A DSP implementation of an AOM and its application to defects detection in textile material

This paper explains a method of defects detection in textile material using a DSP. This Supervised Learning method will allow the detection of defects in anyone of the phases of production. An algorithm of pattern classification based on minimum distance is used to carry out this method. Scalar distance in an Associative Orthogonal Memory (AOM network) is used to provide a measure of the angle which form the 2 compared vectors too. In our system, we can appreciate that the method doesn't require an excessive processing time, so we can implement it for real time processing. Other advantage of the system is that it is applied to different types of clothes and defects (In general, other approaches are centred in only one type of defect). In the other hand, our algorithms produce rates of success around 94%. These results are quite encouraging if we keep in mind that it has been analysed some complex cloth types (such as lined cloth). To finish, and since the results obtained both in error rate and in execution times have been quite good, the application of this method can be very advantageous, moreover knowing that the development environment used is relatively simple

Evaluation of Polysaccharide Typhim Vi Antibody Response as a predictor of Humoral Immunodeficiency in Haematological Malignancies

An increasing healthcare challenge in the management of haematological malignancy (HM) is secondary immunodeficiency. From January 2019, the EMA included the evaluation of specific antibody (Ab) responses to better select patients for immunoglobulin replacement therapy (IgRT). We evaluated Ab responses to pneumococcal and Salmonella typhi pure polysaccharide immunization in a cohort of 42 HM patients and 24 healthy-controls. Pre-post specific Ab concentrations were measured by ELISA at 4 weeks. Globally, significantly lower Typhim Vi (TV) seroprevalence (9%) compared to 23-valent pneumococcal polysaccharide vaccine (PPV) (76%) (p <0.001) was observed. TV non responders (88%) were higher than PPV non responders (62%) (p <0.0001) and correlated better to infectious history. By ROC analysis, pre-post 5-fold TV increase was the best cut-off to discriminate HM with recurrent infections and controls (sensitivity 91%, specificity 100%). Despite the small sample cohort, our results suggest that specific anti-S typhi Ab response is a useful complementary assay in the diagnosis and management decision of SID to HM.Depto. de Inmunología, Oftalmología y ORLFac. de MedicinaTRUEpu