Abstract: A cover song identification method implemented by a computing system comprises receiving, by a computing system and from a user device, harmonic pitch class profile (HPCP) information that specifies one or more HPCP features associated with target audio content. A major chord profile feature and a minor chord profile feature associated with the target audio content are derived from the HPCP features. Machine learning logic of the computing system determines, based on the major chord profile feature and the minor chord profile feature, a relatedness between the target audio content and each of a plurality of audio content items specified in records of a database. Each audio content item is associated with cover song information. Cover song information associated with an audio content item having a highest relatedness to the target audio content is communicated to the user device.

Abstract: The subject technology relates to scheduling resources. For instance, an example method determines containers running on cores of a processor. The method further includes acquiring parameters of the containers. The method further includes determining a designated core from the cores that is adapted to a target container in the containers based on the parameters and a scheduling policy. The method further includes scheduling the target container in the containers to run on the designated core adapted to the container. In this way, containers can be scheduled to processor cores that are most suitable for their running, so that the response speed of services is increased and the mutual interference of resource contention between cores is reduced, thus improving the resource utilization and overall performance of the system.

Abstract: In an example embodiment, a framework is presented that utilizes a large language model (LLM) to aid in the generation of targeting criteria, namely in generating portions of information that will be used to generate a target audience for a particular media item, based in part on the media item itself. More specifically, the LLM is used to produce a suggestion of one or more facets of a target audience, wherein each facet is a category of information for users within the target audience. The LLM is then also used to produce a plurality of segments within the one or more suggested facets. The produced facets and segments may then be used to create a target audience for the media item, even in a cold-start environment where no information about a desired audience is provided by the entity wishing to distribute the media item.

Abstract: Disclosed is an MMLV reverse transcriptase mutant. The present invention provides an MMLV reverse transcriptase mutant having mutations at amino acid residue positions 66 and 68 compared with the wild-type MMLV reverse transcriptase amino acid sequence set forth in SEQ ID NO. 2. The mutant retains the reverse transcriptase activity. The mutant features improved template conversion performance, improved non-template base addition performance, or improved thermal resistance. According to the present invention, MMLV reverse transcriptase mutants with improved template conversion performance compared with the wild type and improved non-template base addition performance or thermal stability are selected. The selected mutants are suitable for RNA sequencing using library preparation methods based on template conversion, such as Smart-Seq, nanopore sequencing, and 5? RACE, and can also be applied to RT-qPCR and the like.

Abstract: A cover song identification method implemented by a computing system comprises receiving, by a computing system and from a user device, harmonic pitch class profile (HPCP) information that specifies one or more HPCP features associated with target audio content. A major chord profile feature and a minor chord profile feature associated with the target audio content are derived from the HPCP features. Machine learning logic of the computing system determines, based on the major chord profile feature and the minor chord profile feature, a relatedness between the target audio content and each of a plurality of audio content items specified in records of a database. Each audio content item is associated with cover song information. Cover song information associated with an audio content item having a highest relatedness to the target audio content is communicated to the user device.

Abstract: A cover song identification method implemented by a computing system comprises receiving, by a computing system and from a user device, harmonic pitch class profile (HPCP) information that specifies one or more HPCP features associated with target audio content. A major chord profile feature and a minor chord profile feature associated with the target audio content are derived from the HPCP features. Machine learning logic of the computing system determines, based on the major chord profile feature and the minor chord profile feature, a relatedness between the target audio content and each of a plurality of audio content items specified in records of a database. Each audio content item is associated with cover song information. Cover song information associated with an audio content item having a highest relatedness to the target audio content is communicated to the user device.

Abstract: The present invention provides a staining agent for gastrointestinal mucosa, including acid violet 43. Compared with existing commercially available staining agent products, the staining agent for gastrointestinal mucosa provided by the present invention has better safety, rinsing performance and stability. It is not susceptible to oxidation and decomposition under conventional conditions, and may provide a longer shelf life. Meanwhile, its staining effect is better than those of commercially available staining agent products at a low concentration.

Abstract: Embodiments that process data are described. For instance, a method includes receiving, at a first disk management device in a storage system, an access request for accessing data in a plurality of disks associated with the storage system. The method further includes determining whether a first access engine for accessing the plurality of disks in the first disk management device is available. The method further includes redirecting the access request to a second disk management device in the storage system if it is determined that the first access engine is unavailable, wherein a second access engine in the second disk management device is available to access the plurality of disks. By means of this method, effective data access can be performed when an access engine of a disk management device is unavailable, thus realizing a more stable access capability and improving the user experience.

Abstract: Embodiments that process data are described. For instance, a method includes receiving, at a first disk management device in a storage system, an access request for accessing data in a plurality of disks associated with the storage system. The method further includes determining whether a first access engine for accessing the plurality of disks in the first disk management device is available. The method further includes redirecting the access request to a second disk management device in the storage system if it is determined that the first access engine is unavailable, wherein a second access engine in the second disk management device is available to access the plurality of disks. By means of this method, effective data access can be performed when an access engine of a disk management device is unavailable, thus realizing a more stable access capability and improving the user experience.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for storage management. According to an example implementation of the present disclosure, a method for storage management includes: acquiring, at a host, a target response entry from a response queue, wherein the response queue includes at least one response entry associated with at least one storage device in a storage system which has been accessed by the host, and the target response entry records information about a target response of a target storage device in the at least one storage device to an access operation initiated by the host; determining, based on the target response entry, whether a failure associated with the target response occurs; and acquiring the target response based on the target response entry if it is determined that no failure occurs. Therefore, the storage performance can be improved.

Abstract: The present disclosure relates to transmitting data between multiple processes. An example method includes: establishing, in response to receiving a request to transmit data between a client terminal process and a server process in a computing device, a communication connection between the client terminal process and the server process, allocating shared storage blocks to the communication connection in response to determining that available shared storage blocks exist in the computing device, and transmitting data between the client terminal process and the server process using the shared storage blocks. Corresponding devices and program products are also described. Beneficially, shared storage blocks can provide higher bandwidth for inter-process data transmission, thereby improving the performance of data transmission.

Abstract: A cover song identification method implemented by a computing system comprises receiving, by a computing system and from a user device, harmonic pitch class profile (HPCP) information that specifies one or more HPCP features associated with target audio content. A major chord profile feature and a minor chord profile feature associated with the target audio content are derived from the HPCP features. Machine learning logic of the computing system determines, based on the major chord profile feature and the minor chord profile feature, a relatedness between the target audio content and each of a plurality of audio content items specified in records of a database. Each audio content item is associated with cover song information. Cover song information associated with an audio content item having a highest relatedness to the target audio content is communicated to the user device.

Abstract: A verification code generation method is performed at a computing device.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for storage management. According to an example implementation of the present disclosure, a method for storage management includes: acquiring, at a host, a target response entry from a response queue, wherein the response queue includes at least one response entry associated with at least one storage device in a storage system which has been accessed by the host, and the target response entry records information about a target response of a target storage device in the at least one storage device to an access operation initiated by the host; determining, based on the target response entry, whether a failure associated with the target response occurs; and acquiring the target response based on the target response entry if it is determined that no failure occurs. Therefore, the storage performance can be improved.

Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.