Abstract: The present embodiments relate to a PMR write head with a trailing shield that comprises a FeCoNiM composition. The FeCoNiM composition can be formed via an electroplating process by adding Fe2+, Co2+, Ni2+ and a transition metal salt to an aqueous solution comprised of other additives in an electroplating cell that has an Ni or Co as the anode. The plated HD magnetic material as the trailing shield in a PMR writer can minimize a wide area track erasure (WATE). Further, a high moment high damping shield can lower bit error rate (BER) and increase aerial density capability (ADC) of the write head.

Abstract: The present disclosure provides the use of BAZ1B_K426hy in the preparation of a product for tumor detection and belongs to the field of biotechnology. The present disclosure further provides a group of immunogenic polypeptides, including polypeptide A and polypeptide B. An anti-BAZ1B_K426hy polyclonal antibody is prepared by conducting mixed immunization on an animal with the immunogenic polypeptide. The polyclonal antibody can specifically recognize an endogenous protein BAZ1B_K426hy by enzyme-linked immunosorbent assay (ELISA)/Dot blot/Western blot, which is used for preparation of detection products for tumors and Williams syndrome.

Abstract: The present disclosure provides a compressor rotor, a compressor and a refrigerant circulation system. The compressor rotor includes: a motor rotor including a plurality of rotor sections, a locking rod, a compression unit rotating part and a locking member. The rotor sections are fixedly connected in an axial direction and are provided with an axial through hole and the locking rod penetrates through the axial through hole. The compression unit rotating part is located at the end part of the motor rotor and is connected to the locking rod. The locking member is configured to lock the compression unit rotating part on the locking rod. The locking rod, the compression unit rotating part and the locking member form a pressing structure which applies a pressure toward an axial inner side to the motor rotor.

Abstract: A container conveying system including a controller, a first robot, and/or a second robot. A first container pickup mechanism is provided on the first robot. A second container pickup mechanism is provided on the second robot. The controller is configured to, in response to a container conveying request, send a first conveying instruction to the first robot if it is determined a target container to be conveyed based on the container conveying request has a size within a first size range; or send a second conveying instruction to the second robot if it is determined the target has a size within a second size range. In warehousing operation scenarios, by jointly using the two robots for operation, containers with various container sizes can be picked up and placed, thus improving utilization rate of a container storage space.

Abstract: A glass substrate comprises: a first surface with surface features having an average width, an average height, a ratio of the average height to the average width of from about 0.04 to about 0.24, and the first surface has a haze value of 3% to 40%. The glass substrate can be transparent to electromagnetic radiation in the visible spectrum. The glass substrate can have a composition of: 61-75 mol. % SiO2; 7-15 mol. % Al2O3; 0-12 mol. % B2O3; 9-21 mol. % Na2O; 0-4 mol. % K2O; 0-7 mol. % MgO; and 0-3 mol. % CaO. The first surface can have an average surface roughness Ra of from 10 nm to 1,000 nm. The first surface can have an average characteristic largest feature size of from 200 nm to 50 ?m. The ratio of the average height to the average width can be from 0.06 to about 0.08.

Abstract: A pre-alarming method for rotary stall of compressors based on a temporal dilated convolutional neural network includes firstly, preprocessing dynamic pressure data of an aero-engine, and dividing a test dataset and a training dataset from experimental data; secondly, constructing a temporal convolutional network module, a Resnet-v network module and a temporal dilated convolutional network prediction model in sequence, and saving an optimal prediction model.

Abstract: An electronic device may include a display. Control circuitry may operate the display at different frame rates such as 60 Hz, 80 Hz, and 120 Hz. The control circuitry may determine which frame rate to use based on a speed of animation on the display and based on a type of animation on the display. To mitigate the appearance of judder as the display frame rate changes, the control circuitry may implement techniques such as hysteresis (e.g., windows of tolerance around speed thresholds to ensure that the display frame rate does not change too frequently as a result of noise), speed thresholds that are based on a user perception study, consistent latency between touch input detection and corresponding display output across different frame rates (e.g., using a fixed touch scan rate that is independent of frame duration), and animation-specific speed thresholds for triggering frame rate changes.

Abstract: Aspects of the subject technology relate to providing frame rate arbitration for electronic devices. Frame rate arbitration can include determining a global frame rate based on frame rate parameters from one or more animation sources, and providing the global frame rate to the animation sources. The frame rate parameters for various animations sources can have differing preferred, minimum, and/or maximum frame rates, and the global frame rate may be determined for concurrent display of multiple animations from the multiple animation sources. In one or more implementations, frame rate arbitration can also be performed based on frame rate parameters from an input source.

Abstract: The present disclosure relates to a human-machine multi-turn conversation method and system for human-machine interaction, and an intelligent apparatus. The method includes: S1, establishing a knowledge graph of user conversation behavior information; S2, determining, according to information currently input by a user, a node corresponding to the information currently input and at least one child node of the node in the knowledge graph; S3, calculating a support degree of the at least one child node relative to the node according to the number of times of querying the node and the number of times of querying both the at least one child node and the node in a historical query record of the knowledge graph; and S4, determining whether to output semantic information of the at least one child node by determining a size relation between the support degree and a preset support degree threshold value.