Search

Your search keyword '"Mori, Keisuke"' showing total 249 results
Start Over Author "Mori, Keisuke" Publication Type Academic Journals
249 results on '"Mori, Keisuke"'

1. Genetic Risk Stratification of Primary Open-Angle Glaucoma in Japanese Individuals

Author

Matsuda, Koichi, Yamanashi, Yuji, Furukawa, Yoichi, Morisaki, Takayuki, Okada, Yukinori, Murakami, Yoshinori, Muto, Kaori, Nagai, Akiko, Nakamura, Yusuke, Obara, Wataru, Yamaji, Ken, Takahashi, Kazuhisa, Asai, Satoshi, Takahashi, Yasuo, Higashiue, Shinichi, Kobayashi, Shuzo, Yamaguchi, Hiroki, Nagata, Yasunobu, Wakita, Satoshi, Nito, Chikako, Iwasaki, Yu-Ki, Murayama, Shigeo, Yoshimori, Kozo, Miki, Yoshio, Obata, Daisuke, Higashiyama, Masahiko, Masumoto, Akihide, Koga, Yoshinobu, Koretsune, Yukihiro, Aihara, Makoto, Sakata, Rei, Kashiwagi, Kenji, Mabuchi, Fumihiko, Kawase, Kazuhide, Iwata, Takeshi, Tsujikawa, Motokazu, Nishiguchi, Koji M., Akiyama, Masato, Tamiya, Gen, Fujiwara, Kohta, Shiga, Yukihiro, Yokoyama, Yu, Hashimoto, Kazuki, Sato, Masataka, Sato, Kota, Narita, Akira, Hashimoto, Sawako, Ueda, Emi, Furuta, Yoshihiko, Hata, Jun, Miyake, Masahiro, Ikeda, Hanako O., Suda, Kenji, Numa, Shogo, Mori, Yuki, Morino, Kazuya, Murakami, Yusuke, Shimokawa, Sakurako, Nakamura, Shun, Yawata, Nobuyo, Fujisawa, Kimihiko, Yamana, Satoshi, Mori, Kenichiro, Ikeda, Yasuhiro, Miyata, Kazunori, Mori, Keisuke, Ogino, Ken, Koyanagi, Yoshito, Kamatani, Yoichiro, Ninomiya, Toshiharu, Sonoda, Koh-Hei, and Nakazawa, Toru

Published
2024
Full Text
View/download PDF

17. Characteristics of patients with anxiety disorder without selective serotonin reuptake inhibitor prescription over a two‐year period of pharmacotherapy.

Author

Mori, Keisuke, Kodaka, Fumitoshi, Yamamoto, Arisa, Yamazaki, Ryuichi, Ishii, Junpei, Yamadera, Wataru, Miyata, Hisatsugu, and Shigeta, Masahiro

Subjects
*SEROTONIN uptake inhibitors, *ANXIETY disorders, *DULOXETINE, *DRUG therapy, *MEDICAL prescriptions, *BODY mass index
Abstract

Introduction: Pharmacotherapy such as selective serotonin reuptake inhibitors (SSRIs) or serotonin‐noradrenaline reuptake inhibitors is recommended for the treatment of anxiety disorders. Although there are patients with persisted symptoms of anxiety disorders who are treated with monotherapy of benzodiazepine anxiolytics without SSRIs, the characteristics of these patients are unclear. In the present study, we investigated the characteristics of patients with persisted symptoms of anxiety disorder without SSRI prescription. Methods: From a prescription dataset covering 2018 and 2020, the prescriptions of 243 patients with anxiety disorder were analyzed. Patients were classified into two groups: SSRI non‐prescription and prescription groups. Results: The SSRI non‐prescription group had a higher ratio of females than did the SSRI prescription group (60.1% vs. 44.6%, respectively, p = 3.12 × 10−2), but statistically not significant after the Bonferroni correction. No significant differences in age, body mass index, or duration of outpatient visits were found between groups. Among the independent variables, sex (female) was the only variable identified that predicted SSRI non‐prescription. Conclusion: The present study showed that among patients with anxiety disorders, sex (female) was the only variable that predicted SSRI non‐prescription. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

29. Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App.

Author

Yamada, Shigeki, Aoyagi, Yukihiko, Iseki, Chifumi, Kondo, Toshiyuki, Kobayashi, Yoshiyuki, Ueda, Shigeo, Mori, Keisuke, Fukami, Tadanori, Tanikawa, Motoki, Mase, Mitsuhito, Hoshimaru, Minoru, Ishikawa, Masatsune, and Ohta, Yasuyuki

Subjects
MOBILE apps, MODEL airplanes, GAIT in humans, KNEE joint, DEEP learning, OLDER people, HIP joint, ANKLE, MOBILE learning
Abstract

To assess pathological gaits quantitatively, three-dimensional coordinates estimated with a deep learning model were converted into body axis plane projections. First, 15 healthy volunteers performed four gait patterns; that is, normal, shuffling, short-stepped, and wide-based gaits, with the Three-Dimensional Pose Tracker for Gait Test (TDPT-GT) application. Second, gaits of 47 patients with idiopathic normal pressure hydrocephalus (iNPH) and 92 healthy elderly individuals in the Takahata cohort were assessed with the TDPT-GT. Two-dimensional relative coordinates were calculated from the three-dimensional coordinates by projecting the sagittal, coronal, and axial planes. Indices of the two-dimensional relative coordinates associated with a pathological gait were comprehensively explored. The candidate indices for the shuffling gait were the angle range of the hip joint < 30° and relative vertical amplitude of the heel < 0.1 on the sagittal projection plane. For the short-stepped gait, the angle range of the knee joint < 45° on the sagittal projection plane was a candidate index. The candidate index for the wide-based gait was the leg outward shift > 0.1 on the axial projection plane. In conclusion, the two-dimensional coordinates on the body axis projection planes calculated from the 3D relative coordinates estimated by the TDPT-GT application enabled the quantification of pathological gait features. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

38. Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model.

Author

Aoyagi, Yukihiko, Yamada, Shigeki, Ueda, Shigeo, Iseki, Chifumi, Kondo, Toshiyuki, Mori, Keisuke, Kobayashi, Yoshiyuki, Fukami, Tadanori, Hoshimaru, Minoru, Ishikawa, Masatsune, and Ohta, Yasuyuki

Subjects
DEEP learning, MOTION capture (Human mechanics), MOBILE apps, CONVOLUTIONAL neural networks, ANKLE joint, CAMERAS
Abstract

To quantitatively assess pathological gait, we developed a novel smartphone application for full-body human motion tracking in real time from markerless video-based images using a smartphone monocular camera and deep learning. As training data for deep learning, the original three-dimensional (3D) dataset comprising more than 1 million captured images from the 3D motion of 90 humanoid characters and the two-dimensional dataset of COCO 2017 were prepared. The 3D heatmap offset data consisting of 28 × 28 × 28 blocks with three red–green–blue colors at the 24 key points of the entire body motion were learned using the convolutional neural network, modified ResNet34. At each key point, the hottest spot deviating from the center of the cell was learned using the tanh function. Our new iOS application could detect the relative tri-axial coordinates of the 24 whole-body key points centered on the navel in real time without any markers for motion capture. By using the relative coordinates, the 3D angles of the neck, lumbar, bilateral hip, knee, and ankle joints were estimated. Any human motion could be quantitatively and easily assessed using a new smartphone application named Three-Dimensional Pose Tracker for Gait Test (TDPT-GT) without any body markers or multipoint cameras. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

44. Decreasing Plasma Fibrinogen Levels in the Intensive Care Unit Are Associated with High Mortality Rates In Patients With Sepsis-Induced Coagulopathy.

Author

Mori, Keisuke, Tsujita, Yasuyuki, Yamane, Tetsunobu, and Eguchi, Yutaka

Subjects
INTENSIVE care units, FIBRINOGEN, DEATH rate, BLOOD coagulation disorders, PLATELET count, FLATFOOT
Abstract

Plasma fibrinogen levels increase in response to infection, but they could also decrease due to degradation as in severe coagulopathy. We evaluated 60 septic patients with their CRP levels over 5.00 mg/dL. The patients were classified into three groups based on the ratio of the maximum or minimum fibrinogen concentration within day 3 to the initial concentration on day 0: down-, flat, and uptrend groups (n = 15, 30, and 15, respectively). Both down- and flat trend groups showed reduced inflammatory markers on day 3, and the degree of platelet loss (103/μL) and the mortality rate (%) were more remarkable in the downtrend group (− 108 vs − 42 [ p = 0.026] and 46.7 vs 10.0 [ p = 0.027]). On day 0, in total 12 and 9 patients were diagnosed with non-overt DIC in the down- and uptrend groups, of which 5 (41.7%) and 1 (11.1%) died within 28 days after admission. In conclusion, decreasing fibrinogen levels in the ICU are associated with high mortality in patients with sepsis followed by decreasing platelet counts, even when they are diagnosed with non-overt DIC. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

45. Connections result in a general upsurge of protests: egocentric network analysis of social movement organizations after the Fukushima Nuclear Accident.

Author

Satoh, Keiichi, Fung, Wan Yin Kimberly, and Mori, Keisuke

Subjects
FUKUSHIMA Nuclear Accident, Fukushima, Japan, 2011, SOCIAL movements, SOCIAL structure, SOCIAL networks, PUBLIC demonstrations, SOCIAL clubs, COALITION governments
Abstract

Since the Fukushima nuclear accident in 2011 (3/11), Japan has witnessed a nationwide upsurge of antinuclear demonstrations as well as protests against diverse concerns. Why did this upsurge of protests occur beyond the antinuclear concerns? The exact mechanism that caused this general upsurge of protests has not been explored in detail. Given the limited number of first-time participants, this phenomenon can be fully explained only through an analysis of network-building processes among social movement organizations (SMOs). Based on the first nationwide survey of SMOs conducted in Japan by our team in February 2018, covering 308 groups, we analyzed the constellation of the SMOs' networks after 3/11, their logic of coalition building, and their network effects on mobilization. We observed that the new characteristics of the constellation of the SMOs' networks are twofold. The first feature is that the networks of various SMOs were bridged by antinuclear groups. Antinuclear organizations served as the hub of SMOs' networks, enabling the mobilization to cross different concerns. The second feature is the connections between the citizen groups and labor unions. Labor unions increase the participation during events by mobilizing their partner unions. Both new connections contributed to the general upsurge in large-scale demonstrations for various concerns after 3/11. Our paper contributes to the general discussion on the relation between coalition of SMOs and mobilization by focusing on the dyadic level of networks, and analyzing its effect for mobilization through egocentric network analysis. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results