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 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: An autonomous off-road vehicle (AOV) includes a vehicle body, and a first platform and second platform configured to carry one or more piles for transport by the AOV. The first platform and second platform are coupled to opposite sides of the vehicle body. A base of each of the first platform and the second platform is angled upwards and away from the vehicle body. The AOV further includes a vehicle tool coupled to the vehicle body and configured to pick up a pile carried by the first platform or the second platform and drive the pile into ground.

Abstract: An autonomous off-road vehicle (AOV) autonomously performs a pile driving operation by driving a pile into the ground at a location identified by a pile plan map. The AOV detects one or more attributes of the pile using one or more sensors during or after the pile driving operation. The AOV determines whether the one or more attributes of the pile exceed respective tolerance thresholds. The AOV performs a quality control action in response to determining that the one or more attributes of the pile exceed the respective tolerance thresholds. The one or more attributes include one or more of a location and an orientation of the pile, and the quality control action is performed in response to determining that the location or the orientation of the pile exceeds the respective tolerance threshold.

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: 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) 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 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 composition of drug targets and the method of using thereof. The composition comprises a vector and a drug using FKBP10 and PCOLCE genes and/or the encoded proteins thereof as drug targets.

Abstract: An excavation vehicle capable of autonomously actuating an excavation tool or navigating an excavation vehicle to perform an excavation routine within an excavation site is described herein. Sensors mounted to the excavation vehicle and the excavation tool produce signals representative of a position and orientation of the corresponding joint relative on the excavation vehicle relative to the excavation site, a position and orientation of the excavation vehicle relative to the excavation site, and one or more features of the excavation site based on the position of the excavation vehicle within the excavation site. A set of solenoids are configured to couple to corresponding hydraulic valves of the excavation tool to actuate the valve. A controller produces actuating signals to control the joints of the excavation tool to autonomously perform the excavation routine based on the signals produced by the sensors.

Abstract: Various solutions for enhancements on integer cycle report for carrier phase positioning are described. An apparatus may receive a positioning reference signal (PRS) from a first network node of a wireless network. The apparatus may measure a carrier phase associated with a delay path and a transmission frequency point of the PRS. Then, the apparatus may report the carrier phase to a second network node of the wireless network.

Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable determining a route between a start point and an end point in a site and navigating over the route. The sensors collect any or more of spatial, imaging, measurement, and location data to detect an obstacle between two locations within the site. Based on the collected data and identified obstacles, the excavation vehicle generates unobstructed routes circumventing the obstacles, obstructed routes traveling through the obstacles, and instructions for removing certain modifiable obstacles. The excavation vehicle determines and selects the shortest route of the unobstructed and obstructed route and navigates over the selected path to move within the site.

Abstract: A method, which is applied to a UE, for controlling the transmission power of each of positioning (POS) sounding reference signals (SRSs) across a subset of multiple component carriers (CCs) in carrier aggregation is provided. A SRS configuration for a subset of the CCs is received. Pathlosses corresponding to SRS transmission in the subset of the CCs are measured. Pathloss measurements corresponding to the subset of the CCs are processed to obtain a single pathloss across the subset of the CCs. The transmission power of each of the POS-SRSs across the subset of the CCs is determined based on the single pathloss. Each of the POS-SRSs are transmitted with the transmission power through the CCs.

Abstract: Disclosed are a gene model for judging prognosis of hepatocellular carcinoma and a construction method and use thereof. According to the present invention, genes with differential expression are obtained by comparing data of hepatocellular carcinoma patient samples with transcriptome data of normal patient samples, and after integration with an extracellular matrix gene set, a LASSO-COX regression model is reduced to obtain a model of 18 genes. The model of the present invention can evaluate the prognosis of hepatocellular carcinoma patients, distinguish and select patients with poor prognosis, so as to guide clinicians to provide more active treatment schemes, and meanwhile avoid over treatment of low-risk hepatocellular carcinoma patients. The gene model helps to construct a tissue chip based on extracellular matrix genes, which can quickly evaluate the prognosis of the hepatocellular carcinoma patients after surgery and realize clinical transformation.