Publications by authors named "G John Petri"

This study aims to use superparamagnetic iron oxide nanoparticles (SPIONs), specifically magnetite (FeO), to deliver deflazacort (DFZ) and ibuprofen (IBU) to Duchenne muscular dystrophy-affected (DMD) mouse muscles using an external magnetic field. The SPIONs are synthesized by the co-precipitation method, and their surfaces are functionalized with L-cysteine to anchor the drugs, considering that the cysteine on the surface of the SPIONs in the solid state dimerizes to form the cystine molecule, creating the FeO-(Cys)-DFZ and FeO-(Cys)-IBU systems for tests. The FeO nanoparticles (NPs) were characterized by Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, powder X-ray diffraction (PXRD), transmission electron microscopy (TEM), dynamic light scattering (DLS), and magnetic measurements.

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In many homes worldwide, dogs are considered part of the family. Every possible care is given to animals, including drug treatments. However, many animal guardians, in an attempt to minimize pain or improve the quality of life of their dogs, provide drugs without a veterinarian's prescription.

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Traditional models of human brain activity often represent it as a network of pairwise interactions between brain regions. Going beyond this limitation, recent approaches have been proposed to infer higher-order interactions from temporal brain signals involving three or more regions. However, to this day it remains unclear whether methods based on inferred higher-order interactions outperform traditional pairwise ones for the analysis of fMRI data.

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Used since decades to produce pectin, citrus processing waste poor in lignin and rich in hemicellulose obtained from lemon and orange juice industrial manufacturing is ideally suited also as microcrystalline cellulose and nanocellulose raw material. The study merges the outcomes of chemistry and bioeconomy research between 2007 and early 2024 with technology and economic insight, to reach five conclusions that will hopefully inform practice-oriented work of researchers and bioeconomy company's managers interested in the sustainable manufacturing of these important biomaterials.

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A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this question through linear stability analysis, less is known about how higher-order interactions shape the global organization of different states. Here, we shed light on this issue by analyzing the rich patterns supported by identical Kuramoto oscillators on hypergraphs.

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