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Ocean Acidification: Calcifying Marine Organisms
Published 2020-03-01“…Coastal Florida boasts an abundance and diversity of calcifying organisms that stand to be impacted by the altered carbonate chemistry resulting from increased atmospheric CO2 levels. …”
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843
3D printing driving innovations in extreme low-temperature energy storage
Published 2025-12-01Get full text
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844
Proton-electron coupling and mixed conductivity in a hydrogen-bonded coordination polymer
Published 2025-02-01Get full text
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Deposition behaviors and interfacial interaction mechanism between carboxyl-modified polystyrene nanoplastics and magnetite in aquatic environment
Published 2025-01-01“…In aquatic environments, the deposition behaviors of nanoplastics (NPs) are closely associated with interfacial interaction between NPs and iron (hydr)oxides minerals, which are typically coupled with solution chemistry and organic matter. However, the roles of solution chemistry and organic matter in the deposition behavior of NPs with iron (hydr)oxides minerals and related interfacial interaction mechanism are still poorly understood. …”
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Biofilmed-PGPR: Next-Generation Bioinoculant for Plant Growth Promotion in Rice under Changing Climate
Published 2025-01-01Get full text
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Bimetallic synergy in supported Ni–Pd catalyst for selective hydrogenolysis of C–O bonds in epoxy resins
Published 2025-02-01Get full text
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849
Assessment of PM2.5 Patterns in Malaysia Using the Clustering Method
Published 2021-12-01Get full text
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Identification of cardiac premature senescence markers through GEO database interaction approach
Published 2024-08-01Get full text
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Ecofriendly dyeing of silk fabric with yellow natural and synthetic dye
Published 2025-03-01Get full text
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Acid sphingomyelinase modulates anxiety-like behavior likely through toll-like receptor signaling pathway
Published 2025-02-01Get full text
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Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation
Published 2025-01-01“…This is particularly challenging since $ {\mathrm{H}}_2 $ molecules diffuse much faster than heat, leading to large variations in burning rates, thermodiffusive instabilities at the subfilter scale, and complex turbulence-chemistry interactions. Our data-driven approach leverages a Convolutional Neural Network (CNN), trained to approximate filtered burning rates from emulated LES data. …”
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