The self-concepts and possible selves of problem gamblers : A qualitative exploration
- Authors: Lewis, Andrew , Carnie, Kendall
- Date: 2006
- Type: Text , Conference paper
- Relation: Paper presented at the 2006 Annual Conference - National Association for Gambling Studies, Alphington, Australia : 10th November, 2005 p. 41-61
- Full Text: false
- Reviewed:
- Description: The study investigated the self-concepts and possible selves of pathological gamblers. Six female egm users were recruited from a Victorian problem gambling counselling service. Three participants were currently gambling and three were not gambling. They were interviewed in-depth and using thematic analysis four dominant themes were identified. (1) Self-concepts tended to be consistent across all participants, (2) having a past self as being the dominant characteristics of possible selves coincided with greater possible selves clarity, (3) non-gambler's had more elaborate and specific plans for how to create change than did gambler's, and (4) non-gambler's had more plans to become possible selves which address goals of intrinsic meaning, rather than having a general goal to 'not gamble'. The findings are discussed in terms of implications for the cognitive theory of possible selves and suggestions for further research to investigate the utility of the constructs as a basis for a treatment modality.
- Description: E1
- Description: 2003002057
DFS based partial pathways in GA for protein structure prediction
- Authors: Hoque, Md Tamjidul , Chetty, Madhu , Lewis, Andrew , Sattar, Abdul
- Date: 2008
- Type: Text , Conference paper
- Relation: Third IAPR International Conference, PRIB 2008
- Full Text:
- Reviewed:
- Description: Nondeterministic conformational search techniques, such as Genetic Algorithms (GAs) are promising for solving protein structure prediction (PSP) problem. The crossover operator of a GA can underpin the formation of potential conformations by exchanging and sharing potential sub-conformations, which is promising for solving PSP. However, the usual nature of an optimum PSP conformation being compact can produce many invalid conformations (by having non-self-avoiding-walk) using crossover. While a crossover-based converging conformation suffers from limited pathways, combining it with depth-first search (DFS) can partially reveal potential pathways. DFS generates random conformations increasingly quickly with increasing length of the protein sequences compared to random-move-only-based conformation generation. Random conformations are frequently applied for maintaining diversity as well as for initialization in many GA variations.