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- Peter Kollock, Philip Blumstein, Pepper Schwartz, Nancy Durbin, Mary Rogers Gillmore, Laurie Russell Hatch +5 others
- 1985

This paper examines conversational behavior which previous research suggests is differentiated on the basis of sex. Interaction is conceptualized in terms of a sexual ,division of labor wherein men dominate conversation and women behave in a supportive manner. The literature raises the question of whether these differences in conversational patterns are… (More)

- Robyn R. Lutz, Jack H. Lutz, James I. Lathrop, Titus H. Klinge, Divita Mathur, Donald M. Stull +2 others
- RE
- 2012

—DNA nanotechnology uses the information processing capabilities of nucleic acids to design self-assembling, programmable structures and devices at the nanoscale. Devices developed to date have been programmed to implement logic circuits and neural networks, capture or release specific molecules, and traverse molecular tracks and mazes. Here we investigate… (More)

We use Kolmogorov complexity methods to give a lower bound on the effective Hausdorff dimension of the point (x, ax + b), given real numbers a, b, and x. We apply our main theorem to a problem in fractal geometry, giving an improved lower bound on the (classical) Hausdorff dimension of generalized sets of Furstenberg type.

We study the interaction between polynomial space randomness and a fundamental result of analysis, the Lebesgue differentiation theorem. We generalize Ko's framework for polynomial space computability in R n to define weakly pspace-random points, a new variant of polynomial space randomness. We show that the Lebesgue differentiation theorem characterizes… (More)

We study the interaction between polynomial space randomness and a fundamental result of analysis, the Lebesgue differentiation theorem. We generalize Ko's framework for polynomial space computabil-ity in R n to define weakly pspace-random points, a new variant of polynomial space randomness. We show that the Lebesgue differentiation theorem holds for every… (More)

Chemical reaction networks (CRNs) model the behavior of molecules in a well-mixed system. The emerging field of molecular programming uses CRNs not only as a descriptive tool, but as a programming language for chemical computation. Recently, Chen, Doty and Soloveichik introduced a new model of chemical kinetics, rate-independent continuous CRNs (CCRNs), to… (More)

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