Human Hantavirus Infection, Brazilian Amazon

Tropical Medicine Foundation of Amazonas. Manaus, AM, Brasil / Amazonas State University. Manaus, AM, Brasil / Nilton Lins University Center. Manaus, AM, Brasil.Tropical Medicine Foundation of Amazonas. Manaus, AM, Brasil / Amazonas State University. Manaus, AM, Brasil / Nilton Lins University Center. Manaus, AM, Brasil / University of Brasília. Brasília, DF, Brasil.Tropical Medicine Foundation of Amazonas. Manaus, AM, Brasil.Tropical Medicine Foundation of Amazonas. Manaus, AM, Brasil / Amazonas State University. Manaus, AM, Brasil / Nilton Lins University Center. Manaus, AM, Brasil.Health Surveillance Foundation. Manaus, AM, Brasil.Ministry of Health. Brasília, DF, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Belém, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Belém, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Belém, PA, Brasil.Tropical Medicine Foundation of Amazonas. Manaus, AM, Brasil / Amazonas State University. Manaus, AM, Brasil / Nilton Lins University Center. Manaus, AM, Brasil / University of Brasília. Brasília, DF, Brasil

Influência das Drogas Antiarrítmicas nos Limiares de Desfibrilaçao em Pacientes Portadores de Cardioversor-Desfibrilador Implantável

Atualmente os cardioversores-desfibriladores implantáveis, em funçao de sua eficácia e segurança, tornaram-se a primeira opçao de tratamento na profilaxia secundária de morte súbita e, em algumas situaçoes, na profilaxia primária. No entanto, o emprego desta prótese comumente está associado ao uso de drogas antiarrítmicas em pacientes de alto risco para morte súbita. Os antiarrítmicos freqüentemente sao julgados como responsáveis por alteraçoes dos limiares de desfibrilaçao ventricular, especialmente a amiodarona. Portanto um conhecimento básico sobre a interaçao entre estas drogas e limiares de desfibrilaçao é fundamental, no momento da seleçao de um determinado agente

Influência das Drogas Antiarrítmicas nos Limiares de Desfibrilaçao em Pacientes Portadores de Cardioversor-Desfibrilador Implantável

Atualmente os cardioversores-desfibriladores implantáveis, em funçao de sua eficácia e segurança, tornaram-se a primeira opçao de tratamento na profilaxia secundária de morte súbita e, em algumas situaçoes, na profilaxia primária. No entanto, o emprego desta prótese comumente está associado ao uso de drogas antiarrítmicas em pacientes de alto risco para morte súbita. Os antiarrítmicos freqüentemente sao julgados como responsáveis por alteraçoes dos limiares de desfibrilaçao ventricular, especialmente a amiodarona. Portanto um conhecimento básico sobre a interaçao entre estas drogas e limiares de desfibrilaçao é fundamental, no momento da seleçao de um determinado agente

Water relations and photosynthesis as criteria for adequate irrigation management in 'Tahiti' lime trees

Irrigation scheduling based on soil moisture status is one of the most useful methods because of its practicality and low cost. The effects of available soil water depletion on evapotranspiration (ETc), transpiration (E), leaf water potential at predawn (psiP) and midday (psiM), stomatal conductance (gs) and net CO2 assimilation (A) in lime 'Tahiti' trees (Citrus latifolia) were evaluated to improve irrigation schedule and minimize water use without causing water stress. The trees were spaced 7 <FONT FACE=Symbol>&acute;</FONT> 4 m and drip-irrigated by four drippers with the available soil water content (AWC) depleted by suspension of irrigation (40 days). Leaf water potential was measured on a pressure chamber (psiP and psiM) and leaf gas exchange was measured by infrared gas analyzer (E, gs and A). Evapotranspiration was determined with the aid of weighing lysimeter. Water soil content and potential (psiS) were monitored with TDR probes and tensiometers, respectively, installed at 0.3, 0.6 and 0.9 m depths. Meteorological variables were monitored with an automatic weather station in the experimental area. The threshold AWC level for the onset of ETc decline was 43%, and 60% for gs, A, E and Y P. Also, psiP was more sensitive to AWC than psiM, and is therefore a better tool for irrigation. When AWC was around 60%, values of psiP and psis were -0.62 MPa and -48.8 kPa, respectively

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