Developing intergenerational connections in Manchester Looking back Looking forward 0 Although we may not use the term, all of us enter into intergenerational relationships. As parents, grandparents, children, politicians even, our lives revolve around mutual support and care. The sharing of knowledge and expertise between the generations is the hallmark of healthy, sustainable communities, cre...

I take the reins of IEEE Internet Computing after 10 years of the magazine's existence, and a crazy 10 years it has been — if not for the magazine itself, then for the Internet. With my first column as editor in chief, I'd like to look back at the past decade and how the magazine has evolved along with the Internet. I picked the column heading, All Systems Go, to highlight one of these evolutio...

havioral approaches; specifically, they concern topics such as the mobile environment, u-Health, organizational and individual barriers to information systems, user preference to monitors, and human factors in engineering. The collection of topics here is only one example of the gradual rise in interest in social factors, policy, and behavioral informatics. This trend is not only a consequence ...

Editorial I n the mid-1700s, the medical establishment believed that scurvy was a disease of putrefaction that was treatable with an elixir of vitriol and wort. The benefit of citrus was dismissed as unproven despite the fact that its regular consumption to prevent scurvy had been used by some cultures since antiquity and the English military had recommended citrus for scurvy for more than 50 y...

NATURE REVIEWS | NEUROSCIENCE VOLUME 4 | OCTOBER 2003 | 8 2 9 The theoretical concept of working memory assumes that a limited capacity system, which temporarily maintains and stores information, supports human thought processes by providing an interface between perception, long-term memory and action1–3. There are many approaches to the study of working memory, using a range of empirical and t...

artificial neural networks (ann) have shown to be a powerful tool for system modeling in a wide range of applications. the focus of this study is on neural network applications to data analysis in egg production. an ann model with two hidden layers, trained with a back propagation algorithm, successfully learned the relationship between the input (age of hen) and output (egg production) variabl...

the goal of this study was to predict the moisture content of paddy using machine vision and artificial neural networks (anns). the grains were dried as thin layer with air temperatures of 30, 40, 50, 60, 70, and 80°c and air velocities of 0.54, 1.18, 1.56, 2.48 and 3.27 ms-1. kinetics of l*a*b* were measured. the air temperature, air velocity, and l*a*b* values were used as ann inputs. the res...