63 research outputs found
The Keck Carbon Cycle AMS Laboratory, University of California, Irvine : status report
Author Posting. © The Authors. This work is licensed under a Creative Commons Attribution 3.0 License The definitive version was published in Radiocarbon 52 (2010): 301-309.We present a status report of the accelerator mass spectrometry (AMS) facility at the University of California,
Irvine, USA. Recent spectrometer upgrades and repairs are discussed. Modifications to preparation laboratory procedures
designed to improve sample throughput efficiency while maintaining precision of 2–3‰ for 1-mg samples (Santos et al.
2007c) are presented
Mass balance of nitrogen and phosphorus in an agricultural watershed : the shallow groundwater component
Partially funded by the Water Quality Strategic Research Initiative, Council on Food and Agricultural ResearchOpe
A Tradeoff Drives the Evolution of Reduced Metal Resistance in Natural Populations of Yeast
Various types of genetic modification and selective forces have been implicated
in the process of adaptation to novel or adverse environments. However, the
underlying molecular mechanisms are not well understood in most natural
populations. Here we report that a set of yeast strains collected from Evolution
Canyon (EC), Israel, exhibit an extremely high tolerance to the heavy metal
cadmium. We found that cadmium resistance is primarily caused by an enhanced
function of a metal efflux pump, PCA1. Molecular analyses
demonstrate that this enhancement can be largely attributed to mutations in the
promoter sequence, while mutations in the coding region have a minor effect.
Reconstruction experiments show that three single nucleotide substitutions in
the PCA1 promoter quantitatively increase its activity and thus
enhance the cells' cadmium resistance. Comparison among different yeast
species shows that the critical nucleotides found in EC strains are conserved
and functionally important for cadmium resistance in other species, suggesting
that they represent an ancestral type. However, these nucleotides had diverged
in most Saccharomyces cerevisiae populations, which gave cells
growth advantages under conditions where cadmium is low or absent. Our results
provide a rare example of a selective sweep in yeast populations driven by a
tradeoff in metal resistance
Establishing a large prospective clinical cohort in people with head and neck cancer as a biomedical resource: head and neck 5000
BACKGROUND: Head and neck cancer is an important cause of ill health. Survival appears to be improving but the reasons for this are unclear. They could include evolving aetiology, modifications in care, improvements in treatment or changes in lifestyle behaviour. Observational studies are required to explore survival trends and identify outcome predictors. METHODS: We are identifying people with a new diagnosis of head and neck cancer. We obtain consent that includes agreement to collect longitudinal data, store samples and record linkage. Prior to treatment we give participants three questionnaires on health and lifestyle, quality of life and sexual history. We collect blood and saliva samples, complete a clinical data capture form and request a formalin fixed tissue sample. At four and twelve months we complete further data capture forms and send participants further quality of life questionnaires. DISCUSSION: This large clinical cohort of people with head and neck cancer brings together clinical data, patient-reported outcomes and biological samples in a single co-ordinated resource for translational and prognostic research
Model selection in historical research using approximate Bayesian computation
Formal Models and History Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The extensive use of formal models allows historians to reevaluate hypotheses formulated decades ago and still subject to debate due to the lack of an adequate quantitative framework. The initiative has the potential to transform the discipline if it solves the challenges posed by the study of historical dynamics. These difficulties are based on the complexities of modelling social interaction, and the methodological issues raised by the evaluation of formal models against data with low sample size, high variance and strong fragmentation. This work examines an alternate approach to this evaluation based on a Bayesian-inspired model selection method. The validity of the classical Lanchester's laws of combat is examined against a dataset comprising over a thousand battles spanning 300 years. Four variations of the basic equations are discussed, including the three most common formulations (linear, squared, and logarithmic) and a new variant introducing fatigue. Approximate Bayesian Computation is then used to infer both parameter values and model selection via Bayes Factors. Results indicate decisive evidence favouring the new fatigue model. The interpretation of both parameter estimations and model selection provides new insights into the factors guiding the evolution of warfare. At a methodological level, the case study shows how model selection methods can be used to guide historical research through the comparison between existing hypotheses and empirical evidence.Funding for this work was provided by the
SimulPast Consolider Ingenio project (CSD2010-00034) of the former Ministry for Science and Innovation of the Spanish Government and the European Research Council Advanced Grant EPNet (340828).Peer ReviewedPostprint (published version
Simulation study of silicon and gaseous tracking detectors
The performance of microstrip gaseous counters (MSGC, MSGC + GEM) and silicon microstrip sensors has been studied in view of their use in high luminosity tracking applications. Simulations of signal development in the detectors and subsequent signal treatment in the readout electronics were performed. The simulation results are compared with experimental data obtained in test beams. © 2002 Elsevier Science B.V. All rights reserved.0SCOPUS: cp.jinfo:eu-repo/semantics/publishe
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