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- Kristensson, Joana, 1972, et al.
(författare)
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Evaluation of treatment effects of semantic feature analysis on mild anomia in multiple sclerosis
- 2022
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Ingår i: Aphasiology. - : Informa UK Limited. - 0268-7038 .- 1464-5041. ; 36:6, s. 706-731
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Tidskriftsartikel (refereegranskat)abstract
- Background: Multiple sclerosis (MS) commonly includes anomia and other communicative deficits that affect communicative participation and quality of life. Anomia treatment in MS is currently unexplored. Owing to the degenerative nature of MS, compensatory treatment might be preferable to restorative treatment. Semantic feature analysis (SFA) has been reported to have a treatment effect in aphasia and traumatic brain injury, and it can also be used as a compensatory word-finding strategy. SFA might therefore be effective on anomia in MS. Aims: The aim of this study was to evaluate the treatment effects of SFA on mild anomia in MS. Hypotheses were that, if used as a strategy, SFA may improve word-retrieval ability in connected speech, reduce self-perceived word-finding difficulties and increase communicative participation. Methods & Procedures: Two participants (one with relapsing-remitting MS, one with progressive MS) experiencing anomia and reduced communicative participation took part in this early-phase study with a single-case experimental design (SCED). Outcome measures included accuracy and speed in confrontation naming of treated items, correct information units (CIUs) in a re-telling task, self-reported strategy use in everyday communication, self-reported occurrence of anomia and related nuisance, and self-reported communicative participation. Measurements were carried out before treatment, at the beginning of every third treatment session, once directly after treatment, repeatedly during a maintenance phase, and once at a follow-up session ten weeks after treatment. Outcomes & Results: No treatment effects on confrontation-naming ability, re-telling ability or self-reported measures were evident in either participant after treatment with SFA. Effects of repeated measures appeared as reduced response time in confrontation naming. Conclusions: SFA as the sole element of treatment may not be sufficient to obtain treatment effects on mild anomia in MS. Further research is warranted. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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| 2. |
- Townend, Paul, et al.
(författare)
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COGNIT: challenges and vision for a serverless and multi-provider cognitive cloud-edge continuum
- 2023
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Ingår i: 2023 IEEE International Conference on Edge Computing and Communications (EDGE). - : IEEE. - 9798350304831 - 9798350304848 ; , s. 12-22
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Konferensbidrag (refereegranskat)abstract
- Use of the serverless paradigm in cloud application development is growing rapidly, primarily driven by its promise to free developers from the responsibility of provisioning, operating, and scaling the underlying infrastructure. However, modern cloud-edge infrastructures are characterized by large numbers of disparate providers, constrained resource devices, platform heterogeneity, infrastructural dynamicity, and the need to orchestrate geographically distributed nodes and devices over public networks. This presents significant management complexity that must be addressed if serverless technologies are to be used in production systems. This position paper introduces COGNIT, a major new European initiative aiming to integrate AI technology into cloud-edge management systems to create a Cognitive Cloud reference framework and associated tools for serverless computing at the edge. COGNIT aims to: 1) support an innovative new serverless paradigm for edge application management and enhanced digital sovereignty for users and developers; 2) enable on-demand deployment of large-scale, highly distributed and self-adaptive serverless environments using existing cloud resources; 3) optimize data placement according to changes in energy efficiency heuristics and application demands and behavior; 4) enable secure and trusted execution of serverless runtimes. We identify and discuss seven research challenges related to the integration of serverless technologies with multi-provider Edge infrastructures and present our vision for how these challenges can be solved. We introduce a high-level view of our reference architecture for serverless cloud-edge continuum systems, and detail four motivating real-world use cases that will be used for validation, drawing from domains within Smart Cities, Agriculture and Environment, Energy, and Cybersecurity.
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