Publications by authors named "R F Fu"

Repetitive transcranial magnetic stimulation (rTMS) is acknowledged for its critical role in modulating neuronal excitability and enhancing cognitive function. The dentate gyrus of the hippocampus is closely linked to cognitive processes; however, the precise mechanisms by which changes in its excitability influence cognition are not yet fully understood. This study aimed to elucidate the effects on granule cell excitability and the effects on cognition of high-frequency rTMS in naturally aging mice, as well as to investigate the potential interactions between these two factors.

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: The purpose of this study was to investigate dynamic responses of Lenke1B+ spines of adolescent scoliosis patients to different frequencies. : Modal analysis, harmonic response analysis and transient dynamics of a full spine model inverted by the finite element method using Abaqus. : The first-order axial resonance frequency of 4.

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Misfolding and aggregation of proteins into amyloidogenic assemblies are key features of several metabolic and neurodegenerative diseases. Human insulin has long been known to form amyloid fibrils under various conditions, which affects its bioavailability and function. Clinically, insulin aggregation at recurrent injection sites poses a challenge for diabetic patients who rely on insulin therapy.

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The rapid, simple, and sensitive detection of nucleic acid biomarkers plays a significant role in clinical diagnosis. Herein, we develop a label-free and point-of-care approach for isothermal DNA detection through the trans-cleavage activity of CRISPR-Cas12 and the growth of gold nanomaterials in agarose gel. The presence of the target can activate CRISPR-Cas12a to cleave single-stranded DNA, thus modulating the length and number of DNA sequences that mediate the growth of gold nanoparticles (AuNPs) or gold nanorods (AuNRs).

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Direct methods based on iterative projection algorithms can determine protein crystal structures directly from X-ray diffraction data without prior structural information. However, traditional direct methods often converge to local minima during electron density iteration, leading to reconstruction failure. Here, we present an enhanced direct method incorporating genetic algorithms for electron density modification in real space.

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