Abstract: Methods, systems, and devices for timing adjustments for data transmissions in mobile communication technology are described. An exemplary method for wireless communication includes determining, by the first device, a distance between the first device and the second device, and performing a transmission based on a timing adjustment that is determined using the distance. Another exemplary method for wireless communication includes broadcasting, by the second device, a location information of the second device, and receiving, from the first device, a transmission, where the first device is configured to communicate the transmission based on a timing adjustment that is determined using the distance, and where the distance is based on a location information of the first device and the location information of the second device.

Abstract: A method of preparing cathode particles using a co-precipitation reaction in a reactor is disclosed. A feed stream (a) containing metal cations is fed into the reactor, and a feed stream (b) containing anions is fed into the reactor, wherein a ratio of the metal cations in the feed stream (a) is continuously changed from A1 at time t1 to A2 at time t2. The feed stream (a) and the feed stream (b) are contacted in the reactor to form precipitated precursor particles, and at least one transition metal component in the particle has a non-linear continuous concentration gradient profile over at least a portion along a thickness direction of the particle.

Abstract: Methods, systems, and devices for transmitter-side processing of preamble and reference signals are described. An exemplary method for wireless communication includes transmitting, by a wireless device, a message comprising modified symbols that are generated by performing a modification on baseline symbols. Another exemplary method for wireless communication includes receiving, by a network node, a message comprising modified symbols that are generated by performing a modification on baseline symbols. In an example, the message may be a random access message that is part of a 2-step random access channel (RACH) process or a contention-based physical uplink shared channel (PUSCH) or physical uplink control channel (PUCCH) transmission.

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: Provided in the present application are a data processing method and apparatus based on data coding, and a device. The method comprises: performing N-channel error correction coding on data to be processed that is in information to be processed, so as to obtain N pieces of coded data to be processed; by using coded meta-channel data obtained by means of error correction coding, performing redundancy processing on the coded data to be processed, so as to obtain N pieces of response data; and then performing error correction decoding on the N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: The present application provides an instruction encoding-based data processing method and apparatus, and a device. N-path error correction encoding is performed on an instruction in information to be processed to obtain N encoded instructions, the encoded instructions and encoded meta channel programs obtained by the error correction encoding are used to perform redundant processing on data to be processed to obtain N pieces of response data, and then error correction decoding is performed on the N pieces of response data to obtain processing result information of the information to be processed. Because the N encoded instructions are heterogeneous and the encoded meta channel programs used in the N-path processing are heterogeneous, the randomness of the processing process can be improved, generalized disturbance in the data processing process can be corrected in combination with the error correction encoding and decoding methods, and thus the security of data processing is improved.

Abstract: Disclosed herein are an adhesion blocking element, a three-dimensional printing device and a three-dimensional printing method. The adhesion blocking element comprises: one light-transmittable main body comprising a first surface and a second surface which are disposed opposite to each other, and side faces connecting the first surface and the second surface; and a plurality of microstructures arranged on the main body, wherein each microstructure has one cavity formed in the main body and one first open face which is arranged on the first surface of the main body and communicated to the cavity. The present invention decreases the adhesion between the adhesion blocking element and the cured layer by improving the structure of the adhesion blocking element itself, and eliminates the negative pressure adsorption between the cured layer and the adhesion blocking element, so that it is easier to peel the adhesion blocking element off from the cured layer.

Abstract: A cross-coupling control method for moving beam of gantry machine tool is disclosed, which relates to the technical field of CNC machine tool control. The cross-coupling control method includes: Step 1: establishing a crossbeam dynamics model considering a ram on the crossbeam, and at the same time simplifying the model for an observer design; step 2: realizing a PID control parameter adjustment of motors at both ends in accordance with a method of parameter tuning of a unilateral servo control system; using a servo system with the same control parameters to jointly drive the crossbeam up and down, realizing the synchronous control and realizing PID control parameter tuning for both end motors. The disclosure not only reduces the synchronization error caused by the torsion of the crossbeam, but also solves the synchronization error caused by the asymmetric load on both sides, and improves the system robustness and stability.

Abstract: The present invention provides a mRNA composition for microneedle administration and its application. The composition includes an aqueous phase solution and a lipid solution, wherein the lipid solution encapsulates the substance in the aqueous phase solution to form lipid nanoparticles (LNPs), and the aqueous phase solution includes mRNA encoding the corresponding protein and a buffer. It was found that an improved buffer pH could substantially increase the drug loading capacity of LNPs, and reduce the use level of composition and excipients and the dose for microneedle administration with less toxic side effects and better therapeutic effects, and the microneedle administration technology could achieve increased effective expression, decreased expression in the liver, and prolonged in vivo expression of mRNA composition, and increased antibody titer in response to low-dose mRNA in vivo. The present invention really realizes microneedle intradermal administration of mRNA composition.

Abstract: The disclosure provides a method, a system and a storage medium for predicting power load probability density based on deep learning. The method comprises: S101, collecting power load data of a user, meteorological data and air quality data in a preset historical time period, and dividing the collected data into a training set and a test set; S102, determining a deep learning model for predicting power load; S103, inputting the test set into the deep learning model for predicting power load, and obtaining power load prediction data of the user at different quantile points in a third time interval; S104, performing kernel density estimation and obtaining a probability density curve of the power load of the user in the third time interval.

Abstract: The disclosure provides a method, a system and a storage medium for predicting power load probability density based on deep learning. The method comprises: S101, collecting power load data of a user, meteorological data and air quality data in a preset historical time period, and dividing the collected data into a training set and a test set; S102, determining a deep learning model for predicting power load; S103, inputting the test set into the deep learning model for predicting power load, and obtaining power load prediction data of the user at different quantile points in a third time interval; S104, performing kernel density estimation and obtaining a probability density curve of the power load of the user in the third time interval.