Abstract: An autonomous off-road vehicle (AOV) includes a vehicle body and a vehicle arm coupled to the vehicle body and including a set of prongs and a clamp extending outward from an end of the vehicle arm. A controller causes the vehicle arm to pick up a pile by: aligning the set of prongs with an end of the pile such that a first prong aligns with an opening on a first side of a web of the pile and a second prong aligns with a space on a second side of the web, inserting the set of prongs into the opening on the first side and the space on the second side, and compressing the clamp into an exterior surface of a flange of the pile such that the set of prongs are reciprocally compressed into an interior surface of the flange on either side of the web.

Abstract: An autonomous pile driving system comprises an arm of an autonomous offroad vehicle (AOV) configured to hold and drive a pile, a chute configured to stabilize the pile as the pile is being driven. The autonomous pile driving system further comprises a controller configured to identify a location in the geographic area where a pile is to be driven (e.g., installed) and position the chute at the location. The controller aligns the pile secured by the AOV with an opening of the chute and inserts the pile into the chute by actuating an arm (or other suitable component) of the AOV securing the pile.

Abstract: A processing equipment and a control method thereof are provided. The processing equipment includes a furnace body, a temperature sensor, and a heater unit. A furnace cavity of the furnace body divided into main heating zones and auxiliary heating zones. The heater unit includes main heating elements located in the main heating zones and auxiliary heating elements located in the auxiliary heating zones. The control method includes obtaining an actual temperature detected by the temperature sensor; determining a first heating power according to a first temperature difference and a first preset adjustment rule; determining a second heating power according to the first heating power and a preset adjustment parameter; adjusting an actual working power of the main heating elements to the first heating power, adjusting an actual working power of the auxiliary heating elements to the second heating power.

Abstract: An example method of configuring an entitlement service that manages entitlement of software in a virtualized computing system includes: receiving, at a plug-in of the entitlement service, software component data that specifies a component type and offerings of the component type, the offerings associated with feature sets, the entitlement service executing on a cloud platform in the virtualized computing system; storing, by the plug-in, the software component data in a database; and notifying, by the plug-in, the entitlement service to support entitlement of components of the software having the component type.

Abstract: An example method of distributed load balancing in a virtualized computing system includes: configuring, at a logical load balancer, a traffic detector to detect traffic to a virtual internet protocol address (VIP) of an application having a plurality of instances; detecting, at the traffic detector, a first request to the VIP from a client executing in a virtual machine (VM) supported by a hypervisor executing on a first host; sending, by a configuration distributor of the logical load balancer in response to the detecting, a load balancer configuration to a configuration receiver of a local load balancer executing in the hypervisor for configuring the local load balancer to perform load balancing for the VIP at the hypervisor using the load balancer configuration.

Abstract: In some implementations, the EMV uses a calibration to inform autonomous control over the EMV. To calibrate an EMV, the system first selects a calibration action comprising a control signal for actuating a control surface of the EMV. Then, using a calibration model comprising a machine learning model trained based on one or more previous calibration actions taken by the EMV, the system predicts a response of the control surface to the control signal of the calibration action. After the EMV executes the control signal to perform the calibration action, the EMV system monitors the actual response of the control signal and uses that to update the calibration model based on a comparison between the predicted and monitored states of the control surface.

Abstract: An earth moving vehicle (EMV) autonomously performs an earth moving operation within a dig site. If the EMV determines that a state of the EMV or the dig site triggers a triggering condition associated with a pause in the autonomous behavior of the EMV, the EMV determines a risk associated with the state or triggering condition. If the risk is greater than a first threshold, the EMV continues the autonomous performance and notifies a remote operator that the triggering condition was triggered. If the risk is greater than the first threshold risk but less than a second threshold risk, the EMV is configured to operate in a default state before continuing and notifying the remote operator. If the risk is greater than the second threshold risk, the EMV notifies the remote operator of the state pauses the performance until feedback is received from the remote operator.

Abstract: An earth moving vehicle (EMV) autonomously performs an earth moving operation within a dig site. If the EMV determines that a state of the EMV or the dig site triggers a triggering condition associated with a pause in the autonomous behavior of the EMV, the EMV determines a risk associated with the state or triggering condition. If the risk is greater than a first threshold, the EMV continues the autonomous performance and notifies a remote operator that the triggering condition was triggered. If the risk is greater than the first threshold risk but less than a second threshold risk, the EMV is configured to operate in a default state before continuing and notifying the remote operator. If the risk is greater than the second threshold risk, the EMV notifies the remote operator of the state pauses the performance until feedback is received from the remote operator.

Abstract: An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to generate control signals for moving the portion of the EMV to the desired state based on the current state. After the EMV executes the selected set of control signals, the system measures an updated state of the portion of the EMV. In some cases, this updated state of the EMV is used to iteratively update the machine learning model using an online learning process.

Abstract: An autonomous off-road vehicle (AOV) includes a vehicle body and a vehicle arm coupled to the vehicle body and including a set of prongs and a clamp extending outward from an end of the vehicle arm. A controller causes the vehicle arm to pick up a pile by: aligning the set of prongs with an end of the pile such that a first prong aligns with an opening on a first side of a web of the pile and a second prong aligns with a space on a second side of the web, inserting the set of prongs into the opening on the first side and the space on the second side, and compressing the clamp into an exterior surface of a flange of the pile such that the set of prongs are reciprocally compressed into an interior surface of the flange on either side of the web.

Abstract: An electronic vaporizer has an upper section that has an upper housing. The upper section also retains a right cartridge. The right cartridge is retained within the upper housing. The right cartridge further includes a right heater, a right tank, and a right chimney. A cartridge is retained within the upper housing. The left cartridge further includes a left heater, a left tank and a left chimney. The left cartridge is parallel to the right cartridge. A lower section has a lower housing. A battery is retained in the lower housing. The battery is configured to activate the right heater and the left heater.

Abstract: In some implementations, the EMV uses a calibration to inform autonomous control over the EMV. To calibrate an EMV, the system first selects a calibration action comprising a control signal for actuating a control surface of the EMV. Then, using a calibration model comprising a machine learning model trained based on one or more previous calibration actions taken by the EMV, the system predicts a response of the control surface to the control signal of the calibration action. After the EMV executes the control signal to perform the calibration action, the EMV system monitors the actual response of the control signal and uses that to update the calibration model based on a comparison between the predicted and monitored states of the control surface.

Abstract: Provided are a synchronous fluorescence detector for observing the interface concentration of fluorescent pollutants and application method. The detector comprises a first electric displacement platform, a quartz cuvette, an excitation light path, a collection light path and a second electric displacement platform. The application method comprises the following steps: first exciting fluorescent pollutants by utilizing UV light with specific wavelengths to emit fluorescent light; then collecting fluorescence signals emitted by the excited fluorescent pollutants to the greatest extent by utilizing an UV anti-reflection convex lens combination; and finally, processing the fluorescent signals acquired by a photomultiplier by utilizing a difference method to determine a precise light intensity of a thin layer which is moved at a specific spacing by utilizing the electric displacement platforms so as to determine fugacity distribution of the fluorescent pollutants in the microlayer near an interface.

Abstract: Small molecule compounds that selectively bind to non-canonical G-quadruplex (G4) structures, such as G4s in DNA found in various types of genes described herein, along with methods of using the compounds to reduce or inhibit protein (e.g., N-Myc protein) expression in cells, such as cancer cells. The compounds have a structure according to formulas described herein, or a stereoisomer, tautomer, or pharmaceutically effective salt or ester thereof.

Abstract: An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to generate control signals for moving the portion of the EMV to the desired state based on the current state. After the EMV executes the selected set of control signals, the system measures an updated state of the portion of the EMV. In some cases, this updated state of the EMV is used to iteratively update the machine learning model using an online learning process.

Abstract: An example method of distributed load balancing in a virtualized computing system includes: configuring, at a logical load balancer, a traffic detector to detect traffic to a virtual internet protocol address (VIP) of an application having a plurality of instances; detecting, at the traffic detector, a first request to the VIP from a client executing in a virtual machine (VM) supported by a hypervisor executing on a first host; sending, by a configuration distributor of the logical load balancer in response to the detecting, a load balancer configuration to a configuration receiver of a local load balancer executing in the hypervisor for configuring the local load balancer to perform load balancing for the VIP at the hypervisor using the load balancer configuration.

Abstract: A autonomous off-road vehicle (AOV) accesses a pile plan map indicating a plurality of locations in a geographic area at which piles are to be installed. The AOV selects a first location and a second location from the plurality of locations using the pile plan map. The AOV autonomously navigates to the first location. The AOV autonomously loads a first pile onto a driving tool of the AOV. The AOV autonomously drives the first pile into the ground at the first location using the driving tool. The AOV autonomously navigates to the second location. the AOV autonomously loads a second pile onto the driving tool. And the AOV autonomously drives the second pile into the ground at the second location using the driving tool.

Abstract: An autonomous off-road vehicle (AOV) accesses a pile plan map indicating a plurality of locations within a geographic area at which piles are to be installed. The AOV generates an obstacle map indicating locations of obstacles within the geographic area. The AOV autonomously navigates to a first location of the plurality of locations using the pile plan map. In response to driving a pile into the ground at the first location, the AOV modifies the obstacle map to include a representation of the pile at the first location. The AOV autonomously navigates to a second location of the plurality of locations using the pile plan map. In response to driving a pile into ground at the second location, the AOV modifies the obstacle map that includes the representation of the pile at the first location to further include a representation of the pile at the second location.

Abstract: A pile plan map indicating a plurality of locations in a geographic area at which piles are to be installed is accessed. A first set of locations is identified from the plurality of locations and a first set of piles to be driven into the ground at the first set of locations using the pile plan map is identified. An order for driving the first set of piles into the ground is identified and a pile type for each of the first set of piles is identified. Basket assembly instructions are generated for assembling the first set of piles into a basket based on the identified order and the identified pile types. The first set of piles are assembled autonomously or manually into the basket based on the generated basket assembly instructions.

Abstract: An autonomous off-road vehicle (AOV) includes a vehicle body and a vehicle arm coupled to the vehicle body and including a set of prongs and a clamp extending outward from an end of the vehicle arm. A controller causes the vehicle arm to pick up a pile by: aligning the set of prongs with an end of the pile such that a first prong aligns with an opening on a first side of a web of the pile and a second prong aligns with a space on a second side of the web, inserting the set of prongs into the opening on the first side and the space on the second side, and compressing the clamp into an exterior surface of a flange of the pile such that the set of prongs are reciprocally compressed into an interior surface of the flange on either side of the web.