Abstract: A method and a system for monitoring abnormal state of swines based on edge computing are provided, including a data acquisition and processing module, an edge computing gateway, a cloud server and a client, where the data acquisition and processing module includes a microphone array, a digital signal processing module, a power amplification module, a power supply module and a communication module; the microphone array is used to acquire and store audio data collected in the pigsty; after being processed by the data processing module, the audio data is transmitted to the edge computing gateway through the communication module; the edge computing gateway identifies and locates the abnormal sound in the pigsty, and sends the result to the cloud server; the cloud server stores the data, establishes an early warning model of the swine abnormal state, and sends the early warning information to mobile phone or computer client.

Abstract: A communication device includes an NTN communication unit configured to connect to a non-terrestrial network, a sensor unit, and a control unit. The control unit is configured to: acquire, via the sensor unit, presence information regarding a range of presence of an obstruction in space including an outgoing or incoming direction of radio waves during communication via the NTN communication unit; and performs a process based on a line of sight in which the radio waves are transmittable and receivable between the NTN communication unit and the non-terrestrial network in the space, the line of sight being estimated from the acquired presence information.

Abstract: Linker-drug compounds and antibody-drug conjugates that bind to human oncology targets are disclosed. The linker-drug compounds and antibody-drug conjugates comprise a splicing modulator drug moiety. The disclosure further relates to methods and compositions for use in the treatment of neoplastic disorders by administering the antibody-drug conjugates provided herein.

Abstract: Embodiments of this application provide a voice signal output method and an electronic device. The method includes: generating a first voice signal as an interfering signal based on a downlink voice signal; generating a second voice signal by performing delay processing on the downlink voice signal, where the second voice signal has a same delay as the first voice signal; and at a same output time, outputting the second voice signal using a first sound production assembly close to a human ear, and outputting the first voice signal using a second sound production assembly far from the human ear. This masks the downlink voice signal with the interfering signal, preventing others from clearly hearing the call content of the user and protecting user privacy.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a first message that indicates an inter-band carrier aggregation configuration. The inter-band carrier aggregation configuration may identify a set of carriers for carrier aggregation communication between the UE and a network entity. The UE may receive a second message that indicates a random access procedure configuration. The random access procedure configuration may include a rule pertaining to whether RACH messages may be transmitted over multiple carriers, a mapping of multiple of RACH occasions to at least one SSB index, and a repetition number that indicates a quantity of RACH message repetitions for transmission by the UE. The UE may transmit the quantity of RACH message repetitions based on the mapping. The quantity of RACH messages may be transmitted over one carrier or over the multiple carriers of the set of carriers based on the rule.

Abstract: The present invention belongs to the technical field of biomedicine. The present invention provides a Lacticaseibacillus rhamnosus GOLDGUT-L818, which has been preserved at China General Microbiological Culture Collection Center, abbreviated as CGMCC, on Dec. 18, 2023. The preservation number is: CGMCC No. 29348, and the preservation address is: Building 3, Courtyard 1, Beichen West Road, Chaoyang District, Beijing. The strain of the present invention has the functions of treating chronic fatigue syndrome and irritable bowel syndrome.

Abstract: The present disclosure provides an anode material and a lithium ion battery. The anode material comprises a composite, and the composite comprises a carbon matrix and an active material located in the carbon matrix, the active material comprises primary particles and/or agglomerates and aggregates, and a proportion of the aggregates in a total number of the primary particles, the agglomerates and the aggregates is smaller than or equal to 30%. According to the anode material and the lithium ion battery provided by the present disclosure, the volume expansion of the anode material can be reduced, and the rate performance and the cycle stability of the anode material are improved.

Abstract: In accordance with at least selected embodiments, a battery separator or separator membrane comprises one or more co-extruded multi-microlayer membranes optionally laminated or adhered to another polymer membrane. The separators described herein may provide improved strength, for example, improved puncture strength, particularly at a certain thickness, and may exhibit improved shutdown and/or a reduced propensity to split.

Abstract: Examples described herein relate to a network interface device. In some examples, the network interface device includes a host interface; a direct memory access (DMA) circuitry; a network interface; and circuitry. The circuitry can be configured to: apply, for a tunnel packet, a single match-action rule that comprises a value of the encapsulation header of the tunnel packet and a value of the encapsulated header, wherein the single match-action rule is based on two or more match-action rules.

Abstract: Provided in embodiments of the application are model training methods and apparatuses. A model training method includes: a first device generating a plurality of pieces of sample data on the basis of a first codebook of a precoding matrix; the first device training an initial channel state information (CSI) feedback model on the basis of the plurality of pieces of sample data to obtain a CSI feedback meta-model. The CSI feedback meta-model is used for training a target CSI feedback model, and the target CSI feedback model is used for encoding CSI obtained by a signal receiving end and restore the encoded CSI at a signal transmitting end. Further provided in the embodiments of the application are a sample data generation method and apparatus.

Abstract: The disclosure belongs to the technical field of well completion engineering in oil and gas engineering, and particularly relates to a high-flow-conductivity proppant and its preparation method. The high-flow-conductivity proppant includes dumbbell-shaped framework granules and an oil-soluble film coating layer coated on the surfaces of the framework granules; the oil-soluble film coating layer melts when meeting oil at the temperature of 30-120° C. The high-flow-conductivity proppant prepared by the method has low bulk density, and the problems that the traditional proppant cannot be transported to the far end of a crack, has poor flow conductivity and the like can be effectively solved.

Abstract: Determining whether synthetic data is sufficient for utilization in connection with one or more machine learning models. The computing device accesses a protected batch of data associated with a machine learning model. The computing device accesses a simulated batch of data, the simulated batch of data based upon but anonymizing the protected batch of data. The computing device accesses one or more comparisons of one or more variables in the protected batch of data and the simulated batch of data to obtain a similarity value. The computing device performs a machine learning function utilizing at least in-part the simulated batch of data if the similarity value exceeds a similarity threshold.

Abstract: A method is provided that includes: obtaining first urban data of a first sample urban region; inputting the first urban data into a multi-modal foundation model to obtain respective predicted vector representations of a plurality of first data segments; obtaining a plurality of general-purpose foundation models that are pre-trained; for each general-purpose foundation model: generating a vector representation label of a first data segment of a corresponding data modality by using the general-purpose foundation model; and determining a knowledge distillation loss of the general-purpose foundation model based on the vector representation label and a predicted vector representation of the first data segment; and adjusting parameters of the multi-modal foundation model based on at least respective knowledge distillation losses of the plurality of general-purpose foundation models.

Abstract: A text processing model training method, and a text processing method and apparatus in the natural language processing field in the artificial intelligence field are disclosed. The training method includes: obtaining training text; separately inputting the training text into a teacher model and a student model to obtain sample data output by the teacher model and prediction data output by the student model; the sample data includes a sample semantic feature and a sample label; the prediction data includes a prediction semantic feature and a prediction label; and the teacher model is a pre-trained language model used for text classification; and training a model parameter of the student model based on the sample data and the prediction data, to obtain a target student model. The method enables the student model to effectively perform knowledge transfer, thereby improving accuracy of a text processing result of the student model.

Abstract: Embodiments of this application describe a communication method, a first station (STA), a second STA, and an access point (AP). One example method includes: determining, by a first STA, a first basic service set (BSS) color; generating, by the first STA, a data frame when the first station STA and a second STA perform D2D transmission, where the data frame includes the first BSS color; and sending, by the first STA, the data frame to the second STA.

Abstract: Apparatus, methods, and computer program products for wireless communication are provided. An example method may include receiving, from a network node, a first stage downlink control information (DCI) associated with a second stage DCI, where the first stage DCI comprises information regarding a set of time and frequency resources associated with a physical downlink shared channel (PDSCH), and where the second stage DCI includes decoding information associated with the PDSCH. The example method may further include receiving, from the network node based on the information regarding the set of time and frequency resources, a transmission including the second stage DCI and the PDSCH, where the second stage DCI is multiplexed with the PDSCH, and where the second stage DCI is overlapping in time with the PDSCH. The example method may further include decoding the PDSCH based on the second stage DCI.

Abstract: Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for dynamic communication configuration for subnetworks. In example embodiments, a device receives, from a plurality of subnetworks, a plurality of received signal strength indications. Then, the device updates, at least in part based on the plurality of received signal strength indications, a plurality of communication configuration models for the plurality of subnetworks. Further, the device transmits, to the plurality of subnetworks, a plurality of sets of parameters associated with the plurality of communication configuration models to enable respective communication configurations to be determined in the plurality of subnetworks.

Abstract: The present disclosure is directed to freestanding films for a lithium-metal-anode comprising a 2D arrays of nanocrystals of a transition metal nitride, carbide, or mixture and optionally a MXene as a conductive binder, and methods of making and using the same.

Abstract: A preparation method of a carbon-free Fe7Se8-based electrode material for Na+-storage anode and its application are provided. The presented method includes: dissolving ferric chloride and ammonium dihydrogen phosphate in deionized water at a room temperature, then stirring and transferring into an autoclave to perform the hydrothermal reaction, obtaining a spindle-shaped Fe2O3 after washing and drying processes; grinding and mixing the prepared Fe2O3 with a selenium powder combined with the sodium hypophosphite hydrate, which are placed in the different regions of a tube furnace. After heating treatment, the Fe7Se8/Fe3 (PO4)2 Na+-storage anode is obtained. The material prepared by the proposed method is applied as a highly efficient Na+-storage anode with long cycle stability and high-rate performance, effectively avoiding the crushing of active components caused by the large volume expansion of the electrode in the charging/discharging process, and improving the cycle life of the battery.

Abstract: Disclosed are a staircase matrix code and a highly parallel low-latency ordered statistics decoding (OSD) method thereof. The staircase matrix code may be divided into a staircase generator matrix code and a staircase parity-check matrix code, and a corresponding generator matrix or parity-check matrix thereof has a staircase structure, or has a staircase structure after row and column permutation. Based on the special staircase structure, special highly parallel low-latency OSD can be employed to decode the staircase matrix code. Specifically, at least one reliable bit is selected from bits corresponding to each staircase to constitute an extended reliable basis, then a corresponding generator matrix or parity-check matrix has an upper triangular or lower triangular structure. Under the special triangular structure, parallel Gaussian elimination of all rows can be implemented, and then re-encoding and the like are executed to complete decoding.