Main findings and advances in bioinformatics and biomedical engineeringIWBBIO 2018

We want to thank the great work done by the reviewers of each of the papers, together with the great interest shown by the editorial of BMC Bioinformatics in IWBBIO Conference. Special thanks to D. Omar El Bakry for his interest and great help to make this Special Issue. Thank the Ministry of Spain for the economic resources within the project with reference RTI2018-101674-B-I00.In the current supplement, we are proud to present seventeen relevant contributions from the 6th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2018), which was held during April 25-27, 2018 in Granada (Spain). These contributions have been chosen because of their quality and the importance of their findings.This research has been partially supported by the proyects with reference RTI2018-101674-B-I00 (Ministry of Spain) and B-TIC-414-UGR18 (FEDER, Junta Andalucia and UGR)

Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm

This work was funded by the Spanish Ministry of Sciences, Innovation and Universities under Project RTI-2018-101674-B-I00 and the projects from Junta de Andalucia B-TIC-414, A-TIC-530-UGR20 and P20-00163.In this contribution, a novel methodology for multi-class classification in the field of Parkinson’s disease is proposed. The methodology is structured in two phases. In a first phase, the most relevant volumes of interest (VOI) of the brain are selected by means of an evolutionary multi-objective optimization (MOE) algorithm. Each of these VOIs are subjected to volumetric feature extraction using the Three-Dimensional Discrete Wavelet Transform (3D-DWT). When applying 3D-DWT, a high number of coefficients is obtained, requiring the use of feature selection/reduction algorithms to find the most relevant features. The method used in this contribution is based on Mutual Redundancy (MI) and Minimum Maximum Relevance (mRMR) and PCA. To optimize the VOI selection, a first group of 550 MRI was used for the 5 classes: PD, SWEDD, Prodromal, GeneCohort and Normal. Once the Pareto Front of the solutions is obtained (with varying degrees of complexity, reflected in the number of selected VOIs), these solutions are tested in a second phase. In order to analyze the SVM classifier accuracy, a test set of 367 MRI was used. The methodology obtains relevant results in multi-class classification, presenting several solutions with different levels of complexity and precision (Pareto Front solutions), reaching a result of 97% as the highest precision in the test data.Spanish Government RTI-2018-101674-B-I00Junta de Andalucia B-TIC-414 A-TIC-530-UGR20 P20-0016

Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches

This work has been partially supported by the Project PID2021-128317OB-I0, funded by the MCIN/AEI/ 10.13039/501100011033 and ‘‘ERDF A way of making Europe". Funding for open access charge: Universidad de Granada / CBUA. All authors approved the final version of manuscript to be published.Cancer disease is one of the most important pathologies in the world, as it causes the death of millions of people, and the cure of this disease is limited in most cases. Rapid spread is one of the most important features of this disease, so many efforts are focused on its early-stage detection and localization. Medicine has made numerous advances in the recent decades with the help of artificial intelligence (AI), reducing costs and saving time. In this paper, deep learning models (DL) are used to present a novel method for detecting and localizing cancerous zones in WSI images, using tissue patch overlay to improve performance results. A novel overlapping methodology is proposed and discussed, together with different alternatives to evaluate the labels of the patches overlapping in the same zone to improve detection performance. The goal is to strengthen the labeling of different areas of an image with multiple overlapping patch testing. The results show that the proposed method improves the traditional framework and provides a different approach to cancer detection. The proposed method, based on applying 3x3 step 2 average pooling filters on overlapping patch labels, provides a better result with a 12.9% correction percentage for misclassified patches on the HUP dataset and 15.8% on the CINIJ dataset. In addition, a filter is implemented to correct isolated patches that were also misclassified. Finally, a CNN decision threshold study is performed to analyze the impact of the threshold value on the accuracy of the model. The alteration of the threshold decision along with the filter for isolated patches and the proposed method for overlapping patches, corrects about 20% of the patches that are mislabeled in the traditional method. As a whole, the proposed method achieves an accuracy rate of 94.6%.MCIN/AEI/ 10.13039/501100011033/ PID2021-128317OB-I0ERDF A way of making EuropeUniversidad de Granada / CBU

Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

In more recent years, a significant increase in the number of available biological experiments has taken place due to the widespread use of massive sequencing data. Furthermore, the continuous developments in the machine learning and in the high performance computing areas, are allowing a faster and more efficient analysis and processing of this type of data. However, biological information about a certain disease is normally widespread due to the use of different sequencing technologies and different manufacturers, in different experiments along the years around the world. Thus, nowadays it is of paramount importance to attain a correct integration of biologically-related data in order to achieve genuine benefits from them. For this purpose, this work presents an integration of multiple Microarray and RNA-seq platforms, which has led to the design of a multiclass study by collecting samples from the main four types of leukemia, quantified at gene expression. Subsequently, in order to find a set of differentially expressed genes with the highest discernment capability among different types of leukemia, an innovative parameter referred to as coverage is presented here. This parameter allows assessing the number of different pathologies that a certain gen is able to discern. It has been evaluated together with other widely known parameters under assessment of an ANOVA statistical test which corroborated its filtering power when the identified genes are subjected to a machine learning process at multiclass level. The optimal tuning of gene extraction evaluated parameters by means of this statistical test led to the selection of 42 highly relevant expressed genes. By the use of minimum- Redundancy Maximum-Relevance (mRMR) feature selection algorithm, these genes were reordered and assessed under the operation of four different classification techniques. Outstanding results were achieved by taking exclusively the first ten genes of the ranking into consideration. Finally, specific literature was consulted on this last subset of genes, revealing the occurrence of practically all of them with biological processes related to leukemia. At sight of these results, this study underlines the relevance of considering a new parameter which facilitates the identification of highly valid expressed genes for simultaneously discerning multiple types of leukemia.This work was supported by Project TIN2015-71873-R (Spanish Ministry of Economy and Competitiveness -MINECO- and the European Regional Development Fund -ERDF) and Junta de Andalucı´a (P12–TIC–2082)

Obesity prevention program through the use of a mobile application. intervention protocol

La obesidad infantil se está convirtiendo en un problema grave de salud, por lo que es necesario el diseño de programas escolares que den solución a esta situación. Así, el objetivo de este trabajo es diseñar una intervención preventiva de la obesidad infantil en escolares de primaria, centrada en la educación nutricional y el aumento de la actividad física (AF), a través del uso de las nuevas tecnologías como elemento motivador. La muestra está formada por 80 estudiantes del tercer ciclo de Educación Primaria, 38 chicos y 42 chicas de edades comprendidas entre 10 y 13 años. Para el desarrollo del programa de fomento de la AF y de la alimentación saludable, los participantes se dividen en dos grupos que llevan a cabo el mismo programa, pero un grupo además utiliza la aplicación móvil (app) «Class Dojo» como refuerzo del mismo. De esta forma esperamos mejorar el conocimiento sobre alimentación saludable y el nivel de AF de los escolares y que esto en el futuro pueda tener un impacto significativo sobre su índice de masa corporal (IMC). Palabras clave: Intervención, obesidad infantil, alimentación, actividad física, nuevas tecnologías, educación primaria.Childhood obesity is becoming a serious health problem, so it is necessary to design school programs that provide a solution to this situation. Therefore, the objective of this work is to design a preventive intervention for childhood obesity in primary school children, focused on nutritional education and increased physical activity (PA), using new technologies as a motivating element. The sample is made up of 80 students from the third cycle of Primary Education, 38 boys and 42 girls between the ages of 10 and 13. For the development of the program to promote PA and healthy eating, the participants are divided into two groups that carry out the same program, but one group also uses the "Class Dojo" mobile app (app) to reinforce it. Consequently, we hope to improve the nutrition knowledge and the PA level of schoolchildren and that this in the future can have a significant impact on their body mass index (BMI)

Influencia del desarrollo urbano sobre el legado sostenible de los eventos deportivos internacionales

The purpose of this study is to identify the effects of the urban development legacy on the sustainable legacy (economic, sociocultural, environmental and sports) of international sports events. 292 surveys were applied to the direct stakeholders of the sporting events in Santiago de Cali- Colombia, using a questionnaire structured in five constructs and 28 items. Goodness of fit, composite reliability, discriminant validity and the proposed structural model were examined using the partial least squares (PLS-SEM) path modeling method in ADANCO software. The results indicate that the legacy of urban development has a significant influence on the economic (p=<.001), sociocultural (p=<.001), environmental (p=<.001) and sports (p=<.001) legacies. This article contributes to the existing literature providing knowledge from a quantitative approach on the factors that influence the sustainable legacy of international sports events.Este estudio tiene como propósito identificar los efectos del legado de desarrollo urbano sobre el lega-do sostenible (económico, sociocultural, ambiental y deportivo) de los eventos deportivos internacionales. Se aplicaron 292 encuestas a los stakeholders directos de los eventos deportivos en Santiago de Cali- Colombia, utilizando un cuestionario estructurado en cinco constructos y 28 ítems. Se examinó la bondad de ajuste, la fiabilidad compuesta, la validez discriminante y el modelo estructural propuesto utilizando el método de modelado de ruta de mínimos cuadrados parciales (PLS-SEM) en el software ADANCO. Los resultados indican que el legado de desarrollo urbano tiene una influencia significativa sobre los legados económico (p=<.001), sociocultural (p=<.001), ambiental (p=<.001) y deportivo (p=<.001). Este artículo contribuye a la literatura existente proporcionado conocimiento desde un enfoque cuantitativo sobre los factores que influyen en el legado sostenible de los eventos deportivos internacionales.Actividad Física y Deport

Sonidos de la América indígena: diseño museográfico y docente de la colección Complutense del Museo de Arqueología y Etnología de América (MAEA, Facultad de Geografía e Historia) referida a la música

Depto. de Historia de América y Medieval y Ciencias HistoriográficasFac. de Geografía e HistoriaFALSEsubmitte

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

Consenso colombiano de enfermedad inflamatoria intestinal

La Enfermedad inflamatoria intestinal (EEI) es un término con el que se conocen varias entidades, las dos más importantes: la colitis ulcerativa idiopática (CUI) y la enfermedad de Crohn (EC), cuyo origen es multifactorial y se caracterizan por un fenómeno inflamatorio, crónico, recurrente, con diferentes grados de severidad del tubo digestivo; pero, además con afectación potencial de otros órganos. En la última década ha habido un renovado interés en dichas entidades, debido a un auge en medicamentos novedosos; a pesar de lo cual estas siguen siendo incurables. Lo anterior asociado a una incidencia creciente de dicha patología en nuestro país nos obliga tanto científica como moralmente a convocar a un panel de expertos para elaborar unos lineamientos básicos en el enfoque y manejo de la EEI. OBJETIVOS 1. Desarrollar un consenso adaptado a nuestro medio, basado en documentación científica de la mejor calidad disponible para el enfoque diagnóstico y el manejo médico y quirúrgico. 2. Publicar y difundir dichos lineamentos tanto a la comunidad científica como al público en general a través de foros especializados, y medios de comunicación de alta penetración. 3. Elaborar y divulgar el consenso en forma de suplemento de la Revista Colombiana de Gastroenterología, el 8 de diciembre de 2011, en medio del congreso de ACADI (Asociación Colombiana de Asociaciones del Aparato Digestivo); es el mejor homenaje que el panel multidisciplinario de expertos le puede rendir a dicho evento; pero más importante aún es el reconocimiento que se le hace a los pacientes que padecen de dicha patología en nuestro país, quienes en últimas son nuestra razón de ser. METODOLOGÍA 1. Se invitaron médicos especialistas (Clínicos y quirúrgicos), líderes de opinión e industria farmacéutica nacional, cuyo área de interés y de trabajo es la EEI. 2. Se separó y manejó independientemente desde el principio la CUI de la EC. A su vez, se dividió cada entidad por módulos, con base en el método de panel de Delphi, se nombró un coordinador por cada uno de ellos, el cual se encargó de analizar junto con su equipo la literatura, para extraer el nivel de evidencia clínica y así emitir unos conceptos preliminares. Posteriormente, todo el panel de expertos se reunió en varias jornadas y conjuntamente se revisó nuevamente la evidencia clínica y conclusiones de los diferentes módulos homogenizándolas y de una manera concertada se formularon las recomendaciones definitivas.Q4https://orcid.org/0000-0002-9219-4548Revista Nacional - Indexad