Continuous and Secure Integration Framework for Smart Contracts.

As part of agile methodologies seen in the past few years, IT organizations have continuously adopted new practices in their software delivery life-cycle to improve both efficiency and effectiveness of development teams. Two of these practices are continuous integration and continuous deployment, which are part of the DevOps cycle which has helped organizations build software effectively and efficiently. These practices must be considered for new technologies such as smart contracts, where security concerns and bugs might cost more once deployed than traditional software. This paper states the importance of using a proper DevOps routine and how it is possible to apply this practice to a smart contract build. Specifically, this paper introduces a framework to implement DevOps for smart contracts development by describing multiple DevOps tools and their applicability to smart contract development.

Applications Based on Service-Oriented Architecture (SOA) in the Field of Home Healthcare.

This article makes a literature review of applications developed in the health industry which are focused on patient care from home and implement a service-oriented (SOA) design in architecture. Throughout this work, the applicability of the concept of Internet of Things (IoT) in the field of telemedicine and health care in general is evaluated. It also performs an introduction to the concept of SOA and its main features, making a small emphasis on safety aspects. As a central theme, the description of different solutions that can be found in the health industry is developed, especially those whose goal is health care at home; the main component of these solutions are body sensor networks. Finally, an analysis of the literature from the perspectives of functionalities, security implementation and semantic interoperability is made to have a better understanding of what has been done and which are probable research paths to be studied in the future.

Design of a micro-learning framework and mobile application using design-based research.

Traditional learning techniques have evolved slowly and have yet to adapt the course content delivery to today's students' approaches to acquiring new knowledge. However, micro-learning has become popular in e-Learning environments as a course design technique due to short attention spans, demand for small chunks of information, and time constraints. Hence, it has been selected for creating reading mobile applications provided to the nature of its learning approach. In order to describe the multiple iterations of design, development, and evaluation of this general framework, a methodology named Design-Based Research (DBR) is implemented. First, the article presents the abstract framework components and a cloud-based software architecture that allows a modular approach to creating such applications. The pathway developed through adapting the iPAC framework, which involves personalization, authenticity, and collaboration, is part of the methodology used to design the app under pedagogical and technological considerations. The process demanded the following phases: analysis and exploration, design and construction, evaluation and reflection, redesign and reconstruction, and final critical reflections. Four applied instruments also validate the framework implementation: The iPAC Rubric, an aphorisms checklist, a pre and post-test, a focus group, and a usability test taken by 28 students in a private university in Colombia. Findings indicated that Design-Based Research (DBR) methodology emerged as an appropriate tool to encounter the needs behind reading applications design due to its sequence of operations yields results successively closer to adequate usability standards and smooth implementation. They also reveal the positive impact of new types of texts on students' motivation and awareness toward other reading strategies and micro-learning. This impact indeed proved the proposed framework's effectiveness for designing micro-learning applications.

Development of a nasogastric tube insertion simulator: a collaborative interdisciplinary effort.

The nursing faculty shortage has created the need for more innovative and effective ways to better stimulate nursing students. Simulation technology is one way to increase the effectiveness of teaching faculty. In this article, a collaborative project between the College of Nursing and College of Engineering at the University of South Florida to develop and evaluate a PC-based software simulator based on videogame technologies for nursing skill acquisition is discussed. A software simulator for teaching and assessing mastery of the procedure for nasogastric tube insertion is described. The purpose of the simulator is to complement the standard training of nasogastric tube insertion that uses static mannequins and instruction/assessment by nursing instructors. The simulator was used in a fundamentals of nursing class at the University of South Florida, with 75 students enrolled. Evaluation showed that the simulator significantly increased the confidence of the students in their ability to perform nasogastric tube insertion.

Novel Data Mining Methodology for Healthcare Applied to a New Model to Diagnose Metabolic Syndrome without a Blood Test.

Metabolic Syndrome (MetS) is a cluster of risk factors that increase the likelihood of heart disease and diabetes mellitus. It is crucial to get diagnosed with time to take preventive measures, especially for patients in locations without proper access to laboratories and medical consultations. This work presented a new methodology to diagnose diseases using data mining that documents all the phases thoroughly for further improvement of the resulting models. We used the methodology to create a new model to diagnose the syndrome without using biochemical variables. We compared similar classification models, using their reported variables and previously obtained data from a study in Colombia. We built a new model and compared it to previous models using the holdout, and random subsampling validation methods to get performance evaluation indicators between the models. Our resulting ANN model used three hidden layers and only Hip Circumference, dichotomous Waist Circumference, and dichotomous blood pressure variables. It gave an Area Under Curve (AUC) of 87.75% by the IDF and 85.12% by HMS MetS diagnosis criteria, higher than previous models. Thanks to our new methodology, diagnosis models can be thoroughly documented for appropriate future comparisons, thus benefiting the diagnosis of the studied diseases.

Distrofia muscular progresiva / Progressive muscular dystrophy

La distrofia muscular pseudohipertrófica tipo Duchenne, llamada tambien distrofia muscular progresiva infantil es una miopatía que aparece en la primera década de la vida de tipo progresivo y caracterizada por debilidad de diferentes grupos musculares. Se reporta un caso de distrofia muscular pseudohipertrófica presentado en el Hospital clínico Viedma de la ciudad de Cochabamba.