2,614 research outputs found

    Hayes-Steele Family History - Accession 1515

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    The Hayes-Steele Genealogical Collection consists of genealogical records and research pertaining to the Hayes and Steele family authored by former Rock Hill and Lancaster, SC resident Claude R. Smith (ca1924-2015). There is also information related to following allied families: Anderson; Baker; Barron; Barry; Bigger; Boyd; Brandon; Brewer; Carothers; Drennan; Eakle; Edwards; Fee; Gladden; Henderson; Matthews; McCleland; McCreight; McFadden; Miller; Shillinglaw; Simril; Thomasson; Wherry; White; Williams;. The family records consists of genealogy lists and charts, maps, photographs, property and house plans, death announcements, newspapers articles, marriage licenses, and family anecdotes.https://digitalcommons.winthrop.edu/manuscriptcollection_findingaids/2329/thumbnail.jp

    Anisotropic Diffusion Limited Aggregation

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    Using stochastic conformal mappings we study the effects of anisotropic perturbations on diffusion limited aggregation (DLA) in two dimensions. The harmonic measure of the growth probability for DLA can be conformally mapped onto a constant measure on a unit circle. Here we map mm preferred directions for growth of angular width σ\sigma to a distribution on the unit circle which is a periodic function with mm peaks in [−π,π)[-\pi, \pi) such that the width σ\sigma of each peak scales as σ∼1/k\sigma \sim 1/\sqrt{k}, where kk defines the ``strength'' of anisotropy along any of the mm chosen directions. The two parameters (m,k)(m,k) map out a parameter space of perturbations that allows a continuous transition from DLA (for m=0m=0 or k=0k=0) to mm needle-like fingers as k→∞k \to \infty. We show that at fixed mm the effective fractal dimension of the clusters D(m,k)D(m,k) obtained from mass-radius scaling decreases with increasing kk from DDLA≃1.71D_{DLA} \simeq 1.71 to a value bounded from below by Dmin=3/2D_{min} = 3/2. Scaling arguments suggest a specific form for the dependence of the fractal dimension D(m,k)D(m,k) on kk for large kk, form which compares favorably with numerical results.Comment: 6 pages, 4 figures, submitted to Phys. Rev.

    Glandularia canadensis (L.) Nutt.

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    https://thekeep.eiu.edu/herbarium_specimens_byname/18977/thumbnail.jp

    Smoluchowski's equation for cluster exogenous growth

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    We introduce an extended Smoluchowski equation describing coagulation processes for which clusters of mass s grow between collisions with ds/dt=Asβds/dt=As^\beta. A physical example, dropwise condensation is provided, and its collision kernel K is derived. In the general case, the gelation criterion is determined. Exact solutions are found and scaling solutions are investigated. Finally we show how these results apply to nucleation of discs on a planeComment: Revtex, 4 pages (multicol.sty), 1 eps figures (uses epsfig

    Measurement of dynamic Stark polarizabilities by analyzing spectral lineshapes of forbidden transitions

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    We present a measurement of the dynamic scalar and tensor polarizabilities of the excited state 3D1 in atomic ytterbium. The polarizabilities were measured by analyzing the spectral lineshape of the 408-nm 1S0->3D1 transition driven by a standing wave of resonant light in the presence of static electric and magnetic fields. Due to the interaction of atoms with the standing wave, the lineshape has a characteristic polarizability-dependent distortion. A theoretical model was used to simulate the lineshape and determine a combination of the polarizabilities of the ground and excited states by fitting the model to experimental data. This combination was measured with a 13% uncertainty, only 3% of which is due to uncertainty in the simulation and fitting procedure. The scalar and tensor polarizabilities of the state 3D1 were measured for the first time by comparing two different combinations of polarizabilities. We show that this technique can be applied to similar atomic systems.Comment: 13 pages, 7 figures, submitted to PR

    Inviscid limit of the active interface equations

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    We present a detailed solution of the active interface equations in the inviscid limit. The active interface equations were previously introduced as a toy model of membrane-protein systems: they describe a stochastic interface where growth is stimulated by inclusions which themselves move on the interface. In the inviscid limit, the equations reduce to a pair of coupled conservation laws. After discussing how the inviscid limit is obtained, we turn to the corresponding Riemann problem: the solution of the set of conservation laws with discontinuous initial condition. In particular, by considering two physically meaningful initial conditions, a giant trough and a giant peak in the interface, we elucidate the generation of shock waves and rarefaction fans in the system. Then, by combining several Riemann problems, we construct an oscillating solution of the active interface with periodic boundaries conditions. The existence of this oscillating state reflects the reciprocal coupling between the two conserved quantities in our system.Comment: 22 pages, 11 figure

    Fluctuations in network dynamics

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    Most complex networks serve as conduits for various dynamical processes, ranging from mass transfer by chemical reactions in the cell to packet transfer on the Internet. We collected data on the time dependent activity of five natural and technological networks, finding that for each the coupling of the flux fluctuations with the total flux on individual nodes obeys a unique scaling law. We show that the observed scaling can explain the competition between the system's internal collective dynamics and changes in the external environment, allowing us to predict the relevant scaling exponents.Comment: 4 pages, 4 figures. Published versio

    Universal Behavior of the Coefficients of the Continuous Equation in Competitive Growth Models

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    The competitive growth models involving only one kind of particles (CGM), are a mixture of two processes one with probability pp and the other with probability 1−p1-p. The p−p-dependance produce crossovers between two different regimes. We demonstrate that the coefficients of the continuous equation, describing their universality classes, are quadratic in pp (or 1−p1-p). We show that the origin of such dependance is the existence of two different average time rates. Thus, the quadratic p−p-dependance is an universal behavior of all the CGM. We derive analytically the continuous equations for two CGM, in 1+1 dimensions, from the microscopic rules using a regularization procedure. We propose generalized scalings that reproduce the scaling behavior in each regime. In order to verify the analytic results and the scalings, we perform numerical integrations of the derived analytical equations. The results are in excellent agreement with those of the microscopic CGM presented here and with the proposed scalings.Comment: 9 pages, 3 figure

    Synchronization in Scale Free networks: The role of finite size effects

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    Synchronization problems in complex networks are very often studied by researchers due to its many applications to various fields such as neurobiology, e-commerce and completion of tasks. In particular, Scale Free networks with degree distribution P(k)∼k−λP(k)\sim k^{-\lambda}, are widely used in research since they are ubiquitous in nature and other real systems. In this paper we focus on the surface relaxation growth model in Scale Free networks with 2.5<λ<32.5< \lambda <3, and study the scaling behavior of the fluctuations, in the steady state, with the system size NN. We find a novel behavior of the fluctuations characterized by a crossover between two regimes at a value of N=N∗N=N^* that depends on λ\lambda: a logarithmic regime, found in previous research, and a constant regime. We propose a function that describes this crossover, which is in very good agreement with the simulations. We also find that, for a system size above N∗N^{*}, the fluctuations decrease with λ\lambda, which means that the synchronization of the system improves as λ\lambda increases. We explain this crossover analyzing the role of the network's heterogeneity produced by the system size NN and the exponent of the degree distribution.Comment: 9 pages and 5 figures. Accepted in Europhysics Letter
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