RATIONALE Recent studies indicate that Adult Separation Anxiety Disorder (ASAD) may represent a discrete diagnostic entity worthy of attention. Adults with separation anxiety report extreme anxiety and fear about separations from major attachment figures (partner, children or parents). These symptoms affect individual's behavior, lead to severe impairment in social relationships and are not bet...

This study examined the internal consistency and construct validity of the Separation Anxiety Assessment Scale for Children in a non-clinical Italian sample of 358 children ages 6 to 10 years. Statistically significant differences were examined by sex and age. Two exploratory factor analyses were carried out: (a) on the symptom sub-dimensions which led to three interpretable factors of Fear of ...

BACKGROUND The high comorbidity between depressive and anxiety disorders, especially among females, has called into question the independence of these two symptom groups. It is possible that childhood anxiety typically precedes depression in girls. Comparing of the predictive utility of symptoms of anxiety with the predictive utility of symptoms of depression from early childhood to early adole...

Administered a 31-item worry measure, based on criteria from the Diagnostic and Statistical Manual of Mental Disorders (3rd ed., rev.; American Psychiatric Association, 1987) for anxiety disorders, to referred children with anxiety disorders (n = 72) or attention deficit hyperactivity disorder (ADHD; n = 50), and to nonreferred, never psychiatrically ill controls (n = 55). Anxiety and ADHD grou...

This paper, based on a Multipurpose survey on a large national sample of Italian households which has made possible to analyse parent-child and grandparent-child dyads, explores the impact of marital instability on relationships with adult children and with grandchildren. As in other countries, the impact is more negative in the case of divorce than in case of widowhood and, in both cases, more...

In this course project I investigated machine learning approaches on separating speech signals from background noise. Keywords—MFCC, SVM, noise separation, source separation, spectrogram