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Dataset of the work "UBU-Polymers Research Group 27022024"
No full textThe dataset contains all raw data of the work "Reusable and Effective Polyacrylic Membranes for Mecoprop and Bentazon Extraction"We gratefully acknowledge the financial support provided by all funders. The financial support provided by Fondo Europeo de Desarrollo Regional-European Regional Development Fund (FEDER, ERDF) and Regional Government of Castilla y León -Consejería de Educación, Junta de Castilla y León- (BU025P23) is gratefully acknowledged. This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU PRTR. Author J. M. García received grant PID2020-113264RB-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. Author Saul Vallejos received grant BG22/00086 funded by Spanish Ministerio de Universidades. The authors also acknowledge Fundação para a Ciência e a Tecnologia (FCT), the Portuguese Agency for Scientific Research for the financial support through project UIDP/00313/2020. Tania Cova acknowledges the Junior Researcher Grant CEECIND/00915/2018 assigned by FCT. Gianluca Utzeri thanks FCT for the PhD grant SFR/BD/146358/2019
Evaluating hydrogen embrittlement susceptibility of a 2205 DSS
No full textHydrogen embrittlement of a 2205 DSS has been evaluated by in-situ tensile tests at high-pressure hydrogen gas. Mechanical tests were conducted in smooth and notched samples, following the ASTM G142 standard. Hydrogen embrittlement susceptibility was studied at 70 and 140 bar. In the smooth samples, the loss of ductility was marked. However, the increase in hydrogen pressure from 70 to 140 bar seems to be practically negligible. On the other hand, in the notched samples, hydrogen damage was especially remarkable at 140 bar. Finally, hydrogen embrittlement susceptibility is also discussed based on the fracture micromechanims.The authors would like to thank the Spanish Government for the financial support received to perform the research projects PID2021-124768OB-C21 and TED2021-130413B-I00–HyDuplex3D. This work was also supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union Next Generation EU/PRTR (MR4W.P2 and MR5W.P3)
Proceso penal y personas jurídicas: perspectivas desde el Derecho de la Unión Europea y el Derecho español
No full textLa Tesis Doctoral aborda las dificultades de aplicación de los instrumentos de reconocimiento mutuo regulados por la normativa de la Unión Europea a los ilícitos trasnacionales cometidos por personas jurídicas, como consecuencia de la escasa aproximación legislativa penal tanto sustantiva como procesal existente aún en el Espacio de Libertad, Seguridad y Justicia (ELSJ), redundante en una falta de confianza mutua. Igualmente, se indaga en la adopción en España de un modelo penal de responsabilidad de las entidades, en el que el defecto organizacional se erige en elemento esencial de culpabilidad con la consiguiente aparición de cuestiones procesales de relieve, como lo es la atribución de la carga de la prueba de los programas de cumplimiento normativo o el respeto a las garantías procesales de las entidades.This doctoral thesis deals with the difficulties of applying the mutual recognition instruments regulated by European Union legislation to transnational offences committed by legal persons, as a consequence of the scarce approximation of criminal legislation, both substantive and procedural, still existing in the Area of Freedom, Security and Justice (AFSJ), which results in a lack of mutual trust. It also explores the adoption in Spain of a criminal liability model for entities, in which the organisational defect becomes an essential element of culpability with the consequent appearance of important procedural issues, such as the attribution of the burden of proof of regulatory compliance programmes or respect for the procedural guarantees of the entities
A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production
Get PDFThere is no doubt that the European Union is undergoing an ecological transition, with renewable energies
accounting for an increasing share of energy consumption in the Member States. In Spain, solar energy is one of these rapidly expanding renewable sources. This study analyzes the solar energy production of a panel in the Spanish region of Galicia. It has been demonstrated that the solar energy produced by this panel can be predicted using a hybrid stepwise system. The missing value imputation is a key step in the process. This involves combining regression and clustering techniques on different subdivisions of the complete dataset, starting with a smaller and less complete dataset and performing appropriate imputations to create a larger and more complete collection. Finally, the dataset is divided into more relevant subsets for regression analysis to calculate the amount of solar energy generated. The imputing missing values using an Artificial Neural Network resulted in a more valid dataset for further processing than eliminating rows with corrupted or empty values. Also, properly applying clustering techniques gives better results than working on the whole dataset.Míriam Timiraos’s research was supported by the “Xunta de Galicia” (Regional Government of Galicia), Spain through grants to industrial PhD (http://gain.xunta.gal/), under the “Doutoramento Industrial 2022” grant with reference: 04_IN606D_2022_2692965. Funding for open access charge: Universidade da Coruña/CISUG. CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01)
Tecnologías para el aprendizaje sostenible en individuos con síndrome de down: exploración de herramientas y estrategias pedagógicas
Get PDFLa Tesis Doctoral aborda la urgencia de una sociedad sostenible en todos sus campos, destacando la importancia de la educación para promover valores y competencias en el ámbito medioambiental. La inclusión social, especialmente de personas con diversidad funcional, y el papel transformador de la escuela son fundamentales. Las Tecnologías de la Información y la Comunicación (TIC) desempeñan un papel crucial en la innovación educativa. Esta Tesis Doctoral se integra en el Proyecto Educativo Europeo SUSKIDS, que busca ofrecer orientaciones y estrategias pedagógicas a profesionales para transmitir conocimientos sostenibles a personas con Síndrome de Down, y analiza el impacto de una plataforma virtual en el aprendizaje sobre sostenibilidad en dicho colectivo (personas con Síndrome de Down). El enfoque se centra en tres aspectos principales: el uso de herramientas digitales en el ámbito educativo, la presentación de una plataforma digital adaptada y su posible alcance formativo y de apoyo para el colectivo destinatario. La investigación se ha llevado a cabo en tres fases, una de búsqueda bibliográfica en torno a tres aspectos: recursos digitales y entornos virtuales en educación para personas con Síndrome de Down, integración de contenidos de sostenibilidad y evaluación del proceso educativo. La segunda fase recopila información para desarrollar material didáctico y guías metodológicas. Se enfoca en proporcionar apoyo a profesionales y familias, diseñar una plataforma virtual adaptada y evaluar su usabilidad y el aprendizaje de personas con Síndrome de Down. La tercera fase implica la comprobación de la utilidad de la plataforma SUSKIDS mediante análisis de datos de diversa naturaleza empleando estadística descriptiva y técnicas de minería de textos. La evaluación de la satisfacción de los participantes con los materiales y la usabilidad de la plataforma es esencial. Los resultados de esta investigación se anticipan como contribuciones significativas para comprender la adaptación de recursos digitales al estilo de aprendizaje de personas con Síndrome de Down, respaldando su formación como ciudadanos activos y mejorando su futura inserción laboral. La implementación de mejoras basadas en los hallazgos obtenidos cerrará el ciclo de este estudio orientado a la mejora continua.The thesis addresses the urgency of a sustainable society, emphasizing the importance of education in promoting values and competencies in the environmental field. Social inclusion, especially for individuals with functional diversity, and the transformative role of schools are crucial. Information and Communication Technologies (ICT) play a crucial role in educational innovation. The Doctoral Thesis is integrated into the European SUSKIDS Education Project, aiming to provide guidance and pedagogical strategies to professionals for imparting sustainable knowledge to individuals with Down Syndrome. It analyses the impact of a virtual platform on sustainability learning for this group, focusing on three main aspects: the use of digital tools in education, the presentation of an adapted digital platform, and its potential educational and support scope for the target audience. The research has been carried out in three phases. The first involved a literature review on three aspects: digital resources and virtual environments in education for individuals with Down Syndrome, integration of sustainability content, and evaluation of the educational process. The second phase collected information to develop instructional material and methodological guides, focusing on providing support to professionals and families, designing an adapted virtual platform, and assessing its usability and learning outcomes for individuals with Down Syndrome. The third phase involves verifying the utility of the SUSKIDS platform through the analysis of diverse data using descriptive statistics and Text mining techniques. The assessment of participant satisfaction with the materials and usability of the platform is crucial. The anticipated results of this research are expected to make significant contributions to understanding the adaptation of digital resources to the learning style of individuals with Down Syndrome, supporting their development as active citizens, and enhancing their future employability. The implementation of improvements based on the findings will conclude the cycle of this study focused on continuous improvement.La Tesis Doctoral se enmarca en el Proyecto Educativo Europeo SUSKIDS, 2018-ES01-KA201-050639-Capacitando a profesionales y familiares para transmitir conocimiento y habilidades sostenibles a personas con Síndrome de Down [SUSKIDS]. Este Proyecto forma parte del Programa ERASMUS+ K2 Strategic Partnerships for School Education de la Unión Europea, liderado por el Grupo de Investigación en Ingeniería de la Edificación (GIIE) de la Universidad de Burgo
Hydrolysis of Lactose: Conventional Techniques and Enzyme Immobilization Strategies on Polymeric Supports
No full textThis chapter explores lactose hydrolysis, emphasizing conventional techniques
and the noteworthy immobilization of β-galactosidase on polymeric matrices to
enhance the process. Lactose, present in milk and dairy, poses challenges for lactoseintolerant
individuals, requiring enzymatic hydrolysis for lactose-free product development.
The presence of other milk components, such as proteins and minerals, can
indirectly influence the efficiency of lactose hydrolysis by potentially interacting with
β-galactosidase enzyme or affecting its stability and activity, making it necessary to
control factors such as enzyme concentration, temperature, pH, and reaction time to
improve lactose hydrolysis rates. The chapter delves into established methodologies,
covering enzymatic kinetics, reaction conditions, and substrate concentrations. It
also describes the innovative approach of immobilizing β-galactosidase on polymeric
supports to enhance enzyme stability, reusability, and overall efficiency in lactose
hydrolysis. Discussions include the design of suitable polymeric matrices, providing
insights into mechanisms governing catalytic performance. This comprehensive
exploration contributes to understanding lactose hydrolysis, offering valuable insights
for developing efficient and sustainable enzymatic processes applicable to the food
and pharmaceutical industries.We gratefully acknowledge the financial support provided by all funders. This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU PRTR. Author Saul Vallejos received grant BG22/00086 funded by the Spanish Ministerio de Universidades. Author Jose Miguel García received grant PID2020-113264RB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe,” The financial support provided by Fondo Europeo de Desarrollo Regional-European Regional Development Fund (FEDER, ERDF) and Regional Government of Castilla y León -Consejería de Educación, Junta de Castilla y León- (BU025P23) is gratefully acknowledged
Guide to apply CLIL in PE: a models based framework perspective
Get PDFThis guide presents some practical orientations with the aim to facilitate using the Content and Language Integrated
Learning (CLIL) approach in the Physical Education (PE) area. This document is divided into four sections. The first one
identifies the nature and basic characteristics of the CLIL in PE model. Next, the second section introduces 14 guiding
principles to apply CLIL in PE. In order to put these guiding principles into practice, the third section describes the PE CLIL
teacher profile as well as some teaching and learning implications together with examples to show practical
implementations. Finally, some frequently asked questions are answered and a glossary of specific terms is provided.
The ideas and orientations presented in this document compose an open guide and are conceived as a point of departure,
but every teacher is expected to adjust their implementation to the characteristics of their students, their specific context,
and their personal teacher profile. Therefore, this document does not aspire to emerge as a rigid instrument but as a
starting point. All in all, this guide has been developed by an interdisciplinary team whose research has set the base of the
orientations herein. At the end of the document several of these studies are listed to enable deepening on the topic of
CLIL in PE
Material suplementario 6: movimiento en pivote de vértebras cervicales
No full textSe examina el movimiento en pivote de dos vértebras cervicales, destacando movimientos como la rotación de la cabeza
Federated Discrete Reinforcement Learning for Automatic Guided Vehicle Control
Get PDFUnder the federated learning paradigm, the agents learn in parallel and combine their knowledge to build a global knowledge model. This new machine learning strategy increases privacy and reduces communication costs, some benefits that can be very useful for industry applications deployed in the edge. Automatic Guided Vehicles (AGVs) can take advantage of this approach since they can be considered intelligent agents, operate in fleets, and are normally managed by a central system that can run in the edge and handles the knowledge of each of them to obtain a global emerging behavioral model. Furthermore, this idea can be combined with the concept of reinforcement learning (RL). This way, the AGVs can interact with the system to learn according to the policy implemented by the RL algorithm in order to follow specified routes, and send their findings to the main system. The centralized system collects this information in a group policy to turn it over to the AGVs. In this work, a novel Federated Discrete Reinforcement Learning (FDRL) approach is implemented to control the trajectories of a fleet of AGVs. Each industrial AGV runs the modules that correspond to an RL system: a state estimator, a rewards calculator, an action selector, and a policy update algorithm. AGVs share their policy variation with the federated server, which combines them into a group policy with a learning aggregation function. To validate the proposal, simulation results of the FDRL control for five hybrid tricycle-differential AGVs and four different trajectories (ellipse, lemniscate, octagon, and a closed 16-polyline) have been obtained and compared with a Proportional Integral Derivative (PID) controller optimized with genetic algorithms. The intelligent control approach shows an average improvement of 78% in mean absolute error, 75% in root mean square error, and 73% in terms of standard deviation. It has been shown that this approach also accelerates the learning up to a 50 % depending on the trajectory, with an average of 36% speed up while allowing precise tracking. The suggested federated-learning based technique outperforms an optimized fuzzy logic controller (FLC) for all of the measured trajectories as well. In addition, different learning aggregation functions have been proposed and evaluated. The influence of the number of vehicles (from 2 to 10) on the path following performance and on network transmission has been analyzed too