Phys Imaging Radiat Oncol
October 2024
Background And Purpose: Deep-learning-based automatic segmentation is widely used in radiation oncology to delineate organs-at-risk. Dual-energy CT (DECT) allows the reconstruction of enhanced contrast images that could help with manual and auto-delineation. This paper presents a performance evaluation of a commercial auto-segmentation software on image series generated by a DECT.
View Article and Find Full Text PDFA novel diphenyl-anthraquinone compound, cassuquinone A, was isolated from the rhizomes of Zingiber cassumunar. Structural elucidation was accomplished using detailed NMR and HRMS-ESI techniques, revealing a symmetrical anthraquinone core with methoxylated aromatic rings. Cassuquinone A exhibited potent α-glucosidase inhibitory activity with an IC₅₀ of 11.
View Article and Find Full Text PDFA comprehensive set of single-component and binary isotherms were collected for ethanol/water adsorption into the siliceous forms of 185 known zeolites using grand-canonical Monte Carlo simulations. Using these data, a systematic analysis of ideal/real adsorbed-solution theory (IAST/RAST) was conducted and activity coefficients were derived for ethanol/water mixtures adsorbed in different zeolites based on RAST. It was found that activity coefficients of ethanol are close to unity while activity coefficients of water are larger in most zeolites, indicating a positive excess free energy of the mixture.
View Article and Find Full Text PDFBackground: Receptor Expressed in Lymphoid Tissues (RELT) is a TNFRSF member that has two paralogs, RELL1 and RELL2; the three proteins are collectively referred to as RELT family members (RELTfms).
Methods: We sought to evaluate RELT expression in cancerous cells by using real-time PCR, western blotting, flow cytometry, and immunohistochemistry (IHC). The mechanism of RELT-induced cell death was assessed by western blotting, flow cytometry, luciferase assays, and morphology staining.