Abstract: The present disclosure provides a signal transmission method and device, UE, and a network device. The method includes: receiving a transmission configuration indication (TCI) information, where the TCI information is used to indicate at least one first-TCI state; transmitting a first signal according to the TCI information and at least one correspondence relationship. The at least one correspondence relationship includes at least one of the following: a first correspondence relationship between the first-TCI state and UE capabilities, and a second correspondence relationship between the first-TCI state and transmission-related information corresponding to the first signal.

Abstract: The embodiments of present the application disclose a display panel. The display panel includes a substrate disposed with a plurality of scanning lines and a plurality of data lines. A light-emitting component includes three scanning lines and two light-emitting units, and a light-emitting unit includes a plurality of sub light-emitting pixels. A number of the data lines is less than a number of the sub light-emitting pixels in the light-emitting unit, and a product of the number of the data lines and the number of the scanning lines is greater than or equal to the number of the sub light-emitting pixels. By electrically connecting the two light-emitting units with the three scanning lines, a load of the data lines is reduced and display effects are improved.

Abstract: The present disclosure relates to a user equipment, an electronic device, a wireless communication method, and a storage medium. The user equipment according to the present disclosure comprises a processing circuit configured to: determine a physical layer key according to features of a wireless channel between the user equipment and a serving network; receive a serving network message authentication code and a home network authentication token from the serving network; determine an authentication parameter according to the physical layer key and the home network authentication token; and authenticate the serving network according to the authentication parameter and the serving network message authentication code. By using the user equipment, electronic device, wireless communication method, and storage medium according to the present disclosure, an authentication process in a scenario where the user equipment roams can be optimized.

Abstract: Systems, devices, and methods of a cascaded quasi two-level (CQ2L) converter are described herein.

Abstract: An IO processing method and apparatus, a device, and a storage medium are disclosed. The method includes: acquiring IO data sent by a user by means of a logical volume, and sending, by using the logical volume, the IO data to a data cache by a first controller; allocating a second controller to the IO data by a RAID, and synchronizing the IO data from the first controller to the second controller by the data cache; and determining a target address space according to a pre-partitioned RAID layer address space by the second controller if the IO data is a data write request, and performing a data write operation on the target address space based on the IO data, where the pre-partitioned RAID layer address space is a RAID layer address space generated after partitioning a corresponding address space for each controller at a RAID layer.

Abstract: An uncertainty calibration method of prediction and a calibration apparatus are provided. One or more additional features are extracted from the data set. The calibration scaling factor is output by inputting the additional features into the decoder. The online prediction is output by inputting the data to be evaluated into the trained prediction model. The calibration scaling factor is used to adjust the variance of the online prediction, where the variance corresponds to the range of variation of the online prediction.

Abstract: A permeable pavement and cured fiber composition and a related method are provided. The permeable pavement composition includes a quantity of pavement material, and a quantity of cured carbon fiber composite material (CCFCM) configured to be added to the pavement material to produce a reinforced composition having improved characteristics. An example of pavement material includes a pervious concrete material. The method includes providing a quantity of pavement material and adding a quantity of cured carbon fiber composite material to the pavement material to produce a reinforced composition having improved characteristics.

Abstract: Disclosed in the present application are an information transmission method and device, for use in implementing integrity monitoring of a downlink 3GPP RAT-dependent positioning network, to eliminate the influence of factors such as time offset of a base station, transmitter failure of the base station, a multipath channel, and a non-line-of-sight path channel. The information transmission method provided by the present application includes obtaining downlink positioning reference signal (PRS) parameter configuration information; measuring a downlink PRS from a base station on the basis of the downlink PRS parameter configuration information, and generating an error correction parameter ECP; and sending the ECP.

Abstract: Techniques are disclosed for training and applying machine learning models to control robotic assembly. In some embodiments, force and torque measurements are input into a machine learning model that includes a memory layer that introduces recurrency. The machine learning model is trained, via reinforcement learning in a robot-agnostic environment, to generate actions for achieving an assembly task given the force and torque measurements. During training, experiences are collected as transitions within episodes, the transitions are grouped into sequences, and the last two sequences of each episode have a variable overlap. The collected transitions are stored in a prioritized sequence replay buffer, from which a learner samples sequences to learn from based on transition and sequence priorities. Once trained, the machine learning model can be deployed to control various types of robots to perform the assembly task based on force and torque measurements acquired by sensors of those robots.

Abstract: Methods, systems, and computer-readable storage media for receiving a request through a web services API, the request comprising a query to query a database system, retrieving a set of weights that is specific to the web services, determining a factor score for each impact factor in a set of impact factors to provide a set of factor scores, providing a score total for the query based on the set of weights and the set of factor scores, returning a score response including the total score and at least one query suggestion, and receiving a modified request through the web services API, the modified request including the query modified to include at least a portion of the at least one query suggestion.

Abstract: An in-situ evaluation method and system for loess collapsibility based on non-destructive time-domain reflection technology, includes: calculating loess dry density and mass water content; considering loess dry density, mass water content and basic physical property indicators, and evaluating loess collapsibility in situ through mathematical models. The loess collapsibility in-situ evaluation method based on the non-destructive time domain reflectometry technology of the present invention can not only realize whether the loess has collapsibility, but also has the potential to distinguish strong, medium and slight collapsibility.

Abstract: A method and an apparatus for collaborative end-to-end large model-oriented self-driving trajectory decision-making are provided. The method includes: processing an RGB image from ego vehicle, an RGB image from surrounding vehicle, and an RGB image from road-side by using a first feature extraction network to obtain a first image feature, a second image feature, and a third image feature, respectively; fusing first image feature, second image feature, and third image feature to obtain an image fusion feature; processing point cloud data of road-side to obtain a road-side point cloud feature; processing image fusion feature and road-side point cloud feature to obtain a first BEV feature and a second BEV feature; fusing first BEV feature and second BEV feature to obtain a fused BEV feature; and fusing prompt information and fused BEV feature to obtain text information, and then processing text information to obtain an ego vehicle trajectory decision-making result.

Abstract: The invention relates to compounds of formula (A) and formula (I): or a salt thereof, wherein R1, R2, R10, R11, R12, R13, R14, R15, R16, q and p are as described herein. Compounds of formula (A), formula (I), and pharmaceutical compositions thereof are ?v?6 integrin inhibitors that are useful for treating fibrosis such as idiopathic pulmonary fibrosis (IPF) and nonspecific interstitial pneumonia (NSIP).

Abstract: An array base plate includes a substrate; a first conducting layer located at one side of the substrate, and including a plurality of data lines arranged in an array; a second conducting layer in direct contact with a part of a region of the first conducting layer, and including a pixel electrode and a compensating electrode; wherein an orthographic projection of the compensating electrode on the substrate is located within orthographic projections of the data lines on the substrate. The array base plate further comprises transistor, the first conducting layer further comprises a first electrode of the transistor and a second electrode of the transistor, the pixel electrode is in direct contact with a part of a region of the first electrode of the transistor, and the data lines are connected to the second electrode of the transistor.

Abstract: Disclosed herein are system, method, and computer program product embodiments for compressing metadata in a Software-as-a-Service (SaaS) system. A metadata compression service operating on a computing device detects one or more global properties in entity metadata of each tenant in a plurality of tenants. The metadata compression service partitions the plurality of tenants into one or more groups and identifies common properties in each group. The metadata compression service compiles the one or more global properties in a global-level list and the one or more common properties for each group in a group-level list. The metadata compression service obtains one or more tenant-specific properties in the entity metadata of each tenant in the plurality of tenants and defines a data structure of an entity object for the tenant using the global-level list, the group-level list for the group that contains the tenant, and the one or more tenant-specific properties.

Abstract: The present disclosure provides a channel state information reporting method, a channel state information receiving method, a terminal, and a network side device. The reporting method includes: receiving codebook parameter information sent by a network side device; determining an enhanced Type II codebook structure according to the codebook parameter information; determining non-zero coefficient indication information according to the enhanced Type II codebook structure, the non-zero coefficient indication information is used to indicate non-zero coefficient related information in a combined coefficient matrix in the enhanced Type II codebook structure; sending the non-zero coefficient indication information to the network side device.

Abstract: Methods, systems, and computer-readable storage media for executing, by a first database system, a first sub-transaction of a global transaction, the first sub-transaction impacting a primary record in a first database, in response to successful execution of the first sub-transaction, executing, by a second database system, a second sub-transaction including setting a status of a secondary record to a pending status in a status column of a table that stores data of the secondary record, in response to successfully setting the status, executing, by the first database system, one or more operations to commit changes to the primary record, and selectively setting, by the second database system, the status to one of a first final status and a second final status.

Abstract: The present disclosure provides a beam determining method, an apparatus, and a readable storage medium, where the method includes: for a target signal or a target channel, determining beam indication information; where the beam indication information is used to indicate a terminal to receive or send the target signal or the target channel in a corresponding time slot using a receiving beam of a reference signal indicated by a target transmission configuration indication state (TCI state); and sending the beam indication information to the terminal. It overcomes a technical problem in the prior art that beam transmissions cannot be effectively realized for a CSI-RS, an SRS and a non-UE dedicated PDCCH.

Abstract: The present application discloses a solar cell, a solar cell module, and a method for manufacturing a solar cell. In one example, a solar cell includes a semiconductor substrate, an ultra-thin dielectric layer, a passivation layer, a first electrode, and metallic crystals. The semiconductor substrate has a light receiving surface and a back surface opposite to the light receiving surface. The ultra-thin dielectric layer is formed on at least one of the back surface and the light receiving surface of the semiconductor substrate. The passivation layer is formed on the ultra-thin dielectric layer. The first electrode is formed on the passivation layer. The metallic crystals are formed in the passivation layer. The metallic crystals include a first metallic crystal, where an end surface of the first metallic crystal abuts against the ultra-thin dielectric layer, and another end surface of the first metallic crystal is connected to the first electrode.

Abstract: A real-time edge computing method and system for additive manufacturing monitoring are presented. The method involves creating a dataset, developing an online monitoring model, and training it with the dataset. The trained model is then deployed on an edge device to monitor the additive manufacturing process in real-time. The system comprises an edge device and a high-speed camera for capturing and transmitting manufacturing footage to the edge device, which analyzes the data using the deployed model for continuous process monitoring.