Abstract: An access control method, a base station and a terminal are provided. The method comprises: receiving a system message transmitted by a base station; determining whether to camp on a cell of the base station according to the system message to obtain a determination result; and performing, according to the determination result, a procedure of camping on the cell of the base station or a procedure of not camping on the cell of the base station.

Abstract: A system for measurement of light scattering from a test article includes a light emitting device, configured to emit a light beam onto the test article along light axis, a collection assembly configured to collect scattered light from the test article along a measurement axis that is oriented at a non-zero angle from the light axis, wherein the collection assembly includes a first angular spectral filter, and a second angular spectral filter spaced from the first angular spectral filter along the measurement axis, wherein a position or orientation of at least one of the first angular spectral filter and the second angular spectral is adjustable relative to the measurement axis.

Abstract: A mutation site of an ideal brittle culm mutant ibc in rice, a controlling gene IBC, and use thereof are provided. The controlling gene IBC has: (1) a nucleotide sequence shown in SEQ ID NO: 1 or SEQ ID NO: 2; or (2) a nucleotide sequence of a mutant, an allele, or a derivative generated by adding, substituting, inserting or deleting one or more nucleotides. The present disclosure further provides an encoded protein of the controlling gene IBC, a recombinant construct, a recombinant host cell, a method for embrittling culms in a rice ripening stage by using the controlling gene IBC, and use thereof. In a mutant with allelic variation in the gene IBC and loss of gene editing function, culms exhibit a brittle culm phenotype at the late ripening stage, leaves are not brittle, yield traits are excellent, and other agronomic traits are not obviously changed.

Abstract: A MEMS switch includes an insulating substrate, a driving electrode, a first insulating layer, a first surface of the insulating substrate is provided with a first region, the first region is closer to a surface of the insulating substrate away from the first surface, relative to the first surface, and the driving electrode is on the first region; the first insulating layer completely covers the driving electrode; the first signal transmission line is on a surface of the first insulating layer away from the insulating substrate; and the second signal transmission line includes a signal transmission segment and a cantilever segment connected together as a one-piece member, the signal transmission segment is on the first surface of the insulating substrate, and the cantilever segment is suspended on a side of the first signal transmission line away from the insulating substrate.

Abstract: A mobility management method, a User Equipment (UE) and a network side device are provided. The mobility management method includes: receiving core network information about each cell from a network side device, the core network information being used to indicate a type of a core network; and when a UE is in an idle state, performing cell reselection in accordance with the type of the core network for each cell and a capability of the UE for supporting the core network.

Abstract: In various examples, to support training a deep neural network (DNN) to predict a dense representation of a 3D surface structure of interest, a training dataset is generated using a parametric mathematical modeling. A variety of synthetic 3D road surfaces may be generated by modeling a 3D road surface using varied parameters to simulate changes in road direction and lateral surface slope. In an example embodiment, a synthetic 3D road surface may be created by modeling a longitudinal 3D curve and expanding the longitudinal 3D curve to a 3D surface, and the resulting synthetic 3D surface may be sampled to form a synthetic ground truth projection image (e.g., a 2D height map). To generate corresponding input training data, a known pattern that represents which pixels may remain unobserved during 3D structure estimation may be generated and applied to a ground truth projection image to simulate a corresponding sparse projection image.

Abstract: The embodiments of the present disclosure provide a display substrate, a display panel and a manufacturing method thereof. The display substrate includes a body portion and a to-be-cut portion arranged on at least one side of the body portion, and the body portion and the to-be-cut portion are in a same plane and connected to have a one-piece structure; the display substrate further includes a plurality of test electrodes, some test electrodes are arranged on the body portion, and the other test electrodes are arranged on the to-be-cut portion. The display panel includes the body portion in the display substrate.

Abstract: The present invention relates to a portable combined inhalation device suitable for vials, comprising an atomizing device and a connecting device detachably connected to the atomizing device; the connecting device comprises a support on which an accommodating groove capable of accommodating a vial is formed, and a puncture device that is arranged on the support and can puncture a rubber stopper of the vial; the puncture device comprises a liquid channel and a gas channel. If the vial, the connecting device, and the atomizing device are connected, one end of the liquid channel communicates with the vial, and the other end communicates with the atomizing device; one end of the gas channel communicates with the vial, and the other end communicates with air.

Abstract: In various examples, to support training a deep neural network (DNN) to predict a dense representation of a 3D surface structure of interest, a training dataset is generated from real-world data. For example, one or more vehicles may collect image data and LiDAR data while navigating through a real-world environment. To generate input training data, 3D surface structure estimation may be performed on captured image data to generate a sparse representation of a 3D surface structure of interest (e.g., a 3D road surface). To generate corresponding ground truth training data, captured LiDAR data may be smoothed, subject to outlier removal, subject to triangulation to filling missing values, accumulated from multiple LiDAR sensors, aligned with corresponding frames of image data, and/or annotated to identify 3D points on the 3D surface of interest, and the identified 3D points may be projected to generate a dense representation of the 3D surface structure.

Abstract: A tooth vibration simulation test system to solve the problem of failure to simulate a tooth vibration of the dual-machine parallel drive gear transmission device and being used in tooth vibration simulation testing, includes a first and a second driving units, a transmission shaft assembly, a servo motor controller, a gear transmission device, a loading shaft, a load dynamometer and a load dynamometer control device. The power output of the first driving unit and the second driving unit are both connected to inputs of the gear transmission device, a power output of the gear transmission device is connected to one end of the loading shaft, another end of the loading shaft is connected to a power input shaft of the load dynamometer through the transmission shaft assembly, a signal input terminal of the load dynamometer is connected to a signal output terminal of the load dynamometer controller.

Abstract: Liquid embolic preparations and medical treatment methods of using those preparations are described. In some embodiments, the preparations or solutions can transition from a liquid to a solid for use in the embolization. The preparations can include biocompatible polymers with covalently bound radioactive iodine isotopes.

Abstract: In various examples, sensor configuration for autonomous or semi-autonomous systems and applications is described. Systems and methods are disclosed that may use image feature correspondences between camera images along with an assumption that image features are locally planar to determine parameters for calibrating an image sensor with a LiDAR sensor and/or another image sensor. In some examples, an optimization problem is constructed that attempts to minimize a geometric loss function, where the geometric loss function encodes the notion that corresponding image features are views of a same point on a locally planar surface (e.g., a surfel or mesh) that is constructed from LiDAR data generated using a LiDAR sensor. In some examples, performing such processes to determine the calibration parameters may remove structure estimation from the optimization problem.

Abstract: A mutual authentication protocol based on radio frequency (RF) fingerprint and fuzzy extractor is provided. Two kinds of nodes in the protocol are denoted by authenticator and verifier respectively. In the registration phase, the verifier sends a registration request to the verifier, the verifier receives its RF fingerprint and uses the fuzzy extractor to process it. After storing the help string P related to the verifier, the key generated by R is returned to the verifier, and the verifier stores the key after receiving it. In the authentication phase, the verifier sends an encrypted message containing the challenge value to the verifier. After receiving it, the verifier recovers the key needed for decryption through the fuzzy extractor using the extracted RF fingerprint and the previously stored P value, and returns a reply message to the verifier to achieve the final two-way authentication effect.

Abstract: In various examples, sensor configuration for autonomous or semi-autonomous systems and applications is described. Systems and methods are disclosed that may use image feature correspondences between camera images along with an assumption that image features are locally planar to determine parameters for calibrating an image sensor with a LiDAR sensor and/or another image sensor. In some examples, an optimization problem is constructed that attempts to minimize a geometric loss function, where the geometric loss function encodes the notion that corresponding image features are views of a same point on a locally planar surface (e.g., a surfel or mesh) that is constructed from LiDAR data generated using a LiDAR sensor. In some examples, performing such processes to determine the calibration parameters may remove structure estimation from the optimization problem.

Abstract: The disclosure provides a method of dehydrogenating hydrocarbons, such as C2 or C3 hydrocarbons, selectively and efficiently, to provide the corresponding alkylenes. The method is based on a Pt nanolayer catalyst over MXene (Pt/MXene) that shows resistance to coke deposition. The dehydrogenation conditions developed provided about 22% propane conversion and over 90% selectivity toward the desired propylene product, and the catalyst was stable for a 24-hour continuous run. The byproducts were ethane, ethylene, and methane, and only trace amounts of coke deposition over the catalyst were detected. Similar dehydrogenation conditions provided about 18% ethane conversion and over 90% selectivity toward the desired ethylene product. A mass balance of greater than 96% was achieved in each case.

Abstract: In various examples, to support training a deep neural network (DNN) to predict a dense representation of a 3D surface structure of interest, a training dataset is generated using a parametric mathematical modeling. A variety of synthetic 3D road surfaces may be generated by modeling a 3D road surface using varied parameters to simulate changes in road direction and lateral surface slope. In an example embodiment, a synthetic 3D road surface may be created by modeling a longitudinal 3D curve and expanding the longitudinal 3D curve to a 3D surface, and the resulting synthetic 3D surface may be sampled to form a synthetic ground truth projection image (e.g., a 2D height map). To generate corresponding input training data, a known pattern that represents which pixels may remain unobserved during 3D structure estimation may be generated and applied to a ground truth projection image to simulate a corresponding sparse projection image.

Abstract: The disclosure is an engine simulation test device capable of realizing an ultrahigh compression temperature and pressure, belonging to the field of a diesel engine high-temperature and high-pressure system, solving the problems that the existing engine simulation test cannot achieve ultra-high compression temperature and pressure, and the temperature and pressure are not adjustable. It includes a compressed air inlet mechanism, a nitrogen gas inlet mechanism, a pressure stabilizing mechanism, a cyclic heating mechanism, an air inlet mechanism and a fast compressor mechanism.

Abstract: An electrolyte additive containing a silyl-group compound useful for reducing battery resistance and improving high-temperature performance; an electrolyte containing the silyl-group compound additive; and an electrochemical energy storage device containing the electrolyte are disclosed.

Abstract: Systems and methods for personalized federated learning. The method may include receiving at a central server local models from a plurality of clients, and aggregating a heterogeneous data distribution extracted from the local models. The method can further include processing the data distribution as a linear mixture of joint distributions to provide a global learning model, and transmitting the global learning model to the clients. The global learning model is used to update the local model.

Abstract: In various examples, surface profile estimation and bump detection may be performed based on a three-dimensional (3D) point cloud. The 3D point cloud may be filtered in view of a portion of an environment including drivable free-space, and within a threshold height to factor out other objects or obstacles other than a driving surface and protuberances thereon. The 3D point cloud may be analyzed—e.g., using a sliding window of bounding shapes along a longitudinal or other heading direction—to determine one-dimensional (1D) signal profiles corresponding to heights along the driving surface. The profile itself may be used by a vehicle—e.g., an autonomous or semi-autonomous vehicle—to help in navigating the environment, and/or the profile may be used to detect bumps, humps, and/or other protuberances along the driving surface, in addition to a location, orientation, and geometry thereof.