Artículos de revista DEIM - EIMS Aldizkari artikuluak

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Open Access
From math aversion to effective integration: theoretical framework for building quantitative skills in Economics and Business students
(Elsevier, 2025-05-14) Rodríguez Rincón, Yeray; Munárriz Iriarte, Ana; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute for Advanced Research in Business and Economics - INARBE
This study proposes a novel theoretical framework that systematically integrates the cognitive-affective factors evidenced in academic literature-math anxiety, math self-efficacy, math identity, and perceived mathematical utility-which enhance the development of quantitative skills (QS) in Economics and Business students. The proposed framework structures a progression based on four formative developmental stages: Identification, Recognition, Transfer, and Integration. To facilitate practical application, a self-assessment tool characterizes and diagnoses each student's QS development level. Additionally, a set of instructional strategies based on existing literature supports the design of targeted didactic interventions, fostering resilience, confidence, and engagement with quantitative methods. Both the theoretical framework and the self-assessment tool have been validated by an expert panel using the Modified Delphi Method. The panel of experts confirmed the clarity and coherence of the proposed model as a tool for diagnosing QS development and guiding effective instructional interventions. Beyond its classroom application, this model serves as a foundation for curriculum design, offering a theoretical framework to support the structuring of pathways for the progressive development of quantitative skills throughout the academic journey. By addressing both cognitive and affective factors, this study contributes to an innovative approach that helps bridge the gap between theoretical research and practical implementation.
Open Access
Electric plasma guided with ultrasonic fields
(American Association for the Advancement of Science, 2025-02-05) Irisarri Erviti, Josu; Ezcurdia Aguirre, Íñigo Fermín; Iriarte Cárdenas, Naroa; Sirkka, Marika; Nikolaev, Dmitry; Mäkinen, Joni; Martinez-Marchese, Alexander; Iablonskyi, Denys; Salmi, Ari; Marzo Pérez, Asier; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC
Electric plasma forms sparks in midair that transfer electrical current. This current can power high-voltage electronics, kill bacteria, produce tactile sensations, or be used for welding. However, the formation of the spark is chaotic and hard to control. Laser pulses can guide discharges but require high power and are disruptive and cumbersome to control. Here, we show that ultrasonic fields can guide plasma sparks, even around obstacles. The ultrasonic beams can be directed dynamically and within milliseconds, enabling precise, nondangerous, and fast control of high-voltage sparks. This phenomenon can be used for applications in high-voltage switching and plasma treatments.
Open Access
Towards a heat-resistant tethered micro-aerial vehicle for structure fire sensing
(MDPI, 2025-02-23) Aláez Gómez, Daniel; Prieto Míguez, Manuel; Villadangos Alonso, Jesús; Astrain Escola, José Javier; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Gobierno de Navarra / Nafarroako Gobernua
The collapse of structures during firefighter intervention is one of the greatest risks that firefighters must face when entering buildings. To reduce these risks, situational awareness is key. Although many advances have already been developed in wildland and outdoor fires, there is still room for improvement in structure fires. The development of a heat-resistant micro-aerial vehicle for indoor fires poses a series of challenges such as component cooling, battery management, and protection from impacts. In this paper, a heat-resistant tethered micro-aerial vehicle is designed, modeled through thermal analysis, and successfully tested in real-world conditions. This platform has been equipped with a micro-sized thermal sensing camera and first-person-view (FPV) camera, optimized for thermal management, to allow for situational awareness in structure fires.
Open Access
Two-generation of traceless matrices over finite fields
(Elsevier, 2025-05-17) Cantor, Omer; Jezernik, Urban; Zozaya, Andoni; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
We prove that the Lie algebra sln(Fq) of traceless matrices over a finite field of characteristic p can be generated by 2 elements with exceptions when (n,p) is (3,3) or (4,2). In the latter cases, we establish curious identities that obstruct 2-generation.
Open Access
On generalized overlap and grouping indices in n-dimensional contexts
(Springer, 2025-05-08) Asmus, Tiago da Cruz; Dimuro, Graçaliz Pereira; Lucca, Giancarlo; Marco Detchart, Cedric; Santos, Helida; Camargo, Heloisa A.; Bustince Sola, Humberto; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
Overlap and grouping indices are functions measuring, respectively, the fuzzy intersection and fuzzy union of two fuzzy sets. They have been applied successfully in several fields, such as in interpolative fuzzy systems, fuzzy rule-based classification systems and comparison of fuzzy inference rules. Overlap and grouping indices can be built employing overlap and grouping functions, respectively, which are possibly non-associative aggregation functions with features that provide good results when applied to practical bivariate problems. Many studies have generalized the concepts of overlap and grouping functions to be applied in n-dimensional problems. However, the concepts of overlap/grouping indices have not been generalized in similar pattern. Since the associative property may not hold, their application in n-dimensional domains, for comparing more than two fuzzy sets at a time, is not immediate, which limit their application in such contexts. The objective of this paper is to introduce the concepts of n-dimensional and general overlap/grouping indices, with special attention to the development of their construction methods based on generalized overlap/grouping functions. As an application example, we introduce the concept of n-dimensional Jaccard index, with a construction method based on n-dimensional overlap/grouping indices, providing an n-dimensional fuzzy set similarity score.
Open Access
A comparative study of CO2 forecasting strategies in school classrooms: a step toward improving indoor air quality
(MDPI, 2025-03-09) Garcia-Pinilla, Peio; Jurío Munárriz, Aránzazu; Paternain Dallo, Daniel; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Gobierno de Navarra / Nafarroako Gobernua
This paper comprehensively investigates the performance of various strategies for predicting CO2 levels in school classrooms over different time horizons by using data collected through IoT devices. We gathered Indoor Air Quality (IAQ) data from fifteen schools in Navarra, Spain between 10 January and 3 April 2022, with measurements taken at 10-min intervals. Three prediction strategies divided into seven models were trained on the data and compared using statistical tests. The study confirms that simple methodologies are effective for short-term predictions, while Machine Learning (ML)-based models perform better over longer prediction horizons. Furthermore, this study demonstrates the feasibility of using low-cost devices combined with ML models for forecasting, which can help to improve IAQ in sensitive environments such as schools.
Open Access
The K-in-a-row design as a semi-Markov process
(2025) Flournoy, Nancy; Oron, Assaf; Moler Cuiral, José Antonio; Sada Allo, Maider; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
Estimating the value of a stimulus variable that has a prespecified percentage of successes is common in many fields, and known generally as “dose-finding”. In most practical applications, only a few values of the stimuli can be applied to the statistical units that participate in the experiment. K-in-a-Row Up-and-Down is a popular experimental procedure that sequentially allocates statistical units to the permissible values of a stimulus variable, using simple invariant rules. Despite having been in use for 60 years, K-in-a-Row’s statistical properties are still not broadly understood. We show that it is naturally modeled by a semi-Markov process, and as far as we know it is the first stochastic design to appear as such. The stationary distribution is characterized assuming only that the success probability increases with the values of the stimuli. We prove the strong unimodality of the asymptotic distribution of the proportions of stimuli specific allocations. Thus the mode of the stimuli-specific allocation serves as a summary measure of location for these designs, and we explicitly identify it. We also show how design parameters can be chosen to locate the stationary distribution over the percentile of interest.
Open Access
Effects of time-restricted eating and resistance training on skeletal muscle tissue quantity, quality and function in postmenopausal women with overweight or obesity: a study protocol
(Elsevier, 2024-12-30) Alfaro-Magallanes, Víctor Manuel; Medrano Echeverría, María; Echarte Medina, Jon; Osés Recalde, Maddi; Izquierdo Rodríguez, Claudia; Concepción Álvarez, Mara de la Caridad; Galbete Jiménez, Arkaitz; Idoate, Fernando; Zugasti Murillo, Ana; Petrina Jáuregui, María Estrella; Goñi Gironés, María Elena; Ribelles, María Jesús; Amasene, María; Arenaza Etxeberría, Lide; Tejada Garrido, Clara Isabel; Elejalde, E.; Azcárate Jiménez, Unai Xabier; Ruiz Sarrias, Oskitz; Sayar-Beristain, Onintza; García-Ramos, Amador; Martínez Labari, Cristina; Armendáriz Brugos, Cristina; Villanueva Larre, Arantxa; Ruiz, Jonatan R.; Cabeza Laguna, Rafael; Labayen Goñi, Idoia; Ciencias de la Salud; Osasun Zientziak; Institute of Smart Cities - ISC; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD
Background & aims: time-restricted eating (TRE) shows promise for weight loss and improving menopauserelated body composition and cardiometabolic health, but its effects on skeletal muscle tissue (SMT) in postmenopausal women are unknown. This study investigates the effects of three weight loss interventions over 12 weeks on SMT quantity, quality, function, and cardiometabolic health in postmenopausal women with overweight/obesity, with effects persistence evaluated at a 12-month follow-up. Methods and results: in this randomized controlled trial, 78 postmenopausal women (50–65 years; BMI 25–40 kg/m2; sedentary lifestyle; eating window ≥12 h/day; no severe metabolic impairments) will be recruited. Participants will be randomly assigned to one of three groups for 12 weeks: TRE, TRE + resistance training, or CR + resistance training. The TRE groups will reduce their eating window to 8 h and receive nutritional advice to adhere to a Mediterranean diet. The CR group will follow a personalized hypocaloric diet (− 500 kcal/day). Resistance training groups will perform supervised resistance training 3 times/week. Primary Outcome: Change in SMT quantity measured by MRI at baseline and after 12 weeks. Secondary Outcomes: intermuscular adipose tissue (IMAT), strength, power, body weight and composition, and cardiometabolic risk factors. Conclusion: this study will illustrate the effects of TRE and TRE combined with resistance exercise compared with the currently recommended obesity-lifestyle treatment on SMT quantity, quality, function, and cardiometabolic markers. The results will offer insights into dietary strategies to combat obesity and metabolic diseases without increasing sarcopenia risk in postmenopausal women, a sparsely studied and particularly affected population.
Open Access
A reliability-extended simheuristics for the sustainable vehicle routing problem with stochastic travel times and demands
(Springer, 2025-04-01) Abdullahi, Hassana; Reyes-Rubiano, Lorena Silvana; Ouelhadj, Djamila; Faulín Fajardo, Javier; Juan, Ángel A.; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
Real-life transport operations are often subject to uncertainties in travel time or customers'demands. Additionally, these uncertainties greatly impact the economic, environmental, and social costs of vehicle routing plans. Thus, analysing the sustainability costs of transportation activities and reliability in the presence of uncertainties is essential for decision makers. Accordingly, this paper addresses the Sustainable Vehicle Routing Problem with Stochastic Travel times and Demands. This paper proposes a novel weighted stochastic recourse model that models travel time and demand uncertainties. To solve this challenging problem, we propose an extended simheuristic that integrates reliability analysis to evaluate the reliability of the generated solutions in the presence of uncertainties. An extensive set of computational experiments is carried out to illustrate the potential of the proposed approach and analyse the influence of stochastic components on the different sustainability dimensions.
Open Access
Personalized cognitive support via social robots
(MDPI, 2025-01-31) Rincón Arango, Jaime Andrés; Marco Detchart, Cedric; Julian, Vicente; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
This paper explores the use of personalized cognitive support through social robots to assist the elderly in maintaining cognitive health and emotional well-being. As aging populations grow, the demand for innovative solutions to address issues like loneliness, cognitive decline, and physical limitations increases. The studied social robots utilize machine learning and advanced sensor technology to deliver real-time adaptive interactions, including cognitive exercises, daily task assistance, and emotional support. Through responsive and personalized features, the robot enhances user autonomy and improves quality of life by monitoring physical and emotional states and adapting to the needs of each user. This study also examines the challenges of implementing assistive robots in home and healthcare settings, offering insights into the evolving role of AI-powered social robots in eldercare.
Open Access
Fast calculation methods for the magnetic field of particle lattices
(AIP Publishing, 2025-02-14) Royo Silvestre, Isaac; Gandía Aguado, David; Beato López, Juan Jesús; Garayo Urabayen, Eneko; Gómez Polo, Cristina; Ciencias; Zientziak; Institute for Advanced Materials and Mathematics - INAMAT2; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
With the rise of 3D printing and composite materials, components comprising dispersed magnetic particles have become more interesting due to the possibility to design magnetic elements of any shape with varying amounts of the actual magnetic material. However, quick and easy calculation methods are needed to design these components enabling the selection of the optimum required percentage of magnetic particles (millimeter parts contain billions of micro-sized particles). This work proposes a semi-analytical iterative method for the estimation of the magnetic field generated by magnetic composites formed by embedded magnetic particles. The model is compared in terms of accuracy and calculation speed with finite element analysis and the average magnetization model of the magnetic composite. The results are finally supported by the comparison with experimental measurements of the weak magnetic field generated by a magnetic particle lattice.
Open Access
From artificial intelligence to digital humanities
(Eusko Ikaskuntza-Sociedad de Estudios Vascos, 2022) Bustince Sola, Humberto; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
En este trabajo discutimos la noción de inteligencia artificial, algunos de sus logros recientes, sus limitaciones y cómo puede y debe contemplarse junto a las humanidades, a través de la nueva noción de humanidades digitales.
Open Access
Análisis espacio-temporal de los accidentes mortales con tractor en España durante el período 2010-2019
(Interempresas Media, 2023) Arazuri Garín, Silvia; Ibarrola, Alicia; Mangado Ederra, Jesús; Adin Urtasun, Aritz; Arnal Atarés, Pedro; López Maestresalas, Ainara; Jarén Ceballos, Carmen; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Ingeniería; Ingeniaritza
El sector agrario y el de la construcción son los que presentan los índices de incidencia de accidentes de trabajo mortales más altos de nuestro país, según los datos recogidos por el Instituto Nacional de Seguridad y Salud en el Trabajo (INSST) (2021) dependiente del Ministerio de Trabajo y Economía Social (Cirauqui, 2022). Si tenemos en cuenta la evolución de estos índices, el sector agrario es el único que no ha mejorado dicho índice desde la aparición de la Ley 31/1995 de prevención de riesgos laborales y su siniestralidad continúa aumentando (Fundación Mapfre 2020). Pero, ¿qué ocurre cuando el accidente lo sufren personas que no encajan en la definición legal de trabajador? Estos accidentes no son considerados 'accidente de trabajo' y, por tanto, escapan a todas las estadísticas y datos oficiales del INSST. Este suele ser el caso de muchos accidentes que sufren personas jubiladas, menores de 16 años, familiares colaboradores, etc. que no son personas vinculadas a la actividad laboral tal y como se define en la legislación. Según Arana et al. (2010) de un total de 388 accidentes mortales ocurridos en España con maquinaria agrícola durante los años 2004-2008, solamente el 61,85% de ellos tuvieron carácter oficial. Las personas mayores fueron el sector de la población con un mayor riesgo, seguidos de los niños y las personas ajenas al sector agrario. La mayoría de las muertes fueron debidas al vuelco de tractores sin estructuras de protección.
Open Access
Data stream clustering: introducing recursively extendable aggregation functions for incremental cluster fusion processes
(IEEE, 2025-03-07) Urío Larrea, Asier; Camargo, Heloisa A.; Lucca, Giancarlo; Asmus, Tiago da Cruz; Marco Detchart, Cedric; Schick, L.; López Molina, Carlos; Andreu-Pérez, Javier; Bustince Sola, Humberto; Dimuro, Graçaliz Pereira; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC
In data stream (DS) learning, the system has to extract knowledge from data generated continuously, usually at high speed and in large volumes, making it impossible to store the entire set of data to be processed in batch mode. Hence, machine learning models must be built incrementally by processing the incoming examples, as data arrive, while updating the model to be compatible with the current data. In fuzzy DS clustering, the model can either absorb incoming data into existing clusters or initiate a new cluster. As the volume of data increases, there is a possibility that the clusters will overlap to the point where it is convenient to merge two or more clusters into one. Then, a cluster comparison measure (CM) should be applied, to decide whether such clusters should be combined, also in an incremental manner. This defines an incremental fusion process based on aggregation functions that can aggregate the incoming inputs without storing all the previous inputs. The objective of this article is to solve the fuzzy DS clustering problem of incrementally comparing fuzzy clusters on a formal basis. First, we formalize and operationalize incremental fusion processes of fuzzy clusters by introducing recursively extendable (RE) aggregation functions, studying construction methods and different classes of such functions. Second, we propose two approaches to compare clusters: 1) similarity and 2) overlapping between clusters, based on RE aggregation functions. Finally, we analyze the effect of those incremental CMs on the online and offline phases of the well-known fuzzy clustering algorithm d-FuzzStream, showing that our new approach outperforms the original algorithm and presents better or comparable performance to other state-of-the-art DS clustering algorithms found in the literature.
Open Access
Effects of game-based interventions on functional capacity in acutely hospitalised older adults: results of an open-label non-randomised clinical trial
(Oxford University Press, 2022-01-23) Cuevas Lara, César; López Sáez de Asteasu, Mikel; Ramírez Vélez, Robinson; Izquierdo Redín, Mikel; Zambom Ferraresi, Fabíola; Antoñanzas Valencia, Cristina; Galbete Jiménez, Arkaitz; Zambom Ferraresi, Fabrício; Martínez Velilla, Nicolás; Ciencias de la Salud; Osasun Zientziak; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Gobierno de Navarra / Nafarroako Gobernua
Background: Hospitalisation-associated disability due to reduced physical activity levels and prolonged bedrest episodes are highly prevalent in older adults. Objective: To assess the effect of gamified interventions on functional capacity in hospitalised older adults. Methods: A three-armed non-randomised controlled trial with two experimental intervention groups and a control group was conducted in a tertiary public hospital in Navarre, Spain. Participants were allocated to a simple gamification group (SGG) (n = 21), a technology-based gamification group (TGG) (n = 23) or a control group (CG) (n = 26). The end points were changes in functional capacity, muscle strength, cognition, mood status and quality of life. Results: Seventy patients (mean age 86.01 ± 4.27 years old) were included in the study; 29 (41.4%) were women. At discharge, compared to CG, a mean increase of 1.47 points (95%CI, 0.15–2.80 points) and 2.69 points (95%CI, 1.32–4.06 points) was observed (SGG and TGG, respectively) in the SPPB test; as well as an increase of 5.28 points (95%CI, 0.70–9.76 points) in the Barthel Index and 2.03 kg (95%CI, 0.33–3.72 kg) in handgrip strength in the TGG. Regression mediation analyses demonstrated that muscle strength changes (β = 1.30; 95%CI, 0.45–2.14; indirect effect 0.864; 95%CI, 0.09–1.90) significantly mediated the TGG effect on the SPPB score. Conclusions: The TGG intervention programme may provide significant benefits in physical and muscle function over usual care and seems to reverse the functional decline frequently associated with acute hospitalisation in older adults.
Open Access
Dynamics of particle-particle correlations and the ridge effect in proton-proton collisions
(American Physical Society, 2024-10-08) Calé, G.; Chachamis, Grigorios; Sabio Vera, Agustín; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
In high-energy particle physics, the study of particle-particle correlations in proton-proton and heavy-ion collisions constitutes a pivotal frontier in the effort to understand the fundamental dynamics of the strong force. To the best of our knowledge, we employ for the first time the Balitsky-Fadin-Kuraev-Lipatov dynamics implemented in a Monte Carlo code in momentum space to compute final-state correlations in proton-proton collisions. Our present work aims to investigate whether the particular dynamics of the high-energy limit of QCD can contribute to the long-range rapidity correlations and the enigmatic ridge effect in proton-proton collisions.
Open Access
Importance of measurable residual disease in the outcome of adults with acute lymphoblastic leukemia after allogeneic stem cell transplantation: long follow-up analysis from a single transplant center
(Elsevier, 2025-03-04) Ormazabal Vélez, Irati; Galbete Jiménez, Arkaitz; Sánchez-Escamilla, Miriam; Marcos-Jiménez, Ana; Fernández-Ruiz, Elena; Salmanton-García, Jon; Bermúdez Rodríguez, Arancha; Figuera Álvarez, Ángela; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
Introducción: En este estudio retrospectivo con seguimiento prolongado analizamos los resultados del trasplante alogénico de células progenitoras hematopoyéticas (alo-TPH) en los adultos con leucemia aguda linfoblástica (LAL) y el impacto de la enfermedad medible residual (EMR) antes del trasplante (pre-TPH). Métodos: La detección de la EMR se realizó mediante citometría de flujo multiparamétrica (CFM) para la LAL cromosoma Filadelfia negativa (LAL Ph-neg) y mediante técnicas moleculares para la LAL Filadelfia positiva (LAL Ph-pos).Resultados: Entre los 46 pacientes que disponían del dato de EMR en primera remisión completa (RC1),la incidencia acumulada de recaída (IAR) al primer y tercer año para los pacientes con EMR pre-alo-TPH positiva y negativa fue del 47,1% y del 52,9% vs. el 3,4% y el 6,9%, respectivamente (p < 0,001). La supervivencia libre de enfermedad (SLE) al primer y tercer año fue del 82,8% (IC 95%: 70,1-97,7) y del79,3% (IC 95%: 65,9-95,5) vs. el 35,3% (IC 95%: 18,5-67,2) y el 29,4% (IC 95%: 14,1-61,4) en el grupo de EMR negativa y positiva, respectivamente (p < 0,001). Con una mediana de seguimiento de 29 meses de la cohorte entera y de 177,6 meses en los supervivientes, la supervivencia global (SG) al primer y tercer año en el grupo de EMR negativa y positiva fue del 82,8% (IC 95%: 70,1-97,7) y del 79,2% (IC 95%: 65,6-95,5)vs. el 64,7% (IC 95%: 45,5-91,9) y el 41,2% (IC 95%: 23,3-72,7), respectivamente (p = 0,001). En el modelo multivariable, la EMR positiva pre-alo-TPH se asoció con aumento de recaída y peor supervivencia. Conclusión: Estos resultados apoyan la necesidad de erradicar la EMR pre-TPH para mejorar la super-vivencia de los pacientes con LAL que se someten a un alo-TPH.
Open Access
The uniqueness of unconditional basis of the 2-convexified Tsirelson space, revisited
(Springer, 2024-10-13) Albiac Alesanco, Fernando José; Ansorena, José L.; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute for Advanced Materials and Mathematics - INAMAT2; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
One of the hallmarks in the study of the classification of Banach spaces with a unique (normalized) unconditional basis was the unexpected result by Bourgain, Casazza, Lindenstrauss, and Tzafriri from their 1985 Memoir that the 2-convexified Tsirelson space T(2) had that property (up to equivalence and permutation). Indeed, on one hand, finding a “pathological” space (i.e., not built out as a direct sum of the only three classical sequence spaces with a unique unconditional basis) shattered the hopeful optimism of attaining a satisfactory description of all Banach spaces which enjoy that important structural feature. On the other hand it encouraged furthering a research topic that had received relatively little attention until then. After forty years, the advances on the subject have shed light onto the underlying patterns shared by those spaces with a unique unconditional bases belonging to the same class, which has led to reproving the original theorems with fewer technicalities. Our motivation in this note is to revisit the aforementioned result on the uniqueness of unconditional basis of T(2) from the current state-of-art of the subject and to fill in some details that we missed from the original proof.
Open Access
Influence of the slope in percentile estimation through binary regression for dose-finding experiments
(Taylor & Francis, 2024-12-04) Flournoy, Nancy; Moler Cuiral, José Antonio; Sada Allo, Maider; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
Dose-finding experiments aim to estimate the dose having a specified proportion of positive responses by collecting data in the vicinity of this unknown target dose. The importance of estimating the slope as well as a target dose has been recognized long ago in the literature. With large slopes at the target dose, a small error in the target dose estimate will be far from the target. Alternatively, with small slopes at the target, a large error conveys negligible changes on the associated response rate. Thus a reasonably reliable estimate of the slope of the response function at the target dose should accompany every reported target dose estimate. Assuming a monotone increasing dose-response relationship, we work with a sizable catalogue of binary location-scale regression models parameterized by the target dose and the slope at the target. A compound design is proposed for the joint estimation of both features.
Open Access
A new methodology to easy integrate complementarity criteria in the resource assessment process for hybrid power plants: offshore wind and floating PV
(Elsevier, 2025-02-21) Frías Paredes, Laura; Gastón Romeo, Martín; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, OTRI project, reference number 2020 2143 0
The maturity of technologies of energy generation from renewable sources produces tense an increasing interest on hybrid power plant implementation. The combination of different resources, as wind and solar, introduces concepts as complementarity that must be taken into account when suitability of emplacements is made. This work presents a methodology to evaluate a geographic area under the perspective of installing hybrid wind and PV power plants. Therefore, it proposes a way to evaluate the complementarity among both resources that would avoid overestimation due to time delays and it also would offer a holistic procedure to identify the most suitable locations to host one of these hybrid power plants. The methodology is illustrated by evaluating the Off-shore Spanish area to install wind and floating PV plants and is flexible to adapt the evaluation according to dimension of each technology in the future plants. It is shown how the complementarity criteria as input in the site selection process improves the ordered of emplacements obtained when only resource amount is taken into account. The methodology can be used to identify more suitable areas in the initial stages of promoting hybrid power plants. Data from ERA5 and CAMS are used to analyze long term behavior of wind and solar resources.