Abstract: An illustrative example embodiment of a system for registering a user includes at least one computing device that is configured to determine that a user response to a prompt was received from a remote user device. The user response indicates at least two identifiers of the user. The computing device initiates a user account for the user. The computing device determines whether a database includes additional identifiers of the user and associates information with the user account. The information is required for the user account and is based on the two identifiers and any additional identifiers of the user from the database. The computing device causes a request to be sent to the remote user device requesting the user to acknowledge accuracy of the information associated with the user account and to complete creation of the user account.

Abstract: The present disclosure relates to methods for predicting time-to-delivery in pregnant women. The methods include predicting that a pregnant woman will deliver within a predetermined time frame if PAMG-1 is determined to be present at a level above a predetermined detection threshold in a vaginal fluid sample obtained from the pregnant woman. Also provided are methods for determining a patient's risk of preterm labor and/or spontaneous rupture of the chorioamniotic membrane.

Abstract: The present disclosure relates to methods for predicting time-to-delivery in pregnant women. The methods include predicting that a pregnant woman will deliver within a predetermined time frame if PAMG-1 is determined to be present at a level above a predetermined detection threshold in a vaginal fluid sample obtained from the pregnant woman. Also provided are methods for determining a patient's risk of preterm labor and/or spontaneous rupture of the chorioamniotic membrane.

Abstract: BAYSIC (BAYesian System for Integrated Combination) combines sets of genomic and other biological data features to optimize selected data feature attributes, for example, detecting genome variants including single nucleotide variants (SNVs) and small insertion/deletions in genomes. The present disclosure presents one possible embodiment employing BAYSIC to combine single nucleotide variants detected by several distinct variant calling methods into an integrated SNV call set that is more accurate than any single SNV calling method or any ad hoc method of combining call sets. BAYSIC is a, tested and validated method using unsupervised machine learning, employing Bayesian latent class inference to combine variant sets produced by different packages.

Abstract: An illumination system for a vehicle includes an illumination device securable to the vehicle and configured to provide illumination of the exterior of the vehicle and a surrounding environment in response to a signal; at least one lighting array in communication with the illumination device configured to illuminate the exterior of the vehicle and the surrounding environment based on the signal received by the illumination device; and a lift system coupled to the illumination device and configured to enable vertical, lateral, and rotational movement of the illumination device relative to the vehicle.

Abstract: An optimization and management system using a global linearization approach and mixed integer linear programming to perform the dispatch and to schedule a river system for ten days forward while subject to real world, hourly physical, biological, environmental, and recreational constraints. The optimizer system uses a combination of slack variables and stitching methods to approximate a highly nonlinear optimization problem, thereby generating realtime generation schedules to promote to the management authority.

Abstract: A method and system are provided for providing insurance pricing. The method includes acquiring data associated with a vehicle, a roadway, an environment, acquiring data regarding the driver, encrypting the data, transmitting the data, and determining a risk based on the data associated with the vehicle, the roadway, the environment and the driver, and determining an insurance premium price based on the risk, wherein the insurance premium price is in units of price per unit time or price per unit distance.

Abstract: The present disclosure relates to methods for predicting time-to-delivery in pregnant women. The methods include predicting that a pregnant woman will deliver within a predetermined time frame if PAMG-1 is determined to be present at a level above a predetermined detection threshold in a vaginal fluid sample obtained from the pregnant woman. Also provided are methods for determining a patient's risk of preterm labor and/or spontaneous rupture of the chorioamniotic membrane.

Abstract: The present disclosure relates to methods for predicting time-to-delivery in pregnant women. The methods include predicting that a pregnant woman will deliver within a predetermined time frame if PAMG-1 is determined to be present at a level above a predetermined detection threshold in a vaginal fluid sample obtained from the pregnant woman. Also provided are methods for determining a patient's risk of preterm labor and/or spontaneous rupture of the chorioamniotic membrane.

Abstract: An optimization and management system using a global linearization approach and mixed integer linear programming to perform the dispatch and to schedule a river system for ten days forward while subject to real world, hourly physical, biological, environmental, and recreational constraints. The optimizer system uses a combination of slack variables and stitching methods to approximate a highly nonlinear optimization problem, thereby generating realtime generation schedules to promote to the management authority.

Abstract: An optimization and management system using a global linearization approach and mixed integer linear programming to perform the dispatch and to schedule a river system for ten days forward while subject to real world, hourly physical, biological, environmental, and recreational constraints. The optimizer system uses a combination of slack variables and stitching methods to approximate a highly nonlinear optimization problem, thereby generating realtime generation schedules to promote to the management authority.

Abstract: The present disclosure relates to methods for predicting time-to-delivery in pregnant women. The methods include predicting that a pregnant woman will deliver within a predetermined time frame if PAMG-1 is determined to be present at a level above a predetermined detection threshold in a vaginal fluid sample obtained from the pregnant woman. Also provided are methods for determining a patient's risk of preterm labor and/or spontaneous rupture of the chorioamniotic membrane.

Abstract: A guitar pick holder with a recessed rim and a rear support plate for receiving and securing guitar picks. A fastener or a hoop for accepting a material provides means for the guitar pick to be ornamentation. An opening in the holder allows visibility to the guitar pick when the guitar pick is placed in the holder ornament.

Abstract: The present disclosure relates to methods for predicting time-to-delivery in pregnant women. The methods include predicting that a pregnant woman will deliver within a predetermined time frame if PAMG-1 is determined to be present at a level above a predetermined detection threshold in a vaginal fluid sample obtained from the pregnant woman. Also provided are methods for determining a patient's risk of preterm labor and/or spontaneous rupture of the chorioamniotic membrane.

Abstract: A dental device is provided for guiding a drill bit. The dental device comprises a platform adapted to be mounted on a person's jaw. At least one drill guide is coupled to the platform and adapted for translational and rotational adjustment with respect to the platform. In one embodiment, the platform comprises a single bite registration receiver. In another embodiment, the platform comprises a triangular frame, including a cross-arch receiver provided for stability. A third embodiment provides a platform for guiding four drill bits. In each embodiment, a multi-axis positioning assembly enables setting and adjustment of the entry point and angular orientation of each drill guide and provides a surgeon with ample room to view the procedure as it is performed.

Abstract: A dental device is provided for guiding a drill bit. The dental device comprises a platform adapted to be mounted on a person's jaw. At least one drill guide is coupled to the platform and adapted for translational and rotational adjustment with respect to the platform. In one embodiment, the platform comprises a single bite registration receiver. In another embodiment, the platform comprises a triangular frame, including a cross-arch receiver provided for stability. A third embodiment provides a platform for guiding four drill bits. In each embodiment, a multi-axis positioning assembly enables setting and adjustment of the entry point and angular orientation of each drill guide and provides a surgeon with ample room to view the procedure as it is performed.

Abstract: A dental device is provided for guiding a drill bit. The dental device comprises a platform adapted to be mounted on a person's jaw. At least one drill guide is coupled to the platform and adapted for translational and rotational adjustment with respect to the platform. In one embodiment, the platform comprises a single bite registration receiver. In another embodiment, the platform comprises a triangular frame, including a cross-arch receiver provided for stability. A third embodiment provides a platform for guiding four drill bits. In each embodiment, a multi-axis positioning assembly enables setting and adjustment of the entry point and angular orientation of each drill guide and provides a surgeon with ample room to view the procedure as it is performed.

Abstract: BAYSIC (BAYesian System for Integrated Combination) combines sets of genomic and other biological data features to optimize selected data feature attributes, for example, detecting genome variants including single nucleotide variants (SNVs) and small insertion/deletions in genomes. The present disclosure presents one possible embodiment employing BAYSIC to combine single nucleotide variants detected by several distinct variant calling methods into an integrated SNV call set that is more accurate than any single SNV calling method or any ad hoc method of combining call sets. BAYSIC is a, tested and validated method using unsupervised machine learning, employing Bayesian latent class inference to combine variant sets produced by different packages.

Abstract: A guitar pick holder with a recessed rim and a rear support plate for receiving and securing guitar picks. A fastener or a hoop for accepting a material provides means for the guitar pick to be ornamentation. An opening in the holder allows visibility to the guitar pick when the guitar pick is placed in the holder ornament.