Влияние литологии на перераспределение метана в угленосной толще

Розглянутий вплив літології на перерасподіл метану у вугільних пластах на шахтах Красноармійського району Донбасу.The influence of litology on methane re-distribution in coal beds on the mines of Krasnoarmeysk region of Donbas were considered

Superstolide A : a potent cytotoxic macrolide of a new type from the New Caledonian deep water marine sponge Neosiphonia superstes

A highly cytotoxic macrolide, superstolide A (1), has been isolated from the deep water marine sponge Neosiphonia superstes, collected off New Caledonia. The gross structure was determined by extensive 2D NMR experiments on the lactone 1 and on its opened-ring-derived methyl esters 2 and 3. The relative stereochemistries of the decaline moiety and of the C22-C26 fragment were determined by a combination of NMR data and acetonide analysis on 2. Absolute stereostructure of the decaline portion of 1 has been determined on the basis of GLC-modified Horeau's methodology applied to 4, whereas the results of the application of the modified Mosher's method to 1 and 3 allowed us to propose for the C22-C26 fragment the 22R, 23R, 24R, 25S, 26R configuration. We also propose the solution conformations of superstolide A (1) based on molecular dynamics and mechanics calculations using NMR-derived constraints

Metabolites of the new Caledonian sponge Cladocroce incurvata

The deep-water New Caledonian sponge #Cladocroce incurvata$ contains two "polyketide" metabolites. Cladocrocin A (1) appears to be derived from fatty acid with ethyl side chains, thus incorporating butyrate units. Cladocroic acid (2) is a straight chain fatty acid which incorporates a terminal enyne functionality and a cycloproprane ring directly attached to the carboxylic acid function. The structures were elucidated by interpretation of spectral data, and the cis stereochemistry of the cyclopropane ring in cladocroic acid (2) was derived after the synthesis of cis - and trans - 2, 3 - methanohexanoic acid models and nmr spectral comparisons. (Résumé d'auteur

Integrating heterogeneous information within a social network for detecting communities

International audienceAttributed graphs can be described using two dimensions: first a structural dimension that contains the social graph, e.g. the actors and the relationships between them, and second a compositional dimension describing the actors, e.g. their profile, their textual publications, the metadata of the videos they share, etc. Each of these dimensions can be used to explain different phenomena occurring on the social network, whether from a connectivity or an thematic perspective. This paper claims that the integration of both dimensions would allow researchers to analyze real social networks from different perspectives. We present here a novel approach to the community detection problem with the integration of the two dimensions composing an attributed graph. We show how to integrate but also how to control the integration of two different partitions, one based on the links, the other one based on the attributes. The resulting partition exhibits interesting properties, such as dense and homogeneous groups of actors, revealing new types of communities to the analyst. Because we use a contingency matrix, and because the analyst may invent new ways of combining rows and columns, we open new perspectives for the exploration of attributed social networks

A global spectral library to characterize the world's soil

Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for future generations. To this end, we developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library. It is currently the largest and most diverse database of its kind. We show that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability. We also show the usefulness of the global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity, and pH. Using wavelets to treat the spectra, which were recorded in different laboratories using different spectrometers and methods, helped to improve the spectroscopic modelling. We found that modelling a diverse set of spectra with a machine learning algorithm can find the local relationships in the data to produce accurate predictions of soil properties. The spectroscopic models that we derived are parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, which might serve to facilitate research on soil at the global scale. This spectroscopic approach should help to deal with the shortage of data on soil to better understand it and to meet the growing demand for information to assess and monitor soil at scales ranging from regional to global. New contributions to the library are encouraged so that this work and our collaboration might progress to develop a dynamic and easily updatable database with better global coverage. We hope that this work will reinvigorate our community's discussion towards larger, more coordinated collaborations. We also hope that use of the database will deepen our understanding of soil so that we might sustainably manage it and extend the research outcomes of the soil, earth and environmental sciences towards applications that we have not yet dreamed of

Supramolecular hybrid structures and gels from host-guest interactions between alpha-cyclodextrin and PEGylated organosilica nanoparticles

Polypseudorotaxanes are polymer chains threaded by molecular rings that are free to unthread; these "pearl-necklace" can self-assemble further, leading to higher-order supramolecular structures with interesting functionalities. In this work, the complexation between alpha-cyclodextrin (alpha-CD), a cyclic oligosaccharide of glucopyranose units, and poly(ethylene glycol) (PEG) grafted to silica nanoparticles was studied. The threading of alpha-CD onto the polymeric chains leads to their aggregation into bundles, followed by either the precipitation of the inclusion complex or the formation of a gel phase, in which silica nanoparticles are incorporated. The kinetics of threading, followed by turbidimetry, revealed a dependence of the rate of complexation on the following parameters: the concentration of alpha-CD, temperature, PEG length (750, 4000, and 5000 g mol(-1)), whether the polymer is grafted or free in solution, and the density of grafting. Complexation is slower, and temperature has a higher impact on PEG grafted on silica nanoparticles compared to PEG free in solution. Thermodynamic parameters extracted from the transition-state theory showed that inclusion complex formation is favored with grafted PEG compared to free PEG and establishes a ratio of complexation of five to six ethylene oxide units per cyclodextrin. The complexation yields, determined by gravimetry, revealed that much higher yields are obtained with longer chains and higher grafting density

Characterizing the Epidemiology of the 2009 Influenza A/H1N1 Pandemic in Mexico

Gerardo Chowell and colleagues address whether school closures and other social distancing strategies were successful in reducing pandemic flu transmission in Mexico by analyzing the age- and state-specific incidence of influenza morbidity and mortality in 32 Mexican states