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dc.contributor.authorYalcinkaya, Bahar Hazal || Genc, Seda || Yilmaz, Bayram || Ozilgen, Mustafa
dc.date.accessioned2024-11-13T08:21:47Z
dc.date.available2024-11-13T08:21:47Z
dc.date.issued2023
dc.identifier.uri0
dc.identifier.urihttps://dspace.yasar.edu.tr/handle/20.500.12742/19775
dc.description.abstractWe explored an in silico model of muscle energy metabolism and demonstrated its theoretical plausibility. Results indicate that energy metabolism triggered by activation can capture the muscle condition, rest, or exercise, and can respond accordingly adjusting the rates of their respiration and energy utilization for efficient use of the nutrients. Our study demonstrated during exercise higher respiratory activity causes a substantial increase in exergy release with an increase in exergy destruction, and entropy generation rate. The thermodynamic analysis showed that at the resting state when the exergy destruction rate was 0.66 W/kg and the respiratory metabolism energetic efficiency was 36% and exergetic efficiency was 32% || whereas, when the exergy destroyed was 1.24 W/kg, the energetic efficiency was 58% and exergetic efficiency was 50% during exercise. The efficiency results suggest the ability of the system to regulate itself in response to higher work demand and become more efficient in terms of converting energy coming from nutrients to useable energy when the circulating medium has sufficient energy precursor.
dc.titleHow does exercise affect energy metabolism? An in silico approach for cardiac muscle
dc.typeArticle
dc.relation.journalHELIYON
dc.identifier.doi10.1016/j.heliyon.2023.e17164
dc.relation.volume9
dc.relation.issue6
dc.description.wosresearchareaMultidisciplinary Sciences
dc.identifier.wosidWOS:001042329600001
dc.contributor.departmentYeditepe University || Yasar University || Yeditepe University || Yeditepe University || New York State Psychiatry Institute || Columbia University || NewYork-Presbyterian Hospital
dc.identifier.issue6
dc.identifier.volume9


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