Abstract: Future data connection quality may be predicted based on historical data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a portion of an item of content based at least on the predicted future data connection quality. The pre-delivered portion may include any portion of the content including a latter portion of the content. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on historical data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a portion of an item of content based at least on the predicted future data connection quality. The pre-delivered portion may include any portion of the content including a latter portion of the content. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: Future data connection quality may be predicted based on past data connection quality, and future requests for data may be predicted based on past requests. These predictions may be used to help decide whether, when, and/or how to deliver the data in a proactive manner. For example, according to some aspects described herein, a future data connection quality may be predicted based at least on historical data connection quality. It may be determined whether to pre-deliver at least a first portion of an item of content based at least on the predicted future data connection quality. If so, then the at least the portion of the item of content may be pre-delivered to the device and/or to another destination.

Abstract: A modular display system (10) which can be used in a variety of environments for displaying informational signage, advertising, relaying TV images, art installations and so on. The modular display system (10) comprises a fascia assembly (12) comprising an array (16) of light transmitting cells (18) and an illumination assembly (14) comprising an array of light sources (32). In use each of the light sources (32) is alignable with a cell (18) of the fascia assembly. The modular display system (10) further comprises a processor (34) controlling the light sources (32). The cells (18) of the array (16) are hexagonal and at the edges of each fascia assembly (12) the cells (18) are cut along a line which bisects two adjacent or opposite non-parallel walls of each cell (18).

Abstract: An assembly (16) for covering a visual display means (10) which has an array of pixels (12) is described. The assembly (16) comprises an array of cells (18) with reflective walls and an opening at each end. A transparent cover sheet (20) is positioned adjacent the open end of the cells (18) on one side of the array. The array is dimensioned such as in use each cell (18) is aligned with one pixel (12) of the visual display means (10). In this way, large visual display systems with excellent optical performance can be provided which can be used both internally and externally and are capable of bearing loads and forming structural members.

Abstract: The present invention provides a modular display system (10) which can be used in a variety of environments for displaying informational signage, advertising, relaying T.V. images, art installations and so on. The system (10) comprises at least one fascia assembly (12) comprising an array of open-ended cells (18) and at least one illumination assembly (14) comprising an array of light sources (32) such as LEDs. Each light source (32) is aligned with a cell (18) and is controlled by a processor (34). Typically, the array of cells (18) is sandwiched between protective front and rear panels (20, 22). A large display may be built up simply and cost-effectively by arranging a number of fascia assemblies (12) together in the desired geometry, with the processors (34) networked together and controlled by an external control processor.

Abstract: An assembly (16) for covering a visual display means (10) which has an array of pixels (12) is described. The assembly (16) comprises an array of cells (18) with reflective walls and an opening at each end. A transparent cover sheet (20) is positioned adjacent the open end of the cells (18) on one side of the array. The array is dimensioned such as in use each cell (18) is aligned with one pixel (12) of the visual display means (10). In this way, large visual display systems with excellent optical performance can be provided which can be used both internally and externally and are capable of bearing loads and forming structural members.

Abstract: A composite panel (10) and a method for forming the panel are described. The panel (10) comprises an inverted tray (14) of composite material such as fibre reinforced plastic. A transparent or translucent surface layer (12) is provided on the top surface (16) of the tray (14). A block of honeycomb (20) with a backing sheet (22) is bonded within the cavity defined by the top surface (16) and the side walls (18) of the tray (14). The panel may be illuminated by using an electro-luminescent film as the backing sheet (22) or by placing LEDs (30) in the cells (34) of the honeycomb material (20). The composite panel (10) may be used as flooring, to create partition walls, or simply as decorative panels.

Abstract: Polymeric medical fixation screws with multiple cannulations and thereby a reduced risk of shearing while being torqued into place are provided. The polymeric screws have at least two cannulae, on either side of a central longitudinal axis of the screw, extending parallel to the longitudinal axis. Torquing instruments are inserted into the cannulae so that the applied torque force for driving the screws into a bone hole is distributed along the shaft of the screw. In one embodiment, the invention provides interference screws, while in other embodiments the invention provides medical fixation screws with heads and soft tissue-to-bone anchors or suture anchors. The polymeric screws may be fabricated from virtually any suitable biocompatible polymers or composites, including bioabsorbable polymers and their composites.