Recomendações para a aplicação de misturas Stone Mastic Asphalt em Portugal

As misturas Stone Mastic Asphalt (SMA) têm adquirido nos últimos anos uma particular aceitação de destaque em Portugal, pelo bom desempenho que apresentam. Contudo, a sua utilização na rede rodoviária nacional nem sempre tem sido acompanhada de um adequado enquadramento regulatório, nomeadamente, no que concerne não só à sua caracterização final, mas também aos materiais utilizados no seu fabrico. Neste estudo apresenta-se uma sumula do âmbito de aplicação das misturas SMA, das propriedades e respetivos limites habitualmente definidos internacionalmente, para os materiais constituintes e respetivas misturas SMA, bem como recomendações relativamente à respetiva escolha para utilização em Portugal.info:eu-repo/semantics/publishedVersio

Chemical composition and in vitro cytotoxicity of Corynespora olivacea (V18) associated with Vochysia divergens/ Composição química e citotoxicidade in vitro de Corynespora olivacea (V18) associada a Vochysia divergens

Chemical investigation into the ethyl acetate extract of the endophytic fungus Corynespora olivacea (V18) associated with Vochysia divergens identified compounds 1 and 2. The compounds were characterized by spectroscopic methods including NMR (1D and 2D) and HRMS. The cytotoxicity of the crude extract and the isolated compounds against normal human lung fibroblast cells, lineage GM07492A, was evaluated by the XTT assay. To the best of our knowledge, this is the first chemical and biological screening of the cytotoxicity of C. olivacea derived from V. divergens

Chemical composition and in vitro cytotoxicity of Corynespora olivacea (V18) associated with Vochysia divergens / Composição química e citotoxicidade in vitro de Corynespora olivacea (V18) associada a Vochysia divergens

Chemical investigation into the ethyl acetate extract of the endophytic fungus Corynespora olivacea (V18) associated with Vochysia divergens identified compounds 1 and 2. The compounds were characterized by spectroscopic methods including NMR (1D and 2D) and HRMS. The cytotoxicity of the crude extract and the isolated compounds against normal human lung fibroblast cells, lineage GM07492A, was evaluated by the XTT assay. To the best of our knowledge, this is the first chemical and biological screening of the cytotoxicity of C. olivacea derived from V. divergens

In Vitro Schistosomicidal Activity of Some Brazilian Cerrado Species and Their Isolated Compounds

Miconia langsdorffii Cogn. (Melastomataceae), Roupala montana Aubl. (Proteaceae), Struthanthus syringifolius (Mart.) (Loranthaceae), and Schefflera vinosa (Cham. & Schltdl.) Frodin (Araliaceae) are plant species from the Brazilian Cerrado whose schistosomicidal potential has not yet been described. The crude extracts, fractions, the triterpenes betulin, oleanolic acid, ursolic acid and the flavonoids quercetin 3-O-beta-D-rhamnoside, quercetin 3-O-beta-D-glucoside, quercetin 3-O-beta-D-glucopyranosyl-(1-2)-alpha-L-rhamnopyranoside and isorhamnetin 3-O-beta-D-glucopyranosyl-(1-2)-alpha-L-rhamnopyranoside were evaluated in vitro against Schistosoma mansoni adult worms and the bioactive n-hexane fractions of the mentioned species were also analyzed by GC-MS. Betulin was able to cause worm death percentage values of 25% after 120 h (at 100 mu M), and 25% and 50% after 24 and 120 h (at 200 mu M), respectively; besides the flavonoid quercetin 3-O-beta-D-rhamnoside promoted 25% of death of the parasites at 100 mu M. Farther the flavonoids quercetin 3-O-beta-D-glucoside and quercetin 3-O-beta-D-rhamnoside at 100 mu M exhibited significantly reduction in motor activity, 75% and 87.5%, respectively. Biological results indicated that crude extracts of R. montana, S. vinosa, and M. langsdorffii and some n-hexane and EtOAc fractions of this species were able to induce worm death to some extent. The results suggest that lupane-type triterpenes and flavonoid monoglycosides should be considered for further antiparasites studies.Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2006/60132-4, 2008/01268-9, 2009/00604-8]Coordenadoria de Aperfeicoamento de Pessoal do Ensino Superior (CAPES)Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the Extended Baryon Oscillation Spectroscopic Survey and from the Second Phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since 2014 July. This paper describes the second data release from this phase, and the 14th from SDSS overall (making this Data Release Fourteen or DR14). This release makes the data taken by SDSS-IV in its first two years of operation (2014–2016 July) public. Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey; the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data-driven machine-learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from the SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS web site (www.sdss.org) has been updated for this release and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020 and will be followed by SDSS-V