Publications by authors named "G S Csanyi"

This paper analyzes medical-sexological and sexual-psychological public discourse in Hungary between the Second World War and the regime change, through counseling and science communication books. It engages with works on the history of Hungarian socialist sexual discourse. It differs from such works in two main respects.

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Molecular dynamics simulation is an important tool in computational materials science and chemistry, and in the past decade it has been revolutionized by machine learning. This rapid progress in machine learning interatomic potentials has produced a number of new architectures in just the past few years. Particularly notable among these are the atomic cluster expansion, which unified many of the earlier ideas around atom-density-based descriptors, and Neural Equivariant Interatomic Potentials (NequIP), a message-passing neural network with equivariant features that exhibited state-of-the-art accuracy at the time.

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Background: Recent smooth muscle cell (SMC)-lineage tracing and single-cell RNA sequencing (scRNA-seq) experiments revealed a significant role of SMC-derived cells in atherosclerosis development. Further, thrombospondin-1 (TSP1), a matricellular protein, and activation of its receptor cluster of differentiation (CD) 47 have been linked with atherosclerosis. However, the role of vascular SMC TSP1-CD47 signaling in regulating VSMC phenotype and atherogenesis remains unknown.

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Article Synopsis
  • Vibrational spectroscopy is a key method for analyzing molecular structures, and this study looks at improving how accurately we can predict gas-phase infrared (IR) spectra using advanced computational techniques.
  • A new approach combines harmonic vibrational frequencies and molecular dipole moment calculations, allowing flexibility in how we determine IR intensities.
  • The study tests various methods, including semiempirical models and machine learning potentials, to find an efficient protocol for predicting IR spectra, with a focus on enhancing the accuracy of existing low-cost computational methods.
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Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death worldwide. Clinical and experimental data demonstrated that circulating monocytes internalize plasma lipoproteins and become lipid-laden foamy cells in hypercholesterolemic subjects. This study was designed to identify the endocytic mechanisms responsible for foamy monocyte formation, perform functional and transcriptomic analysis of foamy and non-foamy monocytes relevant to ASCVD, and characterize specific monocyte subsets isolated from the circulation of normocholesterolemic controls and hypercholesterolemic patients.

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