The sensation of controlling one’s body and things in the environment is known as sense of agency (SoA). Not only is SoA pivotal for tasks and well-being in everyday life, but its mechanisms have become increasingly important for the development of human-computer interfaces in new technology. This need has fueled research in this area, in particular to understand how SoA is generated from scratch in unfamiliar environments. Researchers at the University of Tokyo performed experiments involving hand-to-screen mapping using a specialized glove and highlighted the role of motor exploration in generating experience of self-agency. Their findings could contribute to future health and technology applications.

Researchers at Tohoku University have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.

The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method based on a reference-point-selection strategy. This method has been successfully applied to the optimization of radiation-shielding designs for nuclear reactors. By integrating genetic algorithms with artificial bee colony algorithms, the method substantially improves the lightweight, compact, and radiation protection performance of shielding structures, thereby providing vital technical support for the design of nuclear reactors.The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method based on a reference-point-selection strategy. This method has been successfully applied to the optimization of radiation-shielding designs for nuclear reactors. By integrating genetic algorithms with artificial bee colony algorithms, the method substantially improves the lightweight, compact, and radiation protection performance of shielding structures, thereby providing vital technical support for the design of nuclear reactors.

An Osaka Metropolitan University researcher examined the nonlinear multidimensional factors that correlate with population changes according to city size. The results indicate that population changes correlated with welfare expenditures in small and medium-sized cities.