Abstract: A light-emitting panel has a light-emitting area and an isolation area adjacent to the light-emitting area The light-emitting panel comprises a base substrate and a barrier structure, wherein the barrier structure is arranged on one side of the base substrate and located in the isolation area, and comprises a first isolation pattern, a second isolation pattern, a third isolation pattern and a fourth isolation pattern, which are sequentially arranged in a stacked manner, and the first isolation pattern is closer to the base substrate than the fourth isolation pattern; and an orthographic projection of the first isolation pattern on the substrate is located in an orthographic projection of the second isolation pattern on the base substrate, and an orthographic projection of the third isolation pattern on the base substrate is located in an orthographic projection of the fourth isolation pattern on the base substrate.

Abstract: The present disclosure provides an array substrate and a manufacturing method thereof, and a display panel. The array substrate includes at least one marking member in at least one marking sub-region and at least one bonding lead in at least one bonding sub-region, and the at least one marking sub-region and/or the at least one bonding sub-region are further provided with: a first substrate; a first reflecting layer on the first substrate; and a first light absorbing layer on a side of the first reflecting layer distal to the first substrate. The at least one marking member and/or the at least one bonding lead is on a side of the first light absorbing layer distal to the first substrate.

Abstract: A processor may automatically generate one or more transcripts based on a media context. The processor may append at least one of the one or more transcripts to the media. The processor may modify the at least one of the one or more transcripts based on an adjustment to a weight factor.

Abstract: A first machine learning model is deployed in a first communication apparatus, and a second machine learning model is deployed in a second communication apparatus. First information is obtained that carries indication information of both a first transmission resource and a second transmission resource, wherein the first transmission resource is for the first communication apparatus to transmit a first output of the first machine learning model to the second communication apparatus, and wherein the second transmission resource is for the first communication apparatus to receive first feedback data that is from the second communication apparatus. The first feedback data includes a first gradient, wherein the first gradient is for updating the first machine learning model. The first communication apparatus transmits the first output to the second communication apparatus on the first transmission resource.

Abstract: The present invention belongs to the pharmaceutical field, and relates to an application of a cilostazol and d-borneol composition in preparing a drug for treating cerebrovascular disease, in particular ischemic cerebrovascular disease. The present invention specifically relates to a composition containing cilostazol or a pharmaceutically acceptable salt thereof and d-borneol, and an application of the composition in preparing a drug for treating cerebrovascular disease, in particular ischemic cerebrovascular disease.

Abstract: An apparatus, composition, and method for generating odor on demand. The apparatus includes a dispersing mechanism with a plurality of blister pockets each including a releasable aroma. A triggering mechanism is in combination with each of the plurality of blister pockets and configured to separately rupture individual blister pockets to release a corresponding releasable aroma. A controller is in actuating combination with the triggering mechanism. The controller is configured to monitor for at least one predetermined stimulus to actuate the triggering mechanism. The stimulus can include a predetermined text, sound, image, and/or location generated by the electronic device. A smart material can be used for holding and releasing the aroma or other compound. The smart material can include a porous polymer matrix, wherein the porous polymer matrix releases the material upon an actuation of the triggering mechanism.

Abstract: An array substrate and a display device are disclosed. The array substrate includes a base substrate, a plurality of first pixel driving circuit, a plurality of first data lines and a plurality of first leads; the display region includes a first region and a second region, and the plurality of first pixel driving circuits are located in the second region, the plurality of first pixel driving circuits are arranged in an array to form a plurality of first pixel driving columns, the plurality of first data lines are configured to provide data signals to the plurality of first pixel driving columns, and the plurality of first leads are respectively connected with the plurality of first data lines, pass through the first region from the second region and extend to the bonding region.

Abstract: Embodiment techniques map parity bits to sub-channels based on their row weights. In one example, an embodiment technique includes polar encoding, with an encoder of the device, information bits and at least one parity bit using the polar code to obtain encoded data, and transmitting the encoded data to another device. The polar code comprises a plurality of sub-channels. The at least one parity bit being placed in at least one of the plurality of sub-channels. The at least one sub-channel is selected from the plurality of sub-channels based on a weight parameter.

Abstract: The present invention provides an antifouling ability-imparting agent that adheres well to a variety of water treatment membranes such as reverse osmosis membranes and imparts excellent antifouling ability to the water treatment membranes.

Abstract: A blockchain sharding method combining spectral clustering and a reputation value mechanism includes: obtaining, every other account grouping cycle Ta, account transaction data recorded during operation of a blockchain to generate an account transaction graph; obtaining an adjacency similarity matrix W and a degree matrix D based on the account transaction graph; generating a Normalized Laplace matrix L based on the adjacency similarity matrix W and the degree matrix D, performing dimension reduction on L to obtain a feature matrix F, and then clustering the feature matrix F with a clustering dimension of k by row through a K-means clustering method; and dividing blockchain accounts into k groups based on an obtained clustering result, and allocating accounts in the k groups to k blockchain shards.

Abstract: The present disclosure provides a method for sweat volume detection based on sweat print imaging, comprising: obtaining a raw data set, the raw data set including at least one sweat print image formed by dropping different volumes of sweat on a test paper under different environmental parameters; obtaining a color value extreme of the sweat print image and dividing the sweat print image into at least one region; calculating a sweat error based on a total sweat collection volume and a real sweat volume; obtaining a trained error prediction model; obtaining a to-be-tested sweat print image and current environmental parameters; inputting the current environmental parameters and a count of regions of the to-be tested sweat print image into the trained error prediction model to determine a sweat error of the to-be-tested sweat print image; calculating a sweat volume and a sweat rate based on the sweat error.

Abstract: A semiconductor device includes a substrate having a logic region and a magnetoresistive random access memory (MRAM) region, a MTJ on the MRAM region, a metal interconnection on the MTJ, and a blocking layer on the metal interconnection. Preferably, the blocking layer includes a stripe pattern according to a top view and the blocking layer could include metal or a dielectric layer.

Abstract: A system may include a first acoustic event detection (AED) component configured to detect a predetermined set of acoustic events, and include a second AED component configured to detect custom acoustic events that a user configures a device to detect. The first and second AED components are configured to perform task-specific processing, and may receive as input the same acoustic feature data corresponding to audio data that potentially represents occurrence of one or more events. Based on processing by the first and second AED components, a device may output data indicating that one or more acoustic events occurred, where the acoustic events may be a predetermined acoustic event and/or a custom acoustic event.

Abstract: An aluminum borate whisker reinforced and toughened non-metallic matrix composite is provided, which specifically includes a non-metallic material reinforced and toughened with aluminum borate whiskers. The composite exhibits a higher bending strength and fracture toughness and a higher wear resistance. A method for preparing the composite is also provided. The method includes mixing the aluminum borate whiskers and the non-metallic material to form a mixture; and sintering the mixture by a vacuum hot press method, or molding the mixture.

Abstract: A power tool includes a housing, a motor, a ball sleeve, an oscillating member with a mounting portion, and an output shaft rotating around an output shaft axis. The oscillating member and the ball sleeve are engaged in an engagement region on the oscillating member, and the geometric center of the engagement region is an engagement center. A first plane bisects the first bearing assembly along a direction of the output shaft axis, and a second plane bisects the second bearing assembly along the direction of the output shaft axis. The height from the engagement center to the first plane is a first height H1, the height from the engagement center to the second plane is a second height H2, and the ratio H1/H2 of the first height H1 to the second height H2 is greater than or equal to 0.5 and less than or equal to 1.4.

Abstract: A storage device and a data accessing method are disclosed, wherein the storage device includes a memory circuit and a control circuit. The memory circuit includes a plurality of multi-level cells, and each of the multi-level cells is configured to store at least a first bit, a second bit and a third bit in at least a first page, a second page and a third page. The control circuit is configured to read the first bits according to a one-time reading operation related to the first bits, read the second bits according to M-times reading operations related to the second bits, and read the third bits according to N-times reading operations related to the third bits, wherein the difference between M and N is less than or equal to one.

Abstract: In a cell handover method and apparatus, first network device of a first cell obtains user information of a terminal device, and then the first network device may determine handover information based on the user information and running information of the first network device, so that after the first network device sends an RRC message including the handover information to the terminal device, the terminal device may perform N consecutive cell handovers based on the handover information. In the N cell handovers, the first network device only needs to obtain the user information once, to configure handover conditions for the N subsequent handovers in advance at a time. This simplifies a network signaling procedure, reduces network overheads, and reduces handover response time. The embodiments of this disclosure are applicable to a network handover in a satellite scenario.

Abstract: The present disclosure provides a method and system for large-capacity image steganography and recovery based on an invertible neural networks. The method is intended to embed one or more hidden images into a single host image, and recover all the hidden images from a stego image. The method designs an image steganography model that supports bidirectional mapping. The model includes cascaded invertible modules containing a host branch and a hidden branch. A hidden image is embedded into a host image through forward mapping to form a stego image, and the host image and the hidden image are separated and recovered from the single stego image through reverse mapping.

Abstract: Techniques and architecture are described for tracking flows of packets in a network using a packet color marking scheme for obtaining network end-to-end traffic flow metrics in the network. In particular, in configurations, a user may be prompted to specify a site and a virtual private network (VPN) at which to start a trace for packet flows using a coloring marking scheme within the network. Given the VPN and the site, it is possible to monitor interested packet flows and apply metadata, e.g., colors, on flow packets. Remote wide area network (e.g., software defined WAN (SD-WAN)) routers receiving the packets with metadata may automatically trace the same flow and apply the same metadata to a next hop router. Hence, an end-to-end network path may be discovered.

Abstract: Methods, systems, and computer-readable storage media for a machine learning (ML) system for matching a query entity to one or more target entities, the ML system that reducing a number of query-target entity pairs from consideration as potential matches during inference.