14 research outputs found
Variations of Li and Mg isotope ratios in bulk chondrites and mantle xenoliths
Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Geochimica et Cosmochimica Acta 75 (2011): 5247-5268, doi:10.1016/j.gca.2011.06.026.We present whole rock Li and Mg isotope analyses of 33 ultramafic xenoliths from
the terrestrial mantle, which we compare with analyses of 30 (mostly chondritic)
meteorites. The accuracy of our new Mg isotope ratio measurement protocol is
substantiated by a combination of standard addition experiments, the absence of mass
independent effects in terrestrial samples and our obtaining identical values for rock
standards using 2 different separation chemistries and 3 different mass-spectrometric
introduction systems. Carbonaceous, ordinary and enstatite chondrites have
irresolvable mean stable Mg isotopic compositions (δ25Mg = -0.14 ± 0.06; δ26Mg = -
0.27 ± 0.12‰, 2sd), but our enstatite chondrite samples have lighter δ7Li (by up to
~3‰) than our mean carbonaceous and ordinary chondrites (3.0 ± 1.5‰, 2sd),
possibly as a result of spallation in the early solar system. Measurements of
equilibrated, fertile peridotites give mean values of δ7Li = 3.5 ± 0.5‰, δ25Mg = -0.10
± 0.03‰ and δ26Mg = -0.21 ± 0.07‰. We believe these values provide a useful
estimate of the primitive mantle and they are within error of our average of bulk
carbonaceous and ordinary chondrites. A fuller range of fresh, terrestrial, ultramafic
samples, covering a variety of geological histories, show a broad positive correlation
between bulk δ7Li and δ26Mg, which vary from -3.7 to +14.5‰, and -0.36 to +0.06‰,
respectively. Values of δ7Li and δ26Mg lower than our estimate of primitive mantle
are strongly linked to kinetic isotope fractionation, occurring during transport of the
mantle xenoliths. We suggest Mg and Li diffusion into the xenoliths is coupled to H loss from nominally anhydrous minerals following degassing. Diffusion models
suggest that the co-variation of Mg and Li isotopes requires comparable diffusivities
of Li and Mg in olivine. The isotopically lightest samples require ~5-10 years of
diffusive ingress, which we interpret as a time since volatile loss in the host magma.
Xenoliths erupted in pyroclastic flows appear to have retained their mantle isotope
ratios, likely as a result of little prior degassing in these explosive events. High δ7Li,
coupled with high [Li], in rapidly cooled arc peridotites may indicate that these
samples represent fragments of mantle wedge that has been metasomatised by heavy,
slab-derived fluids. If such material is typically stirred back into the convecting
mantle, it may account for the heavy δ7Li seen in some oceanic basalts.PPvS was supported
by NERC grant NER/C510983/
Core Formation and Mantle Differentiation on Mars
info:eu-repo/semantics/publishe
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press