9,798 research outputs found
Controls on Cyclic Formation of Quaternary Early Diagenetic Dolomite
The origin of sedimentary dolomite and the factors that control its formation within the geological record remain speculative. In most models, dolomite formation is linked to evaporative conditions, high water temperature, increasing Mg/Ca ratio, increasing alkalinity, and high amounts of biomass. Here we challenge these archetypal views, by documenting a case example of Quaternary dolomite which formed in Lake Van at constantly low temperature (<4°C) and without direct control of the latter conditions. Dolomite occurs within highstand sediments related to suborbital climate variability (Dansgaard‐Oeschger cycles). We propose that dolomite precipitation is a product of a microbially influenced process, triggered by ecological stress, resulting from reventilation of the water‐sediment interface. Independently from the validity of this hypothesis, our results call for a reevaluation of the paleoenvironmental conditions often invoked for early diagenetic dolomite‐rich intervals within sedimentary sequences and for caution when interpreting time series of subrecent lacustrine carbonates
Multiple imputations to study the association between childhood growth and early breast cancer
A QTL for osteoporosis detected in an F2 population derived from White Leghorn chicken lines divergently selected for bone index
Osteoporosis, resulting from progressive loss of structural bone during the period of egg-laying in hens, is associated with an increased susceptibility to bone breakage. To study the genetic basis of bone strength, an F cross was produced from lines of hens that had been divergently selected for bone index from a commercial pedigreed White Leghorn population. Quantitative trait loci (QTL) affecting the bone index and component traits of the index (tibiotarsal and humeral strength and keel radiographic density) were mapped using phenotypic data from 372 F individuals in 32 F families. Genotypes for 136 microsatellite markers in 27 linkage groups covering ∼80% of the genome were analysed for association with phenotypes using within-family regression analyses. There was one significant QTL on chromosome 1 for bone index and the component traits of tibiotarsal and humeral breaking strength. Additive effects for tibiotarsal breaking strength represented 34% of the trait standard deviation and 7.6% of the phenotypic variance of the trait. These QTL for bone quality in poultry are directly relevant to commercial populations
The Effect of Zonally Asymmetric Ozone Heating on the Northern Hemisphere Winter Polar Stratosphere
[1] Previous modeling studies have found significant differences in winter extratropical stratospheric temperatures depending on the presence or absence of zonally asymmetric ozone heating (ZAOH), yet the physical mechanism causing these differences has not been fully explained. The present study describes the effect of ZAOH on the dynamics of the Northern Hemisphere extratropical stratosphere using an ensemble of free-running atmospheric general circulation model simulations over the 1 December - 31 March period. We find that the simulations including ZAOH produce a significantly warmer and weaker stratospheric polar vortex in mid-February due to more frequent major stratospheric sudden warmings compared to the simulations using only zonal mean ozone heating. This is due to regions of enhanced Eliassen-Palm flux convergence found in the region between 40°N–70°N latitude and 10–0.05 hPa. These results are consistent with changes in the propagation of planetary waves in the presence of ZAOH predicted by an ozone-modified refractive index
Structure maps for hcp metals from first principles calculations
The ability to predict the existence and crystal type of ordered structures
of materials from their components is a major challenge of current materials
research. Empirical methods use experimental data to construct structure maps
and make predictions based on clustering of simple physical parameters. Their
usefulness depends on the availability of reliable data over the entire
parameter space. Recent development of high throughput methods opens the
possibility to enhance these empirical structure maps by {\it ab initio}
calculations in regions of the parameter space where the experimental evidence
is lacking or not well characterized. In this paper we construct enhanced maps
for the binary alloys of hcp metals, where the experimental data leaves large
regions of poorly characterized systems believed to be phase-separating. In
these enhanced maps, the clusters of non-compound forming systems are much
smaller than indicated by the empirical results alone.Comment: 7 pages, 4 figures, 1 tabl
Inferring Species Trees Directly from Biallelic Genetic Markers: Bypassing Gene Trees in a Full Coalescent Analysis
The multi-species coalescent provides an elegant theoretical framework for
estimating species trees and species demographics from genetic markers.
Practical applications of the multi-species coalescent model are, however,
limited by the need to integrate or sample over all gene trees possible for
each genetic marker. Here we describe a polynomial-time algorithm that computes
the likelihood of a species tree directly from the markers under a finite-sites
model of mutation, effectively integrating over all possible gene trees. The
method applies to independent (unlinked) biallelic markers such as well-spaced
single nucleotide polymorphisms (SNPs), and we have implemented it in SNAPP, a
Markov chain Monte-Carlo sampler for inferring species trees, divergence dates,
and population sizes. We report results from simulation experiments and from an
analysis of 1997 amplified fragment length polymorphism (AFLP) loci in 69
individuals sampled from six species of {\em Ourisia} (New Zealand native
foxglove)
Extensions of a New Algorithm for the Numerical Solution of Linear Differential Systems on an Infinite Interval
This paper is part of a series of papers in which the asymptotic theory and
appropriate symbolic computer code are developed to compute the asymptotic
expansion of the solution of an n-th order ordinary differential equation. The
paper examines the situation when the matrix that appears in the Levinson
expansion has a double eigenvalue. Application is made to a fourth-order ODE
with known special function solution
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