AGROECOLOGIA: UMA PROPOSTA DE TRABALHO COLETIVO EM TEMPOS DE PANDEMIA

Este artigo busca refletir sobre as experiências realizadas na Escola do Campo Municipal Rui Barbosa, no município de Araucária (PR), a partir da integração da temática da Agroecologia ao planejamento da rede de ensino durante a pandemia de Covid-19. O trabalho foi fundamentado por meio do diálogo com as experiências vividas e leituras. As experiências que ocorreram durante a pandemia, no ano de 2020, buscavam entrelaçar a Agroecologia ao Planejamento Referencial da rede de ensino, tornando possível uma escola acolhedora para seus estudantes e comunidade sem deixar de atender aos Componentes Curriculares obrigatórios do fundamental. Durante o processo de desenvolvimento das experiências, observou-se comprometimento, protagonismo e responsabilidade dos estudantes em participar das aulas e das atividades, bem como estímulo à curiosidade crítica, a partir do trabalho coletivo destes e das famílias envolvidas. Com as experiências de trabalho, os docentes fizeram o planejamento coletivo e participativo, desde o início da implantação até a finalização da proposta.Palavras-chave: Escola do campo; Diálogo; Experiências

Anticuerpos antifosfatidilserina en pacientes con síndrome antifosfolipido primario y en individuos sanos

Objective: To investigate the prevalence of IgM, IgG and IgA anti-phosphatidylserine (aPS) antibodies in patients with primary antiphospholipid syndrome (PAPS) and in healthy controls; to analyze sensitivity, and specificity of aPS antibodies for the diagnosis of APS and finally to assess associations between aPS antibodies with specific APS manifestations. Methods: A cross-sectional study was performed in 36 female PAPS patients and in 200 blood donors. IgM, IgG, and IgA antiphosphatidylserine (aPS) antibodies were tested in PAPS patients and controls using an in house technique and a commercial kit. PAPS patients were also tested for lupus anticoagulant (LAC), IgM and IgG anticardiolipin (aCL) antibodies, and for anti-β2 glycoprotein I (anti-β2GPI) antibodies. Results: The prevalence of IgM, IgG, and IgA aPS antibodies in PAPS patients was as follows: 10.8-16.7%, 32.4-35.7%, and 16.1%, respectively. Although a relatively low sensitivity was found for aPS antibodies in PAPS, the specificity of IgM, IgG, and IgA aPS antibodies for PAPS was 94.7-98.9%, 95.3-96.3%, and 97.9%, respectively. All aPS isotypes were significantly associated with obstetric manifestations of APS. IgM aPS antibodies were associated with an increased risk of venous and arterial thrombosis. IgA aPS antibodies were associated with arterial thrombosis whereas IgG aPS antibodies were associated with an increased risk of venous thrombotic events. IgM and IgG aPS antibodies were frequently found in association with anti-β2GPI antibodies. Conclusions: The prevalence of aPS antibodies is low in PAPS but these antibodies are highly specific for PAPS and are associated with specific PAPS manifestations.Objetivo: Investigar la prevalencia de anticuerpos anti-fosfatidilserina (aFS) de tipo IgM, IgG e IgA en pacientes con síndrome antifosfolípido primario (SAFP) y en controles sanos; analizar la sensibilidad y la especificidad de los anticuerpos aFS para el diagnóstico de aFS y finalmente, evaluar las asociaciones entre los anticuerpos específicos aFS y las manifestaciones clínicas del SAF. Métodos: Estudio transversal de 36 pacientes mujeres con SAFP y 200 donantes de sangre. Se determinaron anticuerpos antifosfatidilserina de tipo IgM, IgG e IgA en pacientes y controles con SAFP utilizando una técnica propia y un kit comercial. A los pacientes com SAFP también se les determinó el anticoagulante lúpico (ACL), los anticuerpos anticardiolipina IgM e IgG (aCL), y los anticuerpos anti-β2 glucoproteína I (anti-β2GPI). Resultados: La prevalencia de los anticuerpos AFS IgM, IgG, IgA en pacientes con SAFP fue la siguiente: 10,8-16,7%, 32,4-35,7%, y 16,1%, respectivamente. Aunque se encontro una sensibilidad relativamente baja para los anticuerpos AFS en el SAFP, la especificidad de los anticuerpos AFS IgM, IgG, IgA para el SAFP fue 94,7-98,9%, 95,3-96,3% y 97,9%, respectivamente. Todos los isotipos de AFS se asociaron significativamente con las manifestaciones obstétricas. Los anticuerpos AFS IgM se asociaron con un riesgo aumentado de trombosis venosa y arterial. Los anticuerpos AFS IgA se asociaron con la trombosis arterial mientras que los anticuerpos AFS IgG se asociaron con un mayor riesgo de eventos trombóticos venosos. Los anticuerpos AFS IgM e IgG se encuentran con frecuencia em asociación con anticuerpos anti-β2GPI. Conclusiones: La prevalencia de anticuerpos AFS es baja en SAFS pero estos anticuerpos son altamente específicos para SAFP y se asocian con manifestaciones SAFP específicos

Bacterial vaginosis, cervical Human Papillomavirus infection and cervical cytological abnormalities in adult women in Central Brazil: A cross-sectional study

Introduction: Bacterial vaginosis is the most common cause of vaginal discharge and occurs when there is an imbalance in the vaginal microbiota, predominantly composed of Lactobacillus spp. Human Papillomavirus is the most common sexually transmitted virus in the world. Persistent infection with high-risk Human Papillomavirus genotypes is the main cause of the development of cervical intraepithelial neoplasia and cervical cancer. Objective: To investigate the association between bacterial vaginosis and cervical Human Papillomavirus infection and between bacterial vaginosis and cervical cytological abnormalities in adult women. Methods: Cross-sectional study carried out in a gynecology outpatient clinic of the public health network. A total of 202 women were included in the study and underwent gynecological examination with cervical specimen collection. Cervical cytopathological examinations and bacterioscopy by the Nugent method were performed to identify bacterial vaginosis, and PCR and reverse hybridization were carried out for Human Papillomavirus detection and genotyping. Bivariate analysis was performed to investigate the association between bacterial vaginosis and cervical Human Papillomavirus infection, and between bacterial vaginosis and cervical cytological abnormalities. The odds ratio was calculated, with the respective 95% confidence intervals (95%CI) and 5% significance level (p≤0.05). Results: The prevalence of bacterial vaginosis was 33.2% (67/202), the prevalence of cervical Human Papillomavirus infection was 38.6% (78/202) and the prevalence of cervical cytological abnormalities was 6.0% (12/202). Bivariate analysis showed no significant association between bacterial vaginosis and cervical Human Papillomavirus infection (OR 0.69; 95% CI 0.37–1.27; p=0.23), or between bacterial vaginosis and cervical cytological abnormalities (OR 0.65; 95%CI 0.17–2.50; p=0.54). Conclusion: In this study, bacterial vaginosis did not represent a risk factor for cervical Human Papillomavirus infection or for the presence of cervical cytological abnormalities in the investigated adult women

Implantação do protocolo de termorregulação para recém-nascido em procedimentos cirúrgicos

Objetivo: Descrever a implantação do protocolo de termorregulação para procedimentoscirúrgicos em recém-nascido (RN).Métodos: Relato de experiência, realizado em uma unidade neonatal em Salvador-BA, noperíodo de janeiro de 2016 a janeiro 2017. O ciclo Plan, Do, Check, Action norteou aconstrução, a implantação e a aplicabilidade do protocolo.Resultados: Implantação do protocolo que possibilitou a redução de eventos adversos porinstabilidade térmica durante procedimentos cirúrgicos e introdução de novas tecnologias.Conclusão: O protocolo possibilitou a melhoria e o fortalecimento das práticas assistenciaisrelacionadas com a cirurgia segura em RN.Palavras-chave: Segurança do paciente. Recém-nascido. Regulação da temperatura corporal.Enfermagem

Changes in leaf functional traits with leaf age: when do leaves decrease their photosynthetic capacity in Amazonian trees?

Most leaf functional trait studies in the Amazon basin do not consider ontogenetic variations (leaf age), which may influence ecosystem productivity throughout the year. When leaf age is taken into account, it is generally considered discontinuous, and leaves are classified into age categories based on qualitative observations. Here, we quantified age-dependent changes in leaf functional traits such as the maximum carboxylation rate of ribulose-1,5-biphosphate carboxylase/oxygenase (Rubisco) (Vcmax), stomatal control (Cgs%), leaf dry mass per area and leaf macronutrient concentrations for nine naturally growing Amazon tropical trees with variable phenological strategies. Leaf ages were assessed by monthly censuses of branch-level leaf demography; we also performed leaf trait measurements accounting for leaf chronological age based on days elapsed since the first inclusion in the leaf demography, not predetermined age classes. At the tree community scale, a nonlinear relationship between Vcmax and leaf age existed: young, developing leaves showed the lowest mean photosynthetic capacity, increasing to a maximum at 45 days and then decreasing gradually with age in both continuous and categorical age group analyses. Maturation times among species and phenological habits differed substantially, from 8 ± 30 to 238 ± 30 days, and the rate of decline of Vcmax varied from −0.003 to −0.065 μmol CO2 m−2 s−1 day−1. Stomatal control increased significantly in young leaves but remained constant after peaking. Mass-based phosphorus and potassium concentrations displayed negative relationships with leaf age, whereas nitrogen did not vary temporally. Differences in life strategies, leaf nutrient concentrations and phenological types, not the leaf age effect alone, may thus be important factors for understanding observed photosynthesis seasonality in Amazonian forests. Furthermore, assigning leaf age categories in diverse tree communities may not be the recommended method for studying carbon uptake seasonality in the Amazon, since the relationship between Vcmax and leaf age could not be confirmed for all trees

Direct evidence for phosphorus limitation on Amazon forest productivity

The productivity of rainforests growing on highly weathered tropical soils is expected to be limited by phosphorus availability1. Yet, controlled fertilization experiments have been unable to demonstrate a dominant role for phosphorus in controlling tropical forest net primary productivity. Recent syntheses have demonstrated that responses to nitrogen addition are as large as to phosphorus2, and adaptations to low phosphorus availability appear to enable net primary productivity to be maintained across major soil phosphorus gradients3. Thus, the extent to which phosphorus availability limits tropical forest productivity is highly uncertain. The majority of the Amazonia, however, is characterized by soils that are more depleted in phosphorus than those in which most tropical fertilization experiments have taken place2. Thus, we established a phosphorus, nitrogen and base cation addition experiment in an old growth Amazon rainforest, with a low soil phosphorus content that is representative of approximately 60% of the Amazon basin. Here we show that net primary productivity increased exclusively with phosphorus addition. After 2 years, strong responses were observed in fine root (+29%) and canopy productivity (+19%), but not stem growth. The direct evidence of phosphorus limitation of net primary productivity suggests that phosphorus availability may restrict Amazon forest responses to CO2 fertilization4, with major implications for future carbon sequestration and forest resilience to climate change

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