Abstract: A method of generating content information that matches at least one stored keyword is described. At least one keyword associated with content information is stored. At least one previously searched keyword in a search record is matched with the at least one stored keyword associated with the content information. First-category mapping data is generated based on a first mapping between the matched at least one stored keyword and the at least one previously searched keyword. Second-category mapping data is generated based on the content information and the at least one stored keyword. A received target keyword is determined to be included in the first-category mapping data. In response to the received target keyword, which is included in the first-category mapping data, circuitry of a terminal searches for the content information associated with the target keyword in the second-category mapping data and displays the content information.

Abstract: A reagent, test paper, a reagent kit, and a test paper kit for detecting a sulfhydryl compound, and a preparation method thereof are provided. The reagent is obtained by mixing a phosphotungstic acid (PTA) reagent, an acetate buffer, and a shield reagent in a specified ratio. The test paper is composed of porous water-absorbent paper and a dry detection reagent dispersed thereon. The reagent is based on principle innovation. When in use, the reagent is directly mixed with urine to be tested in a volume ratio of 2:1, a resulting mixture is allowed to stand for 10 min to 15 min, and then a result can be directly determined by naked eyes. The reagent overcomes the shortcoming of requiring a control sample to assist in the determination of a result in existing methods, and has the advantages of simple operation, safety and non-toxicity, and rapid detection.

Abstract: The present disclosure describes a method, apparatus, and storage medium for performing speech recognition. The method includes acquiring, by an apparatus, first to-be-processed speech information. The apparatus includes a memory storing instructions and a processor in communication with the memory. The method includes acquiring, by the apparatus, a first pause duration according to the first to-be-processed speech information; and in response to the first pause duration being greater than or equal to a first threshold, performing, by the apparatus, speech recognition on the first to-be-processed speech information to obtain a first result of sentence segmentation of speech, the first result of sentence segmentation of speech being text information, the first threshold being determined according to speech information corresponding to a previous moment.

Abstract: This specification describes a method for lowering the content of monovalent ions in a final concentrate of a nanofiltration system relative to a brine and a corresponding nanofiltration system. The nanofiltration system comprises at least three stages of nanofiltration, wherein the concentrate from each segment flows into the next segment. A feed stream is sent into one stage to generate a concentrate stream, and a first portion of the concentrate stream is recirculated to the one stage. The pH of the feed stream is controlled in a range of 2-7. The temperature of the feed stream is in a range of 20-60° C. The feed stream includes the recirculated concentrate stream and at least part of a concentrate generated from an upstream stage. The method and the system described herein can reduce the concentration of monovalent ions in the final concentrate during a nanofiltration separation process.

Abstract: In some aspects, the present disclosure provides vaccine compositions comprising an antigen and a diblock copolymer wherein the diblock copolymer is pH responsive. In some embodiments, these compositions activate the STING and/or the interferon receptor pathways. In some embodiments, the diblock copolymer hits a pKa from about 6 to about 7.5. Also provided herein are methods of treatment using these compositions to treat an infectious disease or cancer.

Abstract: An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).

Abstract: A method for detecting a keyword, applied to a terminal, includes: extracting a speech eigenvector of a speech signal; obtaining, according to the speech eigenvector, a posterior probability of each target character being a key character in any keyword in an acquisition time period of the speech signal; obtaining confidences of at least two target character combinations according to the posterior probability of each target character; and determining that the speech signal includes the keyword upon determining that all the confidences of the at least two target character combinations meet a preset condition. The target character is a character in the speech signal whose pronunciation matches a pronunciation of the key character. Each target character combination includes at least one target character, and a confidence of a target character combination represents a probability of the target character combination being the keyword or a part of the keyword.

Abstract: This invention belongs to the field of preparation of macromolecule sample of various volumes, pertaining to a detergent-mixed dry hydrogel particle and a method of using the particle to mass concentrate the macromolecule liquid sample or to enhance specific activity of the protein liquid sample. After thorough suspension and hydration in a detergent solution, the hydrogel particle is separated from the excess of the detergent solution and dried into the detergent-mixed dry hydrogel particle; upon contacting the macromolecule liquid sample in certain ratio with the dry particle having a pore size of its cross-linked network smaller than the macromolecule to allow absorption and swelling of the hydrogel particle, filter centrifugation or filter conical rotating drum centrifugation is exercised to remove the hydrogel particle whose surface is deprived of water and to collect the concentrate filtrate of the macromolecule mass or the protein sample with enhanced specific activity.

Abstract: The present disclosure relates to a crystalline form of upadacitinib and processes for preparation thereof. The present disclosure also relates to a pharmaceutical composition containing the crystalline form, use of the crystalline form for preparing a JAK inhibitor drug, and use of the crystalline form for preparing drugs treating rheumatoid arthritis. The crystalline form of upadacitinib provided by the present disclosure has one or more improved properties compared with prior art and has significant values for future drug optimization and development.

Abstract: A speech recognition method, apparatus, a computer device and an electronic device for recognizing speech. The method includes receiving an audio signal obtained by a microphone array; performing a beamforming processing on the audio signal in a plurality of target directions to obtain a plurality of beam signals; performing a speech recognition on each of the plurality of beam signals to obtain a plurality of speech recognition results corresponding to the plurality of beam signals; and determining a speech recognition result of the audio signal based on the plurality of speech recognition results of the plurality of beam signals.

Abstract: Provided herein are compounds of the formula: (I) wherein the variables are defined herein, which may be used as redox-activatable sensors. In some aspects, the compounds are fluorescence sensors which are activated by the redox state of the cell. Also provided herein are methods of using these compounds to image the cellular environment or the delivery of macromolecules to a cell.

Abstract: Embodiments of the present invention provide a speech signal processing model training method, an electronic device and a storage medium. The embodiments of the present invention determines a target training loss function based on a training loss function of each of one or more speech signal processing tasks; inputs a task input feature of each speech signal processing task into a starting multi-task neural network, and updates model parameters of a shared layer and each of one or more task layers of the starting multi-task neural network corresponding to the one or more speech signal processing tasks by minimizing the target training loss function as a training objective, until the starting multi-task neural network converges, to obtain a speech signal processing model.

Abstract: An alkali metal monohydrogen cyanurate compound of the chemical formula AM(HC3N3O3).nH2O (specifically such as KLi(HC3N3O3).2H2O, RbLi(HC3N3O3).2H2O, RbNa(HC3N3O3).2H2O) and a nonlinear optical crystal thereof are related to optoelectronic functional materials. Measured using a powder frequency doubling test method, and the powder frequency doubling effect of the nonlinear optical crystal is about 2-3 times that of KH2PO4 (KDP). The ultraviolet absorption edge of the nonlinear optical crystal is shorter than 250 nm. The nonlinear optical crystal can achieve the harmonic generator of double, triple, or quadruple frequency for Nd:YAG (?=1.064 ?m). Moreover, the nonlinear optical crystal is of a single crystalline structure, is colorless and transparent, and does not deliquesce in air.

Abstract: A keyword detection method includes: obtaining an enhanced speech signal of a to-be-detected speech signal, the enhanced speech signal corresponding to a target speech speed; performing speed adjustment on the enhanced speech signal to obtain a first speed-adjusted speech signal having a first speech speed, the first speech speed being different from the target speech speed; obtaining a first speech feature signal according to the first speed-adjusted speech signal; obtaining a detection result according to a first keyword detection result corresponding to the first speech feature signal, the detection result indicating whether a target keyword exists in the to-be-detected speech signal; and performing an operation corresponding to the target keyword in response to determining that the target keyword exists according to the detection result.

Abstract: This application discloses a method for training a gaze tracking model, including: obtaining a training sample set; processing the eye sample images in the training sample set by using an initial gaze tracking model to obtain a predicted gaze vector of each eye sample image; determining a model loss according to a cosine distance between the predicted gaze vector and the labeled gaze vector for each eye sample image; and iteratively adjusting one or more reference parameters of the initial gaze tracking model until the model loss meets a convergence condition, to obtain a target gaze tracking model. According to the solution provided in this application, a gaze tracking procedure is simplified, a difference between a predicted value and a labeled value can be better represented by using the cosine distance as a model loss to train a model, to improve prediction accuracy of the gaze tracking model.

Abstract: A video editing method, apparatus and storage medium are provided. The method includes obtaining an object, the object including one or more images; determining a content element of the object for video editing, the content element having a content type identifier; determining a material set identifier corresponding to the content type identifier according to a first behavior tree logic; determining a video editing material set corresponding to the material set identifier; and obtaining an edited video according to the content element and the video editing material set.

Abstract: A method for speech recognition based on language adaptivity comprises obtaining voice data of a user. The method also comprises extracting, based on the obtained voice data, a phoneme feature representing pronunciation phoneme information. The phoneme feature is input to a pre-trained language discrimination model that is pre-trained based on a multilingual corpus. A language discrimination result corresponding to the phoneme feature and in accordance with the language discrimination model is obtained. The method also comprises obtaining a speech recognition result of the voice data based on a language acoustic model of a language corresponding to the language discrimination result. The method further comprises determining a speech recognition result of the voice data based on a language acoustic model of a language corresponding to the language discrimination result.

Abstract: The present disclosure provides use of chemokine receptor CXCR5, wherein CAR-T cells with enhanced chemotaxis are obtained by modifying chimeric antigen receptor T cells (CAR-T cells) utilizing the chemotactic signal between CXCR5 and its ligand CXCL13. The chemokine receptor CXCR5 can guide CAR-T cells to migrate to tumors. It has an excellent ability to enhance the chemotaxis of CAR-T cells, can specifically clear tumor cells, and effectively solve the problem of poor efficacy of the existing CAR-T therapy for solid tumors, thereby exhibiting broad application prospects and great market value.