The development of information technology has added many conveniences to our lives. On the other hand, however, we have to deal with various kinds of information, which can be a difficult task for elderly people or those who are not familiar with information devices. A technology to recognize each person’s activity and providing appropriate support based on that activity could be useful for such people. In this paper, we propose a novel fine-grained activity recognition method for user support systems that focuses on identifying the text at which a user is gazing, based on the idea that the content of the text is related to the activity of the user. It is necessary to keep in mind that the meaning of the text depends on its location. To tackle this problem, we propose the simultaneous use of a wearable device and fixed camera. To obtain the global location of the text, we perform image matching using the local features of the images obtained by these two devices. Then, we generate a feature vector based on this information and the content of the text. To show the effectiveness of the proposed approach, we performed activity recognition experiments with six subjects in a laboratory environment.
Trans‐fatty acid is a well‐known risk factor of atherogenesis, however its mechanism has not been clarified. Plasmalogen is a subclass of phospholipids, characterized by vinyl‐ether bond in sn‐1 position, and known to have the anti‐atherogenenic property. We have found that trans‐fatty acids were incorporated into sn‐1 position of plasmalogen (trans‐type plasmalogen) in trans‐fatty acids fed rats. The aim of this study was to examine the physiological effects of trans‐type plasmalogen on vascular endothelium. Wistar‐ST male rats were fed an AIN‐93G based diet with or without 23% hydrogenated rape seed oil (including 40% trans‐fatty acids) for 8 weeks, and then we prepared LDL fraction from their aorta blood. Human Umbilical Vein Endothelial Cells (HUVEC, p=4~6) were cultivated until the cells were 80% confluent and the medium was changed containing rat LDL, then HUVEC were cultivated for 24h. The gene expressions of ICAM1, VCAM1 and MCP1 in HUVEC were increased in trans LDL group (LDL including trans‐type plasmalogen) more than control LDL group. MCP1 protein in cell supernatant was also higher in the trans group. These results suggest that LDL including trans‐type plasmalogen has inflammatory effects in HUVEC. We should clarify that trans‐type plasmalogens actually contribute the inflammatory effects in LDL on HUVEC.
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