Avaliação laboratorial do tipo e teor de ligante e da granulometria na deformação permanente de misturas asfálticas

Este trabalho avaliou a influência na deformação permanente do tipo e teor de ligante asfáltico e da granulometria quanto ao método Bailey, Faixa de Agregado Dominante (FAD) e faixas granulométricas B e C por meio do ensaio uniaxial de carga repetida. Para isso utilizaram-se três ligantes asfálticos, 50/70, AMP 60/85 e o Highly Modified Asphalt (HiMA), quatro granulometrias, sendo duas Faixa B e duas C, e dois métodos de dosagem, Superpave e Marshall, totalizando 24 misturas asfálticas. Os resultados indicaram que as modificações no tipo e no teor dos ligantes asfálticos foram mais influentes na deformação permanente do que a granulometria das misturas, inclusive encontrou-se boa correlação entre a reologia dos ligantes e os Flow Numbers (FNs) obtidos. O método Bailey apresentou-se mais efetivo em conferir ganho de resistência comparado ao método FAD e a utilização da granulometria faixa B não resultou em um melhor comportamento comparado a uma granulometria faixa C

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

Acute cerebellar ataxia: differential diagnosis and clinical approach

ABSTRACT Cerebellar ataxia is a common finding in neurological practice and has a wide variety of causes, ranging from the chronic and slowly-progressive cerebellar degenerations to the acute cerebellar lesions due to infarction, edema and hemorrhage, configuring a true neurological emergency. Acute cerebellar ataxia is a syndrome that occurs in less than 72 hours, in previously healthy subjects. Acute ataxia usually results in hospitalization and extensive laboratory investigation. Clinicians are often faced with decisions on the extent and timing of the initial screening tests, particularly to detect treatable causes. The main group of diseases that may cause acute ataxias discussed in this article are: stroke, infectious, toxic, immune-mediated, paraneoplastic, vitamin deficiency, structural lesions and metabolic diseases. This review focuses on the etiologic and diagnostic considerations for acute ataxia

Cognitive and psychiatric evaluation in SYNE1 ataxia

SYNE1 gene mutations were identified as a cause of late-onset pure cerebellar syndrome. Non-cerebellar symptoms, including cognitive impairment, were already described in this condition. The aim of this study was to perform a detailed cognitive and psychiatric description of patients with SYNE1 gene mutations. We performed neuropsychological and psychiatric evaluations of six patients with SYNE1 ataxia and compared their performance with 18 normal controls paired for age and education level. SYNE1 ataxia patients present cognitive dysfunction, characterized by impairment in attention and processing speed domains. Otherwise, the psychiatric assessment reported low levels of overall behavioral symptoms with only some minor anxiety-related complaints. Although this is a small sample of patients, these results suggest that SYNE1 ataxia patients may represent a model to investigate effects of cerebellar degeneration in higher hierarchical cognitive functions. For further studies, abstract thinking impairment in schizophrenia may be related to dysfunction in cerebellum pathways.18473173

Demographic characteristics.

<p>Demographic characteristics.</p

Spline model predictiveness curve for P-wave duration and the risk prediction for all-cause death.

<p>The analysis was adjusted for age, sex, diabetes, chronic obstructive pulmonary disease, stroke, two or more previous CABG, creatinine, previous acute coronary syndrome, ejection fraction, pulmonary artery systolic pressure.</p

Independent predictors of death by univariate Cox regression analysis ¹.

<p>Independent predictors of death by univariate Cox regression analysis <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199718#t003fn001" target="_blank">¹</a>.</p

Retained variables in Cox proportional hazards regression multivariable analyses¹.

<p>Retained variables in Cox proportional hazards regression multivariable analyses<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199718#t004fn001" target="_blank">¹</a>.</p