Abstract: A solution to the two major problems that exist today, on the one hand, by recovering the textile fibers extracted from the recycling and Processing of ELTs and, on the other hand, by providing the asphalt paving industry with an alternative mixture with superior performance to that of existing conventional mixtures. More specifically, a granulated additive based on textile fibers and rubber powder from end-of-life tires, having (a) 20% to 30% of textile fiber composed mainly of polyamide or polyester fibers, which together are of the order of 10% by weight of an ELT, (b) 20% to 50% of asphalt binder, (c) 25% to 45% of rubber powder from end-of-life tires in a fraction smaller than 0.5 mm, and (d) 3% to 10% of rubber powder from end-of-life tires in a fraction smaller than 0.18 mm. In addition, the method for obtaining same and its use in asphalt mixtures.

Abstract: The present invention describes a method and devices for the simultaneous detection, recovery identification and counting of a plurality of microorganisms consisting in providing mixtures of nutrients specially selected from those that curtail the lag phase of growth in bacteria and moulds and which, together with fluorescent enzymatic, chromogenic or bioluminescent markers and other nutrient components or growth inhibitors, are embedded in three-dimensional structures or natural or artificial clays or ceramics with cavities of different dimensions and forms and specific surface areas of between 2×103 and 6×108 m2/m3.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A method and apparatus are provided for performing real-time correlation of data collected from biological sensors, including, but not limited to, sensors adapted to analyze biological material (e.g., blood or tissue samples) and environmental material (e.g., air or water samples). In one embodiment, a method for correlating biological data over a broad (geographic or demographic) domain includes receiving data relating to at least two samples of biological material, where the samples originate at two different regions of the broad domain. This data is then correlated to produce a domain-wide view of the biological data, thereby enabling the rapid identification of domain-wide medical emergencies. Moreover, this correlated information may be provided to lower-level correlation sources or to the biological sensors in order to increase the sensitivities of the correlation sources or biological sensors to emerging threats.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.

Abstract: A computer-automated method of hierarchical event monitoring and analysis within an enterprise network including deploying network monitors in the enterprise network, detecting, by the network monitors, suspicious network activity based on analysis of network traffic data selected from the following categories: {network packet data transfer commands, network packet data transfer errors, network packet data volume, network connection requests, network connection denials, error codes included in a network packet}, generating, by the monitors, reports of the suspicious activity, and automatically receiving and integrating the reports of suspicious activity, by one or more hierarchical monitors.

Abstract: A method of network surveillance includes receiving network packets handled by a network entity and building at least one long-term and a least one short-term statistical profile from a measure of the network packets that monitors data transfers, errors, or network connections. A comparison of the statistical profiles is used to determine whether the difference between the statistical profiles indicates suspicious network activity.