DINÁMICA DEL USO DEL SUELO Y SU RELACIÓN CON LA CALIDAD DE VIDA DE LOS HABITANTES DE LA ISLA DE CARATATEUA, BELÉM, PARÁ

RESUMO: O presente trabalho teve como objetivo avaliar a dinâmica do uso do solo, entre os anos de 1984 e 2015, por meio do processamento digital de imagens, e aplicação de questionários para avaliar a relação do uso do solo com a qualidade de vida dos moradores da ilha de Caratateua, Belém, Pará. Foram utilizadas imagens do satélite LANDSAT-5, bandas 3, 4 e 5, dos anos 1984, 1999, 2008 e 2015, as quais foram submetidas à classificação supervisionada por máxima verossimilhança. Posteriormente, obteve-se mapas com classes de uso do solo, sendo mais expressivas a Vegetação Densa, Capoeira (Floresta Secundária), Solo Exposto e Área Urbana. Foram aplicados 50 questionários com a pergunta: Quais os principais problemas que interferem na qualidade de vida da população da ilha de Caratateua? O período entre os anos de 1984 a 1989 foi o de maior crescimento urbano na ilha. A falha na gestão ambiental e urbanística, associados ao processo de crescimento desordenado, que, aliado a outros fatores, resultou no aumento desordenado de áreas urbanas e vem gerando impactos sociais, em especial com o aumento da violência e da carência de saneamento básico, e ambientais, por meio do uso indiscriminado dos recursos naturais e do solo.PALAVRAS-CHAVE: Monitoramento ambiental, Processamento de imagens digitais,  Sensoriamento remoto.ABSTRACT: The objective of this study was to evaluate the dynamics of soil use between 1984 and 2015 through digital image processing and questionnaires to evaluate the relationship between soil use and the quality of life of the (LANDSAT-5), bands 3, 4 and 5, from 1984, 1999, 2008 and 2015, which were submitted to supervised classification by maximum likelihood. Subsequently, maps with classes of land use were obtained, being more expressive the Dense Vegetation, Capoeira (Secondary Forest), Exposed Ground and Urban Area. Fifty questionnaires were applied with the question: What are the main problems that interfere in the quality of life of the population of the island of Caratateua? The period between the years 1984 to 1989 was the one of greater urban growth in the island. The lack of environmental and urban management associated with the disorderly growth process, which, combined with other factors, has resulted in the disorderly increase of urban areas and has generated social impacts, especially with increasing violence and lack of basic sanitation, and through the indiscriminate use of natural resources and soil.KEYWORDS: Environmental monitoring, Processing of digital images, Remote sensing. RESUMEN: El presente trabajo tuvo como objetivo evaluar la dinámica del uso del suelo, entre los años 1984 y 2015, por medio del procesamiento digital de imágenes, y aplicación de cuestionarios para evaluar la relación del uso del suelo con la calidad de vida de los habitantes de los años 1984, 1999, 2008 y 2015, las cuales fueron sometidas a la clasificación supervisada por máxima verosimilitud. Posteriormente, se obtuvieron mapas con clases de uso del suelo, siendo más expresivas la Vegetación Densa, Capoeira (Bosque Secundaria), Solo Exposto y Área Urbana. Se aplicaron 50 cuestionarios con la pregunta: ¿Cuáles son los principales problemas que interfieren en la calidad de vida de la población de la isla de Caratateua? El período entre los años 1984 a 1989 fue el de mayor crecimiento urbano en la isla. La falla en la gestión ambiental y urbanística, asociados al proceso de crecimiento desordenado, que, aliado a otros factores, resultó en el aumento desordenado de áreas urbanas y viene generando impactos sociales, en especial con el aumento de la violencia y la carencia de saneamiento básico, y ambientales, a través del uso indiscriminado de los recursos naturales y del suelo.PALABRAS CLAVE: Detección remota, Monitoreo ambiental, Procesamiento de imágenes digitales

Colangiocarcinoma avançado: um relato de caso/Advanced cholangiocarcinoma: a case report

O colangiocarcinoma é um tumor originado nas células epiteliais que revestem os ductos biliares intra ou extra-hepáticos, seu tipo histológico mais comum é o adenocarcinoma. Mais de 50% dos casos são diagnosticados em fase avançada, e o consenso geral mostra que o tratamento cirúrgico através da completa ressecção tumoral com margens livres cirúrgicas é o que oferece o melhor prognóstico e a única chance de cura. É apresentado o caso de um paciente de 67 anos do sexo masculino, ictérico, hipocorado e apresentando sinais de síndrome consumptiva, admitido com relato de perda ponderal importante, astenia e hiporexia há aproximadamente dois meses. Os exames de imagens e laboratoriais sustentaram a hipótese diagnóstica de colangiocarcinoma, sendo optada pela videolaparoscopia

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

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Association between the rs820218 Variant within the <i>SAP30BP</i> Gene and Rotator Cuff Rupture in an Amazonian Population

Background: Rotator cuff disease is one of the leading causes of musculoskeletal pain and disability, and its etiology is most likely multifactorial but remains incompletely understood. Therefore, the objective of this research was to investigate the relationship of the single-nucleotide rs820218 polymorphism of the SAP30-binding protein (SAP30BP) gene with rotator cuff tears in the Amazonian population. Methods: The case group consisted of patients who were operated on due to rotator cuff tears in a hospital in the Amazon region between 2010 and 2021, and the control group was composed of individuals who were selected after negative physical examinations for rotator cuff tears. Genomic DNA was obtained from saliva samples. For the genotyping and allelic discrimination of the selected single nucleotide polymorphism (rs820218) in the SAP30BP gene, real-time PCR was performed. Results: The frequency of the A allele in the control group was four times as high as that in the case group (AA homozygotes); an association of the genetic variant rs820218 of the SAP30BP gene with rotator cuff tears was not established (p = 0.28 and 0.20), as the A allelic frequency is ordinarily low in the general population. Conclusions: The presence of the A allele indicates protection against rotator cuff tears