Abstract
Purpose: The aim of the current study is to describe the functionality of free software developed for energy system contributions and energy expenditure calculation during exercise, namely GEDAE-LaB. Methods: Eleven participants performed the following tests: 1) a maximal cycling incremental test to measure the ventilatory threshold and maximal oxygen uptake (VO2max); 2) a cycling workload constant test at moderate domain (90% ventilatory threshold); 3) a cycling workload constant test at severe domain (110%VO2max). Oxygen uptake and plasma lactate were measured during the tests. The contributions of the aerobic (AMET), anaerobic lactic (LAMET), and anaerobic alactic (ALMET) systems were calculated based on the oxygen uptake during exercise, the oxygen energy equivalents provided by lactate accumulation, and the fast component of excess post-exercise oxygen consumption, respectively. In order to assess the intra-investigator variation, four different investigators performed the analyses independently using GEDAE-LaB. A direct comparison with commercial software was also provided. Results: All subjects completed 10 min of exercise at moderate domain, while the time to exhaustion at severe domain was 144 ± 65 s. The AMET, LAMET, and ALMET contributions during moderate domain were about 93, 2, and 5%, respectively. The AMET, LAMET, and ALMET contributions during severe domain were about 66, 21, and 13%, respectively. No statistical differences were found between the energy system contributions and energy expenditure obtained by GEDAE-LaB and commercial software for both moderate and severe domains (P > 0.05). The ICC revealed that these estimates were highly reliable among the four investigators for both moderate and severe domains (all ICC = 0.94). Conclusion: These findings suggest that GEDAE-LaB is a free software easily comprehended by users minimally familiarized with adopted procedures for calculations of energetic profile using oxygen uptake and lactate accumulation during exercise. By providing availability of the software and its source code we hope to facilitate future related research.

Abstract
As recent studies show, people with disabilities still face several problems when using the web, therefore, even with all the efforts already made, there are yet issues without a clear solution. In this context, this paper presents an empirical study on the identification of navigation barriers by users with cerebral palsy and how some dynamic components, widely used nowadays, can directly influence their online activities.

Abstract
The effort of generating large city scenes is greatly reduced when using procedural modelling techniques. Nonetheless. users are limited to defining rules and tuning parameters in a define-generation reanalyse cycle, reducing direct control. Describing buildings with split-based operations may disrupt the creative process by forcing the user to focus on how to describe a building instead of how a building should look. We use planar shapes and two-dimensional boo lean operations allowing procedural descriptions that are More aligned with humans' perceptions of buildings while letting users directly manipulate shapes (e.g., by dragging) in an interactive application.

Abstract
In many institutions relational databases are used as a tool for managing information related to day to day activities. Institutions may be required to keep the information stored in relational databases accessible because of many reasons including legal requirements and institutional policies. However, the evolution in technology and change in users with the passage of time put the information stored in relational databases in danger. In the long term the information may become inaccessible when the operating system, database management system or the application software is not available any more or the contextual information not stored in the database may be lost thus affecting the authenticity and understandability of the information. This paper presents an approach for preserving relational databases for the long-term. The proposal involves migrating a relational database to a dimensional model which is simple to understand and easy to write queries against. Practical transformation rules are developed by carrying out multiple case studies. One of the case studies is presented as a running example in the paper. Systematic implementation of the rules ensures no loss of information in the process except for the unwanted details. The database preserved using the approach is converted to an open format but may be reloaded to a database management system in the long-term.

Abstract
The growing dependence of our society on increasingly complex software systems, makes software testing ever more important and challenging. In many domains, such as healthcare and transportation, several independent systems, forming a heterogeneous and distributed system of systems, are involved in the provisioning of endto- end services to users. However, existing testing techniques, namely in the model-based testing field, provide little tool support for properly testing such systems. Hence, in this paper, we propose an approach and a toolset architecture for automating the testing of end-to-end services in distributed and heterogeneous systems. The tester interacts with a visual modeling frontend to describe key behavioral scenarios, invoke test generation and execution, and visualize test results and coverage information back in the model. The visual modeling notation is converted to a formal notation amenable for runtime interpretation in the backend. A distributed test monitoring and control infrastructure is responsible for interacting with the components of the system under test, as test driver, monitor and stub. At the core of the toolset, a test execution engine coordinates test execution and checks the conformance of the observed execution trace with the expectations derived from the visual model. A real world example from the Ambient Assisted Living domain is presented to illustrate the approach.

Abstract
Application frameworks are a powerful technique for large-scale reuse but often very hard to learn from scratch. Although good documentation helps on reducing the learning curve, it is often found lacking, and costly, as it needs to attend different audiences with disparate learning needs. When code and documentation prove insufficient, developers turn to their network of experts. The lack of awareness about the experts, interrupting the wrong people, and experts unavailability are well known hindrances to effective collaboration. This paper presents the DRIVER platform, a collaborative learning environment for framework users to share their knowledge. It provides the documentation on a wiki, where the learning paths of the community of learners can be captured, shared, rated, and recommended, thus tapping into the collective knowledge of the community of framework users. The tool can be obtained at http://bit.ly/driverTool.