PI and LQR controllers for Frequency Regulation including Wind Generation

The increasing use of renewable technologies such as wind turbines in power systems may require the contribution of these new sources into grid ancillary services, such as Load Frequency Control. Hence, this work dealt with the performance comparison of two traditional control structures, PI and LQR, for secondary regulation of Load Frequency Control with the participation of variable-speed wind turbines. For this purpose, the doubly-fed induction generator wind turbine was modeled with additional control loops for emulation of the inertial response of conventional machines for frequency regulation tasks. Performance of proposed strategies was verified through simulation in a benchmark adapted from the WSCC 3 machines 9-bus test system. Results showed overall superior performance for LQR controller, although requiring more strenuous control effort from conventional units than PI control

The Tunneling Potential Approach to Q-Balls

Q-balls are bound-state configurations of complex scalars stabilized by a conserved Noether charge Q. They are solutions to a second-order differential equation that is structurally identical to Euclidean vacuum-decay bounce solutions in three dimensions. This enables us to translate the recent tunneling potential approach to Q-balls, which amounts to a reformulation of the problem that can simplify the task of finding approximate and even exact Q-ball solutions.Comment: 16 page

Inventory control system by QR codes for the Teletecno research group

En el siguiente artículo se describe el desarrollo e implementación de un sistema de control de inventario mediante códigos QR, el cual será empleado por el grupo de investigación TELETECNO de la Universidad Distrital Francisco José de Caldas en la Facultad Tecnológica; con el fin de facilitar el acceso a la información de los instrumentos que se encuentran allí, de esta manera los estudiantes podrán hacer uso de ellos, ya sea en un trabajo de investigación o en el desarrollo de un proyecto.The following article describes the development and implementation of an inventory control system using QR codes, which will be used by the TELETECNO research group of the Francisco José de Caldas District University in the Technological Faculty; In order to facilitate access to the information of the instruments that are there, in this way the students will be able to make use of them, either in a research work or in the development of a project

Synthesis and TL Characterization of Li2B4O7 Doped with Cooper and Manganese

Copper (Cu) and manganese (Mn) doped tissue equivalent Li2B4O7 were prepared by solid state sintering. The glow curves shows a high temperature peak at 222 °C for Li2B4O7:Cu and for Li2B4O7:Mn at 218 °C. Linear dose response is observed up to 140 Gy. With a thermal treatment at 125 °C, the first peak of the phosphors doped with copper (95 °C) and manganese (90 °C) disappears and the main TL peaks remain isolated. The dose rate dependence was studied by exposing the samples at doses of 25 Gy and 250 Gy. At low dose it was observed that the Li2B4O7:Cu TL response has non-dependence on dose rate, and at higher dose was observed that there is a dependence of the TL response with the different dose rateFil: Guarneros Aguilar, C.. Benemérita Universidad Autónoma de Puebla. Facultad de Ciencias Físico-Matemáticas. Posgrado en Física Aplicada; MéxicoFil: Cruz Zaragoza, E.. Universidad Nacional Autónoma de México. Instituto de Ciencias Nucleares. Unidad de Irradiación y Seguridad Radiológica; MicronesiaFil: Marcazzo, Salvador Julian. Universidad Nacional del Centro de la Provincia de Bs.as.. Facultad de Ciencias Exactas. Instituto de Fisica Arroyo Seco; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; ArgentinaFil: Palomino Merino, R.. Benemérita Universidad Autónoma de Puebla. Facultad de Ciencias Físico-Matemáticas. Posgrado en Física Aplicada; MéxicoFil: Espinosa, J.. Benemérita Universidad Autónoma de Puebla. Facultad de Ciencias Físico-Matemáticas. Posgrado en Física Aplicada; Méxic

A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

[EN] In the current world we live immersed in online applications, being one of the most present of them Social Network Sites (SNSs), and different issues arise from this interaction. Therefore, there is a need for research that addresses the potential issues born from the increasing user interaction when navigating. For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies. For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed. We review with special attention works using MAS technologies for user recommendation and guiding. Through the analysis of previous approaches on detection of the user state and risk prevention in SNSs we elaborate potential future lines of work that might lead to future applications where users can navigate and interact between each other in a more safe way.This work was funded by the project TIN2017-89156-R of the Spanish government.Aguado-Sarrió, G.; Julian Inglada, VJ.; García-Fornes, A.; Espinosa Minguet, AR. (2020). A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis. Applied Sciences. 10(19):1-29. https://doi.org/10.3390/app10196746S1291019Vanderhoven, E., Schellens, T., Vanderlinde, R., & Valcke, M. (2015). Developing educational materials about risks on social network sites: a design based research approach. Educational Technology Research and Development, 64(3), 459-480. doi:10.1007/s11423-015-9415-4Teens and ICT: Risks and Opportunities. Belgium: TIRO http://www.belspo.be/belspo/fedra/proj.asp?l=en&COD=TA/00/08Risks and Safety on the Internet: The Perspective of European Children: Full Findings and Policy Implications From the EU Kids Online Survey of 9–16 Year Olds and Their Parents in 25 Countries http://eprints.lse.ac.uk/33731/Vanderhoven, E., Schellens, T., & Valcke, M. (2014). Educating teens about the risks on social network sites. An intervention study in Secondary Education. Comunicar, 22(43), 123-132. doi:10.3916/c43-2014-12Christofides, E., Muise, A., & Desmarais, S. (2012). Risky Disclosures on Facebook. Journal of Adolescent Research, 27(6), 714-731. doi:10.1177/0743558411432635George, J. M., & Dane, E. (2016). Affect, emotion, and decision making. Organizational Behavior and Human Decision Processes, 136, 47-55. doi:10.1016/j.obhdp.2016.06.004Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management, 53(1), 106-121. doi:10.1016/j.ipm.2016.06.009Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12), 2544-2558. doi:10.1002/asi.21416Shoumy, N. J., Ang, L.-M., Seng, K. P., Rahaman, D. M. M., & Zia, T. (2020). Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals. Journal of Network and Computer Applications, 149, 102447. doi:10.1016/j.jnca.2019.102447Zhang, C., Zeng, D., Li, J., Wang, F.-Y., & Zuo, W. (2009). Sentiment analysis of Chinese documents: From sentence to document level. Journal of the American Society for Information Science and Technology, 60(12), 2474-2487. doi:10.1002/asi.21206Lu, B., Ott, M., Cardie, C., & Tsou, B. K. (2011). Multi-aspect Sentiment Analysis with Topic Models. 2011 IEEE 11th International Conference on Data Mining Workshops. doi:10.1109/icdmw.2011.125Nasukawa, T., & Yi, J. (2003). Sentiment analysis. Proceedings of the international conference on Knowledge capture - K-CAP ’03. doi:10.1145/945645.945658Borth, D., Ji, R., Chen, T., Breuel, T., & Chang, S.-F. (2013). Large-scale visual sentiment ontology and detectors using adjective noun pairs. Proceedings of the 21st ACM international conference on Multimedia - MM ’13. doi:10.1145/2502081.2502282Deb, S., & Dandapat, S. (2019). Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions. IEEE Transactions on Affective Computing, 10(3), 360-373. doi:10.1109/taffc.2017.2730187Deng, J., Zhang, Z., Marchi, E., & Schuller, B. (2013). Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition. 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. doi:10.1109/acii.2013.90Nicolaou, M. A., Gunes, H., & Pantic, M. (2011). Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space. IEEE Transactions on Affective Computing, 2(2), 92-105. doi:10.1109/t-affc.2011.9Hossain, M. S., Muhammad, G., Alhamid, M. F., Song, B., & Al-Mutib, K. (2016). Audio-Visual Emotion Recognition Using Big Data Towards 5G. Mobile Networks and Applications, 21(5), 753-763. doi:10.1007/s11036-016-0685-9Zhou, F., Jianxin Jiao, R., & Linsey, J. S. (2015). Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews. Journal of Mechanical Design, 137(7). doi:10.1115/1.4030159Ceci, F., Goncalves, A. L., & Weber, R. (2016). A model for sentiment analysis based on ontology and cases. IEEE Latin America Transactions, 14(11), 4560-4566. doi:10.1109/tla.2016.7795829Vizer, L. M., Zhou, L., & Sears, A. (2009). Automated stress detection using keystroke and linguistic features: An exploratory study. International Journal of Human-Computer Studies, 67(10), 870-886. doi:10.1016/j.ijhcs.2009.07.005Feldman, R. (2013). Techniques and applications for sentiment analysis. Communications of the ACM, 56(4), 82-89. doi:10.1145/2436256.2436274Schouten, K., & Frasincar, F. (2016). Survey on Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 28(3), 813-830. doi:10.1109/tkde.2015.2485209Ji, R., Cao, D., Zhou, Y., & Chen, F. (2016). Survey of visual sentiment prediction for social media analysis. Frontiers of Computer Science, 10(4), 602-611. doi:10.1007/s11704-016-5453-2Li, L., Cao, D., Li, S., & Ji, R. (2015). Sentiment analysis of Chinese micro-blog based on multi-modal correlation model. 2015 IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip.2015.7351718Lee, P.-M., Tsui, W.-H., & Hsiao, T.-C. (2015). The Influence of Emotion on Keyboard Typing: An Experimental Study Using Auditory Stimuli. PLOS ONE, 10(6), e0129056. doi:10.1371/journal.pone.0129056Matsiola, M., Dimoulas, C., Kalliris, G., & Veglis, A. A. (2018). Augmenting User Interaction Experience Through Embedded Multimodal Media Agents in Social Networks. Information Retrieval and Management, 1972-1993. doi:10.4018/978-1-5225-5191-1.ch088Rosaci, D. (2007). CILIOS: Connectionist inductive learning and inter-ontology similarities for recommending information agents. Information Systems, 32(6), 793-825. doi:10.1016/j.is.2006.06.003Buccafurri, F., Comi, A., Lax, G., & Rosaci, D. (2016). Experimenting with Certified Reputation in a Competitive Multi-Agent Scenario. IEEE Intelligent Systems, 31(1), 48-55. doi:10.1109/mis.2015.98Rosaci, D., & Sarnè, G. M. L. (2014). Multi-agent technology and ontologies to support personalization in B2C E-Commerce. Electronic Commerce Research and Applications, 13(1), 13-23. doi:10.1016/j.elerap.2013.07.003Singh, A., & Sharma, A. (2017). MAICBR: A Multi-agent Intelligent Content-Based Recommendation System. Lecture Notes in Networks and Systems, 399-411. doi:10.1007/978-981-10-3920-1_41Villavicencio, C., Schiaffino, S., Diaz-Pace, J. A., Monteserin, A., Demazeau, Y., & Adam, C. (2016). A MAS Approach for Group Recommendation Based on Negotiation Techniques. Lecture Notes in Computer Science, 219-231. doi:10.1007/978-3-319-39324-7_19Rincon, J. A., de la Prieta, F., Zanardini, D., Julian, V., & Carrascosa, C. (2017). Influencing over people with a social emotional model. Neurocomputing, 231, 47-54. doi:10.1016/j.neucom.2016.03.107Aguado, G., Julian, V., Garcia-Fornes, A., & Espinosa, A. (2020). A Multi-Agent System for guiding users in on-line social environments. Engineering Applications of Artificial Intelligence, 94, 103740. doi:10.1016/j.engappai.2020.103740Aguado, G., Julián, V., García-Fornes, A., & Espinosa, A. (2020). Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks. Applied Sciences, 10(11), 3754. doi:10.3390/app10113754Camara, M., Bonham-Carter, O., & Jumadinova, J. (2015). A multi-agent system with reinforcement learning agents for biomedical text mining. Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics. doi:10.1145/2808719.2812596Lombardo, G., Fornacciari, P., Mordonini, M., Tomaiuolo, M., & Poggi, A. (2019). A Multi-Agent Architecture for Data Analysis. Future Internet, 11(2), 49. doi:10.3390/fi11020049Schweitzer, F., & Garcia, D. (2010). An agent-based model of collective emotions in online communities. The European Physical Journal B, 77(4), 533-545. doi:10.1140/epjb/e2010-00292-

Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks

[EN] Nowadays there is a strong integration of online social platforms and applications with our daily life. Such interactions can make risks arise and compromise the information we share, thereby leading to privacy issues. In this work, a proposal that makes use of a software agent that performs sentiment analysis and another performing stress analysis on keystroke dynamics data has been designed and implemented. The proposal consists of a set of new agents that have been integrated into a multi-agent system (MAS) for guiding users interacting in online social environments, which has agents for sentiment and stress analysis on text. We propose a combined analysis using the different agents. The MAS analyzes the states of the users when they are interacting, and warns them if the messages they write are deemed negative. In this way, we aim to prevent potential negative outcomes on social network sites (SNSs). We performed experiments in the laboratory with our private SNS Pesedia over a period of one month, so we gathered data about text messages and keystroke dynamics data, and used the datasets to train the artificial neural networks (ANNs) of the agents. A set of experiments was performed for discovering which analysis is able to detect a state of the user that propagates more in the SNS, so it may be more informative for the MAS. Our study will help develop future intelligent systems that utilize user data in online social environments for guiding or helping them in their social experience.This work was funded by the project TIN2017-89156-R of the Spanish government.Aguado-Sarrió, G.; Julian Inglada, VJ.; García-Fornes, A.; Espinosa Minguet, AR. (2020). Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks. Applied Sciences. 10(11):1-20. https://doi.org/10.3390/app10113754S1201011O’Keeffe, G. S., & Clarke-Pearson, K. (2011). The Impact of Social Media on Children, Adolescents, and Families. PEDIATRICS, 127(4), 800-804. doi:10.1542/peds.2011-0054George, J. M., & Dane, E. (2016). Affect, emotion, and decision making. Organizational Behavior and Human Decision Processes, 136, 47-55. doi:10.1016/j.obhdp.2016.06.004Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management, 53(1), 106-121. doi:10.1016/j.ipm.2016.06.009Aguado, G., Julian, V., & Garcia-Fornes, A. (2018). Towards Aiding Decision-Making in Social Networks by Using Sentiment and Stress Combined Analysis. Information, 9(5), 107. doi:10.3390/info9050107Schouten, K., & Frasincar, F. (2016). Survey on Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 28(3), 813-830. doi:10.1109/tkde.2015.2485209Lee, P.-M., Tsui, W.-H., & Hsiao, T.-C. (2015). The Influence of Emotion on Keyboard Typing: An Experimental Study Using Auditory Stimuli. PLOS ONE, 10(6), e0129056. doi:10.1371/journal.pone.0129056Vizer, L. M., Zhou, L., & Sears, A. (2009). Automated stress detection using keystroke and linguistic features: An exploratory study. International Journal of Human-Computer Studies, 67(10), 870-886. doi:10.1016/j.ijhcs.2009.07.005Huang, F., Zhang, X., Zhao, Z., Xu, J., & Li, Z. (2019). Image–text sentiment analysis via deep multimodal attentive fusion. Knowledge-Based Systems, 167, 26-37. doi:10.1016/j.knosys.2019.01.019Mehrabian, A. (1996). Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament. Current Psychology, 14(4), 261-292. doi:10.1007/bf02686918Ulinskas, M., Damaševičius, R., Maskeliūnas, R., & Woźniak, M. (2018). Recognition of human daytime fatigue using keystroke data. Procedia Computer Science, 130, 947-952. doi:10.1016/j.procs.2018.04.09

Modelo multicriterio para el soporte a la toma de decisiones de implementación de un programa de logística inversa en una empresa de la región

En este proyecto se plantea un modelo multicriterio ANP, con el fin de dar soporte a las decisiones de implementación de un programa de logística inversa en una empresa del sector plástico, logrando así, ayudar a la organización a identificar en qué grado se justifica iniciar un programa de logística inversa, con el fin de seleccionar aquella alternativa que genere un mayor valor agregado en la gestión de la cadena de suministro.PregradoINGENIERO(A) EN INDUSTRIA

Caracterización fisicoquímica y actividad antioxidante de gulupa (passiflora edulis Sims var. edulis) colectada en la región de Anaime municipio de Cajamarca

Ficha de caracterización, diagrama climatologico, fotos, protocolos, tablas analisis de varianza ANOVALa gulupa (Passiflora edulis Sims var. edulis), es considerada como un fruto exótico con características sensoriales notables como su coloración morada, fragante olor y sabor agridulce. La región de Anaime ubicada en el Municipio de Cajamarca – Tolima, se caracteriza por su altitud y clima húmedo, propicio para el cultivo de este fruto. El objetivo del trabajo fue analizar las características fisicoquímicas y actividad antioxidante de una fracción de la parte comestible del fruto de la gulupa, cultivada en la zona de estudio. Los parámetros humedad, actividad de agua (aw), potencial de hidrógeno (pH), acidez total titulable (ATT), conductividad eléctrica, solidos solubles totales (SST – °Brix), densidad relativa, color, cenizas, minerales (Sodio, Zinc, Magnesio y Potasio), Fenoles Totales, Flavonoides y actividad antioxidante por los métodos de FRAP y ABTS, fueron evaluados por triplicado en muestras colectadas de diferentes cultivos ubicados en la finca La Florida, de la región de Anaime, municipio de Cajamarca – Tolima. La fracción de la pulpa comestible de la gulupa presenta resultados con diferencias significativas en todos los parámetros evaluados, con valores promedio de humedad ( 78,0 – 81,2 %), actividad de agua (aw) (0,96 – 0,99), presentando carácter acido, pH entre (2,67 – 2,96), ATT entre (3,13 – 5,59 %) de ácido cítrico, conductividad eléctrica con rangos de (3,23 – 4,51) mS/cm, SST (14,4 - 16,6 °Brix), presento una densidad relativa de (1,07 – 1,09 g/cm3), para color reporta una luminosidad L*= (63,8 – 68,7), con tendencia hacia las tonalidades rojo a*= (6,38 – 9,10) y amarillo b*= (44,2 – 59,7), el ángulo de tono (h) reporta un valor mínimo de (78,6) y un máximo de (83,4), asociados a estados de maduración intermedios y a cambios de color amarillo – verde a morado oscuro y una cromaticidad promedio de (45,1 – 60,1), en cuanto a % de cenizas se obtuvo (0,28 – 0,66 %), con respecto a los minerales evaluados, se obtuvo para Sodio (3,05 – 7,22), Zinc (11,4 – 17,7), Potasio (48,0 – 92,0) y Magnesio (16,1 – 24,6) mg/Kg, Fenoles Totales de (132,2 – 179,9) mg de ácido gálico/100 g de muestra, Flavonoides (1,85 – 4,18) mg de quercetina/100 g de muestra. La fracción comestible de la gulupa, presentó un alto contenido en fenoles totales y flavonoides que se encuentran ligados a la capacidad antioxidante, que presenta esta parte de fruto que fue confirmada por los métodos de ABTS (0,56 – 0,89) mg equivalente de Trolox / 100 g de muestra y FRAP (10,1 – 43,2) mg Trolox / 100 g de muestra. La caracterización fisicoquímica de la fracción comestible de gulupa producida en el sector de Anaime municipio de Cajamarca-Tolima, permite identificar sus posibles usos y potencialidades para el desarrollo de nuevos productos en el sector alimenticio, atribuyéndole de esta forma un valor agregado al fruto en fresco.The gulupa (Passiflora edulis Sims var. edulis), is considered an exotic fruit with notable sensory characteristics such as its purple coloration, fragrant smell and bittersweet flavor. The Anaime region located in the Municipality of Cajamarca - Tolima, is well-known by its altitude and humid climate, which is good to the cultivation of this fruit. The objective of the work was to analyze the physicochemical characteristics and antioxidant activity of a fraction of the edible part of the gulupa fruit, cultivated in the study area. The parameters humidity, water activity (aw), hydrogen potential (pH), titulable total acidity (ATT), electrical conductivity, total soluble solids (SST - ° Brix), relative density, color, ash, minerals (Sodium, Zinc, Magnesium and Potassium), Total Phenols, Flavonoids and antioxidant activity by the FRAP and ABTS methods, were evaluated in triplicate in samples collected from different crops located on the La Florida farm, in the Anaime region, Cajamarca - Tolima municipality. The fraction of the edible pulp of the gulupa presents results with significant differences in all the parameters evaluated, with average humidity values (78.0 - 81.2 %), water activity (aw) (0.96 - 0.99), presenting acid character, pH between (2.67 - 2.96), ATT between (3.13 - 5.59 %) of citric acid, electrical conductivity with ranges of (3.23 - 4.51) mS / cm, SST (14.4 - 16.6 ° Brix), presented a relative density of (1.07 - 1.09 g / cm3), for color it reports a luminosity L * = (63.8 - 68.7), with a tendency towards the shades red a * = (6.38 - 9.10) and yellow b * = (44.2 - 59.7), the tone angle (h) reports a minimum value of (78.6) and a maximum of (83.4) associated with intermediate maturation states and yellow-green to dark purple color changes and an average chromaticity of (45.1 - 60.1), in terms of % ash obtained (0.28 - 0.66%), with respect to the evaluated minerals, it was obtained for Sodium (3.05 - 7.22), Zinc (11.4 - 17, 7), Potassium (48.0 - 92.0) and Magnesium (16.1 - 24.6) mg / Kg, Total Phenols of (132.2 - 179.9) mg of gallic acid / 100 g of sample, Flavonoids (1,85 - 4,18) mg of quercetin / 100 g of sample. The edible fraction of the gulupa had a high content of total phenols and flavonoids that are linked to the antioxidant capacity of this part of the fruit, which was confirmed by the ABTS methods (0.56 - 0.89) mg equivalent of Trolox / 100 g of sample and FRAP (10.1 - 43.2) mg Trolox / 100 g of sample. The physicochemical characterization of the edible fraction of gulupa produced in the Anaime sector, municipality of Cajamarca-Tolima, allows us to identify its possible uses and potentialities for the development of new products in the food sector, attributing an additional value to fresh fruit

Diseño de un plan estratégico en la empresa Fianza Crédito Inmobiliario de Santander S.A.

113 Páginas.En un mundo en permanente mutación en que las fuerzas del cambios trastocan constantemente, la inercia y los hábitos organizacionales; se ve la necesidad de que las organizaciones tengan muy claramente definido y puedan aplicar la estrategia planeada, por lo cual el presente proyecto de investigación se enfocará en el estudio y análisis de posibles líneas de actuaciones futuras, a través de la utilización de herramientas administrativas, estructuradas, con método de estudio mixto a fin de no solo conocer los resultados cuantitativos que aportará, si no los efectos cualitativos que tendrá como resultado la aplicación de la prospectiva estratégica. Por consiguiente se plantea el problema objeto de estudio, el objetivo general y los objetivos específicos que se pretenden alcanzar, el análisis del diagnóstico estratégico, análisis de futuros probables y posibles, Juego de Actores, formulación e implementación de la estrategia diseñada para la compañía Fianzacredito Inmobiliario de Santander S.A