35 research outputs found

    Undrained expansion of a cylindrical cavity in clays with fabric anisotropy: theoretical solution

    Get PDF
    This paper presents a novel, exact, semi-analytical solution for the quasi-static undrained expansion of a cylindrical cavity in soft soils with fabric anisotropy. This is the first theoretical solution of the undrained expansion of a cylindrical cavity under plane strain conditions for soft soils with anisotropic behaviour of plastic nature. The solution is rigorously developed in detail, introducing a new stress invariant to deal with the soil fabric. The semianalytical solution requires numerical evaluation of a system of six first-order ordinary differential equations. The results agree with finite element analyses and show the influence of anisotropic plastic behaviour. The effective stresses at critical state are constant, and they may be analytically related to the undrained shear strength. The initial vertical cross-anisotropy caused by soil deposition changes towards a radial cross-anisotropy after cavity expansion. The analysis of the stress paths shows that proper modelling of anisotropic plastic behaviour involves modelling not only the initial fabric anisotropy but also its evolution with plastic straining.The research was initiated as part of GEO-INSTALL (Modelling Installation Effects in Geotechnical Engineering, PIAP-GA-2009-230638) and CREEP (Creep of Geomaterials, PIAP-GA-2011-286397) projects supported by the European Community through the programme Marie Curie Industry-Academia Partnerships and Pathways (IAPP) under the 7th Framework Programme

    Phenotypic and transcriptomic characterization of canine myeloid-derived suppressor cells

    Get PDF
    Myeloid-derived suppressor cells (MDSCs) are key players in immune evasion, tumor progression and metastasis. MDSCs accumulate under various pathological states and fall into two functionally and phenotypically distinct subsets that have been identified in humans and mice: polymorphonuclear (PMN)-MDSCs and monocytic (M)-MDSCs. As dogs are an excellent model for human tumor development and progression, we set out to identify PMN-MDSCs and M-MDSCs in clinical canine oncology patients. Canine hypodense MHC class II-CD5-CD21-CD11b+ cells can be subdivided into polymorphonuclear (CADO48A+CD14-) and monocytic (CADO48A-CD14+) MDSC subsets. The transcriptomic signatures of PMN-MDSCs and M-MDSCs are distinct, and moreover reveal a statistically significant similarity between canine and previously published human PMN-MDSC gene expression patterns. As in humans, peripheral blood frequencies of canine PMN-MDSCs and M-MDSCs are significantly higher in dogs with cancer compared to healthy control dogs (PMN-MDSCs: p < 0.001; M-MDSCs: p < 0.01). By leveraging the power of evolution, we also identified additional conserved genes in PMN-MDSCs of multiple species that may play a role in MDSC function. Our findings therefore validate the dog as a model for studying MDSCs in the context of cancer

    Editorial Introduction

    No full text

    Analysis of the interaction of substituted coumarins with DPPH free radical by means of multivariate statistics

    No full text
    The interaction of some substituted coumarin derivatives with the stable 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical was analysed by means of multivariate statistics using a variety of molecular descriptors. The compounds contain a conjugated double bond system, which was considered to be an essential structural characteristic for the free-radical scavenging activity. Partial least-square analysis led to an adequate two-component model based on bulk descriptors and the electronic properties concerning atoms involved or next to the double-bond systems. © 2004 The Authors Recieved

    Anniversary conference report

    No full text

    Different retention behavior of structurally diverse basic and neutral drugs in immobilized artificial membrane and reversed-phase high performance liquid chromatography: Comparison with octanol-water partitioning

    No full text
    The retention behavior of 43 structurally diverse neutral and basic drugs in immobilized artificial membrane chromatography was investigated and compared to the reversed-phase retention and octanol-water partitioning. IAM chromatography was performed using morpholinepropanesulfonic acid (MOPS) or phosphate buffer saline (PBS) at pH 7.4 as the aqueous component of the mobile phase. The differences in the retention factors were attributed to increased electrostatic interactions in the MOPS environment, dependent on the fraction of charged species. Electrostatic interactions were found to play a key role in the relationships with reversed-phase retention factors determined under two different mobile phase conditions as well as in the relationships with lipophilicity data. IAM retention factors correlated better with octanol-water partition coefficients log P than with log D7.4, as a result of the contribution of electrostatic forces in IAM retention. With log D7.4 the relationships were improved when the fraction of charged species was taken into consideration. In any case the regression coefficient of log P or log D7.4 was considerably lower than 1 reflecting the reduced hydrophobic environment of the IAM stationary phase. The different data sets were submitted to principal component analysis for further exploration of their similarities/dissimilarities. © 2006 Elsevier B.V. All rights reserved

    Modelling of aldose reductase inhibitory activity of pyrrol-1-yl-acetic acid derivatives by means of multivariate statistics.

    No full text
    The inhibition of the aldose reductase enzyme (AR) is considered to be a promising approach to control chronic diabetes complications as well as a number of other pathological conditions. Thus considerable efforts are devoted to the development of aldose reductase inhibitors (ARIs) as possible pharmacotherapeutic agents. The establishment of adequate QSAR models would serve to this purpose. In the present study multivariate statistics was applied in order to analyse the AR inhibitory activity data of twenty three pyrrol-1-yl-acetic acid derivatives on the basis of essential molecular descriptors. The compounds contain one or two carbonyl keto groups, which serve as a bridge to link the pyrrole moiety to aromatic nuclei with or without further substitution. An adequate one component model with satisfactory statistics was obtained and validated for its robustness and predictive ability. The influence of the different descriptors in ARI activity is discussed. The derived model was further used to predict the activity of four independent compounds and the contribution of their specific structural characteristics in ARI activity was evaluated

    Factors affecting expected stock returns: evidence from the secondary and tertiary sectors of the Athens stock exchange

    No full text
    The present study investigates the effect of systematic risk, size and value on the returns of stocks of the secondary and the tertiary sector of the Athens Stock Exchange. The holdout sample is divided in two sub-samples, for the period 1997–2006. The methodology employed is the time-series approach and the Capital Asset Pricing Model (CAPM) and the Fama and French Three Factor Model are applied. Monthly returns on portfolios of stocks are regressed against the returns of a market portfolio of stocks and mimicking portfolios for size and book-to-market equity. The results seem to be supportive of the 3FM model in both sectors. The 3FM has significant power in capturing the variation of average stock returns. Furthermore, it yields more precise estimates as compared to the CAPM. However, the results of the empirical tests agree that these three factors do not constitute a parsimonious set of explanatory variables.asset pricing models; Fama and French; Three Factor Model; CAPM; Capital Asset Pricing Model; Athens Stock Exchange; expected stock returns.
    corecore