Abstract: The present invention relates to an expandable and contractible structure for a massage device and a massage device, comprising a geared motor, a transmission mechanism, an expandable and contractible mechanism, and a casing. The expandable and contractible mechanism comprises a fan blade fixture, an expansion driver, and deformable fan blades. The transmission mechanism is disposed at the power output end of the geared motor, the expansion driver is sleeved on the transmission mechanism, and the geared motor is accommodated in the casing, which drives the expansion driver and facilitates the opening of the fan blades. When the motor reverses, the expansion driver resets, causing the blades to contract under elastic stress. This design ensures a smooth, jam-free operation and greatly enhances the user experience with its distinctive expandable and contractible functionality.

Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.

Abstract: A method for generating a DNA storage encoding/decoding rule, and a method for DNA storage encoding/decoding. The method for generating the DNA storage encoding/decoding rule includes: setting a sliding window for the DNA storage encoding/decoding rule; screening out, from a full set of sequences, a set of qualified sequences complying with a limiting condition; connecting the sequences in the set of qualified sequences by means of a directed graph; deleting, in the directed graph, nodes of which the number of out-degree is less than a set threshold for the number of out-degree; deleting excess out-degree of each node in the directed graph; and acquiring an algorithm chart, which includes the DNA storage encoding/decoding rule.

Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.

Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.

Abstract: An isolated antibody, comprising: a heavy chain variable domain (VH) that is at least 75% identical to the amino acid sequence of SEQ ID NO: 1; and a light chain variable domain (VL) that is at least 75% identical to the amino acid sequence of SEQ ID NO: 2; wherein the antibody binds specifically to human neurotensin receptor 1 (hNTSR1).

Abstract: Embodiments of the present disclosure relate to the field of network technologies, including a resource transfer method and apparatus and a storage medium. The method includes: storing a graphic code in the specified application client, the graphic code being sent by a specified server when a network is already connected, the graphic code including a user identifier used by the specified application client to log in to the specified server, and the graphic code being obtained by the specified server from a third-party server accessed by an interface of the specified server, and presenting a stored graphic code when detecting a graphic code calling operation.

Abstract: A memory device comprises a memory array including memory cells, a communication interface to a host device, and a memory control unit operatively coupled to the memory array and the communication interface. The memory control unit is configured to store requests to access the memory in the queue, determine whether queued memory access requests are to sequential addresses of the memory array or to random addresses of the memory array, reduce an operating rate of one or more first components of the memory control unit when the queued memory access requests are to sequential addresses of the memory array, and reduce an operating rate of one or more second components of the memory control unit when the queued memory access requests are to random addresses of the memory array.

Abstract: A method for information encoding and decoding, and method for information storage and interpretation are provided. The information encoding method includes: first binary information and second binary information as well as a first encoding rule and a second encoding rule are obtained; a first output candidate symbol corresponding to a current input of the first binary information is obtained and a second output candidate symbol corresponding to a current input of the second binary information is obtained, and an intersection of the first output candidate symbol and the second output candidate symbol is taken as an output corresponding to a current input; and an output symbol corresponding to each binary bit of the first binary information and the second binary information is sequentially determined through the first encoding rule and the second encoding rule, as to obtain an encoding sequence formed by a plurality of the output symbols.

Abstract: The present disclosure provides a new series of 8-hydroxyquinoline derivatives/analogs that are potent KDM4 inhibitors with high activity and selectivity against KDM4 enzymes. Also disclosed are the pharmaceutical compositions comprising such 8-hydroxyquinoline-based potent KDM4 inhibitors, or a pharmaceutically acceptable salt thereof, and method of use thereof, for treating cancer and neoplastic diseases and the like.

Abstract: A shared electronic device management method is implemented in a shared electronic device management device. The method includes receiving a function instruction, obtaining verification information, linking the obtained verification information to verification information in a database, determining whether the obtained verification information meets a first preset condition, implementing the function instruction if the obtained verification information meets the first preset condition, and outputting a prompt if the obtained verification information does not meet the first preset condition. The function instruction includes any one of retrieving, depositing, and repairing a shared electronic device. The verification information includes user verification information and shared electronic device verification information.

Abstract: A method of providing a maintenance schedule that includes generating by a processor of a machine learning hardware device a predictive score for failure for each hardware device failure within a plurality of hardware devices to be serviced; determining by the processor a number of service misses for the hardware devices during a window of service; prioritizing by a processor of the machine learning hardware device each hardware device having a predictive score for failure by a business impact factor; and generating by the processor of the machine learning hardware device a maintenance schedule for the plurality of hardware devices to be serviced using the predictive score that has been prioritized by said business impact factor, wherein the service misses are selected for hardware devices having a lowest priority by the prioritizing of the predictive score by the business impact factor.

Abstract: Disclosed are a method and device for fixed-point editing of a nucleotide sequence stored with data.

Abstract: A system for an in-memory row storage architecture can be provided. In some implementations, the system performs operations comprising adding a data row to an in-memory row store at a row location based on a database operation, indexing the row location in an index table comprising a plurality of nodes for a plurality of rows in the in-memory row store, the plurality of nodes organized across a plurality of buckets, and accessing the data row at the row location in the in-memory row store based on the index table to perform another database operation on the data row Related systems, methods, and articles of manufacture are also described.

Abstract: A memory device comprises a memory array including memory cells, a communication interface to a host device, and a memory control unit operatively coupled to the memory array and the communication interface. The memory control unit is configured to store requests to access the memory in the queue, determine whether queued memory access requests are to sequential addresses of the memory array or to random addresses of the memory array, reduce an operating rate of one or more first components of the memory control unit when the queued memory access requests are to sequential addresses of the memory array, and reduce an operating rate of one or more second components of the memory control unit when the queued memory access requests are to random addresses of the memory array.

Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.

Abstract: A memory device comprises a memory array including memory cells, a communication interface to a host device, and a memory control unit operatively coupled to the memory array and the communication interface. The memory control unit is configured to store requests to access the memory in the queue, determine whether queued memory access requests are to sequential addresses of the memory array or to random addresses of the memory array, reduce an operating rate of one or more first components of the memory control unit when the queued memory access requests are to sequential addresses of the memory array, and reduce an operating rate of one or more second components of the memory control unit when the queued memory access requests are to random addresses of the memory array.

Abstract: A shared electronic device management method is implemented in a shared electronic device management device. The method includes receiving a function instruction, obtaining verification information, linking the obtained verification information to verification information in a database, determining whether the obtained verification information meets a first preset condition, implementing the function instruction if the obtained verification information meets the first preset condition, and outputting a prompt if the obtained verification information does not meet the first preset condition. The function instruction includes any one of retrieving, depositing, and repairing a shared electronic device. The verification information includes user verification information and shared electronic device verification information.