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K Furuta

Biographic Data

ID7562320
NAMEK Furuta
GIVEN NAMESK
FAMILY NAMEFuruta
SIGNATUREFURUTA K
AFFILIATIONSThe University of Tokyo
ORCID0000-0001-9180-9822
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Effects of Standing after a Meal on Glucose Metabolism and Energy Expenditure

    Open Access•H Kono, K Furuta et al.•ARTICLE•International Journal of…•2023

    In the past decade, university students have become more sedentary. A sedentary lifestyle is associated with an increased risk of obesity and cardiovascular disease. Methods that decrease sedentary lifestyles, such as the use of standing desks to increase physical activity, have been extensively examined. However, the effects of postprandial standing and sitting on energy metabolism have not yet been compared. Therefore, the present study investi…

  • Quantitative decision-making model to analyze the post-disaster consumer behavior

    Open Access•Rithika Dulam, K Furuta et al.•ARTICLE•International Journal of Disaster…•2021

    Consumer behavior is a key factor that affects the profitability of a business. It is altered significantly in disaster times, which affects the businesses and their supply chains . The media reports during the recent COVID19 pandemic has provided adequate proof of consumer stockpiling and its consequential effects on the supply chain, also in fuelling additional stockpiling. We have developed an agent-based tool to understand consumer purchase b…

  • Representing stories as interdependent dynamics of character activities and plots

    Open Access•Dingding Chao, Taro Kanno et al.•ARTICLE•Digital Scholarship in the…•2018

    Recent advances in data science and machine learning have enhanced our ability to analyze and understand the structure of social interactions in fictional stories by using formal and quantitative approaches. However, an objective assessment of these aspects of fictional stories remains a relatively new and technically difficult field. In this brief report, we introduce our study in which we modeled story dynamics from a novel perspective. By impl…

No prominent works on this page.

  • Representing stories as interdependent dynamics of character activities and plots

    Open Access•Dingding Chao, Taro Kanno et al.•ARTICLE•Digital Scholarship in the…•2018

    Recent advances in data science and machine learning have enhanced our ability to analyze and understand the structure of social interactions in fictional stories by using formal and quantitative approaches. However, an objective assessment of these aspects of fictional stories remains a relatively new and technically difficult field. In this brief report, we introduce our study in which we modeled story dynamics from a novel perspective. By impl…

  • Quantitative decision-making model to analyze the post-disaster consumer behavior

    Open Access•Rithika Dulam, K Furuta et al.•ARTICLE•International Journal of Disaster…•2021

    Consumer behavior is a key factor that affects the profitability of a business. It is altered significantly in disaster times, which affects the businesses and their supply chains . The media reports during the recent COVID19 pandemic has provided adequate proof of consumer stockpiling and its consequential effects on the supply chain, also in fuelling additional stockpiling. We have developed an agent-based tool to understand consumer purchase b…

  • Effects of Standing after a Meal on Glucose Metabolism and Energy Expenditure

    Open Access•H Kono, K Furuta et al.•ARTICLE•International Journal of…•2023

    In the past decade, university students have become more sedentary. A sedentary lifestyle is associated with an increased risk of obesity and cardiovascular disease. Methods that decrease sedentary lifestyles, such as the use of standing desks to increase physical activity, have been extensively examined. However, the effects of postprandial standing and sitting on energy metabolism have not yet been compared. Therefore, the present study investi…

Computer Science (2 works) · Animal science (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Games (1 work) · Basal metabolic rate (1 work) · Biology (1 work) · Business (1 work) · Carbohydrate Metabolism (1 work) · Cardiovascular and exercise physiology (1 work) · Complex Network Analysis Techniques (1 work)

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