Browsing by Subject "water"

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Open Access
The fluid experience of space : physical body in virtual spaces over an analysis of Osmose
(2003) Varinlioğlu, Güzden
By the naissance of virtual reality, the body is repressed and transformed into representation in technological virtuality, and the cyberspace has defined as the space experienced by the mind that is separated from the body. By this transformation to ‘simulacra’, this dystopian world of Neuromancer has become the model for future works. Whereas by the help of Char Davies’ Osmose using Virtual Reality technology, the boundaries of technological virtuality is expanded in such a way to include the de-technologized virtuality: the virtuality of nature. By the use of virtual reality technology, Davies’s interpretation to cyberspace is transgressive in terms of body and space notion. Starting from the definition virtuality of nature, my aim is to analyze the virtuality of water, that will help the thesis to criticize the technology per se and proposes ‘other’ space and body relation in this newly created environment: water space. By the direct ‘contact’ of the body, water space become united with the element, dissolving the boundaries of object/subject, inside/outside splits. Drawing parallel lines between water and imagination, virtuality and freedom, this thesis proposes a look at the cyberspace notion through water.
Open Access
Profiling turkish honeys to determine authenticity using physical and chemical characteristics
(2009) Senyuva H.Z.; Gilbert J.; Silici, S.; Charlton, A.; Dal, C.; Gürel, N.; Cimen, D.
Seventy authentic honey samples of 9 different floral types (rhododendron, chestnut, honeydew, Anzer (thymus spp.), eucalyptus, gossypium, citrus, sunflower, and multifloral) from 15 different geographical regions of Turkey were analyzed for their chemical composition and for indicators of botanical and geographical origin. The profiles of free amino acids, oligosaccharides, and volatile components together with water activity were determined to characterize chemical composition. The microscopic analysis of honey sediment (mellissopalynology) was carried out to identify and count the pollen to provide qualitative indicators to confirm botanical origin. Statistical analysis was undertaken using a bespoke toolbox for Matlab called Metabolab. Discriminant analysis was undertaken using partial least-squares (PLS) regression followed by linear discriminant analysis (LDA). Four data models were constructed and validated. Model 1 used 51 variables to predict the floral origin of the honey samples. This model was also used to identify the top 5 variable important of projection (VIP) scores, selecting those variables that most significantly affected the PLS-LDA calculation. These data related to the phthalic acid, 2-methylheptanoic acid, raffinose, maltose, and sucrose. Data from these compounds were remodeled using PLS-LDA. Model 2 used only the volatiles data, model 3 the sugars data, and model 4 the amino acids data. The combined data set allowed the floral origin of Turkish honey to be accurately predicted and thus provides a useful tool for authentication purposes. However, using variable selection techniques a smaller subset of analytes have been identified that have the capability of classifying Turkish honey according to floral type with a similar level of accuracy. © 2009 American Chemical Society.