Issue of JOS3: NaN values when "female" is selected.

[AkihisaNomoto]

@AkihisaNomoto will deal with this issue. Here is an email from a person.

Specifically, when using the pythermalcomf package, we observed that some conditions returned NAN values for skin temperatures in cases where the sex was set to "female." While some data for females were successfully predicted, the errors we encountered were exclusively related to this sex. Additionally, when we ran the example provided on the pythermalcomf page and changed the sex to "female," the output also resulted in NAN values for skin temperatures. However, when using the code linked to the JOS-3 paper, the female data was successfully predicted without any issues.