No abstract

No abstract

There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this paper, we introduce the EuStress Solution, that aims to create an Information System to monitor and assess, continuously and in real-time, the stress levels of the students in order to predict burnout. The Information System will use a measuring instrument based on wearable device and machine learning techniques to collect and process stress-related data from the students without their explicit interaction. In the present study, we focus on heart rate and heart rate variability indices, by comparing baseline and stress condition. We performed different statistical tests in order to develop a complex and intelligent model. Results showed the neural network had the better model fit. KeywordsStress . Heart rate variability metrics . Wearable devices . Medical students This article is part of the Topical Collection on Mobile & Wireless Health

The current methods of the development and implementation of a Data Warehouse don't consider the integration with the organizationalprocesses and their respective data. In addition to these current methods, based on demand-driven, data-driven and goal-driven, we will introduce in this paper a new approach to DW development and implementation. This proposal will be based on the integration of organizational processes and their data, denote by: Integrated-Process-Driven (IPD. The principles of this approach are founded on the relationships between business-processes and Entity-Relationship-Models (ERM), the Relational Database (RDB) data models. These relationships are originated in the Architecture of Integrated Information Systems (ARIS) methodology. IPD will use the information extracted from the data-driven, on the one side, to match (or define) the AS-IS business processes model. On the other hand, IPD will use the information returned from the demand-driven (required by the DW users) to define the TO-BE business process model based also on the AS-IS model. IPD will integrate the new data models, originated in the TO-BE business processes model, with the DW requirements. The aim of IPD is to define (or to redefine) the organizational processes which will supply the DW with data. The added-value of this approach will be the integration of the previous methods (demand-driven and data-driven) with organizational processes that will treat these sets of informations to be used by the DW. Our approach is also a trigger for business processes reengineering and optimization. Finally, the goal-driven will verify if the IPD achieves the business goals.

No abstract