Abstract: Methods and systems of controlling a vehicle. The methods and systems include switching to a second processor executed mode in response to determining that a range of perception information extends to a range end point that is closer to the vehicle than a first Look Ahead (LA) point. In the second processor executed mode: a motion planner requests a lateral controller to provide a closer LA point relative to the vehicle. The lateral controller determines the closer LA point and sends the closer LA point to the motion planner. The lateral controller generates control commands for an EPS system based on an error between a desired trajectory and an actual trajectory at the closer LA point. The motion planner generates the desired trajectory based on perception data and the closer LA point.

Abstract: A translation method, a model training method, apparatuses, electronic devices and storage mediums, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. In an implementation, a weight for each translation model in at least two pre-trained translation models translating a to-be-translated specified sentence is acquired based on the specified sentence and a pre-trained weighting model; and the specified sentence is translating using the at least two translation models based on the weight for each translation model translating the specified sentence.

Abstract: A carbon nanotube preparation system, including: a pre-growth tube for an early pre-reaction of raw materials before generation of carbon nanotubes; an atomizer for atomizing the carbon nanotube raw materials and then spraying the atomized raw materials into the pre-growth tube; the atomizer is provided at the front end of the pre-growth tube, and has a spray output tube that extends into the pre-growth tube; a growth tube for generating carbon nanotubes and continuous growth of the generated carbon nanotubes; the front end of the growth tube is hermetically connected to the rear end of the pre-growth tube; and a gas curtain generator for forming a gas curtain enclosing the atomized raw materials around the outlet of the spray output tube, and the gas curtain extends parallel to the extension direction of the pre-growth tube; the gas curtain generator is provided inside the pre-growth tube.

Abstract: Capability orchestration in a cloud-native environment includes one or more new combined capability definitions generated by one or more processing units based on existing capability definitions and a combined capability manifest to form a hierarchy of capability definitions. A capability request directed to one or more capabilities can be received by the one or more processing units. One or more capability definitions corresponding to the one or more capabilities can be determined from the hierarchy of capability definitions by the one or more processing units based on the capability request. Deployable resources can be derived by the one or more processing units based on the determined one or more capability definitions. The one or more capabilities can be generated by the one or more processing units based on the derived deployable resources.

Abstract: A vehicle control system for driving behavior vehicle detection includes at least one vehicle object detector configured to detect motion of target vehicles within an object detection range of a host vehicle, a vehicle user interface configured to display a visual indication to a driver of the host vehicle, and a vehicle control module configured to obtain detected motion parameters of the one or more target vehicles via the at least one vehicle object detector, determine a hazard index for each of the one or more target vehicles, according to the detected motion parameters, and in response to the hazard index exceeding a specified threshold value for at least one of the one or more vehicles, update the vehicle user interface to provide a visual notification of identified driving behavior exceeding the specified threshold value for the at least one of the one or more target vehicles.

Abstract: An automatic detection function-integrated detection apparatus includes a drill rod and an elastic water storage bag; two sides of the drill rod are a head region and a tail region, respectively; an interior of the drill rod has a water supply channel, a side wall of the drill rod is provided with a first channel, and a first valve is disposed in the first channel. The automatic detection function-integrated detection apparatus and method for the water flowing fractured zone may complete the detection of the water flowing fractured zone while drilling, and thus the labor intensity of workers may be reduced.

Abstract: The present disclosure provides compositions and methods of inactivating a lipid enveloped virus in a product feedstream in a manufacturing process of a therapeutic protein using environmentally compatible detergents. The present disclosure provides a detergent mixture comprising two environmentally sustainable detergents: n-Octyl-?-D-Glucopyranoside (OG) and n-Dodecyl-?-D-Maltopyranoside (DDM). The performance of this OG:DDM detergent combination is superior to that of Lauryldimethylamine Oxide (LDAO), ECOSURF™ EH9, or Triton X-100 in the purification of therapeutic proteins such as abatacept and belatacept. OG:DDM combinations are highly effective for viral inactivation, while having essentially no impact on protein stability, protein charge distribution (e.g., sialic acid levels), impurity clearance, protein deamination, or protein oxidation. Accordingly, combinations of OG and DDM can be used as substitutes of Triton X-100 for viral inactivation steps in the production of biologics.

Abstract: A network system can receive location data from a provider device of a service provider. Using at least the location data in an optimization model, the network system can determine one or more actions for the service provider to optimize one or more metrics. The one or more metrics correspond to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time. The network system may then transmit a dataset to the provider device to display information corresponding to the one or more actions for the service provider.

Abstract: A network system can receive location data from a provider device of a service provider. Using at least the location data in an optimization model, the network system can determine one or more actions for the service provider to optimize one or more metrics. The one or more metrics correspond to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time. The network system may then transmit a dataset to the provider device to display information corresponding to the one or more actions for the service provider.

Abstract: In a method for synchronizing character display, motion data of a first character over a time period is obtained. A first phase parameter for the first character at an end of the time period is determined based on the motion data and a standard action cycle for a current action that is performed by the first character. A second phase parameter from the second terminal is received. The first phase parameter is adjusted based on the second phase parameter to obtain a third phase parameter. Updated motion data for the first character is generated based on the third phase parameter. The first character is displayed based on the updated motion data.

Abstract: A generative adversarial multi-headed attention neural network self-learning method for aero-engine data reconstruction belongs to the field of end-to-end self-learning of aero-engine missing data. First, the samples are pre-processed, and the machine learning algorithm is used to pre-fill the normalized data first, and the pre-filled information is involved in the network training as part of the training information. Second, a generative adversarial multi-headed attention network model is constructed and the trained sample set is used to train the generative adversarial multi-headed attention network model. Finally, the samples are generated using the trained sample generator G. The method uses the generative adversarial network to better learn the distribution information of the data, and uses parallel convolution and multi-headed attention mechanism to fully exploit the spatial and temporal information among the aero-engine data.

Abstract: The present disclosure provides a translation method and apparatus, an electronic device, and a non-transitory storage medium. An implementation includes: determining an encoded feature of a sentence to be translated by an encoding module; determining, by a graph network module, a knowledge fusion feature of the sentence to be translated based on a preset graph network, wherein the preset graph network is constructed based on a polysemous word in a source language corresponding to the sentence to be translated and a plurality of translated words corresponding to the polysemous word in a target language; determining, by a decoding network, a translated sentence corresponding to the sentence to be translated based on the encoded feature and the knowledge fusion feature.

Abstract: In some aspects, a device may receive, from a pixel array of a camera, a first image. The device may configure, based at least in part on the first image, a setting of a filter. The filter may be included within a filter array that is arranged within the camera in association with the pixel array. The device may cause the pixel array to capture a second image. Numerous other aspects are described.

Abstract: An electrical connector includes at least one terminal assembly. The terminal assembly includes: a first signal terminal and a second signal terminal being narrow-edge coupled; and an insulating block fixing the first signal terminal and the second signal terminal. A length of the first signal terminal is greater than a length of the second signal terminal. A first connecting portion of the first signal terminal is provided with at least one exposing area, which is exposed to the insulating block and exposed in air medium. The first connecting portion has at least one widening portion and at least one narrow portion connected to each other along a length direction thereof. A width of the widening portion is greater than a width of the narrow portion. The exposing area is provided at the widening portion. A second connecting portion of the second signal terminal is completely wrapped in the insulating block.

Abstract: This application discloses a social method and apparatus based on a three-dimensional virtual environment, a device, and a medium, and belongs to the field of virtual environments. The method includes: displaying a first virtual character located at a first position in a three-dimensional virtual environment; receiving a check-in operation, the check-in operation including an operation of editing first social information for a first event; and displaying a first check-in marker created by the first virtual character at a second position in the three-dimensional virtual environment, the first check-in marker being configured for displaying, to a virtual character arriving at the second position, the first social information edited by the first virtual character for the first event. In the foregoing solution, a check-in marker may be placed in the three-dimensional virtual environment to share social information with another virtual character in the three-dimensional virtual environment.

Abstract: This disclosure relates to a power converter, a slope signal generator and a slope signal generation method thereof. The power converter comprises an inductor and a switch transistor coupled between the input terminal and the output terminal. The slope signal generator comprises: a proportion transformation circuit, for performing proportion transformation on the current sense signal of the inductor to obtain a replicated signal; and an offset compensation circuit, for performing offset compensation on the replicated signal to obtain a slope signal, wherein the slope change of the slope signal characterizes the inductance value change of the inductor. The slope signal generator of the power converter can adaptively adjust the slope of the slope signal during the switching cycle, dynamically compensate for the fluctuation of the inductance value, improve the effect of suppressing subharmonic oscillation, thus enhancing the input and output voltage range and stability of the power converter.

Abstract: A multi-scale hybrid attention mechanism modeling method for aero-engine remaining useful life prediction belongs to the field of health management and prediction technology for aero-engines. Firstly, preprocess the data to obtain the sample, set the RUL label, and obtain the true value of the remaining useful life of the sample. Secondly, a multi-scale hybrid attention mechanism model consisting of position encoding layer, feature extraction layer, and regression prediction layer is constructed. Thirdly, train the model, and make the difference between the predicted value output by the model and the true value of the remaining useful life by minimizing the loss function until it reaches the stop standard. Finally, use the trained model to predict the remaining useful life. The method can achieve full fusion of information from different time steps of a single sample, taking into account the correlation between all samples.