Abstract: A communication method includes a terminal device sending M compressed data packets. The M compressed data packets are obtained by compressing M data packets based on a first buffer. The terminal device reestablishes a PDCP layer without resetting the first buffer. The terminal device then sends N compressed data packets. The N compressed data packets are a part or all of the M compressed data packets. When reestablishing the PDCP layer, the terminal device does not reset the first buffer. In this case, if the terminal device needs to retransmit a data packet, the terminal device may retransmit a previously obtained compressed data packet, and does not need to compress the data packet again.

Abstract: A prediction method for changes of physical parameters after earthquakes includes: obtaining a precipitable water vapor after an earthquake in a target monitoring area during a historical period; verifying the accuracy of the precipitable water vapor collected in the historical period; obtaining thermal anomaly data of the land surface temperature after the earthquake in the target monitoring area during the historical period; determining a time difference between peak of the precipitable water vapor and peak of the thermal anomaly of the land surface temperature; when the earthquake occurs again in the target monitoring area, detecting a time point corresponding to the peak of the thermal anomaly of the land surface temperature in the target monitoring area, adding the time point to the time difference to obtain a predicted time point of the peak of precipitable water vapor, and outputting the predicted time point as a time point of secondary disaster.

Abstract: A prediction method for changes of physical parameters after earthquakes includes: obtaining a precipitable water vapor after an earthquake in a target monitoring area during a historical period; verifying the accuracy of the precipitable water vapor collected in the historical period; obtaining thermal anomaly data of the land surface temperature after the earthquake in the target monitoring area during the historical period; determining a time difference between peak of the precipitable water vapor and peak of the thermal anomaly of the land surface temperature; when the earthquake occurs again in the target monitoring area, detecting a time point corresponding to the peak of the thermal anomaly of the land surface temperature in the target monitoring area, adding the time point to the time difference to obtain a predicted time point of the peak of precipitable water vapor, and outputting the predicted time point as a time point of secondary disaster.

Abstract: Disclosed is a method for preparing T cells for adoptive T cell therapy by contacting a population of activated T cells with an Eukaryotic initiation factor-4A (eIF4A) inhibitor. Also disclosed is a kit, a population of T cells or engineered T cells produced by the method and use of the same in adoptive T cell therapy and the treatment of cancer.

Abstract: Embodiments of this application provide a data packet decompression method. In the method, the network side device receives a first PDCP data packet, decompresses the first PDCP data packet, and sends a first buffer data identifier to the electronic device if the first PDCP data packet fails to be decompressed, where the first buffer data identifier corresponds to buffer data used for decompressing the first PDCP data packet; the electronic device receives the first buffer data identifier, and sends first buffer data corresponding to the first buffer data identifier to the network side device, where the first buffer data is buffer data used for generating the first PDCP data packet; and the network side device receives the first buffer data, and decompresses the first PDCP data packet by using the first buffer data.

Abstract: The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.

Abstract: The present invention is to provide a RRAM cell, comprising: two transistors which are coupled and resistive switching cells, and the number of the resistive switching cells is n; wherein electrodes of the resistive switching cells are connected in sequence to form a horizontal stack structure, and the same electrode is shared between any two adjacent resistive switching cells, the gates of the two transistors are used for applying different control signals respectively, the sources of the two transistors are connected together and used for applying a source signal jointly, drains of the two transistors are connected to one end of each of electrodes of different resistive switching cells which the number thereof is m in the resistive switching cells which the number thereof is n respectively, and the other ends of the electrodes of the resistive switching cells which the number thereof is n are used for applying different bit signals respectively. According to the present invention.

Abstract: The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.

Abstract: This application relates to a communication method and apparatus. A first device determines to process a first radio bearer in a first processing manner. The first processing manner activates or deactivates a data packet compression function of the first radio bearer. Then, the first device sends first information, where the first information is used to indicate the first processing manner. The first device can send the first information to indicate to activate or deactivate the data packet compression function, which means that the data packet compression function can be deactivated.

Abstract: The present invention disclosures a RRAM cell structure, comprising a first transistor and a second transistor which are connected in parallel and commonly connected to a resistive switching device; wherein, the first transistor is set with a first gate, a first source and a first drain, a first control signal is applied to the first gate, and a first source signal is applied to the first source; the second transistor is set with a second gate, a second source and a second drain, a second control signal is applied to the second gate, and a second source signal is applied to the second source; the first drain is connected with the second drain, which are commonly connected to one terminal of the resistive switching device, and a bit signal is applied to another terminal of the resistive switching device.

Abstract: The present disclosure provides technical solutions related to action undo service based on cloud platform. Related operations dependent on target operations to be undone may be obtained by dependency analysis and the target operations and the related operations may be undone by time sequence so as to reduce the conflict caused by the undo operations.

Abstract: A communication method includes that a first device deletes a first data packet. The first device sends first signaling to a second device, where the first signaling includes or indicates a first buffer, the first buffer is used to compress a second data packet or used to decompress a compressed second data packet, a serial number of the first data packet and a serial number of the second data packet are consecutive, the serial number of the second data packet follows the serial number of the first data packet, and the second device is a receiving device of the compressed second data packet.

Abstract: This application relates to a method for reporting UDC information by UE, and a device. The method includes: A terminal device receives request information sent by a network device, where the request information is used to request the terminal device to report first information; and the terminal device sends the first information to the network device, where the first information is used to indicate that the terminal device supports a UDC capability, and indicate a maximum quantity of DRBs that can be simultaneously supported by the terminal device and for which UDC is activated.

Abstract: The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.

Abstract: A communication method includes a first device configuring a plurality of buffers to compress data packets. Each of the plurality of buffers is used to compress one or more data packets for transmission. If a compressed data packet is lost during transmission, a receive end cannot decompress a data packet corresponding to a same buffer as the lost data packet, but the receive end can continue to decompress a data packet that does not correspond to the same buffer as the lost data packet.

Abstract: The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.

Abstract: A cell camping method and a terminal device selects a first cell having a quality of service reference value highest among cells found by the terminal device for current camping. When a quality of service reference value of the first cell is less than a first threshold, the terminal device sends a first measuring report or determines not to send a second measuring report such that the terminal device avoids performing cell handover.

Abstract: The present disclosure provides technical solutions related to intelligent cloud management based on profile. Artificial intelligent is applied to cloud management and cloud management suggestion may be proposed intelligently. In daily work, behaviors in using cloud resources may show characteristics of cloud users or cloud tenants themselves. The technical solution of intelligent cloud management of the present disclosure generates profile identifying cloud using characteristics by extracting behavior data in using cloud and intelligently proposes cloud management suggestions based on the profile.

Abstract: The present disclosure provides technical solutions related to action undo service based on cloud platform. Related operations dependent on target operations to be undone may be obtained by dependency analysis and the target operations and the related operations may be undone by time sequence so as to reduce the conflict caused by the undo operations.

Abstract: A device structure for reducing FinFET parasitic resistance and a manufacturing method thereof.