North-West elevation, C House, Coorparoo, Brisbane

As seen from pool deck. Concrete framework for The Nest on left.

Interior, C House, Coorparoo, Brisbane

View through bedroom interiors to windows on North-East elevation above pool deck.

Outdoor room, C House, Coorparoo, Brisbane

Looking towards pool deck, Hanging Basket top right.

Approach to site, C House, Cooparoo

Looking uphill towards house from road.

North-West elevation, C House, Coorparoo, Brisbane

As seen from car parking area.

Trellis, C House, Coorparoo, Brisbane

Trellis to outdoor room with Hanging Basket beyond.

Hanging Basket, C House, Coorparoo, Brisbane

Timber alcove located under skylight within outdoor room.

Iwan, C House, Coorparoo, Brisbane

View of Iwan and part of North-west elevation, as seen from pool deck.

Outdoor room, C House, Coorparoo, Brisbane

As seen from upper level of house.

Iwan, C House, Coorparoo, Brisbane

As seen from pool deck.

Outdoor room, C House, Coorparoo, Brisbane

Looking towards Iwan from within outdoor room.

North-West elevation, C House, Coorparoo, Brisbane

As seen from pool deck.

The use of transcriptional profiles to predict adult mosquito age under field conditions

Age is a critical determinant of an adult female mosquito's ability to transmit a range of human pathogens. Despite its central importance, relatively few methods exist with which to accurately determine chronological age of field-caught mosquitoes. This fact is a major constraint on our ability to fully understand the relative importance of vector longevity to disease transmission in different ecological contexts. It also limits our ability to evaluate novel disease control strategies that specifically target mosquito longevity. We report the development of a transcriptional profiling approach to determine age of adult female Aedes aegypti under field conditions. We demonstrate that this approach surpasses current cuticular hydrocarbon methods for both accuracy of predicted age as well as the upper limits at which age can be reliably predicted. The method is based on genes that display age-dependent expression in a range of dipteran insects and, as such, is likely to be broadly applicable to other disease vectors.

Rough Notes on Programming AVR Microcontrollers in C

These notes follow on from the material that you studied in CSSE1000 Introduction to Computer Systems. There you studied details of logic gates, binary numbers and instruction set architectures using the Atmel AVR microcontroller family as an example. In your present course (METR2800 Team Project I), you need to get on to designing and building an application which will include such a microcontroller. These notes focus on programming an AVR microcontroller in C and provide a number of example programs to illustrate the use of some of the AVR peripheral devices.