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Published in 2023 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.12440
Abstract: BACKGROUND Acetylated based starches are broadly used in the food industry as emulsifiers, thickening and film forming agents. Better understanding of the structural and rheological parameters would facilitate the selection of optimal acetylated starches for…
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Keywords:
acetyl concentration;
food;
increasing acetyl;
starch ... See more keywords
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1
Published in 2019 at "Cement and Concrete Composites"
DOI: 10.1016/j.cemconcomp.2018.12.001
Abstract: Abstract The performance of steam cured (80 °C for 7 h) and standard cured ferronickel slag (FNS) cement mortar (0%, 20% replacement of cement with FNS) subjected to sodium sulfate attack were investigated. The results show that…
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Keywords:
sulfate resistance;
cement mortar;
cement;
fns ... See more keywords
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Published in 2019 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2018.12.068
Abstract: Abstract This study evaluates the thermal properties of cement mortar using by-product ferronickel slag (FNS) fine aggregate and its residual strength after high temperature exposure. Compressive strength of mortar increased when FNS was used up…
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Keywords:
aggregate;
mortar;
strength;
thermal properties ... See more keywords
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Published in 2020 at "Fusion Engineering and Design"
DOI: 10.1016/j.fusengdes.2020.111562
Abstract: Abstract The “FC-FNS” (Fusion Cycle for Fusion Neutron Source) fuel cycle model is used to calculate the hydrogen isotope flows in the fuel systems of a tokamak-based fusion neutron source (FNS). The present development incorporates…
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Keywords:
modeling core;
demo fns;
coupled modeling;
fusion ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3222836
Abstract: Self-supervised contrastive learning (SSCL) is a potential learning paradigm for learning remote sensing image (RSI)-invariant features through the label-free method. The existing SSCL of RSI is built based on constructing positive and negative sample pairs.…
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Keywords:
negative samples;
contrastive learning;
fns;
semantic segmentation ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3157573
Abstract: Asteroids are scientific windows for understanding the universe while having enormous economic value. Instead of merely bringing back a small sample, capturing an asteroid into earth's orbit is one of the most promising ways to…
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Keywords:
asteroid capture;
capture dynamics;
control;
fns ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0280155
Abstract: Background Flavonoids are specialized metabolites with numerous biological functions in stress response and reproduction of plants. Flavones are one subgroup that is produced by the flavone synthase (FNS). Two distinct enzyme families evolved that can…
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Keywords:
apiaceae fns;
gene duplication;
fns;
tandem gene ... See more keywords