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1,277 results on '"Alonso, Antonio A."'

17. Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year study

Author

Novoa, Beatriz, Ríos-Castro, Raquel, Otero-Muras, Irene, Gouveia, Susana, Cabo, Adrián, Saco, Amaro, Rey-Campos, Magalí, Pájaro, Manuel, Fajar, Noelia, Aranguren, Raquel, Romero, Alejandro, Panebianco, Antonella, Valdés, Lorena, Payo, Pedro, Alonso, Antonio A., Figueras, Antonio, and Cameselle, Claudio

Published
2022
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21. Evaluation of a Great Agrovoltaic Implementation in an Isle Using SWOT and TOWS Matrices: Case Study of Gran Canaria Island (Spain).

Author

Pulido-Alonso, Antonio, Quintana-Suárez, José C., Rosales-Asensio, Enrique, Feo-García, José J., and Florido-Suárez, Néstor R.

Subjects
WATER shortages, FARMS, UNEMPLOYMENT statistics, ECOLOGICAL impact, SWOT analysis
Abstract

Nowadays, we are heading towards global decarbonisation, with each sector involved contributing partial solutions to the problem, without realising that an overall vision is necessary. Photovoltaics emerged as a technology that requires a lot of surface area, which is why it has been integrated into buildings and other human infrastructures (BPVI). The effects of the implementation of AVS on an island have been analysed, observing the territory's energy use, population, and social and topographical realities, collecting all the peculiarities that could be affected by a massive implementation of this technology. The method to be followed is a SWOT and TOWS analysis, widely employed in all types of scientific studies. The increase in the island's resilience has been assessed, as has its decreasing its dependence on the outside. In this case, it has been observed that conventional PV is currently being installed on agricultural land to decarbonise electricity production, which mostly relies on oil and does not consider that the island is a territory with a high food dependence on the outside; a high unemployment rate; a high factor of soil desertification, meaning fires are frequent; a high rate of abandonment of agricultural land; and a shortage of flat land. Therefore, we affirm that the island's carbon footprint will increase by not taking all these factors into account. In addition to punishing the local economy by destroying fertile soil, local food and jobs, the current method of energy production increases the need for subsidies to import food products from abroad. In addition, we claim that the use of AVS reduces the water needs of the crop, which is relevant on an island with great water scarcity. It is concluded that 11 of the 17 UN Sustainable Development Goals would be improved with the use of agrovoltaic technology. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Study and Characterisation of Bimetallic Structure (316LSI and S275JR) Made by Hybrid CMT WAAM Process.

Author

Pereira, Alejandro, Alonso, Antonio, Hernández, Primo, Martínez, Javier, Alvarez, David, and Wieczorowski, Michal

Subjects
*FILLER materials, *TENSILE tests, *STRUCTURAL steel, *INDUSTRIAL costs, *MATERIALS testing
Abstract

The main objective of this research is to conduct an experimental investigation of the bimetallic material formed by 316LSI stainless steel and S275JR structural steel, produced via hybrid wire arc additive manufacturing technology with cool metal transfer welding and machining, and with the objective of being able to reduce the industrial cost of certain requirements for one of the materials. A methodological investigation has been carried out starting with welding beads of 316LSI on S275JR plates, followed by overlapping five beads and conducting final experiments with several vertical layers, with or without intermediate face milling. The results achieved optimal bead conditions for wire speeds of 4 m/min and 5 m/min at a travel speed of 400 mm/min. Overlap experiments show that the best deposition results are obtained with an overlap equal to or greater than 28%. Cooling time does not significantly influence the final geometry of the coatings. Regarding metallographic analysis, the filler material presents an austenitic columnar structure. In the base material, a bainitic structure with inferred grain refinement was detected in the heat-affected zone. An increase in hardness is observed in the heat-affected zone. In the results obtained from the tensile tests of the bimetallic material, an increase in mechanical strength and yield strength is observed in the tested specimens. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Alternative CPAP methods for the treatment of secondary serious respiratory failure due to pneumonia by COVID-19

Author

Mateos-Rodríguez, Alonso, Ortega-Anselmi, Justo, Candel-González, Francisco Javier, Canora-Lebrato, Jesús, Fragiel-Saavedra, Marcos, Hernández-Píriz, Alba, Behzadi-Koocahni, Navid, González-del Castillo, Juan, Pérez-Alonso, Antonio, de la Cruz-Conty, María Luisa, García-de Casasola, Gonzalo, Marco-Martínez, Javier, and Zapatero-Gaviria, Antonio

Published
2021
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31. A Flexible Multilevel System for Mitre ATT&CK Model-driven Alerts and Events Correlation in Cyberattacks Detection.

Author

Muñoz-Calle, Javier, Alonso, Rafael Estepa, Estepa Alonso, Antonio, Díaz-Verdejo, Jesús E., Castillo Fernández, Elvira, and Madinabeitia, Germán

Abstract

Network monitoring systems can struggle to detect the full sequence of actions in a multi-step cyber attack, frequently resulting in multiple alerts (some of which are false positive (FP)) and missed actions. The challenge of easing the job of security analysts by triggering a single and accurate alert per attack requires developing and evaluating advanced event correlation techniques and models that have the potential to devise relationships between the different observed events/alerts. This work introduces a flexible architecture designed for hierarchical and iterative correlation of alerts and events. Its key feature is the sequential correlation of operations targeting specific attack episodes or aspects. This architecture utilizes IDS alerts or similar cybersecurity sensors, storing events and alerts in a non-relational database. Modules designed for knowledge creation then query these stored items to generate meta-alerts, also stored in the database. This approach facilitates creating a more refined knowledge that can be built on top of existing one by creating specialized modules. For illustrative purposes, we make a case study where we use this architectural approach to explore the feasibility of monitoring the progress of attacks of increased complexity by increasing the levels of the hyperalerts defined, including a case of a multi-step attack that adheres to the ATT&CK model. Although the mapping between the observations and the model components (i.e., techniques and tactics) is challenging, we could fully monitor the progress of two attacks and up to 5 out of 6 steps of the most complex attack by building up to three specialized modules. Despite some limitations due to the sensors and attack scenarios tested, the results indicate the architecture's potential for enhancing the detection of complex cyber attacks, offering a promising direction for future cybersecurity research. [ABSTRACT FROM AUTHOR]

Published
2024
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32. The first GHEP-ISFG collaborative exercise on forensic applications of massively parallel sequencing

Author

Barrio, Pedro A., García, Óscar, Phillips, Christopher, Prieto, Lourdes, Gusmão, Leonor, Fernández, Coro, Casals, Ferran, Freitas, Jorge M., González-Albo, María del Carmen, Martín, Pablo, Mosquera, Ana, Navarro-Vera, Isabel, Paredes, Manuel, Pérez, Juan Antonio, Pinzón, Andrea, Rasal, Raquel, Ruiz-Ramírez, Jorge, Trindade, Bruno R., and Alonso, Antonio

Published
2020
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50. Anti-Staphy Peptides Rationally Designed from Cry10Aa Bacterial Protein.

Author

Rios, Thuanny Borba, Maximiano, Mariana Rocha, Fernandes, Fabiano Cavalcanti, Amorim, Gabriella Cavalcante, Porto, William Farias, Buccini, Danieli Fernanda, Nieto Marín, Valentina, Feitosa, Gabriel Cidade, Freitas, Carlos Daniel Pereira, Barra, Juliana Bueno, Alonso, Antonio, Grossi de Sá, Maria Fátima, Lião, Luciano Morais, and Franco, Octávio Luiz

Published
2024
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