Brillouin spectroscopy of fluid inclusions proposed as a paleothermometer for subsurface rocks

Effects of compressibility and wetting on the liquid-vapor transition in a confined fluid

When a fluid is constrained to a fixed, finite volume, the conditions for liquid-vapor equilibrium are different from those for the infinite volume or constant pressure cases. There is even a range of densities for which no bubble can form, and the liquid at a pressure below the bulk saturated vapor pressure remains indefinitely stable. As the fluid density in mineral inclusions is often derived from the temperature of bubble disappearance, a correction for the finite volume effect is required. Previous works have explained these phenomena and proposed a numerical procedure to compute the correction for pure water in a container completely wet by the liquid phase. Here, we revisit these works and provide an analytic formulation valid for any fluid, including the case of partial wetting. We introduce the Berthelot-Laplace length λ = 2γκ/3, which combines the liquid isothermal compressibility κ and its surface tension γ. The quantitative effects are fully captured by a single, nondimensional parameter: the ratio of λ to the container size.

Effect of dissolved salt on the anomalies of water at negative pressure

Adding salt to water at ambient pressure affects its thermodynamic properties. At low salt concentration, anomalies such as the density maximum are shifted to lower temperature, while at large enough salt concentration, they cannot be observed any more. Here, we investigate the effect of salt on an anomaly recently observed in pure water at negative pressure: the existence of a sound velocity minimum along isochores. We compare experiments and simulations for an aqueous solution of sodium chloride with molality around 1.2 mol kg^-1, reaching pressures beyond -100 MPa. We also discuss the origin of the minima in the sound velocity and emphasize the importance of the relative position of the temperatures of sound velocity and density anomalies.

A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction

Considering the various disadvantages of previous computational models, we proposed a novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction (SDMMDA) to predict potential miRNA–disease associations by integrating known associations, disease semantic similarity, miRNA functional similarity, and Gaussian interaction profile kernel similarity for diseases and miRNAs.