Abstract: The disclosure relates to the technical field of display, in particular to a displaying substrate, a manufacturing method thereof and a display panel. The displaying substrate comprises a passivation layer (28) and a flat layer (29) covering the passivation layer (28), wherein the flat layer (29) comprises a first flat via hole and a plurality of second flat via holes, the passivation layer (28) comprises a first passivation via hole, and the first flat via hole and the first passivation via hole form a first sleeve hole (31); and the hole depth of the first flat via hole is smaller than that of each second flat via hole, and the hole depth of the first passivation via hole is greater than or equal to the difference between the maximum hole depth of all the second flat via holes and the hole depth of the first flat via hole.

Abstract: Systems, methods, and related technologies for device classification are described. In certain aspects, traffic data associated with a device and data from an external system can be accessed. The data can be processed to determine a device classification for the device. An action can be initiated based on the classification.

Abstract: A display device include a first light emitting diode (LED), a second LED, and at least one processor of a driver. The processor drives the first LED and the second LED. The processor determines a first pulse width associated with the first LED and a second pulse width associated with the second LED based on a level of brightness to be emitted by the first LED and the second LED. The processor also receives a gap clock and determines a first pulse start time and a first pulse end time for the first LED based on the first pulse width. Moreover, the processor determines a second pulse start time and a second pulse end time for the second LED based on the first pulse end time, the second pulse width, and/or the gap clock, in which the first pulse end time and the second pulse end time are different.

Abstract: A method for interacting in live-streaming is provided. The method includes: adding a first terminal requesting to join a first live-streaming room to a second live-streaming room in response to that a current moment is within a target time range, the first live-streaming room being a live-streaming room which relays live-streaming data from a plurality of live-streaming rooms; acquiring first live-streaming room information of the first live-streaming room, and sending a modification request to the first terminal, this modification request being configured to request the first terminal to modify second live-streaming room information of the second live-streaming room to be the first live-streaming room information; and broadcasting an interaction message to the second live-streaming room in response to receiving an interaction request of the first terminal, wherein the interaction request carries the interaction message.

Abstract: Provided are crystal forms of compounds represented by formula(II)-formula (VIII) and formula (I)-formula (VIII-1), a preparation method therefor and an application of the compounds and crystal forms in the preparation of a drug for treating a related disease.

Abstract: Presented are systems and methods for indicating phase tracking reference signal-demodulation reference signal (PTRS-DMRS) association. A wireless communication device may receive a scheduling grant to trigger a first group of physical uplink shared channel (PUSCH) transmission occasions and a second group of PUSCH transmission occasions from a wireless communication node. The scheduling information carried by the scheduling grant may at least include port association information of PTRS-DMRS. The port association information may comprise a first port association for the first group of PUSCH transmission occasions and a second port association for the second group of PUSCH transmission occasions. The second port association may be at least associated with a portion of the scheduling information which is at least for the first group of PUSCH transmission occasions.

Abstract: Computer implemented method and a system for auto completion of text based on the context associated with the text. The computer implemented method includes steps of receiving input text, identifying a certain context associated with the input text from multiple predefined contexts, by feeding the input text into a context-prediction component of a machine learning model that predicts the certain context, selecting a certain context-specific component of the machine learning model from multiple context-specific components according to the identified certain context, feeding the input text into the selected context-specific component that outputs autocomplete text associated with the identified certain context. The context-specific components are each trained to generate autocompleted text associated with a respective context pre-defined for the respective context-specific component.

Abstract: A table management method, a memory storage device and a memory control circuit unit are disclosed. The method includes: storing multiple table groups, wherein each of the table groups includes multiple voltage management tables; detecting a status of the memory storage device; determining one of the table groups as a target table group according to the status of the memory storage device, wherein the target table group includes multiple target voltage management tables; reading data from a rewritable non-volatile memory module by using at least one read voltage level according to at least one of the target voltage management tables.

Abstract: The present disclosure relates to text data processing methods and apparatuses. One example method includes obtaining target text, where a phoneme of the target text includes a first phoneme and a second phoneme that are adjacent to each other. Feature extraction is performed on the first phoneme and the second phoneme to obtain a first audio feature of the first phoneme and a second audio feature of the second phoneme. By using a target recurrent neural network (RNN) and based on the first audio feature, first speech data corresponding to the first phoneme is obtained.By using the target RNN and based on the second audio feature, second speech data corresponding to the second phoneme is obtained.By using a vocoder and based on the first speech data and the second speech data, audio corresponding to the first phoneme and audio corresponding to the second phoneme are obtained.

Abstract: Provided are a binding protein targeting HER2, a preparation method and use thereof. The binding protein includes the following amino acid sequence (a): NDEMRX1TYW X2IALF X3 X4ML X5N X6X7KR X8 X9IR X10LYDDP X11X12A X13 X14LEX15 X16A X17LEA X18 X19 X20. The binding protein can bind to HER2 and has an excellent affinity with HER2. A radionuclide molecular imaging probe may be prepared by means of nuclide labeling, and it can be used in the molecular imaging diagnosis and improve the tumor imaging diagnosis to a molecular level of specific expression of tumor cells, and the HER2 expression in possible tumor lesions in vivo can be monitored in real time before a treatment scheme is determined or in the process of monitoring a medicament treatment progress.

Abstract: An indirect selective breeding method of high-collagen meat geese includes : (1) obtaining a curve equation y=0.017x+0.026; (2) rearing goslings to young geese; (3) measuring the length, width, and height values of the knobs of the geese, and calculating to give the collagen content according to the curve equation obtained in step (1); (4) sorting the geese in descending order according to the collagen content and keeping the geese with collagen content ranked top 50% as breeding geese; (5) after the geese lay eggs, hatching the goose eggs into goslings; and (6) repeating steps (2)-(5) for selective breeding over generations. The indirect selective breeding method is simple and easy to implement. A new strain of meat geese with high collagen content can be obtained from selective breeding simply by measuring the length, width, and height of the knobs of geese of each generation.

Abstract: An array substrate, a preparing method thereof, a display panel and a display apparatus are disclosed. The array substrate includes: a base substrate (1); a driving circuit structure (2) on the base substrate (1); a planarization layer (3) and a plurality of electrode structures (4) successively located on a side, facing away from the base substrate (1), of the driving circuit structure (2); insulation structures (5) in gap areas between adjacent electrode structures (4); and pixel defining structures (6) on a side, facing away from the base substrate (1), of the insulation structures (5). The thickness of the insulation structures (5) is not smaller than the thickness of the electrode structures (4). An orthographic projection of the pixel defining structures (6) on the base substrate (1) at least completely covers the insulation structures (5).

Abstract: One or more computer processors obtain an initial subnetwork at a target sparsity and an initial pruning mask from a pre-trained self-supervised learning (SSL) speech model. The one or more computer processors finetune the initial subnetwork, comprising: the one or more computer processors zero out one or more masked weights in the initial subnetwork specified by the initial pruning mask; the one or more computer processors train a new subnetwork from the zeroed out subnetwork; the one or more computer processors prune one or more weights of lowest magnitude in the new subnetwork regardless of network structure to satisfy the target sparsity. The one or more computer processors classify an audio segment with the finetuned subnetwork.

Abstract: Disclosed are a pyrrolopyrimidine compound and a use thereof in preparing a medicine for diseases related to a BTK protein kinase inhibitor. Specially, disclosed are a compound as shown in formula (III) and a pharmaceutically acceptable salt thereof.

Abstract: The present invention discloses a control method of a refrigerant leak detection system in an air conditioning system, pertaining to the technical field of detecting leak of air conditioning refrigerants, the control method includes steps of: using the first refrigerant leak detector to detect a leak in the outdoor unit; using the second refrigerant leakage detector to detect a leak at a connection point of components; and when the air conditioning system is under functioning for refrigeration, in the event of a leak occurring in the outdoor unit, enabling the first refrigerant leak detector or the second refrigerant leak detector to detect a leak of the refrigerant, closing the first electromagnetic valve and the second electromagnetic valve of the compressor, enabling the condenser fan to discharge the refrigerant from the outdoor unit, and enabling the first exhaust valve and the second exhaust valve to open, to release the refrigerant in the circulation duct, and enabling the condenser fan to discharge th

Abstract: A memory management method, a memory storage device and a memory control circuit unit are disclosed. The method includes: performing a first write operation to store first data to a first physical unit; recording first unit management information corresponding to the first write operation, wherein the first unit management information reflects a usage order of first used physical units, and the first used physical units include the first physical unit; performing data merge operation to copy at least a part of data stored in the first physical unit to a second physical unit; and after the data merge operation is performed, recording second unit management information according to the first unit management information, wherein the second unit management information reflects a usage order of second used physical units. The second used physical units include the second physical unit but do not include the first physical unit.

Abstract: The exemplary embodiments relate to converting Standard Dynamic Range (SDR) content to High Dynamic Range (HDR) content using a machine learning system. In some embodiments, the neural network is trained to convert an input SDR image into an HDR image using the encoded representation of a training SDR image and a training HDR image. In other embodiments, the neural network is trained to convert an input SDR image into an HDR image using a predefined set of color grading actions and the training images.

Abstract: The present application relates to the field of battery, in particular to a positive electrode piece, an electrochemical device and an apparatus. The positive electrode piece of the present application includes a current collector and an electrode active material layer arranged on at least one surface of the current collector, where the current collector includes a support layer and a conductive layer arranged on at least one surface of the support layer. The thickness D2 of one side of the conductive layer D2 satisfies 30 nm?D2?3 ?m, the material of the conductive layer is aluminum or aluminum alloy, and the density of the conductive layer is 2.5 g/cm3 to 2.8 g/cm3, and a primer layer containing a conductive material and a binder is also arranged between the current collector and the electrode active material layer.

Abstract: Systems, methods, and related technologies for device identification are described. In certain aspects, packet data associated with a device can be analyzed and a score determined. The score and the threshold can be compared to determine a device identification for the device.