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Introduction:There are only a few instruments available to assess behavioral problems in school-age children based on reports of physical education teachers. The Motor Behavior Checklist (MBC; Efstratopoulou, Janssen, Simons, 2012) was designed to be completed by this professional in free play-situations or during physical education classes to rate students’ motor-related behavior using 5-point Likert scales. The MBC comprises 59 items distributed into two broadband factors (externalizing and internalizing) and seven behavior problem scales: rule breaking, hyperactivity/impulsivity, lack of attention, low energy, stereotyped behaviors, lack of social interaction, and lack of self-regulation. The objective of this study was to describe the translation and cross-cultural adaptation processes of the MBC into Brazilian Portuguese. \ud Method: The following procedures were conducted: forward translation of the original instrument, production of a synthesized version, back-translation, literal and semantic comparison, back-translator’s evaluation of divergent items, synthesized version with back-translator’s suggestions, clarity assessment of the synthesized version by professionals (physical education teachers), focus group to assess clarity indicators of the instrument, evaluation of adjustments by the author of the instrument, and production of the final version. \ud Results: The results indicated a satisfactory level of agreement between the original and the back-translated versions, with 68% of exact equivalence between the translated items and 16% of terms requiring minor adjustments. In the draft version, 84% of the items were evaluated as clear by physical education teachers. \ud Conclusion:Future studies should be conducted to assess the psychometric properties of the Brazilian Portuguese version of the MBC.

The huge amount of files of different types (from photos, personal documents, to accounting or fiscal documents) which everyone stores in his own personal computer or in other hardware device (such as internet virtual space, external hard drives, etc.) risk, with the passing of time, to go lost. The founding idea of the eSCI project (eStore of Captured Information) is just to avoid the accidental loss of files, proposing to develop a web portal which allows the user to safely store his own documents and to retrieve them whenever he wants through a simple internet connection. Within the scope of this research project, the reached objective was double: first to assist the user in the document indexing activity, leading him to define the right keywords able to univocally characterize each file; in this way the user doesn’t index the document only though its file name but also providing more precise information about its content. This allows to characterize the document according to a semantic meaning which will make its retrieval easier. At the same time, we would develop a software architecture that should be able to automatically generate the right data entry forms needed to index each particular class of documents, avoiding the expensive activities of the evolutive maintenance of the application. We made use of ontologies to express the real semantic value that each document could hide, simplifying their indexing and retrieval.

The paper aims to describe a new technological and organizational approach in order to manage teleconsultation and telemonitoring processes involving a Physician, who remotely interacts with one or more Specialists, in order to evaluate and discuss the specific clinical conditions of a patient, based primarily on the sharing of digital clinical data, reports and diagnostic images. In the HINT project (Healthcare INtegration in Telemedicine), a teleconsultation and telemonitoring cloud platform has been developed using a Hub and Spoke architecture, based on a Business Process Management System (BPMS). The specialized clinical centres (Hubs) operate in connection with the territorial hospital centres (Spokes), which receive specific diagnostic consultations and telemonitoring data from the appropriate Specialist, supported by advanced AI systems. The developed platform overcomes the concepts of a traditional and fragmented teleconsultation and consequently the static organization of Hubs and Spokes, evolving towards an integrated clinical workflow management. The project platform adopts international healthcare standards, such as HL7 FHIR, IHE (XDS and XDW) and DICOM for the acquisition and management of healthcare data and diagnostic images. A Workflow Management System implemented in the platform allows to manage multiple and contemporaneous processes through a single platform, correctly associating the tasks to the Physicians responsible for their execution, monitoring the status of the health activities and managing possible clinical issues.

The main purpose of this work is to describe the process of design and implementation of a novel e-Learning platform, named Digital Brick, intended to enhance the students’ experience in obtaining formal certifications of their competencies. The research method we followed starts form a deep study of the state of the art that showed us the need to invest more research effort on delivering open and flexible online environments to enable students in finding and passing courses with final formal certifications of learning. To reach this goal, we (i) designed a complete system architecture around a standard (SCORM compliant) learning management system in order the approach should be reusable as much as possible. We (ii) introduced specific modules to separate responsibilities on the definition and issuing of formal certifications using digital badges according to the IMS Open Badges standard. We (iii) exploited blockchain technology to make the sharing of badges among actors more secure, transparent and open. Finally, we (iv) introduced a new recommendation algorithm based on machine learning techniques to give advice to students about study materials and learning paths. We spent a significant part of our effort carrying out both a functional and quantitative validation of our proposal. The obtained results are presented through a laboratory case study that involves all the components of the architecture, and the outcomes are discussed providing numerical performance indicators. In conclusion, the resulting platform introduces digital badges and blockchain as tools to share recognized achievements among earners and issuers, and machine learning algorithms to provide students with recommendations on the learning material, learning objects, courses and learning paths more suitable for their learning styles.

This paper describes a novel approach for teleconsultation and telemonitoring in healthcare domain. Teleconsulting for diagnostic images involves much more than merely transmitting images and information between two points called hub and spoke. It needs to accomplish a lot of tasks, among them: rapid access to radiological reports and second opinions, remote consulting among Physicians, improved patient care, access to complex tools for post processing and computer-aided diagnosis, support for research and training projects, ties between isolated healthcare providers and busier or more experienced providers, 24-h coverage. The HINT project provides a real-time monitoring of the patient's clinical data and alerting in case of emergencies. The application is fully integrated with all IHE compliant RIS and PACS systems. The workflow management system, integrated in the platform, permits to manage a multiplicity of different scenarios in one application, allowing fast prototyping, process changing and reuse of subprocesses.

The diffusion of small low cost sensors has opened new opportunities for the design of real-time monitoring systems in several application fields. Internet of Things (IoT) is a new branch of Information Technology that connects several of these heterogeneous devices through different network protocols to provide large scale interoperability. In this paper we describe how some open source software tools can be integrated to collect, monitor and process streams of data received in real-time by sensor devices. The tools we have employed are the Things-Board platform to collect sensor data and the Spark Streaming framework for cluster computing to perform data analytics. The presented architecture can be exploited in various monitoring scenarios (such as clinical, environmental or energetic processes) to study the trend of some key parameters and also to produce alerts in case of problematic situations. Without loss of generality, we focus on biomedical data about the breath of patients affected by chronic respiratory disease: real-time monitoring of breath parameters enables automatic ventilotherapy and allows also to warn doctors in time in severe cases.

Electronic multimedia publishing is increasingly becoming a major industrial activity, and the design of Web applications and hypermedia applications in general needs to become a well-organized and efficient process. The most important factor in making Web design efficient and effective is the availability of a suitable design model. Considering that no model can be exploited to its maximum potential unless it is supported by a proper set of development tools, we present an execution environment called the JWeb II navigation engine, which is apart of a suite of tools called JWebII. JWeb II is based on the HDM model and supports all the different phases of Web prototyping development.