Zobrazeno 1 - 10
of 304
pro vyhledávání: '"IGNACIO ARRIBAS"'
Autor:
Juan Pablo Cuello, Ariana Meldaña Rivera, Enric Monreal, Ana Gómez Lozano, Ana Maria García Cano, Jose Manuel García Domínguez, José Ignacio Fernández Velasco, Lucienne Costa-Frossard França, Haydee Goicochea, Yolanda Higueras, Juan Antonio De León-Luis, Susana Sainz De La Maza, Noelia Villarrubia, Ignacio Arribas Gómez, Irene Ruiz Perez, Maria Luisa Martinez Ginés, Luisa María Villar
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundPatient disability, relapse rate, and age are used for family planning in multiple sclerosis (MS). However, the need for more accurate biomarkers is widely recognized. We aimed to explore the influence of age on neurofilament light chain (s
Externí odkaz:
https://doaj.org/article/56e3c2e4d1bc47e0a4e89da81a6b0857
Publikováno v:
Journal of cellular physiology [J Cell Physiol] 2016 Jun; Vol. 231 (6), pp. 1405.
Publikováno v:
The Egyptian Heart Journal, Vol 74, Iss 1, Pp 1-8 (2022)
Abstract Background Prompt evaluation and treatment of acute coronary syndrome has demonstrated to reduce mortality. Although several biomarkers have been studied for risk stratification and prognostic purposes, none is recommended to guide treatment
Externí odkaz:
https://doaj.org/article/e44089703cb24fa78cb24878c537cea7
Autor:
Ravelo Marrero Alejandro José, Guillén Astete Carlos Antonio, Román Miriam Menacho, Coronado Marta Rosillo, Del Rey Sánchez José Manuel, Lozano Ana Gómez, Terán Tinedo María Andreína, Díaz Mónica Vázquez, Gómez Ignacio Arribas
Publikováno v:
Advances in Laboratory Medicine, Vol 3, Iss 1, Pp 51-58 (2022)
We evaluated the prevalence of 25-hydroxyvitamin D (25-(OH)D) deficiency in our setting according to season, sex, and age. We also studied the association with parathyroid hormone (PTH) levels.
Externí odkaz:
https://doaj.org/article/179b8eaf87244c4abf4dd63faf5af602
Publikováno v:
Journal of Cellular Physiology. 231:1405-1405
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning
Publikováno v:
IEEE Access, Vol 9, Pp 153153-153170 (2021)
Network intrusion detection focuses on classifying network traffic as either normal or attack carrier. The classification is based on information extracted from the network flow packets. This is a complex classification problem with unbalanced datase
Externí odkaz:
https://doaj.org/article/4c5892a1fbab46b99d8583544066a80e
Akademický článek
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Akademický článek
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Autor:
Elham Ilbeygi, Farzad Azadshahraki, Juan Ignacio Arribas, Yousef Abbaspour-gilandeh, Sajad Sabzi, Rouhollah Karimzadeh
Publikováno v:
Journal of Agricultural Sciences, Vol 26, Iss 3, Pp 339-348 (2020)
Non-destructive estimation of the chemical properties of fruit is an important goal of researchers in the food industry, since online operations, such as fruit packaging based on the amount of different chemical properties and determining different s
Externí odkaz:
https://doaj.org/article/2559447ecf9d4727b25e72e1c8e4c13a
Publikováno v:
Journal of Agricultural Sciences, Vol 25, Iss 4, Pp 427-439 (2019)
Segmentation is an important part of each machine vision system that has a direct relationship with the final system accuracy and performance. Outdoors segmentation is often complex and difficult due to both changes in sunlight intensity and the diff
Externí odkaz:
https://doaj.org/article/f6036c90afbf4d2384576fcc82cefcce