Abstract: Disclosed are a vibration sound device for an electronic product and the electronic product. The vibration sound device comprises a first housing, a magnetic assembly, a coil assembly and a second housing. The first housing includes a cavity and is opened at one side thereof. An interaction force is generated between the magnetic assembly in the first housing and the coil assembly on the second housing to drive the vibration sound device to vibrate and sound. According to the present disclosure, the magnetic assembly and the coil assembly are configured into a nested form, so that the overall height of the vibration sound device is reduced, the space utilization rate and the assembly precision are improved, and enough utilization space is provided for an electronic device.

Abstract: The technical field of pharmaceuticals. Disclosed are a triazole derivative, a method for preparing same, and use thereof. The triazole derivative has a structure as shown in formula I, and the triazole derivative of the present invention can be used as a CRM1 inhibitor for preparing a medicament for treating a disease related to CRM1 activity.

Abstract: A vibration exciter for an electronic product comprises a first vibration assembly comprising a first casing (101) and a magnetic circuit assembly below thereof; a second vibration assembly comprising a second casing (105) and at least two groups of coils (102) above thereof and on two sides of the magnetic circuit assembly; the magnetic circuit assembly comprises a central magnet (103b) and at least two side magnets (103a, 103b) in a vibration direction, the magnetizing directions of the two side magnets are parallel to an axial direction of the coils, directions of magnetic poles are opposite; the central magnet comprises at least two groups of magnets (103b, 1032b) in a direction perpendicular to the vibration direction, the magnetizing directions of the at least two groups of magnets are parallel to the vibration direction the directions of the magnetic poles are opposite. The electronic product is also disclosed.

Abstract: Provided is a multimedia data stream processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, and specifically, to the technical fields of cloud computing, media cloud technology, and the like, which may be applied to scenes such as smart cloud. The multimedia data stream processing method includes: allocating a plurality of sub-streams of a multimedia data stream to a plurality of edge resource nodes, where the multimedia data stream is segmented into a plurality of slices and each of the plurality of sub-streams includes a part of the plurality of slices of the multimedia data stream; and scheduling the plurality of edge resource nodes to provide the plurality of sub-streams of the multimedia data stream for a terminal device.

Abstract: A heteroaromatic ring compound as a RET kinase inhibitor, and the preparation and the use thereof, wherein the compound is a compound having the structure of formula (I) or a pharmaceutically acceptable salt thereof. The compound or a salt thereof can be used for treating or preventing diseases or conditions by targeting receptors of fused and mutated forms of the RET gene, can effectively inhibit the growth of multiple tumor cells, produces an inhibitory effect on a RET gene fusion mutation and other proteases, and can be used for preparing an anti-tumor drug.

Abstract: The present invention discloses a tripeptide propylene oxide derivative or a pharmaceutically acceptable salt thereof, and a preparation method and application thereof. The structure of the tripeptide propylene oxide derivative is shown in formula I. Compared with the prior art, the present invention provides tripeptide epoxy ketone compounds with a novel structure and a function of inhibiting proteasome. As 20S proteasome inhibitors, the tripeptide epoxy ketone compounds can block tumor cell proliferation and induce tumor cell apoptosis, so the tripeptide epoxy ketone compounds can be used for the treatment and prevention of a plurality of human and animal diseases such as malignant tumors, and the effect is significantly better.

Abstract: Disclosed of the present application is relation to deep learning based voice data processing. The voice data to be detected is converted into target text data based on a voice recognition model so that the keyword text corresponding to the predetermined target voice keyword can be converted. Then, the data is matched with the target text data to determine whether the voice data to be detected includes the target voice keyword based on the matching result. Thus, because the voice recognition model is obtained by deep learning based on the obtained voice recognition data training set, it can obtain high-precision target text data, thereby improving the accuracy of subsequent matching. The problem of low accuracy of detecting voice data for keyword detection can therefor be solved.

Abstract: Disclosed in the present invention are a crystal form of monomethanesulfonate of a deuterated 3-(4,5-substituted aminopyrimidine)phenyl compound as represented by formula I, and a preparation method therefor. The crystal form is highly stable, can be used for treatment or prevention of diseases or conditions by means of epidermal growth factor receptors (EGFRs) in some mutation forms, can effectively inhibit the growth of a variety of tumor cells, and have an inhibiting effect on other proteases of EGFR and Her families, and thus can be used for preparing antitumor drugs.

Abstract: Disclosed of the present application is relation to deep learning based text classification. The training corpus is screened by key clauses according to the weights of clauses in the training corpus, so as to keep the complete sentence and the original word order as much as possible according to the language habits. Thus, the deep learning model can learn normal semantic features. In addition, the subsample sets corresponding to different preset word length intervals is obtained from the training sample set, and each subsample set is putted into the deep learning model for training, so that several text classification models corresponding to different preset word length intervals can be obtained for text classification. Therefore, the deep learning models can be self-adaptively selected to classify texts based on the above mentioned multiple word length intervals and multi-model training method, to improve text classification accuracy.

Abstract: Provided are an anti-CD47/anti-PD-L1 antibody, a pharmaceutical composition of the anti-CD47/anti-PD-L1 antibody, and applications thereof. The anti-CD47/anti-PD-L1 antibody provides antitumor activity, is free of significant red blood cell toxicity, and is applicable in preparing an antitumor medicament.

Abstract: Disclosed of the present application is relation to deep learning based voice data processing. The voice data to be detected is converted into target text data based on a voice recognition model so that the keyword text corresponding to the predetermined target voice keyword can be converted. Then, the data is matched with the target text data to determine whether the voice data to be detected includes the target voice keyword based on the matching result. Thus, because the voice recognition model is obtained by deep learning based on the obtained voice recognition data training set, it can obtain high-precision target text data, thereby improving the accuracy of subsequent matching. The problem of low accuracy of detecting voice data for keyword detection can therefor be solved.

Abstract: Disclosed of the present application is relation to deep learning based text classification. The training corpus is screened by key clauses according to the weights of clauses in the training corpus, so as to keep the complete sentence and the original word order as much as possible according to the language habits. Thus, the deep learning model can learn normal semantic features. In addition, the subsample sets corresponding to different preset word length intervals is obtained from the training sample set, and each subsample set is putted into the deep learning model for training, so that several text classification models corresponding to different preset word length intervals can be obtained for text classification. Therefore, the deep learning models can be self-adaptively selected to classify texts based on the above mentioned multiple word length intervals and multi-model training method, to improve text classification accuracy.

Abstract: The present disclosure relates to the technical field of antibody drugs, and in particular, to an anti-CD47 antibody or an antigen-binding fragment thereof, a pharmaceutical composition comprising the anti-CD47 antibody or the antigen-binding fragment thereof, and applications thereof. The anti-CD47 antibody or the antigen-binding fragment thereof has significant antitumor activity and high affinity with human CD47 protein, can eliminate the capability of SIRPa to bind to CD47 on a surface of a cell, and does not have significant hemoagglutination activity and thus can be applied to the preparation of an anti-tumor drug.

Abstract: A recombinant microorganism, a preparation method thereof and its application in the production of coenzyme Q10. Specifically, the present disclosure provides a method of exogenously introducing a gene encoding the global regulatory protein irrE to construct a recombinant microorganism. This recombinant microorganism is suitable for producing coenzyme Q10 by fermentation method, and is particularly suitable for producing oxidized coenzyme Q10. The recombinant microorganism of the present disclosure has stress resistance, and has good tolerance against harsh environments including high osmotic pressure and high redox potential, thus making it possible to significantly increase the yield of coenzyme Q10, especially the yield of oxidized coenzyme Q10.

Abstract: The present invention relates to an optimized fermentation process of coenzyme Q10, particularly to a fermentation process of coenzyme Q10 via flow feeding based on cooperative control of changes of online oxygen consumption rate and conductivity. During the fermentation process of coenzyme Q10 production strains, the oxygen consumption rate is controlled between 30-150 mmol/L·h and the conductivity is maintained between 3.0-30.0 ms/cm via flow feeding, so as to facilitate strain growth and the start of coenzyme Q10 synthesis and accumulation. The present invention can substantially increase output of coenzyme Q10 and greatly reduce the production cost with simple process control and strong operability, thus being applicable to large-scale industrial production.

Abstract: Disclosed in the present invention are a crystal form of monomethanesulfonate of a deuterated 3-(4,5-substituted aminopyrimidine)phenyl compound as represented by formula I, and a preparation method therefor. The crystal form is highly stable, can be used for treatment or prevention of diseases or conditions by means of epidermal growth factor receptors (EGFRs) in some mutation forms, can effectively inhibit the growth of a variety of tumor cells, and have an inhibiting effect on other proteases of EGFR and Her families, and thus can be used for preparing antitumor drugs.

Abstract: The present application relates to a method for fermentative production of oxidized coenzyme Q10 and high-content oxidized coenzyme Q10 prepared therefrom. For the method for fermentative production of oxidized coenzyme Q10, in a fermentation process of a production strain, the oxidation-reduction potential (ORP) of a fermentation broth is controlled to be ?50 to 300 Mv, and preferably the oxidation-reduction potential (ORP) of the fermentation broth is controlled to be 50 to 200 mV. By controlling the ORP of the fermentation broth, the method for fermentative production of oxidized coenzyme Q10 enables the oxidized coenzyme Q10 content in the coenzyme Q10 produced by microorganisms to reach 96% or more, and the product is substantially composed of a single component, which makes post-treatment more convenient.

Abstract: Embodiments of the present invention provide a streaming media play mode determination method and apparatus. The method includes: acquiring a streaming media play status in a current play mode, where the current play mode corresponds to a set of parameters for reflecting software and hardware states corresponding to a current play environment; calculating a candidate play mode according to the current play mode, if the streaming media play status satisfies a preset condition; and judging whether the current play mode is the same as the candidate play mode, and determining a play mode for streaming media to be played according to a result of the judgment. The embodiments of the present application provide a mechanism for intelligently selecting the streaming media play mode, make it possible to intelligently calculate the matching degrees of various types of algorithms in the current environment, enabling a best play mode to be preferentially selected.

Abstract: A type of deuterated 3-(4,5-substituted aminopyrimidine)phenyl derivatives and use thereof. The derivatives are compounds of Formula (I) or pharmaceutically acceptable salts thereof. These compounds or salts thereof can be used for treatment or prevention of diseases or illnesses through certain mutant forms of epidermal growth factor receptors, inhibit the growth of various tumor cells effectively, and inhibit other proteases of EGFR and Her families, they can be used for preparing anti-tumor drugs.

Abstract: A type of deuterated 3-(4,5-substituted aminopyrimidine)phenyl derivatives and use thereof. The derivatives are compounds of Formula (I) or pharmaceutically acceptable salts thereof. These compounds or salts thereof can be used for treatment or prevention of diseases or illnesses through certain mutant forms of epidermal growth factor receptors, inhibit the growth of various tumor cells effectively, and inhibit other proteases of EGFR and Her families, they can be used for preparing anti-tumor drugs.