Universics - a Common Formalization Framework for Brain Informatics and Semantic Web

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“There Is Never a Break”: The Hidden Curriculum of Professionalization for Engineering Faculty

The purpose of this exploratory special issue study was to understand the hidden curriculum (HC), or the unwritten, unofficial, or unintended lessons, around the professionalization of engineering faculty across institutions of higher education. Additionally, how engineering faculty connected the role of HC awareness, emotions, self-efficacy, and self-advocacy concepts was studied. A mixed-method survey was disseminated to 55 engineering faculties across 54 institutions of higher education in the United States. Quantitative questions, which centered around the influences that gender, race, faculty rank, and institutional type played in participants’ responses was analyzed using a combination of decision tree analysis with chi-square and correlational analysis. Qualitative questions were analyzed by a combination of tone-, open-, and focused-coding. The findings pointed to the primary roles that gender and institutional type (e.g., Tier 1) played in issues of fulfilling the professional expectations of the field. Furthermore, it was found that HC awareness and emotions and HC awareness and self-efficacy had moderate positive correlations, whereas, compared to self-advocacy, it had weak, negative correlations. Together, the findings point to the complex understandings and intersectional lived realities of many engineering faculty and hopes that through its findings can create awareness of the challenges and obstacles present in these professional environments

Méthodes et modèles de conception et d'évaluation des interfaces homme-machine

L'importance accordée aux interactions homme-machine en général est actuellement énorme. L'orientation prise par les chercheurs et les industriels pour couvrir ce domaine est désormais résolument pluridisciplinaire. Ce mémoire d'Habilitation à Diriger des Recherches en informatique se situe dans cette mouvance en étant consacré à l'étude de méthodes de conception et d'évaluation des interfaces homme-machine (IHM) dans les systèmes complexes. Ce domaine de recherche se positionne au carrefour de l'ingénierie des IHM, du génie logiciel et de l'intelligence artificielle, tout en prenant en compte des concepts et modèles issus des sciences cognitives. Les aspects méthodologiques du développement d'interfaces homme-machine servent de canevas théorique tout au long du mémoire qui est organisé en trois chapitres. Le premier est consacré à un état de l'art sur le domaine de recherche. Après une étude critique des différents cycles de développement du génie logiciel, il recense autour d'un cadre théorique et méthodologique un ensemble de méthodes, modèles, techniques et outils contribuant au développement d'applications interactives dans les systèmes complexes. Le second chapitre est bâti autour d'un ensemble de contributions à l'ingénierie de conception et d'évaluation des interfaces homme-machine. Ces contributions résultent d'un travail d'équipe depuis mon arrivée au laboratoire en septembre 1985. Après une présentation des systèmes réalisés dans le cadre de cette recherche, ce chapitre présente plusieurs méthodes de conception ou d'évaluation mises en place autour de ceux-ci. Enfin, le troisième chapitre tire les leçons des aspects méthodologiques étudiés dans les deux premiers en proposant un modèle, appelé ∇, de développement d'applications interactives. Au cours de ces prochaines années, l'approfondissement de ce modèle devrait servir de cadre de pensée pour nos recherches. Pour l'ensemble des axes de recherche envisagés, un travail considérable reste à accomplir, au vu de la place de plus en plus importante que tient l'ingénierie des interfaces homme-machine dans de nombreux domaines

Gaining Insight into Determinants of Physical Activity using Bayesian Network Learning

Contains fulltext : 228326pre.pdf (preprint version ) (Open Access) Contains fulltext : 228326pub.pdf (publisher's version ) (Open Access)BNAIC/BeneLearn 202

Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving

Knowledge representation and reasoning has a long history of examining how knowledge can be formalized, interpreted, and semantically analyzed by machines. In the area of automated vehicles, recent advances suggest the ability to formalize and leverage relevant knowledge as a key enabler in handling the inherently open and complex context of the traffic world. This paper demonstrates ontologies to be a powerful tool for a) modeling and formalization of and b) reasoning about factors associated with criticality in the environment of automated vehicles. For this, we leverage the well-known 6-Layer Model to create a formal representation of the environmental context. Within this representation, an ontology models domain knowledge as logical axioms, enabling deduction on the presence of critical factors within traffic scenarios. For executing automated analyses, a joint description logic and rule reasoner is used in combination with an a-priori predicate augmentation. We elaborate on the modular approach, present a publicly available implementation, and exemplarily evaluate the method by means of a large-scale drone data set of urban traffic scenarios

The Protean Oboist: An Educational Approach to Learning Oboe Repertoire from 1960- 2015

64 page

Using the ResearchEHR platform to facilitate the practical application of the EHR standards

Possibly the most important requirement to support co-operative work among health professionals and institutions is the ability of sharing EHRs in a meaningful way, and it is widely acknowledged that standardization of data and concepts is a prerequisite to achieve semantic interoperability in any domain. Different international organizations are working on the definition of EHR architectures but the lack of tools that implement them hinders their broad adoption. In this paper we present ResearchEHR, a software platform whose objective is to facilitate the practical application of EHR standards as a way of reaching the desired semantic interoperability. This platform is not only suitable for developing new systems but also for increasing the standardization of existing ones. The work reported here describes how the platform allows for the edition, validation, and search of archetypes, converts legacy data into normalized, archetypes extracts, is able to generate applications from archetypes and finally, transforms archetypes and data extracts into other EHR standards. We also include in this paper how ResearchEHR has made possible the application of the CEN/ISO 13606 standard in a real environment and the lessons learnt with this experience. © 2011 Elsevier Inc..This work has been partially supported by the Spanish Ministry of Science and Innovation under Grants TIN2010-21388-C02-01 and TIN2010-21388-C02-02, and by the Health Institute Carlos in through the RETICS Combiomed, RD07/0067/2001. Our most sincere thanks to the Hospital of Fuenlabrada in Madrid, including its Medical Director Pablo Serrano together with Marta Terron and Luis Lechuga for their support and work during the development of the medications reconciliation project.Maldonado Segura, JA.; Martínez Costa, C.; Moner Cano, D.; Menárguez-Tortosa, M.; Boscá Tomás, D.; Miñarro Giménez, JA.; Fernández-Breis, JT.... (2012). Using the ResearchEHR platform to facilitate the practical application of the EHR standards. Journal of Biomedical Informatics. 45(4):746-762. doi:10.1016/j.jbi.2011.11.004S74676245