861 research outputs found

    Modelling the evaporation of nanoparticle suspensions from heterogeneous surfaces

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    We present a Monte Carlo (MC) grid-based model for the drying of drops of a nanoparticle suspension upon a heterogeneous surface. The model consists of a generalised lattice-gas in which the interaction parameters in the Hamiltonian can be varied to model different properties of the materials involved. We show how to choose correctly the interactions, to minimise the effects of the underlying grid so that hemispherical droplets form. We also include the effects of surface roughness to examine the effects of contact-line pinning on the dynamics. When there is a `lid' above the system, which prevents evaporation, equilibrium drops form on the surface, which we use to determine the contact angle and how it varies as the parameters of the model are changed. This enables us to relate the interaction parameters to the materials used in applications. The model has also been applied to drying on heterogeneous surfaces, in particular to the case where the suspension is deposited on a surface consisting of a pair of hydrophilic conducting metal surfaces that are either side of a band of hydrophobic insulating polymer. This situation occurs when using inkjet printing to manufacture electrical connections between the metallic parts of the surface. The process is not always without problems, since the liquid can dewet from the hydrophobic part of the surface, breaking the bridge before the drying process is complete. The MC model reproduces the observed dewetting, allowing the parameters to be varied so that the conditions for the best connection can be established. We show that if the hydrophobic portion of the surface is located at a step below the height of the neighbouring metal, the chance of dewetting of the liquid during the drying process is significantly reduced.Comment: 14 pages, 14 figure

    Nonequilibrium dynamics of fully frustrated Ising models at T=0

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    We consider two fully frustrated Ising models: the antiferromagnetic triangular model in a field of strength, h=HTkBh=H T k_B, as well as the Villain model on the square lattice. After a quench from a disordered initial state to T=0 we study the nonequilibrium dynamics of both models by Monte Carlo simulations. In a finite system of linear size, LL, we define and measure sample dependent "first passage time", trt_r, which is the number of Monte Carlo steps until the energy is relaxed to the ground-state value. The distribution of trt_r, in particular its mean value, , is shown to obey the scaling relation, L2ln(L/L0) \sim L^2 \ln(L/L_0), for both models. Scaling of the autocorrelation function of the antiferromagnetic triangular model is shown to involve logarithmic corrections, both at H=0 and at the field-induced Kosterlitz-Thouless transition, however the autocorrelation exponent is found to be HH dependent.Comment: 7 pages, 8 figure

    Random and ordered phases of off-lattice rhombus tiles

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    We study the covering of the plane by non-overlapping rhombus tiles, a problem well-studied only in the limiting case of dimer coverings of regular lattices. We go beyond this limit by allowing tiles to take any position and orientation on the plane, to be of irregular shape, and to possess different types of attractive interactions. Using extensive numerical simulations we show that at large tile densities there is a phase transition from a fluid of rhombus tiles to a solid packing with broken rotational symmetry. We observe self-assembly of broken-symmetry phases, even at low densities, in the presence of attractive tile-tile interactions. Depending on tile shape and interactions the solid phase can be random, possessing critical orientational fluctuations, or crystalline. Our results suggest strategies for controlling tiling order in experiments involving `molecular rhombi'.Comment: Supp. Info. and version with high-res figures at http://nanotheory.lbl.gov/people/rhombus_paper/rhombus.htm

    Collective Charge Fluctuations in Single-Electron Processes on Nano-Networks

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    Using numerical modeling we study emergence of structure and structure-related nonlinear conduction properties in the self-assembled nanoparticle films. Particularly, we show how different nanoparticle networks emerge within assembly processes with molecular bio-recognition binding. We then simulate the charge transport under voltage bias via single-electron tunnelings through the junctions between nanoparticles on such type of networks. We show how the regular nanoparticle array and topologically inhomogeneous nanonetworks affect the charge transport. We find long-range correlations in the time series of charge fluctuation at individual nanoparticles and of flow along the junctions within the network. These correlations explain the occurrence of a large nonlinearity in the simulated and experimentally measured current-voltage characteristics and non-Gaussian fluctuations of the current at the electrode.Comment: 10 pages, 7 figure

    A third of patients treated at a tertiary-level surgical service could be treated at a secondary-level facility

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    Background. South Africa (SA) has an overburdened public healthcare system. Some patients admitted to Charlotte Maxeke Johannesburg Academic Hospital (CMJAH), SA, may not require tertiary care, but the numbers and details are uncertain. Clinical research in SA is limited by scarce skills and limited access to data.Objective. To determine the proportion of and length of stay for secondary-, tertiary- and quaternary-level patients discharged from the Department of Surgery at CMJAH over 1 year.Methods. This is a retrospective analysis of electronic discharge (ED) summaries from the Department of Surgery at CMJAH between 1 April 2015 and 1 April 2016. An SQL query of the database generated a .csv file of all discharges with the following fields: database reference number, length of stay and level of care. The details of each record were verified by MBBCh V students, using a defined level-ofcare template and the full discharge summary. The data were reviewed by a senior clinician.Results. There were 3 007 discharge summaries – 97 were not classifiable, two were test records and one was a duplicate. These 100 records were excluded. There were no primary-level records. Secondary-level patients represented 29% (854) of those discharged and 19% of total bed days. Tertiary- and quaternary-level patients together represented 71% of the total and 81% of bed days. The average length of stay was 4.31 days for secondary, 6.98 days for tertiary and 9.77 days for quaternary level-of-care allocation.Conclusion. Almost one-third (29%) of patients discharged from CMJAH’s Department of Surgery were deemed suitable for secondarylevel care. These patients had a shorter length of stay and comprised 19% of total bed days. Students and electronic databases represent an important research resource

    ciliaFA : a research tool for automated, high-throughput measurement of ciliary beat frequency using freely available software

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    Background: Analysis of ciliary function for assessment of patients suspected of primary ciliary dyskinesia (PCD) and for research studies of respiratory and ependymal cilia requires assessment of both ciliary beat pattern and beat frequency. While direct measurement of beat frequency from high-speed video recordings is the most accurate and reproducible technique it is extremely time consuming. The aim of this study was to develop a freely available automated method of ciliary beat frequency analysis from digital video (AVI) files that runs on open-source software (ImageJ) coupled to Microsoft Excel, and to validate this by comparison to the direct measuring high-speed video recordings of respiratory and ependymal cilia. These models allowed comparison to cilia beating between 3 and 52 Hz. Methods: Digital video files of motile ciliated ependymal (frequency range 34 to 52 Hz) and respiratory epithelial cells (frequency 3 to 18 Hz) were captured using a high-speed digital video recorder. To cover the range above between 18 and 37 Hz the frequency of ependymal cilia were slowed by the addition of the pneumococcal toxin pneumolysin. Measurements made directly by timing a given number of individual ciliary beat cycles were compared with those obtained using the automated ciliaFA system. Results: The overall mean difference (± SD) between the ciliaFA and direct measurement high-speed digital imaging methods was −0.05 ± 1.25 Hz, the correlation coefficient was shown to be 0.991 and the Bland-Altman limits of agreement were from −1.99 to 1.49 Hz for respiratory and from −2.55 to 3.25 Hz for ependymal cilia. Conclusions: A plugin for ImageJ was developed that extracts pixel intensities and performs fast Fourier transformation (FFT) using Microsoft Excel. The ciliaFA software allowed automated, high throughput measurement of respiratory and ependymal ciliary beat frequency (range 3 to 52 Hz) and avoids operator error due to selection bias. We have included free access to the ciliaFA plugin and installation instructions in Additional file 1 accompanying this manuscript that other researchers may use

    Broken symmetry and the variation of critical properties in the phase behaviour of supramolecular rhombus tilings

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    The degree of randomness, or partial order, present in two-dimensional supramolecular arrays of isophthalate tetracarboxylic acids is shown to vary due to subtle chemical changes such as the choice of solvent or small differences in molecular dimensions. This variation may be quantified using an order parameter and reveals a novel phase behaviour including random tiling with varying critical properties as well as ordered phases dominated by either parallel or non-parallel alignment of neighbouring molecules, consistent with long-standing theoretical studies. The balance between order and randomness is driven by small differences in the intermolecular interaction energies, which we show, using numerical simulations, can be related to the measured order parameter. Significant variations occur even when the energy difference is much less than the thermal energy highlighting the delicate balance between entropic and energetic effects in complex self-assembly processes
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