6,410 research outputs found

    Bioquímica dinámica del parénquima pulmonar

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    Temporal variability and composition of settling particle fluxes on the Barcelona continental margin (Northwestern Mediterranean)

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    The results of a year-long sediment-trap experiment provide the first direct observations of sediment fluxes to the seafloor on the Barcelona continental margin. Time-series of vertical particle fluxes and major constituents (organic carbon, biogenic silica, calcium carbonate and aluminosilicates) were determined inside and in the vicinity of the Foix submarine canyon from May 1993 to April 1994. The spatial and temporal variability of bi-weekly total mass fluxes indicate significant high frequency variability related to physical and biological processes at this site. The Foix submarine canyon acts as an actual conduit for transport of sediment from the shelf to the slope, and as a mid-slope sedimentary depocenter. The shelf-slope sediment transfer through this canyon is sporadic and takes place during and immediately after an important storm event or a river discharge increase. During periods of low cross-margin sediment transfer injected through the canyon, the vertical flux of particles is controlled by the along-slope geostrophic circulation. Breaking of the summer water stratification and vertical mixing also appears to be a major process which contributes to increasing the vertical flux of particles. Particle composition inside the Foix submarine canyon does not reflect any significant seasonal variations, but in the adjacent open slope, summer water stratification controls the composition of settling particulate matter. Retention of shelf-derived suspended particles along isopycnals in summer results in a decrease in total mass fluxes and an enrichment of organic carbon and clay mineral content in the settling particulate matter outside the canyon. During the spring biological bloom, the opal content increases particularly on the open slope, but the calcium carbonate does not because the high input of terrigeneous carbonate dominates that from biogenic carbonate production. The aluminosilicates fraction is the largest constituent of the vertical particle fluxes on the Barcelona continental margin, reaching higher percentages inside the Foix submarine canyon

    CuisineNet: Food Attributes Classification using Multi-scale Convolution Network

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    Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of people around the world and its flavor by classifying two main food attributes, cuisine and flavor. A deep learning model based on multi-scale convotuional networks is proposed for extracting more accurate features from input images. The aggregation of multi-scale convolution layers with different kernel size is also used for weighting the features results from different scales. In addition, a joint loss function based on Negative Log Likelihood (NLL) is used to fit the model probability to multi labeled classes for multi-modal classification task. Furthermore, this work provides a new dataset for food attributes, so-called Yummly48K, extracted from the popular food website, Yummly. Our model is assessed on the constructed Yummly48K dataset. The experimental results show that our proposed method yields 65% and 62% average F1 score on validation and test set which outperforming the state-of-the-art models.Comment: 8 pages, Submitted in CCIA 201

    MD4 IMPACT OF THE MEDICARE MODERNIZATION ACT OF 2003 ON PART B DRUG USE AND SPENDING: A CASE STUDY OF BIOLOGICALS FOR RHEUMATOID ARTHRITIS

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    Can we always get the entanglement entropy from the Kadanoff-Baym equations? The case of the T-matrix approximation

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    We study the time-dependent transmission of entanglement entropy through an out-of-equilibrium model interacting device in a quantum transport set-up. The dynamics is performed via the Kadanoff-Baym equations within many-body perturbation theory. The double occupancy <n^Rn^R>< \hat{n}_{R \uparrow} \hat{n}_{R \downarrow} >, needed to determine the entanglement entropy, is obtained from the equations of motion of the single-particle Green's function. A remarkable result of our calculations is that <n^Rn^R>< \hat{n}_{R \uparrow} \hat{n}_{R \downarrow} > can become negative, thus not permitting to evaluate the entanglement entropy. This is a shortcoming of approximate, and yet conserving, many-body self-energies. Among the tested perturbation schemes, the TT-matrix approximation stands out for two reasons: it compares well to exact results in the low density regime and it always provides a non-negative <n^Rn^R>< \hat{n}_{R \uparrow} \hat{n}_{R \downarrow} >. For the second part of this statement, we give an analytical proof. Finally, the transmission of entanglement across the device is diminished by interactions but can be amplified by a current flowing through the system.Comment: 6 pages, 6 figure

    Exploración de la representación de funciones de dos variables mediante la modelización de la intensidad de sonido utilizando ipads

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    En este póster describimos una experiencia de modelización llevada a cabo con alumnos de 4º de ESO junto con un análisis preliminar de las actuaciones de estos alumnos. La resolución de tareas de modelización promueve la matematización de situaciones, al tiempo que lleva a los estudiantes a interpretar, reflexionar y validar los resultados matemáticos en la realidad, procesos que son esenciales en la resolución de problemas orientados a la alfabetización matemática (Blum et al., 2002, p. 151)

    Vierzig Jahre Sechstagekrieg : Strukturelle Prägekraft für den Nahen Osten

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    Circulation patterns and sediment dynamics were studied over the Gulf of Valencia (GoV) continental slope during spring and winter 2011–2012. Two moorings were deployed at two locations; at 450 m depth from February to May 2011, and at 572 m depth from October 2011 to February 2012. At both mooring sites, observations were made of currents, temperature and near-bottom turbidity within the lowermost 80 m above the seafloor. The temperature measurements allowed distinction of the different water masses and their temporal evolution. The fluctuations of the boundary between the Western Mediterranean Deep Water (WMDW) and the Levantine Intermediate Water (LIW) masses were monitored, and several intrusions of Western Mediterranean Intermediate Water (WIW) were observed, generally coinciding with changes in current direction. At both mooring sites, the currents generally maintained low velocities <10 cm s-1, with several pulses of magnitude increases >20 cm s-1, and few reaching up to 35 cm s-1, associated with mesoscale eddies and topographic waves. The current direction was mainly towards the SSE on the first deployment and to the ESE on the second deployment. This second location was affected by a strong bottom offshore veering presumably generated by local topographic effects. Increases in suspended sediment concentrations (SSC) were observed repeatedly throughout the records, reaching values >3 mg l-1. However, these SSC variations were uncorrelated with changes in velocity magnitude and direction and/or with temperature oscillations. Results presented in this paper highlight the complex relation between the hydrodynamics and sediment transport over the GoV continental slope, and suggest that other potential sediment resuspension mechanism not linked with current fluctuations, might play a key role in the present-day sedimentary dynamics. Resuspension due to bottom trawling appears to be the most plausible mechanis

    Kadanoff-Baym approach to time-dependent quantum transport in AC and DC fields

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    We have developed a method based on the embedded Kadanoff-Baym equations to study the time evolution of open and inhomogeneous systems. The equation of motion for the Green's function on the Keldysh contour is solved using different conserving many-body approximations for the self-energy. Our formulation incorporates basic conservation laws, such as particle conservation, and includes both initial correlations and initial embedding effects, without restrictions on the time-dependence of the external driving field. We present results for the time-dependent density, current and dipole moment for a correlated tight binding chain connected to one-dimensional non-interacting leads exposed to DC and AC biases of various forms. We find that the self-consistent 2B and GW approximations are in extremely good agreement with each other at all times, for the long-range interactions that we consider. In the DC case we show that the oscillations in the transients can be understood from interchain and lead-chain transitions in the system and find that the dominant frequency corresponds to the HOMO-LUMO transition of the central wire. For AC biases with odd inversion symmetry odd harmonics to high harmonic order in the driving frequency are observed in the dipole moment, whereas for asymmetric applied bias also even harmonics have considerable intensity. In both cases we find that the HOMO-LUMO transition strongly mixes with the harmonics leading to harmonic peaks with enhanced intensity at the HOMO-LUMO transition energy.Comment: 16 pages, 9 figures. Submitted at "Progress in Nonequilibrium Green's Functions IV" conferenc

    PUK34 EVALUATION OF TWO TENSION FREE VAGINAL TAPES WITH URODYNAMICS AND ICIQ-UI SF QUESTIONNAIRE

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    Augmented state Kalman filtering for AUV navigation

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    This paper addresses the problem of estimating the motion of an Autonomous Underwater Vehicle (AUV), while it constructs a visual map (“mosaic ” image) of the ocean floor. The vehicle is equipped with a down-looking camera which is used to compute its motion with respect to the seafloor. As the mosaic increases in size, a systematic bias is introduced in the alignment of the images which form the mosaic. Therefore, this accumulative error produces a drift in the estimation of the position of the vehicle. When the arbitrary trajectory of the AUV crosses over itself, it is possible to reduce this propagation of image alignment errors within the mosaic. A Kalman filter with augmented state is proposed to optimally estimate both the visual map and the vehicle position.
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