Abstract: A multi-mode switchable car includes a car body, a bogie, a wheel assembly, a steering driving module, a steering locking structure and a locking sensing structure. The car body is provided with a control module, and multiple wheel driving programs are preset. The bogie is rotatably connected to the car body. The wheel assembly includes a hub motor connected to the bogie or the car body and a wheel-type component detachably connected to the hub motor, wheel forms are switchable by connecting different wheel-type components to the hub motor. The steering driving module drives the bogie. The steering locking structure locks the bogie when located in a locking position. The locking sensing structure acquires a position of the steering locking structure and is electrically connected with the control module, and the control module switches the wheel driving programs according to position information acquired by the locking sensing structure.

Abstract: This disclosure provides a charging device. The charging device includes a chassis, a charging dock, and a repelling device. The chassis has a parking area for parking a self-moving device. The charging dock is disposed on the chassis. The charging dock is provided with at least one to-be-protected component. The repelling device surrounds at least part of a periphery of the chassis, or surrounds at least part of a peripheral side of the at least one to-be-protected component, so as to form a protection area at the peripheral side of the chassis or the peripheral side of the at least one to-be-protected component, such that a target to-be-repelled subject changes a moving direction or stops moving in response to contacting the repelling device.

Abstract: The present disclosure provides methods, devices and systems that enable simultaneous multiplexing amplification reaction and real-time detection in a single reaction chamber.

Abstract: The present disclosure relates to methods, systems, and non-transitory computer-readable media for determining a value-based threshold for generating digital content to surface to user accounts. In particular, the disclosed systems utilize a zero-day model to extract zero-day features from a plurality of data sources associated with a user account within an inter-network facilitation system. From the zero-day features, the disclosed systems may determine or derive destination-specific identifiers specific to one or more matching systems. The disclosed systems can also generate a zero-day score by utilizing the zero-day model to process the destination-specific identifiers. In some embodiments, the zero-day score indicates a likelihood of the user account establishing a direct-asset-transfer account within the inter-network facilitation system.

Abstract: The present disclosure has disclosed a mowing robot comprises a main body support, omnidirectional wheels, driving wheels, a plurality of drive motors, and a driving control system, a main body support comprises a first end and a second end; the first end and the second end being arranged opposite to each other; the omnidirectional wheels is disposed at the first end; the driving wheels are arranged at the second end; the plurality of drive motors are respectively arranged corresponding to the omnidirectional wheels and the drive wheels; and the driving control system is configured to be connected to the plurality of drive motors, and to control respective rotational speeds of the omnidirectional wheel and the drive wheel by controlling magnitudes of respective input currents of the plurality of drive motors.

Abstract: The present disclosure provides methods and compositions for surface functionalization of solid substrates. The compositions include functionalized silanes and nucleic acid constructs which may react to immobilize the nucleic acid constructs on the surface on the solid substrate. The disclosure also provides methods for immobilization of silanes and nucleic acid constructs on the surface of the substrate.

Abstract: The present disclosure provides methods, apparatus and systems for time-gated fluorescent-based detection. Time-based fluorescence analysis can be used in certain biochemical assays by measuring the emitted photon flux from fluorophores after an individual excitation pulse.

Abstract: Methods and systems are disclosed for database management with controlling documents. Tasks addressed include: identification of requirements in the documents, tracking changes as documents evolve, mapping documents or requirements to database entries, identifying gaps between documents and the database, and proposing database updates. Disclosed embodiments address these tasks using a combination of sequential program logic, machine-learning tools, and client interaction. Workflows address one or more tasks. Examples pertaining to regulatory documents are presented. Variations are disclosed.

Abstract: Compositions and methods for isolating and detecting nucleic acid in a biological sample are provided. The compositions and methods utilize a solid support and an affinity reagent for isolating and detecting the nucleic acid.

Abstract: A method may include executing a baseline classifier on unreviewed transaction features of an unreviewed transaction record to obtain a baseline account identifier, and executing a comparison model on (i) an unreviewed transaction vector of the unreviewed transaction record and (ii) reviewed transaction vectors to obtain comparison scores. The reviewed transaction vectors may correspond to reviewed transaction records each having a user-approved account identifier. The method may further include selecting, using the comparison scores, a reviewed transaction record. The reviewed transaction record may correspond to a comparison score. The comparison score may correspond to a user-approved account identifier of the reviewed transaction record.

Abstract: The present disclosure provides methods and compositions for surface functionalization of solid substrates. The compositions include functionalized silanes and nucleic acid constructs which may react to immobilize the nucleic acid constructs on the surface on the solid substrate. The disclosure also provides methods for immobilization of silanes and nucleic acid constructs on the surface of the substrate.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a theme classification from unstructured text. In particular, in one or more embodiments, the disclosed systems receive experience data comprising an experience score and unstructured text. The disclosed systems can utilize a theme-classifying machine-learning model to generate a theme classification from the unstructured text and associate the theme classification to the experience score. Moreover, in some embodiments, the disclosed systems can determine and take actions based on the theme classification.

Abstract: A transaction model of a general model generates a target transaction vector for a target transaction record. The general model also generates account vectors for accounts. A match score is generated between the account vectors and the transaction vector. The general model selects a first account identifier of an account using the match score. The transaction model also generates historical transaction vectors for historical transaction records. Further, a comparison score is generated between the historical transaction vectors and the target transaction vector. A second account identifier of an historical transaction is selected according to the comparison score. One of the first account identifier and the second account identifier is selected as the account identifier for the transaction record, and the transaction record is stored with the account identifier.

Abstract: A method utilizes a framework for transaction categorization personalization. A transaction record is received. a baseline model is selected from a plurality of machine learning models. An account identifier, corresponding to the transaction record using the baseline model, is selected. The account identifier for the transaction record is presented.

Abstract: A method performs personalized transaction categorization. A transaction record is received, by a server application. In a first stage, sparse raw features are extracted from a transaction record of a transaction and converted into a transaction vector including dense features. In a second stage, the transaction vector is classified into a customized chart of accounts using the dense features to generate adapter model output. The method further includes selecting, an account identifier, corresponding to the transaction record and to an account of the customized chart of accounts, using the adapter model output, and presenting the account identifier for the transaction record.

Abstract: The present disclosure provides methods and compositions for surface functionalization of solid substrates. The compositions include functionalized silanes and nucleic acid constructs which may react to immobilize the nucleic acid constructs on the surface on the solid substrate. The disclosure also provides methods for immobilization of silanes and nucleic acid constructs on the surface of the substrate.

Abstract: A method may include executing a baseline classifier on unreviewed transaction features of an unreviewed transaction record to obtain a baseline account identifier, and executing a comparison model on (i) an unreviewed transaction vector of the unreviewed transaction record and (ii) reviewed transaction vectors to obtain comparison scores. The reviewed transaction vectors may correspond to reviewed transaction records each having a user-approved account identifier. The method may further include selecting, using the comparison scores, a reviewed transaction record. The reviewed transaction record may correspond to a comparison score. The comparison score may correspond to a user-approved account identifier of the reviewed transaction record.

Abstract: The disclosure relates to an activity recognition method of a large receptive field (LRF) large-kernel attention convolution network based on a large receptive field, the method includes the following steps: collecting an action signal, carrying out a preprocessing and a data partition on the action signal to obtain a data set; and training an LRF large-kernel attention convolution network model based on the data set, and introducing a trained LRF large-kernel attention convolution network model into a mobile wearable recognition device for human posture recognition.

Abstract: A method may include executing a baseline classifier on unreviewed transaction features of an unreviewed transaction record to obtain a baseline account identifier, and executing a comparison model on (i) an unreviewed transaction vector of the unreviewed transaction record and (ii) reviewed transaction vectors to obtain comparison scores. The reviewed transaction vectors may correspond to reviewed transaction records each having a user-approved account identifier. The method may further include selecting, using the comparison scores, a reviewed transaction record. The reviewed transaction record may correspond to a comparison score. The comparison score may correspond to a user-approved account identifier of the reviewed transaction record.