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

Updated cardiovascular prevention guideline of the Brazilian Society of Cardiology: 2019

Sem informação113478788

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

A Method For The Production Of Olefins, An Olefin, A Polyolefin, And Use Of The Polyolefin

PROCESSO PARA PRODUÇÃO DE OLEFINAS, POLIOLEFINA, E, USO DA POLIOLEFINA. A presente invenção refere-se a um processo de produção de uma olefina a partir de pelo menos uma matéria prima natural renovável. Mais especificamente, a presente invenção trata de um processo onde eteno ou propeno é obtida com alto rendimento e alta produtividade através da reação de eletrodescarboxilação anódica de ácidos carboxílicos, respectivamente ácido propiemico ou ácido butírico, produzidos a partir de fermentação, preferencialmente de açúcares. O processo para gerar a olefina é simples, de baixo custo e apresenta baixa emissão de gases de origem fóssil causadores de efeito estufa.BRPI0904979 (A2)C07C11/04C07C11/06C08F10/02C08F10/06BR2009PI04979C07C11/04C07C11/06C08F10/02C08F10/0

A Method For The Production Of Olefins, An Olefin, A Polyolefin, And Use Of The Polyolefin

Resumo não disponível.EP2507342 (A2)C10G3/00EP20100805373C10G3/00WO2007095215 (A2)WO2009070858 (A1)US2011111475 (A1)XP55002845XP5500271

Time-To-Treatment of Acute Coronary Syndrome and Unit of First Contact in the ERICO Study

Abstract Background: To the best of our knowledge, there are no studies evaluating the influence of the unit of the first contact on the frequency and time of pharmacological treatment during an acute coronary syndrome (ACS) event. Objectives: The main objective was to investigate if the unit of first contact influenced the frequency and time of aspirin treatment in the Strategy of Registry of Acute Coronary Syndrome (ERICO) study. Methods: We analyzed the pharmacological treatment time in 830 ERICO participants - 700 individuals for whom the hospital was the unit of first contact and 130 who initially sought primary care units. We built logistic regression models to study whether the unit of first contact was associated with a treatment time of less than three hours. Results: Individuals who went to primary care units received the first aspirin dose in those units in 75.6% of the cases. The remaining 24.4% received aspirin at the hospital. Despite this finding, individuals from primary care still had aspirin administered within three hours more frequently than those who went to the hospital (76.8% vs 52.6%; p<0.001 and 100% vs. 70.7%; p=0.001 for non ST-elevation ACS and ST-elevation myocardial infarction, respectively). In adjusted models, individuals coming from primary care were more likely to receive aspirin more quickly (odds ratio: 3.66; 95% confidence interval: 2.06-6.51). Conclusions: In our setting, individuals from primary care were more likely to receive aspirin earlier. Enhancing the ability of primary care units to provide early treatment and safe transportation may be beneficial in similar settings

Microorganisms And Process For Producing N-propanol

The invention provides fermentative methods for producing n-propanol. The methods of the invention involve providing a suitable carbon source, a microorganism expressing the di carboxylic acid pathway, reducing equivalents, and at least one gene coding for an enzyme that catalyzes the conversion of propionate/propionyl-CoA into n propanol. The methods further involve contacting the carbon source and reducing equivalents with the microorganism under conditions favorable for the production of n-propanol. Also provided are methods for producing propylene and polypropylene from the n-propanol and microorganisms suitable for use in the methods of the invention.CA2772292 (A1)C12P7/04CA20102772292C12P7/0

Microorganisms And Process For Producing N-propanol

Resumo não disponível.KR20120083391 (A)C12P7/04C12N15/52C12N15/74KR20127009025C12P7/04C12N15/52C12N15/7