Multi-Science Journal

Between the real and the imagined, Brazilian history and literature in high school

2024-04-11T11:02:52-03:00

The present work proposes to deepen a discussion about shared teaching between the disciplines of History and Literature, which proposes to discuss the theme “Military Dictatorship” based on the text Sombra de Reis Barbudos by José J. Veiga. It is believed that the chosen text can assist in the understanding of the historical period within the scope of the dialogue that explores the overlap between the “fictional” text and the historicized facts that address the dictatorship in Brazil, especially the repression and the years of lead. The bet is that the teachers of the mentioned disciplines can activate the literary text as a tool articulated with the studies of History, demonstrating that both sciences can speak about a reality from different languages. This work is an invitation to the challenge of bringing closer the disciplines of the humanities in order to establish variations on the same theme.

In vitro antischistosomal activity of 2-aroyl-benzofuran derivatives against Schistosoma mansoni

2025-01-29T10:46:30-03:00

Five 2-aroylbenzofurans were synthesized by condensation between α-bromoacetone and an ortho-hydroxybenzaldehyde or ortho-hydroxy-acetophenone and evaluated for their in vitro antischistomal effects against adult Schistosoma mansoni worms. Below 200 µg/mL, none of the tested 2-aroylbenzofurans killed adult S. mansoni worms. On the other hand, at 200 µg/mL all the tested compounds reduced the motor activity of adult S. mansoni worms after treatment for 72 h. At 200 µg/mL, compound 1 was the only one to decrease the motor activity of 67% of the worms after incubation for 24 h. The methyl group at C6 and the nature of the substituent at ring A play important roles in the efficacy of 2-aroylbenzofurans in reducing the worm motor activity.

Roasting optimization of peaberry coffee beans from dry cherry fruits

2025-07-01T23:25:25-03:00

The roasting process involves the conduction and convection of heat from the roaster to the coffee beans, resulting in changes in the physical characteristics of the beans and in the sensory profile of the beverage. This study aimed to evaluate the conduction of the process by contrasting the changes in physical characteristics with the optimization of sensory parameters. The temperature profiles shown by the beans illustrate the appropriate conduction of the process under study. According to the different curves, differences in moisture, mass loss, bulk density and swelling were observed. The optimal condition for conducting the process, with achieved greater sensory merits, was the more severe roasting condition indicated by the high temperature.

Evaluation of empirical type I error rates of F and normality tests under different variance and mean conditions in multi-treatment CRDs

2024-12-14T14:20:25-03:00

Hypothesis tests, such as normality tests, are extensively employed in Agricultural Sciences to evaluate the normality assumption of the F test in the Analysis of Variance (ANOVA) when large sample sizes are unavailable. Nonetheless, researchers conducting these tests are exposed to the risk of committing type I or type II errors, with probabilities that are influenced by different experimental conditions. This study assesses the empirical type I error rate of hypothesis tests by considering the equality (inequality) of treatment means, the homogeneity (heterogeneity) of variances, and different numbers of repetitions per treatment. Applying Completely Randomized Designs (CRD), sub-scenarios were simulated for each experimental scenario, with 10,000 iterations performed for each sub-scenario. Response variable values and experimental residuals were generated and subjected to appropriate tests. The results demonstrate that when the assumption of homogeneity of variances is violated, both the F and normality tests (excluding the Kolmogorov-Smirnov test) exhibit higher empirical type I error rates. Additionally, for normality tests, these error rates increase with the number of repetitions. Conversely, without such violations, the error rates remain stable and closely approximate the theoretical significance level for all analyzed hypothesis tests.