation. As stated in their own definition, they include monitoring, analysis, planning, and execution modules, which interact through a knowledge model. As the problems to be solved by the robot can be very complex, it may be necessary for several MAPE loops to coexist simultaneously in the robotic software architecture endowed in the robot. The loops will then need to be coordinated, for which they can use the knowledge model, a representation that will include information about the environment and the robot, but also about the actions being executed. This paper describes the use of a graph-based representation, the Deep State Representation (DSR), as the knowledge component of the MAPE-K scheme applied in robotics. The DSR manages perceptions and actions, and allows for inter- and intra-coordination of MAPE-K loops. The graph is updated at runtime, representing symbolic and geometric information. The scheme has been successfully applied in a retail intralogistics scenario, where a pallet truck robot has to manage roll containers for satisfying requests from human pickers working in the warehousePartial funding for open access charge: Universidad de Málaga. This work has been partially developed within SA3IR (an experiment funded by EU H2020 ESMERA Project under Grant Agreement 780265), the project RTI2018-099522-B-C4X, funded by the Gobierno de España and FEDER funds, and the B1-2021_26 project, funded by the University of Málaga
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