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Contiene los documentos generados por los docentes e investigadores de la Universidad de Jaén en su labor de investigación, agrupados en subcomunidades correspondientes a cada Departamento.

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1. Analysis of environmental taxes to finance wastewater treatment in Spain: an opportunity for regeneration?
(MDPI, 2018) Gallego-Valero, Leticia; Moral-Pajares, Encarnación; Román-Sánchez, Isabel María; Sánchez-Pérez, José Antonio
The treatment of wastewater, financed through environmental taxes, is key to the development of a sustainable economy. The objective of this study is to verify whether the tax loads on wastewater discharges applied in Spain are effective, allowing the costs of secondary and tertiary treatments to be financed. First, the revenues collected from taxes related to the discharge of wastewater in the different Spanish regions, which reach an average value of 0.72 €/m3, are analysed. Second, the costs of secondary wastewater treatment, prolonged aeration, activated sludge with nutrient removal, and activated sludge without nutrient removal are studied. Additionally, the costs of tertiary treatments, with environmental objectives and for reuse purposes, are considered. The analysis carried out reveals high heterogeneity in the amounts collected through taxes in the different Autonomous Communities. In some cases, these amounts do not cover the costs of the treatments. An urgent review is therefore required of the financing systems applied in order to secure a level of income that can cover all the exploitation and investment costs incurred.
1. Blood Pressure Correlates Asymmetrically with Neuropeptidase Activities of the Left and Right Frontal Cortices
(MDPI, 2021-01) Segarra, AB; Prieto, I; Banegas, I; Martínez-Cañamero, M; de Gasparo, M; Ramírez-Sánchez, M
A lateralized distribution of neuropeptidase activities in the frontal cortex of normotensive and hypertensive rats has been described depending on the use of some vasoactive drugs and linked to certain mood disorders. Asymmetrical neuroperipheral connections involving neuropeptidases from the left or right hemisphere and aminopeptidases from the heart or plasma have been suggested to play a role in this asymmetry. We hypothesize that such asymmetries could be extended to the connection between the brain and physiologic parameters and metabolic factors from plasma and urine. To assess this hypothesis, we analyzed the possible correlation between neuropeptidases from the left and right frontal cortex with peripheral parameters in normotensive (Wistar Kyoto [WKY]) rats and hypertensive rats (spontaneously hypertensive rats [SHR]) untreated or treated with vasoactive drugs such as captopril, propranolol and L-nitro-arginine methyl ester. Neuropeptidase activities from the frontal cortex were analyzed fluorometrically using arylamide derivatives as substrates. Physiological parameters and metabolic factors from plasma and urine were determined using routine laboratory techniques. Vasoactive drug treatments differentially modified the asymmetrical neuroperipheral pattern by changing the predominance of the correlations between peripheral parameters and central neuropeptidase activities of the left and right frontal cortex. The response pattern also differed between SHR and WKY rats. These results support an asymmetric integrative function of the organism and suggest the possibility of a different neurometabolic response coupled to particular mood disorders, depending on the selected vasoactive drug.
(2018). Exploring the role of the DSM-5 performance-only specifier in adolescents with social anxiety disorder. Psychiatry Research, 270, 1033-1038.
(2018) Fuentes-Rodriguez, G.,; Garcia-Lopez, L.-J.,; Garcia-Trujillo, V.
22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis
(Taylor & Francis, 2020-07-28) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan Manuel; Cobo, M.J.
This article examines how the research into Lean Supply Chain Management (LSCM) has evolved over the period 1996-2018 with the identification of the main issues explored and future trends. A performance bibliometric analysis has been conducted through a study of published documents, citations, journal impact factor, h-index, most cited papers and authors, and data on the geographic distribution of publications. More relevantly, a science mapping analysis has been performed with SciMAT bibliometric analysis software using co-word networks in a longitudinal overview. The large number of studies of LSCM published has enabled a conceptual evolution map to be constructed of the way that this research has developed. The results have enabled us to identify four thematic areas in the LSCM field: Methods, Key factors, Internal efficiency, and Performance.
3D documentation for the conservation of historical heritage: the Castle of Priego de Córdoba (Spain)
(Virtual Archaeology Review, 2021-01-19) García-Molina, Diego Francisco; Ramón González-Merino; Jesús Rodero-Pérez
One of the main objectives of heritage management policies is to promote measures aimed at the maintenance, restoration and enhancement of cultural and archaeological assets. To guarantee this, the responsible institutions must promote actions for the dissemination and transference of cultural heritage, as well as promoting actions with the greatest possible rigour, developing scientific and technical studies that support and improve intervention methods. Recent technological advances in fields such as photogrammetry, digital terrestrial scanning and 3D modelling have made a significant contribution to the digital preservation and dissemination of architectural heritage. European administrations, in their desire of regional development, as well as the central or local governments have notably boosted the recovery of their rich and diverse heritage. A particular case is Priego de Cordoba’s Castle, a stronghold which was one of the most important monumental icons of the Andalusian period. Currently, this site is the main target of many architectural interventions and a model due to the implementation of last generation techniques in digital preservation. The local archaeological department promotes a large number of interventions and archaeological excavations. This has made a priority to get a qualitative geometrical 3D documentation, and therefore a constantly updated the point cloud(xyzRGB). This paper is focussed on presenting the results of the digital preservation process through 2D planimetry obtained from photogrammetric technics, 3D models, and geospatial data. These techniques are a previous step to large architectonical intervention planned in Priego de Cordoba’sCastle, in particular, the identified structures as Wall 1 and Tower 1. Two out of the three studied structures can be found in Wall 1. They correspond to a cobblestone pavement located in the rampart of the Wall 1, which is a post-medieval period; a double-stepped semi-underground path, excavated in the infill of the wall. The third structurestudied in this paper consists of a well, which drills vertically the infill of the wall of the Tower 1. This feature is interpreted in the last research as a vertical well to place the weights of the clock sited in this tower until the 19thcentury. This work combines two techniques of geometric documentation to obtaina more complete point cloud. The terrestrial laser scanning, and the photogrammetry due to the higher colour performance, along with the completion of the point cloud obtained with the laser scanner. Alongwiththis study,we will analyse the features which will better define the best technique to fit the documentation of the different structures. Their geometric characteristics, the incidence of sunlight or the accessibility will condition the use and choice of the technique.We have statedthat there is software nowadays which makes it easier to access and consult the information through new computing hardware. Besides, we have highlighted the importance of knowledge and synergy from the different stakeholder simplied (city council, technological centre and private companies). The final goal consists of making the society aware of the capital importance of digital preservation as well as dissemination of science.
3D geometry and architecture of a normal fault zone in poorly lithified sediments: A trench study on a strand of the Baza Fault, central Betic Cordillera, south Spain.
(Elsevier, 2019) Medina-Cascales, I; Koch, L; Cardozo, N; Alfaro, P; García-Tortosa, FJ
Successive excavation of 13 trenches of different orientations reveals the complexity of a normal fault zone in Pliocene-Pleistocene unconsolidated sediments on a strand of the Baza Fault, central Betic Cordillera, south Spain. These trenches and the excavation floor are interpreted and integrated to reconstruct the 3D geometry and internal architecture of the fault zone. The structure consists of two main fault strands: an eastern one with a few hundred metres throw and a western one with at least 15m throw. These strands interact and gradually merge to the south, bounding a main deformation zone narrowing from ∼7 to 1m along strike. Fault-bounded rock bodies, clay and sand smears, and clay injections define the structure. These features are highly variable in 3D. In the northern part of the outcrop, deformation is localized around the main strands, brittle in the west and more ductile to the east. As the strands and their fault zones increasingly interact, fault throw, rock deformation and maturity of the structure increase. Mechanical stratigraphy also controls the style of deformation. A realistic representation of this 4D picture of fault deformation is critical for modelling fluid flow in shallow to possibly deep, faulted sedimentary reservoirs.
3D Modeling of Rural Environments from Multiscale Aerial Imagery
(Elsevier, 2024) Jurado Rodríguez, David; Latorre Hortelano, Pablo; Dominguez, Luís René; Ortega Alvarado, Lidia M.
Given the increasing attention to environmental preservation and sustainable development, the digitization of rural landscapes stands out as a pivotal strategy for effective environmental management and sustainability, land use planning, and preservation of cultural heritage. This work proposes a novel methodology for generating 3D models of rural landscapes by integrating multiscale data sources. Although Unmanned Aerial Vehicles (UAV) simplify the acquisition of multi-source data, their coverage is typically restricted to small landscapes due to their limited range and flight time. On the other hand, although the use of aerial images provides a broader view of the terrain, it is important to note that the low resolution of these images interferes with the task of accurate 3D modeling. Given these challenges, we propose a methodology that combines UAV data and high-resolution aerial imagery provided by the Spanish National Orthophoto Program (PNOA). This multi-source data integration is crucial to generating detailed and accurate 3D models of rural environments. The proposed methodology involves three steps: (1) semantic segmentation of aerial images identifying features such as vegetation, ground, and human-made structures, (2) estimation of the Digital Elevation Model (DEM), and (3) 3D modeling of rural environments using the point clouds generated from UAV images. The conducted experiments demonstrate the effectiveness of our approach identifying and representing previously mentioned features. Thus, this work presents advances in 3D representation techniques for real scenarios, contributing to the coordination of land utilization and environmental sustainability in rural landscapes.
3D object recognition for anthropomorphic robots performing tracking tasks
(Springer, 2019-07-03) Satorres Martínez, Silvia; Sánchez García, Alejandro; Estévez Estévez, Elisabet; Gómez Ortega, Juan; Gámez García, Javier
Object recognition is still a major research issue of particular relevance in robotics. The new trend in industrial and mainly in service robotics is to perform manipulation tasks in an unstructured environment working in synergy with humans. To perform tasks in an environment that is not perfectly controlled, robots need adequate perceptual capabilities. Among various types of sensors available for robotic systems, the time-of-flight (ToF) camera is one of the most utilized since it simultaneously provides intensity and depth data at a high frame rate. Our proposal makes use of this technology exploiting both, depth and grey-scale information. Therefore, intensity and geometric features are fused together to allow 3D object recognition in real scenes in presence of partial occlusions. As a case study, an object tracking task for an anthropomorphic robot is presented. Experimental results demonstrate the effectiveness of the proposed method, not only providing reliable visual information about the object to be tracked but also recognizing potential obstacles which should be avoided during the robot arm movement.
El 711 en al Alto Guadalquivir
(Museo Arqueológico Regional de Madrid, 2011) Salvatierra Cuenca, Vicente; Montilla Torres, Irene
En este texto se recogen las noticias escritas y las evidencias arqueológicas que permiten reconstruir la situación del alto Guadalquivir en las décadas inmediatamente anteriores y posteriores a la conquista musulmana. La escasez de noticias específicas dificulta notablemente obtener una imagen consistente. No obstante, la continuidad en la organización y estructura de la población en el territorio parecen ser los rasgos iniciales, aunque lentamente grupos de conquistadores árabes, pero sobre todo quizá beréberes, irán asentándose entre ellos. Las transformaciones en profundidad serán muy posteriores, y cabe relacionarlas más con la adopción de nuevas costumbres por la población indígena, que con la llegada masiva de nuevos pobladores.
76 people who making art walked together
(Intellect, 2022) Moreno Montoro, María Isabel
A research through the histories of encounters between people from different places, doing collective artistic practices as a way to break down barriers and apprehensions in their own lives to support the creative process of others. 76 people who making art walked together is the story of a relational encounter of writing, drinking coffee, recounting lives, while drawing, knitting, sewing and doing embroidery – much as has been the tradition of many women in Spain who have done so for many years in silence. This is our story of meeting and sharing, an emotional journey of many.
A 12‑Month Follow‑Up of PROCARE+, a Transdiagnostic, Selective, Preventive Intervention for Adolescents At‑Risk for Emotional Disorders
(2023) Vivas-Fernandez, Manuel; Garcia-Lopez, Luis J.; Piqueras, Jose A.; Espinosa-Fernandez, Lourdes; Muela-Martinez, Jose A.; Jimenez-Vazquez, David; Diaz-Castela, M. Mar; Ehrenreich-May, Jill
Few studies have reported long-term follow-up data on selective preventive interventions for adolescents. No follow-up selective preventive transdiagnostic studies for adolescents at-risk for emotional disorders, such as anxiety and depression, have been reported. To fill this gap, this study aims to provide the first follow-up assessment of a randomized controlled trial (RCT) studying selective transdiagnostic prevention in at-risk adolescents. A 12-month follow-up assessment was conducted with subjects who originally received either PROCARE (Preventive transdiagnostic intervention for Adolescents at Risk for Emotional disorders), PROCARE+, which includes the PROCARE protocol along with personalized add-on modules or an active control condition (ACC) based on emotional psychoeducation, and their respective booster session for each experimental condition. 80 subjects (47.5% girls) aged between 12 and 18 years (M = 14.62; SD 1.43) who completed these treatment conditions were available for the 12-month follow-up. The results demonstrate the superior long-term efficacy of the PROCARE+ intervention in mitigating emotional symptoms and obsessive–compulsive symptomatology compared to the PROCARE and ACC conditions, with effect sizes notably exceeding those commonly observed in preventive programs. While the three treatments demonstrated beneficial impacts, the pronounced results associated with PROCARE+ at the 12-month follow-up emphasized the importance of personalized treatment modules and the sustained benefits of booster sessions in the realm of preventive psychological interventions. The findings also highlight the potential role of add-on modules in enhancing the effects of the PROCARE+ condition.
A bibliometric study of Lean Supply Chain Management research: 1996-2020
(Taylor & Francis, 2021-11-27) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan Manuel
Lean Supply Chain Management is an emerging research field in Operations Management that is attracting growing attention from researchers and practitioners. This paper aims to present a comprehensive analysis of the Lean Supply Chain Management literature to understand the influence, basic research characteristics, interrelationships, and productivity of the research in this field. The present study uses BibExcel and VOSviewer software to conduct thorough bibliometric and network analyses of 715 papers published in the Web of Science database over the period 1996-2020. The use of bibliometric methods has enabled the identification of current and emerging research clusters to detect some key research topics, interrelations, and collaboration patterns. Moreover, this analysis has enabled to draw numerous conclusions and propose a roadmap for future research in the field. This paper, therefore, provides some new insights not previously evaluated in other reviews of Lean Supply Chain Management that can help researchers to understand the evolution of research trends through a proposed classification of the literature on this topic.
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns
(Springer, 2019) García-Vico, Ángel M.; González, Pedro; Carmona, Cristóbal J.; del Jesus, María José
A biorefinery approach to obtain antioxidants, lignin and sugars from exhausted olive pomace
(Elsevier, 2021-01-30) Gómez-Cruz , Irene; Contreras Gámez, María del Mar; Romero , Inmaculada; Castro , Eulogio
Exhausted olive pomace (EOP) is the main residue of the pomace olive oil extracting industry. In this work, EOP was fractionated into valuable components for valorisation: an aqueous extract rich in hydroxytyrosol and mannitol, lignins with antioxidant properties and fermentable sugars. EOP was first subjected to water extraction at 85 °C for 90 min. Several pretreatments based on liquid hot water and organosolv with 50% or 60% ethanol (catalysed and uncatalysed with 1% sulfuric acid) were then evaluated in terms of delignification ability and efficiency for enzymatic hydrolysis of the pretreated solids. Once the best conditions had been selected (50 % ethanol-1% sulfuric acid at 130 °C for 60 min), an organosolv lignin (OL) with antioxidant properties was obtained through acid precipitation of the pretreatment liquor. This was compared to the enzymatic hydrolysis lignin obtained in the subsequent step and to the lignins purified by acid hydrolysis. OL showed a higher total phenolic content and antioxidant activity than the rest of the lignin samples. Chemical differences were also observed that could explain the results.
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
(Springer, 2021) García-Vico, Ángel M.; Carmona, Cristóbal J.; González, Pedro; del Jesus, María José
Today, the number of existing devices generates immense amounts of data on a continuous basis that must be processed by new distributed data stream mining approaches. In this paper we present a new approach for extracting descriptive emerging patterns in massive data streams from different sources through Apache Kafka and Apache Spark Streaming whose objective is to monitor the state of the system with respect to a variable of interest. For this purpose, the proposed algorithm is a cellular-based multi-objective evolutionary fuzzy system that uses an informed strategy for efficient data processing and a re-initialisation and filtering mechanism to eliminate redundant and low-reliable patterns. The experimental study carried out demonstrates an interpretability improvement of 25% in the extraction of high-interest knowledge by the proposed algorithm, which would make it easier for experts to analyse the problem. Finally, the proposed algorithm is up to five times faster than another proposal on the processing of the same amount of data. In this experimental study, up to 750,000 instances have been processed in approximately four seconds.
A Checklist Proposal for Assessing the Potential of Language Teaching Apps
(Springer, 2023-05) Luque Agulló, Gloria; Almazán Ruiz, Encarnacion
The use of mobile applications for English as a Foreign Language (EFL) teaching and learning has become widespread at all educational levels, increasing the difficulty in identifying the most technically and pedagogically suitable application for a specific teaching context. Although digital skills should be a central component in (prospective) FL teachers’ qualifications as one of their twenty-first-century skills, teachers may be inadequately prepared to select, evaluate, and use some of the newer technologies, namely mobile apps, to improve the language learning process within their teaching frameworks. Although there is a growing body of research on the evaluation of apps using checklists, very few studies focus on easily applicable, hands-on criteria for selecting and evaluating apps specifically for TEFL. Therefore, this chapter aims to provide a functional, accessible checklist to evaluate apps, enabling prospective and novice teachers to incorporate them into their instruction. The checklist considers technical, methodological, and linguistic features but maintains a focus on pedagogically relevant criteria.
A Cohesion-driven Consensus Reaching Process for Large Scale Group Decision Making under a Hesitant Fuzzy Linguistic Term Sets Environment
(Elsevier, 2021-05) Rodríguez, Rosa M.; Labella, Álvaro; Sesma-Sara, Mikel; Bustince, Humberto; Martínez, Luis
Large-scale group decision-making (LSGDM) under uncertainty modelled by comparative linguistic expressions based on a hesitant fuzzy linguistic term set (HFLTS) has recently attracted the interest of many researchers and research, due to the necessity of its function in LSGDM, and the challenges it faces such as the managing of the scalability problem, uncertainty of experts’ opinions and dealing with polarized conflicting opinions. To smooth out such discrepancies and obtain agreed solutions Consensus Reaching Processes (CRPs) for LSGDM have been applied, in which experts are grouped into sub-groups according to the closeness of their opinions to deal with scalability. However, most CRPs for LSGDM are driven by a majority rule, in which larger sub-groups, where there might be internal disagreements, lead the consensus. In such processes, the internal disagreements can produce unsatisfactory solutions. Consequently, the majority view should be complemented by additional mechanisms that also measure the strength of the sub-groups’ opinions. A good measurement of such strength is the cohesion among the sub-group members. Therefore, in this paper, a new cohesion measure for HFLTS based on restricted equivalence functions for measuring the experts’ sub-group cohesiveness is introduced to drive the consensus process together the majority and thus reduce the impact of internal disagreements risen in majority driven CRPs. It is then integrated in a new cohesion-driven CRP approach based on LSGDM to deal with comparative linguistic expressions based on HFLTS. An experimental analysis on different large scale scenarios will show the performance and importance of cohesion in consensus based LSGDM.
A Common Framework for Developing Robust Power-Flow Methods with High Convergence Rate
(MDPI, 2021-07) Tostado-Véliz, Marcos; Kamel, Salah; Escámez-Álvarez, Antonio; Vera-Candeas, David; Jurado-Melguizo, Francisco
This paper presents a novel Power-Flow solution paradigm based on the structure of the members of the Runge–Kutta family. Solution approaches based on the introduced solution paradigm are intrinsically robust and can achieve high-order convergences rates. It is demonstrated that some well-known Power-Flow solution methods are in fact special cases of the developed framework. Explicit and embedded formulations are discussed, and two novel solution methodologies based on the Explicit Heun and Embedded Heun–Euler’s methods are developed. The introduced solution techniques are validated in the EU PEGASE systems, considering different starting points and loading levels. Results show that the developed methods are quite reliable and efficient, outperforming other robust and standard methodologies. On the basis of the results obtained, we can affirm that the introduced solution paradigm constitutes a promising framework for developing novel Power-Flow solution techniques.
A compact representation of the bone fracture area. Application to fractured bones of clinical cases
(Taylor & Francis, 2021-01-05) Luque-Luque, Adrián; Jiménez-Pérez, Juan Roberto; Pérez-Cano, Francisco Daniel; Jiménez-Delgado, Juan José
The extraction of the main features of a fractured bone area enables a posterior virtual reproduction of the same fracture on other bones. The utilisation of the fracture zone for other applications is almost an unexplored field of research. Recreating a given fracture on other areas or bones can be directly applied to medical training programmes of traumatologists or to automatic bone fracture reduction algorithms. This paper is focused on the process of generating a fracture pattern taking computed tomography scans as a starting point. A set of alternative representations, for different purposes, is presented and discussed. A study of several clinical cases is analysed. Finally, the potential usages of bone fracture patterns are described.
A Comparative Analysis of Mitogenomes in Species of the Tapinoma nigerrimum Complex and Other Species of the Genus Tapinoma (Formicidae, Dolichoderinae)
(MDPI, 2024-12-02) Ruiz-Mena, Areli; Mora, Pablo; Rico-Porras, José M.; Kaufmann, Bernard; Seifert, Bernhard; Palomeque, Teresa; Lorite, Pedro
Using next-generation sequencing data, the complete mitogenomes of six species from the genus Tapinoma were assembled. This study explores the mitochondrial genomes of Tapinoma species, among them the five species from the Tapinoma nigerrimum complex, comparing them with each other and with other species from Dolichoderinae subfamily to understand their evolutionary relationships and evolution. Tapinoma mitochondrial genomes contain the typical set of 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNAs, and the A + T-rich control region. A phylogenetic analysis using the protein-coding gene sequences from available Dolichoderinae mitogenomes supports the monophyletic nature of the genus Tapinoma, with the T. nigerrimum complex forming a well-supported clade. Key findings include genetic traits unique to the T. nigerrimum complex, such as a start codon in the atp8 gene and a complete stop codon in cox1, distinguishing them from other Tapinoma species. Additionally, a gene rearrangement involving tRNA-Trp, tRNA-Cys, and tRNA-Tyr was found exclusively in the Tapinoma species, suggesting a potential phylogenetic marker for the genus.

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