Abstract: A mechanically and piezoelectrically anisotropic polymer article is formed from a crystallizable fluoropolymer and a nucleating agent. The polymer article may be a thin film or a fiber, for example. A crystalline phase may constitute at least approximately 50% of the polymer article. In certain examples, a fluoropolymer may include vinylidene fluoride, trifluoroethylene, chlorotrifluoroethylene, hexafluoropropylene, and vinyl fluoride. The polymer article may include up to approximately 10 wt. % of the nucleating agent. Such a polymer article is optically transparent, has an elastic modulus of at least approximately 3 GPa, and an electromechanical coupling factor (k31) of at least approximately 0.15.

Abstract: A micromirror assembly comprises a first position-limiting part, a micromirror chip, and a second position-limiting part that are stacked. The micromirror chip includes a fastening frame, a movable part, and a first cantilever, where the movable part is connected to the fastening frame by the first cantilever. The first position-limiting part and the second position-limiting part are separately connected to the fastening frame, the first position-limiting part and the second position-limiting part have a hollow area, and the hollow areas are opposite to the movable part. The first position-limiting part and the second position-limiting part are configured to absorb shock from a collision with the micromirror chip, and a projection of a collision part of the first position-limiting part on the micromirror chip intersects with a central axis of the first cantilever.

Abstract: A real-time traffic safety visualization and management system using traffic data, social media data, weather data, and other similar data enable proactive decisions for reducing the number of traffic incidents or mitigating their severity. The system utilizes predictive algorithms in a hybrid framework to diagnose real-time traffic safety conditions. Meanwhile, Pro-active Traffic Management (PATM) Strategies are provided by the system for the predicted high-risk locations. Moreover, through the visualization and management system, various countermeasures are considered and tested for decision makers, such that one or more of the most effective countermeasures are recommended within a given area to improve traffic safety thereof.

Abstract: A real-time traffic safety visualization and management system using traffic data, social media data, weather data, and other similar data enable proactive decisions for reducing the number of traffic incidents or mitigating their severity. The system utilizes predictive algorithms in a hybrid framework to diagnose real-time traffic safety conditions. Meanwhile, Pro-active Traffic Management (PATM) Strategies are provided by the system for the predicted high-risk locations. Moreover, through the visualization and management system, various countermeasures are considered and tested for decision makers, such that one or more of the most effective countermeasures are recommended within a given area to improve traffic safety thereof.