The Influence of Identifiable Personality Traits on Nurses’ Intention to Use Wireless Implantable Medical Devices

Technically-driven medical devices such as wireless implantable medical devices (WIMD) have become ubiquitous within healthcare. The use of these devices has changed the way nurses administer patient care. Consequently, the nursing workforce is large and diverse, and with it comes an expected disparity in personalities. Research involving human factors and technology acceptance in healthcare is not new. Yet due to the changing variables in the manner of which patient care is being administered, both in person and in the mechanism of treatment, recent research suggests that individual human factors such as personality traits may hold unknown implications involving more successful adoption of emerging technologies for patient care. The purpose of this research was to empirically investigate the influence of personality traits on a nurse’s intention to use WIMDs for patient care. One hundred and two nurses from a tertiary teaching hospital in Michigan were surveyed to determine if their identifiable personality traits statistically related to their intention to use a WIMD. A predictive model was developed by combining constructs from the unified theory of acceptance and use of technology (UTAUT) model and the Five Factor personality trait model (FFM). The model used moderated multiple regression (MMR) to statistically identify if the personality traits of openness, conscientiousness, extraversion, agreeableness, and neuroticism, moderated one or more statistically significant relationships between 1) performance expectancy (PE) and intention to use (IU), 2) effort expectancy (EE) and IU, 3) and social influence (SI) and IU. It was predicted that PE, EE, and SI would show statistical significance on a nurse’s IU of a WIMD when moderated by one or more of the five personality traits. Results showed statistical significance between PE and IU, and EE and IU, but not between SI and IU, when moderated by extraversion. Results showed no statistical significance between PE and IU, EE and IU, or SI and IU when moderated by openness, conscientiousness, agreeableness, or neuroticism. This research has contributed by conducting an investigation on individual human factors that may impact nurses’ intention to use emerging technologies; and by providing statistical evidence that may help to better predict the role personality traits have on a nurse’s adoption of WIMDs for patient care

Robustesse par conception de circuits implantés sur FPGA SRAM et validation par injection de fautes

Cette thèse s'intéresse en premier lieu à l'évaluation des effets fonctionnels des erreurs survenant dans la mémoire SRAM de configuration de certains FPGAs. La famille Virtex II Pro de Xilinx est utilisée comme premier cas pratique d'expérimentation. Des expérimentations sous faisceau laser nous ont permis d'avoir une bonne vue d'ensemble sur les motifs d'erreurs réalistes qui sont obtenus par des sources de perturbations réelles. Une méthodologie adaptée d'injection de fautes a donc été définie pour permettre une meilleure évaluation, en phase de conception, de la robustesse d'un circuit implanté sur ce type de technologie. Cette méthodologie est basée sur de la reconfiguration dynamique. Le même type d'approche a ensuite été évalué sur plusieurs cibles technologiques, ce qui a nécessité le développement de plusieurs environnements d'injection de fautes. L'étude a pour la première fois inclus la famille AT40K de ATMEL, qui permet un type de reconfiguration unique et efficace. Le second type de contribution concerne l'augmentation à faible coût de la robustesse de circuits implantés sur des plateformes FPGA SRAM. Nous proposons une approche de protection sélective exploitant les ressources du FPGA inutilisées par l'application. L'approche a été automatisée sur plusieurs cibles technologiques (Xilinx, Altera) et l'efficacité est analysée en utilisant les méthodes d'injection de fautes précédemment développées.This thesis focuses primarily on the evaluation of the functional effects of errors occurring in the SRAM configuration memory of some FPGAs. Xilinx Virtex II Pro family is used as a first case study. Experiments under laser beam allowed us to have a good overview of realistic error patterns, related to real disturbance sources. A suited fault injection methodology has thus been defined to improve design-time robustness evaluations of a circuit implemented on this type of technology. This methodology is based on runtime reconfiguration. The approach has then been evaluated on several technological targets, requiring the development of several fault injection environments. The study included for the first time the ATMEL AT40K family, with a unique and efficient reconfiguration mode. The second type of contribution is focused on the improvement at low cost of the robustness of designs implemented on SRAM-based FPGA platforms. We propose a selective protection approach exploiting resources unused by the application. The approach has been automated on several technological targets (Xilinx, Altera) and the efficiency has been analyzed by taking advantage of the fault injection techniques previously developed.SAVOIE-SCD - Bib.électronique (730659901) / SudocGRENOBLE1/INP-Bib.électronique (384210012) / SudocGRENOBLE2/3-Bib.électronique (384219901) / SudocSudocFranceF

An evaluation of the challenges of Multilingualism in Data Warehouse development

In this paper we discuss Business Intelligence and define what is meant by support for Multilingualism in a Business Intelligence reporting context. We identify support for Multilingualism as a challenging issue which has implications for data warehouse design and reporting performance. Data warehouses are a core component of most Business Intelligence systems and the star schema is the approach most widely used to develop data warehouses and dimensional Data Marts. We discuss the way in which Multilingualism can be supported in the Star Schema and identify that current approaches have serious limitations which include data redundancy and data manipulation, performance and maintenance issues. We propose a new approach to enable the optimal application of multilingualism in Business Intelligence. The proposed approach was found to produce satisfactory results when used in a proof-of-concept environment. Future work will include testing the approach in an enterprise environmen