Sentence examples for application in extraction from inspiring English sources

Exact(2)

The knowledge acquired in this study could contribute to further DES application in extraction of bioactive compounds from natural sources.

In order to prepare substituted polymers bearing functional groups to chelate metals for their application in extraction and/or depollution applications, Merrifield polymer was transformed into the known azidomethyl polystyrene.

Similar(58)

Aqueous biphasic systems based on nonionic surfactants have perspective applications in extraction processes, in particular, cloud point extraction of hazardous compounds or high valued products, especially biomolecules.

We focus on the effects of inorganic salts and ILs on the phase equilibrium of ATPSs, the microstructure of the ATPSs, and their applications in extraction and separation (e.g., small organic molecules, biochemicals, and radiological isotopes).

The thermosensitive poly NIPA-co-CE) hydrogels have poly NIPA-co-CEcations in the extraction of cations and sepoly NIPA-co-CEral drugs.

Numerical simulations of mass transfer are performed for a circulating liquid drop with applications in liquid liquid extraction.

In order to validate and substantiate the proposed unsupervised hyperspectral target analysis, three applications in endmember extraction, target detection and linear spectral unmixing are considered where custom-designed synthetic images and real image scenes are used to conduct experiments.

Conditions of catalytic studies have been selected for the subsequent application in a hydrogen extraction Pd membrane reactor.

We report the synthesis of functionalized hydrophobic ionic liquids based on piperidium, imidazolium or pyridinium cations bearing ketone moieties and their application in the liquid/liquid extraction of Ta(V).

Section 2 introduces the deep learning method and its application in text feature extraction and summarizes it in Section 3.

It is revealed that expert content contains more divers and popular topics and includes less spam, which has application in many topical extraction models such as breaking news detection.

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