Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Ramón Gallego"'
Autor:
Ramón Gallego, María Belén Arias, Andrea Corral-Lou, Cristina Díez-Vives, Erika F. Neave, Cai Wang, Paco Cárdenas, Karin Steffen, Sergio Taboada, Adriana Villamor, Ellen Kenchington, Stefano Mariani, Ana Riesgo
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract The deep-sea remains the biggest challenge to biodiversity exploration, and anthropogenic disturbances extend well into this realm, calling for urgent management strategies. One of the most diverse, productive, and vulnerable ecosystems in t
Externí odkaz:
https://doaj.org/article/07b341e9f3f74ea5820e21f6580b3ae2
Autor:
Zachary Gold, Andrew Olaf Shelton, Helen R Casendino, Joe Duprey, Ramón Gallego, Amy Van Cise, Mary Fisher, Alexander J Jensen, Erin D'Agnese, Elizabeth Andruszkiewicz Allan, Ana Ramón-Laca, Maya Garber-Yonts, Michaela Labare, Kim M Parsons, Ryan P Kelly
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285674 (2023)
Metabarcoding is a powerful molecular tool for simultaneously surveying hundreds to thousands of species from a single sample, underpinning microbiome and environmental DNA (eDNA) methods. Deriving quantitative estimates of underlying biological comm
Externí odkaz:
https://doaj.org/article/e7eb223b90bf42c6a4a1c79cc7ce7db0
Publikováno v:
Frontiers in Ecology and Evolution, Vol 9 (2021)
Harmful algae can have profound economic, environmental, and social consequences. As the timing, frequency, and severity of harmful algal blooms (HABs) change alongside global climate, efficient tools to monitor and understand the current ecological
Externí odkaz:
https://doaj.org/article/7af75dc5dabe487da9218159cb49c773
Autor:
Emily Jacobs-Palmer, Ramón Gallego, Ana Ramón-Laca, Emily Kunselman, Kelly Cribari, Micah Horwith, Ryan P. Kelly
Publikováno v:
PeerJ, Vol 8, p e8869 (2020)
Seagrass beds provide a variety of ecosystem services, both within and outside the bounds of the habitat itself. Here we use environmental DNA (eDNA) amplicons to analyze a broad cross-section of taxa from ecological communities in and immediately su
Externí odkaz:
https://doaj.org/article/f5ef663367884f828da1f09f3e01d041
Publikováno v:
PeerJ, Vol 6, p e4521 (2018)
We can recover genetic information from organisms of all kinds using environmental sampling. In recent years, sequencing this environmental DNA (eDNA) has become a tractable means of surveying many species using water, air, or soil samples. The techn
Externí odkaz:
https://doaj.org/article/7efb515d61064bcf905b7954ee08815d
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 59, Pp 122-132 (2011)
En este trabajo se analiza el estado actual de las diferentes metodologías para determinar posiciones dominantes en el mercado eléctrico mayorista Colombiano. Se indica la existencia de una aproximación en el cálculo del Índice de Lerner (IL), p
Externí odkaz:
https://doaj.org/article/f785d2e212c147dab4ce5f39f05ad519
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 53, Pp 185-195 (2010)
Se presenta una metodología para resolver el problema de la expansión de la red de transmisión de energía eléctrica utilizando un algoritmo que aplica el concepto de encadenamiento de trayectorias (path relinking). Este algoritmo ha mostrado ser
Externí odkaz:
https://doaj.org/article/f47ecbe535054a328deed3157907024b
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 47, Pp 164-175 (2009)
En este trabajo se presentan dos modelos matemáticos y una metodología de solución para el problema de planeamiento a largo plazo de sistemas de transmisión de energía eléctrica considerando desplanificación. Este problema determina el plan de
Externí odkaz:
https://doaj.org/article/efd0de60bdba454795ad02509a297710
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 47 (2013)
This paper presents two mathematical models and one methodology for the long-term transmission system expansion planning problem considering de-planning. Traditionally this problem is solved searching the lowest cost investment plan for one given per
Externí odkaz:
https://doaj.org/article/e9da7ea579c9411ba01cb298ef0e86d2
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 53 (2013)
A methodology to solve the long-term transmission expansion planning problem using the path re-linking algorithm is presented. This methodology starts with the elite configurations obtained from the results of the optimization using efficient metaheu
Externí odkaz:
https://doaj.org/article/bf299e030135474889e7e2bbeb88ad47