7,111 research outputs found
Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies
Statistical downscaling is a commonly used technique for translating
large-scale climate model output to a scale appropriate for assessing
impacts. To ensure downscaled meteorology can be used in climate impact
studies, downscaling must correct biases in the large-scale signal. A simple
and generally effective method for accommodating systematic biases in
large-scale model output is quantile mapping, which has been applied to many
variables and shown to reduce biases on average, even in the presence of
non-stationarity. Quantile-mapping bias correction has been applied at
spatial scales ranging from hundreds of kilometers to individual
points, such as weather station locations. Since water resources and other
models used to simulate climate impacts are sensitive to biases in input
meteorology, there is a motivation to apply bias correction at a scale fine
enough that the downscaled data closely resemble historically observed
data, though past work has identified undesirable consequences to applying
quantile mapping at too fine a scale. This study explores the role of the
spatial scale at which the quantile-mapping bias correction is applied, in
the context of estimating high and low daily streamflows across the western
United States. We vary the spatial scale at which quantile-mapping bias
correction is performed from 2° ( ∼  200 km) to
1∕8° ( ∼  12 km) within a statistical downscaling
procedure, and use the downscaled daily precipitation and temperature to
drive a hydrology model. We find that little additional benefit is obtained,
and some skill is degraded, when using quantile mapping at scales finer than
approximately 0.5° ( ∼  50 km). This can provide
guidance to those applying the quantile-mapping bias correction method for
hydrologic impacts analysis
A Quantum solution to the Byzantine agreement problem
We present a solution to an old and timely problem in distributed computing.
Like Quantum Key Distribution (QKD), quantum channels make it possible to
achieve taks classically impossible. However, unlike QKD, here the goal is not
secrecy but agreement, and the adversary is not outside but inside the game,
and the resources require qutrits.Comment: 4 pages, 1 figur
Selection of chromosomal DNA libraries using a multiplex CRISPR system.
The directed evolution of biomolecules to improve or change their activity is central to many engineering and synthetic biology efforts. However, selecting improved variants from gene libraries in living cells requires plasmid expression systems that suffer from variable copy number effects, or the use of complex marker-dependent chromosomal integration strategies. We developed quantitative gene assembly and DNA library insertion into the Saccharomyces cerevisiae genome by optimizing an efficient single-step and marker-free genome editing system using CRISPR-Cas9. With this Multiplex CRISPR (CRISPRm) system, we selected an improved cellobiose utilization pathway in diploid yeast in a single round of mutagenesis and selection, which increased cellobiose fermentation rates by over 10-fold. Mutations recovered in the best cellodextrin transporters reveal synergy between substrate binding and transporter dynamics, and demonstrate the power of CRISPRm to accelerate selection experiments and discoveries of the molecular determinants that enhance biomolecule function
Geodesic and Path Motion in the Nonsymmetric Gravitational Theory
We study the problem of test-particle motion in the Nonsymmetric
Gravitational Theory (NGT) assuming the four-velocity of the particle is
parallel-transported along the trajectory. The predicted motion is studied on a
static, spherically symmetric background field, with particular attention paid
to radial and circular motions. Interestingly, it is found that the proper time
taken to travel between any two non-zero radial positions is finite. It is also
found that circular orbits can be supported at lower radii than in General
Relativity for certain forms of motion.
We present three interactions which could be used as alternate methods for
coupling a test-particle to the antisymmetric components of the NGT field. One
of these takes the form of a Yukawa force in the weak-field limit of a static,
spherically symmetric field, which could lead to interesting phenomenology.Comment: 17 pages, REVTeX 3.0 with amssymb.st
The Claims Culture: A Taxonomy of Industry Attitudes
This paper presents an analysis of a familiar aspect of construction industry culture that we have dubbed 'the claims culture'. This is a culture of contract administration that lays a strong emphasis on the planning and management of claims. The principal elements of the analysis are two sets of distinctions. The first comprises economic and occupational orders, referring to two kinds of control that are exercised over the construction process; predicated respectively on economic ownership and occupational competence. The second refers to contrasting attitudes towards relationships and problem solving within these orders: respectively 'distributive' and 'integrative'. The concepts of economic and occupational order entail further sub-categories. The various attitudes associated with these categories and sub-categories are described. They are assessed as to their consequences for change initiatives in the industry
Polarization of superfluid turbulence
We show that normal fluid eddies in turbulent helium II polarize the tangle
of quantized vortex lines present in the flow, thus inducing superfluid
vorticity patterns similar to the driving normal fluid eddies. We also show
that the polarization is effective over the entire inertial range. The results
help explain the surprising analogies between classical and superfluid
turbulence which have been observed recently.Comment: 3 figure
Quantum Portfolios
Quantum computation holds promise for the solution of many intractable
problems. However, since many quantum algorithms are stochastic in nature they
can only find the solution of hard problems probabilistically. Thus the
efficiency of the algorithms has to be characterized both by the expected time
to completion {\it and} the associated variance. In order to minimize both the
running time and its uncertainty, we show that portfolios of quantum algorithms
analogous to those of finance can outperform single algorithms when applied to
the NP-complete problems such as 3-SAT.Comment: revision includes additional data and corrects minor typo
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