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Research ResultsHumanities & Social SciencesLife & Health
A new Denisovan mandible from Taiwan Ancient protein analysis revealed that the oldest hominin fossil in Taiwan was derived from a male Denisovan
Lecturer Rikai Sawafuji
Faculty of Social and Cultural Studies
2025.04.11
Research ResultsPhysics & Chemistry
Life’s building blocks in Bennu samples Japanese collaborators detected all five nucleobases — building blocks of DNA and RNA — in samples returned from asteroid Bennu by NASA’s OSIRIS-REx mission.
Professor Hiroshi Naraoka
Faculty of Science
2025.02.07
Research ResultsPhysics & ChemistryMaterialsEnvironment & Sustainability
Harnessing microwave flow reaction to convert biomass into useful sugars Selective catalyst heating enables effective hydrolysis of biomass.
Associate Professor Shuntaro Tsubaki
Faculty of Agriculture
2025.01.10
Research ResultsMath & DataTechnology
Unlocking the ‘black box’: scientists reveal AI’s hidden thoughts Researchers introduce a new method to assess how deep neural networks interpret information, ensuring its reliability and robustness for real-world applications.
Associate Professor Danilo Vasconcellos Vargas
Faculty of Information Science and Electrical Engineering
2024.12.12
Research ResultsLife & Health
Close encounters between distant DNA regions cause bursts of gene activity Researchers inch closer to understanding how close spatial proximity between regions of DNA promotes and stabilizes transcriptional bursts.
Professor Hiroshi Ochiai
Medical Institute of Bioregulation
2024.12.07
Research ResultsLife & HealthMath & Data
AI beats experts in predicting future quality of “mini-organs” Organoids, sometimes known as “mini-organs”, are crucial for regenerative medicine, drug discovery and basic research. Now, deep-learning models can predict if they are developing properly.
Professor Hirohiko Niioka
Data-Driven Innovation Initiative
2024.12.06
Research ResultsPhysics & ChemistryMaterials
Dynamics of structural transformation for liquid crystalline blue phases Researchers explore the transformation dynamics of cubic liquid crystals using direct simulation and machine learning, offering new possibilities for advanced materials development
Professor Jun-ichi Fukuda
Faculty of Science
2024.12.03
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