INDUSTRY, INNOVATION AND INFRASTRUCTURE

Ferroelectrics are promising materials for next-generation memory devices because their spontaneous polarization can be reversed by an external electric field. This study focuses on hydrogen-bond netw [...]

As impact investing surpasses one trillion USD, the institutional and cultural determinants of its effectiveness remain insufficiently theorized. Existing research is disproportionately concentrated i [...]

String compression methods that represent large-scale data compactly by exploiting repetitive structures within the data have been extensively studied, and numerous methods have been proposed. However [...]

In a previous study, we reported that amelogenin, a major component of enamel substrate protein, suppresses antigen presentation by macrophages by inducing histone modifications through nuclear transf [...]

One of the main problems in number theory is the connection between algebraic objects and analytic objects. The Birch and Swinnerton-Dyer conjecture (BSD conjecture), a conjecture about the object cal [...]

Machine learning incorporating diagnostic criteria derived from patient-level diagnostic records

Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering

I propose a machine learning method that utilizes supervision in the form of patient-level diagnostic records assigned to sets of medical images. In medical image diagnosis, multiple images are often [...]

From noncommutative geometrical point of view, we see “functions” on space rather than space itself. More precisely, we actually perceive algebras of “functions” on space. In n [...]

In the standard planet formation scenario , it has been believed that planet formation begins in the Class II disks after mass accretion has ended. However, recent submillimeter observations by ALMA [...]

Development of Novel Ion-Conducting Ferroelectric Materials and Elucidation of Polarization Mechanisms

Key Institutional Factors Influencing Impact Investing

Exploration of String Compression Methods Focusing on Compression Ratio and Computational Capability

Development of immunosuppressive agents without side effects

The algebraic structure of the Selmer group of an elliptic curve on an anticyclotomic Z_p-extension for an inert prime

Machine learning incorporating diagnostic criteria derived from patient-level diagnostic records

Harmonic analysis of quantum Laplacian on quantum Riemannian space

Investigation of star and planet formation process, using two-fluid simulation

“Future-Creation (MIRAI)” Course Kyushu University SPRING program