43 research outputs found
Acute measles encephalitis of the delayed type in an immunosuppressed child
No full textThe authors described a case of an immunosuppressed child with acute measles encephalitis of the delayed type (AMED). The authors also discussed the relationship between the AMED, epilepsia partialis continua and the neuroradiological picture, in which bilateral putaminal lucency was evident
Inflammatory aneurisms of the abdominal aorta: pre-surgical evalution
No full textVengono descritti gli aspetti US e TAC degli aneurismi infiammatori dell'aorta addominal
[Invasive pulmonary aspergillosis: possibility of radiologic diagnosis]
No full textThe incidence of invasive pulmonary aspergillosis is increasing in the patients with malignant hematologic diseases; this occurs in the phase of granulocytopenia induced by chemotherapy. In these cases an early diagnosis is mandatory to start a prompt antimycotic treatment. The authors reviewed the personal series of 56 patients with malignant hematologic diseases who, in the phase of granulocytopenia, developed a pulmonary lesion: 32/56 with invasive pulmonary aspergillosis; 8/56 with Candida and 16/56 with bacterial infection. All patients underwent several conventional radiologic controls: 9 cases with invasive pulmonary aspergillosis were also studied with Computed Tomography (CT). After a short pathologic introduction, the conventional radiologic and CT patterns of invasive pulmonary aspergillosis are analyzed, both at onset and over its evolutive phase. The most significant feature for an early conventional radiologic diagnosis is the nodular pattern--single or multiple--; this allowed a correct diagnosis, at onset, of 20/32 (62%) invasive pulmonary aspergillosis cases. CT provided a further diagnostic contribution by showing a peri-nodular halo. Of interest was also the CT demonstration of high-density pleural thickening adjacent to the mycotic lesion, probably due to fungal involvement of the sub-pleural space. The routine chest roentgenogram is the modality of choice; CT may be useful in questionable cases
[Diagnostic imaging of pancreatic metastasis]
No full textThe authors present their personal series of pancreatic metastases (8 cases) which were evaluated with different imaging modalities--i.e., sonography, computed tomography, and angiography. Possibilities and limitations of non-invasive modalities are pointed out, and the usefulness of angiography is emphasized for the identification of small hypervascular lesions. The fairly rare diagnosis of these tumoral lesions is due to 3 causes: low incidence of pancreatic metastases; their frequently small size which justifies eventual false negatives; the frequent lack of symptoms calling for imaging modalities. Moreover, pancreatic metastases are usually diagnosed in an advanced stage. Thus, the therapeutic approach must be planned in every single case, in relation to the perspectives of survival and to the residual quality of life
Recomendação de adubação nitrogenada de milho em função do NDVI obtido no agreste do Sealba: primeira aproximação.
No full textEfficient use of Landsat-8 Data to minimize cloud coverage in the analysis of soybean, corn, and cotton cultivation.
No full textAbstract: This study aimed to manipulate databases from the Landsat-8 project to select orbital scenes with minimal cloud coverage aligned with the growth periods of cotton, corn, and soybean crops in the Cerrado biome. Employing an Extract, Transform, Load (ETL) approach, the research focused on extracting and transforming large datasets by integrating georeferenced information from IBGE and data from the Agricultural Risk Zoning (ZARC). The planting windows for the 2014 to 2019 harvests were identified with a 20% or lower climate risk, considering variables such as soil and climate conditions. The results indicated that the availability of images with low cloud coverage is inversely related to the planting windows, especially during critical periods. To streamline the processing, algorithms were developed in R and Python, and a script for automatic image downloading was implemented. Despite data standardization challenges, applying big data techniques proved essential for the analysis. This study enhances efficiency in agricultural planning and emphasizes the importance of further exploring remote sensing technologies in response to current food security and sustainability demands. Resumo: Este trabalho teve como objetivo a manipulação de grandes bases de dados do projeto Landsat-8 para selecionar cenas orbitais com menor cobertura de nuvens, correspondendo ao período de desenvolvimento das culturas de algodão, milho e soja no bioma do Cerrado. Utilizando uma abordagem de Extração, Transformação e Carregamento (ETL), o estudo focou na extração e transformação de grandes bases de dados, integrando informações georreferenciadas do IBGE e dados do Zoneamento Agrícola de Risco Climático (ZARC). As janelas de plantio para as safras de 2014 a 2019 foram identificadas com um risco climático de 20% ou menos, considerando variáveis como solo e clima. Os resultados mostraram que a disponibilidade de imagens com baixa cobertura de nuvens é inversamente proporcional às janelas de cultivo, especialmente durante períodos críticos. Para facilitar o processamento, foram desenvolvidos algoritmos em R e Python, e um script para download automático de imagens com baixa cobertura de nuvens foi implementado. Apesar dos desafios na padronização dos dados, este estudo teve como objetivo contribuir para a eficiência do planejamento agrícola e destacar a importância de continuar a explorar tecnologias de sensoriamento remoto diante das demandas atuais por segurança alimentar e sustentabilidade
Diversidade como fator de resiliência: o papel das culturas temporárias e permanentes frente à seca no litoral norte e agreste baiano.
No full textEste trabalho teve como objetivo analisar a relação entre a diversidade do valor da produção de culturas permanentes e temporárias com a ocorrência de seca anualmente no Território de Identidade Litoral Norte e Agreste Baiano. A diversidade foi calculada a partir do índice Shannon sobre as estimativas anuais do IBGE por município entre 2014 e 2022. A ocorrência de seca foi obtida a partir do monitor de secas da Agência Nacional de Águas. A análise foi conduzida a partir de um modelo econométrico quantílico. Os resultados mostraram que a ocorrência de seca afeta negativamente a diversidade de culturas temporárias, salvo os municípios com elevada diversidade. Não se observou o efeito da seca sobre a diversidade do valor da produção de culturas permanentes. This study aimed to analyze the relationship between the diversity of the production value of permanent and temporary crops and the occurrence of drought annually in the Litoral Norte and Agreste Baiano Identity Territory. Diversity was calculated from the Shannon index on annual IBGE estimates by municipality between 2014 and 2022. The occurrence of drought was obtained from the drought monitor of the National Water Agency. The analysis was conducted using a quantile econometric model. The results showed that the occurrence of drought negatively affects the diversity of temporary crops, except for municipalities with high diversity. The effect of drought on the diversity of the production value of permanent crops was not observed
Publicação de mapas agrícolas interativos na web.
No full textA análise integrada de dados espaciais contribui na caracterização e compreensão dos territórios. Contudo, nem todo dado espacial disponível possui seu componente geográfico explícito, o que dificulta consideravelmente a análise do espaço geográfico. Devido ao volume de dados, mapas dinâmicos oferecem maior possibilidades de exploração e permitem uma melhor interpretação dos dados. O objetivo desse artigo é apresentar uma solução para a elaboração e publicação de painéis agrícolas interativos na web. Os painéis podem conter, além de tabelas, mapas e gráficos interativos, manipuláveis por meio de controles embutidos em páginas web. A solução processa os dados das pesquisas agropecuárias, associa as feições cartográficas, aplica processamentos e cálculos estatísticos para construir um banco de dados que serve de base para a elaboração dos painéis. As páginas resultantes, que incorporam todos os elementos dinâmicos, podem ser publicadas na web ou em gerenciadores de conteúdo
Efficient use of Landsat-8 data to minimize cloud coverage in the analysis of soybean, corn, and cotton cultivation.
No full textThis study aimed to manipulate databases from the Landsat-8 project to select orbital scenes with minimal cloud coverage aligned with the growth periods of cotton, corn, and soybean crops in the Cerrado biome. Employing an Extract, Transform, Load (ETL) approach, the research focused on extracting and transforming large datasets by integrating georeferenced information from IBGE and data from the Agricultural Risk Zoning (ZARC). The planting windows for the 2014 to 2019 harvests were identified with a 20% or lower climate risk, considering variables such as soil and climate conditions. The results indicated that the availability of images with low cloud coverage is inversely related to the planting windows, especially during critical periods. To streamline the processing, algorithms were developed in R and Python, and a script for automatic image downloading was implemented. Despite data standardization challenges, applying big data techniques proved essential for the analysis. This study enhances efficiency in agricultural planning and emphasizes the importance of further exploring remote sensing technologies in response to current food security and sustainability demands
