A 32-year-old woman with recurrent major depressive disorder, borderline personality disorder, micro-psychotic episodes, and poor impulse control had multiple psychiatric hospitalizations because of dangerous cutting behavior. The self-injurious behavior had not been responsive to multiple pharmacological interventions or to dialectical behavioral therapy. Because it has been shown to reduce im...

Data were collected on all psychiatric referrals to 10 emergency rooms in New York State during a 72-hour period in early December 1988. Overall, 30 percent of the 362 cases were brought by the police while the 10 emergency room percentages referrals varied from 10 to 53 percent. As compared with nonpolice referrals, police cases were as likely to be rated by clinicians as currently having psyc...

Rapid growth of the aged population has caused an immense increase in the demand for healthcare services. Generally, the elderly are more prone to health problems compared to other age groups. With effective monitoring and alarm systems, the adverse effects of unpredictable events such as sudden illnesses, falls, and so on can be ameliorated to some extent. Recently, advances in wearable and se...

BACKGROUND The use of complementary and alternative medicine (CAM) among cancer patients is widespread and mostly self-administrated. Today, one of the most relevant topics is the nondisclosure of CAM use to doctors. This general lack of communication exposes patients to dangerous behaviors and to less reliable information channels, such as the Web. The Italian context scarcely differs from thi...

Some children, whom we have labeled poly-victims, experience very high levels of victimizations of different types. This article finds support for a conceptual model suggesting that there may be four distinct pathways to becoming such a poly-victim: (a) residing in a dangerous community, (b) living in a dangerous family, (c) having a chaotic, multiproblem family environment, or (d) having emoti...

Recognizing dangerous driver behavior is an essential part of predicting accurate vehicle trajectories in vehicle active safety systems. This paper proposes a lane change behavior classification approach to detect dangerous cut-in behaviors on highways. First, a probabilistic lane change behavior classifier is proposed based on Hidden Markov Models (HMMs). Then, time series data of lane changin...