Abstract: In an embodiment, a power management system includes a detection unit configured to detect a power interruption to a power supply. The system further includes a communication interface configured to, in response to the detected power interruption, provide a message regarding the detected power interruption. In response to the detected power interruption, a computer network switch provides notifications to a plurality of servers connected to the switch to allow the plurality of servers to prepare for a loss in power.

Abstract: Phosphoramidate esters and related nucleotide analogs useful in polynucleotide sequencing techniques, and synthetic methods for preparing those compounds, are disclosed. These compounds include nucleotide phosphoramidates analogs that are modified on the alpha-phosphate to enable attachment of a variety of application-specific substituents such as tether molecules.

Abstract: A fishing lure comprising: i) a body segment; ii) a tail segment; iii) a linkage for coupling the body segment and the tail segment; iv) a first magnet coupled to the body segment; and v) a second magnet coupled to the tail segment. The first and second magnets are set up in a state of repulsion in order to move the body segment and tail segment apart. The linkage is adjustable in length in order to increase or decrease the force of repulsion between the first and second magnets.

Abstract: In one embodiment, a method includes a computing system receiving information from an autonomous vehicle (AV). Based on the received information, the system may identify a target objective, with an associated target destination, for the AV and determine that the AV is able to transport passengers while furthering the target objective. The system may receive multiple ride requests from ride requestors, respectively. Each of the ride requests is associated with an origination location and a destination location. The system may match the AV with one of the ride requests based on a location of the AV, the target destination of the target objective, and the origination location and destination location associated with the ride request. The system may instruct the AV to perform a transportation task from the origination location to the destination location associated with the ride request, and drive to the target destination after completing the transportation task.

Abstract: In particular embodiments, a computing system may receive an indication of an impaired sensor component from a first autonomous vehicle. The system may identify a sensor type of the impaired sensor component and determine a suitable service center for servicing the sensor type based on one or more criteria. The system may identify a second autonomous vehicle. The second autonomous vehicle has a functional sensor component of the sensor type. The system may send instructions to the second autonomous vehicle to drive to a location of the first autonomous vehicle and share sensor data from the functional sensor component with the first autonomous vehicle. The first autonomous vehicle may be instructed to drive to the service center location using sensor data of the second autonomous vehicle. The second autonomous vehicle may be instructed to drive to the service center location with the first autonomous vehicle.

Abstract: In particular embodiments, a computing system may generate a prediction of requests for autonomous vehicles in a fleet of collectively managed autonomous vehicles based on a current condition and a future event, the prediction including a predicted request level and a predicted duration of the request level. The system may receive status information from fleet vehicles and identify a vehicle in need of service. The system may receive status information from service centers and identify a service center to service the vehicle. The system may determine a time at which to service the vehicle at the identified service center based on the generated prediction of requests, schedule the vehicle for service at the identified service center at the determined time, and instruct the vehicle to drive to the service center to be serviced at the determined time. In particular embodiments, the prediction of requests may be generated using machine learning.

Abstract: Phosphoramidate esters and related nucleotide analogs useful in polynucleotide sequencing techniques, and synthetic methods for preparing those compounds, are disclosed, including compounds having the following structure: wherein R1, R2, R3 and R4 are as defined herein.

Abstract: Phase modulated Optical Parametric Amplification Imaging (p-OPA), can be used to determine the magnitude and the sign of the second-order nonlinear susceptibility of a material, and its spatial variation.

Abstract: A novel soybean variety, designated 5PESH71 is provided. Also provided are the seeds of soybean variety 5PESH71, cells from soybean variety 5PESH71, plants of soybean 5PESH71, and plant parts of soybean variety 5PESH71. Methods provided include producing a soybean plant by crossing soybean variety 5PESH71 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PESH71, methods for producing other soybean varieties or plant parts derived from soybean variety 5PESH71, and methods of characterizing soybean variety 5PESH71. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PESH71 are further provided.

Abstract: This disclosure is related to systems, devices, processes, and methods to optimize a laser power boost amplitude, a laser power boost duration, or both in a heat-assisted data recording device, such as in heat-assisted magnetic recording (HAMR). The amplitude and duration for the laser power boost may be determined for a specific portion of a write operation, such as a first sector of the write operation. During operation of a data storage device, the laser power boost may provide additional power to the laser for the specific portion. Once the laser power boost duration has elapsed, the data storage device may continue providing power to the laser at the normal power input range of the laser. The laser power boost settings may be determined on a per head per zone basis, per track basis, or another configuration.

Abstract: Disclosed is a fail-safe system for vehicle proximity including, in some embodiments, an autonomous-vehicle control system onboard a vehicle, a brake system of the vehicle, and at least one onboard transceiver onboard the vehicle. An autonomous-vehicle control-system module can be configured with collision-determining logic. A brake-system module can be configured to slow down or stop the vehicle upon receiving a braking-process instruction from the control-system module. A transceiver module can be configured to receive signals from at least one external transmitter moving toward or away from the vehicle. The transceiver module can be configured to send to the control-system module proximity information for the external transmitter as it moves toward or away from the vehicle.

Abstract: A novel soybean variety, designated 5PZCY11 is provided. Also provided are the seeds of soybean variety 5PZCY11, cells from soybean variety 5PZCY11, plants of soybean 5PZCY11, and plant parts of soybean variety 5PZCY11. Methods provided include producing a soybean plant by crossing soybean variety 5PZCY11 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PZCY11, methods for producing other soybean varieties or plant parts derived from soybean variety 5PZCY11, and methods of characterizing soybean variety 5PZCY11. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PZCY11 are further provided.

Abstract: A novel soybean variety, designated 5PACK85 is provided. Also provided are the seeds of soybean variety 5PACK85, cells from soybean variety 5PACK85, plants of soybean 5PACK85, and plant parts of soybean variety 5PACK85. Methods provided include producing a soybean plant by crossing soybean variety 5PACK85 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PACK85, methods for producing other soybean varieties or plant parts derived from soybean variety 5PACK85, and methods of characterizing soybean variety 5PACK85. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PACK85 are further provided.

Abstract: A novel soybean variety, designated 5PSAA27 is provided. Also provided are the seeds of soybean variety 5PSAA27, cells from soybean variety 5PSAA27, plants of soybean 5PSAA27, and plant parts of soybean variety 5PSAA27. Methods provided include producing a soybean plant by crossing soybean variety 5PSAA27 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PSAA27, methods for producing other soybean varieties or plant parts derived from soybean variety 5PSAA27, and methods of characterizing soybean variety 5PSAA27. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PSAA27 are further provided.

Abstract: A novel soybean variety, designated 5PVED74 is provided. Also provided are the seeds of soybean variety 5PVED74, cells from soybean variety 5PVED74, plants of soybean 5PVED74, and plant parts of soybean variety 5PVED74. Methods provided include producing a soybean plant by crossing soybean variety 5PVED74 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PVED74, methods for producing other soybean varieties or plant parts derived from soybean variety 5PVED74, and methods of characterizing soybean variety 5PVED74. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PVED74 are further provided.

Abstract: A novel soybean variety, designated 5PAAC58 is provided. Also provided are the seeds of soybean variety 5PAAC58, cells from soybean variety 5PAAC58, plants of soybean 5PAAC58, and plant parts of soybean variety 5PAAC58. Methods provided include producing a soybean plant by crossing soybean variety 5PAAC58 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PAAC58, methods for producing other soybean varieties or plant parts derived from soybean variety 5PAAC58, and methods of characterizing soybean variety 5PAAC58. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PAAC58 are further provided.

Abstract: A novel soybean variety, designated 5PBPZ46 is provided. Also provided are the seeds of soybean variety 5PBPZ46, cells from soybean variety 5PBPZ46, plants of soybean 5PBPZ46, and plant parts of soybean variety 5PBPZ46. Methods provided include producing a soybean plant by crossing soybean variety 5PBPZ46 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PBPZ46, methods for producing other soybean varieties or plant parts derived from soybean variety 5PBPZ46, and methods of characterizing soybean variety 5PBPZ46. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PBPZ46 are further provided.

Abstract: A novel soybean variety, designated 5PZVU43 is provided. Also provided are the seeds of soybean variety 5PZVU43, cells from soybean variety 5PZVU43, plants of soybean 5PZVU43, and plant parts of soybean variety 5PZVU43. Methods provided include producing a soybean plant by crossing soybean variety 5PZVU43 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PZVU43, methods for producing other soybean varieties or plant parts derived from soybean variety 5PZVU43, and methods of characterizing soybean variety 5PZVU43. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PZVU43 are further provided.

Abstract: A novel soybean variety, designated 5PTEG52 is provided. Also provided are the seeds of soybean variety 5PTEG52, cells from soybean variety 5PTEG52, plants of soybean 5PTEG52, and plant parts of soybean variety 5PTEG52. Methods provided include producing a soybean plant by crossing soybean variety 5PTEG52 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PTEG52, methods for producing other soybean varieties or plant parts derived from soybean variety 5PTEG52, and methods of characterizing soybean variety 5PTEG52. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PTEG52 are further provided.

Abstract: A novel soybean variety, designated XB46V15R is provided. Also provided are the seeds of soybean variety XB46V15R, cells from soybean variety XB46V15R, plants of soybean XB46V15R, and plant parts of soybean variety XB46V15R. Methods provided include producing a soybean plant by crossing soybean variety XB46V15R with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety XB46V15R, methods for producing other soybean varieties or plant parts derived from soybean variety XB46V15R, and methods of characterizing soybean variety XB46V15R. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety XB46V15R are further provided.