11 results match your criteria: "University of Florida Gainesville FL 32611 USA.[Affiliation]"

Existing theories can predict separately the effects of hydrodynamic slip and ion-ion electrostatic correlations on diffusioosmosis. However, a predictive model for the coupled dynamics of hydrodynamic slip and electrostatic correlations in diffusioosmosis is lacking. In this work, we develop a mathematical model to compute the diffusioosmotic mobilities of valence-symmetric electrolytes in a charged parallel-plate channel.

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  • - Metabolomics and molecular networking are rapidly growing fields that involve identifying and analyzing bioactive compounds in natural products using advanced mass spectrometry techniques.
  • - This study focused on four medicinal plants with unclear biochemical profiles, investigating their ability to inhibit α-amylase and α-glucosidase, important enzymes in carbohydrate digestion.
  • - The findings revealed significant inhibition of these enzymes by specific plant extracts, with metabolic profiling identifying 32 secondary metabolites, and the use of GNPS showed extensive data on individual compounds, including many that remain unidentified.
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Alternating styrene-propylene and styrene-ethylene copolymers prepared by photocatalytic decarboxylation.

Chem Sci

October 2023

George & Josephine Butler Polymer Research Laboratory, Center for Macromolecular Science & Engineering, Department of Chemistry, University of Florida Gainesville FL 32611 USA

Synthesis of olefin-styrene copolymers with defined architecture is challenging due to the limitations associated with the inherent reactivity ratios for these monomers in radical or metal-catalyzed polymerizations. Herein, we developed a straightforward approach to alternating styrene-propylene and styrene-ethylene copolymers by combining radical polymerizations and powerful post-polymerization modification reactions. We employed reversible addition-fragmentation chain transfer (RAFT) copolymerization between styrene derivatives and saccharin (meth)acrylamide to generate alternating copolymers.

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Magnetic particle imaging (MPI) is a novel biomedical imaging modality that allows non-invasive, tomographic, and quantitative tracking of the distribution of superparamagnetic iron oxide nanoparticle (SPION) tracers. While MPI possesses high sensitivity, detecting nanograms of iron, it does not provide anatomical information. Computed tomography (CT) is a widely used biomedical imaging modality that yields anatomical information at high resolution.

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Recent experiments (K. Inoue and S. Inasawa, , 2020, , 15763-15768) and simulations (J.

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The black-box nature of machine learning models hinders the deployment of some high-accuracy medical diagnosis algorithms. It is risky to put one's life in the hands of models that medical researchers do not fully understand or trust. However, through model interpretation, black-box models can promptly reveal significant biomarkers that medical practitioners may have overlooked due to the surge of infected patients in the COVID-19 pandemic.

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The development of bacterial tolerance against pesticides poses a serious threat to the sustainability of food production. Widespread use of copper (Cu)-based products for plant disease management has led to the emergence of copper-tolerant pathogens such as () strains in Florida, which is very destructive to the tomato () industry. In this study, we report a hybrid nanoparticle (NP)-based system, coined Locally Systemic Pesticide (LSP), which has been designed for improved efficacy compared to conventional Cu-based bactericides against Cu-tolerant .

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The subtropical peach cultivar UFSun grafted on five different rootstocks ('Flordaguard', 'Barton', 'MP-29', 'P-22', and 'Okinawa') was investigated in terms of the pomological and biochemical parameters of the fruit. Significant differences in fruit weight and size, soluble solids content, titratable acidity, and firmness were found among some rootstocks. The fruit length and diameter were different between the 'MP-29' and other rootstocks.

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High aspect ratio TiO nanoflakes are synthesized by a one-step modified surface hydrolysis method. Surface morphology and physical dimensions are characterized using scanning electron microscopy, laser diffraction analysis, and transmission electron microscopy. Microsized flakes having a thickness ≈40 nm are successfully synthesized by spreading an oil phase consisting of titanium tetraisopropoxide and a low surface tension hydrocarbon on the surface of water.

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  • The study investigates how internal (like pregnancy) and external (such as weather and resource availability) factors influence the activity patterns of giant pandas, using advanced wavelet analysis on activity data collected from GPS collars.
  • Findings reveal that giant pandas have varied activity cycles depending on the season, showing increased activity in winter and during mating season in spring, while maintaining a regular cycle during resource-rich summer and autumn.
  • The research highlights wavelet analysis as a valuable method for understanding complex animal behavior, providing insights that could enhance wildlife conservation efforts.
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Morphology mediates the relationship between an organism's body temperature and its environment. Dark organisms, for example, tend to absorb heat more quickly than lighter individuals, which could influence their responses to temperature. Therefore, temperature-related traits such as morphology may affect patterns of species abundance, richness, and community assembly across a broad range of spatial scales.

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