31 research outputs found

    Automatic crack classification by exploiting statistical event descriptors for Deep Learning

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    In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of big data from low-cost sensors with communication capabilities and advanced modeling tools such as Deep Learning. The main purpose of this paper is to combine deep neural networks with Bidirectional Long Short Term Memory and advanced statistical analysis involving Instantaneous Frequency and Spectral Kurtosis to develop an accurate classification tool for tensile, shear and mixed modes originated from acoustic emission events (cracks). We investigated on effective event descriptors to capture the unique characteristics from the different types of modes. Tests on experimental results confirm that this method achieves promising classification among different crack events and can impact on the design of future on structural health monitoring (SHM) technologies. This approach is effective to classify incipient damages with 92% of accuracy, which is advantageous to plan maintenance.Comment: 19 pages, 2 tables, 9 figure

    Valore del dosaggio radioimmunologico del paratormone plasmatico nella diagnosi di iperparatiroidismo primitivo

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    Si trata di uno studio in cui viene preso in considerazione il valore del dosaggio radioimmunologico del paratormone plasmatico in pazienti con diagnosi di iperparatiroidismo primitiv

    Treatment of reflux gastritis: double blind comparison between clebopride and domperidone. A preliminary report

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    Altered gastro-duodenal motility seems to be a major factor of alkaline gastritis. Therefore prokinetic drugs have been extensively used for the treatment of this disease. Aim of this study has been to compare the effects of domperidone with those of a more recent drug of the orthopramide class, clebopride. Thirty patients affected by reflux gastritis have been randomly allocated to one of the two treatments. Clinical symptoms, endoscopic and histologic appearance of gastric mucosa, gastric pH and bile acid concentration in gastric juice have been evaluated before and after a four week course of therapy. A statistically significant improvement was observed for the clinical symptoms in the subjects treated with clebopride. Even if no statistical difference has been pointed out for the other parameters between and within the two groups, a slight trend in favour of clebopride was observed. It is concluded that clebopride is at least as effective as domperidone for the treatment of reflux gastritis but that more prolonged studies and different administration schedules are requested for a better evaluation

    Spie metaboliche precoci delle alterazioni ossee nell'iperparatiroidismo primitivo

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    Lo studio porta in luce gli quali possono essere gli indicatori precoci delle alterazioni ossee nell'iperparatiroidismo primitiv
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