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Jang, J.; Gang, S.; Marjadi, H.K.; Jang, J., and Jung, J., 2023. Swelling behavior of soils due to changes in ionic concentration of pore-water: Impacts on coastal sediments. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 16-20. Charlotte (North Carolina), ISSN 0749-0208. Fine clastic-clay-mineral soils can be found in marine sediments and discontinuous fault or cracks in rocks. Swelling clays such as montmorillonite, which absorb pore water and show high swelling characteristics, would be problematic for stable mechanical behaviors in geotechnical engineering applications. To anticipate swelling behavior considering ionic concentrations in pore water fluids, swelling tests at different ionic concentrations of pore fluids were conducted with clay mineral soils (kaolinite, illite, and montmorillonite) and naturals soils from deposits near Nakdong River. Index properties such as liquid limit and plastic limit test were performed to present relationship between the swelling and consistency. The experimental results present changes in swelling due to pore water displacements or contaminant transports. Montmorillonite shows 114∼152% of swelling in deionized water but 0.83∼4.54% in 1 M salt water, which is significant changes in swelling compared to kaolinite and illite soils. Fine-grained soils without montmorillonite would show low swelling even though the soils have other clay minerals such as kaolinite and illite. [ABSTRACT FROM AUTHOR]

The article presents information on available tools and advancement in pressure core technology for undertaking various oceans drilling projects for recovery of hydrates bearing sediments. The pressure core technology for characterization of hydrate bearing sediments requires coring, manipulation and testing under pressure and temperature (P-T) conditions within the ocean bed. The pressure core system derives preservation of sediments and production of natural gas.

Analyzing the dynamic changes of cellular morphology is important for understanding the various functions and characteristics of live cells, including stem cells and metastatic cancer cells. To this end, we need to track all points on the highly deformable cellular contour in every frame of live cell video. Local shapes and textures on the contour are not evident, and their motions are complex, often with expansion and contraction of local contour features. The prior arts for optical flow or deep point set tracking are unsuited due to the fluidity of cells, and previous deep contour tracking does not consider point correspondence. We propose the first deep learning-based tracking of cellular (or more generally viscoelastic materials) contours with point correspondence by fusing dense representation between two contours with cross attention. Since it is impractical to manually label dense tracking points on the contour, unsupervised learning comprised of the mechanical and cyclical consistency losses is proposed to train our contour tracker. The mechanical loss forcing the points to move perpendicular to the contour effectively helps out. For quantitative evaluation, we labeled sparse tracking points along the contour of live cells from two live cell datasets taken with phase contrast and confocal fluorescence microscopes. Our contour tracker quantitatively outperforms compared methods and produces qualitatively more favorable results. Our code and data are publicly available at https://github.com/JunbongJang/contour-tracking/.