PCM_00123 Artículo 1
Título: Decoding growth parameters of small pelagics: a critical examination of model effectiveness with a focus on the European anchovyRevista: Frontiers in Marine ScienceDOI: https://doi.org/10.1007/BF02294359LINK: https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2025.1467442/full
PCM_00104 Artículo 1
Título: Ocean acidification and global warming may favor blue carbon service in aCymodocea nodosa community by modifying carbon metabolism anddissolved organic carbon fluxesAutores: Alba Yamuza-Magdaleno *, Rocío Jim´enez-Ramos , Javier Cavijoli-Bosch , Fernando G. Brun , Luis G. EgeaRevista: Marine Pollution Bulletin 212 (2025) 117501DOI: https://doi.org/10.1016/j.marpolbul.2024.117501
PCM_00004 Artículo 1
Título: Combined Effect of Temperature and Different Light Regimes on the Photosynthetic Activity and Lipid Díaz-Santos Autores: E, Heredia-Martínez LG, López-Maury L, Hervás M, Ortega JM, Navarro JA, Roncel M.Accumulation in theRevista: Diatom Phaeodactylum tricornutum. Plants. 2025; 14(3):329. DOI: https://doi.org/10.3390/plants14030329Link: https://www.mdpi.com/2223-7747/14/3/329
PCM_00083 Artículo 3
Titulo: Research trends and current requirements and challenges in the industrial production of Spirulina as a food sourceRevista: Trends in Food Science and Technology
PCM_00083 Artículo 1
Titulo: Effect of seawater on the biomass composition of Spirulina produced at a pilot-scale.Revista: New BIOTECHNOLOGY
PCM_00083 Artículo 2
Titulo: Composition of microalgae produced using different types of water and nutrient sourcesRevista: Algal Research
PCM_00046 Artículo 1
Título: Proteomic Approach to Anemonia sulcata and Its Symbiont Symbiodinium spp. as New Source of Potential Biotechnological Applications and Climate Change BiomarkersRevista: International Journal of Molecular SciencesDOI: 10.3390/IJMS241612798Link: https://www.mdpi.com/1422-0067/24/16/12798
PCM_00019 Artículo 3
Título: Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehiclesRevista:EXPERT SYSTEMS WITH APPLICATIONS (0957-4174 / 1873-6793)DOI: https://doi.org/10.1016/j.eswa.2025.126483Link: https://www.sciencedirect.com/science/article/pii/S0957417425001058?via%3Dihub#sec6
PCM_00019 Artículo 2
Título: Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning ApproachRevista: IEEE ACCESS (2169-3536 / 2169-3536)DOI: https://doi.org/10.1109/ACCESS.2024.3403790Link: https://ieeexplore.ieee.org/document/10535508
PCM_00019 Artículo 1
Título: Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring.Revista: Advanced Intelligent Systems, 2300850, 1-18, 2024.DOI: https://doi.org/10.1002/aisy.202300850Link: https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/aisy.202300850
