Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

The goal of this work is to describe the advantages of the application of Conceptual Modeling (CM) in complex domains, such as genomics. Nowadays, the study and comprehension of the human genome is a major challenge due to its high level of complexity. The constant evolution in the genomic domain contributes to the generation of ever larger amounts of new data, which means that if we do not manage it correctly data quality could be compromised (i.e., problems related with heterogeneity and inconsistent data). In this paper, we propose the use of a Conceptual Schema of the Human Genome (CSHG), designed to understand and improve our ontological commitment to the domain and also extend (enrich) this schema with the integration of a novel concept: Haplotypes. Our focus is on improving the understanding of the relationship between genotype and phenotype, since new findings show that this question is more complex than was originally thought. Here we present the first steps in our data management approach with haplotypes (variations, frequencies and populations) and discuss the database evolution to support this data. Each new version in our conceptual schema (CS) introduces changes to the underlying database structure that has essential and practical implications for better understanding and managing the relevant information. A solution based on conceptual models gives a clear definition of the domain with direct implications in the medical field (Precision Medicine), in which Genomic Information Systems (GeIS) play a very important role.

The defect prediction models can be a good tool on organizing the project´s test resources. The models can be constructed with two main goals: 1) to classify the software parts - defective or not; or 2) to rank the most defective parts in a decreasing order. However, not all companies maintain an appropriate set of historical defect data. In this case, a company can build an appropriate dataset from known external projects - called Cross-project Defect Prediction (CPDP).The CPDP models, however, present low prediction performances due to the heterogeneity of data. Recently, Instance Filtering methods were proposed in order to reduce this heterogeneity by selecting the most similar instances from the training dataset. Originally, the similarity is calculated based on all the available dataset features (or independent variables).We propose that using only the most relevant features on the similarity calculation can result in more accurate filtered datasets and better prediction performances. In this study we extend our previous work. We analyse both prediction goals - Classification and Ranking. We present an empirical evaluation of 41 different methods by associating Instance Filtering methods with Feature Selection methods. We used 36 versions of 11 open source projects on experiments.The results show similar evidences for both prediction goals. First, the defect prediction performance of CPDP models can be improved by associating Feature Selection and Instance Filtering. Second, no evaluated method presented general better performances. Indeed, the most appropriate method can vary according to the characteristics of the project being predicted.

Melanoma is a type of skin cancer and is caused by the uncontrolled growth of atypical melanocytes. In recent decades, computer aided diagnosis is used to support medical professionals; however, there is still no globally accepted tool. In this context, similar to state-of-the-art we propose a system that receives a dermatoscopy image and provides a diagnostic if the lesion is benign or malignant. This tool is composed with next modules: Preprocessing, Segmentation, Feature Extraction, and Classification. Preprocessing involves the removal of hairs. Segmentation is to isolate the lesion. Feature extraction is considering the ABCD dermoscopy rule. The classification is performed by the Support Vector Machine. Experimental evidence indicates that the proposal has 90.63 % accuracy, 95 % sensitivity, and 83.33 % specificity on a data-set of 104 dermatoscopy images. These results are favorable considering the performance of diagnosis by traditional progress in the area of dermatology.

Public agencies are increasingly required to collaborate with each other in order to provide high-quality e-government services. This collaboration is usually based on the service-oriented approach and supported by interoperability platforms. Such platforms are specialized middleware-based infrastructures enabling the provision, discovery and invocation of interoperable software services. In turn, given that personal data handled by governments are often very sensitive, most governments have developed some sort of legislation focusing on data protection. This paper proposes solutions for monitoring and enforcing data protection laws within an E-government Interoperability Platform. In particular, the proposal addresses requirements posed by the Uruguayan Data Protection Law and the Uruguayan E-government Platform, although it can also be applied in similar scenarios. The solutions are based on well-known integration mechanisms (e.g. Enterprise Service Bus) as well as recognized security standards (e.g. eXtensible Access Control Markup Language) and were completely prototyped leveraging the SwitchYard ESB product.

In this paper we use concepts from graph theory and cellular biology represented as ontologies, to carry out semantic mining tasks on signaling pathway networks. Specifically, the paper describes the semantic enrichment of signaling pathway networks. A cell signaling network describes the basic cellular activities and their interactions. The main contribution of this paper is in the signaling pathway research area, it proposes a new technique to analyze and understand how changes in these networks may affect the transmission and flow of information, which produce diseases such as cancer and diabetes. Our approach is based on three concepts from graph theory (modularity, clustering and centrality) frequently used on social networks analysis. Our approach consists into two phases: the first uses the graph theory concepts to determine the cellular groups in the network, which we will call them communities; the second uses ontologies for the semantic enrichment of the cellular communities. The measures used from the graph theory allow us to determine the set of cells that are close (for example, in a disease), and the main cells in each community. We analyze our approach in two cases: TGF-ß and the Alzheimer Disease.

Model-Driven Web Engineering (MDWE) approaches aim to improve the Web applications development process by focusing on modeling instead of coding, and deriving the running application by transformations from conceptual models to code. The emergence of the Interaction Flow Modeling Language (IFML) has been an important milestone in the evolution of Web modeling languages, indicating not only the maturity of the field but also a final convergence of languages. In this paper we explain the evolution of modeling and design approaches since the early years (in the 90’s) detailing the forces which drove that evolution and discussing the strengths and weaknesses of some of those approaches. A brief presentation of the IFML is accompanied with a thorough analysis of the most important achievements of the MDWE community as well as the problems and obstacles that hinder the dissemination of model-driven techniques in the Web engineering field.

The process of building Data Warehouses (DW) is well known with well defined stages but at the same time, mostly carried out manually by IT people in conjunction with business people. Web Warehouses (WW) are DW whose data sources are taken from the web. We define a flexible WW, which can be configured accordingly to different domains, through the selection of the web sources and the definition of data processing characteristics. A Business Process Management (BPM) System allows modeling and executing Business Processes (BPs) providing support for the automation of processes. To support the process of building flexible WW we propose a two BPs level: a configuration process to support the selection of web sources and the definition of schemas and mappings, and a feeding process which takes the defined configuration and loads the data into the WW. In this paper we present a proof of concept of both processes, with focus on the configuration process and the defined data.

This article identifies the challenges lived in an attempt to a disciplinary integration in the subjects dedicated to teaching practice of a Bachelor of Arts in Education. This B.A. program declares an interdisciplinary curriculum. Through a model of mixed action research, supported on the theory of curriculum evaluation (Palos, 2000; Posner, 2004; Martinello y Cook, 2000), the diagnosis reveals a lack of articulation between theory and practice; a break- up between what is declared in the official curriculum towards the interdisciplinary relationships between fields of training and what happens in practice. That is, a disconnection on the horizons of training in teaching practices and problems in its direction and guidance. The research process allows, on the one hand, assessing information about how teachers, students and administrative assume interdisciplinarity in the process of teacher education. On the other hand, the process permitted to provide some guidelines aimed at encouraging interdisciplinary relationships among fields of training as a result. Those guidelines attempt to give coherence and validity to the problematic nucleus. Findings suggest that curriculum interventions based on the implementation of those guidelines provide a framework for more active participation of teachers and students to self-assessment and solution of specific problems.

This research paper focuses on the following question: based on the reading of disciplinary texts, what pragma-linguistic procedures could support the construction of a didactic proposal about the line of thinking production in biological sciences? We opted for action-research method from the perspective of Elliott (1993, 2000), and we rely primarily on the theoretical assumptions of Stephen Toulmin (1977, 2003, 2007) and Anthony Weston (2005), on what is referred to argumentation, as in the postulates of the maternal language teaching (Camps, 1995, 2004; Alvarez, 2005 and 2010, Camargo and Uribe, 2007), the textual linguistics (Bernardez, 1982 and 1994; De Beaugrande and Dressler, 1997) and the Adam´s argumentative prototypical sequence (1985, 1992, 1995). Validated by discussion groups of teachers of the field for two semesters, five strategic fronts appeared as a direct result of the project: 1. The configuration of the dispositio: argue from the structure; 2. Recognition of the source: argue from authority; 3. The resource of the definition: argue from the versatility; 4. The use of analogy: argue from proximity; 5. The value of the discussion: argue from distance.

Few studies have explored the foreign language learning processes of indigenous students in Colombia. In this article, we present preliminary findings of a research project which aims to explore the challenges that indigenous students face when learning languages in a public university. Based on the theory of social representations, we focus in this text on the representations that participant students have regarding their mother tongue as well as the languages they study, English and French. We carried out a qualitative case-study in which eight students from different ancestral communities participated. Data gathered from individual and collective interviews, class observations and focus groups allowed us to uncover the linguistic repertoires of participants as well as the representations they have of their mother tongue and foreign languages. Findings show that teachers play an important role in the construction of representations and that these evolve throughout the learning process.