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

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off

Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

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

Internet of things (iot): um cenário guiado por patentes industriais

The Internet of Things (IoT) or Internet of Things is featured on the global stage and has provided the development of interesting applications of geo-referencing, identifying people, object tracking, security systems and process automation. These applications when appropriate the IoT technology amplify the potential of innovations in products and services, sometimes conditioning other meanings for man-machine interactions. The combination of IoT with Bio and Nanotechnology, electronic sensors (RFID and RSSF), smartphones and smart embedded systems, can motivate small businesses and startups to develop new technologies that heat the world economy. Thus, the exploratory research proposed in this study included a survey of requests for IoT patent and demonstrated that China and the United States are the largest depositors of patents and that investments in PD&I with the IoT technology are small in other countries mainly in Brazil. Theresults achieved also indicate that the IoT can be applied to governance and development projects of autonomous automation systems for control and monitoring of rational consumption of non renewable natural resources in smart cities, and thus provide innovative solutions to urban problems, creating new business opportunities that may offer a significant advantage for the consumer market when you can use this disruptive technology in industrial scale.A Internet of Things (IoT) ou Internet das Coisas é destaque no cenário global e tem proporcionado o desenvolvimento de interessantes aplicações de georreferenciamento, identificação de pessoas, rastreamento de objetos, sistemas de segurança e automação de processos. Essas aplicações quando se apropriam da tecnologia de IoT amplificam o potencial das inovações em produtos e serviços, as vezes condicionando outros significados para interações homem-máquina. A combinação da IoT com a Bio e Nanotecnologia, sensores eletrônicos (RFID e RSSF), smartphones e sistemas embarcados inteligentes, pode motivar as microempresas e Startups a desenvolverem novas tecnologias que aquecem a economia mundial. Sendo assim, a pesquisa exploratória proposta nesse estudo contou com uma prospecção de pedidos de patentes de IoT e demonstrou que a China e Estados Unidos são os maiores depositantes de patentes, e ainda que investimentos em PD&I com a tecnologia da IoT são pequenos nos demais países, principalmente no Brasil. Os resultados alcançados também indicam que a IoT pode ser aplicada em projetos de governança e desenvolvimento de sistemas de automação autônomos para controle e monitoramento do consumo racional de recursos naturais não renováveis em cidades inteligentes, e dessa forma prover soluções inovadoras para problemas urbanos, criando novas oportunidades de negócios que podem oferecer um diferencial significativo para o mercado consumidor quando for possível utilizar essa tecnologia disruptiva em escala industria

Anticonvulsant, sedative, anxiolytic and antidepressant activities of the essential oil of annona vepretorum in mice: involvement of GABAergic and serotonergic systems

Annona vepretorum is an endemic species of the Caatinga biome, known in Northeastern Brazil as "araticum" and/or "pinha da Caatinga". In the present study it was evaluated the neuropharmacological potential of the essential oil obtained from the leaves of Annona vepretorum, as well as of the inclusion complexes of oil obtained with cyclodextrin. Thus, were used neuropharmacological tests already consolidated in the literature like open-field, elevated plus maze, rota-rod, tail suspension test, thiopental-induced sleep test, among others. The acute treatment of essential oil (EO) has anxiolytic, sedative, antiepileptic and antidepressant effects. The anxiolytic and anticonvulsant effects seems to be related to the GABAergic system, probably in the receptor subtypes that mediate the effects of the benzodiazepines, to generate anxiolytic activity. The sedative effect seems to be involved with other signaling pathways. The antidepressant effect of EO seems to be related to its action on serotonergic receptors. It was verified that some behavioral parameters were improved with the oil complexed with beta-cyclodextrin, but this effect was not uniform for all the doses and tests used. Further studies are needed in order to use other options for drug delivery systems. Thus, the essential oil of Annona vepretorum is a promising agent with neurobiological activity and a potential target for drug discovery, since the natural products such as medicinal plants have been a source of new therapeutic proposals11110741087CAPES - Coordenação de Aperfeiçoamento de Pessoal e Nível SuperiorCNPQ - Conselho Nacional de Desenvolvimento Científico e TecnológicoFACEPE - Fundação de Amparo à ciência E Tecnologia Do Estado De PernambucoFAPESP – Fundação de Amparo à Pesquisa Do Estado De São Paulonão temnão temnão temnão te

A social and ecological assessment of tropical land uses at multiple scales:the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far