The media apparatus as objectivation practice of the subject “businesswoman”

O presente trabalho busca compreender de que modo o dispositivo mídia, de modo particular a mídia de colunismo social em circulação na cidade de São Luís-MA produz práticas de objetivação sobre o sujeito mulher. Para tanto, analisamos duas matérias retiradas da edição nº 37, ano 2016, da revista Deluxe, que homenageia mulheres empresárias e sintetiza a proposta central da revista, que é valorizar a mulher empreendedora e independente, mostrando-a como exemplo a ser admirado e seguido. Ancoramo-nos nas reflexões de Foucault sobre os processos de construção da subjetividade, em que são estudadas as formas de constituição do sujeito moderno, por meio de mecanismos de objetivação e de subjetivação, que tendem a tornar o homem dócil politicamente e útil economicamente e que se referem aos processos que fazem do homem um sujeito preso a uma identidade atribuída como lhe pertencendo. Consideramos, ainda, a ideia de dispositivo, que constitui um espaço de produção de saberes atravessado por mecanismos de poder e de estratégias de enunciação, construindo discursos e possibilitando sua circulação como verdades.The present work aims at understanding how the media apparatus, particularly the social columnism media circulating in the city of São Luís-MA, produces objectivation practices about the subject “woman”. Therefore, we analyzed two journalistic articles taken from Deluxe magazine issue 37, of the year of 2016, which pays homage to women entrepreneurs and summarizes the main purpose of the magazine, which is to value the entrepreneurial and independent woman, showing her as an example to be admired and followed. Our work is based on Foucault's reflections on the processes of subjectivity construction, in which the forms of constitution of the modern subject are studied through mechanisms of objectification and subjectivation, which tend to make man politically and economically useful, and that refers to the processes that make man a subject bound to an identity attributed as belonging to him. We also consider the idea of apparatus, which constitutes a space of knowledge production crossed by mechanisms of power and utterance strategies, constructing discourses and enabling their circulation as truths

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

Sanitizing cinnamaldehyde solutions against Pseudomonas aeruginosa biofilms formed on stainless steel surfaces

Abstract Pseudomonas aeruginosa is an opportunistic pathogen capable of forming biofilms of great relevance to medical microbiology and the food industry. Essential oil (EOs) constituents have been researched as new strategies for the control of biofilms. In the present study cinnamaldehyde was shown to be an effective EO against the planktonic cells of P. aeruginosa strains (p < 0.05). Thus it was used to prepare sanitizing solutions, which were tested against P. aeruginosa biofilms formed on stainless steel surfaces. Cinnamaldehyde showed antibacterial activity against sessile P. aeruginosa cells (p < 0.05). A 100% (5.87 log-reduction) elimination of viable bacterial cells was obtained after treatment with a 6xMIC (0.06% Minimal Inhibitory Concentration) solution for the strain ATCC 9027. Sanitizing cinnamaldehyde solutions can be used as new alternatives to control such microbial sessile communities in food industries