Zobrazeno 1 - 10
of 803
pro vyhledávání: '"Rafael Sebastián"'
Autor:
José Luis Monroy‐Morales, Rafael Peña‐Alzola, Rafael Sebastián‐Fernández, David Campos‐Gaona, Jerónimo Quesada Castellano, José L. Guardado
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 6, Pp 1040-1054 (2024)
Abstract Wind‐Diesel Hybrid Systems (WDHSs) integrate wind turbines into diesel power systems, reducing costs and emissions in isolated grids. Due to the no‐load consumption of the Diesel Generators (DGs), fuel savings are only possible when the
Externí odkaz:
https://doaj.org/article/f98a4df2306049ff86e87cb59d304d0a
Publikováno v:
Revista del Museo de Antropologia, Vol 17, Iss 1 (2024)
En este trabajo se pasa revista a 35 años de acción del equipo dirigido por uno de los autores de este escrito, como parte de la División Arqueología de la Facultad de Ciencias Naturales y Museo, Universidad Nacional de la Plata y del Consejo Nac
Externí odkaz:
https://doaj.org/article/16f8f2ebd58a4179992b3197f257e187
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 172-183 (2023)
Residential electricity generation can benefit from the successful deployment of photovoltaic (PV) and wind renewable energy sources. However, their intermittent nature poses a significant limitation. To address this, a hybrid system can be employed
Externí odkaz:
https://doaj.org/article/3d336b5690224844aac6ae699650a987
Autor:
Eliseo Zarate-Perez, Rafael Sebastián
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 653-664 (2022)
The dependence on fossil resources remains high, accounting for 80% of the total primary energy production worldwide. In addition, the COVID-19 pandemic has devastated several industries and electric power is no exception. Therefore, renewable energy
Externí odkaz:
https://doaj.org/article/46f7ebfa73e446f990ef285d9dcbeac3
Autor:
Iván Enrique Naranjo Logroño, Anthony Alfonso Naranjo Coronel, Angie Daniela Beltrán Vera, Rafael Sebastián Dávila Santillán
Publikováno v:
ESPOCH Congresses, Vol 1, Iss 6, Pp 66-79 (2021)
Abstract Introduction: The balance of the microbiota is determined by the high diversity and its ability to withstand changes under physiological stress, therefore, its health parameters are the number of microorganisms and the variety of bacterial s
Externí odkaz:
https://doaj.org/article/f0f199cb87a54c10aa86535e454f17a0
Publikováno v:
Revista del Museo de Antropologia, Vol 15, Iss 2 (2022)
En este trabajo, en función de análisis tecno-morfológicos y estadísticos sobre conjuntos de artefactos líticos, desde una perspectiva diacrónica se evalúan y discuten las estrategias tecnológicas relacionadas con la explotación de materias
Externí odkaz:
https://doaj.org/article/045e2bb64c844927b22f0d9847b54d91
Autor:
Juan Manuel Trinidad-Barnech, Rafael Sebastián Fort, Guillermo Trinidad Barnech, Beatriz Garat, María Ana Duhagon
Publikováno v:
Non-Coding RNA, Vol 9, Iss 1, p 15 (2023)
MicroRNAs are small RNAs that regulate gene expression through complementary base pairing with their target mRNAs. A substantial understanding of microRNA target recognition and repression mechanisms has been reached using diverse empirical and bioin
Externí odkaz:
https://doaj.org/article/01094e5270874c5ba9cd3d93b341a6ae
Autor:
Rafael Sebastián
Publikováno v:
Energies, Vol 15, Iss 23, p 9230 (2022)
This article presents an isolated microgrid which combines two renewable power generators: a Hydraulic-Turbine-Generator (HTG) and a Wind-Turbine-Generator (WTG) with a Li-ion battery-energy-storage (BES). Depending on the generator(s) which supply a
Externí odkaz:
https://doaj.org/article/141f066cd5d04fba94ea421ebae31e46
Autor:
Pau Romero, Miguel Lozano, Francisco Martínez-Gil, Dolors Serra, Rafael Sebastián, Pablo Lamata, Ignacio García-Fernández
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
The combination of machine learning methods together with computational modeling and simulation of the cardiovascular system brings the possibility of obtaining very valuable information about new therapies or clinical devices through in-silico exper
Externí odkaz:
https://doaj.org/article/3720adf61ae8450b91959633ab26d7cb
Publikováno v:
F1000Research, Vol 10 (2021)
Background: The vault RNAs (vtRNAs) are a class of 84-141-nt eukaryotic non-coding RNAs transcribed by RNA polymerase III, associated to the ribonucleoprotein complex known as vault particle. Of the four human vtRNA genes, vtRNA1-1, vtRNA1-2 and vtRN
Externí odkaz:
https://doaj.org/article/868679b5e63d4ea1a1c1bd03954ac6b2