Abstract: Provided are gene editing technologies, including specifically designed and tested guide RNA sequences for improved base editors, useful for disrupting the expression of genes, such as CD33, CD123, CD47, CD45 and CLL1, in a cell. Such methods and edited cells are useful in reducing the toxicity associated with therapies targeting such cell surface antigens, such as those for treating acute myeloid leukemia.

Abstract: The disclosure provides a method for generating a query statement. The method includes: determining a first vector representation based on known nodes in a first syntax tree corresponding to a query statement to be generated; determining a target generation strategy corresponding to a target node to be generated based on the first vector representation and a preset copy reference matrix; generating the target node based on the first vector representation or a second vector representation by performing the target generation strategy, in which the second vector representation is a vector representation corresponding to an adjacent query statement prior to the query statement to be generated; and generating the query statement based on the known nodes and a terminator in response to the target node being the terminator.

Abstract: A method for providing multimodal translation of a content in a source language is provided. The method includes receiving a user input with respect to a translation request of text included in the content, in response to receiving the user input, acquiring a multimodal input from the content, the multimodal input including location information related to the content other multimodal inputs, generating scene information representing the multimodal input related to the content by using a fusion layer based on the location information and the other multimodal inputs, identifying a candidate word set in a target language, determining at least one candidate word from the candidate word set based on the scene information, and translating the text included in the content into the target language using a translation model based on the determined at least one candidate word.

Abstract: The present disclosure provides a method and apparatus for acquiring a pre-trained model, an electronic device and a storage medium, and relates to the field of artificial intelligence, such as the natural language processing field, the deep learning field, or the like. The method may include: adding, in a process of training a pre-trained model using training sentences, a learning objective corresponding to syntactic information for a self-attention module in the pre-trained model; and training the pre-trained model according to the defined learning objective. The solution of the present disclosure may improve a performance of the pre-trained model, and reduce consumption of computing resources, or the like.

Abstract: A multi-active region cascaded Bragg reflection waveguide edge-emitting diode laser, including a substrate, a buffer layer, an N-type cladding layer, an N-type waveguide layer, a cascaded multi-active region, a P-type waveguide layer, a P-type cladding layer and a capping layer arranged sequentially from bottom to top. The waveguide layer adopts a Bragg reflection waveguide structure formed by periodic arrangement of high and low refractive index layers. The cascaded multi-active region includes multiple active regions, tunnel junctions and a confinement layer. A fundamental mode near field of the laser is formed by periodic oscillating peaks, with an envelope close to Gaussian distribution. There are large-swing oscillation peaks near the cascaded multi-active region. The active regions are located at peaks of the fundamental mode near field, and tunnel junctions are inserted at troughs with low light intensity.

Abstract: Provided are fusion proteins and related molecules useful for conducting base editing with reduced or no off-target mutations. The fusion protein may include a first fragment comprising a nucleobase deaminase or a catalytic domain thereof, a second fragment comprising a nucleobase deaminase inhibitor, and a protease cleavage site between the first fragment and the second fragment. Also provided are improved prime editing systems, including prime editing guide RNA with improved stability.

Abstract: Provided are fusion proteins and related molecules useful for conducting base editing with reduced or no off-target mutations. The fusion protein may include a first fragment comprising a nucleobase deaminase or a catalytic domain thereof, a second fragment comprising a nucleobase deaminase inhibitor, and a protease cleavage site between the first fragment and the second fragment. Also provided are improved prime editing systems, including prime editing guide RNA with improved stability.

Abstract: The present disclosure discloses a brain-computer interface decoding method and apparatus based on point-position equivalent augmentation. According to the method, a point-position equivalent transformation is performed on sampling points to augment training data and generate arrangement sets. The task-related component analysis is performed on the augmented data to generate spatial filter. Afterwards, a full-frequency directed rearrangement is performed on verification signals or test signals according to the equivalent arrangement sets. After spatial filtering, Pearson correlation coefficients between the rearranged signals and the decoding templates are calculated. These correlation coefficients will be classified and voted by using a naive Bayes method. The verification module will generate the coefficient probability density functions and a threshold, and the test module will finally output the predicted label based on these information.

Abstract: The present disclosure provides a data pair generating method, apparatus, electronic device and storage medium, and the field of artificial intelligence such as natural language processing and deep learning. The method may include: generating M SQL query statements for a given database, where M is a positive integer greater than one; performing the following processing for each SQL query statement: dividing the SQL query statement into at least one SQL clause; obtaining a question description corresponding to each SQL clause; combining the question descriptions to obtain a question corresponding to the SQL query statement. The solution of the present disclosure may be applied to save manpower and time costs.

Abstract: Provided are fusion proteins and related molecules useful for conducting base editing with reduced or no off-target mutations. The fusion protein may include a first fragment comprising a nucleobase deaminase or a catalytic domain thereof, a second fragment comprising a nucleobase deaminase inhibitor, and a protease cleavage site between the first fragment and the second fragment. Also provided are improved prime editing systems, including prime editing guide RNA with improved stability.

Abstract: A semiconductor disk chip includes a cap layer having at least one structured region for mode selection, a periodic gain structure, a Distributed Bragg reflector, and a substrate. The structured region is structured in such a way that a lateral fundamental mode of the laser radiation experiences lower losses than radiation of higher laser modes and includes at least one trench extending into the cap layer to a depth not greater than a thickness of the cap layer, and wherein the depth decreases from an outer region of an emission surface of the semiconductor chip in a direction of an inner of the emission surface of the semiconductor chip.

Abstract: The present disclosure provides a method and apparatus for acquiring a pre-trained model, an electronic device and a storage medium, and relates to the field of artificial intelligence, such as the natural language processing field, the deep learning field, or the like. The method may include: adding, in a process of training a pre-trained model using training sentences, a learning objective corresponding to syntactic information for a self-attention module in the pre-trained model; and training the pre-trained model according to the defined learning objective. The solution of the present disclosure may improve a performance of the pre-trained model, and reduce consumption of computing resources, or the like.

Abstract: Disclosed are a method for training a semantic representation model, a device and a storage medium, which relate to the field of computer technologies, and particularly to the field of artificial intelligence, such as a natural language processing technology, a deep learning technology, or the like.

Abstract: The application provides a device control method, a conflict processing method, a corresponding apparatus, and an electronic device. The method includes: acquiring an input instruction of user; acquiring at least one of the following information: user information, environmental information, device information; determining at least one execution device of the input instruction based on the acquired information and the input instruction; controlling the at least one execution device to perform a corresponding operation. The present application can determine at least one optimal execution device by using at least one of the obtained input instruction and the user information, the environment information, and the device information when the user does not specify the specific execution device, thereby better responding to the user.

Abstract: Embodiments of the present disclosure provide a method and apparatus for outputting a structured query sentence. The method may include: acquiring a to-be-converted natural language sentence; inputting the to-be-converted natural language sentence into a pre-trained sequence to sequence model to obtain an action sequence corresponding to the to-be-converted natural language sentence; generating a directed acyclic graph according to the action sequence; and outputting a structured query sentence corresponding to the generated directed acyclic graph according to a preset corresponding relationship between a directed acyclic graph and a structured query sentence.

Abstract: Provided are fusion proteins and related molecules useful for conducting base editing with reduced or no off-target mutations. The fusion proteins may include a first fragment comprising a nucleobase deaminase or a catalytic domain thereof, a second fragment comprising a nucleobase deaminase inhibitory domain, and a protease cleavage site between the first fragment and the second fragment. Also provided are improved prime editing systems, including prime editing guide RNA with improved stability.

Abstract: The present disclosure provides a data pair generating method, apparatus, electronic device and storage medium, and the field of artificial intelligence such as natural language processing and deep learning. The method may include: generating M SQL query statements for a given database, where M is a positive integer greater than one; performing the following processing for each SQL query statement: dividing the SQL query statement into at least one SQL clause; obtaining a question description corresponding to each SQL clause; combining the question descriptions to obtain a question corresponding to the SQL query statement. The solution of the present disclosure may be applied to save manpower and time costs.

Abstract: The disclosure provides a method for generating a query statement. The method includes: determining a first vector representation based on known nodes in a first syntax tree corresponding to a query statement to be generated; determining a target generation strategy corresponding to a target node to be generated based on the first vector representation and a preset copy reference matrix; generating the target node based on the first vector representation or a second vector representation by performing the target generation strategy, in which the second vector representation is a vector representation corresponding to an adjacent query statement prior to the query statement to be generated; and generating the query statement based on the known nodes and a terminator in response to the target node being the terminator.

Abstract: A method for providing multimodal translation of a content in a source language is provided. The method includes receiving a user input with respect to a translation request of text included in the content, in response to receiving the user input, acquiring a multimodal input from the content, the multimodal input including location information related to the content other multimodal inputs, generating scene information representing the multimodal input related to the content by using a fusion layer based on the location information and the other multimodal inputs, identifying a candidate word set in a target language, determining at least one candidate word from the candidate word set based on the scene information, and translating the text included in the content into the target language using a translation model based on the determined at least one candidate word.

Abstract: Provided are fusion proteins and related molecules useful for conducting base editing with reduced or no off-target mutations. The fusion proteins may include a first fragment comprising a nucleobase deaminase or a catalytic domain thereof, a second fragment comprising a nucleobase deaminase inhibitory domain, and a protease cleavage site between the first fragment and the second fragment. Also provided are improved prime editing systems, including prime editing guide RNA with improved stability.