7 research outputs found
Impacto da pandemia de COVID-19 no ensino de medicina veterinária em universidades públicas da região sudeste do Brasil: Impact of the COVID-19 pandemic on veterinary medicine teaching in public universities in the southeast region of Brazil
O ensino remoto tornou-se realidade nas instituições de ensino públicas e privadas do Brasil, como uma das medidas preventivas decorrente do novo cenário pandêmico mundial imposto pelo novo Coronavírus. O presente trabalho teve como objetivo avaliar as dificuldades enfrentadas em cursos de Medicina Veterinária de universidades públicas do Sudeste do Brasil diante desse novo molde educacional, segundo a opinião de discentes e docentes. A obtenção desses dados foi por meio de dois questionários elaborados na plataforma “Google Forms” e compartilhados por plataformas digitais (E-mail, Instagram, Facebook e WhatsApp), sendo que, ao final, foram coletadas 209 respostas (98,5% discentes e 1,5% coordenadores) de 16 universidades públicas. O questionário direcionado aos discentes buscou obter informações sobre identificação e impacto da pandemia na graduação, desempenho acadêmico, acessibilidade e apoio tecnológico, vida pessoal e saúde mental. Já o formulário direcionado aos coordenadores objetivou coletar informações sobre identificação e o impacto da pandemia na graduação, acessibilidade e apoio tecnológico e experiência como profissional. Os resultados demonstram que, na opinião do público-alvo, a pandemia afetou de forma negativa o ensino e vida pessoal, impactando áreas como aproveitamento acadêmico e saúde mental. Consequentemente, mesmo que os entrevistados tenham apontado obter melhores notas e médias ponderadas durante o ensino remoto, os mesmos julgaram que seu conhecimento e aprendizado decaíram e que houve preocupação com o prejuízo social e educacional em sua formação e futuro
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
Care at the first postnatal hour in two hospitals of the Adequate Birth Project: qualitative analysis of experiences in two stages of the Healthy Birth research
Plain language summary This study aims to analyze the care model of the first postpartum hour offered by two hospitals participating in the Adequate Childbirth Project (PPA), a quality improvement project to enhance normal delivery and reduce unnecessary cesarean sections in Brazilian private hospital. It is a qualitative analysis, based on the narrative of 102 women attended at two hospitals participating in the PPA. Categories that emerged from the analysis: “First hour; dimension of time and care expressed in the lived experience” and “Interferences in care in the first hour of life”. Most women expressed a chronological time of skin-to-skin contact far from the ideal recommended in the first postpartum hour; however, they valued the experience and its meaning. Two barriers were observed in this care process: the interruption of skin-to-skin contact for neonatal care and the transfer to the recovery room, without observing the duration of the "golden hour". We can conclude that women evaluated the service positively, with indications that point to the sustainability of the PPA. Information during antenatal care to increase women´s autonomy are needed to improve the implementation of these practices and access to their health benefits