323,703 research outputs found
LoRaWAN for city scale IoT deployments
No full textData set to accompany paper, Basford, P. J., Johnston, S., Apetroaie-Cristea, M., Bulot, F., & Cox, S. (2019). LoRaWAN for city scale IoT deployments. Paper presented at Global IoT Summit, Aarhus, Denmark. https://doi.org/10.1109/GIOTS.2019.8766359</span
A spiral model for adding automatic, adaptive authoring to adaptive hypermedia
No full textAt present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or their evaluation. In order to tackle these problems, we have looked into the causes of the complexity. Manual annotation has proven to be a bottleneck for authoring of adaptive hypermedia. One such solution is the reuse of automatically generated metadata. In our previous work we have proposed the integration of the generic Adaptive Hypermedia authoring environment, MOT ( My Online Teacher), and a semantic desktop environment, indexed by Beagle++. A prototype, Sesame2MOT Enricher v1, was built based upon this integration approach and evaluated. After the initial evaluations, a web-based prototype was built (web-based Sesame2MOT Enricher v2 application) and integrated in MOT v2, conforming with the findings of the first set of evaluations. This new prototype underwent another evaluation. This paper thus does a synthesis of the approach in general, the initial prototype, with its first evaluations, the improved prototype and the first results from the most recent evaluation round, following the next implementation cycle of the spiral model [Boehm, 88]
Evaluation of social personalized adaptive E-Learning environments : end-user point of view
No full textThe use of adaptations, along with the social affordances of collaboration and networking, carries a great potential for improving e-learning experiences. However, the review of the previous work indicates current e-learning systems have only marginally explored the integration of social features and adaptation techniques. The overall aim of this research, therefore, is to address this gap by evaluating a system developed to foster social personalized adaptive e-learning experiences. We have developed our first prototype system, Topolor, based on the concepts of Adaptive Educational Hypermedia and Social E-Learning. We have also conducted an experimental case study for the evaluation of the prototype system from different perspectives. The results show a considerably high satisfaction of the end users. This paper reports the evaluation results from end user point of view, and generalizes our method to a component-based evaluation framework
Postoperative cognitive dysfunction in elderly patients. An integrated psychological and medical approach
No full textThe aim of the article is to review the latest progresses in the research of postoperative cognitive dysfunction (POCD) after cardiac and noncardiac surgery in elderly patients. While it is not yet possible to provide definite answers to some questions regarding POCD and additional work is required before a complete understanding of the mechanisms involved, we investigate the definition criteria for POCD, its incidence, medical complications and the social impact of POCD following anaesthesia and surgery. The article also reviews the POCD risk factors and the recent advances in identifying specific POCD biomarkers as well as the vulnerable cognitive areas of POCD and the neuropsychological instruments most frequently used to define and to survey the long-term follow-up of POCD
Efecte posibile ale aplicarii IFRS-urilor de catre intreprinderile mici si mijlocii italiene
No full textProvocari in procesul de armonizare din Romania si Italia - partea I
No full textArmonizzazione contabile,Romania,convergenza,IFRS
Provocari in procesul de armonizare din Romania si Italia - partea a II-a
No full textArmonizzazione contabile,Romania,convergenza,IFR
The efficacy of mindfulness meditation apps in enhancing users’ well-being and mental health related outcomes: a meta-analysis of randomized controlled trials
No full textBackground: Mindfulness applications are popular tools for improving well-being, but their effectiveness is unclear. We conducted a meta-analysis of randomized controlled trials (RCTs) that employed a mindfulness meditation app as the main intervention to improve users’ well-being and mental-health related outcomes. Methods: A systematic search was conducted in PsycINFO, PubMed, Web of Science, ProQuest Dissertations and Theses Global, the Cochrane Library, Open Grey and ResearchGate through June, 2020. Effects were calculated as standardized mean difference (Hedges’ g) between app-delivered mindfulness interventions and control conditions at post-test and pooled with a random-effects model. Results: From 2637 records, we selected 34 trials (N = 7566). Significant effect sizes were found at post-test for perceived stress (n = 15; g = 0.46, 95% CI [0.24, 68], I2= 68%), anxiety (n = 15; g = 0.28, 95% CI [0.16, 40], I2= 35%), depression (n = 15; g = 0.33, 95% CI [0.24, 43], I2= 0%), and psychological well-being (n = 5; g = 0.29, 95% CI [0.14, 45], I2= 0%). No significant effects were found for distress at post-test (n = 6; g = 0.10, 95% CI [-0.02, 22], I2= 11%) and general well-being (n = 5; g = 0.14, 95% CI [-0.02, 0.29], I2 = 14%). Conclusion and limitations: Mindfulness apps seem promising in improving well-being and mental-health, though results should be interpreted carefully due to the small number of included studies, overall uncertain risk of bias and heterogeneity
Comparative analysis of adaptation in adaptive educational hypermedia and IMS-learning design
No full textCurrently, Adaptive Educational Hypermedia (AEH) and IMS Learning Design (IMS-LD) are separate research areas, with little shared knowledge between them. Their goal, however, is the same: to design, author and implement the best possible learning experience for the learner. This paper addresses the issue of differences and similarities between AEH and IMS-LD with regard to knowledge representation and adaptation and investigates, generically, as well as for the specific case of the Layered AHS Authoring-Model and Operators (LAOS) framework, how these paradigms can benefit from each other
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