Abstract: The present invention discloses a multi-energy complementary system for a co-associated abandoned mine and a use method. The multi-energy complementary system for a co-associated abandoned mine includes a mining mechanism, a grouting mechanism and an energy mechanism. In the present invention, the mining of coal and uranium resources is realized through the mining mechanism, the subsidence and seepage reduction of the stratum is realized through the grouting mechanism, and the effective utilization of waste resources is realized through the energy mechanism. Finally, with the efficient cooperation of the three mechanisms, safe and efficient development and utilization of co-associated resources in the full life cycle are realized, and the purposes of green and efficient mining of coal and uranium resources and secondary development of a coal seam goaf are achieved, thereby facilitating the realization of dual-carbon goals and the development of low-carbon green energy.

Abstract: A shell structure of a clothing treating device comprises a rear U-shaped plate, the rear U-shaped plate being bent at two vertical lines to form a left side wall, a right side wall and a rear side wall of a shell, with a cross section being U-shaped. The left side wall and the right side wall are respectively provided with at least one handle part, and the rear U-shaped plate is provided with an air vent communicating with an inside of the shell. As a result, the shell structure of a machine body of the clothing treating device is simplified, the strength is improved, and the assembly efficiency is improved. Also, an air duct arranged in the clothing treating device communicates with the air vent, so that the purpose of exchanging air with the outside through the air vent is realized.

Abstract: An intelligent experimental device for collaborative mining of associated resources includes a signal transmission mechanism, a pressure maintaining mechanism, a feeding mechanism, and a reaction mechanism. The signal transmission mechanism includes a centralized controller, an annunciator, signal receivers, a power supply, a power cord, signal transmitters, and signal sensing valves. The pressure maintaining mechanism includes ambient and axial pressure oil chambers, ambient and axial pressure pumps, ambient and axial pressure liquid distribution tanks, a comprehensive pressure distribution pipe, and hydraulic transmission pipes. The feeding mechanism includes monitoring analyzers, temperature controllers, solution transfer pipes, seepage pumps, mixture conveying pipes, a comprehensive liquid distributor, an aggregate chamber, a liquid chamber, an oil chamber, a gas chamber, a mixing chamber and an analytical purifier.

Abstract: A method and system are provided for scheduling data transmission in a Multiple-Input Multiple-Output (MIMO) system. The MIMO system may comprise at least one MIMO transmitter and at least one MIMO receiver. Feedback from one or more receivers may be used by a transmitter to improve quality, capacity, and scheduling in MIMO communication systems. The method may include generating or receiving information pertaining to a MIMO channel metric and information pertaining to a Channel Quality Indicator (CQI) in respect of a transmitted signal; and sending a next transmission to a receiver using a MIMO mode selected in accordance with the information pertaining to the MIMO channel metric, and an adaptive coding and modulation selected in accordance with the information pertaining to the CQI.

Abstract: Provided are a computer program product, system, and method for training and using a vector encoder to determine vectors for sub-images of text in an image to subject to optical character recognition. A vector encoder is trained to encode images representing text into vectors in a vector space. Vectors of images representing similar text have a high degree of cohesion in the vector space. Vectors of images representing dissimilar text have a low degree of cohesion in the vector space. An input image is processed to determine sub-images of the input image that bound text represented in the input image. The sub-images are inputted to the vector encoder to output sub-image vectors. The vector encoder generates a search vector for search text. Optical character recognition is applied to at least one region of the input image including the sub-images having sub-image vectors matching the search vector.

Abstract: A system includes one or more data processors configured to run a basic input/output system (BIOS) service and a bootloader configuration manager for tuning kernel parameters. The system further includes a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations. The operations include receiving administrative inputs and checking the administrative inputs against a checklist to determine whether any errors are introduced by the administrative inputs. The operations further include writing the administrative inputs to a temporal configuration file in response to no errors being introduced by the administrative inputs. The operations further include exporting the temporal configuration file to a designated output path. The exported temporal configuration file includes kernel parameter settings for configuring a bootloader of a computing device.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.

Abstract: Systems and methods that enable the efficient and adaptive allocation of resources dedicated to a virtualized resource-based computation (e.g., one or more information processing tasks) are provided. In one embodiment, a reward model is generated based on a set of statistical distributions, for example, in response to receiving a request to launch a set of VCRs. Thereafter, an expected reward is predicting for each configuration of a set of configurations based on the reward model and one or more parameters of the corresponding configuration. The expected reward indicates an efficiency in distribution or allocation of physical computation resources to the set of VCRs. A configuration of the set of configurations is selected based on the predicted expected reward for the configuration. The set of VCRs are then configured with the selected configuration.

Abstract: Systems and methods for product retrieval are described. One or more aspects of the systems and methods include receiving a query that includes a text description of a product associated with a brand; identifying the product based on the query by comparing the text description to a product embedding of the product, wherein the product embedding is based on a brand embedding of the brand; and displaying product information for the product in response to the query, wherein the product information includes the brand.

Abstract: Some techniques described herein relate to utilizing a machine-learning (ML) model to select respective samples for queries of a query sequence. In one example, a method includes receiving a query in a query sequence, where the query is directed toward a dataset. Samples are available as down-sampled versions of the dataset. The method further include applying an agent to select, for the query, a sample from among the samples of the dataset. The agent includes an ML model trained, such as via intent-based reinforcement learning, to select respective samples for queries. The query is then executed against the sample to output a response.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a neural network framework for interactive multi-round image generation from natural language inputs. Specifically, the disclosed systems provide an intelligent framework (i.e., a text-based interactive image generation model) that facilitates a multi-round image generation and editing workflow that comports with arbitrary input text and synchronous interaction. In particular embodiments, the disclosed systems utilize natural language feedback for conditioning a generative neural network that performs text-to-image generation and text-guided image modification. For example, the disclosed systems utilize a trained model to inject textual features from natural language feedback into a unified joint embedding space for generating text-informed style vectors. In turn, the disclosed systems can generate an image with semantically meaningful features that map to the natural language feedback.

Abstract: A method for testing terminals includes determining a quantity of terminals to be tested; testing each terminal to be tested in a testing environment and obtaining a quantity of testing results; each testing result includes an actual transmitting power and/or a receiving signal strength; obtaining a first fitting function based on the actual transmitting power, and/or obtaining a second fitting function based on the receiving signal strength; and controlling a target terminal to transmit signals, calculating an actual transmitting power of the target terminal by the first fitting function, and/or controlling the target terminal to receive signals, calculating a receiving signal strength of the target terminal by the second fitting function. A computer apparatus and a non-transitory computer readable medium for testing terminals are also disclosed.

Abstract: The invention provides a method and a system of monitoring a subject. The method comprises the steps of monitoring, from a first angle of detection, a space in which the subject is located to obtain data of the subject from a first perspective view in accordance with the first angle of detection; converting the obtained data of the subject into a three-dimensional data set; processing the three-dimensional data set to create an image of the subject from a second perspective view, said second perspective view being created at a second angle different from the first angle of detection; and analyzing the created image from the second perspective view to determine, calculate, or select one or more characteristics relating to activity of the subject being monitored.

Abstract: Embodiments of the technology described herein describe a machine classifier capable of continually learning new classes through a continual few-shot learning approach. A natural language processing (NLP) machine classifier may initially be trained to identify a plurality of other classes through a conventional training process. In order to learn a new class, natural-language training data for a new class is generated. The training data for the new class may be few-shot training data. The training also uses synthetic training data that represents each of the plurality of other classes. The synthetic training data may be generated through a model inversion of the original classifier. The synthetic training data and the natural-language training data are used to retrain the NLP classifier to identify text in the plurality of other classes and the new class using.

Abstract: Techniques of self-checkout alerts based on packaging detection. A given bag type of a bag selected at a self-checkout kiosk is identified out of a bag types available from a bag dispenser associated with the self-checkout kiosk, the bag being an empty bag. A weight range of the empty bag is identified based on the given bag type. An allowed weight range of a combination of the empty bag and a desired item is determined based on the weight range of the empty bag, a weight of the desired item as measured by a terminal scale, and at least one of a measurement tolerance of the terminal scale and a measurement tolerance of a platform scale. A loss prevention alert is generated, and a transaction at the self-checkout kiosk is paused, upon determining that the allowed weight range is exceeded.

Abstract: Techniques for self-checkout alert reduction based on packaging detection. A deflection in a first bag reservoir associated with a self-checkout kiosk is determined. The first bag reservoir is positioned adjacent to a packing area and includes a first type of bags. The self-checkout kiosk includes a terminal scale and further includes a platform scale in the packing area. That an empty bag is retrieved from the first bag reservoir is determined based on the deflection in the first bag reservoir. A bag type and a weight range are identified for the empty bag. An allowed weight range of a combination of the empty bag and a desired item is then determined. Presence of the empty bag on the platform scale is prevented from causing a loss prevention alert to be generated when the desired item has been placed in the empty bag on the platform scale.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a dynamic user interface and machine learning tools to generate data-driven digital content and multivariate testing recommendations for distributing digital content across computer networks. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to generate digital recommendations at multiple development stages of digital communications that are targeted on particular performance metrics. For example, the disclosed systems utilize historical information and recipient profile data to generate recommendations for digital communication templates, fragment variants of content fragments, and content variants of digital content items.

Abstract: The present disclosure provides improved packaging detection at self-checkout kiosks by identifying a given bag type for a bag selected at a self-checkout kiosk out of a plurality of bag types available from a bag dispenser associated with the self-checkout kiosk; identifying a weight range for the given bag type; in response to determining that the bag has been moved to a packing area of the self-checkout kiosk, comparing a first weight in the packing area from before the bag was moved to the packing area with a second weight in the packing area that includes the bag; and in response to a difference between the first weight and the second weight falling outside of the weight range, generating a loss prevention alert and pausing a transaction at the self-checkout kiosk.

Abstract: A method for dynamic intelligent testing of a target, to be tested according to projects, includes calling up a data distribution model of a project in response to a target being tested by the project, and obtaining a test range corresponding to the project based on the data distribution model. The method further includes obtaining a test value when the target is at a minimum power consumption value by testing the target based on the test range, and updating the data distribution model and the test range of the project based on the test value.

Abstract: A method for testing terminals includes determining a quantity of terminals to be tested; testing each terminal to be tested in a testing environment and obtaining a quantity of testing results; each testing result includes an actual transmitting power and/or a receiving signal strength; obtaining a first fitting function based on the actual transmitting power, and/or obtaining a second fitting function based on the receiving signal strength; and controlling a target terminal to transmit signals, calculating an actual transmitting power of the target terminal by the first fitting function, and/or controlling the target terminal to receive signals, calculating a receiving signal strength of the target terminal by the second fitting function. A computer apparatus and a non-transitory computer readable medium for testing terminals are also disclosed.