Offshore monopile in the southern North Sea: Part I, calibrated input sea state

Safe, reliable access is an essential precondition for the successful maintenance of offshore wind farms. Access from vessels to wind turbines depends on the severity of the sea state in the vicinity of the turbine support structure. This paper presents a validation of a numerical boundary condition developed to reproduce the seasonal sea state at Teesside Offshore Wind Farm, off the coast of the UK. The boundary condition, called customSpectrum, was derived from wave energy spectra obtained by analysis of existing field measurements of wave free-surface displacement at the wind farm site and implemented in OpenFoam, the open-source computational fluid dynamics library. OpenFoam was then used to simulate typical spring, summer, autumn and winter sea states as uni-directional waves. Predicted surface elevations and significant wave heights were found to be in agreement with in situ buoy data, thus validating the OpenFoam model. Satisfactory agreement was achieved between analytical and numerically predicted spectral density functions for the horizontal and vertical water particle velocity components. It was found that the wave activity at Teesside is uni-modal in spring and autumn, and bi-modal in summer and winter. Extending the procedure to multi-directional waves in crossing seas is recommended

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 research.Peer reviewe

Absorption et toxicité cutanées de l'ypérite (pré-validation d'un modèle ex-vivo d'étude de la pénétration percutanée)

LYON1-BU Santé (693882101) / SudocSudocFranceF

Inferring biadditive models within the Bayesian paradigm

So called biadditive models (most commonly known as Ammi models for additive main effect and multiplicative interaction) are frequently used to interpret the main traits of two ways data, for instance for the interpretation of genotype by environment interactions. Linked with PCA technics, they provide efficient empirical descriptions of matrix structures. The use of Bayesian approaches in statistical analysis in increasing for many statistical models due to the new computer capacities and the existence of specialized algorithms to draw into posterior distributions. Some work was already presented to deal with biadditive models in a Bayesian way. Here, we consider the point, proposing a new solution directly on the overparam eterized model which allows one the use of standard softwares, for instance bugs implementations. We first give a detailed presentation of our proposal and then apply it to a real data set coming from the litterature, focusing on the interpretation. In the appendix, the proposal to deal with overparameterized models is developped for any type of models

Synthesis of phosphorus analogs of TSAO-T

International audiencePhosphorus Analogs of TSAO bearing an oxaphospholene ring instead of an oxathiole dioxide ring at C-3' position were prepared. Strategy developed previously on saccharidic moiety was used with introduction of an electron withdrawing alpha group neighboring the phosphorus atom. Biological evaluation on both HIV-1 and HCV showed that these compounds have no activity. (C) 2018 Published by Elsevier Ltd

Sorption of G-agent simulant vapours on human scalp hair

International audienc

Hair analysis as a useful procedure for detection of vapour exposure to chemical warfare agents: simulation of sulphur mustard with methyl salicylate

18th Ccongress of the Society of Hair Testing (SoHT), Geneva, SWITZERLAND, AUG 28-30, 2013International audienceChemical warfare agents (CWA) are highly toxic compounds which have been produced to kill or hurt people during conflicts or terrorist attacks. Despite the fact that their use is strictly prohibited according to international convention, populations' exposure still recently occurred. Development of markers of exposure to CWA is necessary to distinguish exposed victims from unexposed ones. We present the first study of hair usage as passive sampler to assess contamination by chemicals in vapour form. This work presents more particularly the hair adsorption capacity for methyl salicylate used as a surrogate of the vesicant sulphur mustard. Chemical vapours toxicity through the respiratory route has historically been defined through Haber's law's concentration-time (Ct) product, and vapour exposure of hair to methyl salicylate was conducted with various times or doses of exposure in the range of incapacitating and lethal Ct products corresponding to sulphur mustard. Following exposure, extraction of methyl salicylate from hair was conducted by simple soaking in dichloromethane. Methyl salicylate could be detected on hair for vapour concentration corresponding to about one fifth of the sulphur mustard concentration that would kill 50% of exposed individuals (LCt50). The amount of methyl salicylate recovered from hair increased with time or dose of exposure. It showed a good correlation with the concentration-time product, suggesting that hair could be used like a passive sampler to assess vapour exposure to chemical compounds. It introduces great perspectives concerning the use of hair as a marker of exposure to CWA. Copyright (c) 2014 John Wiley & Sons, Ltd

Preparation of Spiro[4.4]oxaphospholene and -azaphospholene Systems from Carbohydrate Templates

Introduction of a spiro-phosphorus cycle in position 3 of monosaccharidic derivatives was studied starting from cyanohydrin or aminonitrile <b>A</b>. A two-step procedure involving (i) phosphonylation and (ii) carbanion-mediated phosphonate intramolecular cyclization (denoted CPIC) was used. The necessity of having an electron-withdrawing group α to the phosphorus atom in order to avoid undesired reactions was demonstrated