Abstract: A method for preparing a shell-bionic ceramic tool and a shell-bionic ceramic tool, wherein the shell-bionic ceramic tool includes alternating stacks of ceramic powders with different components, pressing a ceramic green body using a cold briquetting method, carrying out pre-pressing once using a graphite indenter on a working surface thereof after each layer of the ceramic powder being loaded, and pressing a last layer using a graphite rod, and then pressing a whole ceramic green body with a certain pressure to promote a bonding of the layers of ceramic powder, which in turn gives a complex shape to an interface between the layers, increases a bonding area between the layers, and plays the role of hindering crack expansion, extending the crack expansion path, and improving the bonding strength of the interface; after then, hot-pressed sintering is used to densify the ceramic green body to obtain the shell-bionic ceramic tool.

Abstract: This application discloses a NB-IoT-based communication method and an apparatus, to evolve a NB-IoT communication technology into an NTN. The method is as follows: A terminal device generates an uplink signal, including a superframe which includes a synchronization sequence located in first duration of the superframe and a data frame located in second duration which is after the first duration, the synchronization sequence successively includes a first sequence repeated Ni times and a second sequence repeated N2 times, the second sequence is obtained by multiplying the first sequence by ?1, a part of consecutive sequences of the synchronization sequence are used as a first synchronization reference sequence that is obtained based on the second sequence repeated N2 times and one or more first sequences that are sorted from back to front in the first sequence repeated N1 times. The terminal device sends the uplink signal to a network device.

Abstract: An encoding method, a decoding method, and an apparatus. A symbol quantity S is determined based on an encoding bit quantity L and an energy level quantity B, where S is S1 or S2, S1=L/B, and S2=L/2B. K information sub-channels are determined from an encoding sequence based on the symbol quantity S, the energy level quantity B, and a reliability sequence. K information bits are encoded and a bit sequence is output based on the K information sub-channels, where the K information sub-channels are selected from candidate sub-channels based on an order of reliability of the candidate sub-channels. The candidate sub-channels are S1 sub-channels or 2×S2 sub-channels in a sub-sequence whose energy level is i in the encoding sequence.

Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.

Abstract: A method for cleaning semiconductor substrate without damaging patterned structure on the semiconductor substrate using ultra/mega sonic device comprises applying liquid into a space between a substrate and an ultra/mega sonic device; setting an ultra/mega sonic power supply at frequency f1 and power P1 to drive the ultra/mega sonic device; before bubble cavitation in the liquid damaging patterned structure on the substrate, setting the ultra/mega sonic power supply at zero output; after temperature inside bubble cooling down to a set temperature, setting the ultra/mega sonic power supply at frequency f1 and power P1 again; detecting power on time at power P1 and frequency f1 and power off time separately or detecting amplitude of each waveform output by the ultra/mega sonic power supply; comparing the detected power on time with a preset time ?1, or comparing the detected power off time with a preset time ?2, or comparing detected amplitude of each waveform with a preset value, if the detected power on time

Abstract: Disclosed is a follow focus. The follow focus includes the gear box, the handwheel assembly and the follow focus assembly. The handwheel assembly includes a handwheel body and an active worm, the active worm is fixed to the handwheel body and extends toward the gear box, and the active worm is provided with a first worm gear; and a follow focus assembly includes a follow focus gear and a driven worm, the driven worm is fixed to the follow focus gear and extends toward the gear box, the driven worm is provided with a second worm gear, an angle between the active worm and the driven worm is 90°, and the first worm gear is meshed with the second worm gear.

Abstract: A rapid cleaning system of milking cups in milking hall is provided. The rapid cleaning system includes a bottom plate, a supporting pipe fixed on the top of the bottom plate, a supporting positioning component fixed on the top of the supporting pipe, a lifting mechanism sliding sleeved with the supporting pipe, and a clamping and fixing mechanism connected to the outer ring of the supporting pipe and the supporting positioning component. A placing platform for the milking cup group is provided, in the process of placing the milking cup group, the milking cup group is cleaned and disinfected.

Abstract: Disclosed is a mobile phone clip, including: a clamping member, a supporting member, and a base. The clamping member is rotatably connected to the supporting member through a first rotating assembly, the supporting member is rotatably connected to the base through the second rotating assembly, and a third rotating assembly is provided on the base. The second rotating assembly is configured to rotate supporting member to adjust a pitch angle of the mobile phone, the base is provided with a third rotating assembly for connecting an external equipment, and the third rotating assembly is configured to horizontally rotate the base to change an orientation of the mobile phone.

Abstract: A method in a wireless device is provided. The method includes: receiving a downlink signal, wherein the downlink signal includes a Physical Downlink Control Channel (PDCCH) and a Physical downlink Shared Channel (PDSCH), the PDCCH having first downlink Control Information (DCI) indicating at least second downlink control information (DCI) in the PDSCH; and performing one of encoding and decoding user data in the PDSCH based on the first DCI and second DCI. A wireless device implementing this method is provided as well.

Abstract: A resource mapping method and apparatus are described that reduce resource mapping complexity. The method includes an access network device obtaining resource mapping information of at least one terminal, and sending the resource mapping information to the at least one terminal respectively. The resource mapping information indicates a resource element RE to which each of the at least one terminal performs mapping in each RMB in a first resource mapping block RMB set. An RE to which a first terminal performs mapping in each RMB in the first RMB set is determined based on a first interleaved sequence, and the first interleaved sequence is determined based on a base sequence. The first terminal is any one of the at least one terminal, and the first RMB set includes at least one RMB.

Abstract: The disclosure relates to a protein-type nanoparticle for multi-specific antibody delivery, a preparation method, and its application. The protein-type nanoparticle includes a polyester and a protein with a hydrophobic domain, and the hydrophobic domain of the protein is bound with the polyester through hydrophobic interactions. The protein is at least one of albumin, globulin and cell wall protein. The protein-type nanoparticle of the present disclosure has excellent stability and biocompatibility. The protein-type nanoparticle is used to prepare a multi-specific antibody delivery platform (?Fc-NP) by binding anti-IgG-Fc antibody or anti-IgG-Fc antibody fragment, which can stably, quickly and easily bind to multiple specific antibodies through antigen-antibody interaction and enhance the therapeutic effect of specific antibodies.

Abstract: The present disclosure relates to the technical field of lithium ion battery, and discloses a Lithium-Manganese-rich material and a preparation method and a use thereof.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that return query completions are provided. A user of a computing device like a mobile phone may enter a prefix. In turn, the prefix and location information associated with the device are transmitted to a server device. The server device receives the prefix and location information. The prefix and the location information are matched with names and locations of entities stored in a database connected to the server device. The server device transmits query completion data to the mobile device. The query completion data includes one or more names that complete the received prefix. The names provided by the server device may be associated with entities that are within a threshold radius of the location information.

Abstract: A pod deployment method is provided, to increase container deployment flexibility, and meet an access requirement of a user, including: A scheduler obtains requirement information and a pod annotation from an application management cluster. The requirement information includes a time period and a user quantity corresponding to the time period, and the pod annotation indicates a user quantity supported by a single pod. The scheduler determines, based on the user quantity corresponding to the time period and the user quantity supported by the single pod, a quantity M of pods that need to be deployed in the time period, and determines a target node used to deploy the M pods. The scheduler generates a deployment plan based on the quantity M of pods that need to be deployed in the time period and the target node used to deploy the M pods.