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https://hdl.handle.net/20.500.14454/1637

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La activación de la Directiva de Protección Temporal 2001/55/CE para los refugiados ucranianos: un hecho aislado en el sistema de asilo de la UE
(Tirant lo Blanch, 2023) Abrisketa Uriarte, Joana
Actividades transversales entre materias de primer curso de grado y trabajo en equipo para aumentar la motivación del alumno
(Universidad de Zaragoza, Servicio de Publicaciones, 2021) Fonseca Escudero, David ; Necchi, Silvia; Aláez, Marian ; Romero Yesa, Susana; Centeno Hernández, Efraim
Motivar al alumno de primer curso de grado, no solo mejora su grado de satisfacción y su rendimiento, sino que puede prevenir el riesgo de abandono temprano de los estudios. En este sentido, para potenciar la motivación se antoja como estrategia importante trabajar las competencias específicas desde un abordaje transversal, menos específico y que permita al alumno vislumbrar las potencialidades de sus estudios y de sus relaciones entre iguales. El presente artículo muestra el resultado de dos actividades transversales realizadas en el primer curso del grado de Estudios en Arquitectura, donde el trabajo en equipo es esencial para su entrega. Los resultados han permitido identificar tanto fortalezas como debilidades de cada práctica gracias a su enfoque mixto (cuantitativo / cualitativo), lo que permitirá un rediseño de las actividades para el siguiente curso.
Adaptability and efficiency in population management: a multi-population CMA-ES strategy for high-dimensional optimization
(Elsevier B.V., 2024) Morales Castañeda, Bernardo; Rodríguez Esparza, Erick; Oliva, Diego; Navarro, Mario A.; Aranguren, Itzel; Casas Ordaz, Ángel; Beltran, Luis A.; Zapotecas Martínez, Saúl
In the context of evolutionary algorithms, having the ability to adapt to any search space within an optimization problem is an essential task. Appropriately adapting the population can lead to better solutions and more efficient use of function call resources. This article presents a renewed approach to population management inspired by modifying the well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm. The proposed strategy aims to improve the algorithm's population adaptability to the search space and optimize function evaluations. Statistically evaluated experimental test outcomes demonstrate significantly better performance on high-dimensional problems in comparison to the original CMA-ES and seven other known evolutionary algorithms in the literature.
Adulterio, honor y divorcio: las criadas de los territorios históricos vascos en el siglo XVIII
(Fundación Española de Historia Moderna, 2023) Intxaustegi Jauregi, Nere Jone
El objetivo de esta comunicación es el estudio de la criada en un ámbito muy concreto: los procesos de divorcio. Por una parte, se tendrá en cuenta el papel quelas criadas jugaron como testigos en los procesos de divorcio que llevaron a cabo los señores de la casa en la que llevaban a cabo sus labores del hogar. Y, por otra parte, también se verán casos en los que las propias criadas fueron las protagonistas de los divorcios, después de que los esposos hubieran solicitado el fin de la convivencia marital. Así, estos casos nos permitirán ver los lazos de unión que existían en la comunidad, qué podía romperlos, y cuáles podían ser las consecuencias. Todo ello estaba estrechamente relacionado con los ideales de honor y adulterio de aquella época. Para eso, se utilizarán diversos ejemplos de divorcio que tuvieron lugar en el siglo XVIII en los territorios de Álava, Guipúzcoa y Vizcaya, y que se encuentran en los archivos de los obispados de Calahorra y Pamplona.
Ajustes y desajustes en las prestaciones de seguridad social para con las personas trabajadoras a tiempo parcial
(Laborum, 2024-10-20) Arrieta Idiakez, Francisco Javier
Las alarmas en el inicio de las relaciones de pareja
(Asociación Multidisciplinar de Investigación Educativa. AMIE, 2023) Rosales Reguera, Elena; Sarrionandia Jayo, María; Marauri Ceballos, Jesús ; Peña Guinea, Patricia
A través de esta investigación se han analizado las relaciones de pareja y su calidad. Con ello se ha llegado a la conclusión de que somos capaces de identificar la calidad de la relación desde el inicio de la misma, y, por lo tanto, podemos decidir iniciarla o no. Además, se observa que el discurso coercitivo aparece al inicio de la relación. Sin embargo, los resultados apuntan a la posibilidad de decidir y elegir esa relación. Para llevar a cabo esta investigación hemos realizado más de cuarenta entrevistas. Además, en las entrevistas realizadas se han respetado los principios éticos que garantizan la confidencialidad de los datos de las personas entrevistadas.
Análisis crítico de la protección del nómada digital: entre precariedad y privilegio digital
(Laborum, 2024-10-20) Martínez Martínez, Irene
Analysing the impact of images and text for predicting human creativity through encoders
(Science and Technology Publications, Lda, 2025) Pikatza Huerga, Amaia; Matanzas de Luis, Pablo; Fernandez De Retana Uribe, Miguel; Peña Lasa, Javier; Zulaika Zurimendi, Unai; Almeida, Aitor
This study explores the application of multimodal machine learning techniques to evaluate the originality and complexity of drawings. Traditional approaches in creativity assessment have primarily focused on visual analysis, often neglecting the potential insights derived from accompanying textual descriptions. The research assesses four target features: drawings’ originality, flexibility and elaboration level, and titles’ creativity, all labelled by expert psychologists. The research compares different image encoding and text embeddings to examine the effectiveness and impact of individual and combined modalities. The results indicate that incorporating textual information enhances the predictive accuracy for all features, suggesting that text provides valuable contextual insights that images alone may overlook. This work demonstrates the importance of a multimodal approach in creativity assessment, paving the way for more comprehensive and nuanced evaluations of artistic expression.
Analytical fractional reduced-order model identification method for processes with overdamped and underdamped response
(Elsevier B.V., 2024) Gude, Juan José; Baraldi, Flavia B.; Oleagordia Ruiz, Ibon; García Bringas, Pablo
In this paper, an analytical procedure to identify a fractional-first order plus dead time (FFOPDT) model is presented. This procedure is applied to processes with overdamped or underdamped step response, i.e., fractional order values in the range 0.5 ≤ α ≤ 2.0 can be estimated. The required process information is obtained through a simple open-loop step experiment and is based on fitting three arbitrary points (x1-x2-x3%) on the process reaction curve. Some numerical examples are proposed to show the effectiveness and applicability of this procedure for the identification of fractional-order models. The main feature of this approach is that it estimates the FFOPDT model of overdamped and underdamped processes.
Architecture for WSN nodes integration in context aware systems using semantic messages
(Springer, 2010) Larizgoitia, Iker; Muguira Urtubi, Leire; Vazquez, Juan-Ignacio
Wireless sensor networks (WSN) are becoming extremely popular in the development of context aware systems. TraditionallyWSN have been focused on capturing data, which was later analyzed and interpreted in a server with more computational power. In this kind of scenario the problem of representing the sensor information needs to be addressed. Every node in the network might have different sensors attached; therefore their correspondent packet structures will be different. The server has to be aware of the meaning of every single structure and data in order to be able to interpret them.Multiple sensors, multiple nodes, multiple packet structures (and not following a standard format) is neither scalable nor interoperable. Context aware systems have solved this problem with the use of semantic technologies. They provide a common framework to achieve a standard definition of any domain. Nevertheless, these representations are computationally expensive, so a WSN cannot afford them. The work presented in this paper tries to bridge the gap between the sensor information and its semantic representation, by defining a simple architecture that enables the definition of this information natively in a semantic way, achieving the integration of the semantic information in the network packets. This will have several benefits, the most important being the possibility of promoting every WSN node to a real semantic information source. © 2010 ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.
La autopercepción de la competencia emprendedora de futuros maestros/as de educación primaria
(REDINE (Red de Investigación e Innovación Educativa), 2022) Benitez, Estibaliz; Arruti, Arantza
La investigación sobre la competencia emprendedora en el ámbito educativo está en pleno desa-rrollo, sobre todo desde que en el 2006 el Parlamento Europeo y el Consejo de la Unión Europea(2006) destacaran la competencia emprendedora como una de las ocho competencias clave para laformación permanente. Ejemplo de ello es la publicación de los marcos europeos de la competenciaemprendedora EntreComp (Bacigalupo et al., 20016) y EntreCompEdu (Grigg, 2020). Su objetivo noes otro que el de dotar a las personas, entre ellas al profesorado de los distintos niveles educativos, deun amplio abanico de competencias clave que contribuyan al desarrollo personal, la inclusión social, laciudadanía activa y el empleo. El presente estudio parte de la necesidad de formar al futuro profeso-rado emprendedor o teacherpreneur (Arruti et al., 2021). Su objetivo es elaborar un cuestionario quepermita evaluar la autopercepción de la competencia emprendedora (subcompetencias conocimientoy conciencia emprendedora, y evaluación de EntreCompEdu) del futuro profesorado de educaciónprimaria. Tras elaborar el cuestionario y someterlo a un juicio de expertos, se envía al alumnado dedistintas promociones del grado en educación primaria de la Universidad de Deusto (304 sujetos). Sereciben 182 respuestas (60%) y se concluye que con una confianza del 95% y un margen de errordel 5%, la muestra resulta ser representativa. Entre los resultados obtenidos destacan los siguientes:media significativamente superior en la subcompetencia conocimiento y conciencia emprendedora delalumnado de promociones antiguas frente al del actual curso académico; influencia significativa del gé-nero, que no de la promoción, del alumnado en ambas subcompetencias, siendo más alta en las muje-res que en los hombres; desconocimiento de un 85.2% de la muestra de la existencia de EntreComp yEntreCompEdu; y, conocimiento por parte de tan solo un 28% de los encuestados de la finalidad y losbeneficios de la educación emprendedora. Sigue llamando la atención que haya alumnos/as (12,6%)que afirman que no evaluarán las competencias emprendedoras o que creen que el profesorado nodeba hacerlo. Estos resultados nos permiten seguir insistiendo en la necesidad de incluir la competen-cia emprendedora en los planes de estudios del grado en educación primaria, como se ha hecho enla nueva ley educativa española.
Berri corpus manager: a corpus analysis tool using MongoDB technology
(IOS Press BV, 2020-09-15) Sanjurjo González, Hugo
Nowadays, there are many options for corpus linguistic analysis that make use of different approaches for corpus storage. There are tools based on SQL databases, dedicated implementations such as CQP/CWB and others that employ plain-text corpora. NoSQL databases have been widely used for big data, data mining and even sentiment analysis. However, as far as we can see, there is a lack of a widespread concordancer or consolidated framework that makes use of MongoDB architecture for the purposes of corpus linguistics. This paper aims to describe the architecture of a software that allows users to analyse monolingual and bilingual parallel corpora with grammatical annotation using MongoDB technology. Our premises are that MongoDB is ideal for non-structured data and provides high flexibility and scalability, so it may be also useful for corpus linguistic research. We analyse functionalities of MongoDB such as text search indexes and query format in order to examine its suitability.
Bularreko minbizi diagnostikoaren ostean, aukera kirurgikoen aurrean erabakiak hartzeko prozesuaren deskribapena
(Udako Euskal Unibertsitatea, UEU = Universidad Vasca de Verano, 2025-05-30) Lozano Real, Garbiñe; Ollé Gonzalez, Júlia; Araolaza Arrieta, Maialen; Lamarain Altuna, Maider; Ondarra Zubeldia, Olalla; Canet Vélez, Olga; Arbillaga Etxarri, Ane
Bularreko minbiziaren tratamendu kirurgikoen aurrean erabakitze prozesua deskribatzea da lan honen helburu nagusia. Horretarako, euskal autonomia erkidegoko hiru lurraldeetako emakumeen datuak jaso ziren, guztira 135. Azterketaren aldagai nagusia erabakitze prozesua izanda, Shared Decision Making (SDM-Q-9) eta i-SHARE baliozkotutako galdetegiak erabili ziren. Horietaz gain, euren autopertzepzioa kontuan izateko, eta partehartzaileen ezaugarri sozioekonomikoak ezagutzeko, ad-hoc galderak erabili ziren. Emaitzei dagokienez, erabakiaren kalitatearen autopertzepzio baxua erakutsi dute datuek, eta kirurgia motaren arabera prozesua ezberdin baloratzen dela ere. Bularreko minbizi diagnostikoa jasotzen duten emakumeen, eta kirurgia egitea erabakitzen den horretan, hartutako erabakietan eragile ezberdinek duten inplikazioa oraindik gehiago aztertzea beharrezkoa da
Cenas familiares como factor de protección en situaciones de conflicto interparental
(Asociación Aragonesa de Psicopedagogía, 2023) Crespo Méler, María; Martínez Pampliega, Ana; Mónaco Gerónimo, Estefanía ; Aguinaga San José, Íñigo
La literatura sobre el impacto del divorcio ha puesto de relieve el importante impacto que este proceso tiene en los hijos e hijas. Dado el gran número de familias divorciadas y el gran número de niños y niñas que pasan por este proceso cada año, se necesita más investigación sobre los factores de protección que favorecen la adaptación de los hijos/as. Este es el objetivo de este estudio, que pretende comprobar el papel protector de las cenas y comidas familiares y su impacto en la resiliencia familiar. Se espera que, mientras que el conflicto interparental se asocia con un mayor malestar emocional en los hijos/as, las cenas y la resiliencia familiar desempeñen un papel protector y se asocien negativamente. En el estudio participaron 547 adolescentes de entre 10 y 18 años del País Vasco, de los cuales un 52.8% (n=289) fueron chicas y un 45,9% (n=251) fueron chicos, procedentes de centros educativos de diferente titularidad. Los resultados apoyaron las hipótesis empleadas. El conflicto se relaciona negativamente tanto con el malestar de los hijos/as como con el mantenimiento de las cenas familiares. Sin embargo, aquellas familias que valoraron más positivamente el tiempo disponible para estas rutinas fueron las que mostraron mayor resiliencia y, a su vez, menor malestar en sus hijos/as. Por tanto, los resultados enfatizan los múltiples beneficios de seguir respetando estos espacios para favorecer la cohesión familiar, en la medida en que se convierten en un factor protector ante situaciones difíciles como son la exposición a conflictos interparentales.
Collaborative Robots in e-waste management
(Elsevier B.V., 2017) Álvarez de los Mozos, Esther; Rentería Bilbao, Arantxa
Nowadays manufacturing companies are going through an increasing public and government pressure to reduce the environmental impact of their operations. But when dealing with e-waste, some difficulties arise in classifying and dismantling electronic devices. Manual operations are financially prohibitive and full automation is also discarded due to the lack of uniformity of the disposed devices. A halfway solution is to let a human operator and a robot share the process. The goal of this research is the optimization of the recycling process of electronic equipments, applying both technical and economic criteria, and taking into account the latest developments in collaborative robots.
Connections between a tourist destination, the digital ecosystem, and ICT actors
(Springer Nature, 2024) Alzua Sorzabal, Aurkene; Herasimovich, Volha; Guereño-Omil, Basagaitz; Thiel-Ellul, Daniela
The tourism sector and tourist destinations are undergoing a digital transition in order to improve their resilience and competitiveness. The way in which tourist destinations address this digital transition differs, as some incorporate more technology in their ecosystem than others, giving rise to the emergence of different types of digital tourism networks. This study seeks to determine the different ways in which a tourist destination connects with a digital ecosystem, specifically focusing on the connections with ICT actors. It is based on the theoretical framework of tourism as an ecosystem. Using web crawling, network data have been compiled on 670 tourism actors and more than 36,000 websites to which they are connected through hyperlinks. The most frequently linked entities of the discovered digital ecosystem have been identified and classified (n = 447), distinguishing between 13 types of ICT actors. The results show how the online destination network has been incorporated into the digital ecosystem. The study reveals that the configuration of the digital ecosystem surrounding a tourist destination is characterised by the different levels of importance for the network of destination actors in which the ICT actors play a central role.
Consideraciones generales sobre la Mediación Civil y Mercantil, a próposito de la Ley 5/2012, de 6 de julio, de Mediación en Asuntos Civiles y Mercantiles
(J.M. Bosch, 2014) Larena Beldarrain, Javier
Cross-generational perceptions on climate change: resolutive insights from youth and elder
(Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2024) Divasson Jaureguibarria, Asier; Quesada Granja, Carlos; Casado Mansilla, Diego; Cubillo Eguizabal, Iker; Aguayo Mendoza, Armando; Borges Hernández, Cruz E.
In a world increasingly dominated by conversations about climate change, this research delves deeper, exploring the disconnect between widespread awareness and the implementation of concrete actions to mitigate global warming and adapt to the energy transition. The study investigates this gap by focusing on the concerns of two distinct demographic groups: teenagers and adults. Conceived during the Zientzia Azoka event and developed through other events and sessions, the project actively engaged over 131 participants in a series of workshops. These participants spanned various age groups: 16 individuals under the age of 18, 110 adults between 18 and 65 years old, and 5 adults over 65 years old. The workshops employed qualitative methods, presenting participants with a range of potential climate crisis scenarios encompassing environmental challenges, energy shortages, and mobility restrictions. These scenarios explored situations such as insufficient renewable energy development leading to electricity shortages, extreme weather events causing food scarcity, and disruptions to travel due to fuel shortages. Participants’ responses to these scenarios were then subjected to a process of semi-quantification, enabling a more nuanced analysis of their concerns. The analysis revealed not only a clear awareness of these impending challenges among both teenagers and adults, but also a recognition of the substantial barriers hindering proactive solutions. These barriers encompassed economic constraints, a perceived lack of general awareness about the gravity of the situation, and the ever-evolving social landscape shaped by recent global events like the COVID-19 pandemic and the war in Ukraine. However, amidst these anxieties, a glimmer of hope emerged. Participants identified a potential shift in societal behavior, possibly driven by these very crises. Thematic analysis of their responses revealed a strong emphasis on the crucial role of sufficiency in mitigating climate change. This highlights the importance of reducing consumption and waste rather than solely relying on technological advancements as the solution. Additionally, peer influence was recognized as a significant force in shaping attitudes and behaviors, suggesting a powerful avenue for promoting positive change. The political dimension of climate action also came into sharp focus. Participants demonstrated a sophisticated understanding of the complexities surrounding political processes and the challenges they present. They emphasized the need for clear and effective communication from political leaders, while acknowledging concerns about political motivations and the influence of special interest groups. This underscores the intricate relationship between politics, media, and public perception, highlighting the need for a multi-faceted approach to climate communication.
Data analytics in organic farming: impact on environmental sustainability
(Academic Conferences and Publishing International Limited, 2022-08-25) Paz-Castillo, Cristhian; Sáenz Martínez, Josune; Ortiz de Guinea, Ana
The production of healthy food while preserving the environment constitutes one of the main challenges of the 21st century. Along these lines, organic farming has emerged as a farm management and food production system that encourages environmental sustainability. To enhance such sustainability, data analytics both as an asset and as a capability could play a substantial role. Indeed, data analytics could be used to interpret the past and predict the future and to make more timely or accurate decisions regarding the use and protection of natural resources. Using survey data from 119 Spanish organic farms whose digitization degree as reported by the farmer is above 0, and structural equation modeling based on partial least squares to test research hypotheses, we found that even though data analytics in organic farming is clearly underdeveloped, it still contributes to enhancing farms’ environmental sustainability. Thus, investments in environmental data analytics appear to pay off.
A data-driven model for the analysis of energy consumption in buildings
(EDP Sciences, 2024-05-07) Borgato, Nicola; Prataviera, Enrico; Bordignon, Sara; Garay Martínez, Roberto; Zarrella, Angelo
Data-driven models are gaining traction in Building Energy Simulation, driven by the increasing role of smart metering and control in buildings. This paper aims to enhance the knowledge in this sector by introducing a practical method to analyse heating consumption. The methodology involves the analysis of hourly total heating demand and outdoor temperature measurements to create and calibrate Energy Signature Curves. Importantly, the building Energy Signature Curve is calibrated independently for each daily hour, resulting in a subset of 24 data-driven models. After calibration, a disaggregation algorithm is proposed to distinguish space heating from domestic hot water usage. The method also evaluates the building's thermal inertia, examining the correlation between the hourly global energy consumption and the outdoor air temperature moving average. It also presents a methodology for improving the DHW heat consumption model. The methodology is applied to a case study of 51 buildings in Tartu, Estonia, with complete yearly demand measurements from the district heating operator. Thanks to the hourly calibration approach, R2 is 0.05 higher on average than the yearly Energy Signature Curve approach. The difference between estimated and measured annual energy consumption is 8% on average, demonstrating the practicality and effectiveness of the proposed method.

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