Publicações - ciências exatas e da terra
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Christian Gonzalo Pilapanta Amagua;
Cláudia Pereira Krueger
resumo ...
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The largest mass redistribution on the solid Earth's surface occurs as part of the hydrological cycle. These processes load and deform the solid Earth and consequently, an elastic response of the crust is induced. The general approach to predict this response involves the convolution of Green's functions and mass distribution models. Nevertheless, these models together do not conserve their global mass and the estimation of a total response by combining individual phenomena is not self-consistent. To solve this, a passive ocean response commonly is included. In order to study this process and its effects in the positions of geodetic sites, we compare 47 GPS vertical time series belonging to the continuous monitoring GNSS network of Ecuador and their respective loading signals over the last 20 years (2000 – 2020). The results indicate a moderate correlation between all the GPS heights and their loading signals and a reduction in the weighted root mean square (WRMS) in 35 of the 47 stations after filtering the total response, its value being higher in those stations with heights less than 3000 meters.
(pt)
The largest mass redistribution on the solid Earth's surface occurs as part of the hydrological cycle. These processes load and deform the solid Earth and consequently, an elastic response of the crust is induced. The general approach to predict this response involves the convolution of Green's functions and mass distribution models. Nevertheless, these models together do not conserve their global mass and the estimation of a total response by combining individual phenomena is not self-consistent. To solve this, a passive ocean response commonly is included. In order to study this process and its effects in the positions of geodetic sites, we compare 47 GPS vertical time series belonging to the continuous monitoring GNSS network of Ecuador and their respective loading signals over the last 20 years (2000 – 2020). The results indicate a moderate correlation between all the GPS heights and their loading signals and a reduction in the weighted root mean square (WRMS) in 35 of the 47 stations after filtering the total response, its value being higher in those stations with heights less than 3000 meters.
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AMAGUA, CHRISTIAN GONZALO PILAPANTA;
Cláudia Pereira Krueger
Áreas do conhecimento:
Ciências Exatas e da Terra; Geodésia; Fotogrametria
resumo ...
(en)
The largest mass redistribution on the solid Earth's surface occurs as part of the hydrological cycle. These processes load and deform the solid Earth and consequently, an elastic response of the crust is induced. The general approach to predict this response involves the convolution of Green's functions and mass distribution models. Nevertheless, these models together do not conserve their global mass and the estimation of a total response by combining individual phenomena is not self-consistent. To solve this, a passive ocean response commonly is included. In order to study this process and its effects in the positions of geodetic sites, we compare 47 GPS vertical time series belonging to the continuous monitoring GNSS network of Ecuador and their respective loading signals over the last 20 years (2000 – 2020). The results indicate a moderate correlation between all the GPS heights and their loading signals and a reduction in the weighted root mean square (WRMS) in 35 of the 47 stations after filtering the total response, its value being higher in those stations with heights less than 3000 meters.
(pt)
The largest mass redistribution on the solid Earth's surface occurs as part of the hydrological cycle. These processes load and deform the solid Earth and consequently, an elastic response of the crust is induced. The general approach to predict this response involves the convolution of Green's functions and mass distribution models. Nevertheless, these models together do not conserve their global mass and the estimation of a total response by combining individual phenomena is not self-consistent. To solve this, a passive ocean response commonly is included. In order to study this process and its effects in the positions of geodetic sites, we compare 47 GPS vertical time series belonging to the continuous monitoring GNSS network of Ecuador and their respective loading signals over the last 20 years (2000 – 2020). The results indicate a moderate correlation between all the GPS heights and their loading signals and a reduction in the weighted root mean square (WRMS) in 35 of the 47 stations after filtering the total response, its value being higher in those stations with heights less than 3000 meters.
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Claudinei Tarboda da Silveira;
SILVEIRA, RICARDO MICHAEL PINHEIRO;
BORTOLINI, WILLIAN;
ALMEIDA, VICTOR PIEROBOM DE
Palavra-chave:
geomorfometria;
Mapeamento Geomorfológico;
modelo digital do terreno;
Taxonomia geomorfológica;
Classificação do relevo
Áreas do conhecimento:
Ciências Exatas e da Terra; Geografia Física; Pedologia;
Ciências Exatas e da Terra; Geociências; Geografia Física; Geomorfologia
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É proposto e apresentado as unidades de relevo do novo Mapa Geomorfológico do Paraná, que contemplam um avanço na escala e no táxon geomorfológico, cuja representação é por meio de padrões de formas do relevo. O método utilizou um Modelo Digital do Terreno (MDT) para a obtenção de quatro variáveis geomorfométricas: amplitude altimétrica, declividade, média da declividade e índice de posição topográfica, que foram combinadas para a identificação de classes de mapeamento. O cálculo das variáveis foi realizado por meio de janelas móveis, cujo raio de abrangência variou conforme o comprimento médio das vertentes das unidades de relevo. Foram classificados 16 padrões de formas do relevo no mapeamento geomorfológico do estado do Paraná: 1) Colinas Suaves; 2) Colinas; 3) Colinas Onduladas; 4) Feições dissecadas entre colinas; 5) Morrotes; 6) Morros; 7) Morros Dissecados; 8) Morros Elevados; 9) Morros Alongados Estruturais;10) Serras Montanhosas Baixas;11) Serras Montanhosas Altas;12) Serras de Bordas de Planaltos; 13) Patamares Dissecados e Cânions;14) Planície Fluviomarinha; 15) Planície Fluvial e 16) Rampas Coluvionares. Essas unidades de relevo foram compatibilizadas com a escala de representação do quarto táxon geomorfológico, na escala cartográfica 1:100.000. O método foi condizente à escala, às características geomorfológicas, à representação pretendida e, depois de submetido a um conjunto de expedições de campo, no qual foram percorridos cerca de 9000km em vias terrestres, com coleta de 225 pontos amostrais durante um conjunto de viagens de campo, demonstrou fidedignidade com o nível de representação desejado, denotando a exequibilidade do método.
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Carlos Eduardo de Mesquita Barros;
Marcell Leonard Besser;
Eleonora Maria Gouveia Vasconcellos
Palavra-chave:
granites;
Paleoproterozoic;
Província Transamazonas
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Ademir Alves Ribeiro;
Mael Sachine;
Evelin Heringer Manoel Krulikovski
Palavra-chave:
approximate KKT conditions;
Mathematical programs with cardinality constraints;
Sequential methods
Áreas do conhecimento:
Ciências Exatas e da Terra; Matemática Aplicada; Otimização
resumo ...
We propose a comparative study of sequential optimality conditions for mathematical programs with cardinality constraints. Besides analyzing some of the classical approximate conditions for nonlinear programming, such as AKKT, CAKKT and PAKKT, we also propose an approximate weak stationarity ( $${ AW}$$ -stationarity) concept designed to deal with this class of problems and we prove that it is a legitimate optimality condition independently of any constraint qualification. We point out that, despite the computational appeal of the sequential optimality conditions, in this work we are not concerned with algorithmic consequences. Our aim is purely to discuss theoretical aspects of such conditions for MPCaC problems.
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Rodrigo Medeiros Ribeiro;
Anadalvo Juazeiro dos Santos;
Anadalvo Juazeiro dos Santos;
João Carlos Garzel Leodoro da SIlva;
José Roberto Frega;
Romano Timofeiczyk Junior
Revista Gestão e Tecnologia,
v. 22,
n. 4,
p. 169-204,
2022
Palavra-chave:
Análise de mercado;
Competitividade;
Produto Florestal Não Madeireiro;
Linguagem de Programação R
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Economia Florestal;
Ciências Exatas e da Terra; Ciência da Computação; Metodologia e Técnicas da Computação; Linguagens de Programação
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Rogerio Hultimann;
A CHAVES NETO
Palavra-chave:
Desenvolvimento do Brasil;
Esttatística
Áreas do conhecimento:
Ciências Exatas e da Terra; Ciência da Computação; Metodologia e Técnicas da Computação; Engenharia de Software
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LIMA, RICARDO H. R.;
Magalhães, Dimmy;
Aurora Trinidad Ramirez Pozo;
MENDIBURU, ALEXANDER;
SANTANA, ROBERTO
Palavra-chave:
algoritmos bio-inspirados;
deep learning;
Programação Genética
Áreas do conhecimento:
Ciências Exatas e da Terra; Metodologia e Técnicas da Computação; Inteligencia Artificial
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Deep Learning has been very successful in automating the feature engineering process, widely applied for various tasks, such as speech recognition, classification, segmentation of images, time-series forecasting, among others. Deep neural networks (DNNs) incorporate the power to learn patterns through data, following an end-to-end fashion and expand the applicability in real world problems, since less pre-processing is necessary. With the fast growth in both scale and complexity, a new challenge has emerged regarding the design and configuration of DNNs. In this work, we present a study on applying an evolutionary grammar-based genetic programming algorithm (GP) as a unified approach to the design of DNNs. Evolutionary approaches have been growing in popularity for this subject as Neuroevolution is studied more. We validate our approach in three different applications: the design of Convolutional Neural Networks for image classification, Graph Neural Networks for text classification, and U-Nets for image segmentation. The results show that evolutionary grammar-based GP can efficiently generate different DNN architectures, adapted to each problem, employing choices that differ from what is usually seen in networks designed by hand. This approach has shown a lot of promise regarding the design of architectures, reaching competitive results with their counterparts.
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KÉSIA R. SANTOS;
Danilo C. FERREIRA;
Antonio Carlos Vitte
Palavra-chave:
Buffon;
História Natural;
Geografia;
Arqueologia da Natureza;
Kant
Áreas do conhecimento:
Ciências Humanas; Geografia; Geografia;
Ciências Humanas; Filosofia; história da ciência;
Ciências Exatas e da Terra; Geociências; Meteorologia; Meteorologia Dinâmica
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COSTA, EMMANOEL V.;
Hector Henrique Ferreira Koolen;
Barison, Andersson;
ALENCAR MENEZES, LEOCILEY R.;
DUTRA, LÍVIA M.;
PINHEIRO, MARIA LÚCIA B.;
LAVOR, ÉRICA M.;
SILVA, MARIANA G.;
ALVES, CRISTIANE DOS S. C.;
ALMEIDA, JACKSON R. G. S.;
DA SILVA, FELIPE MOURA A.
Palavra-chave:
RMN;
Determinação estrutural
Áreas do conhecimento:
Ciências Exatas e da Terra; Química; Ressonancia Magnetica Nuclear;
Engenharias; Engenharia Química; Tecnologia Química; Produtos Naturais;
Ciências Exatas e da Terra; Química; Química Orgânica; Estrutura, Conformação e Estereoquímica
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In the present study, it was evaluated the chemical composition and the antinociceptive activity of the essential oil obtained from the leaves of Guatteria friesiana . Seven compounds corresponding to 96.2% of the crude essential oil were identified. The main components identified were the mixture of β-eudesmol and α-eudesmol (58.1%), and γ-eudesmol (16.8%). A new α-eudesmol derivative, named 5-hydroxy-α-eudesmol, was isolated together with the known compounds β-eudesmol and a mixture of α-eudesmol, β-eudesmol and γ -eudesmol of the essential oil. The chemical structures were determined by 1D and 2D NMR, and MS experiments. Essential oil has significant antinociceptive properties, which are related probably with the involvement of the opioid receptors and K + -ATP channels.
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