Vis enkel innførsel

dc.contributor.authorWickstrøm, Kristoffer
dc.contributor.authorLøkse, Sigurd Eivindson
dc.contributor.authorKampffmeyer, Michael
dc.contributor.authorYu, Shujian
dc.contributor.authorPríncipe, José C.
dc.contributor.authorJenssen, Robert
dc.date.accessioned2023-09-08T09:57:29Z
dc.date.available2023-09-08T09:57:29Z
dc.date.issued2023-06-03
dc.description.abstractThe aquaculture industry is expanding to meet the daily requirements of humanity from high-quality seafood. In this regard, intensive aquaculture systems are suggested, resulting in high production but being challenged with immunosuppression and disease invaders. Antibiotics were used for a long time to protect and treat aquatic animals; however, continuous use led to severe food safety issues, reducing the natural immunity response and high resistance to harmful bacterial strains. Therefore, natural functional additives were introduced to reduce or even replace chemotherapies. More specifically, marine-derived substances showed effective immunostimulant and antioxidative roles when introduced to aquatic animals. Bioactive molecules derived from algae, crustaceans, and fish, including astaxanthin, carotenoids, chitosan, fucoidan, lectins, and polyunsaturated fatty acids (PUFAs), are the most applied additives in aquaculture. In addition, marine-derived biomolecules were introduced to several other sectors, such as nutraceuticals, pharmaceuticals, cosmetics, and agriculture. Marinederived substances are lipid-soluble biomolecules known for their ability to cross the cellular membranes, thereby causing pigmentation roles. Consequently, marine-derived biomolecules are involved in antioxidative and immune activation effects and, thereby, high performances and productivity of aquatic animals. In the literature, there are available knowledge about the possibility of using marine-derived biomolecules in aquaculture. This article presents information about the sources, mode of action, and effects of marine-derived biomolecules on aquatic animals to fortify the scientific community with enough details about friendly natural substances for sustainable aquaculture.en_US
dc.identifier.citationWickstrøm, Løkse, Kampffmeyer, Yu, Príncipe, Jenssen. Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy. 2023;25(6)en_US
dc.identifier.cristinIDFRIDAID 2170874
dc.identifier.doi10.3390/e25060899
dc.identifier.issn1099-4300
dc.identifier.urihttps://hdl.handle.net/10037/30820
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalEntropy
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleAnalysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropyen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)