Výsledky vyhledávání - "Javier, Naranjo"

Akademický článek

Real clinical experience after one year of treatment with tolvaptan in patients with autosomal dominant polycystic kidney disease

Autor: Javier Naranjo, Francisco Borrego, José Luis Rocha, Mercedes Salgueira, Maria Adoración Martín-Gomez, Cristhian Orellana, Ana Morales, Fernando Vallejo, Pilar Hidalgo, Francisca Rodríguez, Remedios Garófano, Isabel González, Rafael Esteban, Mario Espinosa

Publikováno v: Frontiers in Medicine, Vol 9 (2022)

BackgroundTolvaptan (TV) is the first vasopressin-receptor antagonist approved for the treatment of autosomal dominant polycystic kidney disease (ADPKD). No publications report TV experience in real clinical practice during the first year of treatmen

Externí odkaz: https://doaj.org/article/d05ba1f52546485cbf29ba449c183e8a

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Akademický článek

Impacto del ejercicio físico en pacientes con enfermedad renal crónica: revisión sistemática y metaanálisis

Autor: Florentino Villanego, Javier Naranjo, Luis Alberto Vigara, Juan Manuel Cazorla, Maria Elisa Montero, Teresa García, Julia Torrado, Auxiliadora Mazuecos

Publikováno v: Nefrología, Vol 40, Iss 3, Pp 237-252 (2020)

Resumen: El ejercicio físico podría ofrecer múltiples beneficios al paciente con enfermedad renal crónica (ERC). No obstante, tradicionalmente no se recomendaba por la posibilidad de deteriorar la función renal y aumentar la proteinuria. El obje

Externí odkaz: https://doaj.org/article/c099e9176f314744a3edca33e3dc0366

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Akademický článek

Impact of physical exercise in patients with chronic kidney disease: Systematic review and meta-analysis

Autor: Florentino Villanego, Javier Naranjo, Luis Alberto Vigara, Juan Manuel Cazorla, Maria Elisa Montero, Teresa García, Julia Torrado, Auxiliadora Mazuecos

Publikováno v: Nefrología (English Edition), Vol 40, Iss 3, Pp 237-252 (2020)

Physical exercise may offer multiple benefits to patients with chronic kidney disease (CKD). However, it was not traditionally recommended because of the possibility of impairing renal function and increasing proteinuria. The objective of this study

Externí odkaz: https://doaj.org/article/fcda1c9286c1488295c189a20411bc92

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Akademický článek

Acoustic Scene Classification With Squeeze-Excitation Residual Networks

Autor: Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos

Publikováno v: IEEE Access, Vol 8, Pp 112287-112296 (2020)

Acoustic scene classification (ASC) is a problem related to the field of machine listening whose objective is to classify/tag an audio clip in a predefined label describing a scene location (e. g. park, airport, etc.). Many state-of-the-art solutions

Externí odkaz: https://doaj.org/article/8e621145155447abae89bd02fd06a8d0

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Akademický článek

A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification

Autor: Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martin-Morato, Pedro Zuccarello, Francesc J. Ferri, Maximo Cobos

Publikováno v: IEEE Access, Vol 8, Pp 188875-188882 (2020)

Residual learning is known for being a learning framework that facilitates the training of very deep neural networks. Residual blocks or units are made up of a set of stacked layers, where the inputs are added back to their outputs with the aim of cr

Externí odkaz: https://doaj.org/article/01c09393e2544aefb8bf50668de4e118

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