Programa de educación sanitaria sobre diabetes tipo I para pacientes pediátricos y familiares.

RESUMEN Introducción La diabetes mellitus es una de las enfermedades crónicas más frecuentes en la infancia. La terapia insulínica, el plan de alimentación según el esquema insulínico utilizado, el automonitoreo y la educación continua son los elementos clave para asegurar un buen control metabólico y tanto el paciente como su entorno deben estar preparados para hacer frente a situaciones comunes en la vida del paciente. Objetivo principal Realizar un programa de autocuidados dirigido a niños y sus familiares con el fin de promover y desarrollar la educación y prevención sanitaria. Metodología Se ha realizado una revisión bibliográfica de publicaciones acerca de la diabetes mellitus tipo I en diferentes bases de datos con un periodo no superior a 10 años de antigüedad. El programa tendrá duración de 3 semanas y constara de una sesión por semana. Todas las sesiones contaran con una duración de 2 horas. Conclusiones La diabetes infantil es una enfermedad que cuando se diagnostica causa un gran impacto en la vida de los pacientes y de sus familias debido a los grandes cambios que produce. Esto hace necesaria una intervención por parte de enfermería con el fin de conseguir que tanto los pacientes como su familia adquieran unos conocimientos y estrategias que les permitan afrontar dichos cambios con el mayor bienestar posible. El programa educativo ha sido diseñado con el fin de abordar las dificultades y las conductas inadecuadas que los pacientes puedan tener y establecer hábitos de salud adecuados. Palabras clave “Diabetes infantil”, “diabetes mellitus tipo I”, “tratamiento diabetes infantil”, “diagnostico diabetes infantil”, “programa educativo”

A Low-Cost Non-Intrusive Method for In-Field Motor Speed Measurement Based on a Smartphone

Induction motors are broadly used as drivers of a large variety of industrial equipment. A proper measurement of the motor rotation speed is essential to monitor the performance of most industrial drives. As an example, the measurement of rotor speed is a simple and broadly used industrial method to estimate the motor’s efficiency or mechanical load. In this work, a new low-cost non-intrusive method for in-field motor speed measurement, based on the spectral analysis of the motor audible noise, is proposed. The motor noise is acquired using a smartphone and processed by a MATLAB-based routine, which determines the rotation speed by identifying the rotor shaft mechanical frequency from the harmonic spectrum of the noise signal. This work intends to test the hypothesis that the emitted motor noise, like mechanical vibrations, contains a frequency component due to the rotation speed which, to the authors’ knowledge, has thus far been disregarded for the purpose of speed measurement. The experimental results of a variety of tests, from no load to full load, including the use of a frequency converter, found that relative errors on the speed estimation were always lower than 0.151%. These findings proved the versatility, robustness, and accuracy of the proposed method.Spanish MEC-Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness), co-funded by the European Commission (ERDF-European Regional Development Fund) ENE2016-77650-RMinisterio de Ciencia e Innovación (España) CERVERA research program of CDTI (Industrial and Technological Development Centre of Spain) research Project HySGrid+ CER-2019101

Using street based metrics to characterize urban typologies

[EN] Urban spatial structures reflect local particularities produced during the development of a city. High spatial resolution imagery and LiDAR data are currently used to derive numerical attributes to describe in detail intra-urban structures and morphologies. Urban block boundaries have been frequently used to define the units for extracting metrics from remotely sensed data. In this paper, we propose to complement these metrics with a set of novel descriptors of the streets surrounding the urban blocks under consideration. These metrics numerically describe geometrical properties in addition to other distinctive aspects, such as presence and properties of vegetation and the relationship between the streets and buildings. For this purpose, we also introduce a methodology for partitioning the street area related to an urban block into polygons from which the street urban metrics are derived. We achieve the assessment of these metrics through application of a one-way ANOVA procedure, the winnowing technique, and a decision tree classifier. Our results suggest that street metrics, and particularly those describing the street geometry, are suitable for enhancing the discrimination of complex urban typologies and help to reduce the confusion between certain typologies. The overall classification accuracy increased from 72.7% to 81.1% after the addition street of descriptors. The results of this study demonstrate the usefulness of these metrics for describing street properties and complementing information derived from urban blocks to improve the description of urban areas. Street metrics are of particular use for the characterization of urban typologies and to study the dynamics of cities.The authors appreciate the financial support provided by the Spanish Ministry of Science and Innovation in the framework of the project CGL2010-19591/BTE, and the data made available by the Spanish Instituto Geográfico Nacional (IGN)Hermosilla, T.; Palomar-Vázquez, J.; Balaguer Beser, ÁA.; Balsa Barreiro, J.; Ruiz Fernández, LÁ. (2014). Using street based metrics to characterize urban typologies. Computers, Environment and Urban Systems. 44:68-79. https://doi.org/10.1016/j.compenvurbsys.2013.12.002S68794

Message Encryption in Robot Operating System: Collateral Effects of Hardening Mobile Robots

[EN] In human–robot interaction situations, robot sensors collect huge amounts of data from the environment in order to characterize the situation. Some of the gathered data ought to be treated as private, such as medical data (i.e., medication guidelines), personal, and safety information (i.e., images of children, home habits, alarm codes, etc.). However, most robotic software development frameworks are not designed for securely managing this information. This paper analyzes the scenario of hardening one of the most widely used robotic middlewares, Robot Operating System (ROS). The study investigates a robot’s performance when ciphering the messages interchanged between ROS nodes under the publish/subscribe paradigm. In particular, this research focuses on the nodes that manage cameras and LIDAR sensors, which are two of the most extended sensing solutions in mobile robotics, and analyzes the collateral effects on the robot’s achievement under different computing capabilities and encryption algorithms (3DES, AES, and Blowfish) to robot performance. The findings present empirical evidence that simple encryption algorithms are lightweight enough to provide cyber-security even in lowpowered robots when carefully designed and implemented. Nevertheless, these techniques come with a number of serious drawbacks regarding robot autonomy and performance if they are applied randomly. To avoid these issues, we define a taxonomy that links the type of ROS message, computational units, and the encryption methods. As a result, we present a model to select the optimal options for hardening a mobile robot using ROS.SIInstituto Nacional de Ciberseguridad (Adenda21)Junta de Castilla y León (LE028P17

Cybersecurity in Autonomous Systems: Evaluating the performance of hardening ROS

As robotic systems spread, cybersecurity emerges as major concern. Currently most research autonomous systems are built using the ROS framework, along with other commercial software. ROS is a distributed framework where nodes publish information that other nodes consume. This model simplifies data communication but poses a major threat because a malicious process could easily interfere the communications, read private messages or even supersede nodes. In this paper we propose that ROS communications should be encrypted. We also measure how encryption affects its performance.We have used 3DES cyphering algorithm and we have evaluated the performance of the system, both from the computing and the communications point of view. Preliminary results show that symmetric ciphers using private keys impose significant delay

CNstream: A method for the identification and genotyping of copy number polymorphisms using Illumina microarrays

<p>Abstract</p> <p>Background</p> <p>Understanding the genetic basis of disease risk in depth requires an exhaustive knowledge of the types of genetic variation. Very recently, Copy Number Variants (CNVs) have received much attention because of their potential implication in common disease susceptibility. Copy Number Polymorphisms (CNPs) are of interest as they segregate at an appreciable frequency in the general population (i.e. > 1%) and are potentially implicated in the genetic basis of common diseases.</p> <p>Results</p> <p>This paper concerns CNstream, a method for whole-genome CNV discovery and genotyping, using Illumina Beadchip arrays. Compared with other methods, a high level of accuracy was achieved by analyzing the measures of each intensity channel separately and combining information from multiple samples. The CNstream method uses heuristics and parametrical statistics to assign a confidence score to each sample at each probe; the sensitivity of the analysis is increased by jointly calling the copy number state over a set of nearby and consecutive probes. The present method has been tested on a real dataset of 575 samples genotyped using Illumina HumanHap 300 Beadchip, and demonstrates a high correlation with the Database of Genomic Variants (DGV). The same set of samples was analyzed with PennCNV, one of the most frequently used copy number inference methods for Illumina platforms. CNstream was able to identify CNP loci that are not detected by PennCNV and it increased the sensitivity over multiple other loci in the genome.</p> <p>Conclusions</p> <p>CNstream is a useful method for the identification and characterization of CNPs using Illumina genotyping microarrays. Compared to the PennCNV method, it has greater sensitivity over multiple CNP loci and allows more powerful statistical analysis in these regions. Therefore, CNstream is a robust CNP analysis tool of use to researchers performing genome-wide association studies (GWAS) on Illumina platforms and aiming to identify CNVs associated with the variables of interest. CNstream has been implemented as an R statistical software package that can work directly from raw intensity files generated from Illumina GWAS projects. The method is available at <url>http://www.urr.cat/cnv/cnstream.html</url>.</p

C Secure Coding Standards Performance: CMU SEI CERT vs MISRA

We present a prospective study for performance comparison between programs written in C language and the same programs reviewed and modified to be compliant with CMU SEI CERT C Secure Coding Standard and with MISRA C, the most relevant Secure Coding Standards in existence nowadays. Our initial results show that, as expected, any of the Secure Coding Standards is susceptible to have a negative impact on performance, increasing program running time. We have also found that MISRA C Standard may be less likely to affect code performance than SEI CERT C Standard is, and that it may produce a more optimal code than SEI CERT Standard does; however, further research is needed for proper confirmation of these results

Medication Non-Adherence in Rheumatology, Oncology and Cardiology: A Review of the Literature of Risk Factors and Potential Interventions

Medication adherence is directly associated with health outcomes. Adherence has been reviewed extensively; however, most studies provide a narrow scope of the problem, covering a specific disease or treatment. This project’s objective was to identify risk factors for non-adherence in the fields of rheumatology, oncology, and cardiology as well as potential interventions to improve adherence and their association with the risk factors. The project was developed in three phases and carried out by a Steering Committee made up of experts from the fields of rheumatology, oncology, cardiology, general medicine, and hospital and community pharmacy. In phase 1, a bibliographic review was performed, and the articles/reviews were classified according to the authors’ level of confidence in the results and their clinical relevance. In phase 2, 20 risk factors for non-adherence were identified from these articles/reviews and agreed upon in Steering Committee meetings. In phase 3, potential interventions for improving adherence were also identified and agreed upon. The results obtained show that adherence is a dynamic concept that can change throughout the course of the disease, the treatments, and other factors. Educational interventions are the most studied ones and have the highest level of confidence in the authors’ opinion. Information and education are essential to improve adherence in all patients

The immunogenicity to the first anti-TNF therapy determines the outcome of switching to a second anti-TNF therapy in spondyloarthritis patients

Introduction: Anti-TNF drugs have proven to be effective against spondyloarthritis (SpA), although 30% of patients fail to respond or experience adverse events leading to treatment discontinuation. In rheumatoid arthritis, the presence of anti-drug antibodies (ADA) against the first TNF inhibitor influences the outcome after switching. Our aim was to assess whether the response to a second anti-TNF drug is related to the previous development of ADA to the first anti-TNF drug SpA patients. Methods: Forty-two SpA patients began a second anti-TNF drug after failing to respond to the first anti-TNF therapy. Clinical activity was assessed by the Ankylosing Spondylitis Disease Activity Score (ASDAS) at baseline (at the beginning of the first and second anti-TNF therapy) and at 6 months after switching. The drug and ADA levels were measured by ELISA before each administration. Results: All patients were treated with anti-TNF drugs and mainly due to inefficacy were switched to a second anti-TNF drug. Eleven of 42 (26.2%) developed ADA during the first biologic treatment. At baseline, no differences in ASDAS were found in patients with or without ADA to the first anti-TNF drug (3.52 ± 1.03 without ADA vs. 3.14 ± 0.95 with ADA, p = 0.399) and to the second anti-TNF drug (3.36 ± 0.94 without ADA vs. 3.09 ± 0.91 with ADA, p = 0.466). At 6 months after switching, patients with previous ADA had lower disease activity (1.62 ± 0.93 with ADA vs. 2.79 ± 1.01 without ADA, p = 0.002) and most patients without ADA had high disease activity state by the ASDAS (25 out of 31 (80.6%) without ADA vs. 3 out of 11 (27.3%) with ADA, p = 0.002). Conclusions: In SpA the failure to respond to the first anti-TNF drug due to the presence of ADA predicts a better clinical response to a second anti-TNF drug

Recomendaciones de experto sobre el bloqueo de la interleucina 6 en pacientes con artritis reumatoide

[Abstract] Objective: To draft recommendations on interleukin 6 (IL-6) blockade in rheumatoid arthritis (RA), based on best evidence and experience. Methods: A group of 10 experts on IL-6 blockade in RA was selected. The 2 coordinators formulated 23 questions about IL-6 blockade (indications, efficacy, safety, etc.). A systematic review was conducted to answer the questions. Using this information, inclusion and exclusion criteria were established, as were the search strategies (Medline, EMBASE and the Cochrane Library were searched). Two different reviewers selected the articles. Evidence tables were created. At the same time, European League Against Rheumatism and American College of Rheumatology abstracts were evaluated. Based on this evidence, the coordinators proposed preliminary recommendations that the experts discussed and voted on in a nominal group meeting. The level of evidence and grade of recommendation were established using the Oxford Centre for Evidence Based Medicine and the level of agreement with the Delphi technique (2 rounds). Agreement was established if at least 80% of the experts voted yes (yes/no). Results: The 8 preliminary recommendations were accepted after the Delphi process. They covered aspects such as the use of these therapies in monotherapy, in combination, in patients with refractory disease or intolerant patients, response evaluation, optimization and risk management. Conclusions: The manuscript aims to solve frequently asked questions and aid in decision making strategies when treating RA patients with IL-6 blockade.[Resumen] Objetivo. Generar recomendaciones sobre el bloqueo de la interleucina 6 (IL-6) en pacientes con artritis reumatoide (AR), basadas en la mejor evidencia y experiencia. Métodos. Se seleccionó a 10 expertos reumatólogos en el manejo de los inhibidores de la IL-6. Los 2 coordinadores generaron 23 preguntas sobre el bloqueo de la IL-6 en la AR (perfiles de indicación, eficacia, seguridad, etc.) para ser contestadas mediante una revisión sistemática de la literatura. Con base en las preguntas se definieron los criterios de inclusión y exclusión, y las estrategias de búsqueda (para interrogar Medline, Embase y la Cochrane Library). Dos revisores seleccionaron los artículos resultantes de la búsqueda. Se generaron tablas de evidencia. Paralelamente, se evaluaron abstracts de congresos de EULAR y ACR. Con toda esta evidencia los coordinadores propusieron 8 recomendaciones preliminares que se evaluaron, discutieron y votaron en una reunión de grupo nominal con el resto de los expertos. Para cada recomendación se estableció el nivel de evidencia y grado de recomendación, y el grado de acuerdo mediante un Delphi. Se definió acuerdo si al menos el 80% de los participantes contestaban sí a la recomendación (sí o no). Resultados. Las 8 recomendaciones preliminares se aceptaron tras el Delphi. Abarcan aspectos como su uso en monoterapia, en combinación, en pacientes refractarios o intolerantes, la evaluación de su respuesta, la optimización o la gestión del riesgo. Conclusiones. Este documento pretende resolver algunos interrogantes clínicos habituales y facilitar la toma de decisiones con el bloqueo de la IL-6 en el manejo de la AR