Abstract: Provided are methods, apparatus, systems, and computer-readable media for processing biosensor information to produce multi-dimensional images of facial movement, produce multi-dimensional images of expressions of a human user, perform biosensor-based user identification, perform biosensor-based user authentication, and combinations thereof. Other methods, apparatus, systems, and computer-readable media are also disclosed.

Abstract: A data processing method includes obtaining target object data including an object identifier, and encryption instructions for the target object data; de-identifying the object identifier by using the encryption instructions, to obtain a fake identifier corresponding to the object identifier; encrypting a data content of the target object data based on the encryption instructions, to generate an encrypted content of the data content; and transmitting, to a data receiver, encrypted data of the target object data generated based on the encrypted content and the fake identifier, so that the data receiver decrypts the encrypted data based on a data usage scenario of the target object data and obtains corresponding decrypted data.

Abstract: The present disclosure provides a chitosan-Fe coating-based synbiotic microcapsule with gastric acid resistance and intestinal targeted release and a preparation method thereof. The preparation method includes the following steps: preparation of mixed probiotics, preparation of a chitosan-Fe coating, preparation of a microcapsule, and freeze-drying. In the present disclosure, live probiotics wrapped in the microcapsule can avoid a weak acid resistance and a poor long-term storage stability of the probiotics; chitosan-Fe added to a wall material can significantly improve an embedding rate of the microcapsule, and can also achieve targeted release of the probiotics in the intestinal tract.

Abstract: In an example embodiment, a generator model such as a large language model (LLM) is leveraged to generate embeddings for both pieces of content and users. The embeddings map the pieces of content and the users into the same latent n-dimensional space. The embeddings are then fine-tuned using a two-tower deep neural network, with one of the towers representing users and the other tower representing content. The two-tower deep neural network is trained to optimize the embeddings over some shared goal, such as user engagement with content, and uses information such as user interactions with content in that process. A clustering technique, such as K-nearest neighbor (kNN) can then be used to identify a grouping of top user/content pairs based on similarity between users and content, as reflected in the embeddings. For a given piece of content, therefore, the top users from that cluster can then be recommended as an audience for the content.

Abstract: The present application discloses a rechargeable lithium battery without a charging port and a manufacturing method thereof. The lithium battery includes a first negative electrode metal casing, a voltage regulation circuit board, a low-voltage positive electrode cap, a high-voltage positive electrode connector, a lithium battery cell, a low-voltage positive/negative electrode insulating spacer, and an insulating housing, wherein an upper end of the first negative electrode metal casing is inwardly provided with a first flange; an upper surface of the voltage regulation circuit board is provided with a negative electrode copper ring and a positive electrode copper ring; the voltage regulation circuit board is welded to an inner side of the first flange of the first negative electrode metal casing through the negative electrode copper ring; and the high-voltage positive electrode connector is arranged on an inner surface of the voltage regulation circuit board.

Abstract: Disclosed in the present disclosure is a low-voltage busbar monitoring system. In the system, a plurality of wireless temperature sensors are mounted on surfaces of heat generating locations (also referred to as heat generating points, or simply heat points) of a busbar duct to periodically measure temperature data of each heat generating point in a self-powered mode and wirelessly transmit the temperature data of each heat generating point; one end of a heat-conducting base is connected to the heat generating points of the busbar duct, and the other end of the heat-conducting base is connected to a hot end of a thermal power-generating chip to conduct the temperature of the heat points to the hot end of the thermal power-generating chip by using heat conduction; a temperature sensing element is thermally conductively connected to the heat-conducting base to measure temperature data of the heat points.

Abstract: Provided herein are antibodies (e.g., humanized antibodies) binding to CD40 and bi-specific antibodies comprising such for targeting both CD40 and a second suitable antigen such as a tumor antigen or an immune checkpoint molecule. Examples of the second antigen include PD-1, PD-L1, HER2, B7H3, B7H4, netrotic tumor cells (TNT), or CEA. Also provided herein are therapeutic uses of such antibodies.

Abstract: A pixel driving circuit, a driving method of the pixel driving circuit, and a display panel are disclosed. The pixel driving circuit includes a first transistor having a first electrode electrically connected to a first voltage terminal, having a second electrode electrically connected to an anode of a light-emitting device and electrically connected to a second voltage terminal via the light-emitting device; a second transistor having a source and a drain electrically connected between a data line and the second electrode of the first transistor; and a third transistor having a source and a drain electrically connected between a gate of the first transistor and the first electrode of the first transistor.

Abstract: A generator circuit breaker includes a main current branch, a current-limiting transfer branch, a freewheeling branch and a fast switch. The main current branch includes a high-speed mechanical switch S1 and a high-speed mechanical switch S2 in parallel, wherein two ends of each of breaks of the high-speed mechanical switch S1 and the high-speed mechanical switch S2 are directly connected with wire outlet ends of the circuit breaker respectively. One end of the current-limiting transfer branch is connected in parallel to one end of the main current branch and the other end of the current-limiting transfer branch is connected with the other end of the main current branch via a fast switch S3, wherein the current-limiting transfer branch includes a transfer capacitor C, an inductor L, thyristor components T1 and T2, and a current-limiting resistor R.

Abstract: A laser system may include one or more pump lasers configured to provide pump light. The laser system may include an amplifier having one or more gain media cooled below 20° C. using a liquid coolant and configured to amplify seed light having a wavelength at or greater than 2 micrometers. The laser system may include an enclosure with an atmospheric regulator to enclose at least an optical path of at least the gain media and maintain an atmosphere of dry gas.

Abstract: An acoustic respiratory monitoring system (105) detects, monitors, and/or tracks acoustic features of respiratory conditions for a human patient. Acoustic respiratory data is derived from breathing sound captured by a sensor array (410) comprising a plurality of acoustic sensor elements (412). A plurality of logical channels is determined based on the acoustic respiratory data. An adventitious feature is detected in the breathing sound using the plurality of logical channels, and an indication of an abnormal respiratory sound is provided via a user interface (800), in response to detecting the adventitious feature. The sensor array (410) may be integrated with a wearable article (560), such as a shirt, vest, or belt, for example.

Abstract: The invention relates to a novel crystalline form of pritelivir, as well as to pharmaceutical compositions comprising the same, and to methods for its production and use of the crystalline form in a medicament and for the treatment of herpes virus.

Abstract: Artificial intelligence (AI) techniques for connection networking are described. A method comprises receiving an input vector by a multi-tower machine learning (ML) model for a content delivery system of a connection network system, generating a set of user embeddings from a first vector of the input vector by a first tower of the multi-tower ML model based on the activity data associated with users of the connection network system, generating a set of campaign embeddings from a second vector of the input vector by a second tower of the multi-tower ML model based on the textual description of the content delivery campaign, generate a metric based on a subset of the user embeddings and a subset of the campaign embeddings, selecting audience user identifiers based on the metric, and sending content items for the content delivery campaign to electronic devices of the audience user identifiers.

Abstract: In an example embodiment, a generator model such as a large language model (LLM) is leveraged to generate embeddings for both pieces of content and users. The embeddings map the pieces of content and the users into the same latent n-dimensional space. The embeddings are then fine-tuned using a two-tower deep neural network, with one of the towers representing users and the other tower representing content. The two-tower deep neural network is trained to optimize the embeddings over some shared goal, such as user engagement with content, and uses information such as user interactions with content in that process. A clustering technique, such as K-nearest neighbor (kNN) can then be used to identify a grouping of top user/content pairs based on similarity between users and content, as reflected in the embeddings. For a given piece of content, therefore, the top users from that cluster can then be recommended as an audience for the content.

Abstract: Embodiments of the disclosed technologies receive a first-party trained model and a first-party data set from a first-party system into a protected environment, receive a first third-party data set into the protected environment, and, in a data clean room, joining the first-party data set and the first third-party data set to create a joint data set for the particular segment, tuning a first-party trained model with the joint data set to create a third-party tuned model, sending model parameter data learned in the data clean room as a result of the tuning to an aggregator node, receiving a globally tuned version of the first-party trained model from the aggregator node, applying the globally tuned version of the first-party trained model to a second third-party data set to produce a scored third-party data set, and providing the scored third-party data set to a content distribution service of the first-party system.

Abstract: The invention relates to a novel crystalline form of pritelivir, as well as to pharmaceutical compositions comprising the same, and to methods for its production and use of the crystalline form in a medicament and for the treatment of herpes virus.

Abstract: This application relates to the technical field of medical equipment and health monitoring systems, and provides an artificial intelligence (AI)-based atrial fibrillation warning system using a dynamic electrocardiogram. The system includes: a data acquisition module, a data processing module, an AI analysis module, an alarm mechanism module, and a clinical application module. The data acquisition module is configured to perform continuous electrocardiogram monitoring using a portable dynamic electrocardiogram recorder; the data processing module is configured to preprocess electrocardiogram data; the AI analysis module is configured to train and analyze the preprocessed electrocardiogram data using a deep learning model; the alarm mechanism module is configured to issue an alarm when multiple predictions indicate a risk of atrial fibrillation; and the clinical application module is configured to provide real-time warning assessments that are combined with traditional clinical evaluations.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content item group comprising members that have interest in a content item. In particular, the disclosed systems can generate a member embedding by leveraging member activity feature data and member information feature data. The disclosed systems can further generate a content item embedding reflecting content item feature data. The disclosed systems may generate a similarity score between the member embedding and the content item embedding. Based on the similarity score meeting a threshold similarity score, the disclosed system can determine to include a member within a target content item group.

Abstract: The present disclosure discloses a heat dissipation structure for a high-capacity circuit breaker, which includes: a circuit breaker body, inner heat dissipating fins, outer heat dissipating fins, and chimney cover plates; wherein the inner heat dissipating fins are disposed on an inner side of a base plate on an upper surface of a housing of the circuit breaker body, the outer heat dissipating fins are disposed on an outer side of the base plate on the upper surface of the housing of the circuit breaker body, and the outer heat dissipating fins are topped with the chimney cover plates. The inner and outer heat dissipating fins are arranged parallel to each other, are equidistantly distributed, and are perpendicular to the base plate. The chimney cover plates are made of epoxy resin and abut the top of the outer heat dissipating fins and are in parallel with the base plate.

Abstract: A method for purification of high-purity or ultrahigh-purity gas by low temperature adsorption, has the following steps: adsorbing and removing impurity in feed gas at low temperature, obtaining high-purity or ultrahigh-purity product gas with a purity higher than 99.99%, vacuumizing an adsorber by using a vacuum pump during regeneration, and introducing a small amount of gas with low impurity content into the adsorber to regenerate the adsorbent while vacuumizing. The temperature of the adsorber is not obviously increased during regeneration. In this method, the adsorber does not need to be deliberately heated in the regeneration process, the consumption of a large amount of energy and materials caused by frequent heating and cooling of the adsorber is avoided.