Abstract: The present disclosure provides anti-LILRB4 antibodies or antigen-binding fragments thereof, anti-LILRB4 chimeric antigen receptor protein, isolated polynucleotides encoding the same, pharmaceutical compositions comprising the same, and the uses thereof.

Abstract: The present invention provides devices, systems, and methods, for performing biological and chemical assays.

Abstract: Systems and methods for providing summarization, indexing, and post-processing of a recorded document presentation are provided. The system accesses a structured document and recordings associated with a recorded presentation given using the structured document. The system analyzes, using machine-trained models, the structured document, audio and video recordings, and recording of operations performed during the presentation. The analyzing comprises generating a transcript of the audio recording, determining context of components of the structured document, and deriving context from the video recordings and recording of operations. Based on the analyzing, the system segments the recorded presentation into a plurality of segments and generates an index of the plurality of segments that is used for post-processing.

Abstract: A system and method and for retrieving assets from a personalized asset library includes receiving a search query for searching for assets in one or more asset libraries, the one or more asset libraries including a personalized asset library; encoding the search query into embedding representations via a trained query representation machine-learning (ML) model; comparing, via a matching unit, the query embedding representations to a plurality of asset representations, each of the plurality of asset representations being a representation of one of the plurality of candidate assets; identifying, based on the comparison, at least one of the plurality of the candidate assets as a search result for the search query; and providing the identified plurality of candidate assets for display as the search result. The plurality of asset representations for the one or more assets in the personalized content library are generated automatically without human labeling.

Abstract: A vehicle and an insulation monitoring circuit for vehicle battery, the insulation monitoring circuit acquiring power from the vehicle battery and comprising a voltage-to-frequency conversion circuit (11), an RC series circuit (12), a first peak sampling circuit (13), and an alarm trigger module (14); the voltage-to-frequency conversion circuit (11) outputs a low-frequency pulse signal and injects same via the RC series circuit (12) into a high-voltage system connected to the vehicle battery; the first peak sampling circuit (13) performs sampling on a voltage signal of a resistor rear end in the RC series circuit (12) and feeds back same to the voltage-to-frequency conversion circuit (11), such that the outputted low-frequency pulse signal is adapted to the vehicle battery; and the alarm trigger module (14) performs processing on the voltage signal of the resistor rear end in the RC series circuit (12) and outputs an alarm trigger signal.

Abstract: A system and method and for retrieving one or more one or more multimodal assets includes receiving a search query for searching for one or more multimodal assets from among a plurality of candidate multimodal assets, encoding the search query into one or more query embedding representations via a trained query representation machine-learning (ML) model, comparing, via a matching unit, the one or more query embedding representations to a plurality of multimodal tensor representations, each of the plurality of multimodal tensor representations being a representation of one of the plurality of candidate multimodal assets, and identifying, based on the comparison, at least one of the plurality of the candidate multimodal assets as a search result for the search query, and providing the at least one of the plurality of the candidate multimodal assets for display as the search result.

Abstract: Among other things, the present disclosure is related to devices and methods of performing biological and chemical assays, such as but not limited to immunoassays and nucleic assay acid, particularly a homogeneous assay that does not use a wash step and that is fast (e.g., 60 seconds from dropping a sample to displaying results). The present disclosure is related to both competitive and non-competitive homogeneous assays.

Abstract: A method and system for transforming an input image via a plurality of image transformation stylizers includes receiving the input image; providing the input image, information about the plurality of image transformation stylizers and at least one of user data, history data, and contextual data to a trained machine-learning (ML) model for selecting a subset of the plurality of image transformation stylizers; receiving as an output from the ML model the subset of image transformation stylizers; executing the subset of the image transformation stylizers on the input image to generate a plurality of transformed output images; ranking the plurality of transformed output images based on at least one of the input image, the user data, the history data, and the contextual data; and providing the ranked plurality of transformed output images for display.

Abstract: Provided are an uncovering assembly of a household appliance, and a household appliance. A positioning portion cooperates with a positioning structure on a shell of the household appliance in the uncovering assembly, a cover is prevented from being loosened relative to the shell, in this way visual fool proofing may be achieved. A lock catch switches from an unfastening position to a fastening position after the positioning portion cooperates with the positioning structure. The lock catch, after entering the fastening position, is in mutual restriction with a fastening structure in a vertical direction.

Abstract: A data processing system implements obtaining textual content in a first language from a first client device and segmenting the textual content into a plurality of first tokens. The system also implements translating the first tokens from the first language to a second language using a bilingual dictionary, extracting features information from the second tokens to create a features vector, providing the feature vector to a first natural language processing model trained to analyze textual input in the second language and to output contextual information indicating one or more topics or subject matter of the first textual content, and providing the contextual information to a first machine learning model configured to analyze the contextual information and to identify one or more content items predicted to be relevant to the contextual information. The system further implements providing the information identifying the one or more content items to the first client device.

Abstract: A method, a device, and a system for transmitting a multicast packet are provided. The method includes: when a device that is in a source subnet and that is connected to a core network receives a multicast packet of a target multicast group, determining addresses of devices that are in a plurality of destination subnets corresponding to the target multicast group and that are connected to the core network, replicating the multicast packet, to obtain a plurality of multicast packets whose quantity is equal to a quantity of the plurality of destination subnets, separately adding outer encapsulation to each multicast packet, and forwarding the multicast packet to which the outer encapsulation is added, where a destination address in the outer encapsulation is an address of a device that is in each destination subnet and that is connected to the core network.

Abstract: A method and system for training a text-to-content recommendation ML model includes training a first ML model using a first training data set, utilizing the trained first ML model to infer information about the data contained in the first training data set, collecting the inferred information to generate a second training data set, and utilizing the first training data set and the second training data set to train a second ML model. The second ML model may be a text-to-content recommendation ML model.

Abstract: Shortwave infrared (SWIR) hyperspectral imaging (HSI) systems comprise a supercontinuum laser source configured to illuminate objects and a receiver comprising a spectrometer configured to receive light reflected from the objects. In some cases, hyperspectral images can be created by raster scanning of the source/receiver across a scene. The supercontinuum laser source provides active illumination to allow collection of hyperspectral imagery during day (including overcast conditions) and night.

Abstract: Disclosed are devices and methods for performing biological and chemical assays, such as immunoassays and nucleic acid assays, more particularly a homogeneous assay that does not use a wash step by using the aggregation and de-aggregation processes of microparticles or nanoparticles.

Abstract: A radial-leaded over-current protection device comprises a PTC element, a first electrode lead, a second electrode lead and an electrically insulating encapsulation layer. The PTC element comprises a first conductive layer, a second conductive layer and a PTC material layer laminated therebetween. The PTC material layer comprises crystalline polymer and conductive filler dispersed therein. The first electrode lead has an end connecting to the first conductive layer, whereas the second electrode lead has an end connecting to the second conductive layer. The electrically insulating encapsulation layer includes a fluorine-containing polymer, and wraps around an entire outer surface of the PTC element and the ends of the first and second electrodes connecting to the PTC element. The electrically insulating encapsulation layer has a thickness of 102˜105 nm, and the radial-leaded over-current protection device has an initial resistance Rbf of 0.0017˜0.0027?.

Abstract: An anomaly detection method and system for a process instrument, and a storage medium are disclosed. The method includes that: a programmable logic controller (PLC) receives measurement data of a process instrument, the measurement data being periodically stored into a historical database so that a service providing system can perform reading and evaluation. At least one virtual function module is integrated on the PLC, a mapping relation is formed between at least one input channel of each virtual function module and output of at least one anomaly diagnosis algorithm disposed on the service providing system, and each anomaly diagnosis algorithm is used for diagnosing whether an anomaly exists in the process instrument. When an anomaly indication outputted by the service providing system is received via an input channel of the virtual function module, the PLC determines that an anomaly exists in the corresponding process instrument.

Abstract: A bidirectional isolated communication circuit and method for a differential signal. The circuit comprises a first detection circuit used for receiving a first differential pair from a first direction, converting the first differential pair into a first level signal, and inhibiting common-mode interference; a second detection circuit used for receiving a second differential pair from a second direction, converting the second differential pair into a second level signal, and inhibiting common-mode interference; an isolation adjustment circuit used for being provided between the first detection circuit and the second detection circuit and performing communication isolation; and a watchdog circuit used for being awoken according to the first differential pair and/or the second differential pair, and enabling the bidirectional isolated communication circuit to enter from a small current working mode to a normal working mode to perform communication isolation.

Abstract: A system and method and for retrieving one or more visual assets includes receiving a search query for the one or more visual assets, the search query including textual data, encoding the textual data into one or more text embedding representations via a trained text representation machine-learning (ML) model, transmitting the one or more text embedding representations to a matching and selection unit, providing visual embedding representations of one or more visual assets to the matching and selection unit, comparing, by the matching and selection unit, the one or more text embedding representations to the visual embedding representations to identify one or more visual asset search results, and providing the one or more visual asset search results for display.

Abstract: The invention provides a light-emitting composite film layer, a backlight module, and a display device. The light-emitting composite film layer includes a quantum dot film layer and a diffusion film layer. The diffusion film layer is disposed on at least one surface of the quantum dot film layer. Quantum dots and light diffusion particles are dispersed in the quantum dot film layer. The quantum dots include green light and red light quantum dots, and light diffusion particles are dispersed in the diffusion film layer. The invention makes blue light divergent, makes the blue light reach same brightness viewing angles as red light and green light, and reduces or even eliminates color cast.

Abstract: For generating visual enhancement suggestions for source content, a system performs storing, in a data storage, a plurality of context data sets, each context data set including a set of visual enhancements and a context for selecting the set of visual enhancements; receiving the source content including source content data and source attribute data; providing, to an artificial intelligence (AI) engine, the received source content, the AI engine configured to select, based on the source content and the context data sets, a first set of visual enhancements and apply the selected first set of visual enhancements to the source content to generate a first visual enhancement suggestion for the source content; extracting, from the AI engine, the first visual enhancement suggestion; and causing the first visual enhancement suggestion to be displayed via a display of a user device.