Dynamic entropy of human blood

Abstract

Temperature control is a process that is used by biological systems to maintain a stable internal state for survival. People have an individually variable physiological temperature of about 36.6 °C, which can be modified by many undesirable factors. Based on an analysis of a time series of extracellular ionic fluxes that were obtained using the non-invasive solute-semiconductor interface technique, I show that this extremely specific (critical) temperature is encoded by a local minimum in the dynamic entropy of an isolated drop of human blood. Moreover, a dynamic zeroth-order normal fluid/“superfluid” nonequilibrium phase transition, which was reflected by a spontaneous symmetry breaking that occurred in the phase space, was revealed. The critical scaling of the dynamic measures for the covariates such as the spectral signature and Lyapunov exponent was also determined.

Physical origins of canonical and tautomeric mutagenesis

“…We also took the Slocombe et al 2 result on proton tunneling in the proton exchange between the nucleotide base pairs in DNA at room temperature as a given. Moreover, the low energy quantum tunneling of Cooper pairs as bosonic particles 23 can explain our experiments in which a zero bias peak was observed, which is in agreement with the profound minimum in the dynamic entropy 15 . Therefore, we hypothesized whether the ratio of the single protons (changing the level of the chemical potential, and hence, the pH of a system) to the paired protons (do not participate in pH-level) in the condensate might be responsible for the normal (canonical) and abnormal (tautomeric) mutations.…”

“…It was found that the concentration ratio between the canonical and tautomeric base pairs differs at and beyond criticality, respectively. The deviation of a cell (ion) system from a speci c temperature, at which entropy has a minimum 15 and critical pH occurs 16 , could be a source of the point mutations that lead to tautomerization.…”

The curvature effect in Gaussian random fields

“…The degree of interaction is quantified by a coupling parameter, also known as the inverse temperature. It has been observed that an increase in the inverse temperature parameter beyond a critical value induces the emergence of phase transitions in the system [23].…”

Collective excitations of germinating pollen grains at critical points

“…We proposed a similar contact method to determine the level of chemical potential in the soft matter for the ion oscillations of a single (living) cell using the n-type semiconductor-electrolyte interface 2 . The latter also enabled the localization of the characteristic temperature of individually variable human peripheral blood and the detection of non-equilibrium phase transition 4,5 , respectively. In this article, we verify and confirm the existence of a noise-induced (or -detected) non-equilibrium phase transition 14 experimentally in a, generating ionic fluxes, ensemble of pollen tubes.…”