[Montreal 1976] [Material gráfico]

Contiene fotografías pertenecientes al archivo fotográfico del diario "Región", publicadas entre 1974 y 1976, aunque la mayoría en 1976Todas las fotografías firmadas por Foto E. Gar (Oviedo), Cifra Gráfica, y EF

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

COMBINANDO FORÇAS INOVATIVAS E TECNOLOGIA DA INFORMAÇÃO: CASOS DAS AGÊNCIAS DE PUBLICIDADE

Na atual conjuntura da sociedade do conhecimento as organizações demandam por meios para se manterem inovadoras com vistas a garantir a própria sobrevivência. Nesse cenário, atribui-se papel decisivo ao uso eficiente da tecnologia da informação como ferramenta capaz de triar os dados, facilitar a comunicação e conectar stakeholders. Não obstante, faz-se necessário saber utilizar essas ferramentas efetivamente, uma vez que, apenas investir na propriedade de um aparato tecnológico se mostra insuficiente para lograr êxito no desafio de inovar. Engajando-se ao ambiente ilustrado, esta pesquisa objetiva compreender como a tecnologia da informação tem sido combinada com as forças que atuam sobre a inovação nas agências de publicidade em Aracaju. A estratégia metodológica escolhida foi o estudo de casos múltiplos. Os dados foram coletados por meio de entrevistas semiestruturadas com os gestores de quatro agências de publicidade e também com a observação não participante nessas empresas. Verificou-se que a TI exerce maior impacto sobre a força interna, recursos humanos, e sobre as forças externas, clientes e competidores. Percebeu-se que a elevação das possibilidades de conectividade provocada pelas ferramentas da TI influencia positivamente na cooperação entre atores de um mercado, embora essa ação reduza a possibilidade de inovação radical. Também foi possível notar que a inovação no segmento analisado se aproxima dos preceitos da inovação aberta

Phenolic composition and medicinal usage of Psidium guajava Linn.: Antifungal activity or inhibition of virulence?

Psidium guajava is a Myrtaceae plant whose medicinal properties are recognized in several locations. The use of teas and tinctures prepared from their leaves has been used to combat infections caused by fungi of the genus Candida. In this study, aqueous extracts of leaves and hydroethanolic were tested to verify the antifungal potential and its chemical composition has been investigated. The microbiological assays were performed by broth microdilution to determine the minimum inhibitory concentration (MIC) and from these the minimum fungicidal concentration was performed (MFC) by subculturing on solid media. A cell viability curve was obtained for demonstration of inhibition of fungal growth of strains of Candida albicans and Candida tropicalis. Tests to check morphological changes by the action of the extracts were performed in microcultive cameras depleted environment at concentrations of MIC/2, MIC and MIC × 2. Extracts analyzed by high performance liquid chromatography demonstrated flavonoids and phenolic acids. The extracts showed fungistatic effect and no fungicide with MIC >8192 μg/mL, MFC above 8192 μg/mL. The IC50 was calculated ranging from 1803.02 to 5623.41 μg/mL. It has been found that the extracts affect the morphological transition capability, preventing the formation of pseudohyphae and hyphae. Teas and tinctures, therefore, have the potential antifungal, by direct contact, causing inhibition of fungal multiplication and its virulence factor, the cell dimorphism, preventing tissue invasion. Further studies are needed to elucidate the biochemical pathways and genes assets involved in these processes