Abstract: A pharmaceutically nanoemulsion formulation of Compound 1 is disclosed along with methods for making the same. An example embodiment of the nanoemulsion of Compound 1 is comprised of lecithin, medium chain triglycerides (MCT), sucrose, EDTA and water.

Abstract: A storage vessel can include a shell that is formed by fibers wound about an axis and infused with a resin matrix. The resin matrix can include metal nanoparticles coated with a polymer and distributed within a resin. The nanoparticles provide low coefficients of thermal expansion, and the polymer coatings enhance their bonding with the resin. The shells of such storage vessels provide increased tensile strength and modulus at both room and cryogenic temperatures. Such improvements stem from the higher interfacial residual thermal stress at cryogenic temperature due to their low thermal expansion properties, which in turn promotes crack branching that increases the energy dissipation of the matrix.

Abstract: A storage vessel can include a shell that is formed by fibers wound about an axis and infused with a resin matrix. The resin matrix can include metal nanoparticles coated with a polymer and distributed within a resin. The nanoparticles provide low coefficients of thermal expansion, and the polymer coatings enhance their bonding with the resin The shells of such storage vessels provide increased tensile strength and modulus at both room and cryogenic temperatures. Such improvements stem from the higher interfacial residual thermal stress at cryogenic temperature due to their low thermal expansion properties, which in turn promotes crack branching that increases the energy dissipation of the matrix.

Abstract: Systems and methods are provided for determining the security risk associated with one or more users of a computer network. Users are monitored over time to build security related profiles which are employed to assess the risk they impose on the network. The user profiles, which may be computed as online and network user profiles for each user, are processed to classify users according to user groups. A composite risk measure is generated, for a given user, based on a first measure that is obtained by processing the user profile data, and a second security risk measure, that is obtained by comparing the present user group to which the user has classified and a prior user group that was associated with the given user. Action may be taken by an administrator to mitigate the risk posed by that user based on the computed composite risk score.