4,717 research outputs found
Packing-Limited Growth
We consider growing spheres seeded by random injection in time and space.
Growth stops when two spheres meet leading eventually to a jammed state. We
study the statistics of growth limited by packing theoretically in d dimensions
and via simulation in d=2, 3, and 4. We show how a broad class of such models
exhibit distributions of sphere radii with a universal exponent. We construct a
scaling theory that relates the fractal structure of these models to the decay
of their pore space, a theory that we confirm via numerical simulations. The
scaling theory also predicts an upper bound for the universal exponent and is
in exact agreement with numerical results for d=4.Comment: 6 pages, 5 figures, 4 tables, revtex4 to appear in Phys. Rev. E, May
200
Reconstructing the linear power spectrum of cosmological mass fluctuations
We describe an attempt to reconstruct the initial conditions for the
formation of cosmological large-scale structure. The power spectrum of the
primordial fluctuations is affected by bias, nonlinear evolution and
redshift-space distortions, but we show how these effects can be corrected for
analytically. Using eight independent datasets, we obtain excellent agreement
in the estimated linear power spectra given the following conditions. First,
the relative bias factors for Abell clusters, radio galaxies, optical galaxies
and IRAS galaxies must be in the ratios 4.5:1.9:1.3:1. Second, the data require
redshift-space distortion: \Omega^{0.6}/b_{\ss I}
= 1.0 \pm 0.2. Third, low values of and bias are disfavoured. The
shape of the spectrum is extremely well described by a CDM transfer function
with an apparent value of the fitting parameter . Tilted models
predict too little power at 100 Mpc wavelengths.Comment: Edinburgh Astronomy Preprint 26/93. Accepted for publication in
Monthly Notices of the RAS. 13 pages of LaTeX, plus 10 PostScript figures.
You will need the mn.sty style file (from babbage: get mn.sty). The figure
.ps files are in the usual self-unpacking unix scrip
Trends Prediction Using Social Diffusion Models
The importance of the ability of predict trends in social media has been
growing rapidly in the past few years with the growing dominance of social
media in our everyday's life. Whereas many works focus on the detection of
anomalies in networks, there exist little theoretical work on the prediction of
the likelihood of anomalous network pattern to globally spread and become
"trends". In this work we present an analytic model the social diffusion
dynamics of spreading network patterns. Our proposed method is based on
information diffusion models, and is capable of predicting future trends based
on the analysis of past social interactions between the community's members. We
present an analytic lower bound for the probability that emerging trends would
successful spread through the network. We demonstrate our model using two
comprehensive social datasets - the "Friends and Family" experiment that was
held in MIT for over a year, where the complete activity of 140 users was
analyzed, and a financial dataset containing the complete activities of over
1.5 million members of the "eToro" social trading community.Comment: 6 Pages + Appendi
Identity and Search in Social Networks
Social networks have the surprising property of being "searchable": Ordinary
people are capable of directing messages through their network of acquaintances
to reach a specific but distant target person in only a few steps. We present a
model that offers an explanation of social network searchability in terms of
recognizable personal identities: sets of characteristics measured along a
number of social dimensions. Our model defines a class of searchable networks
and a method for searching them that may be applicable to many network search
problems, including the location of data files in peer-to-peer networks, pages
on the World Wide Web, and information in distributed databases.Comment: 4 page, 3 figures, revte
A new species of phyllopod
http://deepblue.lib.umich.edu/bitstream/2027.42/56580/1/OP141.pd
24-HOUR TOTAL ENERGY EXPENDITURE DURING ULTRA-ENDURANCE CROSS-COUNTRY CYCLING
ABSTRACT
Previous studies have used the doubly labelled water (DLW) method to evaluate the total energy expenditure (TEE) during Ironman, ultra-marathon trail runs and competitive road cycling. However, the technique has not been applied to a 24-hour cross-country mountain bike event. This case study examined the TEE, cycling metrics and ad libitum nutrient/fluid intake in a trained male cyclist during a 24-hour cross-country mountain bike race. A trained male cyclist (41 y, 74.1 kg, 172.4 cm) received an oral dose of DLW prior to the 24-hour event for the calculations of TEE and water turnover (rH2O). Nude body weight and urine samples were collected pre, during, and post-race. Total nutrient (TNI) and fluid intake (TFI) and cycling metrics (speed, power output, cadence, HR) were continuously quantified during the event. The rider completed 383 km coupled with a vertical gain of ~7,737 m (GPS) during the 24-hour event. Average speed, power and HR were 16.3±2 km.hr-1, 122±29 W, and 134±18 bpm, respectively. TEE and TNI were 41 and 23.5 MJ, respectively. Total carbohydrate intake was 1192 g with an average hourly intake of 58±22 g.hr-1. Total body weight was 75.3 and 72.3 kg pre- and post-race, respectively with an ad libitum total fluid intake of 13.3 L. These data provide foundational measures of TEE, TEI and TFI during an ultra-endurance cross-country mountain biking event which can provide for future race/training strategies
Geometry of River Networks II: Distributions of Component Size and Number
The structure of a river network may be seen as a discrete set of nested
sub-networks built out of individual stream segments. These network components
are assigned an integral stream order via a hierarchical and discrete ordering
method. Exponential relationships, known as Horton's laws, between stream order
and ensemble-averaged quantities pertaining to network components are observed.
We extend these observations to incorporate fluctuations and all higher moments
by developing functional relationships between distributions. The relationships
determined are drawn from a combination of theoretical analysis, analysis of
real river networks including the Mississippi, Amazon and Nile, and numerical
simulations on a model of directed, random networks. Underlying distributions
of stream segment lengths are identified as exponential. Combinations of these
distributions form single-humped distributions with exponential tails, the sums
of which are in turn shown to give power law distributions of stream lengths.
Distributions of basin area and stream segment frequency are also addressed.
The calculations identify a single length-scale as a measure of size
fluctuations in network components. This article is the second in a series of
three addressing the geometry of river networks.Comment: 16 pages, 13 figures, 4 tables, Revtex4, submitted to PR
Exploring positive adjustment in HIV positive African women living in the UK
This published version of this article has been made available through Open Access by the Brunel University Open Access Publishing Fund and can be accessed at the link below - Copyright @ 2011 Taylor & FrancisResearch into living with HIV/AIDS has to date mainly focused on quality of life and there is little on the adjustment process for this group. The numbers of African women living with HIV/AIDS in the UK is growing and yet little is known about the adjustment experience for these women. This study explored aspects of positive adjustment to living with HIV/AIDS among a sample of African women living in London, UK. Transcripts of semi-structured interviews with 12 women were analysed using interpretative phenomenological analysis (IPA). Two superordinate themes emerged inductively from the data: positive changes in coping (subthemes: positive interpretation of their situation and positive behavioural changes) and positive growth since the HIV diagnosis (subthemes: changes in the value of life and, changes in goals and opportunities). While these women acknowledged the negative impact of living with HIV/AIDS, all participants mentioned changes in health behaviours to help regain mastery of their lives and comparing with others better-off and worse-off was used to enhance self-esteem and view their situation positively. The data show evidence for Taylor's Cognitive Adaptation Theory
Measurements of orbit-lattice coupling of Er and Dy impurities in Ag and Al hosts
The magnetic resonance of dilute Dy and Er impurities has been observed in thin polycrystalline Al and Ag films on two different substrates. The films are deposited at room temperature, and the measurements are made at liquid-helium temperatures. During cooling, the difference in thermal contraction between film and substrate produces an effectively uniaxial strain in the film. This results in an anisotropic g value, which we have used to obtain lower limits on the orbit-lattice coupling coefficient for these systems. We find values for V ( Î 3g, 2 ) from 600 to 2000 cm â 1 , somewhat smaller than observed in insulators, but of the same order of magnitude. Measurements on substrates with different thermal contractions indicate that all of the expected strain is present in these films, contrary to previous measurements on Ag: Er films grown on NaCl surfaces
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