Abstract: The Intelligent Information Conversion System (IICS) facilitates real-time dynamic information exchange among connected and automated vehicle (CAV), roadside intelligent unit (RIU), and cloud platform. The system comprises a codebook, coding module, connector module, and supporting system. The codebook provides a standardized format for information exchange, using a sequence of integers corresponding to various categories such as vehicle automation level, vehicle type, and road category. The coding module encodes and decodes information to enable seamless communication among CAV, RIU, and cloud platform, optimizing data transmission and service levels for autonomous driving. The system supports sorting, encoding, and decoding information into a codebook string, improving real-time interaction and information flow across connected environments. It enhances vehicle automation and supports dynamic, context sensitive data exchanges between different entities in the autonomous ecosystem.

Abstract: Devices, methods, and systems for placing dental auxiliaries on teeth are provided. In some embodiments, for example, a dental auxiliary positioner for placing a dental auxiliary on a tooth includes: a registration element configured to receive a patient's tooth; and an auxiliary support coupled to the registration element and further coupled to an auxiliary, where the auxiliary support is configured to position the auxiliary against a surface of the tooth, and where the auxiliary support includes a frame extending at least partially around the auxiliary, one or more struts coupling the auxiliary to the frame, and a flexible bridge coupling the frame to the registration element, where the flexible bridge is configured to bend in one or more directions relative to the tooth to adjust the position of the auxiliary on the surface of the tooth.

Abstract: The present disclosure provides a rectifier module and a transformer, the rectifier module includes a transformer and a rectifier board, the transformer includes: a magnetic core; a first winding; and a second winding, the magnetic core includes a magnetic column, the first winding is arranged on the magnetic column, and the second winding is arranged outside the first winding; comb-type pins are respectively arranged on opposite sides of the second winding, the comb-type pins are arranged along a first direction, and the comb-type pins include comb teeth and comb gaps; the rectifier board includes: a circuit board; and a plurality of switch element groups arranged along the first direction, the switch element group includes at least one switch element; along the second direction, the comb teeth are adjacent to the switch element; the first direction and the second direction are perpendicular to each other.

Abstract: Methods for predicting an origin of an alteration of a sample are described. The methods may comprise, for example, receiving, using one or more processors, sequence read data associated with the sample, selecting, using the one or more processors, a plurality of reads from the sequence read data based on the alteration, determining, using the one or more processors, at least one feature characterizing the selected plurality of reads, inputting, using the one or more processors, the at least one feature into a statistical model, generating, using the one or more processors, a score indicative of the origin of the alteration by the statistical model, and predicting, using the one or more processors, the origin of the alteration in the sample by comparing the score and one or more predefined thresholds.

Abstract: Methods, devices, and systems for placing dental auxiliaries on teeth and/or removing dental auxiliaries from teeth are provided. In some embodiments, a device for removing a dental auxiliary from a tooth includes: a first elongate member having a proximal end and a distal end; a second elongate member having a proximal end and a distal end, where the first and second elongate members are pivotally coupled to each other; a scraper at the distal end of the second elongate member, where the scraper is configured to apply force to the dental auxiliary to remove the dental auxiliary from the tooth; and a pair of sidewalls configured to capture debris resulting from the removal of the dental auxiliary from the tooth.

Abstract: Techniques are disclosed for automatically generating Subjective, Objective, Assessment and Plan (SOAP) notes. Particularly, techniques are disclosed for training data collection and evaluation for automatic SOAP note generation. Training data is accessed, and evaluation process is performed on the training data to result in evaluated training data. A fine-tuned machine-learning model is generated using the evaluated training data. The fine-tuned machine-learning model can be used to perform a task associated with generating a SOAP note.

Abstract: The present disclosure provides a method for controlling a resonant circuit and a resonant circuit. The resonant circuit to which the method is applicable includes: a primary switching circuit, configured to receive an input voltage; a resonant branch, including a capacitor and an inductor connected in series; a transformer, including a primary winding and a secondary winding, and the resonant branch is connected between the primary switching circuit and the primary winding; and a secondary switching circuit, connected to the secondary winding and configured to provide an output voltage to a load, and the secondary switching circuit includes a synchronous rectifier switch, and the synchronous rectifier switch includes a body diode; the method includes: adjusting, in different working periods, a conduction time of the body diode to cause a switching frequency of the resonant circuit to change.

Abstract: The present disclosure relates to manufacturing training data by leveraging an automated pipeline that manufactures visualization training datasets to train a machine learning model to convert a natural language utterance into meaning representation language logical form that includes one or more visualization actions. Aspects are directed towards accessing an original training dataset, a visualization query dataset, an incremental visualization dataset, a manipulation visualization dataset, or any combination thereof. One or more visualization training datasets are generated by: (i) modifying examples in the original training dataset, the visualization query dataset, or both to include visualization actions, (ii) generating examples, using the incremental visualization dataset, the manipulation visualization dataset, or both, that include visualization actions, or (iii) both (i) and (ii).

Abstract: Techniques are disclosed herein for transforming natural language conversations into a visual output. In one aspect, a computer-implement method includes generating an input string by concatenating a natural language utterance with a schema representation comprising a set of entities for visualization actions, generating, by a first encoder of a machine learning model, one or more embeddings of the input string, encoding, by a second encoder of the machine learning model, relations between elements in the schema representation and words in the natural language utterance based on the one or more embeddings, generating, by a grammar-based decoder of the machine learning model and based on the encoded relations and the one or more embeddings, an intermediate logical form that represents at least the query, the one or more visualization actions, or the combination thereof, and generating, based on the intermediate logical form, a command for a computing system.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to an intelligent information conversion system and related methods for providing collaborative automatic driving to intelligent transportation systems, vehicle networking systems, collaborative management control systems, vehicle-road collaborative systems, automated driving systems, and the like.

Abstract: Techniques are disclosed relating to predicting values for load operations. In some embodiments, front-end circuitry is configured to predict values of load operations based on multiple value tagged geometric length predictor (VTAGE) prediction tables (based on program counter information and branch history information). Training circuitry may adjust multiple VTAGE learning tables based on completed load operations. Control circuitry may pre-compute access information (e.g., an index) for a VTAGE learning table for a load based on branch history information that is available to the front-end circuitry but that is unavailable to the training circuitry, store the pre-computed access information, and provide the pre-computed access information from the first storage circuitry to the training circuitry to access the VTAGE learning table based on completion of the load. This may facilitate VTAGE training without pipelining the branch history information.

Abstract: The present invention discloses a method for detecting surface flatness of a precast beam based on a three-dimensional point cloud model, including the following steps: (1) performing, according to a specific geometry of a three-dimensional point cloud model of a target component in a three-dimensional coordinate system, coarse calibration and fine calibration on the model sequentially to determine a spatial rotation matrix and perform point cloud coordinate calibration; (2) determining normal vectors at positions of points of the three-dimensional point cloud model of the component according to a principal component analysis method and a K-nearest-neighbor principle, so that a to-be-detected surface is segmented and extracted by defining a normal vector direction and a coordinate interval; and (3) iteratively searching for an optimal reference plane according to a form relationship between the to-be-detected surface and the three-dimensional coordinate system and calculating flatness of the surface.

Abstract: A system, e.g., a system on a chip (SOC), may include one or more processors. A processor may execute an instruction synchronization barrier (ISB) instruction to enforce an ordering constraint on instructions. To execute the ISB instruction, the processor may determine whether contexts of the processor required for execution of instructions older than the ISB instruction are consumed for the older instructions. Responsive to determining that the contexts are consumed for the older instructions, the processor may initiate fetching of an instruction younger than the ISB instruction, without waiting for the older instructions to retire.

Abstract: Embodiments of the present disclosure include techniques for validating structured electronic documents. In one embodiment, a structured electronic document comprises a reference to a fragment in another structure electronic document. The documents are combined to replace reference with the fragment. The resulting combined document may be validated to generate a first diagnostic array corresponding to the combined document. The first diagnostic array is converted to a second diagnostic array corresponding to the original document. A validation result may specify where in the original documents an error occurred.

Abstract: A printer assembly that includes a module and a first set of drive components is provided. The module includes a plurality of ports that are configured to be removably coupled to a corresponding drive component of the first set of drive components and further configured to be removably coupled to a corresponding drive component of a second set of drive components. Each of the drive components of the first set of drive components are of a different size than each of the drive components of the second set of drive components.

Abstract: A system, e.g., a system on a chip (SOC), may include one or more processors. A processor may execute an instruction synchronization barrier (ISB) instruction to enforce an ordering constraint on instructions. To execute the ISB instruction, the processor may determine whether contexts of the processor required for execution of instructions older than the ISB instruction are consumed for the older instructions. Responsive to determining that the contexts are consumed for the older instructions, the processor may initiate fetching of an instruction younger than the ISB instruction, without waiting for the older instructions to retire.

Abstract: The present disclosure is related to techniques for converting a natural language utterance to a logical form query and deriving a natural language interpretation of the logical form query. The techniques include accessing a Meaning Resource Language (MRL) query and converting the MRL query into a MRL structure including logical form statements. The converting includes extracting operations and associated attributes from the MRL query and generating the logical form statements from the operations and associated attributes. The techniques further include translating each of the logical form statements into a natural language expression based on a grammar data structure that includes a set of rules for translating logical form statements into corresponding natural language expressions, combining the natural language expressions into a single natural language expression, and providing the single natural language expression as an interpretation of the natural language utterance.

Abstract: Methods and systems for generating support structures for additively manufactured objects are described herein. In some embodiments, a method includes receiving a digital representation of a dental appliance configured to implement a treatment stage of a treatment plan for a patient's teeth. The method can include generating a support structure arrangement configured to support the dental appliance during an additive manufacturing process. The support structure arrangement can be generated using a machine learning model. The machine learning model can be trained on a training data set including appliance data representing geometries of a plurality of dental appliances, support structure data representing geometries of a plurality of support structure arrangements, and outcome data representing outcomes of the additive manufacturing process for the plurality of dental appliances with the respective support structure arrangements.

Abstract: A molecular beacon delivery system for directly detecting circulating tumor cells in blood, comprising nanoparticles self-assembled by a polymer material, protamine, and a molecular beacon.