University of Nevada, Reno

About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.

Energy flow in proteins.

Abstract: Energy flows anisotropically through the residues and vibrational states of globular proteins. A variety of experimental and computational studies have identified energy transport channels traversing many residues, in some cases connecting functional regions, potentially important in allostery, and in other cases having no apparent function. This property and the diffusion of energy in proteins are mimicked by transport on a percolation cluster. I review work that addresses connections between globular proteins, percolation clusters, and the similarity of energy flow and thermal transport in these systems. I also review experimental and theoretical studies of the anisotropic flow of energy through the vibrational states of a protein, a property that also can be understood by comparison with simple model disordered systems.

A composite source model for computing realistic synthetic strong ground motions

Abstract: A composite source model is presented for convolution with synthetic Green's functions, in order to synthesize strong ground motions due to a complex rupture process of a large earthquake. Subevents with a power-law distribution of sizes are located randomly on the fault. Each subevent radiates a displacement pulse with the shape of a Brune's pulse in the far field, at a time determined by a constant rupture velocity propagating from the hypocenter. Thus, all the input parameters have a physical basis. We simulate strong ground motions for event-station pairs that correspond to records obtained in Mexico by the Guerrero accelerograph network. The synthetic accelerations, velocities, and displacements have realistic amplitudes, durations, and Fourier spectra.

Strong spectral variation of biomass smoke light absorption and single scattering albedo observed with a novel dual-wavelength photoacoustic instrument

Abstract: [1] A dual-wavelength photoacoustic instrument operating at 405 and 870 nm was used during the 2006 Fire Lab at Missoula Experiment to measure light scattering and absorption by smoke from the combustion of a variety of biomass fuels. Simultaneous measurements of aerosol light scattering by reciprocal nephelometry within the instrument's acoustic resonator accompany photoacoustic aerosol light absorption measurements. Single scattering albedo values at 405 nm ranging from 0.37 to 0.95 were measured for different fuel types, and the spectral dependence of absorption was quantified using the Angstrom exponent of absorption. An absorption Angstrom exponent near unity is commonly observed for motor vehicle emission-generated black carbon aerosol. For biomass smoke, Angstrom exponents as high as 3.5 were found in association with smoke having single scattering albedo near unity. The measurements strongly suggest that light-absorbing organic material is present in wood smoke. A second single-wavelength photoacoustic instrument with reciprocal nephelometry was used to quantify aerosol scattering and absorption at 532 nm. Absorption Angstrom exponents calculated using 532 and 870 nm data were as large as 2.5 for smoke with single scattering albedos near unity. The spectral variation in optical properties provides insight into the differentiation of aerosols from mobile or industrial sources versus those from biomass burning. Optical properties of biomass smokes could be classified by general fuel type such as flowering shrubs versus pine needle litter.

The counting lemma for regular k-uniform hypergraphs

Abstract: Szemeredi's Regularity Lemma proved to be a powerful tool in the area of extremal graph theory. Many of its applications are based on its accompanying Counting Lemma: If G is an e-partite graph with V (G) = V1 ∪ … ∪ Ve and sVis = n for all i ∈ [e], and all pairs (Vi, Vj) are e-regular of density d for 1 ≤ i ≤ j ≤ e and e L d, then G contains $(1\pm f_{\ell}(\varepsilon))d^{\ell \choose 2}\times n^{\ell}$ cliques Ke, where fe(e) → 0 as e → 0.Recently, Rodl and Skokan generalized Szemeredi's Regularity Lemma from graphs to k-uniform hypergraphs for arbitrary k ≥ 2. In this paper we prove a Counting Lemma accompanying the Rodl–Skokan hypergraph Regularity Lemma. Similar results were independently obtained by Gowers.Such results give combinatorial proofs to the density result of Szemeredi and some of the density theorems of Furstenberg and Katznelson. © 2006 Wiley Periodicals, Inc. Random Struct. Alg., 2006

Fatigue resistance of aligned carbon nanotube arrays under cyclic compression.

Abstract: Structural components subject to cyclic stress can succumb to fatigue, causing them to fail at stress levels much lower than if they were under static mechanical loading1 However, despite extensive research into the mechanical properties of carbon nanotube structures2,3,4,5,6,7,8,9 for more than a decade, data on the fatigue behaviour of such devices have never been reported We show that under repeated high compressive strains, long, vertically aligned multiwalled nanotubes exhibit viscoelastic behaviour similar to that observed in soft-tissue membranes10,11 Under compressive cyclic loading, the mechanical response of the nanotube arrays shows preconditioning, characteristic viscoelasticity-induced hysteresis, nonlinear elasticity and stress relaxation, and large deformations Furthermore, no fatigue failure is observed at high strain amplitudes up to half a million cycles This combination of soft-tissue-like behaviour and outstanding fatigue resistance suggests that properly engineered nanotube structures could mimic artificial tissues, and that their good electrical conductivity could lead to their use as compliant electrical contacts in a variety of applications