31 research outputs found
Automatic crack classification by exploiting statistical event descriptors for Deep Learning
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
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
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
Lo studio porta in luce gli quali possono essere gli indicatori precoci delle alterazioni ossee nell'iperparatiroidismo primitiv