Abstract: An approach is described for a base station to generate a first message and a second message. The base station transmits the first message and the second message to a user equipment (UE). The first message is associated with a cell supported by the base station and includes a first public land mobile network (PLMN) identity index and a first list of one or more network slices supported by a first PLMN associated with the first PLMN identity index. The second message is associated with one or more neighboring cells, and includes the first PLMN identity index and a second list of one or more network slice data associated the first PLMN as supported by the one or more neighboring cells. In addition, at least one of the one or more network slice data in the second list includes a sub-list of one or more neighboring cell data.

Abstract: Embodiments are presented herein of apparatuses, systems, and methods for a user equipment device (UE) and/or cellular network to resume a connection. To resume the connection, the UE may transmit a fully protected connection resume message, e.g., which may include protection for a resume cause field.

Abstract: An example technique for security key derivation in a wireless system includes: sending a radio resource control (RRC) suspend message from a first node, to a first user device, the RRC suspend message including a first next hop (NH) chaining counter (NCC) value; releasing access stratum (AS) resources associated with the first user device; deriving a first node key based on the first NCC value; receiving a first uplink message from the first user device without allocating AS resources to the first user device; and unscrambling the first uplink message based on the first NCC value.

Abstract: The present application relates to devices and components including apparatus, systems, and methods for supporting voice services during roaming.

Abstract: A method, smart wearable device and computer program product for detecting inter-person conversations. Audio data is captured on the smart wearable device. Such audio data may be from various sources, including sounds that only involve listening by an individual (e.g., television show) and sounds that involves an individual participating in face-to-face communication. Acoustic features are then extracted from the captured audio data. Such extracted acoustic features are a description of the captured audio data. Neural network embedding features are then extracted from the extracted acoustic features using a first neural network model. The extracted neural network embedding features are then fused into a second neural network model (configured to detect inter-person conversations based on detecting speaker change point(s)) to perform user conversation inference. In this manner, inter-person conversations are more effectively detected using a smart wearable device.

Abstract: The present invention relates to methods and compositions for gene silencing by genome editing. In some embodiments, nucleases are provided selected from the group consisting of meganucleases (MNs), zinc-finger nucleases (ZFNs), transcription-activator like effector nucleases (TALENs), Cas9 nuclease, Cfp1 nuclease, dCas9-FokI, dCpf1-FokI, chimeric Cas9/Cpf1-cytidine deaminase, chimeric Cas9/Cpf1-adenine deaminase, chimeric FEN1-FokI, and Mega-TALs, a nickase Cas9 (nCas9), chimeric dCas9 non-FokI nuclease and dCpf1 non-FokI nuclease. Additionally, the present invention relates to methods and compositions for gene silencing by genome editing. Also provided are methods and compositions for rearranging a chromosome by genome editing.

Abstract: The present application relates to the electronic field of railways, and in particular to the traction control system for electric multiple units. A host processor of the traction control system for electric multiple units is connected to a subordinate computer board via a CPCI bus. The traction control system for electric multiple units comprises a fast computing board, a network module and a debugging module. An instruction is passed to the subordinate computer board via the CPCI bus, and meanwhile, the subordinate computer board passes status information to the host processor via the CPCI bus to realize overall control on the interior of the traction control system for electric multiple units. Bidirectional communication between the signal sampling board and the fast computing board is realized by a high-speed differential LinkPort bus to realize quick control on the inverter power module and the four-quadrant power module.

Abstract: The present application relates to the electronic field of railways, and in particular to the traction control system for electric multiple units. A host processor of the traction control system for electric multiple units is connected to a subordinate computer board via a CPCI bus. The traction control system for electric multiple units comprises a fast computing board, a network module and a debugging module. An instruction is passed to the subordinate computer board via the CPCI bus, and meanwhile, the subordinate computer board passes status information to the host processor via the CPCI bus to realize overall control on the interior of the traction control system for electric multiple units. Bidirectional communication between the signal sampling board and the fast computing board is realized by a high-speed differential LinkPort bus to realize quick control on the inverter power module and the four-quadrant power module.

Abstract: An object search method, a search verification method, and apparatuses thereof, pertain to the field of video surveillance technologies. The object search method includes: acquiring an object image for search and a designated region of the object image for search, and calculating local feature points in the designated region of the object image for search; searching in a pre-constructed index set for indexes matching the local feature points in the designated region; and acquiring object images corresponding to the detected indexes, and using the acquired object images as detected object images in a video. In this way, object search is implemented by using local regions of an image, the application range of the object search is extended, and accuracy of the search result is improved.