229 research outputs found
Phylogenetic relationships of Chanidae (Teleostei: Gonorynchiformes) as impacted by Dastilbe moraesi, from the Sanfranciscana basin, Early Cretaceous of Brazil
Fossil gonorynchiform fishes range from the Lower Cretaceous to the early Miocene, and are represented by a few dozen living
species. The order is currently divided into two major clades: Gonorynchoidei, which includes the families Gonorynchidae
and Kneriidae, and Chanoidei, encompassing a single family, Chanidae, with a single recent species, the Indo-Pacific Chanos
chanos, and several fossil taxa. Chanidae includes some poorly known taxa, such as Dastilbe moraesi, described from the
Aptian (Lower Cretaceous) of the Areado Formation, Sanfranciscana basin, Brazil. This species is currently considered to be
a junior synonym of the type species of its genus, Dastilbe crandalli, from Santana Formation, Aptian, northeastern Brazil.
The analysis of abundant D. moraesi specimens revealed several new morphological features, many of which had previously
been misinterpreted. Dastilbe moraesi was incorporated into a gonorynchiform character matrix as revised and modified for
the Chanidae. We obtained a single most parsimonious tree in which D. moraesi is distinct and phylogenetically apart from D.
crandalli. According our analysis, D. moraesi forms a sister pair with Chanos, a clade which is closely related to Tharrhias,
all composing the tribe ChaniniGonorynchiformes fósseis ocorrem desde do Cretáceo inferior ao Mioceno inferior, e são representados por alguns
representantes viventes. A ordem está dividida atualmente em dois clados principais: Gonorynchoidei, que inclui as famílias
Gonorynchidae e Kneriidae, e Chanoidei, compreendendo uma única família, Chanidae, com uma única espécie vivente,
Chanos chanos, do Indo-Pacífico, além de vários representantes fósseis. Chanidae inclui alguns táxons problemáticos,
tais como Dastilbe moraesi, descrito do Aptiano (Cretáceo Inferior) da Formação Areado, bacia Sanfranciscana, Brasil.
Esta espécie é atualmente considerada um sinônimo júnior da espécie-tipo de seu gênero, Dastilbe crandalli, da Formação
Santana, Aptiano do nordeste do Brasil. A análise de abundante material de D. moraesi revelou várias novas características
anatômicas, muitas das quais haviam sido previamente mal interpretadas. Dastilbe moraesi foi incorporado em uma matriz
revisada de caracteres da família Chanidae. Nós obtivemos uma única árvore mais parcimoniosa na qual D. moraesi é distinto
e filogeneticamente distante de D. crandalli. De acordo com nossa análise, D. moraesi é o grupo-irmão de Chanos, um clado
intimamente relacionado a Tharrhias, com todos compondo a tribo ChaniniThis study was supported by CNPq (process # 401818/2010-1) and
project CGL2013-42643P, Ministerio de Ciencia e Innovación de Españ
Obtaining high purity silica from rice hulls
Many routes for extracting silica from rice hulls are based on direct calcining. These methods, though, often produce silica contaminated with inorganic impurities. This work presents the study of a strategy for obtaining silica from rice hulls with a purity level adequate for applications in electronics. The technique is based on two leaching steps, using respectively aqua regia and Piranha solutions, which extract the organic matrix and inorganic impurities. The material was characterized by Fourier-transform infrared spectroscopy (FTIR), powder x-ray diffraction (XRD), x-ray fluorescence (XRF), scanning electron microscopy (SEM), particle size analysis by laser diffraction (LPSA) and thermal analysis
A integração das disciplinas de geometria gráfica na engenharia civil através das tecnologias computacionais / The integration of graphic geometry disciplines in civil engineering through computational technologies
O presente trabalho apresenta os resultados parciais da pesquisa em desenvolvimento que visa à melhoria do ensino e da aprendizagem das disciplinas de Geometria Gráfica do básico das Engenharias (Área II) e no curso de Engenharia Civil na Universidade Federal de Pernambuco através do desenvolvimento de metodologias de ensino e da integração do conteúdo destas disciplinas utilizando-se de tecnologias computacionais
Eikonal profile functions and amplitudes for and scattering
The eikonal profile function obtained from the Model of the Stochastic
Vacuum is parametrized in a form suitable for comparison with experiment. The
amplitude and the extended profile function (including imaginary and real
parts) are determined directly from the complete pp and p elastic
scattering data at high energies. Full and accurate representation of the data
is presented, with smooth energy dependence of all parameters. The changes
needed in the original profile function required for description of scattering
beyond the forward direction are described.Comment: Latex, 28 pages and 16 figure
Effect of physical exercise on muscle strength in adults following bariatric surgery : a systematic review and meta-analysis of different muscle strength assessment tests
Individuals following bariatric surgery are considered at high risk for the development of sarcopenic obesity (excess fat mass, low muscle mass and low physical function), and exercise may play an important role in its prevention and treatment. We systematically reviewed 5 scientific databases (Embase, Medline, Scopus, SPORTDiscus, and Web of Science) and 2 grey literature databases (ProQuest and Google Scholar) for clinical trials that evaluated the effect of exercise on muscle strength in adults following bariatric surgery and conducted a separate meta-analysis for studies that used different muscle strength tests. Random-effect models, restricted maximum likelihood method and Hedges’ g were used. The review protocol was registered at the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42020152142). Fifteen studies were included (638 patients), none had a low risk of bias, and all were included in at least 1 of the 5 meta-analyses (repetition
maximum [lower and upper limbs], sit-to-stand, dynamometer, and handgrip tests). Exercise interventions improved both upper (effect size, 0.71; 95% CI, 0.41–1.01; I 2 = 0%) and lower (effect size, 1.37; 95% CI, 0.84–1.91; I2 = 46.14) limb muscle strength, as measured by repetition maximum tests. Results were similar for the sit-to-stand (effect size, 0.60; 95% CI, 0.20–1.01; I2 = 68.89%) and dynamometer (effect size, 0.46; 95% CI, 0.06–0.87; I2 =31.03%), but not for the handgrip test (effect size, 0.11; 95% CI, -0.42–0.63; I2 = 73.27%). However, the certainty level of the meta-analyses was very low. Exercise with a resistance training component performed post bariatric surgery may improve muscle strength, which is related to sarcopenic obesity, functional capacity, and mortality risk, therefore should be included in the follow-up
Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration
Network Slicing (NS) is an essential technique extensively used in 5G
networks computing strategies, mobile edge computing, mobile cloud computing,
and verticals like the Internet of Vehicles and industrial IoT, among others.
NS is foreseen as one of the leading enablers for 6G futuristic and highly
demanding applications since it allows the optimization and customization of
scarce and disputed resources among dynamic, demanding clients with highly
distinct application requirements. Various standardization organizations, like
3GPP's proposal for new generation networks and state-of-the-art 5G/6G research
projects, are proposing new NS architectures. However, new NS architectures
have to deal with an extensive range of requirements that inherently result in
having NS architecture proposals typically fulfilling the needs of specific
sets of domains with commonalities. The Slicing Future Internet Infrastructures
(SFI2) architecture proposal explores the gap resulting from the diversity of
NS architectures target domains by proposing a new NS reference architecture
with a defined focus on integrating experimental networks and enhancing the NS
architecture with Machine Learning (ML) native optimizations, energy-efficient
slicing, and slicing-tailored security functionalities. The SFI2 architectural
main contribution includes the utilization of the slice-as-a-service paradigm
for end-to-end orchestration of resources across multi-domains and
multi-technology experimental networks. In addition, the SFI2 reference
architecture instantiations will enhance the multi-domain and multi-technology
integrated experimental network deployment with native ML optimization,
energy-efficient aware slicing, and slicing-tailored security functionalities
for the practical domain.Comment: 10 pages, 11 figure
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