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  1. Book ; Online: Leishmaniasis

    de Azevedo Calderonon, Leonardo

    General Aspects of a Stigmatized Disease

    2022  

    Keywords Infectious & contagious diseases
    Language 0|e
    Size 1 electronic resource (256 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021612145
    ISBN 9781839680922 ; 183968092X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Physics-informed W-Net GAN for the direct stochastic inversion of fullstack seismic data into facies models.

    Miele, Roberto / Azevedo, Leonardo

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 5122

    Abstract: Predicting the subsurface spatial distribution of geological facies from fullstack geophysical data is a main step in the geo-modeling workflow for energy exploration and environmental tasks and requires solving an inverse problem. Generative adversarial ...

    Abstract Predicting the subsurface spatial distribution of geological facies from fullstack geophysical data is a main step in the geo-modeling workflow for energy exploration and environmental tasks and requires solving an inverse problem. Generative adversarial networks (GANs) have shown great potential for geologically accurate probabilistic inverse modeling, but existing methods require multiple sequential steps and do not account for the spatial uncertainty of facies-dependent continuous properties, linking the facies to the observed geophysical data. This can lead to biased predictions of facies distributions and inaccurate quantification of the associated uncertainty. To overcome these limitations, we propose a GAN able to learn the physics-based mapping between facies and seismic domains, while accounting for the spatial uncertainty of such facies-dependent properties. During its adversarial training, the network reads the observed geophysical data, providing solutions to the inverse problems directly in a single step. The method is demonstrated on 2-D examples, using both synthetic and real data from the Norne field (Norwegian North Sea). The results show that the trained GAN can model facies patterns matching the spatial continuity patterns observed in the training images, fitting the observed geophysical data, and with a variability proportional to the spatial uncertainty of the facies-dependent properties.
    Language English
    Publishing date 2024-03-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-55683-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Chromatography : The Most Versatile Method of Chemical Analysis

    de Azevedo Calderon, Leonardo

    2012  

    Keywords Chemistry ; Analytical chemistry
    Size 1 electronic resource (440 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021046224
    ISBN 9789535150121 ; 953515012X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Cesarino, Leticia. 2022. O mundo do avesso

    Leonardo Francisco de Azevedo

    Anuário Antropológico, Vol 48, Iss

    Verdade e política na era digital. São Paulo: Ubu Editora. 300 p.

    2023  Volume 3

    Keywords resenha ; Cesarino ; Anthropology ; GN1-890 ; Ethnology. Social and cultural anthropology ; GN301-674
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Universidade de Brasília
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: FORA DO “CENTRO”

    Leonardo Azevedo

    CSOnline, Iss

    PERIFERIAS, ALTERIDADES E POLÍTICAS DA PRODUÇÃO DE CONHECIMENTO ANTROPOLÓGICO

    2019  Volume 17

    Abstract: Frente à necessidade de compreender as diferentes investigações antropológicas realizadas fora dos grandes centros produtores dos paradigmas da disciplina, apresentaremos o desenvolvimento da antropologia na América Latina, focando principalmente na ... ...

    Abstract Frente à necessidade de compreender as diferentes investigações antropológicas realizadas fora dos grandes centros produtores dos paradigmas da disciplina, apresentaremos o desenvolvimento da antropologia na América Latina, focando principalmente na antropologia brasileira; bem como pesquisas antropológicas interessadas nos processos de construção de Estados nacionais pós-independência, nomeadamente Timor-Leste e Índia. Por fim, atualizaremos o debate da escrita antropológica focando não apenas na questão poética, mas sobretudo na sua dimensão política.
    Keywords Social sciences (General) ; H1-99
    Language English
    Publishing date 2019-05-01T00:00:00Z
    Publisher Universidade Federal de Juiz de Fora
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Nova Friburgo

    Leonardo Azevedo Neves

    Geo UERJ, Vol 0, Iss

    um perfil histórico-geográfico acerca do quadro socioespacial da região

    2020  Volume 7

    Abstract: O objetivo central deste trabalho é apresentar um breve retrospecto histórico- geográfico acerca do município de Nova Friburgo, presente na região Serrana Fluminense, destacando, para tanto, sua trajetória histórica e todo o conjunto de repercussões ... ...

    Abstract O objetivo central deste trabalho é apresentar um breve retrospecto histórico- geográfico acerca do município de Nova Friburgo, presente na região Serrana Fluminense, destacando, para tanto, sua trajetória histórica e todo o conjunto de repercussões sócio -espacias daí advindas. Para isso retomaremos a história de Nova Friburgo desde sua fundação como uma colônia de suíços ainda no século XIX, o conjunto das atividades mais significativas ali desenvolvidas ao longo do tempo, além de toda a nova dinâmica social resultante
    Keywords nova friburgo ; imigração suíça ; pluriatividade ; Geography (General) ; G1-922
    Language Spanish
    Publishing date 2020-03-01T00:00:00Z
    Publisher Universidade do Estado do Rio de Janeiro
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022.

    Ribeiro, Manuel / Azevedo, Leonardo / Santos, André Peralta / Pinto Leite, Pedro / Pereira, Maria João

    PloS one

    2024  Volume 19, Issue 2, Page(s) e0297772

    Abstract: During the SARS-CoV-2 pandemic, governments and public health authorities collected massive amounts of data on daily confirmed positive cases and incidence rates. These data sets provide relevant information to develop a scientific understanding of the ... ...

    Abstract During the SARS-CoV-2 pandemic, governments and public health authorities collected massive amounts of data on daily confirmed positive cases and incidence rates. These data sets provide relevant information to develop a scientific understanding of the pandemic's spatiotemporal dynamics. At the same time, there is a lack of comprehensive approaches to describe and classify patterns underlying the dynamics of COVID-19 incidence across regions over time. This seriously constrains the potential benefits for public health authorities to understand spatiotemporal patterns of disease incidence that would allow for better risk communication strategies and improved assessment of mitigation policies efficacy. Within this context, we propose an exploratory statistical tool that combines functional data analysis with unsupervised learning algorithms to extract meaningful information about the main spatiotemporal patterns underlying COVID-19 incidence on mainland Portugal. We focus on the timeframe spanning from August 2020 to March 2022, considering data at the municipality level. First, we describe the temporal evolution of confirmed daily COVID-19 cases by municipality as a function of time, and outline the main temporal patterns of variability using a functional principal component analysis. Then, municipalities are classified according to their spatiotemporal similarities through hierarchical clustering adapted to spatially correlated functional data. Our findings reveal disparities in disease dynamics between northern and coastal municipalities versus those in the southern and hinterland. We also distinguish effects occurring during the 2020-2021 period from those in the 2021-2022 autumn-winter seasons. The results provide proof-of-concept that the proposed approach can be used to detect the main spatiotemporal patterns of disease incidence. The novel approach expands and enhances existing exploratory tools for spatiotemporal analysis of public health data.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Portugal/epidemiology ; Incidence ; SARS-CoV-2 ; Spatio-Temporal Analysis
    Language English
    Publishing date 2024-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0297772
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Acoustic imaging of stable double diffusion in the Madeira abyssal plain.

    Duarte, Ana F / Peliz, Álvaro / Matias, Luís / Mendes, Renato / Azevedo, Leonardo

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 8273

    Abstract: Sub-mesoscale and mesoscale (i.e., 1-10 km and 10-200 km, respectively) ocean processes are highly relevant for the understanding of global circulation, mixing of water masses and energy exchange between ocean layers. However, the processes happening at ... ...

    Abstract Sub-mesoscale and mesoscale (i.e., 1-10 km and 10-200 km, respectively) ocean processes are highly relevant for the understanding of global circulation, mixing of water masses and energy exchange between ocean layers. However, the processes happening at these scales are hard to be characterized using direct measurements of temperature and salinity. Direct measurements are obtained from vertical probes and/or autonomous vehicles, which, despite their high vertical resolution, are sparsely located in space and therefore unable to capture spatial details at these scales. Seismic oceanography (SO) data have been successfully used to imaging and characterize the ocean at these spatial scales. These data represent indirect measurements of the ocean temperature and salinity along kilometric transects with high horizontal resolution (i.e., a near-synaptic view of the system under investigation), but lower vertical resolution when compared with direct observations. Despite its complex oceanographic setting, the Madeira Abyssal Plain is still largely uncharacterized due to the lack of direct observations. We show for the first time a comprehensive processing, modelling and interpretation of three 2-D seismic oceanography sections from this region. The data show coherent seismic reflection in space, depth and time and shed light into this oceanographic setting with an unprecedent horizontal resolution. The SO modelling and interpretation are combined with existing direct measurements and a quantitative method to correlate thermohaline staircases interpreted from conductivity-temperature-depth casts and seismic reflections is proposed. The results show the relatively stable presence of thermohaline staircases in simultaneously time and space between 1200 and 2000 m of water depth and their spatial variability and contribute to the generalization of SO in physical oceanography.
    Language English
    Publishing date 2024-04-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-58861-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Geometric morphometrics as a tool to understand biogeographical and evolutionary patterns in crane fly genus

    Gouvêa, Jéssica / Gil-Azevedo, Leonardo H

    PeerJ

    2022  Volume 10, Page(s) e13123

    Abstract: Background: The geometric morphometric analysis is applied for the first time for the family Tipulidae to distinguish evolutionary and biogeographical patterns on : Methods: Twenty-two landmarks were selected on the wing, mostly located on the radial ...

    Abstract Background: The geometric morphometric analysis is applied for the first time for the family Tipulidae to distinguish evolutionary and biogeographical patterns on
    Methods: Twenty-two landmarks were selected on the wing, mostly located on the radial and medial veins. A Regression Analysis, Principal Components Analysis (PCA), a Shape Coordinates PCA and a Canonical Variate Analysis (CVA) were used to test the variations among individuals, wing shape and groups.
    Results: For all analyses, the species of
    Language English
    Publishing date 2022-03-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.13123
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Editorial

    Jiangxin Chen / Wei Li / Min Luo / Leonardo Azevedo / Shaoru Yin

    Frontiers in Marine Science, Vol

    Seafloor processes: geomorphology, sediment-ocean interaction and natural resources

    2023  Volume 10

    Keywords seafloor process ; gas hydrate ; hydrodynamic interaction ; submarine geomorphology ; geological process ; biological disturbance ; Science ; Q ; General. Including nature conservation ; geographical distribution ; QH1-199.5
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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