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Now showing items 23384-23403 of 37889
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M(C6H16N3)2(VO3)4 as heterogeneous catalysts. Study of three new hybrid vanadates of cobalt(II), nickel(II) and copper(II) with 1-(2-aminoethyl)piperazonium.
Serrano Larrea, Edurne; Mesa Rueda, José Luis; Pizarro Sanz, José Luis
; Iglesias, Marta; Rojo Aparicio, Teófilo ; Arriortua Marcaida, María Isabel (Royal Society of Chemistry, 2011-10-14)
Three new hybrid vanadates have been synthesized under hydrothermal conditions with the formula M(C6H16N3)2(VO3)4, where M= Co(II), Ni(II) and Cu(II). The structural analyses show that the phases are isostructural and ... -
m, s eta k opioide-hartzaileen deskribapena, kokapena eta funtzionaltasuna hozi-zelula maskulinoetan
(2016-01-14)Hainbat ikerketen arabera barne-peptido opioideak arren zelula mota ezberdinetan aurkitzen dira. Honek, sistema opioideak funtzio testikularraren erregulazioan parte hartzen duela adierazten du. Espermatogenesian sistema ... -
M.ª Dolores Dopico Cainzos and M. Villanueva Acuña (eds.), In Roma nata, per Italiam fusa, in provincias manat. A cidade romana no noroeste: novas perspectivas
Alonso Alonso, María Ángeles (Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2020)
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M.ª Dolores Dopico Cainzos and Manuel Villanueva Acuña (eds.), Aut oppressi serviunt... La intervención de Roma en las comunidades indígenas, Philtáte 5, Lugo: Deputación de Lugo y Concello de Lugo, Museo Universitario A domus do Mitreo, 2022, 447 págs. ISBN 978-84-8192-578-4
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2023)... -
m6A Methylated Long Noncoding RNA LOC339803 Regulates Intestinal Inflammatory Response
; ; Sebastián de la Cruz, Maialen; ; ; ; ; Bujanda Fernández de Pierola, Luis ; ; ; (Wiley, 2024-04)
Cytokine mediated sustained inflammation increases the risk to develop different complex chronic inflammatory diseases, but the implicated mechanisms remain unclear. Increasing evidence shows that long noncoding RNAs ... -
MAB. Informe sobre el funcionamiento, organización y actividad del Mercado Alternativo Bursátil
(2016-02-02)El siguiente trabajo es un estudio sobre el Mercado Alternativo Bursátil para empresas en expansión,un modelo de mercado enfocado a PYMES que buscan expandirse.Supone una nueva fórmula de financiación alternativa para este ... -
MAbAdh antigorputz monoklonalaren efektua Candida albicans-en bideragarritasunean
(2017-01-10)Candida albicans onddo komentsalak sortutako infekzioen aurkako anti-Adh1 antigorputz monoklonalaren erabilera. Lan honetan antigorputzak in vitro duen eragina aztertu egiten da; hankuntzan, ezagupenean eta antifungikoekin ... -
Macfarlane, B. (2018). La libertad académica del estudiante en contextos de educación superior
Camino Ortiz de Barrón, Igor (Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2018)
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Machado Pais, José (2007). Chollos, chapuzas y changas. Jóvenes, trabajo precario y futuro. Barcelona: Antrhopos
Carbajo Padilla, Diego (Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2007)
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Machine detection of emotions: feature selection
(2017-01-10)Study of machine emotion recognition, focused on the recognition of sarcasm in sentences in Spanish. The performance ofifferent dimensionality reduction techniques is studied for this problem. -
Machine learning and signal processing algorithms for the analysis of ventilation and airway management in out-of-hospital cardiac arrest
(2023-10-31)La tesis se desarrolla en el ámbito de la parada cardiorrespiratoria extra-hospitalaria (PCEH). Más concretamente, en el desarrollo de algoritmos y metodologías para la caracterización de la resucitación cardiopulmonar ... -
Machine Learning Approach for Modeling and Control of a Commercial Heliocentris FC50 PEM Fuel Cell System
Derbeli, Mohamed; Napole, Cristian; Barambones Caramazana, Oscar (MDPI, 2021-08-26)
In recent years, machine learning (ML) has received growing attention and it has been used in a wide range of applications. However, the ML application in renewable energies systems such as fuel cells is still limited. In ... -
Machine learning approaches to video activity recognition: from computer vision to signal processing
(2023-02-23)La investigación presentada se centra en técnicas de clasificación para dos tareas diferentes, aunque relacionadas, de tal forma que la segunda puede ser considerada parte de la primera: el reconocimiento de acciones humanas ... -
Machine learning based anomaly detection for industry 4.0 systems.
(2023-04-04)This thesis studies anomaly detection in industrial systems using technologies from the Fourth Industrial Revolution (4IR), such as the Internet of Things, Artificial Intelligence, 3D Printing, and Augmented Reality. The ... -
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
; ; Estévez Sanz, Julián; (MDPI, 2024-03-07)
Background: The declaration of the COVID-19 pandemic triggered global efforts to control and manage the virus impact. Scientists and researchers have been strongly involved in developing effective strategies that can help ... -
Machine learning for ecosystem services
(Elsevier, 2018)Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing and exploiting correlations between observed ... -
Machine Learning for the Built Heritage Archaeological Study
Mesanza Moraza, Amaia; García Gómez, Ismael; Azkarate Garai-Olaun, Agustín (Association for Computing Machinery, 2021-02)
The presence of artificial intelligence in our lives is increasing and being applied to fields such as medicine, engineering, telecommunications, remote sensing and 3D visualization. Nevertheless, it has never been used ... -
Machine learning in the EU health care context: exploring the ethical, legal and social issues
; Lazcoz Moratinos, Guillermo; (Taylor and Francis, 2020-07-14)
Diagnosis and clinical decision-making based on Machine Learning technologies are showing significant advances that may change the functioning of our health care systems. They promise more effective and efficient healthcare ... -
Machine learning methods for predictive maintenance using real-time data and time-frequency analysis
(2023-11-30)In this diploma thesis, different techniques of Predictive Maintenance based on Machine Learning are compared. In particular, the Remaining Useful Life of a ball bearing of the shaft of a Wind Turbine was predicted with ...