Convergence and Regional Productivity Divide in Italy: Evidence from Panel Data

Abstract: Using a panel data model to control for differences in regional technological levels and to take into account endogeneity, we find two key results for the growth of Italian regions. Firstly, we show that the rate of conditional convergence of each region is much higher (from 12% to 18% according to specifications) than that estimated in standard cross-section regressions (2%). Secondly, a large part of productivity gaps across regions cannot be imputed to differences in physical or human capital but it is rather related to relevant differences in Total Factor Productivity (TFP).economic growth, convergence, regional TFP heterogeneity; Italy

Orofacial muscles activity in children with swallowing dysfunction and removable functional appliances

Swallowing dysfunction is a frequent disorder among children and refers to an altered tongue posture and abnormal tongue movement during swallowing. Removable functional appliance is one of the treatments applied by dentistry to correct this disorder. The aim of this study was to evaluate any differences on orofacial muscles activity in children with swallowing dysfunction with and without removable functional appliances. 68 children were eligible for the study and divided into the orthodontic group (OG) and the no-orthodontic group (NO-OG). Both groups performed a dental occlusion-class evaluation, a swallowing function test and a myoscan analysis in order to measure perioral forces (i.e. tongue extension force, lip pressure, masseter contraction force). Our results showed a significant difference (P=0.02) between OG and NO-OG for the tongue extension force, whereas no significant differences (P>0.05) were found for the other parameters. Our findings suggest that children with swallowing dysfunction and removable functional appliance show orofacial muscles activity within the range of reference values (except for the lip pressure). However, we hypothesize that orthodontic treatment can achieve more effective results with integration of myofunctional therapy

Convergence and Regional Productivity Divide in Italy: Evidence from Panel Data

Abstract: Using a panel data model to control for differences in regional technological levels and to take into account endogeneity, we find two key results for the growth of Italian regions. Firstly, we show that the rate of conditional convergence of each region is much higher (from 12% to 18% according to specifications) than that estimated in standard cross-section regressions (2%). Secondly, a large part of productivity gaps across regions cannot be imputed to differences in physical or human capital but it is rather related to relevant differences in Total Factor Productivity (TFP)

Convergence and Regional Productivity Divide in Italy: Evidence from Panel Data

Abstract: Using a panel data model to control for differences in regional technological levels and to take into account endogeneity, we find two key results for the growth of Italian regions. Firstly, we show that the rate of conditional convergence of each region is much higher (from 12% to 18% according to specifications) than that estimated in standard cross-section regressions (2%). Secondly, a large part of productivity gaps across regions cannot be imputed to differences in physical or human capital but it is rather related to relevant differences in Total Factor Productivity (TFP)

Intraepithelial cells with irregular nuclear contours as a marker of esophagitis in children with gastroesophageal reflux disease

The diagnostic usefulness of intraepithelial cells with irregular nuclear contours (CINC) (squiggle cells) in esophageal biopsies was investigated in 76 children (range age: 6 months-12 years) with gastroesophageal reflux disease. A further 20 subjects (range age: 10 months-11 years) served as controls. Based on the microscopic changes of the esophagus, according to traditional histological criteria, four groups of patients were identified; esophagitis was severe in 27, moderate in 20, mild in 21, and 8 patients had no clear-cut evidence of microscopic esophagitis. Data are given as mean +/- SD. Intraepithelial CINC had an immunohistochemical profile consistent with T lymphocytes. Patients with severe esophagitis had a CINC density (number per high-power filed) (9.0 +/- 3.5) significantly higher than patients with mild esophagitis (7.0 +/- 3.0) and those without evidence of microscopic esophagitis (6.5 +/- 1.9) (P < 0.05), but not different from those with moderate esophagitis (8.0 +/- 3.6); in all patients groups the CINC density was higher than in controls (2.2 +/- 0.3) (P < 0.01). The percentage of reflux at 24-hr intraesophageal pH monitoring was higher in severe esophagitis patients (11.4 +/- 6.0) as compared to the other groups (moderate: 7.8 +/- 6.3; mild: 6.5 +/- 3.6; no microscopic esophagitis: 6.3 +/- 2.0; P < 0.05). There was no correlation between CINC density and the amount of intraesophageal acid exposure in all patients. Furthermore, 27 of our patients had a normal intraesophageal acid exposure at the prolonged pH test (24-hr % of reflux < or = 4.5): the CINC density was significantly higher in them than in the control

Tower of London test: a comparison between conventional statistic approach and modelling based on artificial neural network in differentiating fronto-temporal dementia from Alzheimer's disease

The early differentiation of Alzheimer's disease (AD) from frontotemporal dementia (FTD) may be difficult. The Tower of London (ToL), thought to assess executive functions such as planning and visuo-spatial working memory, could help in this purpose. Twentytwo Dementia Centers consecutively recruited patients with early FTD or AD. ToL performances of these groups were analyzed using both the conventional statistical approaches and the Artificial Neural Networks (ANNs) modelling. Ninety-four non aphasic FTD and 160 AD patients were recruited. ToL Accuracy Score (AS) significantly (p < 0.05) differentiated FTD from AD patients. However, the discriminant validity of AS checked by ROC curve analysis, yielded no significant results in terms of sensitivity and specificity (AUC 0.63). The performances of the 12 Success Subscores (SS) together with age, gender and schooling years were entered into advanced ANNs developed by Semeion Institute. The best ANNs were selected and submitted to ROC curves. The non-linear model was able to discriminate FTD from AD with an average AUC for 7 independent trials of 0.82. The use of hidden information contained in the different items of ToL and the non linear processing of the data through ANNs allows a high discrimination between FTD and AD in individual patients