Diagnóstico da comercialização de produtos da medicina popular em feiras livres do semiárido do Rio Grande do Norte: avaliações socioeconômicas e sanitárias, com proposta de legislação específica

Historically, man has empirically acquired knowledge about the therapeutic applications of extracted elements of the natural environment in which belonged. Such knowledge over time culminated in the formation of traditional health systems. Among its features, the use of bioactive plant species - medicinal plants - stands out for its efficiency and high popular acceptance. Despite its importance for public health, the population still has in the open-air fairs the main source for the acquisition of the species used. In these spaces, the trade generally occurs informally, under unfavorable conditions to the quality of the products and to the financial sustainability of the business. In this context, this study aimed to characterize the socioeconomic, cultural and sanitary aspects related to the trade of medicinal plants in municipalities of a semiarid region of Rio Grande do Norte, and additionally, proposing a specific legislation to the activity. Socioeconomic data were collected through on-site interviews, guided by structured form. The observations about the hygienic and sanitary adequacy of physical facilities and practices employed at the point of sale /environment were conducted and recorded with the use of assessment tool developed for use in open markets. The adequacy of medicinal plants to consumption was determined by microbiological analysis. The activity was carried out by individuals who are aged between 21 and 81 years of age, low educational level and low-income, predominantly males. The data showed a tendency to extinction of the activity in all the districts studied. It was observed in all the fairs studied hygiene and sanitation inadequacies that characterized very high health risk, representing in this way, the high probability of Food Transmitted Diseases outbreaks Such conditions were reflected in the high percentage of inadequacy to the consumption of the analyzed medicinal plants samples, illustrating the potential health risk to consumers. To contribute to the correction of hygiene and sanitation inadequacies observed in the studied open-air fairs, educational interventions were made to the training of traders in Good Practices. As a complement, was drafted a specific legislation for the marketing of folk medicine's products in open-air fairs. Such actions, products and its developments will contribute significantly to improving the quality of products available to the population and the preservation of activity, potentially reducing the risks to public health.

Utilizando comitês de classificadores para predição de rendimento escolar

Educational Data Mining is an application domain in artificial intelligence area that has been extensively explored nowadays. Technological advances and in particular, the increasing use of virtual learning environments have allowed the generation of considerable amounts of data to be investigated. Among the activities to be treated in this context exists the prediction of school performance of the students, which can be accomplished through the use of machine learning techniques. Such techniques may be used for student’s classification in predefined labels. One of the strategies to apply these techniques consists in their combination to design multi-classifier systems, which efficiency can be proven by results achieved in other studies conducted in several areas, such as medicine, commerce and biometrics. The data used in the experiments were obtained from the interactions between students in one of the most used virtual learning environments called Moodle. In this context, this paper presents the results of several experiments that include the use of specific multi-classifier systems systems, called ensembles, aiming to reach better results in school performance prediction that is, searching for highest accuracy percentage in the student’s classification. Therefore, this paper presents a significant exploration of educational data and it shows analyzes of relevant results about these experiments.