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Considering the nature of marine accidents, even a single accident can result in significant damage to the environment and property, as well as loss of life. Therefore, the initial response should be rapid and accurate, and various decision support systems have been developed to achieve this. Research on simulating progressive flooding on board immediately after an accident is being actively conducted, but this requires high levels of computing power. In this study, a methodology for converting simulated ship motion data into a ship motion database is presented. The model of a training ship from the Korea Institute of Maritime and Fisheries Technology and KRISO in-house code SMTP was used for ship motion computations. The short-time Fourier transform was used to convert time-series motion data into a spectrogram motion database. A methodology for deriving a predicted location of the damage center is presented. The candidate locations of the damage centers were obtained by comparing the root mean square error values of the ship motion database from the simulation and real-time ship motion data. Finally, a probability function was suggested to confirm the predicted location of the damage center. Using 100 randomly selected test cases, our method showed 95% accuracy. [ABSTRACT FROM AUTHOR]

Silicon particles have garnered attention as promising biomedical probes for hyperpolarized 29 Si magnetic resonance imaging and spectroscopy. However, due to the limited levels of hyperpolarization for nanosized silicon particles, microscale silicon particles have primarily been the focus of dynamic nuclear polarization (DNP) applications, including in vivo magnetic resonance imaging (MRI). To address these current challenges, we developed a facile synthetic method for partially 29 Si-enriched porous silicon nanoparticles (NPs) (160 nm) and examined their usability in hyperpolarized 29 Si MRI agents with enhanced signals in spectroscopy and imaging. Hyperpolarization characteristics, such as the build-up constant, the depolarization time ( T 1 ), and the overall enhancement of the 29 Si-enriched silicon NPs (10 and 15%), were thoroughly investigated and compared with those of a naturally abundant NP (4.7%). During optimal DNP conditions, the 15% enriched silicon NPs showed more than 16-fold higher enhancements─far beyond the enrichment ratio─than the naturally abundant sample, further improving the signal-to-noise ratio in in vivo 29 Si MRI. The 29 Si-enriched porous silicon NPs used in this work are potentially capable to serve as drug-delivery vehicles in addition to hyperpolarized 29 Si in vivo , further enabling their potential future applicability as a theragnostic platform.

Some human embryonic stem cell lines have shown genomic instabilities over long-term culture. To study the controversial origin of the SCNT-hES-1 line, which was derived from autologous somatic cell nuclear transfer (SCNT), we compared the expression and methylation patterns of imprinted genes in the SCNT-hES-1 cells with the donor's somatic cells by semi-quantitative RT-PCR, real-time PCR and bisulfite sequencing. Examined imprinted genes were H19, GNAS, SLC22A18, UBE3A and ZNF264 for maternally expressed genes, and IGF2, SNRPN, PEG3, PEG10, MEST, MAGEL2 and ARHI for paternally expressed genes, respectively. We found that the expression of imprinted genes in the SCNT-hES-1 cell line is comparable to that in the donor's somatic cells, and that its methylation patterns are similar to those of other SCNT-products. Therefore, the present study indicates that the SCNT-hES-1 line was derived from SCNT.