58,405 research outputs found

    Enhanced voltage generation through electrolyte flow on liquid-filled surfaces.

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    The generation of electrical voltage through the flow of an electrolyte over a charged surface may be used for energy transduction. Here, we show that enhanced electrical potential differences (i.e., streaming potential) may be obtained through the flow of salt water on liquid-filled surfaces that are infiltrated with a lower dielectric constant liquid, such as oil, to harness electrolyte slip and associated surface charge. A record-high figure of merit, in terms of the voltage generated per unit applied pressure, of 0.043 mV Pa-1 is obtained through the use of the liquid-filled surfaces. In comparison with air-filled surfaces, the figure of merit associated with the liquid-filled surface increases by a factor of 1.4. These results lay the basis for innovative surface charge engineering methodology for the study of electrokinetic phenomena at the microscale, with possible application in new electrical power sources

    Monte Carlo Planning method estimates planning horizons during interactive social exchange

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    Reciprocating interactions represent a central feature of all human exchanges. They have been the target of various recent experiments, with healthy participants and psychiatric populations engaging as dyads in multi-round exchanges such as a repeated trust task. Behaviour in such exchanges involves complexities related to each agent's preference for equity with their partner, beliefs about the partner's appetite for equity, beliefs about the partner's model of their partner, and so on. Agents may also plan different numbers of steps into the future. Providing a computationally precise account of the behaviour is an essential step towards understanding what underlies choices. A natural framework for this is that of an interactive partially observable Markov decision process (IPOMDP). However, the various complexities make IPOMDPs inordinately computationally challenging. Here, we show how to approximate the solution for the multi-round trust task using a variant of the Monte-Carlo tree search algorithm. We demonstrate that the algorithm is efficient and effective, and therefore can be used to invert observations of behavioural choices. We use generated behaviour to elucidate the richness and sophistication of interactive inference

    A community based cross sectional study on feasibility of lay interviewers in ascertaining causes of adult deaths by using verbal autopsy in rural Wardha

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    Background & objectives: 1) To study the causes of adult (15 years and above) deaths using verbal autopsy (VA) and its socio-demographic characteristics. 2) To study the feasibility of use of the lay interviewer to ascertain causes of adult death using verbal autopsy and a simple algorithm. Methods: The present study was done in Wardha district, Maharashtra, India. Taking into account feasibility, out of 23 villages of Primary Health Centre, Anji, 15 villages were chosen having total population of 14,590. Out of 273 estimated adult deaths during the study period, 209 (77%) could be traced by house to house visit and a lay interviewer, interviewed the close caretakers of the deceased. Both lay interviewer and a physician individually derived their diagnosis using verbal autopsy report and a simplified algorithm. The data was entered and analyzed by using Epi_info 6.04. The inter-observer reliability between the lay interviewer and a physician for each possible diagnosis was assessed by using the Kappa statistics. Considering the diagnosis made by a physician as a gold standard, the diagnostic and predictive accuracy for each diagnosis made by the lay interviewer was calculated. Results: The communicable diseases accounted for 52 percent of the adult deaths while non-communicable for 32 percent and injuries for nine percent deaths. The overall agreement between the lay interviewer and a physician for communicable diseases was found to be good (k = 0.65 + 0.06) and for non-communicable diseases it was found to be excellent (k = 0.80 + 0.06). The lay interviewer using VA performed adequately for individual conditions of public health importance like acute febrile illness, diarrheal diseases, tuberculosis and injuries. Interpretation & conclusions: The present study has been successful to demonstrate feasibility of use of the lay interviewer to provide useful information on population-level estimation of broad causes of adult deaths and its socio-demographic characteristics that are reasonably reliable. The study suggests the possible utility of the method for rural India, where the majority of deaths occur at home. Further research work on development of sensitive and specific yet simple algorithms for lay interviewers to ascertain causes of adult deaths is required

    Validation of the frequency modulation technique applied to the pulsating Sct- Dor eclipsing binary star KIC 8569819

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    KIC 8569819 is an eclipsing binary star with an early F primary and G secondary in a 20.85-d eccentric orbit. The primary is a δ Sct–γ Dor star pulsating in both p modes and g modes. Using four years of Kepler Mission photometric data, we independently model the light curve using the traditional technique with the modelling code PHOEBE, and we study the orbital characteristics using the new frequency modulation technique. We show that both methods provide the equivalent orbital period, eccentricity and argument of periastron, thus illustrating and validating the FM technique. In the amplitude spectrum of the p-mode pulsations, we also discovered an FM signal compatible with a third body in the system, a low-mass M dwarf in an 861-d orbit around the primary pair. However, the eclipses show no timing variations, indicating that the FM signal is a consequence of the intrinsic change in pulsation frequency, thus providing a cautionary tale. Our analysis shows the potential of the FM technique using Kepler data, and we discuss the prospects to detect planets and brown dwarfs in Kepler data for A and F stars even in the absence of transits and with no spectroscopic radial velocity curves. This opens the possibility of finding planets orbiting hotter stars that cannot be found by traditional techniques

    TauFactor: An open-source application for calculating tortuosity factors from tomographic data

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    TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in diffusive transport resulting from convolutions of the flow paths through porous media. TauFactor was originally developed to improve the understanding of electrode microstructures for batteries and fuel cells; however, the tortuosity factor has been of interest to a wide range of disciplines for over a century, including geoscience, biology and optics. It is still common practice to use correlations, such as that developed by Bruggeman, to approximate the tortuosity factor, but in recent years the increasing availability of 3D imaging techniques has spurred interest in calculating this quantity more directly. This tool provides a fast and accurate computational platform applicable to the big datasets (>10^8 voxels) typical of modern tomography, without requiring high computational power

    Yeast cytochrome c oxidase: a model system to study mitochondrial forms of the haem-copper oxidase superfamily.

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    The known subunits of yeast mitochondrial cytochrome c oxidase are reviewed. The structures of all eleven of its subunits are explored by building homology models based on the published structures of the homologous bovine subunits and similarities and differences are highlighted, particularly of the core functional subunit I. Yeast genetic techniques to enable introduction of mutations into the three core mitochondrially-encoded subunits are reviewed
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