Publications by authors named "R S Arruda"

Influenza A and B viruses represent significant global health threats, contributing substantially to morbidity and mortality rates. However, a comprehensive understanding of the molecular epidemiology of these viruses in Brazil, a continental-size country and a crucial hub for the entry, circulation, and dissemination of influenza viruses within South America, still needs to be improved. This study addresses this gap by consolidating data and samples across all Brazilian macroregions, as part of the Center for Viral Surveillance and Serological Assessment project, together with an extensive number of other Brazilian sequences provided by a public database during the epidemic seasons spanning 2021-23.

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Cardiovascular diseases (CVD) are a leading cause of mortality and morbidity worldwide. Rapid diagnostic tools are crucial for timely intervention, especially in high-risk groups such as truck drivers. In Brazil, the Mission® test uniquely offers test strips for simultaneous measurement of total cholesterol (TC), high-density lipoprotein (HDL), triglycerides (TG), and low-density lipoprotein (LDL).

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Heat stress is caused by exposure of animals to high temperatures and humidity, outside their thermal comfort zone. This can have negative outcomes, including adversely affecting general well-being and reducing productive and reproductive performance. In males, heat stress can disrupt testicular thermoregulation, with deleterious effects on spermatogenesis and consequently, decreases in sperm quality and fertility potential.

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Cyanobacterial harmful algal blooms can pose risks to ecosystems and human health worldwide due to their capacity to produce natural toxins. The potential dangers associated with numerous metabolites produced by cyanobacteria remain unknown. Only select classes of cyanopeptides have been extensively studied with the aim of yielding substantial evidence regarding their toxicity, resulting in their inclusion in risk management and water quality regulations.

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Article Synopsis
  • The study aimed to estimate growth curves and genetic parameters for Nellore cattle in the Pantanal region of Brazil using random regression methodology on a large dataset of calf weights.
  • The research considered various fixed effects, including sex, year of birth, and environmental factors, and showed that calves from the dry season had higher average weights compared to those from other seasons.
  • Results revealed high direct heritability estimates for growth traits (0.35 to 0.75) and low maternal heritability estimates (0.03 to 0.08), suggesting that the random regression approach can help improve selective breeding strategies for future generations.
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