Abstract: This text proposes a reflective study about the current table of concepts and regulations related to food insecurity in Brazil, as well as the relevance of support in public policies adopted by the country in the fight against hunger. The food insecurity phenomenon analyzed in this article aiming to understand its evident occurrence nowadays especially in the ongoing pandemic scenario. By using the qualitative dialectical method, the right to food is presented in Brazilian legislation, public policies, challenges, perspectives, and the strategic axiological support configured by the Ubuntu perspective in the construction of a new comprehension of protection for individuals affected by familiar insecurity.

Resumo: Propõe-se um estudo reflexivo acerca do atual panorama referente aos conceitos e normativas ligadas à insegurança alimentar no Brasil, bem como à relevância do amparo em políticas públicas adotadas pelo país no combate à fome. Analisa-se o fenômeno da insegurança alimentar, pretendendo, sobretudo, compreender a evidente ocorrência na atualidade, mormente, no cenário pandêmico ainda em curso. Pela utilização do método dialético qualitativo, apresenta-se o direito à alimentação à luz da legislação brasileira, as políticas públicas, os desafios, perspectivas e o estratégico apoio axiológico configurado pela perspectiva Ubuntu na construção de um novo olhar de proteção aos indivíduos afetados pela insegurança familiar.

Resumen El bad split es un término clínico que refiere a una fractura no planificada que ocurre al momento de realizar una osteotomía sagital de rama mandibular (OSRM). Afecta aproximadamente al 2,3% de los pacientes y se han descrito factores de riesgo tales como la presencia de terceros molares mandibulares, edad avanzada al momento de la cirugía, técnica de osteotomía inadecuada, entre otros. Se recomienda efectuar manio-bras preventivas para evitar la aparición de patrones de fractura no deseados al realizar la OSRM. Sin embargo, al momento de pesquisar un bad split, éste debe ser tratado por un equipo capacitado y de manera oportuna para evitar retardo en la consolidación, infecciones y secuestros óseos que puedan comprometer los resultados de la cirugía. En este artículo se presenta el manejo de un caso clínico de bad split bilateral intraoperatorio por el Servicio de Cirugía Maxilofacial del Hospital San José, enfatizando su tratamiento quirúrgico.

Abstract Bad Split is a clinical term referring to an unplanned fracture that occurs during the bilateral sagittal split osteotomy (BSSO). It affects approximately 2,3% of the patients undergoing orthognathic surgery and several risk factors have been described such as the presence of mandibular third molars, advanced age at the moment of orthognathic surgery, inadequate osteotomy technique, etc. Preventive maneuvers are recommended in order to avoid the appearance of undesired fracture patterns during BSSO. However, if a bad split is detected it must be managed and treated by a qualified team to avoid further complications such as delayed bone consolidation, bone infection and necrosis. In this article we present the management of a case of bilateral bad split by the Maxillofacial Surgery Service of Hospital San José, emphasizing on its surgical treatment.

ABSTRACT A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the coefficient of variation (CVe) produces information for researchers and breeders on the experimental quality of trials. This analysis can also be applied in the decision-making process of the experimental plan regarding the experimental design, the number of repetitions, and the treatments and plants/progenies to be measured. In this study, we evaluated the dataset distribution and the descriptive statistics of CVe through the Frequentist and Bayesian approaches, aiming to establish the credibility and confidence intervals. We submitted CVe data of ten wheat (Triticum aestivum L.) traits reported in 1,068 articles published to the Bayesian and Frequentist analyses. Sample data were analyzed via Gamma and normal models. We selected the model with the lowest Akaike Information Criterion (AIC) value, and then we tested three link functions. In the Bayesian analysis, uniform distributions were used as non-informative priors for the Gamma distribution parameters with three ranges of q~U (a,b,). Thus, the prior probability density function was given by: p θ = 1 β - α , θ ∈ α , β . The Bayesian and Frequentist approaches with the Gamma model presented similar results for CVe; however, the range Bayesian credible intervals was narrower than the Frequentist confidence intervals. Gamma distribution fitted the CVe data better than the normal distribution. The credible and confidence intervals of CVe were successfully applied to wheat traits and could be used as experimental accuracy measurements in other experiments.

Abstract This study was conducted to test the significance of adding row and column factors in the frequentist and Bayesian models used in the evaluation of a population of Passiflora edulis, as well as selecting promising genotypes to form the next generation. The following parameters were evaluated: number of fruits, yield, fruit weight, transverse fruit diameter, longitudinal fruit diameter, pulp percentage, skin thickness and total soluble solids. For the Bayesian model, two priors were considered, namely, inverse gamma and a priori distribution with extended parameters. The model with a priori distribution with extended parameters showed lower root mean square error and higher correlation coefficient between observed and predicted values than the inverse gamma model. Furthermore, for a selection intensity of 37%, the mixed and Bayesian models selected practically the same progenies in both experiments. The use of the 5-fold cross-validation technique indicated that both tested models were efficient.

RESUMO O envelhecimento está associado a patologias crónicas, que podem ser prevenidas ou retardadas através do envolvimento em comportamentos saudáveis, como a prática regular de Exercício Físico (EF). O objetivo deste trabalho foi caracterizar a qualidade de vida, vitalidade e força de preensão manual de idosos participantes em programas comunitários de EF, bem como analisar a relação da prática de EF com estas variáveis. Recorreu-se a uma amostra composta por 81 indivíduos, 49 do sexo feminino e 32 do sexo masculino, com idades compreendidas entre os 65 e os 85 anos (72.33±5.02). Os resultados indicam-nos que os elementos do género masculino apresentavam valores superiores nas variáveis força de preensão manual (p<0.001; η2=0.510), vitalidade subjetiva (p=0.05; η2=0.005) e no domínio “intimidade” da qualidade de vida (p=0.01; η2=0.005). Relativamente à análise das relações entre as variáveis, no género feminino a força de preensão manual está relacionada com a frequência semanal (r=0.42; p=0.003), com o número de horas de prática (r=0.49; p<0.001), e com a qualidade de vida geral (r=0.35; p=0.015). Ainda no género feminino, verificamos a existência de uma regressão linear significativa da frequência de prática semanal (R2 ajustado=0.23; p<0.001) e do número de horas semanal (R2 ajustado=0.30; p<0.001), com a força de preensão manual. Já no género masculino, a força de preensão manual correlaciona-se com o número de horas de prática semanal (r=0.38; p=0.033). Já a vitalidade está relacionada com a força de preensão manual (r=0.49; p=0.004) e com a qualidade de vida geral (r=0.61; p<0.001). Parece assim evidente o papel do EF por parte desta população, bem como a inclusão do treino de força uma vez que esta variável parece estar associada a uma melhor perceção de qualidade de vida e de vitalidade pelo idoso.

RESUMEN El envejecimiento se asocia con patologías crónicas, que pueden prevenirse o retrasarse al participar en comportamientos saludables, como el ejercicio físico regular (EF). Así, el objetivo de este estudio fue caracterizar la calidad de vida, vitalidad y fuerza de la empuñadura de los participantes de edad avanzada en programas comunitarios de EF, así como analizar la relación de la práctica con estas variables. Se utilizó una muestra de 81 individuos, 49 mujeres y 32 hombres, de entre 65 y 85 años (72.33±5.02). Los resultados indican que los elementos masculinos presentaron valores más altos en las variables fuerza de prensión manual (p<0.001; η2 =0.510), vitalidad subjetiva (p=0.05; η2=0.005) y en el dominio "η2=0.005). En cuanto al análisis de las relaciones, en las mujeres la fuerza de prensión manual está asociada con la frecuencia semanal (r=0.42; p=0.003), con el número de horas de práctica por semana (r=0.49; p<0.001), y con la calidad de vida general (r=0.35; p=0.015). También en las mujeres, verificamos una regresión lineal significativa de la frecuencia semanal (R2 ajustado =0.23; p<0.001) y el número de horas de práctica por semana (R2 ajustado= 0.30; p <0.001), con fuerza de prensión manual. En los hombres, verificamos que la fuerza de presión manual está relacionada con el número de horas de práctica semanal (r=0.38; p=0.033). La vitalidad está relacionada con la fuerza de prensión manual (r=0.49; p=0.004), y la calidad de vida general (r=0.61; p<0.001). Así, parece evidente el papel del EF por parte de esta población, así como la inclusión del entrenamiento de fuerza, ya que esta variable parece estar asociada a una mejor percepción de la calidad de vida y vitalidad por parte de los ancianos.

ABSTRACT Ageing is associated with chronic pathologies, which can be prevented or delayed through the involvement in healthy behaviours, such as regular physical exercise (PE). The aims of this study were to characterize the quality of life, vitality and handgrip strength of elderly people, participants in PE community programs, as well as to analyze the relationship of PE practice with these variables. A sample of 81 individuals, 49 females and 32 males, aged between 65 and 85 years (72.33 ± 5.02) were recruited. The results showed that men had higher values in the variables handgrip strength (p<0.001; 2 =0.510), subjective vitality (p=0.05; 2=0.005) and in the “intimacy” domain of quality of life (p=0.01; 2 =0.005). Regarding the analysis of the relationships, in females, handgrip strength is related with the weekly frequency (r=0.42; p=0.003), with the number of practice hours per week (r=0.49; p<0.001), and with general quality of life (r=0.35; p=0.015). Still in females, we verified the existence of a significant linear regression of the weekly frequency of practice (adjusted R2=0.23; p<0.001) and the number of weekly hours (adjusted R2=0.30; p<0.001), with handgrip strength. In males, we verified that handgrip strength is related with the number of hours of weekly practice (r=0.38; p=0.033). Finally, vitality is related with handgrip strength (r=0.49; p=0.004), and general quality of life (r=0.61; p<0.001). Thus, the role of PE practice in this population seems evident, not only for the associated physical, mental, and social benefits but also for the role it appears to play in the perception of quality of life and subjective vitality. Moreover, it still seems essential to include strength training, which appears to be associated with a better perception of quality of life and vitality by the elderly.

ABSTRACT: The Fisher’s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation.

ABSTRACT: The principal component regression (PCR) and the independent component regression (ICR) are dimensionality reduction methods and extremely important in genomic prediction. These methods require the choice of the number of components to be inserted into the model. For PCR, there are formal criteria; however, for ICR, the adopted criterion chooses the number of independent components (ICs) associated to greater accuracy and requires high computational time. In this study, seven criteria based on the number of principal components (PCs) and methods of variable selection to guide this choice in ICR are proposed and evaluated in simulated and real data. For both datasets, the most efficient criterion and that drastically reduced computational time determined that the number of ICs should be equal to the number of PCs to reach a higher accuracy value. In addition, the criteria did not recover the simulated heritability and generated biased genomic values.

RESUMO: A fasciolose é uma zoonose de distribuição global causada pelo parasita Fasciola spp. Infecções em humanos podem ocorrer em áreas endêmicas para fasciolose animal, sugerindo a necessidade de estudos sobre essa parasitose e seus determinantes. O presente estudo exploratório teve como objetivo analisar a distribuição espacial da fasciolose bovina, no estado de Santa Catarina, Brasil, a partir de casos notificados entre 2015 e 2017 no abatedouro frigorífico estadual, localizado em Orleans, SC, e associar a ocorrência da doença a altitude, temperatura e precipitação. A pesquisa foi conduzida na Universidade Barriga Verde em Orleans, SC e na Fundação Oswaldo Cruz no Rio de Janeiro, RJ. No período de análise o matadouro recebeu animais de 58 municípios do estado de Santa Catarina. Dos animais abatidos nesse período, 10,81% estavam infectados por Fasciola hepatica. A presença da infecção por fasciolose foi encontrada no Sul no território estudado, com maiores prevalências no Sudeste do estado. Houve uma associação entre baixas altitudes e maior ocorrência de fasciolose nos municípios. A prevalência de fasciolose bovina foi também maior em municípios com altas temperaturas e com baixa pluviosidade. Sendo assim, esses resultados devem ser levados em consideração para o planejamento de medidas de controle da doença no Sul de Santa Catarina.

ABSTRACT: Fascioliasis is a zoonosis of global distribution caused by the parasitic trematode Fasciola spp. Infection in humans can occur in areas endemic for animal fascioliasis, suggesting the need for studies on this parasitosis and its determinants. This exploratory study aimed to analyze the spatial distribution of bovine fascioliasis in the state of Santa Catarina, Brazil, based on cases notified between 2015 and 2017 in a state abattoir, located in the municipality of Orleans, and to associate disease occurrence with altitude, temperature, and rainfall. The research was conducted at Centro Universitário Barriga Verde (UNIBAVE)/Orleans, SC and Fundação Oswaldo Cruz/Rio de Janeiro, RJ. During the study period, the abattoir received animals from 58 municipalities in that state. Of the animals slaughtered in that period, 10,81% were infected with Fasciola hepatica. Presence of bovine fascioliasis infection was identified in the South and Southeast regions of the state, with higher prevalence rates in the latter. There was an association between low altitudes and higher occurrence of cases in the municipalities assessed. In addition, prevalence of bovine fascioliasis was higher in municipalities with high temperatures and low rainfall. Therefore, these results should be considered for planning disease control measures in the South and Southeast regions of the state of Santa Catarina.

Resumo: Neste artigo, apresento discussões teóricas sobre o ensino de história realizado por e sobre mulheres negras para as quais o conceito de colonialidade de gênero, elaborado por María Lugones, é imprescindível. E em seguida, analiso algumas atividades do ensino de história numa perspectiva decolonial, com o uso de audiovisuais protagonizados por mulheres negras, aplicadas na Escola Dom Mota, na Cidade de Nazaré da Mata, em Pernambuco.

Abstract: In this article I present theoretical discussions about history teaching performed by and about black women, for which the concept of gender coloniality, elaborated by María Lugones is essential. And then I analyze some activities of history teaching in a decolonial perspective, with the use of audiovisuals protagonized by black women, applied in the Dom Mota School, in the city of Nazaré da Mata, Pernambuco.

Resumen: En este artículo, presento las discusiones teóricas sobre la enseñanza de la historia realizada por y sobre las mujeres negras, para las cuales el concepto de colonialidad de género elaborado por María Lugones, es esencial. Luego, analizo algunas actividades de enseñanza de la historia en una perspectiva decolonial, con el uso de audiovisuales interpretados por mujeres negras, aplicados en la Escuela Dom Mota, en la ciudad de Nazaré da Mata, Pernambuco.

ABSTRACT An accurate and efficient statistical method for genetic evaluation is a key requirement for progress in any breeding program. Thus, the present study aimed to evaluate the performance of Frequentist and Bayesian inferences for repeated measures analysis in Jatropha curcas breeding. To this end, 730 individuals from 73 half-sib families were evaluated for grain yield trait, over six crop years. Frequentist and Bayesian analyses were made considering repeatability models with different residual variance structures. Variance components were estimated through restricted maximum likelihood (REML) and Markov Chain Monte Carlo (MCMC). Genetic values were predicted through best linear unbiased prediction (BLUP) and estimated through MCMC. Variance components and genetic and non-genetic parameters estimated by the Frequentist inference presented values similar to those estimated by the Bayesian inference. The selective accuracy presented high magnitude (0.84) by the Frequentist and Bayesian inferences, indicating high reliability. Confidence and highest posterior density (HPD) intervals were similar for the genetic parameters, however the HPD intervals range was slightly short. This study highlighted the importance of testing the residual variance structure and pointed out that the Frequentist and Bayesian inferences presented similar results when using non-informative prior. Then, both inferences can be efficiently applied in Jatropha curcas breeding.

ABSTRACT We aimed to reduce the dimensionality of quantitative traits in pigs applying factor analysis. Quantitative variables were collected, and the factor analysis extracted five factors with biological meaning related to performance, carcass quality, carcass yield, meat quality, and initial pH. These factors were posteriorly used as dependent variable to evaluate the effects of genetic groups (Piau, Duroc, and Pietrain crossbreds), nutritional plans (low, medium and high lysine levels) and sex. An interaction effect between genetic group and sex was observed in performance, in which Duroc crossbred showed the greatest scores. The Pietrain genetic group showed greater values of carcass quality compared with Duroc and Piau, while Piau crossbred pigs had greater values for meat quality compared with Pietrain and Duroc. A greater carcass yield was observed in Pietrain crossbred compared with Duroc pigs. Pigs fed under low lysine level had the lowest performance values. Carcass yield was affected by nutritional plans, in which the medium lysine level showed the greatest values. Meat quality was improved by the nutritional plan with high lysine level compared with the low lysine level. Initial pH showed increased means when using nutritional plans with low and medium lysine levels in diet composition. With regard to sex effects, a greater carcass quality was found for gilts compared with barrows. The reduction of the data dimensionality allowed the joint evaluation of genetic group, nutritional plan, and sex based on new latent variables that represented the original dataset under easier framework based on factors’ biological interpretation.

ABSTRACT: The development of efficient methods for genome–wide association studies (GWAS) between quantitative trait loci (QTL) and genetic values is extremely important to animal and plant breeding programs. Bayesian approaches that aim to select regions of single nucleotide polymorphisms (SNPs) proved to be efficient, indicating genes with important effects. Among the selection criteria for SNPs or regions, selection criterion by percentage of variance can be explained by genomic regions (%var), selection of tag SNPs, and selection based on the window posterior probability of association (WPPA). To also detect potentially associated regions, we proposed measuring posterior probability of the interval PPint), which aims to select regions based on the markers of greatest effects. Therefore, the objective of this work was to evaluate these approaches, in terms of efficiency in selecting and identifying markers or regions located within or close to genes associated with traits. This study also aimed to compare these methodologies with single–marker analyses. To accomplish this, simulated data were used in six scenarios, with SNPs allocated in non–overlapping genomic regions. Considering traits with oligogenic inheritance, WPPA criterion followed by %var and PPint criteria were shown to be superior, presenting higher values of detection power, capturing higher percentages of genetic variance and larger areas. For traits with polygenic inheritance, PPint and WPPA criteria were considered superior. Single–marker analyses identified SNPs associated only in oligogenic inheritance scenarios and was lower than the other criteria.

ABSTRACT Methods for genetic improvement of semi–perennial species, such as passion fruit, often involve large areas, unbalanced data, and lack of observations. Some strategies can be applied to solve these problems. In this work, different models and approaches were tested to improve the precision of estimates of genetic evaluation models for several characteristics of the passion fruit. A randomized block design (RBD) model was compared to a posteriori correction, adding two factors to the model (post–hoc blocking Row–Col). These models were also combined with the frequentist and Bayesian approaches to identify which combination yields the most accurate results. These approaches are part of a strategic plan in a perennial plant breeding program to select promising genitors of passion to compose the next selection cycle. For Bayesian, we tested two priors, defining different values for the distribution parameters of effect variances of the model. We also performed a cross–validation test to choose a priori values and compare the frequentist and Bayesian approaches using the root mean square error (RMSE) and the correlation between the predicted and observed values, called Predictive capacity of the model (PC). The model with the post–hoc blocking Row–Col design captured the spatial variability for productivity and number of fruits, directly affecting the experimental precision. Both approaches applied to the models showed a similar performance, with predictive capacity and selective efficiency leading to the selection of the same individuals.

ABSTRACT We aimed to estimate genetic parameters for growth, reproductive, and carcass traits in Tabapuã cattle. Phenotypic data were collected between 1990 and 2019 in 1,218 farms, and the pedigree file had 340,868 animals. The traits evaluated were body weight at 120 (W120), 210 (W210), 365 (W365), and 550 (W550) days of age; age at first calving (AFC), scrotal circumference at 365 days of age (SC365), ribeye area (REA), backfat thickness (BF), and rump fat thickness (RF). The (co)variance components were estimated using the restricted maximum likelihood method, considering single and two-traits animal models. For all traits, the models considered fixed, direct additive genetic, and residual random effects. In addition, for W120 and W210, the maternal additive genetic and maternal permanent environmental effects were also included. Heritabilities for W120, W210, W365, W550, SC365, REA, BF, and RF were of moderate magnitude (0.15, 0.16, 0.23, 0.19, 0.22, 0.36, 0.31, and 0.27, respectively). Low heritability was observed for AFC (0.07). The genetic correlations between growth traits were higher than 0.90, while AFC and SC365 presented negative moderate correlation (−0.66). The REA showed low genetic correlations with BF (0.07) and RF (0.07), whereas BF and RF were highly correlated (0.77). Considering the heritability estimates, selection for AFC would result in limited genetic gain, while for the other traits, it would be satisfactory. Based on the high genetic correlations between growth traits, selection of Tabapuã animals can be performed at younger ages. Additionally, animals can be indirectly selected for AFC through SC365, and only one fat thickness trait may be used in the selection process considering the high genetic correlation and similar heritability values for BF and RF.

Resumo Objetivos: treinar um classificador do tipo Random Forest (RF) para estimar o risco de óbito em idosos (com mais de 60 anos) diagnosticados com COVID-19 em Pernambuco. Uma “feature” deste classificador, chamada feature_importance, foi usada para identificar os atributos (principais fatores de risco) relacionados com o desfecho final (cura ou óbito) através do ganho de informação. Métodos: dados dos casos confirmados de COVID-19foram obtidos entre os dias 13 de fevereiro e 19 de junho de 2020, em Pernambuco, Brasil. O algoritmo K-fold Cross Validation, com K=10, foi usado para avaliar tanto o desempenho do RF quanto a importância das características clínicas. Resultados: o algoritmo RF classificou corretamente 78,33% dos idosos, com AUC de 0,839. A idade avançada é o fator que representa maior risco de evolução para óbito. Além disso, a principal comorbidade e sintoma também identificados, foram, respectivamente, doença cardiovascular e saturação de oxigênio ≤95%. Conclusão: este trabalho se dedicou à aplicação do classificador RF para previsão de óbito e identificou as principais características clínicas relacionadas com este desfecho em idosos com COVID-19 no estado de Pernambuco.

Abstract Objectives: train a Random Forest (RF) classifier to estimate death risk in elderly people (over 60 years old) diagnosed with COVID-19 in Pernambuco. A "feature" of this classifier, called feature importance, was used to identify the attributes (main risk factors) related to the outcome (cure or death) through gaining information. Methods: data from confirmed cases of COVID-19 was obtained between February 13 and June 19, 2020, in Pernambuco, Brazil. The K-fold Cross Validation algorithm (K=10) assessed RF performance and the importance of clinical features. Results: the RF algorithm correctly classified 78.33% of the elderly people, with AUC of 0.839. Advanced age was the factor representing the highest risk of death. The main comorbidity and symptom were cardiovascular disease and oxygen saturation ≤ 95%, respectively. Conclusion: this study applied the RF classifier to predict risk of death and identified the main clinical features related to this outcome in elderly people with COVID-19 in the state of Pernambuco.