Short-term CO₂ exposure and temperature rise effects on metazoan meiofauna and free-living nematodes in sandy and muddy sediments: Results from a flume experiment

Global concern over increasing CO2 emissions, and the resultant CO2 driven temperature rises and changes in seawater chemistry, necessitates the advancement of understanding into how these changes will affect marine life now and in the future. Here we report on an experimental investigation into the effects of increased CO2 concentration and elevated temperature on sedimentary meiofaunal communities. Cohesive (muddy) and non-cohesive (sandy) sediments were collected from the Eden Estuary in St. Andrews, Scotland, UK, placed within a flume setup and exposed to 2 levels of CO2 concentration (380 and 750 ppmv, current at the time of the experiment, and predicted CO2 concentration by 2100, respectively) and 2 temperature levels (12 °C and 16 °C, current in-situ and predicted temperature by 2100, respectively). We investigated the metazoan meiofauna and nematode communities before and after 28 days of exposure under these experimental conditions. The most determinative factor for abundance, diversity and community structure of meiofauna and nematodes was sediment type: on all levels, communities were significantly different between sand and mud sediments which agrees with what is generally known about the influence of sediment structure on meiofaunal organisms. Few CO2 and temperature effects were observed, suggesting that meiofauna and nematodes are generally much less responsive than, for instance, microbial communities and macrofauna to these environmental changes in estuarine environments, where organisms are naturally exposed to a fluctuating environment. This was corroborated by the observed effects related to the different seasons in which the samples were taken from the field to run the experiment. After 28 days, meiofauna and nematode communities in muddy sediments showed a greater response to increased CO2 concentration and temperature rise than in sandy sediments. However, further study is needed to investigate the underlying mechanisms and meiofauna species-specific resilience and responses to ocean acidification and warming, and their interactions with other biota, to understand what such changes may mean for meiofauna communities and the ecosystem processes and functions they contribute to

Planta de hidrotratamento de gasóleos diesel S10

Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Instituto de Química, 2019.O projeto em questão consiste numa planta de dessulfurização de gasóleo obtido por destilação atmosférica de petróleo. A planta foi projetada com o intuito de ser anexada a uma refinaria já operante, com foco em atender a legislação ambiental, reduzindo o teor de compostos sulfurados a 10 ppm e nitrogenados a 200 ppm. A planta consiste resumidamente em três partes: uma unidade de dessulfurização a partir do hidrotratamento de Gasóleo com reciclo de gás rico em Hidrogênio, uma unidade de reaproveitamento de gás rico em gás Hidrogênio e outra unidade de destilação do gasóleo (stripping), a fim de separá-lo dos componentes leves que estavam a ele misturados

Paciente pediátrico portador de transtorno espectro autista em um ambulatório: relato de experiência / Pediatric patient with autistic spectrum disorder in an outpatient clinic: experience report

O transtorno do espectro autista (TEA) é um grupo de distúrbios do desenvolvimento neurológico de início precoce, caracterizado por comprometimento das habilidades sociais e de comunicação, além de comportamentos estereotipados. Este trabalho teve como objetivo relatar a experiência vivenciadas durante o período das aulas práticas em um ambulatório pediátrico, pontuando a assistência de enfermagem para um paciente pediátrico com Transtorno do Espectro Autista (TEA), e os cuidados voltados para as suas enfermidades. Trata-se de um estudo descritivo do tipo relato de experiência, realizado por acadêmicas de enfermagem da Universidade da Amazônia - UNAMA, durante as aulas práticas em um ambulatório infantil em Belém – PA, concluímos que a importância do enfermeiro sobre orientar os pais, e direciona-los a consultar o filho com outros profissionais da equipe multiprofissional de saúde, e para melhorar a qualidade de vida da criança.

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

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

Digital technology for the prevention of healthcare-related infections in critical care

ABSTRACT Objective: To develop digital technology for patient and family integration into the Intensive Care Unit care team, aiming to subsidize decision-making for the prevention of infections related to healthcare. Method: Methodological research of technological production in three phases: pre-production, production, and post-production in a teaching hospital in southern Brazil. Sixteen intensive care unit nurses participated. Results: The research produced six videos: general guidelines on the Intensive Care Unit, Preventing infections: hand hygiene; Pneumonia associated with mechanical ventilation; Catheter-associated primary bloodstream infection; Catheter-related urinary tract infection. Final considerations: The proposed technology was developed and aims to assist nurses in bringing patients and families closer to the routines of the intensive care environment to provide safety in the contact of the patient of intensive care units with family members and in the active participation for the prevention of infections related to healthcare