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Digital psychological intervention following the forest fires in the summer of 2025 in the province of Zamora: pilot study on the acceptability of a mobile application aimed at post-traumatic stress
No full text[ES]Los incendios forestales ocurridos durante el verano de 2025 en la provincia de Zamora supusieron un notable impacto emocional en la población afectada, especialmente en entornos rurales, donde existen mayores barreras de acceso a atención psicológica especializada. En este contexto, las intervenciones digitales pueden constituir una alternativa para ofrecer apoyo psicológico temprano y complementario tras desastres naturales. El presente trabajo trató de explorar la aceptabilidad, viabilidad y utilidad percibida de la aplicación móvil Pa’Lante Hoy, así como describir la usabilidad y el grado de satisfacción tras su uso supervisado, sin pretender evaluar su eficacia clínica.
Se realizó un estudio piloto descriptivo en formato de serie de casos (n = 3), reclutados a partir de muestreo por conveniencia. El procedimiento incluyó una evaluación inicial del perfil emocional (PCL-5, GAD-7 y PHQ-9) y una evaluación posterior de la experiencia de uso mediante la System Usability Scale (SUS), el Client Satisfaction Questionnaire (CSQ-8) y preguntas abiertas. Los resultados mostraron una heterogeneidad basal, como sintomatología compatible con probable Trastorno por Estrés Postraumático, ansiedad y depresión leves. Tras el uso de la aplicación, los participantes reportaron una satisfacción moderada y una experiencia global positiva, destacando la utilidad de los ejercicios de regulación emocional y la claridad del contenido psicoeducativo. La usabilidad fue variable, identificándose una curva de aprendizaje inicial y limitaciones asociadas a la edad y la conectividad. Pa’Lante Hoy podría ser un recurso digital aceptable y útil como complemento a la atención psicológica en contextos rurales post-desastre, siendo necesarios estudios con muestras más amplias.
[EN]The forest fires that occurred during the summer of 2025 in the province of Zamora had a significant emotional impact on the affected population, especially in rural areas, where there are greater barriers to accessing specialized psychological care. In this context, digital interventions can offer an alternative for providing early and complementary psychological support after natural disasters. This study dealt with to explore the acceptability, feasibility, and perceived usefulness of the mobile application Pa’Lante Hoy, as well as to describe its usability and the level of satisfaction after its supervised use, without aiming to evaluate its clinical efficacy.
A descriptive pilot study was conducted in a case series format (n = 3), with participants recruited through convenience sampling. The procedure included an initial assessment of the emotional profile (PCL-5, GAD-7, and PHQ-9) and a subsequent evaluation of the user experience using the System Usability Scale (SUS), the Client Satisfaction Questionnaire (CSQ-8), and open-ended questions. The results showed baseline heterogeneity, with symptoms consistent with probable Post-Traumatic Stress Disorder, mild anxiety and depression. After using the application, participants reported moderate satisfaction and a positive overall experience, highlighting the usefulness of the emotion regulation exercises and the clarity of the psychoeducational content. Usability was variable, with an initial learning curve and limitations associated with age and connectivity. Pa’Lante Hoy could be an acceptable and useful digital resource to complement psychological care in post-disaster rural contexts, although studies with larger samples are needed
Application of hyperspectral imaging to the automatic assessment of polyphenol oxidase and peroxidase enzymatic activity levels in bell pepper cultivars
No full text[EN]We explored the application of hyperspectral imaging (400–1100 nm) for non-destructive evaluation of peroxidase (POD) and polyphenol oxidase (PPO) enzymes responsible for browning processes in bell pepper (Capsicum annuum L.) cultivars. Several preprocessing techniques, including Standard Normal Variate (SNV), were applied to spectral data to enhance signal quality. Analysis using Partial Least Squares Regression (PLSR) showed that raw spectral data provided stronger correlations and lower prediction errors compared to processed. Discriminant spectral bands were identified using Support Vector Machine (SVM) combined with metaheuristic optimization, with SVM–Learning Automata (LA) resulting as the most effective wavelength selection strategy. Enzyme activities were then predicted using selected wavelengths with Artificial Neural Network (ANN) and PLSR models. Model performance was evaluated using the coefficient of determination (R2), Root Mean Square Error (RMSE), and Ratio of Performance to Deviation (RPD) on independent validation sets. ANN consistently outperformed PLSR, achieving high cultivar-specific R2 values for POD of 0.86, 0.93, and 0.98, for Orange, Yellow, and Red pepper varieties, respectively and PPO R2 values of 0.91, 0.97, and 0.99, for the same pepper cultivars. A combined “Total Model” integrating data from all cultivars further demonstrated robust generalization, with R2 values of 0.9082 for POD and 0.9604 for PPO. Findings confirm that hyperspectral imaging, coupled with an effective wavelength selection technique and ANN modeling provides a rapid, reliable, and robust approach for industrial evaluation of enzymatic activity in bell peppers. The proposed methodology offers significant potential for quality monitoring, process optimization, and large-scale application in industrial environments.This research was supported by Spanish Ministry of Science and Innovation (MCIU) through the MCIN/AEI/10.13039/501100011033 under project number PID2021-122210OB-I00, cofounded by the European Regional Development Fund (FEDER/ERDF),\u201DA way of making Europe.\u201D This work also received funding from strategic research programs of excellence promoted by the regional government of Castilla y Leon, co-financed by the EU ERDF Operational Program, through the iBRAINS-IN-CyL Unit of Excellence at the Castilla y Leon Neuroscience Institute (INCyL), Salamanca, Spain, under contract number CLU-2023-1-01
Introducción y marco general. Claves de la convocatoria de sexenios 2025
No full text[ES]Presentación utilizada en la "Semana del Sexenio BUCLE 2025
Are net zero emissions a priority for able CEOs?
No full text[EN]It is vital for society to understand the climate ambitions of corporate leaders, as the commitments and actions they promote to address global warming can help create a more sustainable future for all. Furthermore, the endeavour to attain net zero will engender an irrevocable transformation of business as we know it. In this paper, we assess how companies respond to climate change, using a score that measures their strategic and operational efforts to achieve net zero emissions. For a balanced data panel of 5047 international companies in the period 2015–2022, our evidence shows that firms led by able CEOs present an upper level of implementation and progress with their climate action plan, better anticipating global challenges. In the case of less able CEOs, their interest arises as a response to solutions proposed for economic recovery or new needs in terms of energy management, derived from the disruptive events in the period 2020–2022, or appears in a company with stronger governance mechanisms that limit the CEO’s discretion.This work is part of the R&D&I project PID2024-155692NB-I00 funded by MICIU/AEI/ 10.13039/501100011033 and by ERDF/EU. I also want to thank Universidad de Salamanca for the open access
Pour le développement de la compétence scripturale en FLE : le cas des règles rhétoriques de la langue française.
No full textDans le cadre de la didactique de l’écrit, nous examinons la pertinence de considérer les règles rhétoriques de la langue française dans les démarches pédagogiques visant à développer la compétence scripturale des apprenants de FLE. Bien que le respect de ces règles représente une difficulté pour les apprenants de FLE, il n’est pas systématiquement priorisé dans les salles de classe. Une réflexion portant sur la situation d’apprentissage permet de détecter les paramètres qui conditionnent le dispositif didactique à mettre en place. Le profil de l’apprenant dessine le rapport de celui-ci avec la langue cible et détermine les décisions à prendre et certains objectifs à fixer qui vont au-delà de la maîtrise de la compétence linguistique. La complexité inhérente à l’acte d’écriture exige d’accorder une large place au développement de la compétence pragmatique dans les dispositifs didactiques. Nous signalons un aspect de la compétence pragmatique qui focalise sur la connaissance et la maîtrise des conventions d’écriture en vigueur dans la langue cible puisqu’il évite de créer certains problèmes issus d’une communication interculturelle et d’une rencontre de cultures discursives différentes. À l’écrit, la langue française évolue dans un cadre discursif extrêmement codifié auquel un apprenant de FLE a besoin d’être familiarisé. Les règles discursives qui transmettent un mode de raisonnement particulier s’ajoutent à cet aspect sur lequel nous nous penchons dans cette contribution : les règles rhétoriques que l’apprenant a besoin d’appliquer pour montrer qu’il intériorise la manière de dire propre à la langue française. Ainsi, grâce à l’enseignement du FLE, un regard différent se pose sur la conception du discours et un rapport enrichissant envers les autres langues-cultures est entretenu
Non-destructive hyperspectral imaging in both olive fruit and powder for aflatoxin detection and estimation by machine learning
No full text[EN] Aflatoxins are toxic and carcinogenic mycotoxins posing a significant threat to human health and food safety. A non-destructive hyperspectral imaging (HSI) system to automatically detect aflatoxin contamination in olive fruit and powder by machine learning was proposed. Imaging was conducted in the 418–1072 nm wavelength range. For whole fruit analysis, Linear Discriminant Analysis (LDA) achieved 100 % accuracy in binary classifying healthy and contaminated samples. The Support Vector Machine method also reached 98.75 % accuracy for the same purpose. For powdered olive samples, PLSR based on full spectral data, yielded coefficient of determination (R2) values of 0.9986 and 0.9858, for calibration and validation disjoint data sets, respectively. Furthermore, combining Decision Tree with a Learning Automata algorithm extracted the 15 optimal most discriminant (effective) wavelength (EW) values, enabling data dimension reduction without a significant loss of discrimination power. Using 15 effective wavelengths, LDA model had a maximum accuracy of 100 %. PLSR model developed using the selected effective wavelengths also had robust performance, with R2 of 0.89, validation set. Findings confirm the high potential of hyperspectral imaging for non-destructive and accurate detection of fungal toxin contamination in plant food, suggesting its potential as a rapid and reliable method in food industry.This research was supported by Spanish Ministry of Science and Innovation (MCIU) through the MCIN/AEI/10.13039/501100011033 under project PID2021-122210OB-I00, and cofunded by the European Regional Development Fund (FEDER/ERDF), ”A way of making Europe.” This work also received funding from strategic research programmes of excellence promoted by the regional government of Castilla y Leon, co-financed by the EU ERDF Operational Programme, through the iBRAINS-IN-CyL Unit of Excellence at the Castilla y Leon Neuroscience Institute (INCyL), Salamanca, Spain, under contract number CLU-2023-1-01
Women at the Heart of the Neighborhood: New Feminist Translations of Urban Spaces
No full text[ES]El presente artículo tiene como propósito emprender un viaje interdisciplinar que combina la investigación traductológica y la antropológica, a fin de explorar recientes traducciones feministas de los espacios urbanos. En concreto, se examinará un libro colectivo que recopila las historias de vida, así como las representaciones visuales artísticas, de mujeres destacadas de Pizarrales, un barrio obrero de Salamanca (España). Esta obra, uno de los principales frutos del proyecto etnográfico Las (In)visibles de Pizarrales (2023-2024), se analizará desde las coordenadas de la traductología: dicho enfoque permitirá identificar la presencia de la práctica traslativa en su creación y, como resultado, aportará nuevas lecturas tanto del pasado como del presente del barrio, marcado por la activa participación femenina.
ABSTRACT: This article embarks on an interdisciplinary journey intertwining translation studies with anthropology in order to delve into recent feminist translations of urban spaces. Specifically, it examines a collective book that compiles life stories and artistic visual representations of prominent women from Pizarrales, a working-class neighborhood in Salamanca (Spain). This work, one of the main outcomes of the ethnographic project “Las (In)visibles de Pizarrales” (2023-2024), undergoes analysis through the lens of translation studies. This approach unveils translational practices in its creation, offering fresh interpretations of both the neighborhood’s past and present, characterized by active female participation
Reliability of Self- and Peer-assessment in Evaluating EFL Students’ Oral Presentations in Higher Education
No full textThe formative potential of peer- and self-assessment in EFL contexts has been investigated extensively but much controversy still surrounds the reliability and validity of these modes of assessment. This article explores the reliability of self- and peer-assessment to evaluate oral presentations in English at university level and their effect on student performance. In a fifteen-week longitudinal study, students’ oral presentations (n=65) were co-evaluated by teachers, peers, and students themselves on three occasions, five weeks apart, using an analytic scoring rubric. The mean scores for the three types of assessment (self-assessment, peer-assessment, and teacher-assessment) were compared and analysed to determine the consistency and reliability of the evaluations. The aim was to investigate whether there is a positive correlation between the three types of raters and to determine whether peer and self-assessment are reliable tools that can be used alongside teacher assessment. The findings confirm not only the growing alignment in ratings among the three rater pairs, which improves over time, but also suggest that engaging students in co-evaluation fosters a deeper understanding of their own performance and enhances their oral presentation skills
Los INCOTERMS 2020 (I): Generalidades y Grupo E
No full textVídeo interactivo y explicativo de la primera parte de los Incoterm
