Andrea Guazzini

TL;DR: In this paper, the Biodanza intervention, a nonpharmacological dance movement-based treatment for Alzheimer's disease, significantly decreased agitated and neuropsychiatric behaviors in 16 institutionalized older people with dementia.

TL;DR: In this paper, a cognitive-inspired algorithm is proposed for revealing the structure of dynamic social networks using information about physical encounters logged by the users' mobile devices. And the main features of the algorithm are: the capacity of detecting social communities induced by physical co-location of users through distributed algorithms, the capacity to detect users belonging to more communities (thus acting as bridges across them), and the capacity for detecting the time evolution of communities.

TL;DR: The Digital Life Balance (DLB) Scale as mentioned in this paper is a measuring instrument that can capture both people's balanced and unbalanced use of ICTs to indicate a harmonic balance between digital life and real life.

TL;DR: In stroke subjects any type of rehabilitation leads to a consistent improvement of standing balance, while proportional to motility and sensitivity increase, this result is inversely correlated to initial motility score, suggesting that an appropriate evaluation of the stroke patient’s functional parameters at admission contributes to select the main rehabilitation targets and the best therapeutic strategy.

TL;DR: In this paper, the authors have studied chatlines in the framework of social networks and identified several parameters which represent meaningfull statistical estimators of the activity of the network and computed the correlation of these parameters and measures of network statistics.