Abstract: A method is provided for encapsulating products that can have lipophilic or hydrophilic, including volatile, properties in a polysiloxane membrane that is particularly impervious. A method is also provided for evaluating the imperviousness of capsules. The present method includes the following steps: a) formation of droplets by an emulsion between an oily phase containing the product to be encapsulated and an acidic aqueous phase heated to around 50° C. and in the presence of surfactants; b) addition and hydrolysis of at least one silane in order to obtain a silanol; c) increasing the pH in order to start condensation of the silanol to form a first membrane around the droplets of the product to be encapsulated; d) lowering the pH; e) increasing the pH, optionally preceded by adding a silane, in order to obtain a new condensation of silanol around the droplets of the product to be encapsulated.

Abstract: A method is provided for encapsulating products that can have lipophilic or hydrophilic, including volatile, properties in a polysiloxane membrane that is particularly impervious. A method is also provided for evaluating the imperviousness of capsules. The present method includes the following steps: a) formation of droplets by an emulsion between an oily phase containing the product to be encapsulated and an acidic aqueous phase heated to around 50° C. and in the presence of surfactants; b) addition and hydrolysis of at least one silane in order to obtain a silanol; c) increasing the pH in order to start condensation of the silanol to form a first membrane around the droplets of the product to be encapsulated; d) lowering the pH; e) increasing the pH, optionally preceded by adding a silane, in order to obtain a new condensation of silanol around the droplets of the product to be encapsulated.

Abstract: Original Pi Estimating Method (PEM) Algorithm is primarily intended for computer application. PEM Algorithm, given in ‘word format’, describes a math process suitable for programming. Using sufficient pi truncations and the set of all real numbers for domain divisions, PEM math process permits a user to specify goal-precisions and to estimate goal-displacements in ALL dimensional-space, domains and ranges, particularly, for ALL infinitesimal space, including beyond quantum values. By use of super-computer, PEM Algorithm can be combined with appropriate interface to control high energy devices for consistent, precise, repeatable values. Uncertainty and probabilities, involved during microscopic, infinitesimal displacements, require precise and repeatable estimates within atomic, sub-atomic, and beyond—domains. Since PEM provides reliable, repeatable, estimates of pi approximations close to actual displacements: probabilities increase and uncertainties lessen.