TRAP and SRAP markers to find genetic variability in complex polyploid Paullinia cupana var. sorbilis.

The guarana plant (Paullinia cupana var. sorbilis) is a polyploid rich in natural caffeine, used as a source for producing industrial soft drinks. Embrapa Western Amazon maintains an Active Germplasm Bank (BGA) with 270 clones, which represents the genetic basis of the species conservation and breeding programs. The BGA evaluations conducted using phenotypic traits and Random Amplified Polymorphic DNA (RAPD) markers indicated low genetic variability. Therefore, the objective of this study was to analyze the genetic diversity of the clonal germplasm of the guarana plant using Target Region Amplification Polymorphism (TRAP) and Sequence-Related Amplification Polymorphism (SRAP) markers

Systematic analysis of the impact of label noise correction on ML Fairness

Arbitrary, inconsistent, or faulty decision-making raises serious concerns, and preventing unfair models is an increasingly important challenge in Machine Learning. Data often reflect past discriminatory behavior, and models trained on such data may reflect bias on sensitive attributes, such as gender, race, or age. One approach to developing fair models is to preprocess the training data to remove the underlying biases while preserving the relevant information, for example, by correcting biased labels. While multiple label noise correction methods are available, the information about their behavior in identifying discrimination is very limited. In this work, we develop an empirical methodology to systematically evaluate the effectiveness of label noise correction techniques in ensuring the fairness of models trained on biased datasets. Our methodology involves manipulating the amount of label noise and can be used with fairness benchmarks but also with standard ML datasets. We apply the methodology to analyze six label noise correction methods according to several fairness metrics on standard OpenML datasets. Our results suggest that the Hybrid Label Noise Correction method achieves the best trade-off between predictive performance and fairness. Clustering-Based Correction can reduce discrimination the most, however, at the cost of lower predictive performance

Análise de polimorfismo de inserção de transposon em Mycosphaerella fijiensis isolado do Estado do Amazonas.

O objetivo deste trabalho foi realizar uma triagem em isolados de M. fijiensis provenientes do estado do Amazonas baseada em TIP

Applying SMED methodology in cork stoppers production

Organizations are increasingly required to have a high level of quality and flexibility in production. In order to remain in the market and become competitive, the working methods practiced must be reliable and efficient. The present project sought the improvement of an equipment of the cork industry by introducing a variation, through the application of Lean methods. The equipment under study performs the union of a cork stopper to a capsule, which is done by gluing it with hot-melt glue. The amount of production makes the changeover activity a regular process. The method followed in this work was the study and collection of information on the Lean production philosophy and its application in the cork industry. The working conditions of the assembly machine were also analyzed in order to find opportunities for improvement. Thus, the tool used was the Value Stream Mapping (VSM) technique in order to acknowledge the processes that really add value to the product. The SMED (Single Minute of Exchange of Die) methodology was applied in a way to reduce the downtime caused by tool changes, and a reduction of 43% in total changeover time was obtained. It was also created an A3 model to monitor the entire development of the SMED project, Finally, the OEE (Overall Equipment Efficiency) calculation was implemented as an indicator of overall equipment efficiency, in order to improve the monitoring of possible deviations during production. The feedback also proves that lean tools are a powerful method to get solid returns without large investments.info:eu-repo/semantics/publishedVersio

PCR-restriction fragment length polymorphism (PCR-RFLP) can be used for species identification from Fusarium decemcellulare complex.

Resumo:649-1

Avaliação de genótipos de feijão-caupi em condições irrigadas para o mercado do feijão-verde em Teresina-PI.

O feijão-caupi é o feijão mais cultivado na região Nordeste do Brasil e o mercado para feijão-verde representa uma fonte de emprego e renda para os agricultores familiares ao redor das grandes cidades. O objetivo desse trabalho foi avaliar e selecionar genótipos de feijão-caupi sob condições irrigadas para o mercado de feijão-verde em Teresina, PI. O material experimental constou de 16 genótipos de feijão-caupi. O experimento foi conduzido no campo experimental da Embrapa Meio-Norte, em Teresina, PI, no ano de 2012. Utilizou-se o delineamento em blocos casualizados, com quatro repetições. Os caracteres avaliados foram: números de dias para o inicio da floração (NDIF), porte da planta (PP), acamamento (ACAM), frequência de colheita (FC), comprimento de vagem verde (COMPVV), número de grãos por vagem verde (NGVV), peso de cem grãos verdes (P100GV), produtividade de vagens verdes (PVV), produtividade de grãos verdes (PGV) e índice de grãos verdes (IGV). Foram realizadas análises de variâncias e as médias foram comparadas pelo teste de Scott-Knott (P<0,05). Existe a possibilidade de seleção para todos os caracteres, exceto para a frequência de colheita, produtividade de vagens verdes e o índice de grãos verdes. A linhagem MNC00-595F-27 apresentou a maior produtividade de grãos verdes em valor absoluto, no entanto comportou-se de forma semelhante aos demais genótipos avaliados.CONAC 2012. Disponível em: http://www.conac2012.org/resumos/pdf/165a.pdf. Acesso em: 02 ago. 2013

Biscoito de gergelim: qualidade nutricional na merenda escolar.

bitstream/CNPA/19927/1/FOLDER_biscoito_gergelim.pdfFolder