Hirotaka Aoki, Yasunari Fujimoto, Satoshi Suzuki, Eri Sato-Shimokawara and Toru Yamaguchi
In this study, authors suggested the system which considered difference of culture through the language and gesture movement in the interaction with a robot when user greets. In the interaction, verbal and nonverbal information are important to do natural communication. Authors focused on not only languages but also gesture movement which varies from cultures. It is necessary for even communication between a human and a robot to take in the difference of culture. Authors’ experiment shows that whether this greeting difference leads to changes or not in the human biological signal. The human biological signals are estimated by pulse wave obtained from a finger and brain blood flow measured by NIRS. The result is that biological signals will be changed when the reaction of languages and gestures changed.
Leonard A. Jason, Dylan Damrongvachiraphan, Jessica Hunnell, Lindsey Bartgis, Abigail Brown, Meredyth Evans and Molly Brown
Probir Kumar Dhar, Abhik Mukherjee and Durjoy Majumder
Hematopoiesis is a complex dynamic process by which all the blood cells of the peripheral blood are formed. Different molecular techniques identified different molecules involved in a coordinated and time-dependent fashion for the development of different blood cells of specific lineages. These are identified with the cells in isolation that may obscure the dynamical nature of hematopoiesis. This has an importance in understanding of different hematological diseases. However, there is no generalized model available in the literature by which clinicians and patients can be benefited. We have developed a systems model based on difference delay equation. Our model shows that minor variation as well as incorporation of a minor stochastic component to that model equation at the morphological stage(s) may exhibit different pathophysiological state of hematopoietic system. Therefore, this mathematical model reinforces the necessity of expert domain knowledge in translating the parametric values so that individual patient could be benefited.