1,485 research outputs found

    Norfolk Island

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    Generative migration of agents

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    Development of the multi-attribute Adolescent Health Utility Measure (AHUM)

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    Objective Obtain utilities (preferences) for a generalizable set of health states experienced by older children and adolescents who receive therapy for chronic health conditions. Methods A health state classification system, the Adolescent Health Utility Measure (AHUM), was developed based on generic health status measures and input from children with Hunter syndrome and their caregivers. The AHUM contains six dimensions with 4–7 severity levels: self-care, pain, mobility, strenuous activities, self-image, and health perceptions. Using the time trade off (TTO) approach, a UK population sample provided utilities for 62 of 16,800 AHUM states. A mixed effects model was used to estimate utilities for the AHUM states. The AHUM was applied to trial NCT00069641 of idursulfase for Hunter syndrome and its extension (NCT00630747). Results Observations (i.e., utilities) totaled 3,744 (12*312 participants), with between 43 to 60 for each health state except for the best and worst states which had 312 observations. The mean utilities for the best and worst AHUM states were 0.99 and 0.41, respectively. The random effects model was statistically significant (p < 0.0001; adjusted R2 = 0.361; RMSE = 0.194). When AHUM utilities were applied to the idursulfase trial, mean utilities in the idursulfase weekly and placebo groups improved +0.087 and +0.006, respectively, from baseline to week 53. In the extension, when all patients received idursulfase, the utilities in the treatment group remained stable and the placebo group improved +0.039. Discussion The AHUM health state classification system may be used in future research to enable calculation of quality-adjust life expectancy for applicable health conditions

    Compositional Design and Verification of a Multi-Agent System for One-to-Many Negotiation

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    A compositional verification method for multi-agent systems is presented and applied to a multi-agent system for one-to-many negotiation in the domain of load balancing of electricity use. Advantages of the method are that the complexity of the verification process is managed by compositionality, and that parts of the proofs can be reused in relation to reuse of components

    Deliberate evolution in multi-agent systems

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    and their applications. SMC is sponsored by the Netherlands Organization for Scientific Research (NWO). CWI is a member o

    Design Framework for Social Interaction with Location-based Games

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    Location-based games invite players to have new forms of meaningful social interactions with others and provide opportunities for players to engage with their own neighbourhood’s public space. Earlier research on user requirements for such games have identified seven different activity types that have proven to initiate social interaction and capture real life exchanges for meaningful play-based social experiences. Yet, current understanding on what makes these games successful in such endeavours is still insufficient. This study furthers current understanding on the effects of location-based games for social interaction in local communities: it studies the forms of social interaction that the previously identified seven types of game activities elicit by analysing the nature and types of the exchanges they trigger. Based on this analysis, a design framework is proposed to 1) analyse existing location-based games and describe the forms of social interaction they trigger, and 2) help practitioners design new game activities that target specific forms of social interaction. This contributes to the enhancement of current understanding on the impact that these games can have in local communities, and on the way they can be better designed and used to promote social exchanges that are desired by players

    Web-based physiotherapy for people affected by multiple sclerosis: a single blind, randomized controlled feasibility study

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    Objective: To examine the feasibility of a trial to evaluate web-based physiotherapy compared to a standard home exercise programme in people with multiple sclerosis. Design: Multi-centre, randomized controlled, feasibility study. Setting: Three multiple sclerosis out-patient centres. Participants: A total of 90 people with multiple sclerosis (Expanded Disability Status Scale 4–6.5). Interventions: Participants were randomized to a six-month individualized, home exercise programme delivered via web-based physiotherapy (n = 45; intervention) or a sheet of exercises (n = 45; active comparator). Outcome measures: Outcome measures (0, three, six and nine months) included adherence, two-minute walk test, 25 foot walk, Berg Balance Scale, physical activity and healthcare resource use. Interviews were undertaken with 24 participants and 3 physiotherapists. Results: Almost 25% of people approached agreed to take part. No intervention-related adverse events were recorded. Adherence was 40%–63% and 53%–71% in the intervention and comparator groups. There was no difference in the two-minute walk test between groups at baseline (Intervention-80.4(33.91)m, Comparator-70.6(31.20)m) and no change over time (at six-month Intervention-81.6(32.75)m, Comparator-74.8(36.16)m. There were no significant changes over time in other outcome measures except the EuroQol-5 Dimension at six months which decreased in the active comparator group. For a difference of 8(17.4)m in two-minute walk test between groups, 76 participants/group would be required (80% power, P &gt; 0.05) for a future randomized controlled trial. Conclusion: No changes were found in the majority of outcome measures over time. This study was acceptable and feasible by participants and physiotherapists. An adequately powered study needs 160 participants

    Communications Biophysics

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    Contains research objectives and reports on three research projects
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