Mineração de Dados para Identificar Aspectos que Influenciam o Desempenho nas Vendas de Produtos em uma Indústria de Confecção Do Vestuário

In garment industry, the production process is composed of severalsteps, starting with product development, production until itreaches the customer. All these processes generate a large volumeof data, about products, customers, sales, among others. The lackof knowledge about this data generated in the companies, cangenerate problems such as product returns and consequently theloss of customers. The application of data mining (DM) tasks canextract hidden patterns from this data. In this context, DMtechniques following Knowledge Discovery in Database (KDD)steps were used to identify patterns that may influence productsales performance in an apparel manufacturing industry. Thedataset considered were composed of 31 attributes, aboutcustomers, products, sales, from the years 2018 through 2020. Themain results of this analysis identified the attributes that mostinfluence product sales, which are: “product line”, “quota item”,“customer code”, and “tax coupon number”

Incremental value of FDG-PET/CT to monitor treatment response in infectious spondylodiscitis

To assess the added value of serial 2-deoxy-2-[18F]fluoro-D-glucose (FDG) uptake analysis in predicting clinical response to treatment in infectious spondylodiscitis (IS). We sought to analyze changes in quantitative FDG-PET/CT parameters among patients with clinical response or treatment failure and to compare the sensitivity and specificity of serial FDG-PET/CT and MRI in predicting treatment response in IS

The nucleotide sequence of Saccharomyces cerevisiae chromosome VII

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