Abstract: The present disclosure provides an apparatus and a method for hydrate-based wastewater treatment and cold storage. The apparatus for hydrate-based wastewater treatment and cold storage includes a water chilling unit, a hydrate-based cold storage tank, an airflow disturbance device, a water layer positioning system, a spraying system, a suction filtration system, a heat exchange system, and a system monitoring device. The water chilling unit provides a secondary refrigerant at a low temperature. The secondary refrigerant flows through an evaporator coil in the hydrate-based cold storage tank for heat exchange. The airflow disturbance device induces hydrate nucleation. The water layer positioning system positions a contact surface between a water layer and a hydrate former after hydrate decomposition to facilitate drawing and separation of the treated upper water layer. The spraying system and the suction filtration system enhance the solid-liquid separation efficiency to improve the removal rate of pollutants.

Abstract: Embodiments of the present disclosure relate to methods and apparatuses for a sidelink positioning mechanism in 3GPP (3rd Generation Partnership Project) 5G and/or new radio (NR) networks. According to an embodiment of the present disclosure, a method performed by a user equipment (UE) includes: receiving at least one of positioning reference signal (PRS) configuration information and downlink control information (DCI); generating sidelink control information (SCI) based on the at least one of the PRS configuration information and the DCI, wherein the SCI indicates a resource in time and frequency domains for a sidelink-positioning reference signal (SL-PRS); and transmitting the SCI.

Abstract: A request information sending method includes sending, by a first UE, configuration request information to a network side device, where the configuration request information is used to indicate a configuration resource expected by the first UE.

Abstract: Generally discussed herein are devices, systems, and methods for generating an embedding that is both local string dependent and global string dependent. The generated embedding can improve machine learning (ML) model performance. A method can include converting a string of words to a series of tokens, generating a local string-dependent embedding of each token of the series of tokens, generating a global string-dependent embedding of each token of the series of tokens, combining the local string dependent embedding the global string dependent embedding to generate an n-gram induced embedding of each token of the series of tokens, obtaining a masked language model (MLM) previously trained to generate a masked word prediction, and executing the MLM based on the n-gram induced embedding of each token to generate the masked word prediction.

Abstract: The present disclosure provides a device for separating sub-micron particles in the air, comprising a first separation channel, a second separation channel and a collection device which are connected in sequence, wherein each of the first separation channel and the second separation channel is of a rectangle structure with two open ends, the height H1 of the first separation channel is greater than the height H2 of the second separation channel, and each separation channel is provided with a vibration sound source and an antimicrobial coating layer. Based on the agglomeration theory of suspended particles in the air by ultrasonic standing waves, the device can aggregate sub-micron suspended particles flowing into each channel of the device on the upper and lower wall surfaces and the centerline of the channel, and sterilize the aggregated particles, thereby effectively removing the sub-micron suspended particles in the air.

Abstract: A method for configuring and obtaining secondary cell group information, and a communications device are provided. The method includes: obtaining conditional configuration information of a secondary cell group, where the conditional configuration information of the secondary cell group includes configuration information used for a terminal to add or change a primary secondary cell; and performing a first operation based on the conditional configuration information of the secondary cell group, where the first operation includes an operation of adding the primary secondary cell, or the first operation includes the operation of adding the primary secondary cell and an operation of changing the primary secondary cell.

Abstract: The present disclosure relates to a user equipment, a network side device, a wireless communication method and a storage medium. The user equipment of the present disclosure comprises a processing circuit, the processing circuit being configured to: generate channel occupancy time (COT) sharing indication information, wherein the COT sharing indication information comprises time frequency resources used by other user equipments when the user equipment shares a COT with the other user equipments; and send the COT sharing indication information to the other user equipments. By using the user equipment, the network side device, the wireless communication method and the storage medium of the present disclosure, COT sharing can be supported in a D2D communication mode, thereby enabling a channel to be utilized more reasonably, and simplifying a usage process of an unauthorized frequency band in D2D communication.

Abstract: A human-computer interaction method and apparatus. Said method may include: receiving information of at least one modality of a user (201); identifying, on the basis of the information of the at least one modality, intention information of the user and user emotional features corresponding to the intention information (202); determining, on the basis of the intention information, reply information to the user (203); selecting, on the basis of the user emotional features, character emotional features to be fed back to the user (204); and generating, on the basis of the character emotional features and the reply information, a broadcast video of an animated character corresponding to the character emotional features (205).

Abstract: Disclosed is a charging station capable of realizing mutual capacity aid, which comprises a plurality of charging units, a power bus and a mutual capacity aid bus. Each charging unit is powered by the power bus, and each charging unit provides mutual aid capacity for another charging unit through the mutual capacity aid bus or receives mutual aid capacity from other charging units through the mutual capacity aid bus. The charging station can realize rapid charging of electric vehicles, and can also realize mutual capacity aid.

Abstract: The present disclosure provides a speaker box, including a rear housing with a cavity, an elastic fixing member fixed to the rear housing, and a sound-producing unit supported on the elastic fixing member, an orthographic projection of the sound-producing unit being located in the cavity. The sound-producing unit includes a frame, a vibration system, a magnetic circuit unit, and a front cover defining a front cavity with the vibration system. The magnetic circuit unit includes a yoke, a main magnet, and an auxiliary magnet. The front cover includes a support portion, a cover plate, and a coating portion. The coating portion extends to a periphery of the yoke and completely wraps the auxiliary magnet jointly with the yoke. The elastic fixing member, the yoke, and the coating portion jointly seal the cavity to form a rear cavity.

Abstract: An electrospray emitter assembly for interfacing a separation column to a mass spectrometer is disclosed. An emitter capillary includes an inlet end and an outlet end. A fitting is coupled to the inlet end of the emitter, configured to be removably connected to the separation column. A stop with a defined through hole is integrated proximate the inlet end of the emitter to produce a path for liquid to flow from the separation column to the emitter via the through hole where a voltage is applied to the liquid entering the emitter.

Abstract: This document relates to training of machine learning models. One example method involves providing a machine learning model having one or more mapping layers. The one or more mapping layers can include at least a first mapping layer configured to map components of pretraining examples into first representations in a space. The example method also includes performing a pretraining stage on the one or more mapping layers using the pretraining examples. The pretraining stage can include adding noise to the first representations of the components of the pretraining examples to obtain noise-adjusted first representations. The pretraining stage can also include performing a self-supervised learning process to pretrain the one or more mapping layers using at least the first representations of the training data items and the noise-adjusted first representations of the training data items.

Abstract: In one embodiment, method for determining capability boundary of a safety redundancy of an autonomous driving vehicle (ADV) includes obtaining a sensor layout associated with the ADV representing a system having a plurality of sensors mounted on a plurality of locations of the ADV. A zone failure risk of one or more sensors within the predetermined zones is estimated based on statistical operational data of the one or more sensors for each of the plurality of predetermined zones. An overall failure risk of the sensors is determined based on the zone failure risks of the predetermined zones based on relative locations of the sensors across the predetermined zones. A dynamic risk adjustment is determined based on the overall failure risk of the sensors, the dynamic risk adjustment representing a reliability of a sensor system associated with the ADV for estimating a safety of autonomous driving of the ADV.

Abstract: Generally discussed herein are devices, systems, and methods for generating an embedding that is both local string dependent and global string dependent. The generated embedding can improve machine learning (ML) model performance. A method can include converting a string of words to a series of tokens, generating a local string-dependent embedding of each token of the series of tokens, generating a global string-dependent embedding of each token of the series of tokens, combining the local string dependent embedding the global string dependent embedding to generate an n-gram induced embedding of each token of the series of tokens, obtaining a masked language model (MLM) previously trained to generate a masked word prediction, and executing the MLM based on the n-based induced embedding of each token to generate the masked word prediction.

Abstract: A chromatographic material including a substrate having a surface and having a polymeric layer covalently bound to the surface; the polymeric layer comprising polymer molecules covalently attached to the surface of the substrate, each polymer molecule being attached to the surface via multiple siloxane bonds and each polymer molecule being connected to one or more functionalizing compounds that each comprise a functional group, wherein the polymeric layer is formed by covalently attaching polymer molecules to the surface of the substrate via multiple siloxane bonds, each polymer molecule containing multiple first reactive groups, and reacting the first reactive groups of the attached polymer molecules with at least one functionalizing compound that comprises a second reactive group that is reactive with the first reactive groups and that further comprises a functional group. Preferred conditions of reacting the polymer with the substrate include elevated temperature and reduced pressure.

Abstract: In some aspects, the disclosure is directed to methods and systems for one or more line-drivers configured to selectively operate between a plurality of modes. When operating as a voltage-mode line-driver increased power efficiency may be realized. When operating as a current-mode line-driver, an increased transmission power may be realized. When operating in a dual/additive mode, still further increased transmission power may be realized.

Abstract: This document relates to training of machine learning models. One example method involves providing a machine learning model having one or more mapping layers. The one or more mapping layers can include at least a first mapping layer configured to map components of pretraining examples into first representations in a space. The example method also includes performing a pretraining stage on the one or more mapping layers using the pretraining examples. The pretraining stage can include adding noise to the first representations of the components of the pretraining examples to obtain noise-adjusted first representations. The pretraining stage can also include performing a self-supervised learning process to pretrain the one or more mapping layers using at least the first representations of the training data items and the noise-adjusted first representations of the training data items.

Abstract: The present invention discloses an electrocatalytic Fenton oxidation-electrochemical oxidation coupling process and apparatus for efficient treatment of chemical wastewater, and belongs to the field of sewage treatment. The process includes an electrocatalytic Fenton oxidation step, an electrochemical oxidation step, and a pH adjustment step. A spacing between a cathode and an anode in the electrocatalytic Fenton oxidation step is controlled, so that oxygen produced at the anode reacts at the cathode to produce H2O2. The treatment requirements can be met without external aeration or external addition of H2O2, and meanwhile, the efficiency of COD removal by electro-Fenton oxidation is effectively improved. Further, by connecting a pH adjusting tank with the electrocatalytic Fenton oxidation-electrochemical oxidation coupling apparatus in series, a coupling treatment process with near-zero production of iron sludge is realized.