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Tomohiro Nakamura

Biographic Data

ID7794550
NAMETomohiro Nakamura
GIVEN NAMESTomohiro
FAMILY NAMENakamura
SIGNATURENAKAMURA T
AFFILIATIONSTohoku Medical Megabank Organization
ORCID0000-0002-8349-2367
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Decadal-scale reduction in net primary production in the western subarctic North Pacific

    Open Access•Takuya Nakanowatari, Tomohiro Nakamura et al.•ARTICLE•Environmental Research Letters•2025

    The subarctic North Pacific (SNP) is a high-nutrient low-chlorophyll region in which decoupling of dissolved iron (dFe) and macronutrient is an essential control of primary production. In this study, we evaluate the influence of decadal-scale climate change on the net primary production (NPP) in the SNP by performing a hindcast experiment for 1979–2016 using an ice–ocean coupled model with a simple biogeochemical model with iron cycle. Simulation…

  • Association of physiological factors with grip and leg extension strength

    Open Access•Yoshiaki Noji, Rieko Hatanaka et al.•ARTICLE•BMC Public Health•2024

    Grip and leg extension strength demonstrated similar associations with anthropometry, pulmonary function, and estimated glomerular filtration rate, but the associations with the other factors were not always consistent

  • Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate…

    Open Access•Xue Li, Chiaki Ono et al.•ARTICLE•Frontiers in Psychiatry•2023

    In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine fea…

  • Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women

    Open Access•Xue Li, Chiaki Ono et al.•ARTICLE•Frontiers in Psychiatry•2022

    In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, including the coefficient of variation R-R interval (CVRR), standard deviation of all NN intervals (SDNN), and square root of the mean squared differences o…

  • Association between the social isolation and depressive symptoms after the great East Japan earthquake

    Open Access•Yuka Kotozaki, Kozo Tanno et al.•ARTICLE•BMC Public Health•2021

    The findings suggested that a combination of social isolation and severe house damage and the death of family members caused by a large-scale natural disaster was associated with a higher risk of depressive symptoms although the interaction was not statistically significant

  • Impact of the Great East Japan Earthquake on the Employment Status and Mental Health Conditions of Affected Coastal Communities

    Open Access•Mitsuaki Katayanagi, Moe Seto et al.•ARTICLE•International Journal of…•2020

    The Great East Japan Earthquake devasted the old community in coastal areas characterized by primary industry. The number of unemployed people increased from 150,000 to 190,000 after the earthquake. All of the adult residents of Shichigahama (18 years old or older), located in the coastal area of the Miyagi prefecture, whose houses were totally or majorly damaged, were recruited for a survey conducted in October 2011. All of the residents who res…

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  • Impact of the Great East Japan Earthquake on the Employment Status and Mental Health Conditions of Affected Coastal Communities

    Open Access•Mitsuaki Katayanagi, Moe Seto et al.•ARTICLE•International Journal of…•2020

    The Great East Japan Earthquake devasted the old community in coastal areas characterized by primary industry. The number of unemployed people increased from 150,000 to 190,000 after the earthquake. All of the adult residents of Shichigahama (18 years old or older), located in the coastal area of the Miyagi prefecture, whose houses were totally or majorly damaged, were recruited for a survey conducted in October 2011. All of the residents who res…

  • Association between the social isolation and depressive symptoms after the great East Japan earthquake

    Open Access•Yuka Kotozaki, Kozo Tanno et al.•ARTICLE•BMC Public Health•2021

    The findings suggested that a combination of social isolation and severe house damage and the death of family members caused by a large-scale natural disaster was associated with a higher risk of depressive symptoms although the interaction was not statistically significant

  • Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women

    Open Access•Xue Li, Chiaki Ono et al.•ARTICLE•Frontiers in Psychiatry•2022

    In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, including the coefficient of variation R-R interval (CVRR), standard deviation of all NN intervals (SDNN), and square root of the mean squared differences o…

  • Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate…

    Open Access•Xue Li, Chiaki Ono et al.•ARTICLE•Frontiers in Psychiatry•2023

    In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine fea…

  • Association of physiological factors with grip and leg extension strength

    Open Access•Yoshiaki Noji, Rieko Hatanaka et al.•ARTICLE•BMC Public Health•2024

    Grip and leg extension strength demonstrated similar associations with anthropometry, pulmonary function, and estimated glomerular filtration rate, but the associations with the other factors were not always consistent

  • Decadal-scale reduction in net primary production in the western subarctic North Pacific

    Open Access•Takuya Nakanowatari, Tomohiro Nakamura et al.•ARTICLE•Environmental Research Letters•2025

    The subarctic North Pacific (SNP) is a high-nutrient low-chlorophyll region in which decoupling of dissolved iron (dFe) and macronutrient is an essential control of primary production. In this study, we evaluate the influence of decadal-scale climate change on the net primary production (NPP) in the SNP by performing a hindcast experiment for 1979–2016 using an ice–ocean coupled model with a simple biogeochemical model with iron cycle. Simulation…

Medicine (5 works) · Internal Medicine (4 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Demography (2 works) · Demography (2 works) · Geography (2 works) · Gerontology (2 works) · Health disparities and outcomes (2 works) · Heart rate (2 works)

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