We are currently developing and evaluating a behavior change intervention to reduce the risk of lead exposure at the household level.
This first region-wide study (N = 2,818) aims to estimate prevalence of HIV-related risks (sexual behavior, HIV disclosure, number of sex partners, violence) and factors associated with these risks as well as evaluate a behavior change communications program targeted to PLHIV in 6 countries in Central America.
There are two aspects that we wanted to evaluate: (a) the behavior of the gateway selection algorithm and (b) the different MAC logics, implemented using pluralisMAC.
We have proposed a set of metrics to evaluate a user behavior from several aspects, such as parallel overall metric, parallel local metric and historical metric, etc., which should be taken into account so as to find those users who deviate much from several normal patterns.
A number of studies have already deployed smartphones as a device to evaluate a driver's behavior and also road surface conditions in the literature [10, 11].
By contrast, studies have proposed the use of smartphones to understand and evaluate a driver's behavior [5, 26, 49, 53 57].
Instead, professionals evaluate a child's behavior for signs which include failing to make eye contact with others, repetitive play, sensitivity to everyday noises and a lag in motor skills.
We evaluated defensive behavior with a repeated behavioral rank assay and a repeated sting assay (Giray et al. 2000; Guzmán-Novoa et al. 2003).
We evaluated defensive behavior with a repeated behavioral rank assay and corroborated the results with a repeated sting assay (Giray et al. 2000).
Followers evaluate a potential leader's behaviors and compare them with their preferred leadership behaviors.
