Gendered (s)explorations among same-sex attracted young people in Australia

This paper seeks to import a more complex understanding of gendered subjectivity into discussions of young people and homosexuality, and is based on an Australian national survey (n=749) of same-sex attracted youth (SSAY) aged between 14 and 21. Results revealed significant gender differences with regard to patterns of sexual attraction, behaviour and identity labels among participants. For the young men in the study, there was more congruence between feelings of gender a-typicality, same-sex attractions and same-sex behaviours. Overall, young women displayed more fluidity with regard to their sexual feelings, behaviours and identities. Young women were more likely to be engaged in private explorations of lesbianism, concurrent with participation in heterosexual sex and relationships. Young women were also grappling with more limited and emotionally risky opportunities for sex with other girls who were already known to them as friends. The invisibility of lesbianism as an identity or practice led to confusion about what feelings meant for the future in the arena of lived experience. The paper concludes that more research is needed into the impact of gender on the development of young people's experiences of homosexuality, particularly the manner in which invisibility and lack of social acceptance of a full spectrum of sexual diversity may disadvantage young women's emotional health and well-being.

Receptor activation and 2 distinct COOH- terminal motifs control G-CSF receptor distribution and internalization kinetics.

We have studied the intracellular distribution and internalization kinetics of the granulocyte colony-stimulating factor receptor (G-CSF-R) in living cells using fusion constructs of wild-type or mutant G-CSF-R and enhanced green fluorescent protein (EGFP). Under steady-state conditions the G-CSF-R localized predominantly to the Golgi apparatus, late endosomes, and lysosomes, with only low expression on the plasma membrane, resulting from spontaneous internalization. Internalization of the G-CSF-R was significantly accelerated by addition of G-CSF. This ligand-induced switch from slow to rapid internalization required the presence of G-CSF-R residue Trp650, previously shown to be essential for its signaling ability. Both spontaneous and ligand-induced internalization depended on 2 distinct amino acid stretches in the G-CSF-R COOH-terminus: 749-755, containing a dileucine internalization motif, and 756-769. Mutation of Ser749 at position –4 of the dileucine motif to Ala significantly reduced the rate of ligand-induced internalization. In contrast, mutation of Ser749 did not affect spontaneous G-CSF-R internalization, suggesting the involvement of a serine-threonine kinase specifically in ligand-accelerated internalization of the G-CSF-R. COOH-terminal truncation mutants of G-CSF-R, found in severe congenital neutropenia, lack the internalization motifs and were completely defective in both spontaneous and ligand-induced internalization. As a result, these mutants showed constitutively high cell-surface expression.

A low-cost intelligent gas sensing device for military applications

The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is based around a small circuit board mounted in a plastic case with holes to allow the sensors to protrude through the top and allow the natural flow of gas evenly across them. The main control board consists of a microcontroller PCB with surface mount components for low cost and power consumption. The firmware of the device is based on an algorithm that uses an Artificial Neural Network (ANN) which receives input from an array of gas sensors. The various sensors feeding the ANN allow the microcontroller to determine the gas type and quantity. The Testing of the device involves the training of the ANN with a number of different target gases to determine the weightings for the ANN. Accuracy and reliability of the ANN is validated through testing in a specific gas filled environment.