Abstract: The disclosure generally relates to ultra high molecular weight poly(ethylene) (“UHMWPE”) tubes with an average wall thickness of 0.2 mm or less; a tensile stress at break greater than 40 MPa; and a storage modulus of greater than 500 MPa at 23° C. The disclosure further relates to preparing and using such tubes and to constructions (e.g., catheter constructions) and components thereof including such tubes.

Abstract: The present disclosure provides extruded PTFE composite tubes with a reduced coefficient of friction (COF). In some embodiments, such extruded PTFE composite tubes may exhibit a reduced change in coefficient of friction between about 20° C. and about 40° C. with the inclusion of secondary polymeric particles with small particle sizes (<100 ?m) at loading percentages of less than about 50 weight %.

Abstract: A system and method for monitoring and alerting of a working equipment proximity to a utility system. The invention provides a device on the working equipment with sensors and GPS location capabilities to determine location and/or movement event data of the equipment. The invention further includes the establishment of an imaginary buffer boundary established around the utility components to use in combination with the event data to provide a reference for alerts to be triggered. Alerts are automatically provided by the system and method at the working equipment and/or a remote operator dashboard.

Abstract: An automated and intelligent quantitative system and method for assessing risk in infrastructure systems including, but not limited to, gas, electric, water, sewer, transportation, and/or telecommunication systems. The invention incorporates a graph-based data structure of multiple infrastructure systems. The graph-based data structure includes a multi-layered structure with each layer having nodes for components of one of the multiple infrastructure systems, and edge links between related pairs of the nodes. A spatio-temporal and ontological reasoner performs spatial and temporal reasoning on the graph-based data structure to identify nodes of the graph-based data structure likely affected by the new activity event.

Abstract: An automated and intelligent quantitative system and method for assessing risk in infrastructure systems including, but not limited to, gas, electric, water, sewer, transportation, and/or telecommunication systems. The invention incorporates a graph-based data structure of multiple infrastructure systems. The graph-based data structure includes a multi-layered structure with each layer having nodes for components of one of the multiple infrastructure systems, and edge links between related pairs of the nodes. A spatio-temporal and ontological reasoner performs spatial and temporal reasoning on the graph-based data structure to identify nodes of the graph-based data structure likely affected by the new activity event.

Abstract: A system and method for monitoring and alerting of a working equipment proximity to a utility system. The invention provides a device on the working equipment with sensors and GPS location capabilities to determine location and/or movement event data of the equipment. The invention further includes the establishment of an imaginary buffer boundary established around the utility components to use in combination with the event data to provide a reference for alerts to be triggered. Alerts are automatically provided by the system and method at the working equipment and/or a remote operator dashboard.

Abstract: The identification of safe havens for hazardous material transports is provided. Safe havens include locations at which a hazardous material transport is less susceptible to an event that may result in a hazardous material release and/or a location at which the impact of a hazardous material release is reduced. When an event occurs indicating that hazardous material transports should be moved to safe havens, the locations of hazardous material transports are determined. Safe havens may then be determined for each hazardous material transport. In some cases, safe havens may be selected from a group of predetermined locations designated as safe havens. In some cases, locations may be dynamically designated as safe havens for hazardous material transports after the occurrence of an event. The hazardous material transports are then moved to the selected safe havens, thereby reducing their susceptibility to events and/or minimizing the impact of an event that involves a hazardous material transport.

Abstract: The assessment of security risks associated with linear corridors, such as transportation corridors and utilities corridors, is provided. Initially, a site is selected for evaluation. Survey data and context sensitive information, such as demographic information, environmental information, corridor asset information, and the like, is collected for the site. Linear corridors are identified within the data, and critical assets within each linear corridor are also identified. Security risks associated with linear corridors may then be assessed using the survey data and context sensitive information. In addition, mitigation strategies, response strategies, and recovery strategies may be developed for the security risks assessed for the linear corridors.