Abstract: A pre-objective two-degree-of-freedom galvanometer scanning system including two galvo mirrors (111,112) with an optical relay (120) between the mirrors (111,112) and a microscope objective (130) with a curved image plane (140) is presented. The second galvo mirror (112) is located in the aperture stop before the objective. The optical system enables scanning in both directions over the full, curved field for creating custom refractive structures across the 6.5 mm optical zone of contact lenses using femtosecond micro-modification.

Abstract: A fluid may contain nanoparticles and a base fluid where the base fluid may be a non-aqueous fluid. The base fluid may be, but is not limited to a drilling fluid, a completion fluid, a production fluid, and/or a stimulation fluid. The fluid may have at least one property, such as but not limited to a dielectric constant ranging from about 5 to about 10,000, an electrical conductivity ranging from about 1×10?6 S/m to about 1 S/m, and combinations thereof. The non-aqueous fluid may be a brine-in-oil emulsion, or a water-in-oil emulsion, and combinations thereof. The addition of nanoparticles to the base fluid may modify the electrical properties of the fluid.

Abstract: A worm is a malicious process that autonomously spreads itself from one host to another. To infect a host, a worm must somehow copy itself to the host. The method in which a worm transmits a copy of itself produces network traffic patterns that can be generalized as a traffic behavior. As a worm spreads itself across the network, the propagation of the traffic behavior can be witnessed as hosts are infected, one after another. By monitoring the network traffic for propagations of traffic behaviors, a presence of a worm can be detected.

Abstract: A system includes hosts that may be infected with mobile logic. One type of mobile logic is a worm, which can be a process that is capable of causing a (possibly evolved) copy of itself to execute on one or more hosts of the system. An infected host of the system can infect other hosts based on criteria, such as targeting, visibility, vulnerability, or infectability of the other hosts. A worm can be represented as a Turing Machine whose state can be determined using computational methods. A worm can be emulated in the system to determine worm detection capabilities of the system. Emulating the worm can allow the system to be tested with less negative impact than using the actual worm.

Abstract: A worm is a malicious process that autonomously spreads itself from one host to another. To infect a host, a worm must somehow copy itself to the host. The method in which a worm transmits a copy of itself produces network traffic patterns that can be generalized as a traffic behavior. As a worm spreads itself across the network, the propagation of the traffic behavior can be witnessed as hosts are infected, one after another. By monitoring the network traffic for propagations of traffic behaviors, a presence of a worm can be detected.