Avaliação de atividade de ensino, pesquisa e extensão em vigilância do desenvolvimento infantil: a perspectiva de graduandos em terapia ocupacional

A Atividade Curricular de Integração Ensino, Pesquisa e Extensão (ACIEPE) “Desenvolvimento infantil de zero a seis anos e a atuação da Terapia Ocupacional”, oferecida por docentes do curso de Terapia Ocupacional da Universidade Federal de São Carlos, de março a setembro de 2013, teve por objetivo criar um diálogo entre educadores da rede municipal de educação infantil e graduandos sobre temas que envolvem a promoção do desenvolvimento infantil no cotidiano familiar e escolar. Trata-se de um relato de experiência que descreve a avaliação dos estudantes acerca dos conteúdos abordados nesta ACIEPE discutindo as implicações desta atividade na formação. Estudo investigativo descritivo, de abordagem qualitativa, com aplicação de questionário para dezenove alunos que participaram da ACIEPE. Destacam-se ganhos: na vivência interdisciplinar; no contato com os educadores; na produção de intervenções e no aprofundamento sobre as práticas de Terapia Ocupacional. Estudantes também identificam a experiência como desafiadora e afirmam ter obtido maior aprofundamento sobre as possibilidades da prática de Terapia Ocupacional no contexto da educação infantil, aprimorando seus conhecimentos acerca do processo de vinculação tanto com as crianças quanto com os educadores.The Curricular Activity of Integration between Education, Research and Extension (ACIEPE) “Child development from birth to six years and the work of Occupational Therapy”, offered by the faculty of Occupational Therapy of Federal University of São Carlos between March and September 2013, aimed to create a dialogue between educators of the municipal network of early childhood education and undergraduate students on issues involving the promotion of child development in family and school routines. This is an experience report describing the students’ evaluation of the content covered in this ACIEPE, discussing the implications of this activity in education. It is a descriptive investigative study of qualitative approach with the application of a questionnaire to nineteen students who participated in the ACIEPE. We highlight gains in the interdisciplinary experience, in communication with teachers, in the production of interventions and in increasing knowledge about Occupational Therapy practices. Students also identify the experience as challenging and claim to have obtained greater deepening of the possibilities of Occupational Therapy practice in the context of early childhood education, improving their knowledge about the binding process with both children and teachers

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

The Helicobacter pylori Genome Project : insights into H. pylori population structure from analysis of a worldwide collection of complete genomes

Helicobacter pylori, a dominant member of the gastric microbiota, shares co-evolutionary history with humans. This has led to the development of genetically distinct H. pylori subpopulations associated with the geographic origin of the host and with differential gastric disease risk. Here, we provide insights into H. pylori population structure as a part of the Helicobacter pylori Genome Project (HpGP), a multi-disciplinary initiative aimed at elucidating H. pylori pathogenesis and identifying new therapeutic targets. We collected 1011 well-characterized clinical strains from 50 countries and generated high-quality genome sequences. We analysed core genome diversity and population structure of the HpGP dataset and 255 worldwide reference genomes to outline the ancestral contribution to Eurasian, African, and American populations. We found evidence of substantial contribution of population hpNorthAsia and subpopulation hspUral in Northern European H. pylori. The genomes of H. pylori isolated from northern and southern Indigenous Americans differed in that bacteria isolated in northern Indigenous communities were more similar to North Asian H. pylori while the southern had higher relatedness to hpEastAsia. Notably, we also found a highly clonal yet geographically dispersed North American subpopulation, which is negative for the cag pathogenicity island, and present in 7% of sequenced US genomes. We expect the HpGP dataset and the corresponding strains to become a major asset for H. pylori genomics

Proportional weight loss in six months as a risk factor for mortality in stage IV non-small cell lung cancer

ABSTRACT Objective: To evaluate different weight loss (WL) cut-off points as prognostic markers of 3-month survival after diagnosis of stage IV non-small cell lung cancer (NSCLC). Methods: This was a prospective study involving 104 patients with metastatic (stage IV) NSCLC who were admitted to a cancer treatment center in southern Brazil between January of 2014 and November of 2016. We evaluated total WL and WL per month, as well as WL and WL per month in the 6 months preceding the diagnosis. The patients were followed for 3 months after diagnosis. A Cox proportional hazards regression model and Kaplan-Meier curves were used in order to evaluate 3-month survival. Results: The median WL in the 6 months preceding the diagnosis was 6% (interquartile range, 0.0-12.9%). Patients with WL ≥ 5% had a median survival of 78 days, compared with 85 days for those with WL < 5% (p = 0.047). Survival at 3 months was 72% for the patients with WL ≥ 5% (p = 0.047), 61% for those with WL ≥ 10% (p < 0.001), and 45% for those with WL ≥ 15% (p < 0.001). In the multivariate analysis, the hazard ratio for risk of death was 4.51 (95% CI: 1.32-15.39) for the patients with WL ≥ 5%, 6.34 (95% CI: 2.31-17.40) for those with WL ≥ 10%, and 14.17 (95% CI: 5.06-39.65) for those with WL ≥ 15%. Conclusions: WL in the 6 months preceding the diagnosis of NSCLC is a relevant prognostic factor and appears to be directly proportional to the rate of survival at 3 months