Recent Submissions

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    Designing for Shape Memory in Additive Manufacturing of Cu–Al–Ni Shape Memory Alloy Processed by Laser Powder Bed Fusion 

    Pérez Cerrato, Mikel; Fraile, Itziar; Gómez Cortés, José Fernando; Urionabarrenetxea, Ernesto; Ruiz Larrea, María Isabel; González, Iban; Nó Sánchez, María Luisa; Burgos, Nerea; San Juan Núñez, José María (MDPI, 2022-09-09)
    Shape memory alloys (SMAs) are functional materials that are being applied in practically all industries, from aerospace to biomedical sectors, and at present the scientific and technologic communities are looking to gain ...
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    Functional Delineation of a Protein–Membrane Interaction Hotspot Site on the HIV-1 Neutralizing Antibody 10E8 

    Insausti González, Sara; García Porras, Miguel; Torralba Iturbe, Johana; Morillo Melero, Izaskun; Ramos Caballero, Ander; de la Arada, Igor; Apellaniz Unzalu, Beatriz ORCID; Caaveiro, Jose M.M.; Carravilla Palomanes, Pablo ORCID; Eggeling, Christian; Rujas Díez, Edurne; Nieva Escandón, José Luis (MDPI, 2022-09-15)
    Antibody engagement with the membrane-proximal external region (MPER) of the envelope glycoprotein (Env) of HIV-1 constitutes a distinctive molecular recognition phenomenon, the full appreciation of which is crucial for ...
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    Analysis of Pyrolysis Kinetic Parameters Based on Various Mathematical Models for More than Twenty Different Biomasses: A Review 

    Alvarado Flores, José Juan; Alcaraz Vera, Jorge Víctor; Ávalos Rodríguez, María Liliana; López Sosa, Luis Bernardo; Rutiaga Quiñones, José Guadalupe; Pintor Ibarra, Luís Fernando; Márquez Montesino, Francisco; Aguado Zárraga, Roberto ORCID (MDPI, 2022-09-07)
    Today, energy use is an important and urgent issue for economic development worldwide. It is expected that raw material in the form of biomass and lignocellulosic residues will become increasingly significant sources of ...
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    Reviewing and Discussing Graph Reduction in Edge Computing Context 

    Garmendia Orbegozo, Asier; Núñez González, José David; Antón, Miguel Ángel (MDPI, 2022-09-16)
    Much effort has been devoted to transferring efficiently different machine-learning algorithms, and especially deep neural networks, to edge devices in order to fulfill, among others, real-time, storage and energy-consumption ...

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