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

Gravidade da lesão angiográfica coronariana e polimorfismo da APOE nas síndromes coronarianas agudas

FUNDAMENTO: Existem evidências de associação entre o polimorfismo da apolipoproteína E (APOE) e a doença coronariana, entretanto há controvérsias. OBJETIVO: Avaliar a associação entre o número de vasos coronarianos acometidos por obstrução significativa definida por angiografia, o polimorfismo da APOE e as variáveis clínicas. MÉTODOS: Estudo transversal multicêntrico que envolveu 207 pacientes (138 homens) com síndrome coronariana aguda (SCA) em Niterói (RJ - Brasil), os quais realizaram angiografia coronariana e determinação do genótipo para o polimorfismo APOE *2*3*4, pelo método de Restriction Fragment Length Polymorphism (RFLP). RESULTADOS: A frequência dos alelos APOE *2 foi de 6,8%, *3 foi de 82,5%, e *4 foi de 10,7%. Quanto ao número de vasos lesados, 27% dos pacientes apresentavam obstrução uniarterial, 33,8%, biarterial, e 39,1%, triarterial ou de tronco da coronária esquerda. O grau de lesão multivascular não se relacionou com a presença do alelo *4 (p = 0,78), mas com a idade > 55 anos (p = 0,025), o ex-tabagismo (p = 0,004) e a dislipidemia (p = 0,05) na análise multivariada e com doença arterial coronariana prévia (p = 0,05), diabete (p = 0,038) e síndrome metabólica (p = 0,021) na análise univariada. A prevalência de dislipidemia, diabete e hipertensão arterial sistêmica (HAS) foi elevada em relação a estudos semelhantes, com aumento progressivo da prevalência de HAS (p = 0,59) e de diabete (p = 0,06), de acordo com o número de vasos lesados. CONCLUSÃO: O polimorfismo da APOE não se associou ao número de vasos coronarianos com obstrução significativa em qualquer faixa etária. Por outro lado, a idade > 55 anos, o ex-tabagismo e a dislipidemia associaram-se à lesão multivascular

AVALIAÇÃO DE FATORES DE RISCO E PREVALÊNCIA DA HIPERTENSÃO ARTERIAL SISTÊMICA ENTRE OS ACADÊMICOS DO PRIMEIRO E OITAVO PERÍODOS DA FACULDADE DE MEDICINA DE BARBACENA

Objetivo: Determinar a prevalência e os fatores de risco para hipertensão arterial em acadêmicos do primeiro e oitavo períodos da Faculdade de Medicina de Barbacena. Metodologia: Foram utilizados questionários e aferição de pressão arterial para obtenção dos resultados. Valores maiores ou iguais a 140 mmHg para a pressão sistólica e/ou 90 mmHg para a pressão diastólica em pelo menos duas aferições realizadas em momentos diferentes foram considerados como risco do desenvolvimento da HA. Nos questionários foram obtidas informaçõessociodemográficas e acerca dos fatores de risco para a doença estudada. Resultados: A amostra foi constituída de 110 estudantes, dos quais 80 aceitaram participar da pesquisa. As variáveis relacionadas com o risco do desenvolvimento da HA foram: ICQ (índice cintura quadril), PAD (pressão arterial diastólica), tabagismo e etilismo. Conclusão: A prevalência de HA e de seus fatores de risco entre os acadêmicos de Medicina foi baixa, entretanto, observou-se que os que cursavam o oitavo período tiveram maior prevalência de fatores de risco, como tabagismo e etilismo

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved