Qualitative Circuit Models in Failure Analysis Reasoning

Lee M.H., Qualitative Circuit Models in Failure Analysis Reasoning, AI Journal. vol 111, pp239-276.1999.

Qualitative Modelling of Linear Networks in ECAD Applications

Lee M.H., Qualitative Modelling of Linear Networks in ECAD Applications, Proc. 13th Int. Workshop on Qualitative Reasoning, (QR'99), Loch Awe, Scotland, 1999, pp146-52.

On the use of qualitative reasoning to simulate and identify metabolic pathways

King, R.D., Garrett, S.M., Coghill, G.M. (2005). On the use of qualitative reasoning to simulate and identify metabolic pathways. Bioinformatics 21(9):2017-2026 RAE2008

Learning Qualitative Metabolic Models

Coghill, G. M., Garrett, S. M. and King, R. D. (2004) Learning Qualitative Metabolic Models. European Conference on Artificial Intelligence (ECAI'04)

Learning Qualitative Models in the Presence of Noise

G. M. Coghill, S. M. Garrett and R. D. King (2002), Learning Qualitative Models in the Presence of Noise, QR'02 Workshop on Qualitative Reasoning

Qualitative Futures

Price, C., Trave-Massuyes, L., Milne, R., Ironi, L., Forbus, K., Bredeweg, B., Lee, M., Struss, P., Snooke, N., Lucas, P., Cavazza, M., Coghill, G. (2006). Qualitative Futures. The Knowledge Engineering Review, 21 (4), 317-334. Sponsorship: MONET European Network on Qualitative and Model-Based Reasoning

Qualitative evaluation of KA24 (Knowledge Access 24)

Durbin, J. & Urquhart, C. (2003). Qualitative evaluation of KA24 (Knowledge Access 24). Aberystwyth: Department of Information Studies, University of Wales Aberystwyth. Sponsorship: Knowledge Access 24 (NHS)

Comparing Student Software Designs Using Semantic Categorization

Eckerdal, A. McCartney, R. Mostr?m, J.E. Ratcliffe, M. Zander, C. Comparing Student Software Designs Using Semantic Categorization. Proceedings of the Fifth Finnish/Baltic Sea Conference on Computer Science Education, 2005

Capturing Collaborative Designs to Assist the Pedagogical Process

Ratcliffe, M. Thomas, L. Ellis, W. Thomasson, B. Capturing Collaborative Designs to Assist the Pedagogical Process.ACM SIGCSE Bulletin Volume 35 , Issue 3 (September 2003)

Exhibiting the behaviour of time-delayed systems via an extension to qualitative simulation

I. Miguel and Q. Shen. Exhibiting the behaviour of time-delayed systems via an extension to qualitative simulation. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 35(2):298-305, 2005.

Debugging: the good, the bad, and the quirky -- a qualitative analysis of novices' strategies

Murphy, L., Lewandowski, G., McCauley, R., Simon, B., Thomas, L., and Zander, C. 2008. Debugging: the good, the bad, and the quirky -- a qualitative analysis of novices' strategies. SIGCSE Bull. 40, 1 (Feb. 2008), 163-167

Internationalization motives and facilitating factors: Qualitative evidence from smaller specialist retailers

Hutchison, K.; Alexander, N.; Quinn, B.; and Doherty, A. M. (2007). Internationalization motives and facilitating factors: Qualitative evidence from smaller specialist retailers. Journal of International Marketing. 15(3), pp.96-122 RAE2008

Quasi -symmetric designs with good blocks and intersection number one

Mavron, Vassili; McDonough, T.P.; Schrikhande, M.S., (2003) 'Quasi -symmetric designs with good blocks and intersection number one', Designs Codes and Cryptography 28(2) pp.147-162 RAE2008

‘It was almost like the opposite of what I needed’: a qualitative exploration of client experiences of unhelpful therapy

Background: The issue of unhelpful and harmful therapy outcome has received an increasing amount of attention within the research literature in recent years. However, little research exists on the client's perspective of what constitutes unhelpful therapy. Aim: The aim of this study was to explore clients’ experiences of unhelpful therapy. Method: Semi-structured interviews were carried out with ten therapists who, as clients, experienced unhelpful therapy. Interview transcripts were analysed using interpretative phenomenological analysis. Findings: Participants recounted therapy episodes characterised by an absence of negotiation, collaboration and care; pivotal moments when they knew that they would not return; and ongoing negative effects. Conclusions: The findings of this study have implications for training and strategies for supporting clients who have been harmed by therapy.

Participant experiences in a breastmilk biomonitoring study: A qualitative assessment.

BACKGROUND: Biomonitoring studies can provide information about individual and population-wide exposure. However they must be designed in a way that protects the rights and welfare of participants. This descriptive qualitative study was conducted as a follow-up to a breastmilk biomonitoring study. The primary objectives were to assess participants' experiences in the study, including the report-back of individual body burden results, and to determine if participation in the study negatively affected breastfeeding rates or duration. METHODS: Participants of the Greater Boston PBDE Breastmilk Biomonitoring Study were contacted and asked about their experiences in the study: the impact of study recruitment materials on attitudes towards breastfeeding; if participants had wanted individual biomonitoring results; if the protocol by which individual results were distributed met participants' needs; and the impact of individual results on attitudes towards breastfeeding. RESULTS: No participants reported reducing the duration of breastfeeding because of the biomonitoring study, but some responses suggested that breastmilk biomonitoring studies have the potential to raise anxieties about breastfeeding. Almost all participants wished to obtain individual results. Although several reported some concern about individual body burden, none reported reducing the duration of breastfeeding because of biomonitoring results. The study literature and report-back method were found to mitigate potential negative impacts. CONCLUSION: Biomonitoring study design, including clear communication about the benefits of breastfeeding and the manner in which individual results are distributed, can prevent negative impacts of biomonitoring on breastfeeding. Adoption of more specific standards for biomonitoring studies and continued study of risk communication issues related to biomonitoring will help protect participants from harm.