Abstract: The present disclosure describes a fin field-effect transistor (FinFET) standard cell with double self-aligned contacts. The FinFET standard cell with double self-aligned contacts includes a self-aligned gate contact spanning over a diffusion bonding hole and a self-aligned diffusion bonding hole contact spanning over a gate, and the FinFET device further includes a cap layer between the two self-aligned contacts so as to separate the two self-aligned contacts, thereby further reducing the size of the active fin or a dummy fin so as to further reduce the area of the FinFET standard cell, to prevent a bridge connection between adjacent M0 structures like the M0A and M0P, thereby improving yield of manufacturing.

Abstract: The present disclosure relates to an Industrial Internet of Things (IoT) and a method for controlling a balance rate of a production line. The Industrial IoT includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for a scheduled entity to communicate within a wireless communication network. In one aspect, the scheduled entity receives a plurality of neighbor cell measurement relaxation mechanisms from a scheduling entity. The scheduled entity determines one or more channel condition parameters and selects one or more of the pluralities of neighbor cell measurement relaxation mechanisms, based on the determined one or more channel condition parameters. The scheduled entity executes measurement of one or more neighbor cells using the selected one or more neighbor cell measurement relaxation mechanisms.

Abstract: An apparatus and method for providing ML processing for one or more ML applications operating on one or more Internet of Things (IoT) devices includes receiving a ML request from an IoT device. The ML request can be generated by a ML application operating on the IoT device and include input data collected by the first ML application. A ML model to perform ML processing of the input data included in the ML request is identified and provided to an ML core for ML processing along with the input data included in the first ML request. The ML core produces ML processing output data based on ML processing by the ML core of input data included in the ML request using the ML model. The ML processing output data can be transmitted to the IoT device.

Abstract: A wireless communication device can expedite beam scans for beam management. The wireless communication device can perform a beam scan using a first beam reference signal of a synchronization signal block (SSB) and a second beam reference signal associated with a physical broadcast control channel (PBCH) of the SSB. For each synchronization signal block (SSB) index (e.g., transmit beam) monitored by the wireless communication device, the wireless communication device can obtain a respective beam quality metric on each of two or more respective receive beams using at least the first and second beam reference signals. Other aspects, features, and embodiments are also claimed and described.

Abstract: Presented are systems and methods for acquiring channel state information. A wireless communicate node may transmit a channel state information reference signal (CSI-RS) to a wireless communication device via a first antenna port of a plurality of antenna ports of the wireless communication node. The wireless communication node may receive a channel state information (CSI) report from the wireless communication device.

Abstract: Certain aspects of the present disclosure provide a method for wireless communications by a user equipment (UE), generally including receiving assistance information, from a network entity, indicating a mapping between beams across different remote radio heads (RRHs) and using the assistance information to perform beam management when the UE is moving from the coverage area of one RRH to the coverage area of another RRH.

Abstract: An embodiment relates to a speaker and a speaker module. The speaker comprises a vibration system and a magnetic circuit system; the vibration system comprises a diaphragm and a voice coil coupled to the diaphragm; a space between a front side of the diaphragm and a front sound cavity cover forms a front sound cavity, and a space between a back side of the diaphragm and a rear sound cavity cover forms a rear sound cavity; wherein the speaker further comprises a plurality of injection molding inserts disposed along a vibration direction of the diaphragm, and the injection molding insert comprises a first end and a second end; the first end is joined with a surface of the front sound cavity cover close to the diaphragm, and the second end is joined with a surface of the rear sound cavity cover close to the diaphragm.

Abstract: A fusion protein, an amino acid sequence thereof, a coding nucleotide sequence thereof, a preparation method thereof and a use thereof are in the technical field of agricultural biotechnology. The fusion protein contains or consists of at least three, four, five, six, seven, or eight same and/or different PAMP (Pathogen-Associated Molecular Pattern) polypeptides. Optionally, there is at least one linker or no linker between two adjacent PAMP polypeptides. A plurality of PAMP polypeptides are assembled into the fusion protein having multiple immune epitopes. The fusion protein may induce defense immune responses of plants, weaken infestation ability of pathogenic microorganisms and substantially improve the disease resistance of plants. The method for preparing the fusion protein combines technologies of PTI (PAMP-Triggered Immunity) mechanism and gene engineering to obtain the fusion protein having multiple immune epitopes can be used in preparation of plant immune PAMP polypeptides.

Abstract: Disclosed is a method of quantitatively evaluating structural disturbance characteristics of present in-situ geo-stress in deep shale gas reservoirs, including: measuring geomechanics key parameters of key wells in different tectonic zones within a study area; performing interpretations of single-well profile rock mechanics and continuity of the in-situ geo-stress in magnitude and direction; establishing a geological model; performing anisotropic sequential Gaussian stochastic simulation to obtain three-dimensional (3D) heterogeneous rock mechanics parameter field distribution; performing prediction of distribution of geo-stress states in the study area, and calculating a stress structural index and stress disturbance factor of the target layer and a rotation degree of a maximum horizontal principal stress; and performing quantitative evaluation on an in-situ geo-stress structural disturbance and mapping.

Abstract: A guide rail connecting device for pickup truck bed cover is provided, which includes a guide rail connecting device body, the body includes a first connecting block and a second connecting block, the first connecting block is arranged outside the guide rail, the second connecting block extends into the guide rail, the first connecting block is connected with the second connecting block, the body is connected with a supporting part for supporting the guide rail. In the invention, the guide rail is clamped and connected through the use of the first connecting block and the second connecting block, the support part is used to apply an upward prestress to the guide rails to support the guide rail and prevent the guide rail from collapsing and deforming at the connection.

Abstract: A Helmholtz resonator and a low-frequency broadband sound-absorbing and noise-reducing structure based on the same is provided. The Helmholtz resonator includes a Helmholtz resonator body, at least one embedded tube is disposed in the Helmholtz resonator body, and an inner surface of an opening of the Helmholtz resonator body wraps around an outer side of one of the embedded tubes; and all the embedded tubes are not in contact with each other. The low-frequency broadband sound-absorbing and noise-reducing structure includes a rigid framework, and at least two Helmholtz resonators are disposed in parallel in the framework. The Helmholtz resonator not only achieves a better low-frequency broadband sound absorption and noise reduction effect, but also reduces a thickness of the Helmholtz resonator more effectively.

Abstract: Disclosed are a handover method for between base stations, and a device, system and storage medium. The base station sends a handover request to a target base station, where the handover request carries type information of a core network used for indicating the type of core network which the UE to be handed over between base stations needs to access. The base station receives a handover response sent from the target base station, where the handover response indicates whether the target base station allows the UE to be handed over to the target base station, and the handover response is sent by the target base station according to the type information of a core network and the type of at least one core network connected to the target base station.

Abstract: Disclosed are techniques for wireless communication. In an aspect, during a first synchronization wakeup period while RF circuitry and the FW circuitry are set to an active state, one or more measurements of one or more SSBs of a first SSBS from a base station. The UE predicts, during the first synchronization wakeup period while the RF circuitry and the FW circuitry are in the active state, a second SSBS at which to wake up for a second synchronization wakeup period based on the one or more measurements. In response to completion of FW post-processing operations, the UE transitions the RF circuitry and the FW circuitry from the active state to a sleep state.

Abstract: Provided are an information acquisition method and apparatus, a device, and a storage medium. The method includes: determining the first configuration information of a CSI report, where the first configuration information includes a CSI-RS resource associated with the CSI report and an SRS resource associated with the CSI report, the CSI-RS resource is configured for carrying a channel state information reference signal, and the SRS resource is configured for carrying a sounding reference signal; sending the first configuration information to a second communication node; receiving the CSI report fed back by the second communication node, where the CSI report is generated according to the measurement performed on the channel state information reference signal carried in the CSI-RS resource; and obtaining corresponding channel state information according to the CSI report.

Abstract: Enhanced inter-RAT communication operations are disclosed. In one aspect, a device may identify one or more trigger events for monitoring control signals of another network for inter-RAT procedures, such as monitoring for one or more synchronization signal blocks (SSBs). In another aspect, the device may perform a comparison of multiple SSBs. In another aspect, the device may identify one or more release conditions for releasing local settings data associated with a customized measurement gap. In another aspect, the device may send the local settings data to a server. In another aspect, the device may send an extended signaling message indicating a timing offset between network devices.

Abstract: The embodiments of the present disclosure provide methods and systems for natural gas data computation outside a gas IoT based on energy measuring, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: A busway connector is provided including a base, a drive member, a connection component, and a locking member. The locking member is disposed through the base and fastened to the drive member, and the locking member fits with the base to drive the drive member to move in a first direction. The connection component includes a connection block and connection units connected in series in a row, each connection unit includes a first insulation sheet, a first conductive sheet fastened to the first insulation sheet, a second insulation sheet, and a second conductive sheet fastened to the second insulation sheet. A slot is formed between the first conductive sheet and the second conductive sheet, the first insulation sheet is elastically connected to the second insulation sheet by using an elastic member, and the connection block is slidably connected to the base.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may detect a signal-to-noise ratio (SNR) associated with the UE. The UE may determine a beam tracking frequency based at least in part on the SNR. The UE may perform a beam tracking in accordance with the beam tracking frequency. Numerous other aspects are described.

Abstract: Various embodiments of the present disclosure improve existing multi-layer and other network technologies by routing and processing client requests that require machine learning based on the machine learning capabilities of each network device and/or other computer resource characteristics of different network devices. This ensures that network latency and throughput, among other computer resource consumption characteristics, will be improved as machine learning processing can occur at the most suitable network device or be distributed among various suitable network devices.