33 results about "Cell determination" patented technology

Embodiments of the present disclosure relate to the technical field of mobile communications, and disclose an effective cell determination method and apparatus, a device, a medium, and a product. According to the present disclosure, a frequency domain autocorrelation method is used, frequency domain data in each sub-time period is autocorrelated with frequency domain data of a previous sub-time period to obtain an autocorrelation peak value, and whether an effective cell exists in a receiving frequency band range of an electronic device is determined on the basis of the autocorrelation peak value. By using the frequency domain autocorrelation method, the impact of a frequency offset can be effectively resisted, so that the effective cell can be determined more accurately, and the computational volume of the frequency domain autocorrelation method is low; thus, time can be saved, and the efficiency of determining the effective cell is improved. According to the present disclosure, it can be quickly and accurately determined whether an effective cell exists in the receiving frequency band range of the electronic device.

The application provides a cell determination method and device and a storage medium thereof, relates to the technical field of communication, and can determine a target cell capable of occupying a double channel by comprehensively considering factors. The method comprises the following steps: determining resource occupation rates, user numbers, and network rates of a plurality of cells in a first preset time period; determining priorities of each cell in the plurality of cells based on the resource occupation rates, the user numbers, and the network rates of the plurality of cells; determining a cell with the highest priority in the plurality of cells as a target cell adopting a double channel in a second preset time period; and the second preset time period is a time period after the first preset time period. The application is used in a cell determination process.

The present application relates to a target cell determination method and apparatus, and a storage medium, applied to a terminal device, the method comprising: measuring beam quality of a plurality of candidate cells to obtain a plurality of first measurement results, the plurality of candidate cells being in one-to-one correspondence with the plurality of first measurement results; selecting the candidate cells of which the corresponding first measurement results are greater than or equal to a first threshold in the plurality of candidate cells to obtain a first candidate cell set; and under the condition that the candidate cell corresponding to the first measurement result greater than or equal to a second threshold exists in the first candidate cell set, determining the candidate cell corresponding to the first measurement result greater than or equal to the second threshold in the first candidate cell set as a target cell. According to the invention, in the switching of the combined LTM cell, the terminal device determines the target cell according to the plurality of thresholds and the measurement result of the beam quality of the candidate cell.

The present disclosure provides example embodiments for automatically or semi-automatically classifying cells in microscopic images of biological samples. These embodiments include methods of selecting training sets for the development of a classifier model. The disclosed selection embodiments can allow for retraining of a classifier model using training examples that have undergone the same or similar culture conditions as a target sample. These selection embodiments can reduce the human effort required to specify the training examples. The disclosed embodiments also include classifying individual cells based on metrics determined for the cells using phase contrast imaging and out-of-focus brightfield imaging. These metrics can include size, shape, texture, and intensity-based metrics. These metrics are determined based on segmentation of the underlying imagery. In some embodiments, the segmentation is based on phase contrast imaging and / or out-of-focus brightfield imaging of the biological sample.

The present disclosure relates to a cell determination method, a device, a communication device and a storage medium, wherein the cell determination method comprises: determining at least one cell set corresponding to downlink control information used for scheduling a plurality of cells; and determining, for each first cell set in the at least one cell set, a reference cell in the first cell set, wherein the blind detection resource occupied by the downlink control information used for scheduling the plurality of cells when scheduling the cells in the first cell set is determined on the reference cell in the first cell set. According to the present disclosure, since the cells contained in the first cell set can have scheduling cells and scheduled cells, the reference cell in the first cell set is not limited to the scheduling cells, but can include the scheduled cells, so that the blind detection resource occupied by the downlink control information used for scheduling the plurality of cells can be determined on the scheduled cells. Accordingly, the blind detection efficiency and performance of the terminal for the downlink control information can be improved.

Disclosed herein are compositions and methods of fixing and staining rare cells. Further, disclosed herein are methods of identifying circulating tumor cells (CTC). In some embodiments, the method includes: imaging a cell sample to identify a cell of interest; determining a first pixel intensity of a stained nuclear area; determining a second pixel intensity of a background area; calculating a ploidy status of the cell of interest by subtracting the second pixel intensity from the first pixel intensity; and determining whether the cell of interest is a CTC based on the ploidy status. The method may be computer implemented, such that the method uses a machine learning algorithm to identify a feature; process the feature to extract a parameter of interest; analyze the parameter of interest; and when the parameter of interest is greater than or less than a pre-determined threshold, classify the cell of interest as a CTC.

The present application relates to the field of communications. Disclosed are an applicable cell determination method and apparatus, and a device and a storage medium. The method comprises: receiving configuration information, wherein the configuration information is used for mobility management, which is triggered on the basis of a condition; and determining an applicable cell corresponding to an execution condition of the mobility management. After receiving configuration information used for mobility management, which is triggered on the basis of a condition, a terminal device determines an applicable cell corresponding to an execution condition of the mobility management, and the assessment of the execution condition of the mobility management on the basis of a correct applicable cell is supported, thereby realizing the correct assessment of the execution condition.

This application provides a cell determination method, cell determination device, communication equipment, chip, storage medium, and product. The method includes: a terminal device determining a second cell that has a mapping relationship with a first cell based on a first mapping relationship; wherein, the first mapping relationship is a mapping relationship between a Closed Access Group (CAG) cell and a Closed Subscription Group (CSG) cell; the first cell is one of the CAG cell and the CSG cell, and the second cell is the other of the CAG cell and the CSG cell.

The present disclosure relates to cell determination methods and apparatus, a communication apparatus and a storage medium. One cell determination method comprises: determining at least one cell set corresponding to downlink control information for scheduling a plurality of cells; and, in respect of each first cell set of the at least one cell set, determining a reference cell in the first cell set, wherein a blinding detection resource occupied by the downlink control information for scheduling a plurality of cells when scheduling a cell in the first cell set is determined in the reference cell in the first cell set. In the present disclosure, cells in the first cell set may comprise scheduling cells and scheduled cells. Therefore, on this basis, the reference cell in the first cell set is not limited to the scheduling cells, but may be a scheduled cell, so that the blinding detection resource occupied by the downlink control information for scheduling a plurality of cells can be determined in the scheduled cell, thus helping to improve the downlink control information blinding detection efficiency and blinding detection performance of terminals.

The invention provides a cell determination method, device and equipment and a storage medium, and the method comprises the steps: receiving a position updating message sent by a terminal for the first time, and sending an artificial intelligence AI model corresponding to a satellite non-ground network NTN to the terminal, the AI model is used for indicating the terminal to adopt the AI model to determine a cell in which the terminal resides. According to the invention, the accuracy of cell determination can be improved, and the communication quality can be improved.

The present disclosure relates to a cell determination method, a device, a communication device, and a storage medium, the cell determination method including: determining at least one cell set corresponding to downlink control information for scheduling a plurality of cells; and, for each first cell set among the at least one cell set, determining a reference cell in the first cell set, in which the reference cell in the first cell set determines blind check resources occupied by the downlink control information for scheduling the plurality of cells when scheduling the cell in the first cell set. According to the present disclosure, since the cells included in the first cell set may have a scheduling cell and a scheduled cell, the reference cell in the first cell set may not be limited to the scheduling cell but may also include the scheduled cell, and the scheduled cell may determine blind check resources occupied by the downlink control information for scheduling the plurality of cells. This is advantageous for improving blind check efficiency and blind check performance of a terminal for downlink control information.

The present disclosure relates to a method and apparatus for determining candidate cells, wherein the candidate cell determination method includes: sending auxiliary information to a network-side device, the auxiliary information being used to assist the network-side device in determining a candidate cell, wherein the candidate cell is a CHO candidate cell configured by the network-side device for the terminal. According to the present disclosure, the terminal can determine the auxiliary information to assist the network-side device in determining the candidate cell, and send the auxiliary information to the network-side device. Thus, the network-side device can refer to the auxiliary information to determine the candidate cell. Compared to the network-side device directly determining the candidate cell, the accuracy of the determined candidate cell can be improved, resource waste can be avoided, and terminal communication quality can be guaranteed.

The present invention relates to a method for determining a predicted wrinkle level of human skin, the method comprising providing human skin cells, determining a methylation level of at least one CpG-dinucleotide or an expression level of at least one gene, and determining a predicted wrinkle level of the skin cell by comparing the determined methylation level with empirically determined data representing a correlation between a methylation level of CpG-nucleotides of at least one human individual and a visual wrinkle level, or determining a predicted wrinkle level of the skin cell by comparing the determined gene expression level with empirically determined data representing a correlation between the gene expression level of at least one human individual and the visual wrinkle level.

This application provides a cell determination method, apparatus, and storage medium, relating to the field of communication technology, which can better ensure the continuity of dedicated slice services. The method includes: acquiring first information of at least one first cell within a target time period; the first information of the first cell includes at least one of the following: whether it supports a target slice, the number of resources to be allocated, and second information; the second information includes at least one of the following: Reference Signal Received Power (RSRP), Physical Resource Block (PRB) resource utilization rate, and Radio Resource Control (RRC) connection number; the first cell is a neighboring cell among at least one neighboring cells of a terminal device whose signal strength meets the requirements; and determining a target cell from the at least one first cell based on the first information of the at least one first cell. The embodiments of this application are used in the cell determination process.

The invention provides a digital slice abnormal cell detection method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the pixel-level instance segmentation of a to-be-detected image based on a trained instance segmentation model, and obtaining a cell mask and a cell nucleus mask in the to-be-detected image; based on the spatial characteristics and / or attribute characteristics of the cell mask and the cell nucleus mask, carrying out cell-cell nucleus association matching to obtain a cell-cell nucleus pair; and calculating the characteristic value of the cell morphology quantitative characteristic of the cell-cell nucleus pair, and determining the cell with the characteristic value exceeding a characteristic threshold as an abnormal cell. According to the digital section abnormal cell detection method and device, the electronic equipment and the storage medium provided by the invention, the accuracy, the automation level and the clinical applicability of abnormal cell detection are remarkably improved through a progressive process of instance segmentation-association matching-quantitative judgment, and a more reliable and efficient intelligent tool is provided for early screening of cervical cancer.

The application provides a cell determination method, device and storage medium, relates to the technical field of communication, and can improve the accuracy of determining the user equipment resident cell. The method comprises the following steps: determining the positions of a target terminal device at multiple moments within a preset time period and target geographical area borders of multiple cells; the target geographical area borders are determined based on first cell border data and second cell border data of the cells; the first cell border data is the geographical area border of a first cell in a map; the second cell border data is the geographical area border of the first cell drawn based on a drawing tool; based on the positions of the target terminal device at the multiple moments and the geographical area borders of the multiple cells, the number of times that the target terminal device appears in each cell within the preset time period is determined; and the cell with a number of times greater than or equal to a preset threshold is determined as the target cell of the target terminal device. The embodiments of the application are used in the process of cell determination.

This invention relates to the field of communication technology, and in particular to a method and related equipment for determining the cell where a mobile terminal camps. The method includes: determining an edge mobile terminal and its corresponding outdoor cell based on signal measurement information of an indoor mobile terminal accessing an indoor cell; sending a first request to an outdoor network device corresponding to the outdoor cell, causing the outdoor network device to send network resource information of a candidate mobile terminal to an indoor network device according to the first request, wherein the candidate mobile terminal is a mobile terminal accessing an outdoor cell and whose adjacent cells are indoor cells; receiving the network resource information of the candidate mobile terminal sent by the outdoor network device; determining a first network quality of the indoor cell and a second network quality of the indoor cell after the candidate mobile terminal accesses it, based on the network resource information of the edge mobile terminal and the candidate mobile terminal; and determining that the candidate mobile terminal camps in an indoor cell if the second network quality is greater than the first network quality.

The present invention relates to the field of data processing technology, and discloses a method for constructing a prognosis survival prediction model and a prediction method. The construction method includes: obtaining a one-to-one corresponding fluorescence sample image of a sample tissue before treatment and the prognosis information of the patient corresponding to the sample tissue; segmenting myeloid cells and determining the fluorescence expression amount of each myeloid cell on different markers; determining the spatial distance between each myeloid cell in each sample tissue and other different types of myeloid cells to obtain cell spatial distance characteristics; determining the spatial interaction relationship between each myeloid cell in each sample tissue and surrounding cells to obtain cell interaction characteristics; dividing the training set and the test set; and constructing a prognosis survival prediction model based on the cell spatial distance characteristics and cell interaction characteristics in the training set and the test set. The present invention constructs a prognosis survival prediction model based on the spatial position relationship of myeloid cells, which provides a powerful reference basis for clinical judgment of tumor prognosis and survival.

This application provides a cell determination method and apparatus to reduce the overhead of configuration information and improve communication efficiency. According to this method, a network can group all cells, and cells that can serve the same object are considered a cell set, and different objects can correspond to different cell sets. In this way, for a target object, the configuration information can indicate only the service time during which at least two cells in a first cell set of all cells serve the target object. This can reduce the overhead of configuration information and improve communication efficiency.

A cell determination method is performed by a terminal, and includes: receiving slice-related information from a non-access stratum through an access stratum; and performing at least one of a cell selection or a cell reselection based on the slice-related information.

The present invention relates to a method for the manufacture of an antibody which specifically binds to an antigen, preferably, being a hapten such as fentanyl or a derivative thereof, comprising the steps of a) contacting a B-cell sample of an animal, preferably a mouse, which has been immunized with the antigen with labeled antigen, b) isolating individual cells from that sample that are CD19 positive, are CD138 negative, having bound the labeled antigen, c) determining the nucleic acid sequences of a plurality of expressed genes, preferably, the entire transcriptome for each of said isolated individual cells, d) selecting individual memory B-cells among the individual isolated cells by identifying the presence of nucleic acid sequences of one or more expressed genes selected from the group consisting of: BhIhe41, Parm1, CD80, CobI, IgG1, Sspn, Ackr2, Nt5e, and Mki67 within the nucleic acid sequences of a plurality of expressed genes, e) assembling antibody light and heavy variable chain encoding nucleic acid sequences from the nucleic acid sequence of the plurality of expressed genes of the selected individual memory B-cells, and f) expressing the antibody light and heavy chain encoding nucleic acid sequences assembled in step e) in a host cell in order to manufacture the antibody.

The invention discloses a malignant cell separation method and system based on transcriptome sequencing. The method comprises the following steps: step 1, reading and preprocessing transcriptome sequencing data; step 2, calculating a window CNV based on a gene position; 3, respectively calculating a patient-level CNV threshold value and a sample-level CNV threshold value; step 4, performing reference correlation analysis, including reference cell determination, cell correlation calculation and correlation threshold determination; 5, performing cell classification by integrating the CNV threshold value and the correlation; step 6, verifying independence; and step 7, generating an analysis result and a visual chart. The problem of tumor heterogeneity can be more accurately solved, more accurate separation of malignant cells is realized, and the method particularly has obvious advantages in a complex tumor environment in which a traditional fixed threshold method fails.

Embodiments of the present application disclose a cell determination method based on network slices and related products, comprising: determining at least one first network slice by a terminal device; and determining a first cell to be accessed by the terminal device according to the at least one first network slice. The embodiments of the present application are beneficial to wireless communication based on network slices, improve the target of cell access, and refine the utilization of network resources.

The present disclosure describes methods, system, and devices for performing cell determination based on user equipment (UE) capability. One method includes reporting, by a UE, at least one UE capability for determining a cell, wherein: the cell comprises one or more frequency resource units based on the at least one UE capability. Another method includes receiving, by a base station, a report comprising at least one UE capability for determining a cell, wherein: the cell comprises one or more frequency resource units based on the at least one UE capability.

The method may include receiving a positron emission tomography (PET) scan depicting multiple cancer cells. One or more lesions depicted in the PET scan may be identified. An origin cell classification model may be applied to determine the origin cells of each lesion depicted in the PET scan. A molecular subtype profile of multiple cancer cells depicted in the PET scan may be determined based on the origin cells of at least the individual lesions depicted in the PET scan. The molecular subtype profile may include the overall origin cells of the multiple cancer cells and / or the proportion of lesions having each possible origin cell. Related systems and computer program products are also provided.

The present disclosure relates to a cell determination method and apparatus, and a communication apparatus and a storage medium, the cell determination method comprising: according to a predefined rule or indication signaling of a network device, determining cells to which at least one information domain in MC-DCI can apply; determining at least one first cell which is scheduled by the MC-DCI; and according to a relationship between the at least one first cell and the cells to which the at least one information domain in the MC-DCI can apply, determining a cell to which the at least one information domain in the MC-DCI applies. According to the present disclosure, a terminal can determine cells to which at least one information domain in MC-DCI can apply, and at least one first cell which is scheduled by the MC-DCI, such that, according to a relationship between a first cell which is actually scheduled by the MC-DCI and the cells to which the at least one information domain in the MC-DCI can apply, a cell to which the at least one information domain in the MC-DCI applies is determined. Therefore, a terminal can rationally determine a cell to which an information domain in MC-DCI specifically applies.

The invention discloses a cell determination method and a related device. The method comprises the following steps: determining a first broadcast beam and a first data beam corresponding to a terminal; according to the measured first power value of the first broadcast beam and power bias information, whether a cell corresponding to the first broadcast beam is selected as a target cell of the terminal is determined, and the power bias information indicates a target difference value between the first power value and a second power value of the first data beam in one or more time ranges. By considering the influence of the power bias information and the time during cell selection, the terminal can obtain the related power information of the data beam for actually providing the service according to the power bias information and the measured first power value, so that the accuracy of cell selection and / or cell reselection can be improved, and the communication performance can be improved.

The present disclosure relates to a cell determination method and device, a communication device, and a storage medium, the method including: determining a target slice to be accessed and at least one frequency associated with the target slice; and determining a candidate cell supporting the target slice from among cells corresponding to at least one of the frequencies. According to the present disclosure, a terminal can determine a cell supporting the target slice as a candidate cell from among cells corresponding to frequencies related to the target slice for subsequent use, for example, for cell reselection, thereby ensuring that the candidate cell supports the target slice; after reselecting to the target cell, the terminal can access the target slice, thereby accepting the associated service of the target slice, and ensuring a good communication effect of the terminal.

The invention belongs to the technical field of medicines, and particularly relates to a method for determining the dissolution rate of an ibuprofen suspension based on a flow cell and application. According to the method, key parameters are screened, optimal parameters are adopted, and the flow cell determination method for external dissolution of the ibuprofen suspension is provided. The method has good specificity, low detection limit and quantitation limit and high accuracy. The method is applied to determination of in-vitro dissolution conditions of ibuprofen suspension preparations of different production enterprises, and has good distinguishing ability. According to the method, similar dissolution curves of the original research medicine and the generic medicine passing the consistency evaluation are shown, and dissimilar dissolution curves of the generic medicine not passing the consistency evaluation are shown. Compared with a paddle method, the method provided by the invention has better discrimination, provides reference for quality control of the ibuprofen suspension preparation, especially for dissolution rate inspection, is beneficial to smooth development of consistency evaluation work, and provides a basis for effective research of the suspension preparation.

The present disclosure generally relates to systems and methods of recirculating cells such as immune cells. In certain aspects, target cells attached to a chamber are provided, where cells such as immune cells can attach and be activated by the target cells. In some embodiments, flushing fluid through the chamber can remove non-attached cells. In certain aspects, activated cells can be used for determining information about the subject. For example, an aging-related response to a disease (e.g., cancer) can be determined from the activated cells. Other aspects include exposing cells such as immune cells to malignant cells such as cancer cells, kits or devices for conducting various methods described herein, or the like.