Shinji Nakaoka

Patterns and Drivers of Diatom Diversity and Biogeography in the North Pacific

The paper assesses North Pacific diatom communities using rbcL metabarcoding, identifying environmental drivers and a previously overlooked species.

Machine Learning-based Identification and Characterization of High-risk Carriers of HTLV-1-Associated Myelopathy (HAM)

This study uses machine learning to identify high-risk HTLV-1 carriers likely to develop HAM by analyzing proviral load and antibody titers.

Male Dimorphism and Emergence Strategies: A Mathematical Model of Protandry in Fabriciana nerippe Felder, 1862

This paper confirms male body-size dimorphism in Fabriciana nerippe and develops a mathematical model showing how emergence timing switches based on death rate and reproductive advantage.

Invasive mammals disrupt native dung beetle community coexistence

This study shows invasive mammals threaten native dung beetle communities by increasing extinction risks for specialists and intensifying competition among generalists.

A novel Energy Landscape construction method incorporating the Latent Dirichlet Allocation topic model and the pairwise Maximum Entropy model, revealing the significant contribution of Bactericides to the development of Inflammatory Bowel Disease

This study introduces an Energy Landscape method combining LDA and MaxEnt models to analyze time-series microbiome data from IBD, identifying microbial contributions to disease development.

Early Dynamics of Chronic Myeloid Leukemia on Nilotinib Predicts Deep Molecular Response

This paper develops a mathematical model using early clinical data to predict deep molecular response in CML patients treated with nilotinib.