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Cell nuclei of 28,000-years-old mammoth reacted in living embryos by cloning technology

Cell nuclei of 28,000-years-old mammoth reacted in living embryos by cloning technology

Press Releases   •   Mar 12, 2019 02:03 UTC

-We have succeeded in observing the reconstruction of cell nuclei collected from mammoth fossils inside living mouse oocytes. -Mammoth’s cell nuclei were found to have retained biological activity for 28,000 years in permafrost. -This study paves a way for decoding old biological information using cell nuclei of ancient creatures and future leaps of evolutionary biology are expected.

Immuno-pathogenesis of Chronic Pancreatic Diseases Uncovered Applications expected for the treatment of pancreatic diseases and preventive measures for pancreatic cancer - Kindai University

Press Releases   •   Oct 25, 2018 16:00 UTC

Until now, the barely understood immuno-pathogenesis for chronic inflammation of the pancreas has been uncovered. The pathogenic immune response that is common for both autoimmune pancreatitis and chronic pancreatitis was elucidated for the first time in the world. Applications are expected for new treatments of chronic pancreatic inflammation and new preventive measures for pancreatic cancer.

Permeation Mechanism of Water through Polymeric Membrane; Clarified for the First Time in the World Expectations for Development of Membranes with Functions, Such As Seawater Desalination - Kindai University

Permeation Mechanism of Water through Polymeric Membrane; Clarified for the First Time in the World Expectations for Development of Membranes with Functions, Such As Seawater Desalination - Kindai University

Press Releases   •   Oct 14, 2018 23:00 UTC

Associate Professor Noriyoshi Arai and his research group at the Mechanical Engineering Department at the Faculty of Science and Engineering of Kindai University have elucidated the mechanism of permeation through polymeric membranes. The findings of this research will be featured in the Journal of Membrane Science , on October 15, 2018 at 8:00 AM (JST).

Successful Use of AI Technology for Efficient Prediction of Physical Properties of Substances with Complex Molecular Structures

Successful Use of AI Technology for Efficient Prediction of Physical Properties of Substances with Complex Molecular Structures

Press Releases   •   Sep 14, 2018 23:00 UTC

- The study demonstrated that machine learning can be applied to predict physical properties of functional materials that have complex structures. - For the first time in the world, machine learning methodology has been applied to the analysis of complex molecular structures of surfactants that are used in our immediate surroundings, such as detergents and cosmetic products.