Abstract: Systems and methods for determining a degree or rate of error for treatments at a field are disclosed herein. In some embodiments, a system receives first data corresponding to a first agronomic treatment at a field and second data corresponding to a second agronomic treatment at the field. The system uses the first and second data to determine differences and overlaps between characteristics of the first and second data to quantify an error rate at individual subsets of the field. Based on the quantified error rate, a number of metrics and yield data may be interpreted differently or modified to fit the result of the quantified error rate. The system uses the quantified error rate to predict the effectiveness of treatments, modify the rate of experienced yields at a field, and recommend real-time and subsequent corrective actions to take at the field.

Abstract: A method for designing and producing a reconstruction assembly for implantation onto a mandible to replace a resected or damaged portion, the method utilizing a virtual and a physical 3-D model of a patient, as well as the reconstruction assembly itself, the reconstruction assembly having a fixation implant, a fibular flap, implant posts and a dental prosthesis with removable positioning extensions.

Abstract: A method for designing and producing a reconstruction assembly for implantation onto a maxilla or mandible to replace a resected or damaged portion, the method utilizing a virtual and a physical 3-D model of a patient, as well as the reconstruction assembly itself, the reconstruction assembly having a fixation implant, a dental prosthesis, a fibular flap, a removable alignment outrigger joined to the dental prosthesis, and implant posts.

Abstract: Systems and methods for determining a degree or rate of error for treatments at a field are disclosed herein. In some embodiments, a system receives first data corresponding to a first agronomic treatment at a field and second data corresponding to a second agronomic treatment at the field. The system uses the first and second data to determine differences and overlaps between characteristics of the first and second data to quantify an error rate at individual subsets of the field. Based on the quantified error rate, a number of metrics and yield data may be interpreted differently or modified to fit the result of the quantified error rate. The system uses the quantified error rate to predict the effectiveness of treatments, modify the rate of experienced yields at a field, and recommend real-time and subsequent corrective actions to take at the field.

Abstract: A device for determining a lag winner in billiards and method of use are provided. The method disclosed includes placing a lag winner determination device such that the device is alongside a side rail of the billiards table and closer to a head rail of the billiards table than billiard balls used in the lag. The method further includes activating an illumination source within the lag winner determination device and moving the illumination source until it provides incident light to one of the billiard balls used in the lag. The method further includes determining the winner as a player that used the billiard ball that received the incident light from the illumination source.

Abstract: A device for determining a lag winner in billiards and method of use are provided. The method disclosed includes placing a lag winner determination device such that the device is alongside a side rail of the billiards table and closer to a head rail of the billiards table than billiard balls used in the lag. The method further includes activating an illumination source within the lag winner determination device and moving the illumination source until it provides incident light to one of the billiard balls used in the lag. The method further includes determining the winner as a player that used the billiard ball that received the incident light from the illumination source.