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Kingma, B.R., Frijns, A.J., Saris, W.H., van Steenhoven, A.A. and van Marken Lichtenbelt, W.D. (2012) Mathematical Modeling of Human Thermoregulation: A Neurophysiological Approach to Vasoconstriction. In: Madani, K., Dourado Correia, A., Rosa, A. and Filipe, J., Eds., Computational Intelligence, Studies in Computational Intelligence, Springer Verlag, Berlin.

has been cited by the following article:

• TITLE: Statistical Estimation of Surface Heat Control and Exchange in Endotherms

  AUTHORS: Barbara Henning, Benilton de Sá Carvalho, José Luiz Boldrini, Sérgio Furtado dos Reis, Denis Otávio Vieira de Andrade

  KEYWORDS: Gracilinanus microtarsus, Infrared Thermography, Thermal Window, Thermoregulation in Homeothermic Endotherms, Vasomotor Adjustment

  JOURNAL NAME: Open Journal of Statistics, Vol.8 No.1, February 28, 2018

  ABSTRACT: In this paper, we combine polynomial functions, Generalized Estimating Equations, and bootstrap-based model selection to test for signatures of linear or nonlinear relationships between body surface temperature and ambient temperature in endotherms. Linearity or nonlinearity is associated with the absence or presence of cutaneous vasodilation and vasoconstriction, respectively. We obtained experimental data on body surface temperature variation from a mammalian model organism as a function of ambient temperature using infrared thermal imaging. The statistical framework of model estimation and selection successfully detected linear and nonlinear relationships between body surface temperature and ambient temperature for different body regions of the model organism. These results demonstrate that our statistical approach is instrumental to assess the complexity of thermoregulation in endotherms.