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Thermoregulation model JOS-3 with new open source code

机译:热调用模型JOS-3带有新的开源代码

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A thermoregulation model, joint system thermoregulation model (JOS-3), was developed based on JOS-2. JOS-3 consists of 83 nodes, and human physiological responses and body temperatures are calculated using the backward difference method. In JOS-3, brown adipose tissue activity, aging effects, and heat gain by shortwave solar radiation at the skin, are installed to predict human physiological responses, considering personal characteristics in transient and non-uniform thermal environments. In addition, methods to determine shivering thermogenesis, sweating distribution, and basal metabolic rate were modified from those used in JOS-2. We coded JOS-3 in Python-3 and published the JOS-3 package. This model was validated by comparing its results with those of human subject tests conducted under stable and transient conditions. It was confirmed that JOS-3 has a higher accuracy for heat production in young and older subjects and mean skin temperature in older subjects than JOS-2 under cold environmental conditions. Moreover, JOS-3 was simulated in nine transient conditions. Consequently, the root mean-squared error (RMSE) of the rectal and mean skin temperatures between the predicted and experimental values were 0.12-0.38 and 0.58-0.83 degrees C, respectively. (C) 2020 The Authors. Published by Elsevier B.V.
机译:基于JOS-2,开发了热调节模型,联合系统热调节模型(JOS-3)。 JOS-3由83个节点组成,使用后向差异法计算人体生理反应和体温。在JOS-3,棕色脂肪组织活动,老化效果和皮肤短波太阳辐射的热量增益,以预测人类生理反应,考虑到瞬态和非均匀的热环境中的个人特征。此外,从JOS-2中使用的那些中修饰了确定颤动的热生成,出汗和基础代谢率的方法。我们在Python-3中编码了JOS-3并发布了JOS-3封装。通过将其结果与在稳定和瞬态条件下进行的人对象测试的结果进行比较来验证该模型。证实,JOS-3在寒冷环境条件下比JOS-2更高的年轻和较老体受试者的热量生产和较老体的皮肤温度的准确性更高。此外,JOS-3在九个瞬态条件下模拟。因此,预测和实验值之间的直肠和平均皮质温度的根平均平方误差(RMSE)分别为0.12-0.38和0.58-0.83℃。 (c)2020作者。由elsevier b.v出版。

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