Abstract: A high-speed and large-current adjustable pulse circuit, an operating circuit and an operating method of a phase-change memory are provided. The high-speed and large-current adjustable pulse circuit is provided with a clamping structure, a current mirror structure and a leakage current shutdown structure. The clamping structure including a clamping operational amplifier and a first MOS transistor is configured to generate a reference current. The current mirror structure is configured to generate an output current proportional to the reference current. The leakage current shutdown structure is configured to turn off the current mirror structure and reduce leakage current when pulse disappear. In this way, a device with an adjustable current and a reduced leakage current is realized.

Abstract: A cell selection method, including receiving a broadcast message, where the broadcast message includes indication information, the indication information indicates to camp on a first capacity component carrier (CCC) cell, the first CCC cell is a CCC cell associated with a BCC cell, and the BCC cell is a BCC cell that is found by a terminal device and that satisfies a cell selection criterion, and determining, based on the indication information and the cell selection criterion, whether to camp on the first CCC cell. The indication information indicates the to terminal device to select an appropriate cell to camp on.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into a vector, building a search index using the one or more vectors of the structured text documents stored in the database, then receiving a new structured text document, converting the structured text document into a vector, then searching the search index using the one or more vectors of the new structured text document, and generating a list of N structured text document from the database similar to the new structured text document based on said search

Abstract: A method is disclosed, involving converting at least one structured text document stored in a database into one or more vectors, training a machine learning model to associate the at least one vector with the editors for that structured text document, training a machine learning model to associate the at least one vector with the editors for that structured text document, receiving a second structured text document and converting said second structured text document into one or more vectors, then processing the one or more vectors of the unpublished structured text documents through the trained machine learning model to identify appropriate editor teams, before finally sending the unpublished structured text documents to a computer device associated with an editor.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, using the vectors of the structured text documents stored in a database to create a similarity search index, then for each structured text document from the database, searching the search index using the one or more vectors of the structured text document in order to generate a list of N other structured text document from the database similar to the structured text document based on said search; an storing each list of N other structured text document from the database similar to the structured text document in a table.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, training a machine learning model to associate structured text document vectors with the journals said structured text document were published in; receiving an additional structured text document, converting said additional structured text document into one or more vectors, and processing the additional structured text document through the trained machine learning model to identify an appropriate journal for publication. Systems and computer-readable media implementing the method are also disclosed.

Abstract: Embodiments of the invention provide systems and methods for tracking a mobile device using sensors within the device and without using external signals to determine location, velocity, or heading. According to one embodiment, locating and tracking a mobile device can comprise reading sensor data from each of a plurality of sensors within the mobile device. The sensors can provide the sensor data without relying on a signal from a device external to the mobile device. For example, the plurality of sensors can comprise a compass, a gyroscope, and an accelerometer. Motion, velocity, and heading of the mobile device can be determined based on the sensor data.