Abstract: This application provides a communication method. The method includes: A first communication apparatus obtains first configuration information, and performs carrier aggregation communication on at least two transmit carriers based on the first configuration information. The first configuration information indicates the first communication apparatus to perform carrier aggregation communication on the at least two transmit carriers, the at least two transmit carriers include a first transmit carrier and a second transmit carrier, the first transmit carrier corresponds to a first communication standard, the second transmit carrier corresponds to a second communication standard, and the first communication standard is different from the second communication standard.

Abstract: Disclosed is a DFOS placement procedure for multi-channel sensors we call “modified Explore aNd Pick” (mEnP) procedure, which helps network carriers deploy new types of DFOS sensors (e.g., each DFOS sensor is associated with multiple sensing fiber routes/channels) to cover/sense entire network infrastructures with a minimum number of DFOS sensors while advantageously providing network carriers 1) locations where to deploy DFOS sensors and, (2) how to establish sensing fiber routes/channels from the deployed sensors. Our inventive procedure includes two sub-procedures. The first sub-procedure adopts a modified route exploration method to obtain a set S that contains all the possible sensor placements and the corresponding sensing fiber routes/channels at each node in the given network infrastructure. A second sub-procedure applies a modified greedy set cover method to find the minimum subset from S that can cover all the network links in the given network infrastructure.

Abstract: This disclosure provides systems, methods, and devices for wireless communication that support configuring associations between system information of at least one downlink (DL) anchor carrier and at least one random access channel (RACH) occasion (RO) of an uplink (UL) anchor carrier for initial access in flexible multicarrier operations. System information may be transmitted by a base station to a UE over the DL anchor carrier. In aspects, the at least one DL anchor carrier may be mapped to an UL anchor carrier, or to one or more candidate UL anchor carriers from which the UE may configurably select the UL anchor carrier, for initial access operations. In aspects, the UL anchor carrier and/or the one or more candidate UL anchor carriers may be respectively associated with one or more ROs. The UE may perform initial access operations over the UL anchor carrier using the associated one or more ROs.

Abstract: The present disclosure provides a system for disinfecting fluid comprising a cylindrical outer electrode defining an internal cavity and a center electrode positioned within the cavity. The center electrode extends along the longitudinal axis and comprises an inner wire and outer shell surrounding the wire. An inlet at the first end allows fluid to enter the cavity. An outlet at the second end allows fluid to exit. A voltage source applies voltage across the electrodes. The outer electrode comprises copper and inner wire comprises stainless steel. The outer shell comprises copper electrodeposited from the outer electrode. First voltage polarity results in electrodeposition from outer electrode to outer shell, while opposite polarity results in ionization of the outer shell metal for disinfection.

Abstract: The present invention discloses a primer combination for KASP markers used in the identification of Elymus sibiricus germplasm resources and application thereof, belonging to the technical field of the biotechnology. The primer is designed to amplify 31 SNP sites. Nucleotide sequences of KASP-SNP primers are provided sequentially as SEQ ID NOs: 1-93. Using the primer, the genetic distance matrix and phylogenetic tree of Elymus sibiricus germplasm can be constructed to determine genetic relationships among individuals. It can be applied to screen materials required for the Elymus sibiricus research and utilization, such as core germplasm construction, breeding population screening and genetic diversity studies, etc. The method provided by present invention offers advantages of high throughput, high accuracy, low cost, simplicity of operation and savings in manpower and material resources, and thus has broad application prospects.

Abstract: A bottle-mouth package permeability test system includes: a bottle-mouth mold group, a permeation amplifying cavity, a carrier gas assembly, a to-be-tested gas assembly, a pressure regulating assembly, a temperature regulating assembly, and a detection assembly. The carrier gas assembly allows a carrier gas to circulate in the bottle-mouth mold group connected in series on the carrier gas assembly. The to-be-tested gas assembly allows a to-be-tested gas to flow in the permeation amplifying cavity connected in series on the to-be-tested gas assembly. The pressure regulating assembly can regulate pressure states of the carrier gas outputted by the carrier gas assembly and the to-be-tested gas outputted by the to-be-tested gas assembly. The temperature regulating assembly can regulate temperature states of the carrier gas and the to-be-tested gas. The detection assembly is in communication with an exhaust end of the carrier gas assembly.

Abstract: A communication method and apparatus relating to the field of communication technologies are provided, to resolve problems of high latency in transition from downlink receiving to uplink sending and a waste of resources. The method may include: The communication apparatus determines a first symbol, where the first symbol includes a first interval, and further includes a second interval and/or a third interval, the first interval is used for transition from downlink transmission to uplink transmission and serves as a reserved resource or a guard period, the second interval is used for uplink transmission, and the third interval is used for downlink transmission; and sending first indication information, where the first indication information indicates the first symbol.

Abstract: Provided are methods for generation of representations of radar data. Some methods described include: receiving ADC raw data of a radar sensor of a vehicle; performing range FFT, Doppler FFT, and azimuth FFT on the ADC raw data; generating a 1D range heat map tensor representing the range FFT, a 2D RD heat map tensor representing a combination of the range FFT and the Doppler FFT, a 2D RA heat map tensor representing a combination of the range FFT and the azimuth FFT, or a 3D RAD matrix tensor representing a combination of the range FFT, the Doppler FFT, and the azimuth FFT; and inputting at least one of the 1D range heat map tensor, the 2D RD heat map tensor, the 2D RA heat map tensor, or the 3D RAD matrix tensor, to a machine learning model for detecting objects on a road network around the vehicle.

Abstract: A distributed fiber optic sensing (DFOS) system and method employing a fiber optic sensor cable that autonomously collects DFOS data and employs artificial intelligence/machine learning (AI/ML) to distinguish sections of the fiber optic sensor cable that are above ground (aerial), below ground (buried), and buried but occasionally above ground, in addition to any change(s) that occur with respect to the fiber optic sensor cable at such sections.

Abstract: A cell synchronization method, an apparatus, a device, and a storage medium are provided. The method includes: determining first information, where the first information includes first synchronization information, the first synchronization information is used by a first communication device to perform cell synchronization, second synchronization information in the first synchronization information is used by a second communication device to perform cell synchronization, and a type of the first communication device is different from a type of the second communication device. A first apparatus sends the first information. After sending the first synchronization information to the first communication device, the first apparatus does not separately send the second synchronization information to the second communication device. This reduces signaling overheads during cell synchronization, and further improves communication performance.

Abstract: User feedback in memory training startup sequences is described. In one or more implementations, a system includes a plurality of memory circuits configured as a system memory, and at least one processing circuit. The processing circuit executes platform initialization code configured to partially train a subset of memory circuits from a plurality of memory circuits during an initial stage of a startup sequence, and fully train each memory circuit of the plurality of memory circuits during a subsequent stage of the startup sequence. The processing circuit further executes basic input output system code configured to use the subset of memory circuits to output user feedback during the initial stage, and use the system memory to complete the startup sequence during the subsequent stage.

Abstract: The present invention discloses a low-swelling decellularized cornea, its preparation method, and applications. The decellularized cornea is obtained by incorporating methacrylated compounds into a decellularized corneal matrix. The decellularized cornea exhibits thermosensitive and photopolymerizable properties, capable of exuding monomer polymers at temperatures above 25° C. and forming a stable biological adhesion layer on the recipient bed through photopolymerization. The decellularized cornea features abundant material sources and enables rapid trauma repair without surgical sutures.

Abstract: A model training method includes: a communication apparatus receives first information, where the first information indicates an input data set of an lth layer of an intelligent model and a gradient accumulation factor set corresponding to the lth layer, and l is a positive integer. The communication apparatus determines, based on the input data set of the lth layer and the gradient accumulation factor set corresponding to the lth layer, a gradient set corresponding to the lth layer, where one gradient accumulation factor in the gradient accumulation factor set is used to determine multiple gradients in the gradient set, and the gradient set is used to determine the intelligent model.

Abstract: Disclosed is an apparatus including an input interface. The input interface is configured to obtain input sensor data. For example, the input sensor data includes light detection and ranging (LiDAR) data indicative of an environment. The apparatus includes a pre-processor communicatively coupled to the input interface. The pre-processor optionally includes a parser logic. The pre-processor includes a decoder communicatively coupled to the parser logic. The segmentation logic is configured to parse the input sensor data. The decoder is configured to decode the parsed input sensor data. The pre-processor is configured to provide the decoded input sensor data and the parsed input sensor data to a processor for fusion.

Abstract: A distributed forwarding sensing system and method for multi-event localization and high-fidelity acoustic waveform reconstruction in which the method includes modeling a bi-directional distributed forwarding sensing scheme as an equivalent dual-element sensor array (SA2), where an event location (z) along a fiber is mapped to a direction-of-arrival (DOA) angle (?). Signals from first and second receivers are transformed into the time-frequency domain. Generalized Cross-Correlation with Phase Transform (GCC-PHAT) is used to accurately localize multiple simultaneous events by estimating a time shift (??). An adaptive beamforming technique, such as a Generalized Sidelobe Canceller (GSC), is then steered toward the desired event location to enhance the acoustic signal and mitigate noise and interference from other locations along the fiber, resulting in a high-fidelity reconstructed acoustic waveform suitable for machine learning classification.

Abstract: A system and method for Distributed Fiber Optic Sensing (DFOS) recognition and adaptation, which utilizes a memory-augmented neural network (MANN) and a disaggregated computing infrastructure (DCI) to achieve double privacy protection. The system separates the feature extraction encoder on a client-side machine from an external memory bank and similarity-based classification module on a server-side machine. In operation, the client computes an embedding from raw sensing data and transmits only the embedding vector to the server. The server performs classification and, during model fine-tuning, calculates and returns a gradient vector with respect to the embedding. This architecture ensures proprietary training data on the server is never exposed, while client raw sensing data remains private. The system supports continuous model adaptation and robust class-incremental learning.

Abstract: A generative Artificial Intelligence (AI) framework is presented based on a conditional diffusion model for distributed acoustic sensing (DAS) data imputation. The proposed model, named “DiffOptics,” is capable of generating high-quality fiber sensing data by learning the distribution of existing acoustic sensing data and conditioning on an adjacent acoustic sensing signal. DiffOptics is designed to address two critical challenges in abnormal acoustic event detection: (1) DAS data imputation to enhance spatial resolution for more accurate event analysis and reduced data storage, and (2) the generation of synthetic DAS data to improve the performance of machine learning models for recognizing hazardous events.

Abstract: A novel, two-stage Distributed Fiber Optic Sensor (DFOS) placement strategy and method that ensures resilient monitoring of critical infrastructure during electrical power supply failures. This strategy and method combines a heuristic algorithm, PURE (Power Source-aware Route Exploration), with Integer Linear Programming (ILP) optimization. The PURE algorithm explores potential DFOS routes while explicitly considering the dependency of DFOS devices on the electrical power distribution network, ensuring routes electrically powered by the same electrical power feeder are disjoint. Subsequently, the ILP selects the optimal set of DFOS placements to minimize the total number of deployed sensors while meeting critical infrastructure monitoring requirements, such as redundant monitoring for high-importance links. The method enhances the observability of critical links, achieving 100% monitoring coverage for important links during simulated power outages affecting an electric feeder.

Abstract: Techniques are described for synthesizing images with multiple input modalities. According to some embodiments, a user interface is displayed. The user interface comprises an input area operable to display one or more inputs corresponding to one or more input modalities, an output area operable to display an output image generated based on the one or more inputs, and at least one control operable to select which ones of the one or more input modalities should influence generation of the output image.

Abstract: An in-oil autonomous operation detection robot of a storage tank bottom plate and an autonomous operation detection method are provided. The in-oil autonomous operation detection robot of the storage tank bottom plate includes a motion module, a positioning and attitude recognition module, an obstacle avoidance module, a detection module and a control module, wherein the motion module is configured to adjust and control a motion direction, a speed and an attitude of the robot under the control of the control module; the positioning and attitude recognition module is configured to recognize a position and an attitude of the robot under the control of the control module; the obstacle avoidance module is configured to avoid obstacles under the control of the control module; and the detection module is configured to detect corrosions of the bottom plate.