University of Las Palmas de Gran Canaria
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Le rôle des manuels dans la formation du lexique culturel mental des apprenants d’anglais langue étrangère
This study aims to: (i) explore the number and lexical category of cultural words in an EFL textbook used by 44 4th ESO students; (ii) analyse the number of types produced by these informants in response to a task based on three culturally framed stimulus words (Culture, Traditions, Celebrations); and (iii) investigate the relationship between textbook input and students’ word production at the start and end of the academic year. Results show alignment between student responses and textbook content, with increased production of cultural words by the end of the year. These findings suggest that their EFL textbooks and instruction influence learners’ cultural knowledge.Este estudio tiene como objetivos: (i) explorar el número y la categoría de las palabras culturales que aparecen en un libro de texto de inglés utilizado por 44 estudiantes de 4.º de ESO; (ii) analizar el número de tipos producidos en respuesta a una tarea basada en tres palabras estímulo culturales (Cultura, Tradiciones, Celebraciones); (iii) investigar la relación entre el contenido del libro y la producción de palabras al inicio y al final del curso. Los resultados muestran una alineación entre las respuestas de los estudiantes y el contenido del libro, aumentando la producción de palabras culturales al final del año. Estos hallazgos sugieren que los libros de texto y la instrucción influyen en el conocimiento cultural de los estudiantes.Cette étude vise à : (i) explorer le nombre et la catégorie lexicale des mots culturels dans un manuel d’ALE utilisé par 44 étudiants du 4e Cours de la ESO (Éducation Secondaire Obligatoire) ; (ii) analyser le nombre de types produits par ces informateurs en réponse à une tâche PdLex basée sur des mots stimulus culturellement encadrés (Culture, Traditions, Célébrations) ; et (iii) étudier la relation entre l’apport des manuels scolaires et la production de mots des étudiants au début et à la fin de l’année scolaire. Les résultats montrent un alignement entre les réponses des élèves et le contenu des manuels scolaires, avec une augmentation de la production des mots culturels á la fin de l’année. Ces résultats suggèrent que les manuels et l’enseignement influencent les connaissances culturelles des apprenants.141123190,173Q1ESCIQ232,070,0Q19,9ERIH PLU
Esquisses de la sénescence : Luis Cernuda et Vicente Aleixandre portraituré par Jorge Guillén dans "Final"
Este trabajo estudia dos retratos poéticos publicados por Jorge Guillén en Final: los de Luis Cernuda y Vicente Aleixandre. Se trata de una caricatura y un elogio. El análisis conduce a una reflexión sobre su significado en Aire Nuestro, junto a ciertas debilidades y alguna incoherencia del autor. Las diferencias entre los textos, muy visibles en los elementos reiterados en uno y otro, como el uso de las preguntas o la manera de plasmar la voz del otro, terminan por esbozar una suerte de espejo en el que el retratista se vislumbra y que evidencia la faceta de autorretrato que todo retrato conlleva, o lo que supone como medio de expresión de la subjetividad subyacente en la mirada protagonista.This work studies two poetic portraits published by Jorge Guillén in Final: those of Luis Cernuda and Vicente Aleixandre. They are a caricature and a eulogy. The analysis leads to a reflection on their meaning in Aire Nuestro, together with certain weaknesses and some incoherence on the part of the author. The differences between the texts, clearly visible in the repeated elements in each, such as the use of questions or the way of representing the voice of the other, ultimately sketch out a sort of mirror in which the portrayer is reflected. This reveals the self-portrait aspect that every portrait entails, or what it represents as a means of expressing the underlying subjectivity in the protagonist’s gaze.Ce travail étudie deux portraits poétiques publiés par Jorge Guillén dans Final : ceux de Luis Cernuda et de Vicente Aleixandre. Il s’agit d’une caricature et d’un éloge. L’analyse conduit à une réflexion sur leur signification dans Aire Nuestro, ainsi que sur certaines faiblesses et incohérences de l’auteur. Les différences entre les textes, très visibles dans les éléments qui se répètent, comme l’utilisation de questions ou la manière de capter la voix de l’autre, finissent par dessiner une sorte de miroir dans lequel le portraitiste se regarde et met en évidence la facette de l’autoportrait que comporte tout portrait, ou ce qu’il suppose comme moyen d’expression de la subjectivité sous-jacente du regard du protagoniste.299283170,173Q1ESCIQ232,070,0Q19,9ERIH PLU
Dataset, software and experimental layouts used in "Noise levels due to commercial and leisure activities in urban areas: Experimental validation of a numerical model fed with crowd density estimation using computer vision."
<p>This repository contains the model developed in the research article entitled "Noise levels due to commercial and leisure activities in urban areas: Experimental validation of a numerical model fed with crowd density estimation using computer vision", the dataset utilised for validation and the experimental set-ups tested. The dataset includes sound level records, encompassing both sound level meter and microphone recordings, in addition to the reference source spectra employed in the model for mathematical validation. Additionally, it encompasses the outcomes of the detection of people through image analysis using computer vision, which was employed for the validation in real situation scenarios.</p>
<p>The article proposes a strategy designed to predict the level of noise produced by crowds of people that is based on an indirect procedure that makes use of two interconnected tools: 1) an Artificial Neural Network that uses images to determine the density and distribution of the crowd in pedestrian streets and 2) a numerical model that uses this information and the urban geometry to efficiently calculate the noise level at any point in the analysis area.</p>
<p>The model's physical foundations and the validation process, both mathematically and in a real environment, are described in the paper above, available at: https://doi.org/10.3390/s25123604</p><h3><strong>Dataset contents</strong></h3>
<ul>
<li>Controlled artificial noise sources
<ul>
<li>Measurements
<ul>
<li>Microphones</li>
<li>Sound level meters</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li>
<ul>
<li>Layouts and tests</li>
</ul>
</li>
</ul>
<ul>
<li>Real situations
<ul>
<li>Cano Street
<ul>
<li>Campaigns
<ul>
<li>Sound level meter measurements</li>
<li>Yolov8 detections</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li>
<ul>
<li> Sargento Llagas Street
<ul>
<li>Campaign
<ul>
<li>Measurements</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li>Solver for Windows</li>
</ul>
<p> </p>
<h3><strong>Description of contents</strong></h3>
<p><strong>Controlled artificial noise sources</strong> contains the sound intensity level records and a schematic of the layouts that were tested in the model validation experiment with controlled artificial noise sources.</p>
<p><strong>Microphones</strong> contains the collection of audio recordings that was conducted using microphones as the receiving devices, with each tested layout being stored in a separate folder. The audio files (WAV files) and data files (CSV files) are provided for each test. Furthermore, the reference spectrum employed in the model as the spectrum emitted by the sources is provided.</p>
<p><strong>Sound level meters</strong> contains the records made using sound level meters as receiving devices; only the data files (in Excel format) are provided. In the case of the sound level meters, continuous recording was carried out throughout the experiment, while with the microphones, only the duration of each test was recorded.</p>
<p><strong>Real situations </strong>comprises all the records made during the measurement campaigns carried out in Cano Street and Sargento Llagas Street. For <strong>Cano Street</strong>, three measurement campaigns were conducted, with data files containing sound intensity level records and text files detailing the results of people detection using computer vision provided for each. Similarly, <strong>Sargento Llagas Street</strong> has one unique set of data, comprising sound intensity level records and results of people detection. However, Sargento Llagas Street data (sound intensity level + number of people) is consolidated into a single file for each day.</p>
<p><strong>Solver for Windows</strong> contains a Windows executable that allows the developed model to be used to predict noise levels at any position within a Street Canyon, depending on its geometry and the number of sources present. An input data file for the model and the output data files returned by the model are included as examples.</p>
<p> </p>
<h3><strong>How to use the model</strong></h3>
<p><strong>Input</strong></p>
<p>The first step is to create a text file containing:</p>
<ul>
<li>geometry data of the street to be analysed,</li>
<li>number and location of the areas of the street where people tend to congregate,</li>
<li>number of people (or noise sources) in each congregation,</li>
<li>and the coordinates at which the noise level prediction is to be made.</li>
</ul>
<p>A text file containing the necessary input data is included in the directory as an example. The structure of each row of the input file should be as follows:</p>
<ul>
<li><strong>Row 1:</strong> <em>width of the street, in metres.</em></li>
<li><strong>Row 2:</strong> <em>number of areas where crowds of people are likely to occur.</em></li>
<li><strong>Row 3:</strong> <em>coordinates and size of each area where crowds form. In a separate row for each area: [area_number x-coord. y-coord. width height]. The coordinates (x, y) refer to the lower left corner of each area. The x-axis is in the transverse direction of the street, the y-axis in the longitudinal direction. All data in metres.</em></li>
<li><strong>Row 4: </strong><em>idem for the second area. One row for each area to be defined.</em></li>
<li><strong>Row 5: </strong><em>3 parameters, in the following order: distance at which the reference spectrum of the sources was recorded, height of the sources with respect to the ground and a parameter defining whether the third reflective surface (ground) is present or not: 1 -> exists; 0 -> does not.</em></li>
<li><strong>Row 5:</strong> <em>number of cases raised, with different crowd densities for each area.</em></li>
<li><strong>Row 6:</strong> area number followed by the number of sources present in that area in each case. A value for the number of sources for each case considered.</li>
<li><strong>Row 7:</strong> <em>idem for the second area. One row for each defined area.</em></li>
<li><strong>Row 8:</strong><em><strong> </strong>number of calculation iterations with different positioning of sources within each defined area and different offset between the spectrum emitted by each source.</em></li>
<li><strong>Row 9:</strong><em><strong> </strong>number of receivers or positions where the sound intensity level is to be predicted.</em></li>
<li><strong>Row 10:</strong><em><strong> </strong>coordinates of the positions where the sound intensity level is to be predicted. In a separate row for each position: [receiver_number x-coord. y-coord. height]. All data in metres.</em></li>
<li><strong>Row 11: </strong><em>idem for the second position. One row for each position to be defined.</em></li>
</ul>
<p> </p>
<p><strong>Run the model</strong></p>
<p>The model is executed directly in the operating system, through the system PowerShell, by sending a prompt indicating the path to the executable, the path to the input file, and the path to which the output files are to be stored. The command must conform to the following format:</p>
<p><strong>"path/to/model < path/to/input_file > path/to/output_file1 path/to/output_file2 path/to/output_file3"</strong></p>
<p>i.e.: <strong>"Solver_20Rbis.exe < input_data.d > output.s6 output.s7 output.s8"</strong></p>
<p> </p>
<p><strong>Output</strong></p>
<p>The model returns three text files containing the results. The first file contains the input data, the coordinates of each source in each calculation iteration, and the prediction of the sound intensity level in each of the defined positions, for each case and for each calculation iteration.</p>
<p>The second text file contains the solution of the half-space model (considering only one reflecting surface, the ground) at each of the defined positions, for each case considered and for each calculation iteration.</p>
<p>The third text file contains the differences in decibels (dB) between the two aforementioned solutions.</p>
Dataset generated in "Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets"
<p>This repository contains the dataset used in the scientific article "Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets" by Román Quevedo-Reina, Guillermo M. Álamo, Luis A. Padrón, Juan J. Aznárez.</p>
<p>(https://doi.org/10.1016/j.compstruc.2022.106917)</p>
<p>This dataset was used to train the artifficial neural network describe in the paper above and available at: https://doi.org/10.5281/zenodo.14731582</p><p>The dataset is available in two formats: ".mat" (MATLAB file) and ".csv" (comma-separated values).</p>
<p>The table contains the following details:</p>
<ul>
<li>Each row represents a single sample.</li>
<li>The matrix has 23 columns, corresponding to the 22 input variables and the fundamental frequency, all of them described in the cited scientific article.</li>
</ul>
Addressing offshore wind farms compatibilities and conflicts with marine conservation through the application of modelled benchmarking scenarios
Offshore wind power generation structures are scheduled for development in the Canary Islands, potentially resulting in spatial overlap with various maritime activities, particularly fishing. It is crucial to point out that some areas that are considered suitable for installing these structures are in protected zones that are part of the Natura 2000 network, and do not have any prior environmental impact assessments. The research delved into the efficacy of utilizing Ecopath with Ecosim software to examine the consequences of implementing this technology in the study area, employing an ecosystem-based approach. To address this question, simulations were executed by assessing three distinct scenarios. The results suggest that there would be changes in the distribution of keystone species such as top predators, alongside a conspicuous decline in the abundance and catches of target species of the fishery. The Ecospace model holds the potential to forecast the impacts of offshore wind installations; however, crucial factors must be carefully considered, such as the lack of information. Notwithstanding the constraints, research like this demonstrates the efficacy of spatial ecosystem modelling in exploring this issue.163,596Q
Treatment of Wastewater Using a Magnetically Recoverable Ag-Based Photocatalyst
A novel catalyst, composed of silver phosphate (Ag3PO4) deposited on a magnetic
material containing titanium dioxide (TiO2) and ferromagnetite (Fe3O4), was synthesized
and tested with wastewater from the maintenance system of a swimming pool and from
the secondary effluent of a wastewater treatment plant (WWTP). The magnetic material
Ag3PO4@1-TiO2-Fe3O4 presented a slightly lower photoactivity than bare Ag3PO4 but
was able to remove over 64% COD from the secondary effluent of a WWTP and over 75%
organic UV filters from a swimming pool wastewater. The material was easily recovered
from the treated water with a magnet and could be reused at least four times. The efficiency
loss after five reuses was 15%. The dissolution of silver after the photocatalytic reaction was
over 80 mg·L−1 for bare Ag3PO4 and less than 500 μg·L−1 for the magnetic composites. The
magnetic support prevents the dissolution of silver. The materials that contained Ag3PO4
showed antibacterial properties under dark conditions. The photocatalytic efficiency of
Ag3PO4 and commercial TiO2 was similar under sunlight, both for the removal of UV filters
at μg·L−1 concentrations from swimming pool wastewater, and for the removal of mild
COD loads from a WWTP effluent (initial COD: 110 mg·L−1)201200,7243,0Q1Q2SCIE10,
Feed intake, preferences, in vivo digestibility, and nutritional value of tedera (B. bituminosa var. bituminosa) and maralfalfa (Pennisetum purpureum) in Canary sheep
This study evaluated the nutritional value and energy content of tedera (B. bituminosa var. bituminosa) and maralfalfa (Pennisetum purpureum) through analyses of chemical composition, digestibility, intake, and preference trials. Tedera was compared with maralfalfa and alfalfa hay (Medicago sativa). Tedera showed higher crude protein (193 g CP/kg DM) and estimated energy (10.5 MJ DE/kg DM) but lower dry matter (286.3 g DM/kg) and neutral detergent fiber (373 g NDF/kg DM) than both maralfalfa and alfalfa hay. The in vitro organic matter digestibility (IVOMD) of tedera was 61.7%, compared to 51.0% for alfalfa hay and 66.3% for maralfalfa. Digestible organic matter (DOM) ranged from 467 g/kg DM in alfalfa hay to 566.4 g/kg DM in tedera. Four Canary sheep with a mean body weight (BW) of 42.2 ± 5.0 kg were used for digestibility and preference trials. The live weights of the sheep were recorded at the start and end of the 12-day trial. Feed offered and refusals were weighed and recorded daily for eight days, while feces were collected for four days to calculate apparent in vivo digestibility. For tedera, the apparent in vivo OM digestibility, estimated digestible energy, and digestible organic matter were 69.4%, 11.8 MJ/kg DM, and 637.7 g/kg DM, respectively. Preference and feed intake were compared between tedera, maralfalfa and alfalfa hay. Total DM consumption was 1091.3 g/day (tedera + maralfalfa + alfalfa hay), with alfalfa hay intake representing 40.8%, maralfalfa 37.3%, and tedera 21.9% of the total DM consumed. However, no significant differences were observed in the ratio of forages consumed/offered (44.8% for tedera and 51.8% for maralfalfa) or in the total grams of DM, CP, and MJ/kg of DE consumed by the sheep with both forages. The sheep adopted different feeding strategies in response to the chemical composition and nutritive value of the forages. Preferences and intake in this trial were associated with high NDF content in maralfalfa and alfalfa hay and with the high CP content in tedera rather than digestibility results. This may be due to the complementarity of the three forages and the higher CP content in tedera affecting intake. Nevertheless, tedera and marafalfa could be a good forage considering its nutritive value, digestibility, and proven growth performance in herbivores.100,4811,7Q2Q2SCIE11,
Scientific progress on entrepreneurship in the circular economy: a scientometric analysis
This paper adopts a scientometric approach to establish a research framework to guide the study of entrepreneurship in the circular economy (ECE) for the coming years. Two hundred papers published on ECE in journals indexed in WOS and Scopus show that this area of research is still in its embryonic stage and that it is geared towards two key axes: environmental and management aspects. In addition to framing the study of ECE based on the concept of conscious entrepreneurship, this paper shows that it is critical to focus efforts on understanding the challenges and obstacles facing the transition from a linear to a circular economy. Furthermore, it is essential to determine the enabling factors from both contextual and organizational perspectives, with a particular focus on examining the negative externalities of ECE. The role of researchers in this field is key to not only better understanding the phenomenon but also to prescribing and disseminating this philosophy on which to base economic growth in the remainder of the century.250,6723,3Q1Q2SCIESSCI10,6ERIH PLU