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Updated: Jan 26, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
Published on: November 11, 2022
Learning what our target audiences think and do: extending segmentation to all four bases
Anna Kitunen1, Sharyn Rundle-Thiele2, Mohammad Kadir2
1Social Marketing @ Griffith, Griffith University 170 Kessels Road Nathan, Qld, Brisbane, 4111, Australia. annakatariina.kitunen@griffithuni.edu.au.
Background:
While acknowledged as one of social marketing's necessities, limited reporting of segmentation exists. The current study seeks to extend segmentation drawing on all four segmentation bases within the context of Queensland young adult sexual health behaviour.
Methods:
An online survey was used to collect data from 15 to 29 year old people in Queensland, Australia. Data collection was undertaken online to capture the broader population of young adults and in person on campuses to gather data from students who were currently enrolled at University. Quotas were set to ensure a broad representation was attained reflecting the States demography.
Results:
Two-step cluster analysis revealed three different segments. The most important variables in segment formation were age, household type, experience of risky sexual encounters and previously being tested or treated for sexually transmissible infections (STIs). The results suggest that demographic and behavioural variables were the most effective in segment definition.
Conclusions:
This study investigated young people aged 15-29 in Queensland, Australia to examine group differences drawing from four bases. This study revealed three distinct segments in a sexual health context and highlighted the importance of behavioural variables in segment formation, insight and understanding.
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