Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: Certain aspects of the present disclosure provide techniques for channel state information (CSI) for multiple transmission reception point (multi-TRP) transmission such as non-coherent joint transmission (NCJT), including determining subband sizes for CSI and rules for Part II CSI omission. A method that can be performed by a user equipment (UE) includes receiving a CSI report configuration. The CSI report configuration associated with one or more CSI reference signal (RS) resources, each CSI resource including a set of ports or port groups. The UE selects one or more CSI-RS resources for which to report CSI and determines a subband size for sending a CSI report based, at least in part, on payload of the CSI report. In an example method, the UE can determine whether the UE has sufficient resources for the CSI report and omit at least a portion of the CSI based on the determination.

Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: A method for determining a correction relating to a performance metric of a semiconductor manufacturing process, the method including: obtaining a set of pre-process metrology data; processing the set of pre-process metrology data by decomposing the pre-process metrology data into one or more components which: a) correlate to the performance metric; or b) are at least partially correctable by a control process which is part of the semiconductor manufacturing process; and applying a trained model to the processed set of pre-process metrology data to determine the correction for the semiconductor manufacturing process.

Abstract: Methods and apparatus of restriction on linked ePDCCH candidates for ePDCCH soft combining are disclosed. The method includes: receiving, by a receiver, a plurality of Control Resource Set (CORESET) configurations, a plurality of search space set configurations, and a Physical Downlink Control Channel (PDCCH) transmitted with a plurality of repetitions; wherein the plurality of repetitions of the PDCCH are transmitted from a plurality of transmitting-receiving identities, and one CORESET is associated with one search space set; and determining, by a processor, linked monitoring occasions and/or linked candidates for blind detection of the PDCCH with soft combining.

Abstract: The present application provides an audio and video playing system, a playing method and a playing device. The system comprises: a display device; a directional sound output module configured to output a directional sound signal; a tracking element configured to monitor a target visual area and to monitor the target display area on the display screen; and a processor, connected with the directional sound output module and the tracking element respectively, and configured to acquire a first audio and video data to be output in the target display area, display image information of the first audio and video data in the target display area, and output sound information of the first audio and video data to the directional sound output module such that the directional sound output module output a directional sound signal towards the target visual area.

Abstract: Methods and apparatuses for MAC CE based common beam indication are disclosed. In one embodiment, a method comprises receiving a higher layer parameter to enable MAC CE based common beam indication; receiving a common beam indication MAC CE; and determining a common beam according to the common beam indication MAC CE.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in a holographic multiple input multiple output (MIMO) system.

Abstract: Provided is a method for compensating a displayed picture in a display screen. The display screen includes a plurality of regions, each of the plurality of regions including a plurality of pixels; the method includes: determining transformation matrices corresponding to pixels in the plurality of regions based on texture complexities of pictures to be displayed in the plurality of regions; acquiring compensated grayscales by compensating grayscales of pixel points in the pictures to be displayed in the plurality of regions based on the transformation matrices corresponding to the pixels in the plurality of regions.

Abstract: Embodiments of the present disclosure relate to automated validation of medical data. Some embodiments of the present disclosure provide a method for medical data validation. The method comprises obtaining target medical data generated in a medical test and obtaining a machine learning model for validating medical data. The machine learning model represents an association between the medical data and validation results, the validation results indicating information about predetermined actions to be performed on the medical data. The method further comprises determining a target validation result for the target medical data by applying the target medical data to the machine learning model, the target validation result indicating information about a target action selected from the predetermined actions to be performed on the target medical data. Through the solution, it is possible to achieve automated medical data validation with high accuracy and efficiency as well as reduced manual efforts.

Abstract: Apparatuses, methods, and systems are disclosed for downlink control information having a transmission configuration indicator bitmap. One method (400) includes transmitting (402) downlink control information with a transmission configuration indicator, spatial information, or a combination thereof and a transmission configuration indicator bitmap field. Each bit in the transmission configuration indicator bitmap field indicates whether the transmission configuration indicator, the spatial information, or the combination thereof applies to a channel or resource group.

Abstract: The present disclosure provides a method for interconnecting a data lake and a relational database, including the following steps: S1: adding a data source class of a relational database to a data lake; S2: matching and using, by the data lake, a data source class of the relational database; and S3: determining and loading a corresponding driver according to the data source class, so as to connect the corresponding relational database. By cascading a data source registering configuration file, a relational database configuration file and a driver package catalog in a parameter passing method, when the data lake is started, a specific database to be used is designated unnecessarily, but a corresponding database is used directly. The configuration file is also traversed unnecessarily, but the user acquires configuration information as required in the parameter passing method.

Abstract: The present disclosure provides an image compression method, including steps of: acquiring a human-eye fixation point on an original image, and determining a fixation region and a non-fixation region of the original image according to the human-eye fixation point; and compressing the non-fixation region, and generating a compressed image according to the fixation region and the compressed non-fixation region. The present disclosure also provides an image display method, an image compression apparatus, an image display apparatus, and a computer readable medium.

Abstract: A backlight adjusting method of display device, a backlight adjusting device and a display device are provided, where the display device includes a display panel and a backlight element, the display panel is divided into a plurality of display subareas, the backlight element includes a plurality of backlight subareas, the display subareas and the backlight subareas are in a one-to-one correspondence, the method includes: for each of the backlight subareas, calculating an initial backlight value of the backlight subarea according to pixel information of the display subarea corresponding to the backlight subarea; and determining a first correction backlight value of the backlight subarea according to a preset backlight threshold and an initial backlight value of each of the other backlight subareas adjacent to the backlight subarea.

Abstract: Embodiments of the present disclosure relate to method and system for diagnostic analyzing. Some embodiments of the present disclosure provide a diagnostic analyzing system. The diagnostic analyzing system comprises one or more analyzer instruments and a monitoring system, e.g. a quality control monitoring system. The one or more analyzer instruments designed for providing an analytical testing result, which is to be validated by the monitoring system using a validation algorithm. Moreover, the monitoring system may re-train the validation algorithm when a difference level between a live data set and a first training data set is greater than a threshold. Through the solution, it is possible to improve the accuracy of the validation algorithm.

Abstract: The present invention relates to a water-based coating composition, the preparation and use of the composition, a two-component coating system comprising the composition and use thereof, and an article obtained by coating with the composition or the two-component coating system. The water-based coating composition comprises a water-based UV resin; a silane-treated nanosized silicon oxide compound; and a photoinitiator; wherein per kilogram of the solid constituent of the water-based UV resin contains not less than 3 mol of ethylenically unsaturated groups, and wherein the weight ratio of the solid constituent of the nanosized silicon oxide compound to the solid constituent of the water-based UV resin is 11:20 to 73:100. The coating layer formed by the water-based coating composition of the present invention has high hardness and good adhesion, and is particularly suitable for electronic, electrical and communication equipment in the 5G field.

Abstract: The present invention relates to an adhesive, a preparation method and application thereof, particularly the application for bonding glass fiber composites, and a bonded article obtained by using the adhesive. The adhesive comprises: a polyisocyanate having an isocyanate functionality of not less than 2; an epoxy-modified polyether polyol; a hydroxyl-containing acrylate; a redox catalyst; a silane coupling agent; optionally a polyol containing bisphenol A structure; and optionally a polymer polyol different from the epoxy-modified polyether polyol. The adhesive according to the present invention has the advantages of being insensitive to moisture, good bonding properties and a long pot life.

Abstract: A method and apparatus for evaluating volumes of discharged hydrocarbon and externally charged hydrocarbon in a mud shale. The method comprises: determining a hydrogen index and a current hydrocarbon generation potential parameter of a mud shale in target block based on total organic carbon test data and pyrolysis analysis test data of the mud shale; determining an original hydrogen index of the mud shale based on the hydrogen index and the pyrolysis analysis test data; and evaluating a volume of discharged hydrocarbon and a volume of externally charged hydrocarbon in the mud shale based on the current hydrocarbon generation potential parameter and the original hydrogen index.

Abstract: Disclosed is a continuous preparation method of cellulose fibers, in which a forming tension of 0.1 to 1.9 cN/dtex is applied to a fine solution stream obtained by extrusion through a spinneret plate and air gap cooling, then the fine solution stream is fed into a coagulating bath at a speed of 80 to 1000 m/min, a traction tension of 0.075 to 1.5 cN/dtex is continued to be applied to washed fibers in a water washing system behind the coagulating bath, and finally, the washed fibers are fed into a post-treatment system for continuous and efficient spinning of finished fibers at a speed of 80 to 1000 m/min.

Abstract: The invention relates to an aqueous two-component adhesive and use thereof, in particular to the use for laminating a rigid substrate and a plastic film, a laminated product comprising the adhesive, and a method for producing a laminated product. The aqueous two-component adhesive comprises component A and component B, the component A comprising more than 50% by weight and not more than 99% by weight of an aqueous polyurethane dispersion; the B component comprising 1% by weight to 16% by weight of water-dispersible modified polyisocyanate based on hexamethylene diisocyanate, the above weight percentage based on the amount of the adhesive being 100% by weight; wherein the aqueous polyurethane dispersion comprises polyurethane dispersed therein, the enthalpy of melting of the polyurethane being 26 to 100 J/g, preferably 30 to 100 J/g, particularly preferably 30 to 60 J/g, measured at 20° C. to 100° C. for the first heating curve by DSC according to DIN65467 (1999).