Home is where my archive is

The miniaturization and dissemination of audiovisual media into small, mobile assemblages of cameras, screens and microphones has brought "database cinema" (Manovich) into pockets and handbags. In turn, this micro-portability of video production calls for a reconsideration of database cinema, not as an aesthetic but rather as a media ecology that makes certain experiences and forms of interaction possible. In this context the clip and the fragment become a social currency (showing, trading online, etc.), and the enjoyment of a moment or "occasion" becomes an opportunity for recording, extending, preserving and displaying. If we are now the documentarists of our lives (as so many mobile phone adverts imply), it follows that we are also our own archivists as well. From the folksonomies of Flickr and YouTube to the slick "media centres" of Sony, Apple and Microsoft, the audiovisual home archive is a prized territory of struggle among platforms and brands. The database is emerging as the dominant (screen) medium of popular creativity and distribution – but it also brings the categories of "home" and "person" closer to that of the archive.

Artificial neural networks in modelling osmotic dehydration of foods

Artificial neural network (ANN) models for water loss (WL) and solid gain (SG) were evaluated as potential alternative to multiple linear regression (MLR) for osmotic dehydration of apple, banana and potato. The radial basis function (RBF) network with a Gaussian function was used in this study. The RBF employed the orthogonal least square learning method. When predictions of experimental data from MLR and ANN were compared, an agreement was found for ANN models than MLR models for SG than WL. The regression coefficient for determination (R2) for SG in MLR models was 0.31, and for ANN was 0.91. The R2 in MLR for WL was 0.89, whereas ANN was 0.84.Osmotic dehydration experiments found that the amount of WL and SG occurred in the following descending order: Golden Delicious apple > Cox apple > potato > banana. The effect of temperature and concentration of osmotic solution on WL and SG of the plant materials followed a descending order as: 55 > 40 > 32.2C and 70 > 60 > 50 > 40%, respectively.