Articles with "yield high" as a keyword



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Low-dimensionality perovskites yield high electroluminescence

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Published in 2020 at "Science Bulletin"

DOI: 10.1016/j.scib.2020.03.015

Abstract: https://doi.org/10.1016/j.scib.2020.03.015 2095-9273/ 2020 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved. ⇑ Corresponding authors. E-mail addresses: [email protected] (Z. Yang), [email protected] (C. Qin), [email protected] (Z. Ning), [email protected] (M. Yuan), [email protected] read more here.

Keywords: science; high electroluminescence; low dimensionality; dimensionality perovskites ... See more keywords

Systematic Description of the Content Variation of Natural Products (NPs): To Prompt the Yield of High-Value NPs and the Discovery of New Therapeutics

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Published in 2023 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.2c01459

Abstract: Natural products (NPs) have long been associated with human production and play a key role in the survival of species. Significant variations in NP content may severely affect the "return on investment" of NP-based industries… read more here.

Keywords: high value; products nps; natural products; yield high ... See more keywords

Considerations for high-yield, high-throughput cell enrichment: fluorescence versus magnetic sorting

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Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-018-36698-1

Abstract: Efficient sorting methods are required for the isolation of cellular subpopulations in basic science and translational applications. Despite this, throughputs, yields, viabilities, and processing times of common sorting methods like fluorescence-activated cell sorting (FACS) and… read more here.

Keywords: fluorescence; high yield; sorting methods; yield high ... See more keywords

An Alternative Model for Predicting Rubber Yield in High-Density Plots in Ecological Areas Adjacent to the Mekong River Using Forest-Based Classification and Regression on a Hexagonal Grid

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3636231

Abstract: This study introduces a novel spatial modeling approach for predicting rubber yield in high-density plots adjacent to the Mekong River, addressing the limitations of conventional rectangular-grid methods that frequently distort ecological gradients. By integrating Forest-Based… read more here.

Keywords: rubber yield; yield; predicting rubber; high density ... See more keywords