Equational expression of nonlinear load–deformation relationship of dowelled joint with slotted-in steel plate at various lateral loading angles against the grain direction

When rotational moment is applied to a dowelled joint with a slotted-in steel plate connecting the beam and the column, the lateral loads at the individual dowels are applied at various angles against the grain direction. To design the joint or analyze its rotational performance, properties at various angles are required. The main objective of this study was to create a simulation method for nonlinear load–displacement relationships at various angles of the loading direction against the grain direction. In this study, lateral loading tests of dowelled joints with slotted-in steel plates at angles of 0°, 15°, 30°, 45°, 60°, 75°, and 90° were conducted. The load–displacement relationship was measured, and the initial stiffness, proportional limit load, and yield load were obtained. When adopting Hankinson’s formula for the three characteristics, the values of n were 1.951, 2.052, and 1.912, respectively. The combined use of two empirical formulas (Hankinson’s formula and Foschi’s formula) was attempted, and the simulation results agreed well with the experimental results, which verified the usefulness of the simulation method proposed in this study

Design aesthetics recommender system based on customer profile and wanted affect

Product recommendation systems have been instrumental in online commerce since the early days. Their development is expanded further with the help of big data and advanced deep learning methods, where consumer profiling is central. The interest of the consumer can now be predicted based on the personal past choices and the choices of similar consumers. However, what is currently defined as a choice is based on quantifiable data, like product features, cost, and type. This paper investigates the possibility of profiling customers based on the preferred product design and wanted affects. We considered the case of vase design, where we study individual Kansei of each design. The personal aspects of the consumer considered in this study were decided based on our literature review conclusions on the consumer response to product design. We build a representative consumer model that constitutes the recommendation system's core using deep learning. It asks the new consumers to provide what affect they are looking for, through Kansei adjectives, and recommend; as a result, the aesthetic design that will most likely cause that affect.Comment: 11 pages, 10 figures, peer-reviewed at the KEER 2022 conferenc

Simultaneous flood risk analysis and its future change among all the 109 class-A river basins in Japan using a large ensemble climate simulation database d4PDF

This study investigated simultaneous flood risk among all the 109 class-A river basins over Japan using the big data of (over 1000 years) annual maximum hourly flow simulated from a large ensemble climate simulation database for policy decision making for future climate change, and proposed a novel approach in its geospatial analysis by applying two informatics techniques: the association rule analysis and graph theory. Frequency analysis of the number of rivers with the annual maximum flow over the flow capacity in the same year (defined as simultaneous flooding here) indicated that simultaneous flood risk will increase in the future climate under 4-degree rise scenarios in Japan, whose increment is larger than the variation of sea surface temperature projections. As the result, the return period of simultaneous flooding in eight river basins (the same number as in a severe storm in western Japan, 2018, causing the second worst economic damage since 1962) is estimated at 400 years in the historical experiment, 25 years in the 4-degree rise experiment. The association rule and graph theory analyses for the big data of annual maximum flows in the future climate scenarios indicated that simultaneous flood occurrence is dominated by spatial distance at a national scale as well as by the spatial relation between mountainous ridges and typhoon courses at a regional scale. Large ensemble climate simulation data combined with the informatics technology is a powerful approach to simultaneous flood risk analysis

Expression of thyroglobulin on follicular dendritic cells of thyroid mucosa-associated lymphoid tissue (MALT) lymphoma

Reportedly, thyroid mucosa-associated lymphoid tissue (MALT) lymphoma is closely associated with Hashimoto's thyroiditis. However, it remains unknown which antigen is closely associated with thyroid MALT lymphoma. We examined whether B cell response to thyroglobulin (Tg), which is a common thyroid-specific autoantigen, is related etiologically to the pathogenesis of thyroid MALT lymphoma. Expression of human Tg antigens and Cluster of differentiation (CD) 35 was examined immunohistochemically in 15 cases of thyroid MALT lymphoma using paraffin-embedded, formalin-fixed tissue specimens. In all cases of thyroid MALT lymphoma, human Tg was detected immunohistochemically in the follicular epithelial cells and follicular dendritic cells (FDCs). These FDCs were positive by double immunostaining for anti-human Tg rabbit polyclonal antibody (Ab) and for CD35. Results showed that the Tg, a thyroid autoantigen, had immunostained the germinal center of the thyroid MALT lymphoma. The Tg was present in the FDCs, as revealed by the staining pattern of the germinal center;this fact was confirmed by double immunostaining of anti-human Tg mouse monoclonal Ab and anti-CD35 mouse monoclonal Ab. The results of our study suggest that Tg is an autoantigen that is recognized by thyroid MALT lymphoma cells.</p

Oral healthcare systems for an ageing population: concepts and challenges

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138847/1/idj12343_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138847/2/idj12343.pd