Caracterização da dispersão de sementes e polinização de espécies arbóreas promissoras para o manejo florestal no estado do Pará.

Visando ampliar o conhecimento sobre tipos de dispersão de sementes e sistemas de polinização de 18 espécies arbóreas promissoras para o manejo florestal no estado do Pará, no período de setembro/2012 a março/2013, foi realizado um levantamento de dados publicados na literatura especializada, por meio de busca ativa em base de dados indexadas e no acervo do Herbário IAN. Foram encontradas informações de 18 espécies quanto à dispersão de sementes sendo que destas, apenas sete espécies contem dados sobre o tipo de polinização. A principal síndrome de dispersão das sementes foi a do tipo zoocoria. Quanto às síndromes de polinização, verificou-se que há poucos registros, mas dentre as espécies selecionadas a polinização do tipo melitofilia foi a que mais se destacou. Observou-se que há uma grande lacuna de informações sobre a biologia reprodutiva, indicando a importância de mais estudos sobre esse tema

“Bone-shot fracture” – An unusual iliac wing fracture caused by a projectile of autologous bone fragment. A case report

Case: A young adult male sustained a high-energy crash suffering multiple injuries including a comminuted right femoral shaft fracture and an ipsilateral iliac wing fracture. The iliac fracture was caused by a femoral fragment which was projected and pierced the iliac wing. The patient underwent surgery with retrieval of the femoral fragment and fixation of the iliac and femoral fractures. The lesions healed uneventfully. Conclusion: This is the first reported case of an iliac fracture caused by a projectile of autologous bone. High-energy trauma may present unusual or never seen injury patterns to the trauma surgeon

Diagnóstico da pecuária leiteira no assentamento Fazenda Nova da Lagoa Grande em Dourados, MS.

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MCHO – A new indicator for insulation conditions in transmission lines

AbstractConventionally monitoring operating conditions of a power transmission line is accomplished by periodic inspections along this line. This monitoring allows corrective maintenance by finding faults during the inspection. But in more efficient maintenance, predictive techniques that are characterized by real-time monitoring should be employed. Such predictive techniques allow for verifying the working status of the line by using normal working models to detect faults and fault models for diagnosis. This paper presents a study that used a mathematical model appropriate for application to predictive maintenance of transmission line segments at low cost, without the need for sensors distributed along the line, and presenting a new indicator of transmission line operation conditions. By tracking the leakage current of transmission lines, this model allows for estimating the current line insulation status. Once the current line insulation status is known, it is possible to compare it against other future status and verify the progress of the insulation conditions of that line. The model uses a new indicator, called MCHO, which can detect and diagnose both normal and abnormal operating conditions of a power transmission line. This new indicator is the capacitance of the harmonic frequencies of the transmission line leakage current. The model was validated through measurements obtained on a stretch of transmission line

The Impact of Obstructive Sleep Apnea on Metabolic and Inflammatory Markers in Consecutive Patients with Metabolic Syndrome

Background: Obstructive Sleep Apnea (OSA) is tightly linked to some components of Metabolic Syndrome (MetS). However, most of the evidence evaluated individual components of the MetS or patients with a diagnosis of OSA that were referred for sleep studies due to sleep complaints. Therefore, it is not clear whether OSA exacerbates the metabolic abnormalities in a representative sample of patients with MetS. Methodology/Principal Findings: We studied 152 consecutive patients (age 48 +/- 9 years, body mass index 32.3 +/- 3.4 Kg/m(2)) newly diagnosed with MetS (Adult Treatment Panel III). All participants underwent standard polysomnography irrespective of sleep complaints, and laboratory measurements (glucose, lipid profile, uric acid and C-reactive protein). The prevalence of OSA (apnea-hypopnea index >= 15 events per hour of sleep) was 60.5%. Patients with OSA exhibited significantly higher levels of blood pressure, glucose, triglycerides, cholesterol, LDL, cholesterol/HDL ratio, triglycerides/HDL ratio, uric acid and C-reactive protein than patients without OSA. OSA was independently associated with 2 MetS criteria: triglycerides: OR: 3.26 (1.47-7.21) and glucose: OR: 2.31 (1.12-4.80). OSA was also independently associated with increased cholesterol/HDL ratio: OR: 2.38 (1.08-5.24), uric acid: OR: 4.19 (1.70-10.35) and C-reactive protein: OR: 6.10 (2.64-14.11). Indices of sleep apnea severity, apnea-hypopnea index and minimum oxygen saturation, were independently associated with increased levels of triglycerides, glucose as well as cholesterol/HDL ratio, uric acid and C-reactive protein. Excessive daytime sleepiness had no effect on the metabolic and inflammatory parameters. Conclusions/Significance: Unrecognized OSA is common in consecutive patients with MetS. OSA may contribute to metabolic dysregulation and systemic inflammation in patients with MetS, regardless of symptoms of daytime sleepiness.Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)[200032/2009-7]Fundacao Zerbini, BrazilNational Sleep Foundation/American Lung Association Pickwick[SF-78568 N]National Institutes of Health (NIH)[HL07534]National Institutes of Health (NIH)[R01 HL80105]National Institutes of Health (NIH)[5P50HL084945]American Heart Association[0765293U](BSF) United States Israel Binational Science Foundation[2005265

O Impacto da Pandemia COVID-19 na Prestação de Cuidados de Saúde em Sinistralidade Laboral

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