La metodología de simulación en la enseñanza de los contenidos de parto y atención del recién nacido en enfermería / The simulation technology in teaching contents regarding delivery and newborn care in nursing

Introducción: la simulación clínica provee a los estudiantes de capacidades cognitivas, psicomotrices, afectivas y experiencias de aprendizaje que mejoran el desarrollo de habilidades en la evaluación, pensamiento crítico, análisis y resolución de problemas y la toma de decisiones, otorgando oportunidades similares para todos los estudiantes. Objetivos: incorporar la metodología de simulación clínica para la enseñanza de los contenidos de atención integral del parto y atención inmediata del recién nacido en estudiantes de enfermería. Resultados: mejoraron los contenidos referentes a la identificación de las etapas del parto, las acciones específicas involucradas en su atención, y las acciones específicas presentes en la atención del recién nacido. Los estudiantes evaluaron los aspectos introductorios del escenario y debriefing como extremadamente eficaz o excelente, el 96,9 por ciento se manifestó completamente de acuerdo que recurriría nuevamente a esta metodología, recomendándola a un compañero. Conclusión: la implementación de la metodología de simulación en la enseñanza de los contenidos de atención integral del parto y atención inmediata del recién nacido debe ser un proceso sistemático y riguroso, que incluya los pasos de creación, validación y aplicación de los escenarios, además de la evaluación de su efectividad en el proceso de enseñanza aprendizaje y satisfacción del estudiante(AU)

Introduction: Clinical simulation provides students with cognitive, psychomotor, affective and learning experiences that improve the development of skills in evaluation, critical thinking, analysis and problem solving and decision making, granting similar opportunities for all students. Objectives: To incorporate the clinical simulation methodology with nursing students for the teaching of contents regarding comprehensive and immediate delivery care for the newborn. Results: The contents regarding the identification of the stages of the birth they improved, as wee as the specific actions involved in their attention, and the specific actions present in newborn care. The students evaluated the introductory aspects on setting and debriefing as extremely effective or excellent: 96.9 percent completely agreed that they would apply again this methodology, recommending it to a classmate. Conclusion: The implementation of the simulation methodology in teaching the contents regarding comprehensive delivery and immediate newborn care must be a systematic and rigorous process, which includes the steps of creation, validation and application of the setting, in addition to the evaluation of its effectiveness in the teaching-learning process and student satisfaction(AU)

La metodología de simulación en la enseñanza de los contenidos de parto y atención del recién nacido en enfermería / The simulation technology in teaching contents regarding delivery and newborn care in nursing

Introducción: la simulación clínica provee a los estudiantes de capacidades cognitivas, psicomotrices, afectivas y experiencias de aprendizaje que mejoran el desarrollo de habilidades en la evaluación, pensamiento crítico, análisis y resolución de problemas y la toma de decisiones, otorgando oportunidades similares para todos los estudiantes. Objetivos: incorporar la metodología de simulación clínica para la enseñanza de los contenidos de atención integral del parto y atención inmediata del recién nacido en estudiantes de enfermería. Resultados: mejoraron los contenidos referentes a la identificación de las etapas del parto, las acciones específicas involucradas en su atención, y las acciones específicas presentes en la atención del recién nacido. Los estudiantes evaluaron los aspectos introductorios del escenario y debriefing como extremadamente eficaz o excelente, el 96,9 por ciento se manifestó completamente de acuerdo que recurriría nuevamente a esta metodología, recomendándola a un compañero. Conclusión: la implementación de la metodología de simulación en la enseñanza de los contenidos de atención integral del parto y atención inmediata del recién nacido debe ser un proceso sistemático y riguroso, que incluya los pasos de creación, validación y aplicación de los escenarios, además de la evaluación de su efectividad en el proceso de enseñanza aprendizaje y satisfacción del estudiante(AU)

Introduction: Clinical simulation provides students with cognitive, psychomotor, affective and learning experiences that improve the development of skills in evaluation, critical thinking, analysis and problem solving and decision making, granting similar opportunities for all students. Objectives: To incorporate the clinical simulation methodology with nursing students for the teaching of contents regarding comprehensive and immediate delivery care for the newborn. Results: The contents regarding the identification of the stages of the birth they improved, as wee as the specific actions involved in their attention, and the specific actions present in newborn care. The students evaluated the introductory aspects on setting and debriefing as extremely effective or excellent: 96.9 percent completely agreed that they would apply again this methodology, recommending it to a classmate. Conclusion: The implementation of the simulation methodology in teaching the contents regarding comprehensive delivery and immediate newborn care must be a systematic and rigorous process, which includes the steps of creation, validation and application of the setting, in addition to the evaluation of its effectiveness in the teaching-learning process and student satisfaction(AU)

Multi-Server Approach for High-Throughput Molecular Descriptors Calculation based on Multi-Linear Algebraic Maps.

The present report introduces a novel module of the QuBiLS-MIDAS software for the distributed computation of the 3D Multi-Linear algebraic molecular indices. The main motivation for developing this module is to deal with the computational complexity experienced during the calculation of the descriptors over large datasets. To accomplish this task, a multi-server computing platform named T-arenal was developed, which is suited for institutions with many workstations interconnected through a local network and without resources particularly destined for computation tasks. This new system was deployed in 337 workstations and it was perfectly integrated with the QuBiLS-MIDAS software. To illustrate the usability of the T-arenal platform, performance tests over a dataset comprised of 15 000 compounds are carried out, yielding a 52 and 60 fold reduction in the sequential processing time for the 2-Linear and 3-Linear indices, respectively. Therefore, it can be stated that the T-arenal based distribution of computation tasks constitutes a suitable strategy for performing high-throughput calculations of 3D Multi-Linear descriptors over thousands of chemical structures for posterior QSAR and/or ADME-Tox studies.

QuBiLS-MIDAS: a parallel free-software for molecular descriptors computation based on multilinear algebraic maps.

The present report introduces the QuBiLS-MIDAS software belonging to the ToMoCoMD-CARDD suite for the calculation of three-dimensional molecular descriptors (MDs) based on the two-linear (bilinear), three-linear, and four-linear (multilinear or N-linear) algebraic forms. Thus, it is unique software that computes these tensor-based indices. These descriptors, establish relations for two, three, and four atoms by using several (dis-)similarity metrics or multimetrics, matrix transformations, cutoffs, local calculations and aggregation operators. The theoretical background of these N-linear indices is also presented. The QuBiLS-MIDAS software was developed in the Java programming language and employs the Chemical Development Kit library for the manipulation of the chemical structures and the calculation of the atomic properties. This software is composed by a desktop user-friendly interface and an Abstract Programming Interface library. The former was created to simplify the configuration of the different options of the MDs, whereas the library was designed to allow its easy integration to other software for chemoinformatics applications. This program provides functionalities for data cleaning tasks and for batch processing of the molecular indices. In addition, it offers parallel calculation of the MDs through the use of all available processors in current computers. The studies of complexity of the main algorithms demonstrate that these were efficiently implemented with respect to their trivial implementation. Lastly, the performance tests reveal that this software has a suitable behavior when the amount of processors is increased. Therefore, the QuBiLS-MIDAS software constitutes a useful application for the computation of the molecular indices based on N-linear algebraic maps and it can be used freely to perform chemoinformatics studies.

Quantitative study of the structure-retention index relationship in the imine family.

The Kováts retention index is one of the most popular descriptors of the performance of organic compounds in gas chromatography (GC). The mathematical modeling of this index is an interesting and open problem in analytical chemistry. In this paper, two models for the prediction of the Kováts retention index are presented. Topologic, topographic and quantum-chemical descriptors were used as structural descriptors. Multiple linear regression (MLR) analysis provides the first model using the forward stepwise procedure for the variable selection. For the second one, an ensemble of artificial neural network (ANN) was constructed using the pruning algorithm. Both methods were validated by an external set of compounds, by the Golbraikh and Tropsha method and by the leave-one-out (LOO) and the leave many out (LMO) procedures. The R2, RMScv and Q2, values for the training sets were 0.884, 0.589 and 0.830 for NN and 0.974, 0.417 and 0.970 for MLR models, respectively. The robustness of both models was demonstrated. Both portrait the chromatographic performance of the sample but in this case, the results of MLR equation are better than the NN ones. The MLR model is recommended because of its simplicity.