12 results about "Sequence ID" patented technology

The invention discloses an mRNA non-coding region sequence optimization method and system and electronic equipment, and the mRNA non-coding region sequence optimization method comprises the steps: constructing an initial candidate library according to a target protein; inputting the initial candidate library into a pre-trained mRNA sequence optimization model to obtain a prediction data set; performing multi-dimensional scoring and sequence optimization on the prediction data set to obtain a sequence recommendation group; performing biological verification on the sequence recommendation group to obtain an optimized mRNA sequence; wherein the prediction data set comprises a sequence ID, a sequence content, a prediction TE score and a confidence interval. According to the method, the translation efficiency of the mRNA sequence can be efficiently and accurately predicted, the candidate sequence with high expression potential is screened out, meanwhile, the consumption of computing resources is reduced, and the overall design cost is reduced.

A user equipment (UE) is described. The UE may comprise reception circuitry configured to monitor a first Sidelink positioning reference signal (SL-PRS). The UE may also comprise transmission circuitry configured to perform a transmission of a second SL-PRS. When the UE detects the SL-PRS, the UE may select a different SL-PRS sequence ID from a SL-PRS sequence ID which is used for the first SL-PRS. A sequence for the second SL-PRS may be generated by using the selected SL-PRS sequence ID.

The embodiments of the present invention relate to the field of natural language processing technology and provide a text error correction method, device, electronic device, and storage medium. The method comprises: obtaining a target text to be corrected and performing semantic boundary recognition to obtain all semantic boundaries; then dividing the target text into multiple clauses, assigning IDs according to the order in which each clause appears, and generating structured data with sequence IDs; inputting the structured data into a language model, and calling the target domain knowledge base corresponding to the target text as a constraint condition to perform semantic parsing and identify the error type; adjusting the error correction path based on the error type and then re-identifying the error information, wherein the error information includes error content, error type, and error location; and reorganizing multiple clauses based on the sequence ID and error content, error type, and error location to generate an error correction result including the error location, error type, and correction suggestions. Thus, the coordinated detection and correction of grammatical, semantic, and logical errors is achieved.

Example embodiments of the present disclosure relate to sounding reference signal (SRS) resource coordination for low power high precision positioning (LPHAP) positioning. In one aspect, an apparatus determines at least one of a first list of SRS sequence IDs for LPHAP UEs and a second list of SRS sequence IDs for non-LPHAP UEs. The apparatus then transmits information indicating the first list or the second list to at least one base station. According to some embodiments of the present disclosure, the following advantages can be realized: by making each gNB use a different SRS sequence, the problem of interference between gNBs is effectively avoided; and the special SRS sequence ID list is allocated to the LPHAP UE, so that the problem of interference between the LPHAP UE and the common UE is effectively avoided.

The embodiment of the invention relates to a scheme for managing interference of effective RS configuration in a plurality of cells. In one aspect, a terminal device receives one or more reference signal (RS) configurations from a first network device, the configurations comprising at least one sequence valid in a plurality of cells, and at least one RS sequence identification (ID); updating at least one RS sequence ID of at least one sequence based on configuration information including at least one of a device ID or a cell ID of the terminal device; and transmitting an indication of the update of the at least one RS sequence ID. By means of the proposed scheme, interference of efficient RS configurations in multiple cells may be avoided or reduced.

RNA molecules containing a guide sequence portion having 17 to 50 consecutive nucleotides within any of the sequences shown in Sequence ID No. 1 to 24195, as well as compositions, methods, and uses thereof.

According to an embodiment of the present disclosure, there is provided a photovoltaic power generation method including an operation of setting a first maximum waiting time and transmitting a registration start signal and the first maximum waiting time to one or more module level power electronics (MLPEs), an operation of receiving unique information from a first MLPE among the one or more MLPEs, an operation of assigning a first sequence ID to the unique information of the first MLPE, and an operation of setting a second maximum waiting time and transmitting the registration start signal and the second maximum waiting time to the one or more MLPEs.

The embodiment of the present invention discloses a method, device, electronic device and storage medium for processing model training samples, which relates to the field of artificial intelligence technology. It is convenient to solve the problem of computing resource waste caused by traditional filling methods. It includes: selecting sample data to be spliced ​​from a sample pool; splicing the sample data to be spliced ​​with at least one sample data in the current training batch according to a predetermined data length to form a combined sample; assigning a unique text sequence ID to each sample data for splicing in the combined sample; wherein the text sequence ID is used to identify the position and range of the sample data for splicing in the combined sample; and adding the combined sample as a new sample data to the current training batch for model training. The present invention is applicable to model training scenarios.

A computer-implemented method for generic tenant data replication for disaster recovery, includes regularly checking, by a primary replication agent on a primary site, for changes to a primary change log on the primary site. Based on an insert of a new change record in a secondary change log on a secondary site, triggering a stored procedure from secondary stored procedures on the secondary site, that extracts a change operation and data from the secondary change log and performs the changed operation on a secondary tenant table on the secondary site. By a secondary replication agent on the secondary site and from the primary replication agent, receiving a call not containing a sequence id for a change record marked as completed in the secondary change log, and deleting the change record. Using a replication agents control plane, providing central monitoring for the primary replication agent and the secondary replication agent.

The invention relates to a method, a device and equipment for grabbing label paper with uncertain stack number by a robot and a medium. The method comprises the following steps: acquiring a label paper stack image of a stacking area; according to the label paper stack image, a two-dimensional array corresponding to each label paper stack is obtained, and the two-dimensional array comprises corresponding robot pose data for grabbing the label paper stack and a sequence ID of a tray where the label paper stack is located; according to the number of stacks needing to be grabbed of the label paper and the two-dimensional array, the number of stacks corresponding to each time of grabbing is obtained through decomposition; robot inverse kinematics solution is carried out according to the two-dimensional array and the stack number corresponding to each grabbing, and robot motion track planning data are obtained; and working condition parameters of a grabbing mechanism in the robot are adjusted according to the stack number corresponding to each grabbing, and label paper grabbing control is conducted on the robot on the basis of the adjusted working condition parameters of the grabbing mechanism and the robot movement track planning data. According to the whole scheme, accurate label paper grabbing control can be automatically achieved.

Provided is a conjugate in which DM21 is bonded to an antibody or a fragment thereof that is immunologically reactive with a CAPRIN-1 protein having an amino acid sequence represented by any even-numbered sequence ID number from among SEQ ID NOs: 2-30 or an amino acid sequence having 80% or greater sequence identity with said amino acid sequence, said conjugate being usable as an antibody-drug conjugate (ADC) for treating and / or preventing cancer.

This terminal comprises: a main radio (MR) reception unit that receives, from a network, a sequence ID of a low-power synchronization signal; an MR transmission unit that transmits the sequence ID of the low-power synchronization signal to a low-power wake-up receiver (LR); an LR reception unit that receives the low-power synchronization signal and a low-power wake-up signal; and an LR control unit that executes synchronization or measurement when the low-power synchronization signal is received, and activates the MR when the low-power wake-up signal is received. The LR reception unit receives the sequence ID of the low-power synchronization signal from the MR, and on the basis of the sequence ID of the low-power synchronization signal, receives the low-power synchronization signal addressed thereto that is transmitted from the network.