Evolución de una Experiencia de Formación Semipresencial para una Empresa Nacional

[Otros] This paper presents a training plan in the form of blended learning carried out with professionals of the national company ADIF. Throughout this study, we will present the course content and the pursued objectives. This paper also analyzes the profile of the students included in this course and reviews, in terms of age and gender, how they impact to the class results. Most of the course is conducted through two learning platforms. But during the attendance days, students perform collaborative practice on real devices. We explain each activity incorporated to the course, virtual practices simulators, real and remote practices, exams performed and their weight over the final grade, etc..) Finally, we will show the alumni opinions and their qualifications during the years which we have followed this training plan. As we will see in the results, the best or worst acceptance of this type of teaching innovations are affected by the age of the participants and their knowledge of these new technologies.[ES] Este artículo expone un plan formativo en régimen semi-presencial llevado a cabo con profesionales de la empresa nacional ADIF. A lo largo de este estudio, se presenta en contenido del curso y los objetivos que persigue. Así mismo, analizaremos el perfil de los alumnos a los que dirigimos este curso y veremos qué alumnos recibimos, en lo referente a edades y género. La mayor parte del curso se realiza a través de 2 plataformas de aprendizaje, pero se incluyen jornadas presenciales para la realización de prácticas colaborativas sobre dispositivos reales. Se explicará cada una de las actividades incorporadas en el curso, como prácticas virtuales con simuladores, prácticas remotas reales, prácticas presenciales, exámenes a realizar y su peso sobre la nota final, etc.) Finalmente, se presentan las opiniones de los alumnos de los 3 años durante los cuales se ha seguido este plan formativo y las calificaciones obtenidas. Como veremos en los resultados, la mejor o peor aceptación de este tipo de innovaciones docentes, se ven afectadas por la edad de los participantes y su conocimiento de estas nuevas tecnologías.Sendra, S.; Jimenez, JM.; Lloret, J.; Vincent Vela, MC. (2014). Evolución de una Experiencia de Formación Semipresencial para una Empresa Nacional. Editorial Universitat Politècnica de València. 576-590. http://hdl.handle.net/10251/168736S57659

Automated Program Analysis for Novice Programmers

[EN] This paper describes how to adapt a static code analyzer to provide feedback novice programmers and their teachers. Current analyzers have been built to give feedback to experienced programmers who work on software projects or systems. The type of feedback and the type of analysis of these tools focusses on mistakes that are relevant within that context, and help with debugging software system. When teaching novice programmers this type of advice is often not particularly useful. It would be instead more useful to use these techniques to identify problem in the understanding of students of important programming concepts. This paper first explores in what respect static analyzers support the learning and teaching of programming, and what can be implemented based on existing static analysis technology. It presents an extension of static analyzer PMD to create feedback that is more valuable to novice programmers. To answer the question if these techniques are able to find conceptual mistakes that are characteristic for novice programmers make, we ran it over a number of student projects, and compared these results with publicly available mature software projects.Blok, T.; Fehnker, A. (2017). Automated Program Analysis for Novice Programmers. En Proceedings of the 3rd International Conference on Higher Education Advances. Editorial Universitat Politècnica de València. 1138-1146. https://doi.org/10.4995/HEAD17.2017.5533OCS1138114

Comparison between artificial neural networks and Hermia's models to assess ultrafiltration performance

In this work, flux decline during crossflow ultrafiltration of macromolecules with ceramic membranes has been modeled using artificial neural networks. The artificial neural network tested was the multilayer perceptron. Operating parameters (transmembrane pressure, crossflow velocity and time) and dynamic fouling were used as inputs to predict the permeate flux. Several pretreatments of the experimental data and the optimal selection of the parameters of the neural networks were studied to improve the fitting accuracy. The fitting accuracy obtained with artificial neural networks was compared with Hermia pore blocking models adapted to crossflow ultrafiltration. The artificial neural networks generate simulations whose performance was comparable to that of Hermia's models adapted to crossflow ultrafiltration. Considering the computational speed, high accuracy and the ease of the artificial neural networks methodology, they are a competitive, powerful and fast alternative for dynamic crossflow ultrafiltration modeling.The Spanish Ministry for Science and Innovation (Project OPTIMEM CTM2010-20248) is kindly acknowledged.Corbatón Báguena, MJ.; Vincent Vela, MC.; Gozálvez-Zafrilla, JM.; Alvarez Blanco, S.; Lora-García, J.; Catalán Martínez, D. (2016). Comparison between artificial neural networks and Hermia's models to assess ultrafiltration performance. Separation and Purification Technology. 170:434-444. https://doi.org/10.1016/j.seppur.2016.07.007S43444417

Facebook usage by students in higher education

[EN] In this paper I measure first year student Facebook usage as part of a broader PhD study into the influence of social media usage on the success of students in higher education. A total of 906 students were asked to complete 3 surveys on Facebook usage with their peers, for two consecutive years (2011-2012 and 2012-2013). The different purposes for Facebook usage, in addition to whether or not students used (self-created) Facebook-groups, were measured and the relationship between the use of pages compared to the purpose of Facebook usage. This resulted in significant correlations between the purpose of Facebook usage and the use of different pages, as well as correlations between the purpose and use of different pages. This study hereby explores the variation in student Facebook usage and provides valuable insight into the potential value of Facebook for students in an educational setting, without the interference of teachers. It is also the next logical step in revising existing integration and engagement theories that predict student successin higher education in contemporary society.Wesseling, N. (2015). Facebook usage by students in higher education. En 1ST INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD' 15). Editorial Universitat Politècnica de València. 593-599. https://doi.org/10.4995/HEAd15.2015.395OCS59359

Combining Ultrafiltration and Nanofiltration to Obtain a Concentrated Extract of Purified Polyphenols from Wet Olive Pomace

Despite the environmental concerns raised every year by the generation of high volumes of wet olive pomace, it contains valuable phenolic compounds that are essential for the valorization of this by-product. In this work, an integrated process to recover phenolic compounds from wet olive pomace is proposed. It consists of ultrasound-assisted solid-liquid extraction, followed by ultrafiltration and nanofiltration. Several commercial membranes were studied at different operational conditions. The ultrafiltration stage allowed the purification of biophenols, which were obtained in the permeate stream. Regarding organic matter, satisfactory rejection values were obtained with both commercial UH030 and UP005 membranes (Microdyn Nadir), but the latter provided more efficient purification and higher values of permeate flux, above 18 L·h−1·m−2 at 2.5 bar and 1.5 m·s−1. Later, this permeate stream was concentrated by means of a nanofiltration process, obtaining polyphenol rejection values that surpassed 85% with the commercial NF270 membrane (DuPont), then achieving the concentration of the previously purified polyphenols

Combining Ultrafiltration and Nanofiltration to Obtain a Concentrated Extract of Purified Polyphenols from Wet Olive Pomace

Despite the environmental concerns raised every year by the generation of high volumes of wet olive pomace, it contains valuable phenolic compounds that are essential for the valorization of this by-product. In this work, an integrated process to recover phenolic compounds from wet olive pomace is proposed. It consists of ultrasound-assisted solid-liquid extraction, followed by ultrafiltration and nanofiltration. Several commercial membranes were studied at different operational conditions. The ultrafiltration stage allowed the purification of biophenols, which were obtained in the permeate stream. Regarding organic matter, satisfactory rejection values were obtained with both commercial UH030 and UP005 membranes (Microdyn Nadir), but the latter provided more efficient purification and higher values of permeate flux, above 18 L·h−1·m−2 at 2.5 bar and 1.5 m·s−1. Later, this permeate stream was concentrated by means of a nanofiltration process, obtaining polyphenol rejection values that surpassed 85% with the commercial NF270 membrane (DuPont), then achieving the concentration of the previously purified polyphenols

Theoretical Model for the Prediction of Water Flux during the Concentration of an Olive Mill Wastewater Model Solution by Means of Forward Osmosis

Currently, understanding the dynamics of the interaction between the agents in a process is one of the most important factors regarding its operation and design. Membrane processes for industrial wastewater management are not strangers to this topic. One such example is the concentration of compounds with high added value, such as the phenolic compounds present in olive mill wastewater (OMW). This process is a viable option, thanks to the forward osmosis (FO) process, osmotically driven by a saline stream. In this context, the transport of the solute and the solvent through the FO membranes, although essential to the process, remains problematic. This paper presents a study to predict, by means of a theoretical model, the water flux for two membranes (a cellulose triacetate flat sheet and a polyamide hollow fiber with integrated aquaporin proteins) with different characteristics using a sodium chloride solution as the draw solution (DS). The novelty of this model is the consideration of the contribution of organic compounds (in addition to the inorganic salts) to the osmotic pressure in the feed side. Moreover, the geometry of the modules and the characteristics of the membranes were also considered. The model was developed with the ability to run under different conditions, with or without tyrosol (the compound chosen as representative of OMW phenolic compounds) in the feed solution (FS), and was fitted and evaluated using experimental data. The results presented a variability in the model prediction, which was a function of both the membrane used and the FS and DS, with a greater influence of tyrosol observed on the permeate flux in the flat cellulose triacetate membrane