Abstract: In various examples, data collection vehicles or machines may be equipped with one or more LiDAR sensors (and/or other sensors), and the LiDAR sensor(s) may be used to collect frames of LiDAR data representing various real-world conditions. The LiDAR data may be processed using one or more deep neural networks (DNNs) such as a transformer neural network to generate auto-labels representing detected dynamic obstacles of any designated class. Tracking may be applied to generate object tracks (tracklines), estimate velocity, and/or handle occlusions. In some embodiments, the object tracks may be refined based on geometry and/or confidence to improve their accuracy. In some embodiments, the auto-labels are classified to generate an estimated representation of quality, and auto-labels with at least a threshold quality score may be skipped during human labeling. As such, auto-label quality scores may be used to accelerate human validation of auto-labeled scenes by skipping high quality auto-labels.

Abstract: The present disclosure discloses a moss-covered green manure and an application method in assisting ecological remediation. The moss-covered green manure includes the following parts by weight of raw materials: 30-38 parts of plant fibers, 30-35 parts of moss, 5-8 parts of paclobutrazol, 5-7 parts of a growth regulator, 50-62 parts of humus soil and/or an oil cake, and 35-47 parts of electrolytic water. According to the moss-covered green manure and the application method in assisting ecological remediation provided by the present disclosure, bare soil is covered by arranging cooperative moss-covered green manure in a non-planting area of a remediation plant to ensure the beauty of the appearance. Meanwhile, the soil can also be improved by further utilizing the advantages of preserving moisture and fertility, improving the nitrogen fixing capacity of the soil and not competing with plants for fertilizer of the moss-covered green manure.

Abstract: The present disclosure relates, in general, to the methods for the rapid detection of the presence or absence of Lymphogranuloma Venereum (LGV)-causing serovars of Chlamydia trachomatis in a biological or non-biological sample. The methods can include performing an amplification step, a hybridization step, and a detection step. Furthermore, oligonucleotide primers and probes targeting the pmpH gene for the L serovars of Chlamydia trachomatis, along with kits are provided that are designed for the detection of L serovars.

Abstract: Embodiments are disclosed for a process of separating and enhancing audio sound events from an audio sequence. The method may include receiving an audio sequence and a first audio event identifier, the first audio event identifier indicating a requested first audio event type of a plurality of audio event types. The method may further comprise processing an audio spectrogram representation of the audio sequence through a trained encoder-decoder network to generate a first modified audio spectrogram, the first modified audio spectrogram representing audio of the requested first audio event type. The method may further comprise generating an output using the first modified audio spectrogram.

Abstract: A underactuated system robot includes a vehicle wheel portion and a base portion coupled to the vehicle wheel portion. A loaded object is placed on the base portion. The method includes: determining status information of a loaded object on a base portion; and controlling at least one of the base portion and a vehicle wheel portion to move according to the status information, so as to prevent the loaded object from falling from the base portion. In the embodiments, the base portion and/or the vehicle wheel portion can be controlled to move according to the status information of the loaded object on the base portion, to prevent the loaded object from falling from the base portion, thereby improving the stability of the underactuated system robot.

Abstract: Embodiments of the present disclosure relate to multi-view LIDAR perception with motion cues for autonomous and semi-autonomous machines and applications. A DNN may be used to detect objects, a navigable space, weather or surface conditions, artifacts, and/or other parts or features of an environment based on multiple views of LIDAR data from multiple time slices. The DNN may include multiple input channels for processing multiple views of sensor data from multiple time slices to provide motion cues, and the extracted features from the different time slices may be geometrically projected from a first 2D view to a second 2D view, combined with features that were extracted from the second 2D view, and applied to a subsequent stage of the DNN. The data generated by the DNN may be provided to the drive stack of an autonomous vehicle or other ego-machine to enable safe planning and control of the vehicle.

Abstract: In various examples, self-supervised learning may be used to pre-train an encoder network of a masked prediction model to reconstruct masked regions of an input representation of 3D detections such as LiDAR point cloud(s). Spatial and/or temporal masking may be applied to a projected representation of 3D detections (e.g., a two-dimensional (2D) projection image), and the masked prediction model (e.g., a masked auto-encoder or joint-embedding predictive architecture) may be used to reconstruct a representation of the masked regions (e.g., reflection characteristic(s) stored in corresponding pixels or cells of the projected representation, a latent representation of the reflection characteristic(s)) during iterations of self-supervised learning. As such, the pre-trained encoder network of the masked prediction model may be used as a foundation model and fine-tuned with a task-specific output head or its pre-trained weights may be used to initialize a task-specific model.

Abstract: A method for designing a drill bit includes simulating a cutting element cutting a digitized rock sample, storing outputs from the simulating in a digital rock interaction file, modeling the drill bit to have at least one of the cutting element, and using data in the digital rock interaction file to simulate the drill bit in a drilling operation

Abstract: The invention relates to an improved process for synthesizing 6-(cyclopropaneamido)-4-((2-methoxy-3-(1-methyl-1H-1,2,4-triazol-3-yl)phenyl)amino)-5N-(methyl-d3)pyridazine-3-carboxamide of the formula: Compound I is currently in clinical trials for the treatment of auto-immune and auto-inflammatory diseases such as psoriasis.

Abstract: Methods for the rapid detection of the presence or absence of Monkeypox Virus (MPXV) in a biological or non-biological sample are described. The methods can include performing an amplifying step, a hybridizing step, and a detecting step. Furthermore, primers, probes targeting the MPXV F3L gene and the MPXV B21R gene, along with kits are provided that are designed for the detection of MPXV.

Abstract: In various examples, perception of landmark shapes may be used for localization in autonomous systems and applications. In some embodiments, a deep neural network (DNN) is used to generate (e.g., per-point) classifications of measured 3D points (e.g., classified LiDAR points), and a representation of the shape of one or more detected landmarks is regressed from the classifications. For each of one or more classes, the classification data may be thresholded to generate a binary mask and/or dilated to generate a densified representation, and the resulting (e.g., dilated, binary) mask may be clustered into connected components that are iteratively: fitted a shape (e.g., a polynomial or Bezier spline for lane lines, a circle for top-down representations of poles or traffic lights), weighted, and merged. As such, the resulting connected components and their fitted shapes may be used to represent detected landmarks and used for localization, navigation, and/or other uses.

Abstract: A photonic-organic electrochemical transistor (POECT), including a substrate, three terminals including a gate, a drain, and a source disposed over the substrate, wherein the space between the drain and the source forms a channel, and an electrolyte in fluid and electrical communication with the gate and the channel, wherein the channel is formed of a photoactive layer composed of donor-acceptor bulk-heterojunction interfaces.

Abstract: A cutting element may include a substrate; and an ultrahard layer on the substrate, the substrate and the ultrahard layer defining a non-planar working surface of the cutting element such that the ultrahard layer forms a cutting portion and the substrate is at least laterally adjacent to the ultrahard layer. Another cutting element includes a pointed region having a side surface extending from the pointed region outer perimeter to a peak. An ultrahard material body forms a portion of the pointed region including the peak, and a base region extends a depth from the pointed region outer perimeter. The ultrahard material body has a height to width aspect ratio with the height and width measured between two points of the body having the greatest distance apart along a dimension parallel with a longitudinal axis (i.e., height) along a dimension perpendicular to the longitudinal axis (i.e., width).

Abstract: A deep neural network(s) (DNN) may be used to detect objects from sensor data of a three dimensional (3D) environment. For example, a multi-view perception DNN may include multiple constituent DNNs or stages chained together that sequentially process different views of the 3D environment. An example DNN may include a first stage that performs class segmentation in a first view (e.g., perspective view) and a second stage that performs class segmentation and/or regresses instance geometry in a second view (e.g., top-down). The DNN outputs may be processed to generate 2D and/or 3D bounding boxes and class labels for detected objects in the 3D environment. As such, the techniques described herein may be used to detect and classify animate objects and/or parts of an environment, and these detections and classifications may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.

Abstract: A deep neural network(s) (DNN) may be used to perform panoptic segmentation by performing pixel-level class and instance segmentation of a scene using a single pass of the DNN. Generally, one or more images and/or other sensor data may be stitched together, stacked, and/or combined, and fed into a DNN that includes a common trunk and several heads that predict different outputs. The DNN may include a class confidence head that predicts a confidence map representing pixels that belong to particular classes, an instance regression head that predicts object instance data for detected objects, an instance clustering head that predicts a confidence map of pixels that belong to particular instances, and/or a depth head that predicts range values. These outputs may be decoded to identify bounding shapes, class labels, instance labels, and/or range values for detected objects, and used to enable safe path planning and control of an autonomous vehicle.

Abstract: A power distribution method includes: acquiring a charging demand of a target charging terminal, wherein the target charging terminal is connected with a first direct-current bus which is any direct-current bus in a charging device; and in a case where power provided by a power assembly that has been switched into the first direct-current bus does not satisfy the charging demand, if a directly connected power assembly of the first direct-current bus has been switched in, switching a first power assembly into the first direct-current bus, wherein the directly connected power assembly is directly connected with the first direct-current bus, the first power assembly is one power assembly which has not yet been switched in, and the first power assembly is connected to the directly connected power assembly and has a smallest distance to the directly connected power assembly.

Abstract: The present disclosure relates to the technical field of gift box paperboards, and provides a novel gift box paperboard, including a first box body. A first paperboard is arranged on one side of the first box body. A clamping block is fixedly connected to the bottom of the first paperboard. A second paperboard is arranged on one side of the first paperboard. A clamping groove used in cooperation with the clamping block is formed in one side of the second paperboard. The problem that paperboard boxes are very cumbersome to make and cannot be massively produced due to inconvenient connection between paperboards in related technologies is solved.

Abstract: A bilateral teleoperation system includes: a primary-end operation platform and a secondary-end operation platform. The primary-end operation platform includes: a primary-end support, primary-end mechanical arms, a mechanical hand control assembly, and a first controller, a root end of the primary-end mechanical arm being arranged on the primary-end support, and a tail end of the primary-end mechanical arm being connected to the mechanical hand control assembly.

Abstract: A rotary earhanger structure of a wireless earphone includes an earhanger unit and a movable connection sleeve rotationally connected therewith. One end of the earhanger unit includes a first inclined surface portion extending obliquely in a preset rotational direction. The movable connection sleeve has a second inclined surface portion cooperatively connected with the first inclined surface portion. The movable connection sleeve is connected with an elastic member for driving the movable connection sleeve in a direction close to the earhanger unit. The external force rotates the earhanger unit in the preset rotating direction to adjust the wearing angle. When the earhanger unit is not subjected to the external force, the movable connection sleeve moves in the direction close to the earhanger unit under the force of the elastic member, so that the automatic reset function after the earhanger rotation is realized, thereby simplifying user operation and improving user experience.

Abstract: According to an aspect of the present disclosure, a radiation element is provided, comprising: a basic radiation element and one or more bandwidth extension structures; wherein the one or more bandwidth extension structures are mounted on the basic radiation element to extend the operating bandwidth of the basic radiation element. The present disclosure has the following advantages: the radiation element according to the present disclosure has one or more bandwidth extension structures to extend the operating bandwidth of the basic radiation element, such that by combining the plurality of bandwidth extension structures and the basic radiation element, the radiation element may work well at bands beyond its original operating band, which eliminates the need of using a plurality of basic radiation elements due to different operating bandwidths as required, thereby saving costs.