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Item type:Publication, La importancia del diseño para mujeres en el comercio informal(Universidad de Chile, 2024-12-24) - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Nieto Ibáñez, Jesús M., & Torres Prieto, Juana M. (Eds.). Historia de la literatura cristiana en la Antigüedad. Madrid: Ciudad Nueva, 2024, 682 pp. ISBN: 978-84-9715-577-9(Universidad Panamericana, 2024-07-01)Dos reputados catedráticos, Jesús Nieto Ibáñez por la Universidad de Valladolid y Juana Torres Prieto por la Universidad de Cantabria son los editores responsables de un manual, que, por su temática, se echaba en falta en el ámbito académico hispanoamericano. Se trata de un texto organizado en tres núcleos: a) De los orígenes al siglo III; b) De Constantino al siglo III y c) La época de la separación entre Oriente y Occidente (ss. V y VI). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Library Instruction and Research Training in the Context of Artificial Intelligence(2025) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Codification of Images Based on Deterministic Brownian Motion(2024); 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, La crisis migratoria en Bielorrusia (2021) contada por Euronews y Sputnik: análisis comparativo de framing basado en citas de fuentes políticas(Universidad de Sevilla, 2024)Se analiza de forma comparativa la cobertura de Euronews y Sputnik de la crisis migratoria en la frontera polaca-bielorrusia en noviembre de 2021, realizando un análisis de contenido y de framing con base en las fuentes citadas. Los resultados demuestran sesgos hacia la parte europea o bielorrusa del conflicto, pero ambos medios también dan voz a las posturas enfrentadas. Se ofrece un sistema de análisis de framing sencillo y replicable. ©La autora ©IC Revista Cientifica de Informacion y Comunicacion.12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Acceso a la justicia a través de demandas electrónicas en México(Universitat Oberta de Catalunya, 2024); ; Saavedra Salazar, José AntonioAcceder a la justicia a través de medios electrónicos promete acercar la justicia a la ciudadanía. Sin embargo, no basta con que los poderes judiciales cuenten con plataformas para el juicio en línea si su utilización es marginal. La investigación sobre juicios en línea con apoyo estadístico es escasa. Existe una plataforma que permite presentar demandas electrónicamente ante órganos jurisdiccionales de la República Mexicana desde cualquier parte del mundo que tenga conectividad a internet. Por lo que este artículo analiza la utilización de demandas electrónicas a nivel nacional y a nivel de estados de la República Mexicana de 2019 a 2023, así como su correlación con el Producto Interno Bruto per cápita de servicios profesionales, científicos y técnicos (PIBpc-SPCyT). Con datos oficiales se: 1) analiza la evolución por cada 100 mil habitantes, como proporción del total de demandas y con base en la tasa de crecimiento anual compuesta; y 2) se establece la correlación e impacto de las demandas electrónicas con el PIBpc-SPCyT. Se halló que existe un incremento constante en el uso de las demandas electrónicas y que obedece a distintos factores, así como que hay una correlación directa entre el PIBpc-SPCyT y la presentación de demandas electrónicas. ©Los autores ©IDP. Revista de Internet, Derecho y Política.3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficient Deep Learning-Based Detection Scheme for MIMO Communication Systems(2025); Jesus Acosta-Elias<jats:p>Multiple input-multiple output (MIMO) is a key enabling technology for the next generation of wireless communication systems. However, one of the main challenges in the implementation of MIMO system is the complexity of the detectors when the number of antennas increases. This aspect will be crucial in the implementation of future massive MIMO systems. A flexible design can offer a convenient tradeoff between detection complexity and bit error rate (BER). Deep learning (DL) has emerged as an efficient method for solving optimization problems in different areas. In MIMO communication systems, neural networks can provide efficient and innovative solutions. This paper presents an efficient DL-based signal detection strategy for MIMO communication systems. More specifically, a preprocessing stage is added to label the input signals. The labeling scheme provides more information about the transmitted symbols for better training. Based on this strategy, two novel schemes are proposed and evaluated considering BER performance and detection complexity. The performance of the proposed schemes is compared with the conventional one-hot (OH) scheme and the optimal maximum likelihood (ML) criterion. The results show that the proposed OH per antenna (OHA) and direct symbol encoding (DSE) schemes reach a classification performance F1-score of 0.97. Both schemes present a lower complexity compared with the conventional OH and the ML schemes, used as references. On the other hand, the OHA and DSE schemes have losses of less than 1 dB and 2 dB in BER performance, respectively, compared to the OH scheme. The proposed strategy can be applied to adaptive systems where computational resources are limited.</jats:p>1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unlocking Antimicrobial Peptides: In Silico Proteolysis and Artificial Intelligence-Driven Discovery from Cnidarian Omics(MDPI, 2025); Antunes, AgostinhoOvercoming the growing challenge of antimicrobial resistance (AMR), which affects millions of people worldwide, has driven attention for the exploration of marine-derived antimicrobial peptides (AMPs) for innovative solutions. Cnidarians, such as corals, sea anemones, and jellyfish, are a promising valuable resource of these bioactive peptides due to their robust innate immune systems yet are still poorly explored. Hence, we employed an in silico proteolysis strategy to search for novel AMPs from omics data of 111 Cnidaria species. Millions of peptides were retrieved and screened using shallow- and deep-learning models, prioritizing AMPs with a reduced toxicity and with a structural distinctiveness from characterized AMPs. After complex network analysis, a final dataset of 3130 Cnidaria singular non-haemolytic and non-toxic AMPs were identified. Such unique AMPs were mined for their putative antibacterial activity, revealing 20 favourable candidates for in vitro testing against important ESKAPEE pathogens, offering potential new avenues for antibiotic development. ©The authors. ©MDPI. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Entrepreneurial Orientation in Social Entrepreneurship: A Systematic Literature Review and Research Agenda(MDPI, 2025); 2