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

Microwave-Assisted Synthesis and Crystal Structure of Oxo(diperoxo)(4,4\u27-di-tert-butyl-2,2\u27-bipyridine)-molybdenum(VI)

The oxodiperoxo complex MoO(O2)2(tbbpy) (tbbpy = 4,4\u27-di-tert-butyl-2,2\u27- bipyridine) was isolated from the reaction of MoO2Cl2(tbbpy) in water under microwaveassisted heating at 120 ºC for 4 h. The structure of the oxodiperoxo complex was determined by single crystal X-ray diffraction. The MoVI centre is seven-coordinated with a geometry which strongly resembles a highly distorted bipyramid. Individual MoO(O2)2(tbbpy) complexes are interdigitated along the [010] direction to form a column. The crystal structure is formed by the close packing of the columnar-stacked complexes. Interactions between neighbouring columns are essentially of van der Waals type mediated by the need to effectively fill the available space

Microwave-Assisted Synthesis and Crystal Structure of Oxo(diperoxo)(4,4'-di-tert-butyl-2,2'-bipyridine)-molybdenum(VI)

The oxodiperoxo complex MoO(O2)2(tbbpy) (tbbpy = 4,4'-di-tert-butyl-2,2'- bipyridine) was isolated from the reaction of MoO2Cl2(tbbpy) in water under microwaveassisted heating at 120 ºC for 4 h. The structure of the oxodiperoxo complex was determined by single crystal X-ray diffraction. The MoVI centre is seven-coordinated with a geometry which strongly resembles a highly distorted bipyramid. Individual MoO(O2)2(tbbpy) complexes are interdigitated along the [010] direction to form a column. The crystal structure is formed by the close packing of the columnar-stacked complexes. Interactions between neighbouring columns are essentially of van der Waals type mediated by the need to effectively fill the available space

1-Hydroxy-1,1,3,3,3-pentaphenyldisiloxane, [Si2O(OH)(Ph)5], at 100 K

In the crystal structure of the title compound, C30H26O2Si2, one Si(Ph)3 residue is bound to another Si(OH)(Ph)2 residue via a non-linear Si—O—Si bridge. The asymmetric unit is composed of two such molecules which interact, on the one hand, via a strong and highly directional O—H...O hydrogen bond involving the two neighbouring Si—OH units and, on the other, via an O—H...π contact connecting the second hydroxyl group with an adjacent phenyl group

Factors related to depressive complaints on climacteric: a cross-sectional study

Introduction: Climacterium is a period of a woman's life, between 35 and 65 years old, marked by hormonal and biopsychosocial changes that can lead to the onset of depressive symptoms. The aim was to identify the prevalence of and factors associated with depressive symptoms in climacteric women.Method: An exploratory study, of cross-sectional type research, was carried out in Cajazeiras, Paraíba, Brazil, from January 2013 to March 2014. The sample included 411 women aged 40 to 60. Data collection was done by interviews using a structured script. Mean and standard deviation of age variables and per capita income were identified. For correlation between the variables, we used odds ratios (CI 95%), the X² and Fisher's Exact Test, with a significance level of 5%.Results: The average age of women was 49.73 (± 5.799) years. Depressive complaints prevailed in 68.1%, associated with advanced age (p = 0.009; OR: 1693 [CI 1113–2577]), low education (p = 0.022; OR: 1568 [CI 1032–2382]), lower per capita income (p = 0.043; OR: 1553 [CI 1012–2384]), unpaid labor activity (p = 0.013; OR: 1641 [CI 1079–2495]), menopausal/postmenopausal (p = 0.011; OR: 1667 [CI 1092–2545]), sexual activity with complaint (p < 0.001 [OR: 2.777; [CI 1628–4737]) and the presence of at least one disease (p < 0.001; OR: 2230 [CI 1445–3440]).Conclusion: Understanding and addressing the factors related to depressive complaints during climacterium supports the importance of conducting disease prevention programmes, thus delaying the onset of morbidity and improving quality of life

Revisão sistemática de teorias: uma ferramenta para avaliação e análise de trabalhos selecionados

O objetivo deste estudo é relatar a experiência de construção e utilização de um instrumento de captação e análise dos referenciais teórico-metodológicos de estudos, em revisões sistemáticas da literatura. O que se pretende é que investigadores disponham de um instrumento adequado para avaliar os estudos que expõem seus fundamentos teóricos, e que os profissionais de saúde tenham acesso a explicações teóricas para os resultados de estudos e suas aplicações nas práticas em saúde. Desarticulação entre teoria e prática pode levar à falta de motivação no local de trabalho e a práticas de reprodução de procedimentos sem consciência dos conceitos subjacentes que embasam a interpretação de um fenômeno saúde-doença. Chama-se a atenção dos pesquisadores no sentido de realizar análises sobre os fundamentos teóricos dos fenômenos saúde-doença em estudo e propõe-se questões relacionadas aos critérios de inclusão, apreciação crítica e extração de dados a serem abordadas em instrumentos