Physical activity (PA) helps to prevent osteoporosis, but older women are often sedentary. This study used a pre-post randomized controlled design to evaluate a 12-week exercise education intervention program based on the stages of change (SoC) and processes of change from the transtheoretical change model (TTM) to improve adherence with strength and balance training recommendations at levels s...

To meet the need for flexible and interactive teacher training, the Korean government created a Cyber Teacher Training Center (CTTC) in the summer of 1997. The CTTC project developed a software platform for managing online inservice teacher training, eleven general training courses, with plans to add more courses each year. This article examines the needs met through the introduction of online ...

We present a Unifying Theories of Programming (UTP) model of locations, where a location is either shareable or containable depending on whether its value can be dereferenced by a pointer. Our model of locations is similar to previous work on pointers within the UTP; the main difference is that the previous work on pointers only modelled shareable locations. We explain why containable locations...

One type of virtual community that has emerged prominently within the commercially-driven marketing research industry is the online panel. Online panels are opt-in, informed consent, privacyprotected subject pools recruited for Web-based research. Unlike virtual communities forged from interpersonal motivations, online panels represent a community of participants who have agreed to provide info...

We solve the dynamics of on-line Hebbian learning in large perceptrons exactly, for the regime where the size of the training set scales linearly with the number of inputs. We consider both noiseless and noisy teachers. Our calculation cannot be extended to non-Hebbian rules, but the solution provides a convenient and welcome benchmark with which to test more general and advanced theories for s...

We solve the dynamics of on-line Hebbian learning in perceptrons exactly, for the regime where the size of the training set scales linearly with the number of inputs. We consider both noiseless and noisy teachers. Our calculation cannot be extended to non-Hebbian rules, but the solution provides a nice benchmark to test more general and advanced theories for solving the dynamics of learning wit...