COUP-TFII expressing interneurons in human fetal forebrain von Reinchisi, Gisela, Ijichi, Kumiko, Glidden, Nicole, Jakovcevski, Igor, Zecevic, Nada

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Human ESC-Derived MSCs Outperform Bone Marrow MSCs in the Treatment of an EAE Model of Multiple Sclerosis von Wang, Xiaofang, Kimbrel, Erin A., Ijichi, Kumiko, Paul, Debayon, Lazorchak, Adam S., Chu, Jianlin, Kouris, Nicholas A., Yavanian, Gregory J., Lu, Shi-Jiang, Pachter, Joel S., Crocker, Stephen J., Lanza, Robert, Xu, Ren-He

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MMP-3 mediates psychosine-induced globoid cell formation: Implications for leukodystrophy pathology von Ijichi, Kumiko, Brown, Graham D., Moore, Craig S., Lee, Jean-Pyo, Winokur, Paige N., Pagarigan, Roberto, Snyder, Evan Y., Bongarzone, Ernesto R., Crocker, Stephen J.

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Transfer of the face viewpoint aftereffect from adaptation to different and inverted faces von Fang, Fang, Ijichi, Kumiko, He, Sheng

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Stomatin inhibits pannexin-1-mediated whole-cell currents by interacting with its carboxyl terminal von Zhan, Haiying, Moore, Craig S, Chen, Bojun, Zhou, Xin, Ma, Xin-Ming, Ijichi, Kumiko, Bennett, Michael V L, Li, Xue-Jun, Crocker, Stephen J, Wang, Zhao-Wen

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Human ESC-Derived MSCs Outperform Bone Marrow MSCs in the Treatment of an EAE Model of Multiple Sclerosis (vol 3, pg 115, 2014) von Wang, Xiaofang, Kimbrel, Erin A., Ijichi, Kumiko, Paul, Debayon, Lazorchak, Adam S., Chu, Jianlin, Kouris, Nicholas A., Yavanian, Gregory J., Lu, Shi-Jiang, Pachter, Joel S., Crocker, Stephen J., Lanza, Robert, Xu, Ren-He

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Transfer of the face viewpoint aftereffect from adaptation to different and inverted faces von Fang, Fang, Ijichi, Kumiko, He, Sheng

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Meals Provided to Ningen Dock Customers - Use of Healthy Meals as Means of Health Guidance von Kikugawa, Mayumi, Kojima, Shinji, Wakimoto, Toshihiro, Ijichi, Kumiko, Ishikawa, Nami, Seki, Akihiko, Kawahara, Kazue, Fujii, Masafumi

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当院における人間ドック受診者に提供する食事の工夫　～保健指導の資料として活用しうるメニュー提供の試み von 菊川, 麻由美, 小島, 真二, 脇本, 敏裕, 伊地知, 久美子, 石川, 奈美, 関, 明彦, 河原, 和枝, 藤井, 昌史

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Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19 von Matsunaga, Nobuaki, Kamata, Keisuke, Asai, Yusuke, Tsuzuki, Shinya, Sakamoto, Yasuaki, Ijichi, Shinpei, Akiyama, Takayuki, Yu, Jiefu, Yamada, Gen, Terada, Mari, Suzuki, Setsuko, Suzuki, Kumiko, Saito, Sho, Hayakawa, Kayoko, Ohmagari, Norio

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