Machine Learning Based Microbiome Signature to Predict Inflammatory Bowel Disease Subtypes

Crohn's disease; Microbiome; Ulcerative colitisEnfermedad de Crohn; Microbioma; Colitis ulcerosaMalaltia de Crohn; Microbioma; Colitis ulcerosaInflammatory bowel disease (IBD) is a chronic disease with unknown pathophysiological mechanisms. There is evidence of the role of microorganims in this disease development. Thanks to the open access to multiple omics data, it is possible to develop predictive models that are able to prognosticate the course and development of the disease. The interpretability of these models, and the study of the variables used, allows the identification of biological aspects of great importance in the development of the disease. In this work we generated a metagenomic signature with predictive capacity to identify IBD from fecal samples. Different Machine Learning models were trained, obtaining high performance measures. The predictive capacity of the identified signature was validated in two external cohorts. More precisely a cohort containing samples from patients suffering Ulcerative Colitis and another from patients suffering Crohn's Disease, the two major subtypes of IBD. The results obtained in this validation (AUC 0.74 and AUC = 0.76, respectively) show that our signature presents a generalization capacity in both subtypes. The study of the variables within the model, and a correlation study based on text mining, identified different genera that play an important and common role in the development of these two subtypes.CF-L's work was supported by the Collaborative Project in Genomic Data Integration (CICLOGEN) PI17/01826 funded by the Carlos III Health Institute from the Spanish National plan for Scientific and Technical Research and Innovation 2013-2016 and the European Regional Development Funds (FEDER)–A way to build Europe. JS's work was funded by the Ramón y Cajal grant (RYC2019-026576-I) funded by Ministry of Science and Innovation of the Spanish government. GL-C's work was supported by a grant from the Biotechnology and Biological Sciences Research Council (BBSRC grant BB/S006281/1) and open access publication fees were supported by Queen's University of Belfast UKRI block grant

Identificación de la raza 1 de la bacteria Pseudomonas solanacearum E.F. Sm. del tabaco (Nicotiana tabacum L.)

Se presentan los resultados de patogenicidad, purificación de la bacteria, pruebas físico-químicas e identificación por medio de los hospedantes diferenciales. Se colectó material con síntomas de dormidera (Pseudomonas solanacearum) en diferentes cultivos de tabaco de Girón (Santander), Espinal, Guamo y San Luis (Tolima). Se efectuaron aislamientos de trozos de tallo afectados utilizando papa-dextrosa-agar (PDA) y cloruro de tetrazolio (TZC) como medios de cultivo. Una vez purificada la bacteria, se efectuaron pruebas físico-químicas con este cultivo y con cultivos tipo de las razas 2 y 3. Por último se inocularon plantas de tabaco, plátano y tomate, con el cultivo purificado y las razas 2 y 3. Se comprobó que el aislamiento efectuado a partir de muestras de tabaco enfermo procedentes de Girón, correspondía a la raza 1 de la bacteria. De las muestras procedentes del Departamento del Tolima no se aisló organismo bacterial alguno sino colonias fungosas pertenecientes al género FusariumTabaco-Nicotiana tabacum L

SafeWalks: aplicación móvil de supervisión de pacientes de Alzheimer

El principal objetivo de Internet of Things (IoT) es integrar las tecnologías informáticas en el quehacer cotidiano de las personas, facilitando su interacción con un entorno de dispositivos interconectados, pero el estado actual del arte hace que dicha interacción esté aún lejos de resultar trivial, precisando de continua intervención del usuario. El modelo People as a Service (PeaaS) pretende facilitar estas tareas por medio del uso del teléfono móvil como interfaz del usuario con IoT. PeaaS permite elaborar un perfil sociológico del usuario, que puede ser explotado por el mismo y servido a terceros de forma controlada. En este trabajo presentamos una aplicación móvil para la supervisión de personas afectadas de alzheimer como prueba de concepto del modelo PeaaS, teniendo como resultado una funcionalidad que va mucho más allá de la ofrecida por otros productos similares en este campo.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

Synthesis and Characterization of Poly(butylene Oxide) Grafted Carbon Nanofibers

The grafting of polybutylene oxide onto purified and functionalized carbon nanofibers is reported. Grafting was possible after the insertion of 2-(formyloxy)ethyl 2-bromo-2-methylpropanoate onto the carbon nanofibers. The polymerization of tetrahydrofuran was mediated by copper(I) bromide and 1,1,4,7-pentamethyl diethylenetriamine. The polymer-grafted carbon nanofibers were characterized by Raman spectrsocopy, Transmission Electron Microscopy, and Thermogravimetric Analysis. TEM images of CNF-COOH (A), CNF-PBO (B), completely open tip of CNF-COOH, and coated tip of CNF-PBO (D) are shown in the left panel. The right panel depicts the distribution of bromine (blue), and carbon (red) atoms inside and in the vicinity of CNF-Br (as obtained by Electron Energy Loss Spectroscopy). The bottom shows the actual doped CNF. Preliminary data showed that these modified fibers have potential applications as smart (electrorheological) fluids

A historic-bibliometric approximation to mudeja art scientific production (II)

Se aborda la segunda parte del trabajo de investigación dedicado al análisis de la producción científica relativa al arte mudéjar en el período 1857-2013. Se tratan los idiomas de publicación, los temas, la autoría y la distribución de trabajos por autor. El idioma mayoritario es el español. La arquitectura y la carpintería son los temas preferentes. Se confirma la preferencia de los investigadores de las Humanidades por trabajar solos y la escasez de trabajos escritos en colaboración.This article presents the second part of an investigative work dedicated to analyze Mudejar art scientific literature in the chronological scope 1857-2013. In the present work are studied publication languages, subjects and authorship, and distribution of work by author. The majority language is Spanish. Architecture and carpentry are the preferred issues. It confirms the preference of researchers in the Humanities to work alone and the scarcity of work written in collaboration

Women\u27s beach handball game statistics: Differences and predictive power for winning and losing teams

The objectives of the present study were: (i) to compare beach handball game-related statistics by match outcome (winning and losing teams), and (ii) to identify characteristics that discriminate performances in the match. The game-related statistics of the 72 women’s matches played in the VIII Women’s Beach Handball World Championship (2018) were analysed. The game-related statistics were taken from the official Web page. A validation of the data showed their reliability to be very good (the inter-observer mean reliability was α=0.82 and the intra-observer mean was α=0.86). For the differences between winning/losing teams a parametric (unpaired t-test) or non-parametric (Mann-Whitney U test) test was applied depending on whether the variable met or did not meet normality, respectively. A stepwise discriminant analysis was then performed to determine the variables that predicted performance (victory or defeat). Five variables showed differences between the winning and losing teams: total points (p<.001; ES=1.09), technical faults (p<.001; ES=‑0.96), the number of players with either negative (p<.001; ES=‑0.86) or positive (p<.001; ES=1.05) valuations and overall valuation (p<.001; ES=1.29). The predictive model correctly classified 80.6% of the matches using two variables (Wilks’s λ=0.618; canonical correlation index=0.618): overall valuation and GK shots

Integration of a Canine Agent in a Wireless Sensor Network for Information Gathering in Search and Rescue Missions

Search and rescue operations in the context of emergency response to human or natural disasters have the major goal of finding potential victims in the shortest possible time. Multi-agent teams, which can include specialized human respondents, robots and canine units, complement the strengths and weaknesses of each agent, like all-terrain mobility or capability to locate human beings. However, efficient coordination of heterogeneous agents requires specific means to locate the agents, and to provide them with the information they require to complete their mission. The major contribution of this work is an application of Wireless Sensor Networks (WSN) to gather information from a multi-agent team and to make it available to the rest of the agents while keeping coverage. In particular, a canine agent has been equipped with a mobile node installed on a harness, providing information about the dog’s location as well as gas levels. The configuration of the mobile node allows for flexible arrangement of the system, being able to integrate static as well as mobile nodes. The gathered information is available at an external database, so that the rest of the agents and the control center can use it in real time. The proposed scheme has been tested in realistic scenarios during search and rescue exercises

MOOCs of inclusive technology in teacher education for vocational education

Technology is a strong ally the transformation and adaptation of new knowledge, through the use of technology environments as virtual learning environments and virtual reality environments can be made more dynamic learning. This work is part of the training of teachers who work in vocational courses so that they can work with people with disabilities and insert them into the labor market, adapting their job according to your needs. For this we used technological resources that assist in training and make this more dynamic training, adapting to Massive Open Online Course (MOOCs). The technological environment developed as well as the selected learning objects were made available to participants. Questionnaires regarding usability and functionality were performed, allowing to generate an overview of the training provided to these teachers

Conventional Matrices Loaded Onto a Graphene Layer Enhances MALDI-TOF/TOF Signal: Its Application to Improve Detection of Phosphorylated Peptides

International audienceThis is the first study where graphene is used as a MALDI adjuvant in combination with the traditional matrix α-cyano-4-hydroxycinnamic acid (CHCA) to improve the signal intensity of peptide samples. Use of this amended matrix not only leads to increased signals but also to a higher number of peaks detected in complex samples. Additionally, the use of graphene has a stabilizing effect that can also be exploited to improve the detection of easily cleavable molecules