Cancer cells are surrounded by a large number of non-cancer cells. Recent studies have shown that non-cancer cells are functionally and traitically heterogeneous cell populations. And cancer cells are also a heterogeneous cell population. By analyzing the microenvironment formed by these heterogeneous cancer cells and heterogeneous non-cancer cells, new mechanisms of cancer progression and drug sensitivity can be revealed.

In order to support the ever-increasing population, it will be necessary to increase the production and stable supply of food in the future. At the same time, global environmental problems caused by agricultural activities are becoming more serious. In this presentation, I will first outline the issues facing agricultural water, the promotion of smart water management currently underway, and how we can contribute to global environmental issues through the advancement of water management.

　Remote sensing image analysis is effective for understanding land surface information over a wide area in response to large-scale natural disasters and global environmental problems. In this presentation, we will review the latest trends in remote sensing image analysis for land areas. In particular, we will focus on rapid disaster situational awareness and introduce the latest techniques to cope with data incompleteness and lack of instructional data by integrating machine learning, data fusion, and numerical simulation.