Volumetric-modulated arc therapy (VMAT) with field-extended multi-isocentre irradiation (VMAT-FEMII) is an effective irradiation technique, particularly for large planning target volumes in the craniocaudal direction. A variety of treatment planning techniques have been reported to reduce the dosimetric impact. However, there is no guarantee that unexpected latent systematic errors would not occur.
View Article and Find Full Text PDFJ Water Health
September 2023
Ultraviolet light-emitting diodes (UV-LED) can be a good option for disinfecting water in small and decentralized facilities. A flow-through UV-LED disinfection module was evaluated at three remote locations in Japan. The disinfection efficiency of the module was monitored for over one year, targeting indigenous Escherichia coli, total coliforms, standard plate count, and heterotrophic plate count (HPC) bacteria.
View Article and Find Full Text PDFA conjugative, multi-drug-resistant plasmid was irradiated in-vivo and in-vitro with a 265-nm UV-light emitting diode (UV-LED) to investigate the gene inactivation efficiency of a plasmid deoxyribonucleic acid (pDNA) carrying DNA transfer and replication genes. The clinical-isolate 60 kb RP4 plasmid of the IncPα group containing the traG gene, was irradiated intracellularly in E. coli DH5α and extracellularly in a water medium at pH 8.
View Article and Find Full Text PDFWaterborne disease is increasingly becoming associated with opportunistic premise plumbing pathogens (OPPPs), which can resist residual chlorination, regrow throughout drinking water distribution systems, and colonize premise plumbing. Nontuberculous mycobacteria (NTM) include clinically important species and exert a high burden on healthcare systems. We briefly report a qPCR-based survey of Mycobacterium spp.
View Article and Find Full Text PDFVirtual clinical trials (VCTs) can potentially simulate clinical trials on a computer, but their application with a limited number of past clinical cases is challenging due to the biased estimation of the statistical population. In this study, we developed ExMixup, a novel training technique based on machine learning, using iteratively redistributed extrapolated data. Information obtained from 100 patients with prostate cancer and 385 patients with oropharyngeal cancer was used to predict the recurrence after radiotherapy.
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