25 resultados para GLOBALLY HYPERBOLIC SPACETIMES


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Multi-element analyses of sediment samples from the Santos-Cubatão Estuarine System were carried out to investigate the spatial and seasonal variability of trace-element concentrations. The study area contains a rich mangrove ecosystem that is a habitat for tens of thousands of resident and migratory birds, some of them endangered globally. Enrichments of metals in fine-grained surface sediments are, in decreasing order, Hg, Mn, La, Ca, Sr, Cd, Zn, Pb, Ba, Cu, Cr, Fe, Nb, Y, Ni and Ga, relative to pre-industrial background levels. The maximum enrichment ranged from 49 (Hg) to 3.1 (Ga). Mercury concentrations were greater in the Cubatão river than in other sites, while the other elements showed greater concentrations in the Morrão river. Concentrations of Mn were significantly greater in winter and autumn than in summer and spring. However, other elements (e.g. Cd and Pb) showed the opposite, with greater concentrations in summer and spring. This study suggests that seasonal changes in physical and chemical conditions may affect the degree of sediment enrichment and therefore make the assessment of contamination difficult. Consequently, these processes need to be considered when assessing water quality and the potential contamination of biota.

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A new semi-quantitative metrics, Green Star (GS), for evaluation of the global greenishness of chemical reactions used in teaching laboratories has been developed. Its aim is to help choosing the more acceptable reactions for implementing Green Chemistry (GC) and to identify suitable modifications of reaction protocols to improve the greenishness of chemistry. GS considers globally all the Twelve Principles of GC. To illustrate its construction, the tetraamminecopper(II) sulfate monohydrate laboratory synthesis, performed under several sets of conditions to pursue greenishness, is presented. A comparative study with other GC metrics showed the advantages of GS and that it accomplishes its purpose.

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New semi-quantitative metrics for simple evaluation of global greenness of chemical reactions used in teaching laboratories, namely, the Green Circle (GC) and Green Matrix (GM), were developed. These metrics globally consider all Twelve Principles of Green Chemistry. To illustrate their construction, the greenness of several syntheses performed in the laboratory under different sets of conditions was assessed. The tools were validated by comparing the results with another metric, the Green Star (GS), developed in our previous study. Results showed these new metrics were useful for the intended purpose, having the advantage of being simpler than the GS.

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The present article provides an overview of the Globally Harmonised System of Classification, Labelling and Packaging of Chemicals (GHS) and its implementation in Brazil. Although Classification and Packaging is beyond the scope of the responsibility of academic chemists, labelling of chemicals used in academic laboratories will be required by the competent authorities to ensure the safety of students and staff. Therefore, academic teachers and researchers responsible should be familiarised with the GHS principles outlined here and at least be able to label, by applying these principles, mixtures of substances previously classified by the competent authorities.

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Typically hundreds of different chemical products stored in small flasks which cannot accommodate labels large enough to bear all information required by the Globally Harmonised System of Classification, Labelling and Packaging of Chemicals (GHS) are used in academic laboratories. To overcome this restriction Brazilian legislation permits communication of the dangers of chemical products to trained laboratory workers/students by alternative means. Here we describe an alternative label system, developed by the German Social Accident Insurance (DGUV), which allows hazard communication to trained workers/students via a labelling system, using pictograms and highly condensed hazard statements to alert about dangerous chemical products.

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In an article recently published in Química Nova, entitled "Chemistry Without Borders" ("Química Sem Fronteiras") [Pinto, A. C.; Zucco, C.; Galembeck, F.; Andrade, J. B.; Vieira, P. C. Quim. Nova 2012, 35, 2092], the authors highlighted the important aspects of science and technology with special emphasis on the field of Chemistry and its contributions toward a more prosperous Brazil of future. As a second step in that direction, this article extends the discussion of a key issue for the country in the framework of the chemistry community through the so called position papers in strategic areas. This document is a part of the contribution of the Brazilian Chemical Society to the World Science Forum to be held in Rio de Janeiro in November 2013. In this context, the present paper provides a brief discussion on neglected tropical diseases (NTDs) with emphasis on the current challenges and opportunities towards the development and evolution of the field. NTDs leads to illness, long-term disability or death, and has severe social, economic and psychological consequences for millions of men, women, and children worldwide. In most cases, the available treatments are inadequate and extremely limited in terms of efficacy and safety, leading to an urgent demand for new drugs. In addition to the traditional challenges involved in any drug discovery process, it is widely recognized that there is an innovation gap and a lack of investment for research and development (R&D) in the area of NTDs. In the last few decades, methods toward combating, eradication, prevention, and treatment of NTDs have been repeatedly emphasized in the major international agendas. Developments in these strategies and alliances have continued to have an essential impact, particularly in the area of drug discovery, both in Brazil and globally and should be encouraged and supported. Several examples of international activities dedicated to the reduction of the devastating global impact of NTDs can be provided. Despite the beneficial developments in the past 30 years, NTDs continue to devastate poor communities in remote and vulnerable areas, in large part, due to market failures and public policies. Recent studies have shown that among 756 new drugs approved between 2000 and 2011, only four new chemical entities (NCEs) were identified for the treatment of malaria, while none were developed against NTDs or tuberculosis. Furthermore, only 1.4% of approximately 150,000 clinical trials were registered for neglected diseases, with a smaller number of trials for NCEs. Establishment and strengthening of global strategies involving the triad "government-academia-industry" is fundamental to the success in R&D of new drugs for NTDs. National and international public-private initiatives that aim to create, encourage, and invest in R&D projects have been implemented and therefore are of utmost importance to successfully integrate Brazil into this new paradigm. It is essential to lay the foundation for mechanisms that will intensify investments in infrastructure, training, and qualification of personnel with an ultimate strategic vision that foresees continuity. Our research group has made significant contributions to the development of this field with the goal of forging new frontiers while tackling both current and future challenges that include indispensable elements such as innovation and integration.

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Reservoir geochemistry has been effectively used to evaluate compositional heterogeneity in petroleum reservoirs by employing oil fingerprinting technique to assess reservoir continuity, primarily in paraffin oil accumulations. In-reservoir biodegradation has resulted in vast deposits of heavy oils globally; therefore, the application of reservoir geochemistry to such accumulations becomes necessary. We recommend the use of pentacyclic terpanes instead of lower molecular compounds, which are less resistant to biodegradation. Using oil fingerprinting technique in this novel way enabled the differentiation of oil composition among sedimentary facies of tar sands (Pirambóia Formation, Paraná Basin).

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Some properties of generalized canonical systems - special dynamical systems described by a Hamiltonian function linear in the adjoint variables - are applied in determining the solution of the two-dimensional coast-arc problem in an inverse-square gravity field. A complete closed-form solution for Lagrangian multipliers - adjoint variables - is obtained by means of such properties for elliptic, circular, parabolic and hyperbolic motions. Classic orbital elements are taken as constants of integration of this solution in the case of elliptic, parabolic and hyperbolic motions. For circular motion, a set of nonsingular orbital elements is introduced as constants of integration in order to eliminate the singularity of the solution.

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Emex australis and E. spinosa are significant weed species in wheat and other crops. Information on the extent of competition of the Emex species will be helpful to access yield losses in wheat. Field experiments were conducted to quantify the interference of tested weed densities each as single or mixture of both at 1:1 on their growth and yield, wheat yield components and wheat grain yield losses in two consecutive years. Dry weight of both weed species increased from 3-6 g m-2 with every additional plant of weed, whereas seed number and weight per plant decreased with increasing density of either weed. Both weed species caused considerable decrease in yield components like spike bearing tillers, number of grains per spike, 1000-grain weight of wheat with increasing density population of the weeds. Based on non-linear hyperbolic regression model equation, maximum yield loss at asymptotic weed density was estimated to be 44 and 62% with E. australis, 56 and 70% with E. spinosa and 63 and 72% with mixture of both species at 1:1 during both year of study, respectively. It was concluded that E. spinosa has more competition effects on wheat crop as compared to E. australis.

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Motivated by a recently proposed biologically inspired face recognition approach, we investigated the relation between human behavior and a computational model based on Fourier-Bessel (FB) spatial patterns. We measured human recognition performance of FB filtered face images using an 8-alternative forced-choice method. Test stimuli were generated by converting the images from the spatial to the FB domain, filtering the resulting coefficients with a band-pass filter, and finally taking the inverse FB transformation of the filtered coefficients. The performance of the computational models was tested using a simulation of the psychophysical experiment. In the FB model, face images were first filtered by simulated V1- type neurons and later analyzed globally for their content of FB components. In general, there was a higher human contrast sensitivity to radially than to angularly filtered images, but both functions peaked at the 11.3-16 frequency interval. The FB-based model presented similar behavior with regard to peak position and relative sensitivity, but had a wider frequency band width and a narrower response range. The response pattern of two alternative models, based on local FB analysis and on raw luminance, strongly diverged from the human behavior patterns. These results suggest that human performance can be constrained by the type of information conveyed by polar patterns, and consequently that humans might use FB-like spatial patterns in face processing.