Contribuições das ecovilas rurais à Agenda 2030 das Nações Unidas: evidências de uma pesquisa aplicada no estado de São Paulo

Ecovillages are social organizations derived from the pacifist movement of alternative communities and the counterculture movement for ecology and human rights in the 1970s. Such communities play a relevant social and environmental role, constituting possible proposals for a conscious transition towards a more sustainable society. In this context, based on examples of rural ecovillages in São Paulo, the present study aimed to analyze the main contributions of these social organizations to the implementation of the 2030 Agenda in Brazil. The study was exploratory and descriptive, based on a qualitative and empirical approach. Additionally, in the bibliographic and documental survey stage, field research was carried out involving semi-structured interviews with twenty members of six rural ecovillages located in the east of the state of São Paulo in 2020 and 2021. Collected data processing was based on Content Analysis, supported by Atlas.ti software. Despite the sample limitations of the study, the results suggest significant contributions of ecovillages to 16 of the 17 Sustainable Development Goals (SDGs), in which actions of restoration of native vegetation in continuous territories, water and food production, collective management, and equitable participation were detected.As ecovilas são organizações sociais derivadas do movimento pacifista das comunidades alternativas e do movimento de contracultura pela ecologia e pelos direitos humanos da década de 1970. Tais comunidades detêm um relevante protagonismo social e ambiental, constituindo propostas possíveis de transição consciente rumo a uma sociedade mais sustentável. Nesse contexto, a partir da aproximação de exemplos de ecovilas rurais paulistas, o presente estudo teve o objetivo de analisar as principais contribuições destas organizações sociais para a implementação da Agenda 2030 no Brasil. O estudo, de caráter exploratório e descritivo, baseou-se em uma abordagem qualitativa e empírica. Além da etapa de levantamento bibliográfico e documental, foi realizada uma pesquisa de campo envolvendo a aplicação de entrevistas semiestruturadas, com vinte membros de seis ecovilas rurais, localizadas no leste do estado de São Paulo, nos anos de 2020 e 2021. O tratamento dos dados coletados baseou-se na Análise de Conteúdo, com apoio do software Atlas.ti. Mesmo consideradas as limitações amostrais da pesquisa, os resultados sugerem importantes contribuições das ecovilas a 16 dos 17 Objetivos do Desenvolvimento Sustentável (ODS), em que ações de regeneração de cobertura verde em territórios contínuos, produção de água e alimentos, gestão coletiva e participação equitativa foram constatadas

Comprehensive geriatric assessment as a morbimortality predictor in patients vulnerable to the chemotherapy treatment

Objectives: to determine the predictive value of the Comprehensive geriatric assessment (CGA) regarding toxicity and mortality in elderly cancer patients classified as vulnerable who were submitted to chemotherapy. Method: A prospective cohort study was performed with data gathered from the database already built by the anchor project and available online. Tables of the frequency of distribution of the studied variables were created. The chi-square test was used in the univariate analysis, and the Fisher test when indicated. The level of significance of 5% were considered and all the tests were applied with a confidence of 95%. Results: The frequency of patients classified as vulnerable by CGA was 40.2%, and the mortality rate in the total number of patients was 37%. The association between nutritional status and mortality (p=0.003) was observed, where most of the denuded patients (51.4%) died during follow-up, and most patients (46.5%) had some type of complication. Conclusion: There was an association between the increase in mortality in patients vulnerable to chemotherapy (p=0,046), when compared to healthy patients. The results of this study follow the literature on the use of CGA can help oncologists and geriatricians in their decision making.Objetivos: O objetivo desse estudo foi determinar o valor preditivo da Avaliação Geriátrica Ampla (AGA) em relação à toxicidade e mortalidade nos pacientes oncológicos idosos classificados como vulneráveis, submetidos à quimioterapia. Método: Foi realizado um estudo de coorte prospectivo com coleta de informações extraídas de banco de dados já construído do projeto ÂNCORA e disponível online. Foram construídas tabelas de distribuição de frequência das variáveis estudadas e na análise univariada foi usado o chi-quadrado e Teste de Fisher, quando indicado. Por fim, considerou-se o nível de significância de 5% e todos os testes foram aplicados com 95% de confiança. Resultados: Em uma amostra total de 254 pacientes, o percentual de mortalidade foi de 37% e de intercorrências foi de 46,5%, sendo infecção a mais frequente. Houve associação entre o déficit nutricional e o aumento da mortalidade (p=0,003). Conclusão: Observou-se associação estatística entre o aumento da mortalidade em pacientes vulneráveis que realizaram quimioterapia (p=0,046), quando comparados aos pacientes saudáveis. Os resultados deste estudo reforçam constatações da literatura como o uso da AGA pode ajudar oncologistas e geriatras em suas tomadas de decisão

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

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

Núcleos de Ensino da Unesp: artigos 2014: volume 3: políticas públicas e organização escolar e tecnologias da informação e comunicação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Núcleos de Ensino da Unesp: artigos 2010: volume 4: as disciplinas escolares, os temas transversais e o processo de educação

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP