Estudio observacional prospectivo sobre la medición no invasiva de la fibrosis y esteatosis hepática pre y post cirugía bariátrica.

La esteatosis hepática no alcohólica (NAFLD en inglés) se trata de la primera causa de hepatopatía crónica en occidente, alcanzando una prevalencia de un 25% en dicho medio. Si tenemos en cuenta factores de riesgo como son la obesidad o la diabetes, la prevalencia de dicha entidad asciende a un 90% entre los pacientes obesos sometidos a cirugía bariátrica y entre un 40-70% en pacientes diabéticos.Es por ello necesario realizar un correcto abordaje de dicha entidad, comenzando por un diagnóstico adecuando representando la biopsia hepática el gold standard del mismo. No obstante, las técnicas de evaluación no invasiva de esteatosis y fibrosis hepática como son el CAP y la elastografía hepática de transición (conocido como Fibroscan) o los scores predictivos de dichas entidades, representan opciones válidas con elevada capacidad de detectar estadíos moderados y severos de esteatosis y fibrosis respectivamente.En el presente trabajo se realiza una comparación entre la variación de las puntuaciones de métodos no invasivos pre y post cirugíua bariátrica con el objetivo de evaluar el potencial beneficio de dicha cirugía no solo en disminuir el IMC sino también en disminuir el grado de fibrosis y esteatosis hepática, así como una comparativa entre las principales técnicas quirúrgicas(SG y BG)empleadas. <br /

Forecasting PM10 in the Bay of Algeciras Based on Regression Models

Different forecasting methodologies, classified into parametric and nonparametric, were studied in order to predict the average concentration of PM10 over the course of 24 h. The comparison of the forecasting models was based on four quality indexes (Pearson’s correlation coefficient, the index of agreement, the mean absolute error, and the root mean squared error). The proposed experimental procedure was put into practice in three urban centers belonging to the Bay of Algeciras (Andalusia, Spain). The prediction results obtained with the proposed models exceed those obtained with the reference models through the introduction of low-quality measurements as exogenous information. This proves that it is possible to improve performance by using additional information from the existing nonlinear relationships between the concentration of the pollutants and the meteorological variables

Imagen corporativa como elemento de posicionamiento estratégico en universidades públicas

This paper aims to share the results of the research: corporate image as a positioning element in public universities case Zulia University, Bolivarian Republic of Venezuela, and University of La Guajira, Colombia, which aimed to analyze the corporate image and positioning in public universities. The theoretical approaches were based in Costa (2003), Van Riel (1997), Scheinson (1997), Nicholas (1996), Pizzolante (1994), Sánchez (2005), Kaplan &amp; Norton (2001), David (1996), among others. The research was descriptive, cross sectional and correlational, non-experimental design and field. To collect information, a structured questionnaire was used, applied to the sample population consisting of 99 teachers and administrators. Dimensions as: perception, corporate identity, management, bases, types and positioning strategies were established. It was concluded that there is a close relationship between corporate image and positioning with a Pearson correlation coefficient of 1.0, considered highly positive, demonstrating that corporate image is a positioning element in public universities, however, serious weaknesses were evidenced in its management. Therefore, it is required to apply good management practices, further scientific and technical rigor in it design and to consider it as an important asset within the organization.El presente artículo tiene como propósito socializar los resultados de la investigación imagen corporativa como elemento de posicionamiento en universidades públicas caso Universidad del Zulia, República Bolivariana de Venezuela y Universidad de La Guajira –Colombia–, que tiene como objetivo analizar la imagen corporativa y el posicionamiento en universidades públicas. Los planteamientos teóricos se fundamentaron en Costa (2003), Van Riel (1997), Scheinson (1997), Nicholas (1996), Pizzolante (1994), Sánchez (2005), Kaplan &amp; Norton (2001), David (1996), entre otros. El tipo de investigación fue de corte transversal, descriptiva y correlacional, con diseño no experimental y de campo. Para la recolección de la información se utilizó una encuesta estructurada aplicada a la muestra poblacional constituida por 99 docentes y directivos. Se establecieron las dimensiones percepción, identidad corporativa, gestión, bases, tipos y estrategias de posicionamiento. Se concluyó que existe estrecha relación entre imagen corporativa y posicionamiento, con un coeficiente de correlación de Pearson de 1.0, considerada altamente positiva, lo que demuestra que la imagen corporativa es un elemento de posicionamiento de universidades públicas; sin embargo, se evidencian profundas debilidades en su gestión. Por lo tanto, se requiere aplicar buenas prácticas administrativas, mayor rigor científico y técnico en su diseño y considerarla como un activo importante dentro de la organización.

Concert recording 2023-02-26

[Track 1 - 4]. Quartet in F (1814/15), Op. 37. I. Allegro ; II. Andantino ; III Menuetto ; IV. Rondo / Justus Johann Friedrich Dotzauer -- [Track 5 - 7]. Trio (1970). I. Allegro con brio ; II. Andante semplice ; III. Allegro giocoso / Madeleine Dring -- [Track 8 - 9]. Trio de Salon, Op. 8. I. Andantino sostenuto ; II. Allegro Moderato / Clemence de Grandval ; [Track 10 - 11]. Wind Quintet (1922), Op. 43. I. Allegro be moderato ; II. Menuet ; Praeludium: Temo con variazioni / Carl Nielse

Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana

This article proposes a measurement solution designed to monitor the instantaneous frequency in power systems. It uses a data acquisition module and a GPS receiver for time stamping and traceability. A Python-based module receives data, computes the frequency, and finally transfers the measurement results to a database. The frequency is calculated with two different methods, which are compared in the article. The stored data is visualized using the Grafana platform, thus demonstrating its potential for comparing scientific data. The system as a whole constitutes an efficient, low-cost solution as a data acquisition system.This research is funded by the Spanish Ministry of Science and Education through the project PID2019-108953RB-C21; has been co-financed by the European Union under the 2014-2020 ERDF Operational Program. Additionally, funding for frequency monitoring comes from the Andalusian-FEDER project FEDER-UCA18-108516 (Intelligent Techniques for visualization and data compression of PQ data in the smart grid)

Design and Test of a High-Performance Wireless Sensor Network for Irradiance Monitoring

Cloud-induced photovoltaic variability can affect grid stability and power quality, especially in electricity systems with high penetration levels. The availability of irradiance field forecasts in the scale of seconds and meters is fundamental for an adequate control of photovoltaic systems in order to minimize their impact on distribution networks. Irradiance sensor networks have proved to be efficient tools for supporting these forecasts, but the costs of monitoring systems with the required specifications are economically justified only for large plants and research purposes. This study deals with the design and test of a wireless irradiance sensor network as an adaptable operational solution for photovoltaic systems capable of meeting the measurement specifications necessary for capturing the clouds passage. The network was based on WiFi, comprised 16 pyranometers, and proved to be stable at sampling periods up to 25 ms, providing detailed spatial representations of the irradiance field and its evolution. As a result, the developed network was capable of achieving comparable specifications to research wired irradiance monitoring network with the advantages in costs and flexibility of the wireless technology, thus constituting a valuable tool for supporting nowcasting systems for photovoltaic management and control

Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning

Lab sessions in Engineering education are designed to reinforce theoretical concepts. However, there is usually not enough time to reinforce all of them. Remote and virtual labs give students more time to reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab instruments and specific configurations. This work proposes a flexible configuration for Remote Lab Sessions, based on some of 2019 most popular programming languages (Python and JavaScript). This configuration needs minimal network privileges, it is easy to scale and reconfigure. Its structure is based on a unique Reception-Server (which hosts User database, and Time Shift Manager, it is accessible from The Internet, and connects Users with Instruments-Servers) and some Instrument-Servers (which manage hardware connection and host experiences). Users always connect to the Reception-Server, and book a shift for an experience. During the time range associate to that shift, User is internally forwarded to Instrument-Server associated with the selected experience, so User is still connected to the Reception-Serer. In this way, Reception-Server acts as a firewall, protecting Instrument-Servers, which never are open to The Internet. A triple evaluation system is implemented, User session logging with auto-evaluation (objectives accomplished), a knowledge test and an interaction survey. An example experience is implemented, controlling a DC source using Standard Commands for Programmable Instruments

Site Characterization Index for Continuous Power Quality Monitoring Based on Higher-order Statistics

The high penetration of distributed generation (DG) has set up a challenge for energy management and consequently for the monitoring and assessment of power quality (PQ). Besides, there are new types of disturbances owing to the uncontrolled connections of non-linear loads. The stochastic behaviour triggers the need for new holistic indicators which also deal with big data of PQ in terms of compression and scalability so as to extract the useful information regarding different network states and the prevailing PQ disturbances for future risk assessment and energy management systems. Permanent and continuous monitoring would guarantee the report to claim for damages and to assess the risk of PQ distortions. In this context, we propose a measurement method that postulates the use of two-dimensional (2D) diagrams based on higher-order statistics (HOSs) and a previous voltage quality index that assesses the voltage supply waveform in a continous monitoring campaign. Being suitable for both PQ and reliability applications, the results conclude that the inclusion of HOS measurements in the industrial metrological reports helps characterize the deviations of the voltage supply waveform, extracting the individual customers' pattern fingerprint, and compressing the data from both time and spatial aspects. The method allows a continuous and robust performance needed in the SG framework. Consequently, the method can be used by an average consumer as a probabilistic method to assess the risk of PQ deviations in site characterization.This work was supported by the Spanish Ministry of Science and Innovation (Statal Agency for Research), and the EU (AEI/FEDER/UE) via project PID2019-108953RB-C21 Strategies for Aggregated Generation of Photovoltaic Plants: Energy and Meteorological Operational Data (SAGPVEMOD), and the precedent TEC2016-77632-C3-3-R

Texting during lecture...maybe or maybe not?

Media distractions constantly break our attention. In previous research, students attempted to multitask during a five min PowerPoint presentation. The results revealed that participants who did not multitask completed the tasks better than those who did multitask. From these findings, further research designed to study the effects of multitasking on learning is warranted. Therefore, the proposed study consisted of examining the effects of multitasking on memory among college students while simulating texting during a video lecture. The results of the study will provide insight into college students’ ability to divide their attention between content on their devices and class lectures