70 research outputs found

    Droplet Shape Analysis and Permeability Studies in Droplet Lipid Bilayers

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    We apply optical manipulation to prepare lipid bilayers between pairs of water droplets immersed in an oil matrix. These droplet pairs have a well-defined geometry allowing the use of droplet shape analysis to perform quantitative studies of the dynamics during bilayer formation and to determine time-dependent values for the droplet volumes, bilayer radius, bilayer contact angle, and droplet center-line approach velocity. During bilayer formation, the contact angle rises steadily to an equilibrium value determined by the bilayer adhesion energy. When there is a salt concentration imbalance between droplets, there is a measurable change in the droplet volume. We present an analytical expression for this volume change and use this expression to calculate the bilayer permeability to water

    Annual TECs from 1999–2013.

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    <p>Black points denote the stations that are used to estimate the GIM.</p

    Periodic spectrum of SSN set B.

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    <p>(a) is the time series of SSN. (b) is the power spectrum with Morlet wavelet. (c) is the power with the confidence of 95%.</p

    Time series of TECs in the global and local regions.

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    <p>(a) is the time series of global TEC. (b) is TEC time series on the northern region over 45°N. (c) is TEC time series over the local region between 45°N and the equator. (d) is TEC time series over the local region between the equator and 50°S. (e) is TEC time series over the southern region over 50°S.</p

    Cross wavelet power and the wavelet coherence spectrum of SSN and TEC from MJD 51179 to 56403.

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    <p>in which the right arrow represents the same phase, the down arrow represents the phase leading 90 degrees, the left arrow represents the anti-phase, and the up arrow represents the phase leading 270 degrees. (a) is the cross wavelet power spectrum. (b) is the wavelet coherence spectrum.</p

    Periodic spectrum of SSN set A.

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    <p>(a) is the time series of SSN. (b) is the power spectrum with Morlet wavelet. (c) is the power with the confidence of 95%.</p
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