A multidisciplinary investigation of Martian atmospheric chemistry

For many years the Mars exploration program has focused on the mantra 'follow the water' as a means of unraveling key questions about the red planet such as whether the surface has ever supported life and what the ancient climate could have been like. However, with discoveries such as the seasonal plume of methane and sulfate-bearing soil, many have now turned to 'follow the chemistry' as being the true way to make progress. It is clear that the interaction of the atmosphere and the lithosphere and any potential biosphere will mark the atmosphere in ways we can only speculate about at present. Currently, there are many proposals for possible missions to monitor trace gases in the Martian atmosphere with a view to studying these possible interactions. The aim of these missions will be to constrain the possible reactions taking place in the Martian system and to finally allow us to begin answering some of these questions. The current project will investigate the chemistry of the Martian atmosphere through laboratory-based simulation and with computational experiments using a Mars General Circulation Model. Plasma discharge experiments have been used with Mars-like gas mixtures to gain insight into the possible reactions occurring in the atmosphere and their rates under different conditions. Eventually these experiments will be scaled up to use in the Open University Mars Simulation Chamber complete with Mars analogue soil and a Solar UV simulator. The data collected will be used in the Mars GCM to investigate how the trace species are transported around the planet from potential surface source regions and calculate their lifetimes and distributions in the atmosphere. It is hoped that these simulations will constrain some of the reactions occurring between trace species in the atmosphere and identify their sources and sinks be they geological or biological in origin. An understanding of the reactions involved is necessary to gain knowledge not just of Mars but other planets in our own solar system and beyond. To identify biosignatures such as ozone and methane on other worlds we must first understand their presence in the Martian system, a system for which detailed, high-resolution observation is possible

RKKY interaction between extended magnetic defect lines in graphene

Of fundamental interest in the field of spintronics is the mechanism of indirect exchange coupling between magnetic impurities embedded in metallic hosts. A range of physical features, such as magnetotransport and overall magnetic moment formation, are predicated upon this magnetic coupling, often referred to as the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction. Recent theoretical studies on the RKKY in graphene have been motivated by possible spintronic applications of magnetically doped graphene systems. In this work a combination of analytic and numerical techniques are used to examine the effects of defect dimensionality on such an interaction. We show, in a mathematically transparent manner, that moving from single magnetic impurities to extended lines of impurities effectively reduces the dimensionality of the system and increases the range of the interaction. This has important consequences for the spintronic application of magnetically-doped and we illustrate this with a simple magnetoresistance device.Comment: 6 pages, 5 figure

A method for exploratory repeated-measures analysis applied to a breast-cancer screening study

When a model may be fitted separately to each individual statistical unit, inspection of the point estimates may help the statistician to understand between-individual variability and to identify possible relationships. However, some information will be lost in such an approach because estimation uncertainty is disregarded. We present a comparative method for exploratory repeated-measures analysis to complement the point estimates that was motivated by and is demonstrated by analysis of data from the CADET II breast-cancer screening study. The approach helped to flag up some unusual reader behavior, to assess differences in performance, and to identify potential random-effects models for further analysis.Comment: Published in at http://dx.doi.org/10.1214/11-AOAS481 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Mammographic breast density: comparison of methods for quantitative evaluation.

PURPOSE: To evaluate the results from two software tools for measurement of mammographic breast density and compare them with observer-based scores in a large cohort of women. MATERIALS AND METHODS: Following written informed consent, a data set of 36 281 mammograms from 8867 women were collected from six United Kingdom centers in an ethically approved trial. Breast density was assessed by one of 26 readers on a visual analog scale and with two automated density tools. Mean differences were calculated as the mean of all the individual percentage differences between each measurement for each case (woman). Agreement in total breast volume, fibroglandular volume, and percentage density was assessed with the Bland-Altman method. Association with observer's scores was calculated by using the Pearson correlation coefficient (r). RESULTS: Correlation between the Quantra and Volpara outputs for total breast volume was r = 0.97 (P < .001), with a mean difference of 43.5 cm(3) for all cases representing 5.0% of the mean total breast volume. Correlation of the two measures was lower for fibroglandular volume (r = 0.86, P < .001). The mean difference was 30.3 cm(3) for all cases representing 21.2% of the mean fibroglandular tissue volume result. Quantra gave the larger value and the difference tended to increase with volume. For the two measures of percentage volume density, the mean difference was 1.61 percentage points (r = 0.78, P < .001). Comparison of observer's scores with the area-based density given by Quantra yielded a low correlation (r = 0.55, P < .001). Correlations of observer's scores with the volumetric density results gave r values of 0.60 (P < .001) and 0.63 (P < .001) for Quantra and Volpara, respectively. CONCLUSION: Automated techniques for measuring breast density show good correlation, but these are poorly correlated with observer's scores. However automated techniques do give different results that should be considered when informing patient personalized imaging. (©) RSNA, 2015 Clinical trial registration no. ISRCTN 73467396.Supported by the National Institute for Health Research’s Health Technology Assessment Programme.This is the final version of the article. It first appeared at http://pubs.rsna.org/doi/full/10.1148/radiol.1414150

Asymptotic and numerical analysis of a simple model for blade coating

Motivated by the industrial process of blade coating, the two-dimensional flow of a thin film of Newtonian fluid on a horizontal substrate moving parallel to itself with constant speed under a fixed blade of finite length in which the flows upstream and downstream of the blade are coupled via the flow under the blade is analysed. A combination of asymptotic and numerical methods is used to investigate the number and nature of the steady solutions that exist. Specially, it is found that in the presence of gravity there is always at least one, and (depending on the parameter values) possibly as many as three, steady solutions, and that when multiple solutions occur they are identical under and downstream of the blade, but differ upstream of it. The stability of these solutions is investigated, and their asymptotic behaviour in the limits of large and small flux and weak and strong gravity effects, respectively, determined

Impact of Screening on Breast Cancer Mortality: The UK Program 20 Years On

This study was funded by a grant from the UK Department of Health (no. 106/0001). The grant was awarded to Prof Stephen W Duffy

Temporal and spatial changes in cartilage-matrix-specific gene expression in mesenchymal stem cells in response to dynamic compression.

Various forms of mechanical stimulation have been shown to enhance chondrogenesis of mesenchymal stem cells (MSCs). However, the response of MSCs undergoing chondrogenesis to such signals has been shown to depend on the temporal application of loading. The objective of this study was to determine the effect of dynamic compression on cartilage-matrix-specific gene expression and to relate this response to the local biochemical environment and cell phenotype at the time of loading. At 0, 7, 14, and 21 days extracellular matrix (ECM) deposition within MSC-seeded agarose hydrogels due to transforming growth factor-β3 stimulation was determined biochemically and histologically, and then reverse transcription-polymerase chain reaction was used to examine the effects of dynamic compression on cartilage-matrix-specific gene expression. The results of these experiments show that the local environment in the core of the constructs is more favorable for chondrogenesis in comparison to the annulus, as evident from both ECM synthesis and gene expression. Additionally, we found that the response of the cells to mechanical stimulus varied with both the spatial region within the constructs and the temporal application of loading. Dynamic compression applied at day 21 was found to enhance levels of cartilage matrix gene expression following a peak in expression levels at day 14 in free swelling constructs, suggesting that mechanical signals play a key role in the maintenance of a chondrogenic phenotype. The application of mechanical stimulus to enhance cartilage ECM synthesis may be an important tool in regenerative medicine-based cartilage repair. The results of this study suggest that a chondrogenic phenotype and/or a well-developed pericellular matrix must first be established before dynamic compression can have a positive effect on cartilage-matrix-specific gene expression

Characterization of VAR2CSA-deficient Plasmodium falciparum-infected erythrocytes selected for adhesion to the BeWo placental cell line

Background. Malaria in pregnancy is characterized by accumulation of infected erythrocytes (IE) in the placenta. The key ligand identified as mediating this process is a Plasmodium falciparum erythrocyte membrane protein 1 family member, termed VAR2CSA. VAR2CSA appears to be the main ligand responsible for adhesion to chondroitin sulphate A (CSA). Whether other PfEMP1 molecules can also mediate placental adhesion, independent of CSA binding, is unclear. Methods. The parasite line CS2 carrying a disrupted var2csa gene (CS2KO) was selected for adhesion to the BeWo choriocarcinoma cell line, which has been proposed as a model for placental malaria. The selected and control IE were tested for adhesion to placental sections and flow cytometry was used to measure recognition of IE by three serum sets from malaria-exposed men and women. Results. Wild-type CS2 adhere to BeWo and placental tissue via CSA. CS2KO IE were successfully selected for adhesion to BeWo, and adhered by a CSA-independent mechanism. They bound to immobilized ICAM-1 and CD36. BeWo-selected CS2KO bound at moderate levels to placental sections, but most binding was to placental villi rather than to the syncytiotrophoblast to which IE adherence occurs in vivo. This binding was inhibited by a blocking antibody to CD36 but not to ICAM-1. As expected, sera from malaria-exposed adults recognized CS2 IE in a gender and parity dependent manner. In one serum set, there was a similar but less pronounced pattern of antibody binding to selected CS2KO IE, but this was not seen in two others. One var gene, It4var19, was particularly abundant in the selected line and was detected as full length transcripts in BeWo-selected IE, but not unselected CS2KO. Conclusion. This study suggests that IE with characteristics similar to the CS2KO have a limited role in the pathogenesis of placental malaria. VAR2CSA appear to be the major ligand for placental adhesion, and could be the basis for a vaccine against pregnancy malaria