32,140 research outputs found
Incidence and drug treatment of emotional distress after cancer diagnosis : a matched primary care case-control study
Notes This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License.Peer reviewedPublisher PD
Predicting September sea ice: Ensemble skill of the SEARCH Sea Ice Outlook 2008–2013
Since 2008, the Study of Environmental Arctic Change Sea Ice Outlook has solicited predictions of September sea-ice extent from the Arctic research community. Individuals and teams employ a variety of modeling, statistical, and heuristic approaches to make these predictions. Viewed as monthly ensembles each with one or two dozen individual predictions, they display a bimodal pattern of success. In years when observed ice extent is near its trend, the median predictions tend to be accurate. In years when the observed extent is anomalous, the median and most individual predictions are less accurate. Statistical analysis suggests that year-to-year variability, rather than methods, dominate the variation in ensemble prediction success. Furthermore, ensemble predictions do not improve as the season evolves. We consider the role of initial ice, atmosphere and ocean conditions, and summer storms and weather in contributing to the challenge of sea-ice prediction
Degree correlations in scale-free null models
We study the average nearest neighbor degree of vertices with degree
. In many real-world networks with power-law degree distribution
falls off in , a property ascribed to the constraint that any two vertices
are connected by at most one edge. We show that indeed decays in in
three simple random graph null models with power-law degrees: the erased
configuration model, the rank-1 inhomogeneous random graph and the hyperbolic
random graph. We consider the large-network limit when the number of nodes
tends to infinity. We find for all three null models that starts to
decay beyond and then settles on a power law , with the degree exponent.Comment: 21 pages, 4 figure
On pairwise distances and median score of three genomes under DCJ
In comparative genomics, the rearrangement distance between two genomes
(equal the minimal number of genome rearrangements required to transform them
into a single genome) is often used for measuring their evolutionary
remoteness. Generalization of this measure to three genomes is known as the
median score (while a resulting genome is called median genome). In contrast to
the rearrangement distance between two genomes which can be computed in linear
time, computing the median score for three genomes is NP-hard. This inspires a
quest for simpler and faster approximations for the median score, the most
natural of which appears to be the halved sum of pairwise distances which in
fact represents a lower bound for the median score.
In this work, we study relationship and interplay of pairwise distances
between three genomes and their median score under the model of
Double-Cut-and-Join (DCJ) rearrangements. Most remarkably we show that while a
rearrangement may change the sum of pairwise distances by at most 2 (and thus
change the lower bound by at most 1), even the most "powerful" rearrangements
in this respect that increase the lower bound by 1 (by moving one genome
farther away from each of the other two genomes), which we call strong, do not
necessarily affect the median score. This observation implies that the two
measures are not as well-correlated as one's intuition may suggest.
We further prove that the median score attains the lower bound exactly on the
triples of genomes that can be obtained from a single genome with strong
rearrangements. While the sum of pairwise distances with the factor 2/3
represents an upper bound for the median score, its tightness remains unclear.
Nonetheless, we show that the difference of the median score and its lower
bound is not bounded by a constant.Comment: Proceedings of the 10-th Annual RECOMB Satellite Workshop on
Comparative Genomics (RECOMB-CG), 2012. (to appear
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