Abstract: Provided are a nucleotide and a use thereof. Specifically provided is a nucleic acid molecule that specifically binds to exon 13 of USH2A pre-mRNA. Also provided is a preparation method for and use of the nucleic acid molecule. The nucleic acid molecule has the ability to specifically bind to sequence 3? of exon 13 of USH2A pre-mRNA or a fragment thereof, can perform targeted interference on Pre-mRNA splicing, and can increase the proportion of single skipping of exon 13 of USH2A pre-mRNA, so that safety can be ensured while efficiency is significantly improved.

Abstract: The present invention relates to a CRISPR-Cas13 system and use thereof, and also relates to a Cas13 protein, a fusion protein, and a guide polynucleotide. The Cas13 protein has at least 90% sequence identity compared to SEQ ID NO: 1. The fusion protein comprises the Cas13 protein fused to a protein domain and/or a polypeptide tag. The guide polynucleotide comprises a same-direction repetition sequence and a guide sequence that has been engineered to hybridize with the target RNA. The same-direction repetition sequence has at least 70% sequence identity to any of SEQ ID NOs: 3 and 80-87. The CRISPR-Cas13 system comprises the Cas13 protein that has at least 90% sequence identity to SEQ ID NO: 1, or a coding nucleic acid therefor, and the guide polynucleotide or a coding nucleic acid therefor.

Abstract: Provided is snRNA which targets USH2A pre-mRNA. The recognition domain of the snRNA is the reverse complement of a USH2A pre-mRNA sequence. The snRNA binds to the USH2A pre-mRNA to splice and jump exon 13. The snRNA promotes a higher exon 13 skipping efficiency than AON.

Abstract: The present disclosure relates to an isolated Cas13 protein and use thereof. The amino acid sequence of the isolated Cas13 protein comprises a sequence having ?50% sequence identity with the sequence as shown in any one of SEQ ID NO: 1-SEQ ID NO: 7, and SEQ ID NO: 60. The Cas13 protein is a Cas13 enzyme with an endonuclease activity, which can be used in a CRISPR/Cas system to achieve targeting and modification of a target nucleic acid, enriching the enzymes and systems available in a CRISPR-C as editing system.

Abstract: This application relates to a speech encoding method performed by a computer device the method, including: performing subband decomposition on a target speech signal to obtain a plurality of subband excitation signals; obtaining an auditory perception representational value that corresponds to each subband excitation signal; determining at least one first subband excitation signal and at least one second subband excitation signal from the at least two subband excitation signals; obtaining a gain of each of the at least one first subband excitation signal relative to a preset reference excitation signal as an encoding parameter that corresponds to the first subband excitation signal; obtaining a corresponding encoding parameter that is obtained by quantizing each of the at least one second subband excitation signal; and performing encoding on each subband excitation signal based on the encoding parameter corresponding to the subband excitation signal.

Abstract: This application provides a packet loss retransmission method, a computer-readable storage medium, and an electronic device. The packet loss retransmission method includes: obtaining a loudness corresponding to a target audio data packet; and in response to receiving a packet loss state indicating that the target audio data packet is lost, in accordance with a determination that the loudness corresponding to the target audio data packet meets a first threshold: retransmitting the target audio data packet. The technical solutions of this application may alleviate the problem of long data retransmission time, and improve data transmission efficiency.

Abstract: A call audio mixing processing method is provided. In the method, call audio streams from terminals of call members participating in a call are obtained. Voice analysis is performed on the call audio streams to determine voice activity corresponding to each of the terminals. The voice activity of the terminals indicate activity levels of the call members participating in the call. According to the voice activity of the terminals, respective voice adjustment parameters corresponding to the terminals are determined. According to the respective voice adjustment parameters corresponding to the terminals, the call audio streams of the terminals are adjusted. Further, mixing processing is performed on the adjusted call audio streams to obtain a mixed audio stream.

Abstract: A voice processing method is provided for a terminal. The method includes: performing voice speed detection on a voice obtained from a voice source, to obtain a voice speed value of the voice; obtaining a forward error correction (FEC) redundancy; adjusting the FEC redundancy according to the voice speed value to obtain a target redundancy; performing voice encoding on the voice to obtain a voice encoded packet; performing FEC encoding on the voice encoded packet according to the target redundancy to obtain a redundancy packet; and transmitting the redundancy packet and the voice encoded packet to a receiving end.

Abstract: Provided are an sgRNA targeting Aqp1 RNA, and a vector and use thereof. The sgRNA comprises a targeting structure and a backbone sequence, the targeting structure being complementary to a target nucleic acid Aqp1 RNA sequence, the backbone sequence being capable of binding to or interacting with a Cas protein. After the vector is used to deliver the sgRNA to cells, Aqp1 RNA is targeted and the Aqp1 RNA level is reduced, so as to treat diseases in which downregulation of Aqp1 expression is beneficial, including but not limited to diseases related to Aqp1 overexpression, including cancer and glaucoma.

Abstract: The present disclosure discloses a data transmission method performed by a computer device and a non-transitory computer-readable storage medium. According to the present disclosure, voice criticality analysis is performed on a to-be-transmitted audio to obtain a criticality level of each to-be-transmitted audio frame in the to-be-transmitted audio, and a corrected redundancy multiple of each to-be-transmitted audio frame is obtained according to a current redundancy multiple and a redundant transmission factor corresponding to the criticality level of each to-be-transmitted audio frame. Therefore, each to-be-transmitted audio frame is duplicated according to a corrected redundancy multiple of each to-be-transmitted audio frame, to obtain at least one redundancy data packet, and the at least one redundancy data packet is transmitted to a target terminal, which can improve the network anti-packet loss effect without causing network congestion.

Abstract: Provided is a new method for activating transcription of a gamma-globin gene. The method uses a single-stranded oligonucleotide (ssODN) containing GATA or an antisense complementary sequence TATC thereof as guidance information, and performs gene editing in a gamma-globin gene promoter region to form a GATA-containing enhancer element, which can promote the expression of the gamma-globin gene in mature red blood cells. Hematopoietic stem cells genetically edited by the method have normal functions, can significantly improve the expression of fetal hemoglobin after being differentiated into red blood cells, and therefore can be used in clinical treatment of beta-thalassemia and sickle cell anemia.

Abstract: Embodiments of this application provide an audio data processing method performed by a computer device. The method includes the following steps: acquiring recorded audio; determining prototype audio matching a background reference audio component of the recorded audio from an audio database; extracting candidate speech audio from the recorded audio according to the prototype audio; determining a difference between the recorded audio and the candidate speech audio as the background reference audio component comprised in the recorded audio; performing environmental noise reduction on the candidate speech audio to obtain noise-reduced speech audio corresponding to the candidate speech audio; and combining the noise-reduced speech audio with the background reference audio component to obtain noise-reduced recorded audio.

Abstract: A sampling rate processing method performed by a computer device are disclosed. The method includes: obtaining a first audio signal recorded by a transmitting device, the first audio signal being recorded according to an initial sampling rate of the transmitting device; obtaining a second audio signal recorded by a receiving device during playing of the first audio signal, the second audio signal being recorded according to the initial sampling rate; determining a frequency response gain value of the receiving device according to a power spectrum of the first audio signal and a power spectrum of the second audio signal; determining a target sampling rate of the transmitting device according to the initial sampling rate and the frequency response gain value; and configuring the transmitting device to record audio signals according to the target sampling rate.

Abstract: An encoding parameter adjustment method is performed at a computer device. The method includes: obtaining a first audio signal, and determining a psychoacoustic masking threshold within a service frequency band in the first audio signal; obtaining a second audio signal, and determining a background environmental noise estimation value of the frequency within the service frequency band in the second audio signal; determining a masking tag corresponding to the service frequency band according to the psychoacoustic masking threshold of the first audio signal and the background environmental noise estimation value of the second audio signal; determining a masking rate of the service frequency band according to the masking tag corresponding to the frequency within the service frequency band; determining a first reference bit rate according to the masking rate of the service frequency band; and configuring an encoding bit rate of an audio encoder based on the first reference bit rate.

Abstract: This application relates to a speech coding method performed by a computer device. The method includes: obtaining initial frequency bandwidth feature information corresponding to a speech signal; performing feature compression on initial feature information corresponding to a second band in the initial frequency bandwidth feature information to obtain target feature information corresponding to a compressed band, a frequency interval of the second band being greater than a frequency interval of the compressed band; obtaining, based on the target feature information corresponding to the compressed band, a compressed speech signal corresponding to the speech signal; and coding the compressed speech signal to obtain coded speech data corresponding to the speech signal, a target sampling rate corresponding to the compressed speech signal being less than a sampling rate corresponding to the speech signal.

Abstract: Provided are gRNA that can direct a Cas enzyme to target a CTGF gene and the use thereof, which belongs to the technical field of gene editing. The gRNA may direct the Cas enzyme to perform targeted cleavage on an SMAD binding site region of a CTGF gene promoter, or the gRNA may direct the Cas enzyme to perform targeted cleavage on a CTGF gene exon 2 region. The gRNA can reduce the overexpression of the human CTGF gene via a CRISPR-Cas gene editing system. The above-mentioned gRNA is used for preparing a drug for use against fibrotic diseases.

Abstract: A method for improving speech signal intelligibility is performed at a device. A speech signal is obtained. A correspondence between the speech signal and a respective user group among different user groups having distinct voice characteristics is identified. Pre-encoding signal augmentation is performed on the speech signal with a respective pre-augmentation filtering coefficient that corresponds to the respective user group to obtain a group-specific pre-augmented speech signal. The device encodes the pre-augmented speech signal for subsequent transmission through the voice communication channel. An encoded version of the pre-augmented speech signal has reduced loss of signal quality as compared to an encoded version of the speech signal that is obtained without the pre-encoding signal augmentation.

Abstract: An audio encoding bit rate prediction model training method is performed by a computer device. The method includes: obtaining a sample audio feature parameter corresponding to each of sample audio frames in a first sample audio; performing encoding bit rate prediction on the sample audio feature parameter through an encoding bit rate prediction model, to obtain a sample encoding bit rate for each of the sample audio frames; performing audio encoding on the sample audio frames based on the corresponding sample encoding bit rates to generate sample audio data corresponding to the sample audio frames; performing audio decoding on the sample audio data, to obtain a second sample audio corresponding to the sample audio data; and training the encoding bit rate prediction model based on the first sample audio and the second sample audio until a sample encoding quality score reaches a target encoding quality score.

Abstract: An electronic device performs sub-band decomposition on a to-be-coded audio to obtain a to-be-coded low frequency signal corresponding to a low frequency band and a to-be-coded high frequency signal corresponding to a high frequency band. The device performs compression coding on the to-be-coded low frequency signal to obtain low frequency coded data of the to-be-coded low frequency signal. The device determines high frequency prediction information according to the to-be-coded low frequency signal. The device performs feature extraction on the to-be-coded high frequency signal to obtain high frequency feature information. The device determines high frequency compensation information of the to-be-coded high frequency signal according to a difference between the high frequency feature information and the high frequency prediction information.

Abstract: This application relates to a speech coding method, an electronic device, and a storage medium. The method includes: extracting a first speech frame feature corresponding to a first to-be-encoded speech frame, and obtaining a first speech frame criticality level corresponding to the first to-be-encoded speech frame based on the first speech frame feature; extracting a second speech frame feature corresponding to the subsequent speech frame, and obtaining a second speech frame criticality level corresponding to the subsequent speech frame based on the second speech frame feature; obtaining a criticality trend feature based on the first speech frame criticality level and the second speech frame criticality level, and determining, using the criticality trend feature, an encoding bit rate corresponding to the to-be-encoded speech frame; and encoding the first to-be-encoded speech frame based on the encoding bit rate to obtain an encoding result.