1,390 research outputs found
Rods are less fragile than spheres: Structural relaxation in dense liquids composed of anisotropic particles
We perform extensive molecular dynamics simulations of dense liquids composed
of bidisperse dimer- and ellipse-shaped particles in 2D that interact via
repulsive contact forces. We measure the structural relaxation times obtained
from the long-time decay of the self-part of the intermediate scattering
function for the translational and rotational degrees of freedom (DOF) as a
function of packing fraction \phi, temperature T, and aspect ratio \alpha. We
are able to collapse the \phi and T-dependent structural relaxation times for
disks, and dimers and ellipses over a wide range of \alpha, onto a universal
scaling function {\cal F}_{\pm}(|\phi-\phi_0|,T,\alpha), which is similar to
that employed in previous studies of dense liquids composed of purely repulsive
spherical particles in 3D. {\cal F_{\pm}} for both the translational and
rotational DOF are characterized by the \alpha-dependent scaling exponents \mu
and \delta and packing fraction \phi_0(\alpha) that signals the crossover in
the scaling form {\cal F}_{\pm} from hard-particle dynamics to super-Arrhenius
behavior for each aspect ratio. We find that the fragility at \phi_0,
m(\phi_0), decreases monotonically with increasing aspect ratio for both
ellipses and dimers. Moreover, the results for the slow dynamics of dense
liquids composed of dimer- and ellipse-shaped particles are qualitatively the
same, despite the fact that zero-temperature static packings of dimers are
isostatic, while static packings of ellipses are hypostatic.Comment: 10 pages, 17 figures, and 1 tabl
Hypernetwork Knowledge Graph Embeddings
Knowledge graphs are graphical representations of large databases of facts,
which typically suffer from incompleteness. Inferring missing relations (links)
between entities (nodes) is the task of link prediction. A recent
state-of-the-art approach to link prediction, ConvE, implements a convolutional
neural network to extract features from concatenated subject and relation
vectors. Whilst results are impressive, the method is unintuitive and poorly
understood. We propose a hypernetwork architecture that generates simplified
relation-specific convolutional filters that (i) outperforms ConvE and all
previous approaches across standard datasets; and (ii) can be framed as tensor
factorization and thus set within a well established family of factorization
models for link prediction. We thus demonstrate that convolution simply offers
a convenient computational means of introducing sparsity and parameter tying to
find an effective trade-off between non-linear expressiveness and the number of
parameters to learn
Geologic Setting and Activity of Faults in the San Fernando Area, California
The faulting associated with the San Fernando earthquake of February 9, 1971, occurred in the Transverse Ranges structural province, a region noted for its strong and relatively young tectonic deformation. This is, however, the first example of historic surface faulting within the interior of that province
The 21-SPONGE HI Absorption Survey I: Techniques and Initial Results
We present methods and results from "21-cm Spectral Line Observations of
Neutral Gas with the EVLA" (21-SPONGE), a large survey for Galactic neutral
hydrogen (HI) absorption with the Karl G. Jansky Very Large Array (VLA). With
the upgraded capabilities of the VLA, we reach median root-mean-square (RMS)
noise in optical depth of per
channel for the 31 sources presented here. Upon
completion, 21-SPONGE will be the largest HI absorption survey with this high
sensitivity. We discuss the observations and data reduction strategies, as well
as line fitting techniques. We prove that the VLA bandpass is stable enough to
detect broad, shallow lines associated with warm HI, and show that bandpass
observations can be combined in time to reduce spectral noise. In combination
with matching HI emission profiles from the Arecibo Observatory (
angular resolution), we estimate excitation (or spin) temperatures ()
and column densities for Gaussian components fitted to sightlines along which
we detect HI absorption (30/31). We measure temperatures up to for individual lines, showing that we can probe the
thermally unstable interstellar medium (ISM) directly. However, we detect fewer
of these thermally unstable components than expected from previous
observational studies. We probe a wide range in column density between
and for individual HI clouds. In addition,
we reproduce the trend between cold gas fraction and average found by
synthetic observations of a hydrodynamic ISM simulation by Kim et al. (2014).
Finally, we investigate methods for estimating HI and discuss their
biases.Comment: Accepted for publication in ApJ; 24 pages, 14 figure
Jamming in Systems Composed of Frictionless Ellipse-Shaped Particles
We study the structural and mechanical properties of jammed ellipse packings,
and find that the nature of the jamming transition in these systems is
fundamentally different from that for spherical particles. Ellipse packings are
generically hypostatic with more degrees of freedom than constraints. The
spectra of low energy excitations possess two gaps and three distinct branches
over a range of aspect ratios. In the zero compression limit, the energy of the
modes in the lowest branch increases {\it quartically} with deformation
amplitude, and the density of states possesses a -function at zero
frequency. We identify scaling relations that collapse the low-frequency part
of the spectra for different aspect ratios. Finally, we find that the degree of
hypostaticity is determined by the number of quartic modes of the packing.Comment: 4 pages, 4 figure
Proceedings of the 45th Annual Meeting of the Southern Soybean Disease Workers (March 7-8, 2018, Pensacola Beach, Florida)
Contents
List of SSDW Officers
Agenda for March 7-8, 2018
Abstracts for contributed/presented papers
Retrospective analyses regarding the impact of soybean diseases in the USA .TW Allen, PD Esker, and CA Bradley
Diaporthe (Phomopsis) species on soybean: current status in the United States. Febina Mathew, Kristina Petrovic, Lisa Castlebury, Tom Allen, Gary Bergstrom, John Bonkowski, Carl Bradley, James Buck, Emmanuel Byamukama, Martin Chilvers, Anne Dorrance, Nicholas Dufault, Loren Giesler, Nancy Gregory, Heather Kelly, Nathan Kleczewski, Trey Price, Dean Malvick, Sam Markell, Daren Mueller, Damon Smith, Terry Spurlock, Kiersten Wise, and Marina Johnson
New insights into the genetic underpinnings of pathogenesis in Cercospora cf. flagellaris. Burt Bluhm, Ahmad Fakhoury, Alex Zaccaron, and Kona Swift
Evaluation of spore traps and molecular tools for a fungicide decision model for frogeye leaf spot. HM Kelly and B Lin
Site-specific management strategies against multiple nematode species in soybean. C Overstreet, EC McGawley, DM Xavier-Mis, and JS Rezende
Field efficacy of two new seed-applied biological agents for suppression of root-knot nematodes in soybean. Travis R Faske, Michael Emerson, and Katherine Hurd
Evaluation of 418 soybean plant introductions with reported resistance to soybean cyst nematode for reniform nematode resistance. Robert T Robbins and Devany Crippen
Studies on Soybean vein necrosis virus in Alabama. EJ Sikora, D Delaney, A Jacobson, K Conner, A Chitturi, and J Kemble
Using unmanned aerial vehicle (UAV) photograph analysis to generate corroborating data in small plot soybean fungicide efficacy trials. P Price, MA Purvis, and P Washam
Building a foundation for cultivar and fungicide selection decisions in soybean. HM Kelly
Results from the 2017 Mississippi State University target spot fungicide efficacy program. TW Allen and TH Wilkerson
Relating temperature and relative humidity in commercial warehouses to decline in vigor of soybean seed stored for late plantings in Arkansas. JC Rupe, JA Lee, A Palmer, RT Holland, J Robinson, RD Cartwright, and G Atungulu
Seed treatment for sudden death syndrome management in soybean. Yuba R Kandel, Carl A Bradley, Martin I Chilvers, Febina M Mathew, Albert U Tenuta, Damon L Smith, Kiersten A Wise, and Daren S Mueller
Evaluation of screening methods for soil-borne diseases of soybean (Glycine max) in west Tennessee. R Guyer, E Zuchelli, and H Kelly
Abstracts for student papers
An update on taproot decline in Arkansas. J Bailey, AC Tolbert, B Boney, and TN Spurlock
Taproot decline of soybean is caused by an undescribed species in the Genus Xylaria. T Garcia-Aroca, P Price, M Tomaso-Peterson, T Spurlock, TR Faske, B Bluhm, K Conner, EJ Sikora, R Guyer, H Kelly, TW Allen, and VP Doyle
Assessing pathogenicity and virulence of Xylaria sp. isolates from Mississippi soybean. H Renfroe, T Wilkerson, T Allen, and M Tomaso-Peterson
Effects of mycovirus infection on virulence of Rhizoctonia solani in soybean. TJ Stetina, CS Rothrock, and TN Spurlock
Is the emergence of Soybean vein necrosis virus linked to the re-emergence of Tobacco streak virus? C Zambrana-EchevarrÃa, CL Groves, TL German, and DL Smith
Is soybean vein necrosis a threat to soybean production? NR Anderson, MD Irizarry, CA Bloomingdale, DL Smith, CA Bradley, DP Delaney, NM Kleczewski, EJ Sikora, DS Mueller, and KA Wise
Yield prediction in soybean fields using satellite imagery. B Boney and TN Spurlock
Elucidating the race population structure of Cercospora sojina through genotypic patterns. Wagner Fagundes, Marcio Zaccaron, Alex Zaccaron, and Burton H Bluhm
Impact of foliar fungicide applications in soybean fields across aggregated distributions of disease. M Patterson, AC Tolbert, and TN Spurlock
Abstract for presented poster
Assessing the genetic diversity of Cercospora spp. associated with Cercospora leaf blight of soybean in North America. Kona Swift and Burt Bluhm
Southern United States soybean disease loss estimates for 2017. TW Allen, K Bissonnette, CA Bradley, JP Damicone, NS Dufault, TR Faske, CA Hollier, T Isakeit, RC Kemerait, NM Kleczewski, HL Mehl, JD Mueller, C Overstreet, PP Price, EJ Sikora, TN Spurlock, L Thiessen, and H Young
Proceedings of the Southern Soybean Disease Workers area published annually by the Southern Soybean Disease Workers.
Text, references, figures, and tables are reproduced as they were submitted by authors. The opinions expressed by the participants at this conference are their own and do not necessarily represent those of the Southern Soybean Disease Workers.
Mention of a trademark or proprietary products in this publication does not constitute a guarantee, warranty, or endorsement of that product by the Southern Soybean Disease Workers.
Appreciation is given to the staff at the University of Kentucky Research & Education Center, Princeton, KY, for their assistance in assembling these Proceedings
Path integral Monte Carlo simulations for rigid rotors and their application to water
In this work the path integral formulation for rigid rotors, proposed by
M\"user and Berne [Phys. Rev. Lett. {\bf 77}, 2638 (1996)], is described in
detail. It is shown how this formulation can be used to perform Monte Carlo
simulations of water. Our numerical results show that whereas some properties
of water can be accurately reproduced using classical simulations with an
empirical potential which, implicitly, includes quantum effects, other
properties can only be described quantitatively when quantum effects are
explicitly incorporated. In particular, quantum effects are extremely relevant
when it comes to describing the equation of state of the ice phases at low
temperatures, the structure of the ices at low temperatures, and the heat
capacity of both liquid water and the ice phases. They also play a minor role
in the relative stability of the ice phases.Comment: to appear in Molecular Physics (2011
Geologic Setting and Activity of Faults in the San Fernando Area, California
The faulting associated with the San Fernando earthquake of February 9, 1971, occurred in the Transverse Ranges structural province, a region noted for its strong and relatively young tectonic deformation. This is, however, the first example of historic surface faulting within the interior of that province
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