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

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

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

Mastite em pequenos ruminantes no Brasil Small ruminant mastitis in Brazil

Este artigo objetivou revisar as informações recentes sobre mastite em pequenos ruminantes, abrangendo etiologia, epidemiologia, aspectos de controle e profilaxia. Houve a preocupação em reunir resultados de estudos desenvolvidos no Brasil, uma vez que a mastite tem a interferência de uma série de fatores, como fatores ambientais e outros decorrentes dos sistemas de manejo empregados, condições essas determinantes para etiologia e epidemiologia da enfermidade. A prevalência da mastite em caprinos varia entre 22 e 75%, sendo que os casos de mastite subclínica são os mais frequentes. Existe uma carência de trabalhos voltados para os aspectos epidemiológicos da enfermidade no nosso país. Contudo, observa-se que a mastite vem assumindo importância cada vez maior nos rebanhos voltados para produção de carne, sendo encontrados resultados de pesquisa, principalmente na espécie ovina. A mastite estafilocócica corresponde à maior fração nas infecções intramamárias em pequenos ruminantes. O caráter zoonótico de alguns patógenos, a exemplo do Staphylococcus aureus ressalta a importância da implantação de programas de controle em propriedades leiteiras. Algumas das ferramentas de diagnóstico ainda necessitam de padronização, principalmente para espécie caprina que apresenta uma série de particularidades. Ainda são discutidas as principais estratégias de controle como o manejo de fêmeas e suas crias, os procedimentos de ordenha e a utilização de vacinas.<br>The present reviews mastitis in small ruminants, focusing important aspects of etiology, epidemiology, diagnose, control, and prophylaxis. There was a special concern in review studies developed in Brazil, since mastitis results from a combination of many factors such as environmental and management conditions that concur for the action of etiological agents and for the epidemiology of this relevant disease. The prevalence mastitis in goats varies from 22 to 75%, with higher frequency of subclinical cases. In Brazil there are few studies about epidemiologic aspects of mastitis in small ruminants. In the other hand, the disease has growing in importance in meat producing small ruminants, mainly sheep. The mastitis caused by staphylococci is the most prevalent in small ruminants. The zoonotic importance of some milk pathogens such as Staphylococcus aureus emphasizes the importance of the elimination this bacteria by carriers between goat and sheep milk farms. Some diagnostic techniques need more standardization, especially those used in goats that demonstrated some peculiarities. Mastitis control strategies will be discussed include the management of the females and their offspring, milking procedures and vaccination protocols

Atividade antimicrobiana in vitro do extrato etanólico bruto da folha da Hymenaea martiana Hayne frente às Staphylococcus spp. e avaliação de seu potencial como desinfetante em cabras

RESUMO: Este estudo objetivou avaliar a ação antimicrobiana e antisséptica do extrato etanólico bruto da folha da Hymenaea martiana (Jatobá). O estudo foi realizado no Laboratório de Microbiologia e Imunologia da UNIVASF, na cidade de Petrolina-PE. Os extratos foram preparados utilizando diferentes diluentes, sendo estes: álcool etílico absoluto e a água destilada. Em seguida, foi empregada a técnica da Concentração Inibitória Mínima (MIC) e da Concentração Bactericida Mínima (CBM). Todos os ensaios foram realizados em triplicata. A CBM média do extrato diluído em etanol foi de 358μg/μL e do extrato diluído em água destilada foi igual a 520,82μg/mL. Não houve diferença (P<0,05) quanto à inibição bacteriana para o extrato diluído em álcool etílico absoluto ou água destilada autoclavada. Ao comparar a atividade do extrato diluído em álcool etílico absoluto e a relação com a presença do gene blaZ, observou-se que os isolados negativos para o gene pesquisado apresentaram uma CBM igual a 412,3μg/mL, e, quando comparadas aos que foram positivos para o gene blaZ, que foi de 308,80μg/mL, contudo sem diferença estatística. Quanto à inibição das bactérias utilizando extrato aquoso, a atividade foi igual para as bactérias com ou sem o gene (520,82μg/mL). Desse modo, tanto o extrato diluído em álcool etílico absoluto quanto em agua destilada autoclavada demonstrou atividade antimicrobiana, sugerindo que ocorreu extração de substâncias bioativas. Em relação ao potencial antisséptico, H. martiana teve ação pareada com o cloro, contudo aquele agiu mais rapidamente, enquanto o cloro agiu de modo ideal uma hora após a aplicação; ambos os resultados destacam que o extrato etanólico bruto das folhas de H. martiana possui potencial de combate à proliferação de bactérias ambientais e infecciosas, surgindo como uma forma de prevenir a mastite