Abstract: Described herein is a computer implemented method. The method comprises receiving, by an issue tracking system, a deployment update from a deployment system which includes deployment information in respect of one or more issues maintained by the issue tracking system. The method further comprises associating one or more issues maintained by the issue tracking system with deployment information by identifying the one or more issues to which the deployment information in the deployment update relates, extracting the deployment information from the deployment update, and associating the deployment information with each of the identified issues.

Abstract: An electric powered watercraft includes a board, a battery, a motor, and a controller with an output, wherein an optical waveguide communicates light from the output to a dock of the board.

Abstract: A machine learning model is scanned to detect actual or potential threats. The threats can be detected before execution of the machine learning model or during an isolated execution environment. The threat detection may include performing a machine learning file format check, vulnerability check, tamper check, and stenography check. The machine learning model may also be monitored in an isolated environment during an execution or runtime session. After performing a scan, the system can generate a signature based on actual, potential, or absence of detected threats.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: A system for multi-factor location-based device verification is configured to receive a first location factor, which may include GPS data, from a client device. The system is also configured to receive one or more additional location factors, such as a second location factor and/or a third location factor, from first and/or second wireless beacons, respectively. The wireless beacons may be located within a predefined area, such as a sports book or another casino area, and the system may determine, based upon the one or more location factors, whether the client device is within the predefined area. As a result, the location of the client device may be verified based upon one or more location factors. In addition, in response to verifying the location of the client device, a new wagering account may be established and/or wagering may be initiated.

Abstract: A system detects and responds to malicious acts directed towards machine learning models. Data fed into and output by a machine learning model is collected by a sensor. The data fed into the model includes vectorization data, which is generated from raw data provided from a requester, such as for example a stream of timeseries data. The output data may include a prediction or other output generated by the machine learning model in response to receiving the vectorization data. The vectorization data and machine learning model output data are processed to determine whether the machine learning model is being subject to a malicious act (e.g., attack). The output of the processing may indicate an attack score. A response for handling the request by a requester may be selected based on the output that includes the attack score, and the response may be applied to the requestor.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: A system detects and responds to malicious acts directed towards machine learning models. Data fed into and output by a machine learning model is collected by a sensor. The data fed into the model includes vectorization data, which is generated from raw data provided from a requester, such as for example a stream of timeseries data. The output data may include a prediction or other output generated by the machine learning model in response to receiving the vectorization data. The vectorization data and machine learning model output data are processed to determine whether the machine learning model is being subject to a malicious act (e.g., attack). The output of the processing may indicate an attack score. A response for handling the request by a requester may be selected based on the output that includes the attack score, and the response may be applied to the requestor.

Abstract: Described is a method of making a densified fiber batt that includes the steps of: a) providing a fiber batt with a first plurality of fibers having a first melting point and a second plurality of fibers having a second melting point different from the first melting point; and b) subjecting the fiber batt to heat and pressure in a static press, thereby forming a densified fiber batt having a first surface and an opposed second surface.

Abstract: A system for multi-factor location-based device verification is configured to receive a first location factor, which may include GPS data, from a client device. The system is also configured to receive one or more additional location factors, such as a second location factor and/or a third location factor, from first and/or second wireless beacons, respectively. The wireless beacons may be located within a predefined area, such as a sports book or another casino area, and the system may determine, based upon the one or more location factors, whether the client device is within the predefined area. As a result, the location of the client device may be verified based upon one or more location factors. In addition, in response to verifying the location of the client device, a new wagering account may be established and/or wagering may be initiated.

Abstract: A system for multi-factor location-based device verification is configured to receive a first location factor, which may include GPS data, from a client device. The system is also configured to receive one or more additional location factors, such as a second location factor and/or a third location factor, from first and/or second wireless beacons, respectively. The wireless beacons may be located within a predefined area, such as a sports book or another casino area, and the system may determine, based upon the one or more location factors, whether the client device is within the predefined area. As a result, the location of the client device may be verified based upon one or more location factors. In addition, in response to verifying the location of the client device, a new wagering account may be established and/or wagering may be initiated.

Abstract: A system for multi-factor location-based device verification is configured to receive a first location factor, which may include GPS data, from a client device. The system is also configured to receive one or more additional location factors, such as a second location factor and/or a third location factor, from first and/or second wireless beacons, respectively. The wireless beacons may be located within a predefined area, such as a sports book or another casino area, and the system may determine, based upon the one or more location factors, whether the client device is within the predefined area. As a result, the location of the client device may be verified based upon one or more location factors. In addition, in response to verifying the location of the client device, a new wagering account may be established and/or wagering may be initiated.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: Described is a method of making a densified fiber batt that includes the steps of: a) providing a fiber batt with a first plurality of fibers having a first melting point and a second plurality of fibers having a second melting point different from the first melting point; and b) subjecting the fiber batt to heat and pressure in a static press, thereby forming a densified fiber batt having a first surface and an opposed second surface.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: Devices, systems and methods for performing maintenance in Data over Cable Service Interface Specification (DOCSIS) network CPE devices and for improving recovery to a normal operating state from maintenance are provided. The devices, systems and methods provide for entering a standby mode for an electronic device for a duration of a maintenance period. A currently-used RF communication channel frequency of the electronic device is stored as a last known channel frequency into a memory. RF communication channel operation between the electronic device and an upstream content distribution device is suspended for the duration of the maintenance period. After the maintenance period, the last known channel frequency is used to reestablish a communication connection between the electronic device and the upstream content distribution device.

Abstract: A system for multi-factor location-based device verification is configured to receive a first location factor, which may include GPS data, from a client device. The system is also configured to receive one or more additional location factors, such as a second location factor and/or a third location factor, from first and/or second wireless beacons, respectively. The wireless beacons may be located within a predefined area, such as a sports book or another casino area, and the system may determine, based upon the one or more location factors, whether the client device is within the predefined area. As a result, the location of the client device may be verified based upon one or more location factors. In addition, in response to verifying the location of the client device, a new wagering account may be established and/or wagering may be initiated.

Abstract: A proportional valve includes an actuator, having a first magnet element and a second magnet element that are energized by wire coils; a non-magnetic carrier in which the first magnet element and the second magnet element are mounted; a first spring beam to which the non-magnetic carrier is suspended adjacent to the first magnet element, and a second spring beam to which the non-magnetic carrier is suspended adjacent to the second magnet element; and a flux frame that conducts magnetic field lines through the actuator. When the wire coils are energized, a magnetic field is created which causes the non-magnetic carrier to move against a valve operator to move a valve poppet away from the closed position against a valve seat, thereby opening the valve. The first and second spring beams restrain the movement of the non-magnetic carrier to an arc of sufficient radius that said movement is quasi-linear.