Abstract: Embodiments of this application provide a target detection method and apparatus, an electronic device, and a computer storage medium. The method includes: obtaining a target image including a target object; performing instance segmentation on the target image, to obtain a segmentation mask corresponding to the target object; obtaining, based on the segmentation mask, position relationship features between target pixels in a target region in which the target object is located in the target image; obtaining position relationship features between standard pixels in a preset region of interest in a standard image, where the standard image includes a standard object corresponding to the target object; and matching the position relationship features between the target pixels and the position relationship features between the standard pixels, to obtain a correspondence between the target pixels and the standard pixels, and obtaining pose information of the target object based on the correspondence.

Abstract: An electronic device includes a decoupling member, a first radiator, a second radiator, a first feed unit, a second feed unit, and a rear cover. A gap is formed between the first radiator and the second radiator, the decoupling member is indirectly coupled to the first radiator and the second radiator, and the decoupling member is disposed on a surface of the rear cover. The decoupling member does not overlap a first projection, and the first projection is a projection of the first radiator in a first direction. The decoupling member does not overlap a second projection, and the second projection is a projection of the second radiator in the first direction. The first direction is a direction perpendicular to a plane on which the rear cover is located.

Abstract: A mining grouting reinforcement material is provided and includes a component A including a sodium silicate solution and an amino acid salt, and a component B including an isocyanate, a plasticizer, a filler and a molecular bridging agent. A specific gravity of the filler is 2 to 8.

Abstract: A method and apparatus comprising computer code configured to cause a processor or processors to receive an audio signal obtained from a microphone, input the audio signal into a neural-network based AEC model, and output an AEC signal from the neural-network based AEC model in which AEC is applied to the audio signal, and the AEC signal is a version of the audio signal in which acoustic echo noise of the audio signal is suppressed and target audio of the audio signal is sustained.

Abstract: The present disclosure relates to a device and method for recovering arsenic and gallium. A closed furnace body is in communication with a vacuuming pipe, and the vacuuming pipe is connected to a vacuuming mechanism. The closed furnace body includes a first furnace body, a second furnace body and a third furnace body. A first heating mechanism and a graphite crucible are arranged inside the first furnace body, the first heating mechanism being used for heating the graphite crucible. A first collection cylinder is in communication with a second collection cylinder. The device for recovering arsenic and gallium of the present disclosure is arranged with a structure for realizing directional condensation of gallium arsenide clusters and arsenic vapor, respectively, to realize high-purity recovery of arsenic and gallium.

Abstract: A method and apparatus comprising computer code configured to cause a processor or processors to receive an audio signal obtained from a microphone, input the audio signal into a neural-network based AHS model, wherein the neural-network based AHS model is trained using a training audio signal, and output an AHS signal from the neural-network based AHS model in which AHS is applied to the audio signal, wherein the AHS signal is a version of the audio signal in which acoustic howling noise of the audio signal is suppressed and target audio of the audio signal is sustained.

Abstract: The present application relates to an epoxy-based adhesive composition, which may include (a) one or more epoxy resins, (b) a urethane resin having a weight average molecular weight (Mw) of 30,000 or less, and having a polytetrahydrofuran unit, (c) a core-shell rubber in the form of secondary particles in which two or more core-shell rubbers in the form of primary particles are aggregated and (d) one or more epoxy curing agents. The adhesive composition of the present application can provide excellent adhesion strength, peel strength and impact-resistant strength uniformly over a wide temperature range.

Abstract: An unsupervised text to speech system utilizing a lexicon to map input text to the phoneme sequence, which is expanded to the frame-level forced alignment with a speaker-dependent duration model. An alignment mapping module that converts the forced alignment to the unsupervised alignment (UA). Afterword, a Conditional Disentangled Sequential Variational Auto-encoder (C-DSVAE), serving as the self-supervised TTS AM, takes the predicted UA and a target speaker embedding to generate the mel spectrogram, which is ultimately converted to waveform with a neural vocoder.

Abstract: The present disclosure relates to the technical field of small nucleic acid drug delivery, and particularly discloses a compound, a conjugate and uses thereof. The present disclosure provides a nucleic acid drug targeted delivery monomer and conjugate and a preparation method thereof, the monomer and the conjugate which is formed by the monomer and has a specific design structure can specifically deliver an active drug (or small nucleic acid) to a cell receptor (or surface) in a targeted manner and can be combined with the receptor. The conjugate connected with the active drug (or small nucleic acid) can improve the cell penetration capability of the nucleic acid drug and enhance the stability of the nucleic acid drug in cells owing to the structural characteristics of the conjugate, and can effectively solve the problem of directional delivery of the drug.

Abstract: A method, computer system, and computer readable medium are provided for activating speech recognition based on keyword spotting (KWS). Waveform data corresponding to one or more speakers is received. One or more direction features are extracted from the received waveform data. One or more keywords are determined from the received waveform data based on the one or more extracted features. Speech recognition is activated based on detecting the determined keyword.

Abstract: A circuit sleep method includes: writing all data stored in a memory unit into a current data-backup block and performing a check calculation on the data written into the current data-backup block to obtain a first verification value; powering down the circuit to make the circuit enter a sleep mode; restarting the circuit and determining whether the processing unit has written all the data stored in the memory unit into the current data-backup block before the circuit enters the sleep mode; performing the check calculation on the data stored in the current data-backup block to obtain a second verification value and comparing the first verification value with the second verification value; and writing back the data stored in the current data-backup block to the memory unit in a case that the first verification value and the second verification value are the same.

Abstract: Method, apparatus, and non-transitory storage medium for training a deep neural-network model jointly for acoustic echo suppression and acoustic howling suppression are provided. The method may include generating a teacher speech signal for training the deep neural-network model based on a input speech from a speech system and at least one reference signal. The deep neural-network model is trained jointly for both acoustic echo suppression and acoustic howling suppression by using the teacher speech signal and a correlation loss. During training of the deep neural-network model, the training task formulates a recurrent feedback suppression process as an instantaneous speech separation task using the teacher-forced training strategy.

Abstract: Method, apparatus, and non-transitory storage medium for hybrid acoustic howling suppression based on a frequency filter model and a deep neural network are provided. The method may include receiving a speech signal, the speech signal including target speech, feedback, and noise, and inputting the speech signal into a trained hybrid neural-network based howling suppression model, wherein the trained hybrid neural-network based howling suppression model is trained using training speech signal and pre-processed acoustic feedback from a first frequency filter model. The method may also include generating an enhanced speech signal with suppressed howling as an output of the trained hybrid neural-network based howling suppression model, wherein the enhanced speech signal is used to update parameters of the first frequency filter model.

Abstract: The present application provides a heterocyclic compound, an organic light emitting device in which the heterocyclic compound is contained in an organic material layer and a composition for an organic material layer of the organic light emitting device.

Abstract: The present disclosure provides a driving control module, a driving control method, a double-layer panel, and a display device. The driving control module is applied to the double-layer panel, the double-layer panel includes a first panel and a second panel, the first panel is a touch display panel, the second panel is a display panel, and the driving control module includes a control circuitry. The control circuitry is electrically coupled to the first panel and the second panel, and configured to control a touch stage of the first panel to be arranged within a spacing stage of the second panel, the first panel is configured to perform touch detection in the touch stage, and the spacing stage includes at least one of a scanning blank stage, a frame start time of image display time period, and a frame end time of the image display time period.

Abstract: A method including receiving an input comprising natural language texts; segmenting the natural language texts into sections; summarizing the natural language texts; developing a first model based on the plurality of sections and the summary of the natural language texts; identifying one or more salient sentences within the natural language texts using the first model; determining a sentence quality score based on how informative a salient sentence is; determining a sentence similarity score based on a salient sentence's similarity to another salient sentence; developing a second model based on the sentence quality score and the sentence similarity score; combining the first model and the second model into a final model; selecting sentences based on the final model; and generating an extractive summarization using the selected sentences.

Abstract: A method, including: identifying static application features of an application; identifying resource access features of the application; labeling a translation lookaside buffer (TLB) miss threshold of a runtime feature of the application; determining utilization of larger pages during the runtime based on the TLB miss threshold; and setting the TLB miss threshold based on the determined utilization of the larger pages.

Abstract: The present disclosure relates to the technical field of small nucleic acid drug delivery, and particularly discloses a compound, a conjugate and uses thereof. The present disclosure provides a nucleic acid drug targeted delivery monomer and conjugate and a preparation method thereof, the monomer and the conjugate which is formed by the monomer and has a specific design structure can specifically deliver an active drug (or small nucleic acid) to a cell receptor (or surface) in a targeted manner and can be combined with the receptor. The conjugate connected with the active drug (or small nucleic acid) can improve the cell penetration capability of the nucleic acid drug and enhance the stability of the nucleic acid drug in cells owing to the structural characteristics of the conjugate, and can effectively solve the problem of directional delivery of the drug.

Abstract: The present invention relates to a one-pot process for the production of poly carbodiimide cured polymers. comprising a reaction of (a) at least one polycarbodiimide with two or more carbodiimide functionalities per molecule. (b) at least one polyol with two or more hydroxyl functionalities per molecule, and (c) at least one cyclic carboxylic anhydride.

Abstract: The present disclosure relates to the technical field of biotechnology, and discloses a nucleic acid targeting proprotein convertase subtilisin/kexin 9 and uses thereof. The nucleic acid provided by the present disclosure can effectively inhibit the expression of PCSK9, thereby being capable of treating and/or preventing hyperlipidemia related diseases.