Abstract: A processing method, a communication device, and a storage medium. The processing method can enable a network device to enter an energy saving state in a case that a first preset condition is met, and specify a specific processing of the network device in the energy saving state, so as to better realize energy saving of the network device. After the network device enters the energy saving state, it can quickly switch the energy saving state of the network device according to the first preset condition or a second preset condition.

Abstract: A processing method includes: selecting or determining a number N of channel state information (CSI) s to be included within one CSI report based on downlink information, where N is greater than or equal to 1; and reporting the CSI report. The technical solution of the present application can solve the problem that if multiple CSIs corresponding to multiple antenna port numbers need to be reported, multiple CSIs reports must be reported at different times, which may result in multiple CSIs reporting and/or CSI expiration, thereby achieving the purpose of reducing the number of CSI reports and/or ensuring the timeliness of CSI.

Abstract: The technical solution of the present application generates or determines measurement resource configuration information of at least one channel state information reference signal based on downlink information, and provides a scheme for generating or determining measurement resource configuration information that can support dynamic adjustment of antenna ports, which can dynamically obtain channel state information of each antenna port to support network device to dynamically adjust antenna ports and/or reduce energy consumption of the network device.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires k-space data, classifies ACS data in the k-space data corresponding to each of a plurality of frames into a plurality of groups, generates a sensitivity map, performs an image space regularization process, and performs a data consistency process.

Abstract: A magnetic resonance image reconstruction method according to an embodiment is a magnetic resonance image reconstruction method for reconstructing magnetic resonance image data on the basis of undersampled k-space data and includes: generating second image data by performing a regularization process within an image space while using a first neural network on first image data generated on the basis of the undersampled k-space data; generating third image data by correcting the second image data so that a pixel value statistical feature of the second image data approximates a pixel value statistical feature of the first image data; and generating fourth image data by performing a data integrity process on the third image data so that k-space data corresponding to the third image data approximates the undersampled k-space data.

Abstract: An nucleic acid integrated detection method is provided, the method includes separating a lysis solution, a cleaning solution and a reaction solution in a detection reagent tube by providing a plurality of separation plugs in an over-under arrangement and disposing a hydrophobic layer in liquid or solid phase on each separation plug; adding a sample into the lysis solution; extracting nucleic acid in the sample using magnetic nanobeads; and then driving the magnetic nanobeads carrying the nucleic acid to sequentially pass through each hydrophobic layer along a magnetic bead channel and into the cleaning solution and the reaction solution to realize a cleaning and amplification for the nucleic acid, and finally, detecting the nucleic acid of the sample by an external device using an optical detection method, thus realizing a plurality of steps of nucleic acid extraction, cleaning and amplification reactions in the same detection reagent tube.

Abstract: An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.

Abstract: The present application provides a processing method, including: determining a first maximum transport block size according to cache information of service data, where the first maximum transport block size is less than or equal to a second maximum transport block size corresponding to a first device type; determining a buffer size of the service data according to the first maximum transport block size. Since the maximum transport block size is positively correlated with the buffer size of a terminal device, and for a reduced-capability device, the first maximum transport block size is less than or equal to the maximum transport block size corresponding to the first device type, the buffer size set by the reduced-capability device should be less than or equal to the buffer size of a terminal device of the first device type, which can reduce a waste of hardware resources of the reduced-capability device.

Abstract: An nucleic acid integrated detection reagent tube is provided, it includes a main tube and one or more branch tubes, wherein a lysing zone, a cleaning zone and a plurality of separation plugs comprising at least a least a separation plug and a second separation plug which are sequentially disposed, the first separation plug is used for separating the lysing zone and the cleaning zone, a reaction zone is provided in the branch tubes and the second separation plug is positioned at a connection between the branch tubes and the main tube or inside the branch tubes; hydrophobic layers in a liquid or a solid phase disposed at each of the plurality of separation plugs; and a magnetic bead channel for magnetically carrying the nucleic acid to sequentially pass through each hydrophobic layer penetrating to the branch tubes defined in an inner wall of the detection reagent tube.

Abstract: A magnetic resonance image reconstruction device according to an embodiment is a magnetic resonance image reconstruction device that reconstructs magnetic resonance image data in which an artifact due to undersampling is removed or reduced based on undersampled k-space data, and includes a reconstruction unit reconstructing the magnetic resonance image data using a reconstruction network having a correction module. The correction module includes a regularization block generating second image data by performing a regularization process on first image data using a first neural network, and a data consistency block generating third image data by performing a data consistency process so that k-space data corresponding to the second image data approaches the undersampled k-space data. The correction module further includes at least one of a data consistency adjustment block adjusting the data consistency process and a regularization adjustment block adjusting the regularization process.

Abstract: A paging transmission method includes selecting or determining a paging frame and/or a paging occasion where the paging is located based on a preset strategy; and receiving the paging according to the paging frame and/or the paging occasion, thereby realizing compact transmission of the paging frame and/or the paging occasion, and reducing the duration of the base station or the cell in the energy-saving state for sending paging during the entire paging cycle, thereby ensuring the sleep duration of the base station or the cell in the energy-saving state.

Abstract: An image segmentation apparatus according to an embodiment includes processing circuitry configured: to calculate a variable field-of-view mathematical function capable of adaptively generating fields of view having corresponding sizes, with respect to a plurality of segmentation targets included in an image; to generate patches having corresponding sizes, with respect to the plurality of segmentation targets, by using the variable field-of-view mathematical function; and to obtain a segmentation result of the plurality of segmentation targets, by carrying out an inference on the image while using a segmentation model trained with the patches.

Abstract: An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.

Abstract: A model training device according to an embodiment of the present disclosure includes processing circuitry. The processing circuitry is configured to obtain an initial learning model by learning a data set including medical images as learning data. The processing circuitry is configured to evaluate the initial learning model by using a global metric, so as to obtain error data sets each having an outlier from among a plurality of data sets used in the evaluation. The processing circuitry is configured to obtain a plurality of error data set groups by grouping the plurality of error data sets while using a local metric. The processing circuitry is configured to specify model training information with respect to each of the error data set groups.

Abstract: The present invention discloses a method for designing a refiner plate with three-stage radial curved bars, comprising following steps of: designing a circle arc for 1st stage radial curved bars; designing a circle arc for the 2nd stage radial curved bars; designing a circle arc for 3rd stage radial curved bars; and designing a center angle for the refiner plate according to the size of the refiner plate and the manufacture requirements, to complete the design of the refiner plate. In the present invention, by the establishment of equations for the circle arcs and angles of inclination of the curved bars, it is ensured that the width of the bars will not change in the radial direction, and both the flexibility in designing a curved refiner plate and the uniformity of crushing are improved. This design method provides a theory basis and also instructions for designing multi-stage radial curved bars.

Abstract: A method and apparatus for generating and utilizing spreading sequence codebooks for a symbol-level sequence spreading is disclosed. In one embodiment, a method performed by a wireless communication device, comprising: receiving a first number from a wireless communication node; selecting a first spreading sequence codebook from at least one spreading sequence codebook; selecting a first spreading sequence from the first spreading sequence codebook according to the first number; and spreading data symbols according to the first spreading sequence, wherein the at least one spreading sequence codebook each comprises a plurality of spreading sequences configured based on one entry of a first sequence set after cyclic shifting operation, wherein the first sequence set before cyclic shifting operation is configured based on a second sequence set.

Abstract: Optimizing the resource configuration or selection for grant-free contention-based non-orthogonal multiple access (NOMA) transmissions is an effective way to increase network capacity and reduce multi-user interference at the user equipment (UE). In some embodiments, a network node may determine the current traffic load, select multiple access (MA) sequences for the UE based on the determination, and transmit this selection to the UE for subsequent transmissions. In other embodiments, the UE may receive a message with an indication of the traffic load being experienced by the base station that the UE is attempting to connect to, and then may randomly select an MA sequence for subsequent transmissions.

Abstract: An nucleic acid integrated detection reagent tube is provided, it includes a main tube and one or more branch tubes, wherein a lysing zone, a cleaning zone and a plurality of separation plugs comprising at least a least a separation plug and a second separation plug which are sequentially disposed, the first separation plug is used for separating the lysing zone and the cleaning zone, a reaction zone is provided in the branch tubes and the second separation plug is positioned at a connection between the branch tubes and the main tube or inside the branch tubes; hydrophobic layers in a liquid or a solid phase disposed at each of the plurality of separation plugs; and a magnetic bead channel for magnetically carrying the nucleic acid to sequentially pass through each hydrophobic layer penetrating to the branch tubes defined in an inner wall of the detection reagent tube.

Abstract: An nucleic acid integrated detection method is provided, the method includes separating a lysis solution, a cleaning solution and a reaction solution in a detection reagent tube by providing a plurality of separation plugs in an over-under arrangement and disposing a hydrophobic layer in liquid or solid phase on each separation plug; adding a sample into the lysis solution; extracting nucleic acid in the sample using magnetic nanobeads; and then driving the magnetic nanobeads carrying the nucleic acid to sequentially pass through each hydrophobic layer along a magnetic bead channel and into the cleaning solution and the reaction solution to realize a cleaning and amplification for the nucleic acid, and finally, detecting the nucleic acid of the sample by an external device using an optical detection method, thus realizing a plurality of steps of nucleic acid extraction, cleaning and amplification reactions in the same detection reagent tube.

Abstract: An experimental system for studying a refining mechanism and characteristic of a refiner plate, including a disc refiner unit, a first storage tank, a second storage tank, a circulating pump, a pipeline system, a detection device for measuring process variables including flow, pressure and temperature, and a data acquisition and control system. An operation parameter control system is provided to control an operation state of valves at different positions of the pipeline system to achieve the switching of the operation mode of the experimental system. The data acquisition and control system is configured to collect the parameters at different detection points. A method for operating the experimental system is also provided.