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

Background: Bacteremia due to Burkolderia cepacia in children is considered a severe complication and associated with high mortality incidence. In order to know the level of mortality associated with it, this systematic review of the literature was carried out.Methods: A search strategy was carried out with the keywords: “bacteremia by B cepacia and human” and “children” and “adolescents” as filters. Global frequency of mortality reported by the included studies was calculated and informed as median (Q2) and its interquartile values (Q1 and Q3).Results: The search identified 92 potentially useful studies. Of these, 81 were discarded, and then remained 11 studies to be included. One out of 11 studies is an analytic case-control design. Rest are retrospective case series. Related mortality median was 0 (Q25=0 y Q75=28,57%).Conclusion: Although the available evidence is scarce and of low quality, it suggests that clinical course of this condition does not always lead to high mortality rates.

Myocardial tuberculosis is a rare location that is generally characterized by silent clinical pictures. Diagnosis is based on high clinical suspicion and some nonspecific findings on cardiac imaging, but histological findings remain the gold standard. Treatment with standard antitubercular drugs have been successful, presenting radiological and clinical improvement in most cases. We report a case of myocardial infection by Mycobacterium tuberculosis in a 34-year-old man, who presented with several weeks of dyspnea and evidence of right pleural effusion and severe pericardial effusion, without signs of cardiac tamponade. PCR for M. tuberculosis was positive in pleural fluid. The histologic study of pericardium and myocardium showed myocardial fibers with non-necrotizing granulomatous inflammation with multinucleated giant cells. Due to all the above, a diagnosis of pleural and myocardial tuberculosis was made, and tuberculosis treatment was started with significant clinical improvement.

In quantitative electroencephalography, it is of vital importance to eliminate non-neural components, as these can lead to an erroneous analysis of the acquired signals, limiting their use in diagnosis and other clinical applications. In light of this drawback, preprocessing pipelines based on the joint use of the Wavelet Transform and the Independent Component Analysis technique (wICA) were proposed in the 2000s. Recently, with the advent of data-driven methods, deep learning models were developed for the automatic labeling of independent components, which constitutes an opportunity for the optimization of ICA-based techniques. In this paper, ICLabel, one of these deep learning models, was added to the wICA methodology in order to explore its improvement. To assess the usefulness of this approach, it was compared to different pipelines which feature the use of wICA and ICLabel independently and a lack thereof. The impact of each pipeline was measured by its capacity to highlight known statistical differences between asymptomatic carriers of the PSEN-1 E280A mutation and a healthy control group. Specifically, the between-group effect size and the P-values were calculated to compare the pipelines. The results show that using ICLabel for artifact removal can improve the effect size (ES) and that, by leveraging it with wICA, an artifact smoothing approach that is less prone to the loss of neural information can be built.

This research work proposes a macro-model that allows detecting different probable crimes or anomalies related to corruption in public procurement processes in Colombia. To this effect, the proposed model consists of five main components: 1) specialized services that seek to identify specific situations of probable corruption (three services were proposed: the detection of similarity between documents, the detection of offer manipulation, and the detection of cartels); 2) transversal services that support the transformation of the model into a software tool; 3) additional services where general situations of probable corruption are addressed, specifically the citizen alert service; 4) the explicit relationships between services; and 5) the global output of the model. In the practical experimentation stage, two of the services proposed in this research were put to the test in various scenarios. With the results obtained by some of the classical metrics of the area, the quality of the prediction obtained by the services was determined.

The objective of this work was to develop a method by ion chromatography with conductivity detector for the simultaneous determination of thiocyanate in mining wastewater and anions such as bromide, chloride, fluoride, phosphate, nitrite, nitrate and sulfate. Potassium hydroxide (KOH) was used as an eluent in a range of concentrations between , flows between  and suppressor current between . It was determined that the best separation of the species was achieved with a KOH concentration of  in isocratic mode and a flow of  in an AS20 analytical column. In addition, a series of analytical parameters such as sensitivity, linearity, precision, accuracy and limits of detection and quantification were determined that allow the validation of the analytical method. Relative standard deviation (RSD) values of less than 20 % were obtained in terms of the accuracy of the analytical method, with recoveries greater than 96 %. The method developed is therefore suitable for the determination of thiocyanate and anions in wastewater of mining origin.

In software development, documentation is a continuous process that specifies what the system does, how it does it, and for whom it does it, describing all its characteristics from different perspectives in order to facilitate the understanding of all the interested parties. However, this is not always achieved due to poor documentation practices, leading to a type of technical debt known as documentation debt, which is related to missing, inconsistent, or incomplete documentation that degrades the understanding of the system, severely affecting its development, maintenance, and evolution. This phenomenon seems to be aggravated in agile approaches, either due to a misunderstanding of agile values ​​and principles by focusing on the continuous delivery of functional software rather than comprehensive documentation, or a lack of good documentation practices. Although there are initiatives that generally describe the causes, effects, and good practices to mitigate documentation debt, it is still necessary to understand the impact of this type of debt on the software industry and to delve into a more complete definition in agile software development. In this sense, the results of a systematic mapping are presented, which provide a solid base of knowledge about documentation debt in agile software development and allow identifying gaps or research opportunities in this topic.

The experience of three technology-based innovation processes is presented, applying design techniques and participatory development of technologies, co-creation techniques and agility. The analysis of the three processes accounts for the role that social researchers can play in the scaling and social articulation of the products obtained. And the role that obstacles play in development processes. It highlights the potentialities that Participatory Technology Design methodologies have in the creation of user communities, experimentation in methods with co-creation techniques and how limited agile methodologies are in some cases to create social articulations, which it reduces the possibility of success once the development process is finished.

This paper presents a review of the main studies that address the identification of faults during the learning of use case diagrams (DCU) and class diagrams (DC) in the last 10 years. This work is the beginning of a research project related to the detection of faults in UML diagrams. This paper presents an analysis of the state of the art regarding the typification of faults in  DCU and DC, with the objective of identifying opportunities and research gaps. 20 documents were found according to the inclusion and exclusion criteria established through the methodology employed for the systematic review of the literature. Considering the relevance of the topic, it can be observed that there is limited research on fault detection in UML diagrams for both DCU and DC.

Fasciolosis is a worldwide disease caused by the trematode Fasciola hepatica, which affects cattle, sheep, goats, and sometimes humans, causing significant economic and production losses. The objective of this study was to determine the seroprevalence of F. hepatica in sheep from Boavita, Boyacá, Colombia. An observational, descriptive cross-sectional study was carried out with simple random sampling, where the sample size was 297 sheep. The sera were processed with the commercial ELISA BIO K 211-Monoscreen AbELISA F. hepatica kit, following the manufacturer's instructions. The analysis of the results was carried out with the statistical program Epi Info®. A general seroprevalence of 67.34% was determined, where males, sheep older than 3 years, and Creole sheep presented the highest seroprevalence, with 77.78, 83.33, and 64.79%, respectively. A significant statistical association was established between seropositivity to F. hepatica and sheep aged 1 to 3 and individuals older than 3 years. This age group was established as a risk factor for the manifestation of fasciolosis, whereas sheep between 1 to 3 years old were considered as a protective factor. Management variables such as extensive and stake grazing also showed statistical significance, the latter being a protective factor for parasitosis. Our findings show the spread of F. hepatica infections in sheep and confirm the importance of serological methods for the diagnosis of the disease.