Abstract: A cell sorting system is provided to comprise: an imaging device including a beam scanner scanning a beam along a first direction to obtain a cell image data including fluorescent information or cell image information of a cell, the beam applied to the cell flowing in a channel along a second direction with an angle to the first direction; a data processing and control device in communication with the imaging device, the data processing and control device including a processor configured to process the cell image data obtained by the imaging device to determine one or more properties associated with the cell from the processed cell image data and to produce a control command based on a comparison of the determined one or more properties with a sorting criteria, wherein the control command is produced during the cell flowing in the channel and is indicative of a sorting decision determined based on one or more cellular attributes ascertained from the cell image data; and a cell sorting device in communication

Abstract: A cell sorting system is provided to comprise: an imaging device including abeam scanner scanning abeam along a first direction to obtain a cell image data including fluorescent information or cell image information of a cell, the beam applied to the cell flowing in a channel along a second direction with an angle to the first direction; a data processing and control device in communication with the imaging device, the data processing and control device including a processor configured to process the cell image data obtained by the imaging device to determine one or more properties associated with the cell from the processed cell image data and to produce a control command based on a comparison of the determined one or more properties with a sorting criteria, and a cell sorting device in communication with the imaging device and the data processing and control device.

Abstract: Provided is a program, etc. capable of acquiring information related to an amount of body tissue from an X-ray image with high accuracy using a small number of cases. A computer acquires training data including an X-ray image of a target site and information related to an amount of body tissue obtained from a CT (Computed Tomography) image of the target site. The computer generates a learning model configured to output information related to an amount of body tissue of a target site in an X-ray image when the X-ray image is input using acquired training data.

Abstract: Provided are a protein comprising a PD-L1 binding moiety linked to a TGF R binding moiety, an IL-1 binding moiety, an immunostimulating polypeptide (such as soluble LAG3 or soluble CD4) or a CD47 binding moiety, and a pharmaceutical preparation thereof, a preparation method thereof and the use thereof.

Abstract: Embodiments of this disclosure disclose an uplink transmission method and apparatus, a device, and a storage medium. The uplink transmission method is applied to a terminal device. The uplink transmission method includes: receiving indication information sent by a network device, where the indication information is used to indicate that a plurality of first uplink transmissions satisfy a quasi co-location relationship; and performing the plurality of first uplink transmissions based on the indication information.

Abstract: A DCI parsing method, a dynamic waveform switching determining method, an uplink receiving determining method, an apparatus, a terminal, and a network-side device. The DCI parsing method in an embodiment of this application includes: receiving, by a terminal, a first DCI from a network-side device, where the first DCI is used to schedule a first physical uplink shared channel PUSCH, and the terminal is a terminal with dynamic waveform switching capability or a terminal with dynamic waveform switching capability enabled; parsing, by the terminal, the first DCI according to a first preset rule; and determining, by the terminal, a transmission position of the first PUSCH based on a parsing result of the first DCI.

Abstract: The online detection system for type identification and activity measurement of radiations in gas or liquid is provided, which can capture the light signals generated by different radiations in real time, and convert the light signals into the electrical signals, so as to realize the online type identification and activity measurement of the radiations based on the waveforms and the time information of the electrical signals of the different radiations. In addition, based on the characteristic that different radiations have different penetration capabilities, the inner-outer two-layer activity measurement structure is designed, which can discriminate the radiations with the same waveform. Therefore, the present disclosure simplifies the radiation activity measurement process, thereby greatly improving the efficiency of the radiation activity measurement.

Abstract: This application discloses a receiving method, including determining, by a terminal, a receiving manner of a control object based on a target measurement value. The receiving manner includes any one of the following receiving the control object by using a first receiver in the terminal, receiving the control object by using a second receiver in the terminal, and not receiving the control object. The control object includes at least one of the following a control signal or a control channel; and the target measurement value is used to indicate quality of a current channel.

Abstract: The invention provides a method for constructing a target prediction model in a multicenter small sample scenario and a prediction method. In combination with the idea of transfer learning, a training set of a new node is predicted by directly using knowledge of a trained node, and a prediction error sample is used to reflect a difference between the new node and the trained node. The difference is used as supplementary knowledge. Model knowledge of the new node is quickly acquired, to avoid training of a new node from scratch each time. Finally, parallel integration of incremental subclassifiers is implemented by using a ridge regression method, so that the deployment time and costs are greatly reduced. The generalization of models is ensured through sharing of historical knowledge and a knowledge discarding mechanism, good classification effect can also be achieved for a node with a small sample size.

Abstract: This application discloses a method and apparatus for backscatter signal transmission, a communication device, and a readable storage medium. The method includes: determining, by a tag based on first information, a parameter related to transmission of a backscatter signal; where the first information includes at least one of the following: a first identifier, where the first identifier includes an identifier of the tag or a temporary identifier of the tag; a first value, where the first value is used to indicate a random number generated by the tag; a second value, where the second value is used to indicate a counter value of the tag; a third value, where the third value is used to indicate a counter step of the tag; a group identifier or intra-group identifier of the tag; a session number or a process number; or information received from a reader/writer.

Abstract: This application discloses a method for waveform switching, a device, and a chip. The method includes: The terminal receives a first downlink control information (DCI) from a network device, where the first DCI is used to schedule physical channels of a plurality of cells; and the terminal uses pre-configured waveforms of the physical channels of the plurality of cells, where when the first DCI is used to schedule the physical channels of the plurality of cells, the terminal does not support dynamic waveform switching.

Abstract: The invention provides a method for constructing a target prediction model in a multicenter small sample scenario and a prediction method. In combination with the idea of transfer learning, a training set of a new node is predicted by directly using knowledge of a trained node, and a prediction error sample is used to reflect a difference between the new node and the trained node. The difference is used as supplementary knowledge. Model knowledge of the new node is quickly acquired, to avoid training of a new node from scratch each time. Finally, parallel integration of incremental subclassifiers is implemented by using a ridge regression method, so that the deployment time and costs are greatly reduced. The generalization of models is ensured through sharing of historical knowledge and a knowledge discarding mechanism, good classification effect can also be achieved for a node with a small sample size.

Abstract: A transmission method includes receiving, by a terminal, first signaling sent by the network-side device. The first signaling includes at least one of the following dynamic waveform switch enabling indication information, used for enabling dynamic waveform switch; or waveform indication information, used for indicating a switched waveform.

Abstract: An apparatus for determining a time domain window, a terminal, and a readable storage medium. The method for determining a time domain window in embodiments of this application includes: determining, by a terminal, a second time domain window in a first time domain window based on first information. The terminal maintains a first transmission characteristic in the second time domain window for target uplink channel repetitions. The first information includes power control information used for each target uplink channel transmission in the target uplink channel repetitions. The first time domain window is a nominal time domain window configured by a network-side device. The first transmission characteristic is a transmission characteristic with consistent power and continuous phase.

Abstract: The present disclosure provides herein conjugates of anti-CLDN18.2 antibodies or antigen-binding fragments thereof with radionuclides, the pharmaceutical composition containing the same and the uses thereof in imaging, patient screening, treatment process monitoring and efficacy evaluation.

Abstract: Provided are anti-MASP-2 antibodies or antigen-binding fragments thereof, isolated polynucleotides encoding the same, pharmaceutical compositions comprising the same, and the uses thereof.

Abstract: This application discloses an information transmission method and apparatus, a terminal, a network side device, and a readable storage medium. The information transmission method in embodiments of this application includes: receiving, by a terminal, first signaling sent by a network side device, where the first signaling includes at least one of the following: first indication information, indicating the terminal to switch a transmission waveform; and waveform information, used for determining information about a target transmission waveform.

Abstract: A random access processing method and apparatus, a terminal, a network-side device, and a storage medium. The random access processing method includes: A terminal transmits a preamble with repetitions on a plurality of ROs. The terminal starts an RAR window, and monitors RAR information. The RAR window satisfies at least one of the following: The RAR window is at least one symbol following a last symbol of a first RO occupied by the preamble with repetitions. The RAR window is at least one symbol following a last symbol of a last RO occupied by the preamble with repetitions. The RAR window is at least one symbol following a last symbol of each RO occupied by the preamble with repetitions.

Abstract: A method for detecting a human behavior includes: obtaining an image to be detected; obtaining a plurality of key points and a plurality of pieces of position information respectively corresponding to the plurality of key points by key-point recognition on the image to be detected; grouping the plurality of key points based on the plurality of pieces of position information to obtain a plurality of key-point groups, the plurality of key-point groups at least including a part of the plurality of key points; and determining a target human behavior based on key points in the plurality of key-point groups.

Abstract: A method of training a target object detection model includes: extracting a plurality of feature maps of a sample image according to a training parameter, fusing the plurality of feature maps to obtain at least one fused feature map, and obtaining an information of a target object based on the at least one fused feature map, by using the target object detection model; determining a loss of the target object detection model based on the information of the target object and a tag information of the sample image, and adjusting the training parameter according to the loss of the target object detection model. A method of detecting a target object and an apparatus are also provided.