Abstract: The present disclosure provides a method for sweat volume detection based on sweat print imaging, comprising: obtaining a raw data set, the raw data set including at least one sweat print image formed by dropping different volumes of sweat on a test paper under different environmental parameters; obtaining a color value extreme of the sweat print image and dividing the sweat print image into at least one region; calculating a sweat error based on a total sweat collection volume and a real sweat volume; obtaining a trained error prediction model; obtaining a to-be-tested sweat print image and current environmental parameters; inputting the current environmental parameters and a count of regions of the to-be tested sweat print image into the trained error prediction model to determine a sweat error of the to-be-tested sweat print image; calculating a sweat volume and a sweat rate based on the sweat error.

Abstract: Embodiments of this application provide a method for coding in a wireless communication network. A communication device interleave a first bit sequence to obtain a first interleaved sequence having sequence number starting with a sequence number of 0, wherein the first bit sequence comprises bits for indicating timing, wherein the bits for indicating timing comprises a set of bits for indicating synchronization signal block index (SSBI); wherein the set of bits for indicating SSBI are placed in positions indicated by sequence numbers of 2, 3 and 5 in the first interleaved sequence. The devices add d first CRC bits on the first interleaved sequence to obtain a second bit sequence, interleave on the second bit sequence according to an interleave pattern to obtain a second interleaved sequence, and polar encode the second interleaved sequence to obtain the encoded sequence.

Abstract: Embodiments of this application disclose a communication processing method, including: A first communication device determines a first tone reservation pattern. The first communication device communicates a data signal by using the first tone reservation pattern. The first tone reservation pattern is determined based on a first bandwidth part BWP, or the first tone reservation pattern is determined based on a first beam. The first bandwidth part is used for communicating the data signal between the first communication device and a second communication device, and the first beam is used for communicating the data signal between the first communication device and the second communication device. It can be learned that the first tone reservation pattern is more suitable for the first communication device and the second communication device.

Abstract: This application provides a TA determining method and apparatus for a terminal device. After receiving a TA adjustment parameter sent by an access network device and determining that a TA of the terminal device needs to be adjusted, the terminal device determines a TA scaling factor, a subcarrier spacing parameter, and a first TA, to jointly adjust the first TA to obtain a second TA. ATA adjustment parameter k is added when the terminal device determines the second TA, so that an adjustable range of the TA is larger. Therefore, the TA may be applied to determining the TA of the terminal device when the terminal device communicates with a satellite base station. In this way, the terminal device can adjust the TA when movement of a device is caused by both the terminal device and the satellite base station.

Abstract: A model training method and a related apparatus to help improve a convergence speed of model training and improve end-to-end communication quality. The method includes: a first communication apparatus sends first data to a second communication apparatus through a channel, where the first data is an output result of the first machine learning model. The second communication apparatus receives second data through a channel, inputs the second data into a second machine learning model to obtain third data; determines a first loss function based on the third data and the first training data; and sends the first loss function to the first communication apparatus through a feedback channel.

Abstract: This application relates to the field of wireless communications technologies, and discloses an encoding method and apparatus, to improve accuracy of reliability calculation and ordering for polarized channels. The method includes: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the first sequence is same as a second sequence or a subset of the second sequence, the second sequence comprises sequence numbers of Nmax polarized channels, and the second sequence is the sequence shown in Sequence Q11 or Table Q11, K is a positive integer, N is a positive integer power of 2, n is equal to or greater than 5, K?N, Nmax=1024; selecting sequence numbers of K polarized channels from the first sequence; and performing polar code encoding on K the to-be-encoded bits based on the selected sequence numbers of the K polarized channels.

Abstract: A polar code construction method and an apparatus. A communication apparatus obtains a reliability weight sequence, and determines a first threshold that indicates a weight of lowest reliability of a subchannel corresponding to an information bit. The communication apparatus determines a non-pre-frozen subchannel corresponding to a content value greater than or equal to the first threshold in the reliability weight sequence as the subchannel corresponding to the information bit based on the first threshold, and performs polar coding on the information bit based on the subchannel corresponding to the information bit.

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: The invention provides methods for isolating RNA from the soluble fraction of urine. The methods can be used for detecting the presence or absence of an RNA, or quantifying the amount of an RNA. The methods are useful for diagnosing an individual suspected of having a disease by detecting the level of RNA associated with the disease in the soluble fraction of urine. The methods are also useful for prognosing an individual diagnosed with a disease by detecting the level of RNA associated with the disease in the soluble fraction of urine.

Abstract: A GAN training method, a machine learning system, and a communication apparatus are provided, which relate to the field of communication technologies and AI. The machine learning system includes a first device and a second device, where a first GAN runs on the first device, a second GAN runs on the second device, the first GAN includes a first generator and a first discriminator, and the second GAN includes a second generator and a second discriminator.

Abstract: This application provides a HARQ feedback method and an apparatus. The method includes: A terminal device receives first indication information, where the first indication information indicates a first quantity of retransmissions of first data. The terminal device obtains a second quantity of retransmissions based on a HARQ feedback result and/or a decoding result of second data, where the second data is data retransmitted by the terminal device before the terminal device retransmits the first data. The terminal device sends the first data by using a target quantity of retransmissions, where the target quantity of retransmissions is a smaller one of the first quantity of retransmissions and the second quantity of retransmissions. According to the method, data transmission is performed by using the determined target quantity of retransmissions, so that a delay caused by a HARQ can be reduced, resources can be saved, and power consumption can be reduced.

Abstract: A wind resistance reducing device of a bicycle is disclosed. The wind resistance reducing device includes a windward member, a pasting body and a baking paint layer; one side of the pasting body is a pasting side, and other side of the pasting body is a windward side, and the pasting body includes a pasting layer disposed on the pasting side, and a plurality of granular parts protruded on the windward side. The pasting layer of the pasting body is pasted on the front side of the windward member, so that as least part of the plurality of granular parts face toward a traveling direction of the bicycle. The baking paint layer coats the windward member and the pasting body, and the baking paint layer forms a guide angle corresponding to the position of the gap between the windward member and the pasting body.

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 present disclosure provides example satellite communication method, terminal device, and computer-readable storage medium. One example method includes receiving a first system message sent by a first satellite, where the first system message indicates a mean anomaly of the first satellite at an ephemeris reference time. A topology of a satellite network to which the first satellite belongs is determined based on the first system message.

Abstract: The present disclosure relates to a method for modifying polyester by a swelling agent combined with cutinase, belonging to the technical field of textile processing. According to the method, a phenol solution or an o-vanillin solution is used as the swelling agent to perform swelling treatment on the polyester, and combined with a Humicola insolens cutinase solution to perform hydrophilic modification on the polyester, which not only significantly improves the release amount of hydrolysates, but also reduces the fabric mass loss compared with the traditional chemical modification method.

Abstract: The present disclosure relates to artificial intelligence (AI) operation processing methods apparatuses. One example method includes obtaining a first group identifier, obtaining a trigger message sent by a network device, where the trigger message includes first control information, the first control information indicates a first time-frequency resource, the first time-frequency resource carries N pieces of first scheduling information, each of the N pieces of first scheduling information includes a respective second group identifier and respective AI operation information and indicates a terminal device in a user group indicated by the respective second group identifier to perform an AI operation corresponding to the respective AI operation information, determining target AI operation information when the first group identifier matches a target group identifier, and starting a target AI operation based on the target AI operation information.

Abstract: An information transmission method and an apparatus. The information transmission method includes: a receive end sends first indication information, where the first indication information indicates a target receiving mode of the receive end, and the target receiving mode is one of a plurality of receiving modes. The receive end receives service information based on the target receiving mode. The receive end performs decoding processing on the service information based on the target receiving mode. In this way, power consumption can be further reduced, and information transmission of a plurality of service types can be supported, thereby improving information transmission flexibility and user experience.

Abstract: A first machine learning model is deployed in a first communication apparatus, and a second machine learning model is deployed in a second communication apparatus. First information is obtained that carries indication information of both a first transmission resource and a second transmission resource, wherein the first transmission resource is for the first communication apparatus to transmit a first output of the first machine learning model to the second communication apparatus, and wherein the second transmission resource is for the first communication apparatus to receive first feedback data that is from the second communication apparatus. The first feedback data includes a first gradient, wherein the first gradient is for updating the first machine learning model. The first communication apparatus transmits the first output to the second communication apparatus on the first transmission resource.

Abstract: Embodiment techniques map parity bits to sub-channels based on their row weights. In one example, an embodiment technique includes polar encoding, with an encoder of the device, information bits and at least one parity bit using the polar code to obtain encoded data, and transmitting the encoded data to another device. The polar code comprises a plurality of sub-channels. The at least one parity bit being placed in at least one of the plurality of sub-channels. The at least one sub-channel is selected from the plurality of sub-channels based on a weight parameter.