Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Mauricio A Barrientos"'
Autor:
Antonio Aranis, Gonzalo Muñoz, JC Quiroz, Rodrigo Wiff, Alejandra Gómez, Mauricio A Barrientos
Publikováno v:
Latin American Journal of Aquatic Research, Vol 42, Iss 5, Pp 1063-1071 (2014)
La pesquería artesanal de cerco multiespecífica que opera en aguas interiores de Chiloé captura sardina común (Strangomera bentincki) y sardina austral (Sprattus fuegensis) al mismo tiempo y en la misma área. Debido a la gran similitud morfológ
Externí odkaz:
https://doaj.org/article/0c835d8e80eb4e7c8b16f9219589414b
Autor:
Rodrigo Wiff, Juan Carlos Quiroz, Claudio Gatica, Francisco Contreras, Jorge Paramo, Mauricio A Barrientos
Publikováno v:
Latin American Journal of Aquatic Research, Vol 40, Iss 1, Pp 201-212 (2012)
Alfonsino (Beryx splendens) is a species associated with seamounts, with an important fishery in Juan Fernandez archipelago, Chile (33°40'S, 79°00'W). Since 2004, this resource has been managed by catch quotas estimated from stock assessment models
Externí odkaz:
https://doaj.org/article/42f38539a4bc4dabaaf1fced7ad787d6
Publikováno v:
Latin American Journal of Aquatic Research, Vol 39, Iss 2, Pp 316-326 (2011)
El congrio dorado (Genypterus blacodes) es un pez demersal de gran importancia económica en la pesquería multiespecífica y multiflota que opera en la zona sur-austral de Chile (41°28'-57°00'S). Desde principio de los años noventas se consideró
Externí odkaz:
https://doaj.org/article/128de2eb6f5443ddb8779c20e18c4740
Publikováno v:
Latin American Journal of Aquatic Research, Vol 39, Iss 1, Pp 71-81 (2011)
Para emplear la captura por unidad de esfuerzo (CPUE) como índice de abundancia se debe realizar normalmente un proceso de estandarización que consiste en aislar desde las series de tiempo de CPUE todos aquellos efectos exógenos a las variaciones
Externí odkaz:
https://doaj.org/article/07989d821ba548f5914904e83d571b1e
Autor:
María Magdalena Martínez-Jaime, Hortensia Reyes-Morales, Ixchel Peyrot-Negrete, Mauricio Sebastián Barrientos-Álvarez
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background In Mexico, this pioneering research was undertaken to assess the accessibility of timely diagnosis of Dyads [Children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) and their primary caregivers] at specialize
Externí odkaz:
https://doaj.org/article/4919861df76748998c3f222f62ce20e9
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0141538 (2015)
The food consumption to biomass ratio (C) is one of the most important population parameters in ecosystem modelling because its quantifies the interactions between predator and prey. Existing models for estimating C in fish populations are per-recrui
Externí odkaz:
https://doaj.org/article/090babd4fa384a7383f2c64a24afda6b
Publikováno v:
Frontiers in psychology. 13
Metacognitive ability has been described as an important predictor of several processes involved in learning, including problem-solving. Although this relationship is fairly documented, little is known about the mechanisms that could modulate it. Giv
Publikováno v:
New Zealand Journal of Marine and Freshwater Research. 54:218-232
Genypterus blacodes, in terms of its fishing history and local economic importance, is an emblematic species harvested in Chilean Patagonia (41°00’–57°00’S). Most of the current fisheries and biolo...
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779634
ICCS (2)
ICCS (2)
A novel numerical method, based on a machine learning approach, is used to solve an inverse problem involving the Dirichlet eigenfrequencies for the elasticity operator in a bounded domain filled with a composite material. The inhomogeneity of the ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b11d43455143c58638a89885d167bec
https://doi.org/10.1007/978-3-030-77964-1_34
https://doi.org/10.1007/978-3-030-77964-1_34
Neural network solution to an inverse problem associated with the eigenvalues of the Stokes operator
Publikováno v:
Comptes Rendus Mécanique. 346:39-47
A numerical method, based on the design of two artificial neural networks, is presented in order to approximate the viscosity and density features of fluids from the eigenvalues of the Stokes operator. The finite element method is used to solve the d