176 results about "Dividing cell" patented technology

A system for UAV collaborative coverage path planning based on a Q-learning adaptive ant colony algorithm including a memory, an image collection device, and a plurality of UAVs loaded with a path planning module configured to: construct a 3D model in a collaborative coverage environment, by performing a cell division on the 3D model based on a scanning range of an airborne radar of each UAV, obtain one or more sub-regions; by establishing constraints of the UAV and the environment based on the determined 3D model of the region to be searched, establish a problem total cost model; perform a plurality of rounds of iterations, calculate a reward value of each ant colony and determine whether a maximum iteration count is reached, if the maximum iteration count is reached, enter a new round of iteration, otherwise, output a path corresponding to a current round of iteration as a final path.

The invention provides a low-orbit satellite resource allocation method and device based on beam and frequency domain collaborative optimization, and the method comprises the steps: dividing the overall bandwidth of a user region into a central sub-band and an edge sub-band through employing a dynamic soft frequency reuse scheme; all ground users are subjected to spatial clustering according to geographic positions and traffic demands, coverage cells are dynamically divided according to clustering results, and balanced service is achieved; on the basis of dynamic cell division, user clusters with high service volume are selected according to priorities, a beam activation set is generated, and a hopping beam matrix is updated; establishing a channel model between a user and a beam and a switching matrix between satellites; constructing a system utility target, and constructing a multi-target optimization problem model by taking the system utility target as a main part and integrating interference, switching overhead and delay penalty; and the multi-dimensional resource collaborative optimization framework based on deep reinforcement learning reconstructs a multi-objective optimization problem model, and outputs a solution of the multi-objective optimization problem model, including an optimal bandwidth and a power allocation result. According to the invention, resource allocation can be carried out on low-orbit satellites.

The invention relates to the technical field of medical image analysis, in particular to a CAR-T cell culture monitoring system based on image recognition, which comprises a cell region division module, a cell morphology analysis module, a cell behavior dynamic analysis module and a cell population collaborative monitoring module. According to the method, through cell image gradient intensity analysis, refined cell edge detection and dynamic adjustment of a segmentation threshold value, high-precision extraction of cell boundaries is ensured, noise interference is avoided, cell shapes, textures and geometric features are refined, the identification degree of morphological features is improved, and tiny changes of cell morphologies are accurately captured; dynamic tracking and trend evaluation are carried out on cell behaviors based on adjacent frame images, tiny dynamic changes such as cell division, aggregation and migration are accurately reflected, excessive smoothness in the dynamic process is avoided, cell population behavior monitoring is combined with interaction and corresponding speed calculation, the population synergistic effect change trend is comprehensively evaluated, and the cell population behavior monitoring effect is improved. And finer cell culture environment optimization and clinical research support are provided.

The invention relates to a method for dividing cell types based on single-cell multi-omics data, and belongs to the technical field of bioinformatics. The problems of high noise and high sparsity formed by a common technology are solved. Comprising the following steps: step 1, constructing a deep neural network model, step 2, obtaining a single-cell multi-omics comprehensive data set, step 3, preprocessing the single-cell multi-omics comprehensive data set, step 4, training the deep neural network model based on the preprocessed single-cell multi-omics comprehensive data set, and step 5, training the deep neural network model based on the preprocessed single-cell multi-omics comprehensive data set. And performing cell type division on to-be-detected data based on the trained deep neural network model. According to the method, an scDRMAE model is provided, dependency relationships of different omics are captured through two parallel MAE modules, factors which are usually ignored are considered in cell clustering, interpolation of different omics data is realized by means of a mask prediction mechanism in the cell clustering, and finally, the omics data are effectively fused through an attention mechanism, so that the accuracy of cell clustering is improved. And the accuracy of model cell clustering is improved.

The invention discloses a treatment response prediction method and system, a storage medium and a terminal, and the method comprises the steps: carrying out the heterogeneity analysis and cell division of first single cell sequencing data of a patient through employing a clustering algorithm, and obtaining a plurality of corresponding cell subgroups; performing feature extraction and biomarker recognition on all the cell subgroups to obtain corresponding cell subgroup features; wherein the cell subset characteristics comprise a cell development trajectory and a plurality of cell markers; and inputting the clinical information and the cell subset characteristics of the patient into the treatment response prediction model, so that the model performs multi-factor analysis and outputs a treatment response prediction result of the patient for each treatment scheme. By adopting the embodiment of the invention, the tiny key difference between the cells is captured, the cells are divided based on the difference between the cells, and then feature extraction and biomarker recognition are performed on each cell subset, so that the specific gene expression modes of different cell subpopulations corresponding to diseases can be recognized, and the treatment response prediction accuracy is further improved.

The invention relates to the technical field of bioinformatics, in particular to a data classification method and system for single cell sequencing. The method comprises the following steps: acquiring an original gene expression matrix; performing gene data preprocessing on the original gene expression matrix to obtain a preprocessed gene expression matrix; constructing a cell topological graph according to the preprocessed gene expression matrix to obtain the cell topological graph; performing cell division rate calculation according to the cell topological graph and the preprocessed gene expression matrix, and performing RNA rate calculation to obtain RNA rate data; adding node rates to the cell topological graph according to the cell division rate data and the RNA rate data to obtain an enhanced cell topological graph. According to the method, the dynamic graph is constructed and the change rule of the dynamic graph is analyzed, so that the dynamic change of the cell state is better captured, the sensitivity to parameters is reduced, a complex cell population structure is processed, and a quantitative cell heterogeneity evaluation index is provided.

The invention relates to a microalgae feature fusion analysis method and system based on deep learning, and belongs to the technical field of microalgae feature recognition and analys.The microalgae collection time node is obtained according to the microalgae growth collection threshold range, and the real-time pollutant data of the current microalgae collection time node are obtained; and finally, pollution analysis is performed according to the real-time pollutant data of the current microalgae harvesting time node, a related regulation and control strategy is generated based on a pollution analysis result, and regulation and control are performed according to the related regulation and control strategy. According to the method, the deep learning network and the generative adversarial network are fused, the cell division laws of the microalgae in different environments and the image features within the preset time can be fused to analyze the microalgae growth data in the target area, and the problem of the pain point of the image technology for microalgae growth and reproduction recognition is solved; the growth stage of the microalgae is accurately grasped, and a theoretical support is provided for identifying, regulating and removing microalgae pollutants in a watershed water body.

The invention discloses a fire identification method and system based on a smoke analysis algorithm, belongs to the technical field of forest fire identification, and is used for solving the problems that the existing forest fire identification algorithm is easily interfered by multiple aspects in a forest complex environment, so that the misjudgment rate is increased, and the forest fire identification efficiency is increased. And a potential fire point and a fire spreading trend cannot be quickly locked when a fire occurs. Comprising the steps of collecting multi-dimensional monitoring data of a monitoring forest region; performing cell division on the monitoring forest region based on the multi-dimensional monitoring data, and generating a dynamic smoke threshold value of each cell; constructing a cell dynamic association library according to the multi-dimensional monitoring data of each cell; performing smoke identification on the multi-dimensional monitoring data, and determining a target cell where a fire occurs based on a dynamic smoke threshold value; performing spreading dynamic simulation on the multi-dimensional monitoring data of the target cell to obtain spreading simulation data; and obtaining an associated cell of the target cell in the cell dynamic association library, determining the associated cell as a potential fire area, and generating a thermodynamic diagram of the potential fire area.

The invention belongs to the technical field of monitoring of a hot spring algae culture process, and discloses an intelligent monitoring and analyzing method for growth data of hot spring algae culture. According to the invention, by identifying the abnormal growth state and dynamically adjusting the spectrum composition and intensity of the multiband illumination sensor array when the abnormal growth state is identified, spectrum-growth state closed-loop control is realized, the accuracy and effectiveness of illumination control are improved, proper illumination is provided for the hot spring algae in time, and the quality of the hot spring algae is improved. The photosynthesis and normal growth are guaranteed, the culture efficiency and quality are effectively improved, and the loss caused by abnormal growth is reduced. According to the method, the growth cycle is identified based on the relative growth rate and the cell division rate, so that the growth change can be more sensitively captured, the exact growth stage of the hot spring algae can be accurately grasped, a key support is provided for subsequent accurate regulation and control of culture conditions, and the scientificity and effectiveness of culture are greatly improved.

The invention discloses a key channel evaluation and identification method for improving traffic accessibility. The method comprises the following steps: calculating a reference average time from a circle center to all other position points in a travel circle taking a travel distance threshold as a radius; dividing cells and groups; determining a trip circle and an associated cell of the target cell; assigning a number to each road section of the traffic network; calculating to obtain a reachability index of the target cell; selecting a cell of which the traffic reachability needs to be improved; and identifying a road section capable of improving reachability. The evaluation method can help to solve the problem of how to select the layout of the optimized channel to more effectively improve or improve the traffic accessibility in a certain area range.

The invention relates to the technical field of cell detection and tracking, and discloses a cell multi-target tracking method, system and equipment, and the method comprises the steps: constructing a multi-cell video data set; and constructing an improved YOLOv5 target detection model, inputting the multi-cell video data set into the improved YOLOv5 target detection model for target detection to obtain a target detection result, and performing tracking processing on the target detection result in combination with a BoT-SORT algorithm to obtain a cell multi-target tracking result. According to the method, reliable input is provided for tracking by improving YOLOv5, optimizing cell feature extraction and improving low resolution and cell division scene detection precision, complete link optimization is formed through cooperation of a BoT-SORT algorithm, optimizing matching and trajectory management, and the cell tracking precision and efficiency are improved while real-time performance is guaranteed.

The invention discloses a preparation technology of a special cistanche inoculation block with a seed dormancy breaking self-induction function by combining a cistanche seed dormancy breaking inducer and hydrogel, and relates to the technical field of cistanche cultivation. The specific technical process is as follows: preparation of a dormancy breaking inducer solution, preparation of a hydrogel block containing the dormancy breaking inducer and cistanche seeds, and preparation of an inoculation block. According to the method, gibberellin and cytokinin are used as dormancy breaking inducers, and a yeast aqueous extract is used as an auxiliary agent. The problems of seed dormancy breaking, germination promoting and water retention inoculation are effectively solved, seed dormancy breaking does not need to be conducted in advance before inoculation, meanwhile, hydrogel has high water absorption and water retention capacity, the problem that dormancy breaking seeds are inactivated due to the fact that the dormancy breaking seeds cannot germinate and parasitize in time after being inoculated due to water shortage is effectively solved, and the survival rate of the seeds is increased. The inoculation efficiency is improved to 75% or above from about 20% of existing inoculation paper inoculation, and the method has a good popularization prospect and has very important significance in promoting the industrial development of cistanche deserticola.

A damage detection method for an electrolytic cell includes dividing cells of the electrolytic cell into a class having a damaged membrane, performing a first test to confirm whether the class includes at least one cell, the at least one first test based on injecting an inert gas at an anode and a cathode of each cell, when a result of the first test confirms that the class includes the at least one battery, replacing the battery and performing a second test to assess whether there is at least one further damaged battery; when the result of the second test indicates that there is at least one further damaged battery, stopping the electrolytic cell and repeating the following steps: performing the first test, replacing the battery and performing the second test, repeating, and when the result of the second test indicates that there is no further damaged battery, replacing the battery with the battery, and performing the second test. And starting the electrolytic bath.

The invention relates to a low-orbit satellite communication system dynamic wave beam hopping method and a satellite communication system, and the method comprises the steps: taking the minimization of the number of cells as a target and the minimum center spacing as a constraint, constructing a cell division model, and solving the cell division model to obtain a cell division result; taking minimization of the maximum load gap between the satellites as a target, taking the cell division result as a constraint, constructing a load balancing model, solving the load balancing model, and determining a cell-satellite ownership relationship; and with user service quality index weighted optimization as a target and the cell-satellite affiliation relationship as a constraint, satellites are used as intelligent agents, and multi-satellite joint optimization is realized by adopting a reinforcement learning algorithm. According to the method, the cell average time delay and the packet loss rate can be reduced, and meanwhile, the low cell average time delay variance can still be kept.

The invention provides a single-cell multi-omics data clustering method based on a diffusion auto-encoder, and belongs to the technical field of biological single-cell data classification. Comprising the following steps: carrying out dimension reduction processing on paired single-cell omics A and omics B data to obtain two types of omics data with consistent dimensions; integrating the features of the two types of omics data by using a feature fusion module based on a bidirectional cross attention mechanism to obtain common semantic embedding z of the cells; generating random encoder features based on the two types of omics data, and reconstructing original data based on z and the random encoder features by using two conditional diffusion models; updating parameters of the conditional diffusion model by using a loss function to obtain a common semantic embedding z'which minimizes the loss function; and dividing the cells into different cell subgroups by using z'by using a clustering algorithm. According to the method, the semantic features and random noise of the cells are separated by using decoupling learning, and the cells are clustered by using cross-omics invariant features, so that different subtypes can be accurately identified.

Provided is a rejuvenating agent that restores cell function, suppresses senescence-associated secretory phenotypes (SASP), extends telomeres, and restores cell division capability.　This rejuvenation agent is for use by administration to subjects having cells and contains microparticles derived from dental-pulp-derived stem cells. The present invention also provides a rejuvenation method.

The invention discloses a sweet potato plot area division and background removal method based on unmanned aerial vehicle multispectral remote sensing. According to the method, the random forest model is adopted for training, so that remarkable advantages are brought. Firstly, the comprehensiveness of data preparation and the accuracy of feature selection jointly improve the prediction accuracy of the model. By integrating multiple characteristics such as multispectral remote sensing data, vegetation indexes and topographic parameters, the model can comprehensively consider multiple factors influencing the growth of sweet potatoes, so that the results of cell division and background removal are predicted more accurately. The feature importance evaluation further screens out the feature which has the largest influence on the model, interference caused by irrelevant factors is reduced, the model is more focused on key information, and the prediction accuracy and reliability are improved. An integrated learning mechanism of multiple decision trees is combined with randomly selected features and samples, so that an overfitting problem is effectively avoided, and stable performance of the model on unknown data is ensured.

The invention concerns methods for predicting changes in a tissue, comprising obtaining snap shot information on individual cells of at least one cell type in a section of a tissue biopsy, wherein the information comprises: (i) spatial localization, (ii) cell type and (iii) cell division state at a specific point in time; calculating cell division probabilities for each of said individual cells; determining cell population dynamics based on the cell division probabilities and predicting future changes in the tissue based thereon. Particularly, the method concerns predicting tissue dynamics in cancer biopsies relevant for prognosis, and assessment of response to therapy.

The present application provides a method and device for monitoring a physical downlink control channel, the method comprising: dividing cells having the same subcarrier spacing, the same time span pattern, and aligned time span positions into a cell set, and allocating the monitoring capability of a terminal device to the cell set according to the ratio of the number of cells contained in the cell set to the total number of cells configured by the network device for the terminal device, and then allocating the monitoring capability between cells within the cell set, thereby solving the problem of being unable to determine the monitoring capability corresponding to the span in each cell due to the misalignment of the span positions of different cells in a CA scenario, so that the terminal can monitor the physical downlink control channel with the span as the granularity.

The invention discloses an anti-aging transdermal drug delivery microneedle preparation solution, a preparation method and application of the anti-aging transdermal drug delivery microneedle preparation solution and a transdermal drug delivery soluble microneedle, and belongs to the technical field of microneedle preparation. Comprising 0.25%-10% of an anti-sugar and anti-oxidation component, 0.1%-10% of an anti-ultraviolet damage component, 0.1%-10% of a cell and collagen regeneration component, 10%-30% of an extracellular matrix supplement component, 0.05%-3.1% of a nerve inhibition component and the balance of water. The transdermal drug delivery microneedle preparation solution disclosed by the invention can be used for preparing a transdermal drug delivery soluble microneedle, and the transdermal drug delivery soluble microneedle can be used for rapidly improving the intercellular capacity, so that the effects of improving the material transportation speed, the cell division and differentiation speed and the construction speed of extracellular matrixes such as collagen and the like are achieved; therefore, the purpose of recovering the tough and elastic young state of the skin is achieved.

Disclosed herein include methods, compositions, and kits suitable for use in capturing lineage relationships in dividing cell populations. Disclosed herein include compact phylogenetic recording systems for high resolution lineage reconstruction over long time scales. In some embodiments, the system comprises one or more hypercascade array(s) each comprising p hypercascade units, n layer guide RNAs, and an editor. In some embodiments, the system comprises one or more target array(s) comprising n editable target sites, n guide RNAs gRNAs, and a base editor capable of adenine (A)-to-guanine (G) base editing.

The invention discloses a method for adjusting the pore opening degree of Shanghai green, and belongs to the technical field of plant detection. Shanghai leaves are placed in 20mL of open liquid containing (1) 0.5% potassium chloride and 100 [mu] M / L calcium chloride or (2) 0.5% potassium chloride and 50 [mu] M / L brassinolide or (3) 0.5% potassium chloride and 10 [mu] M / L cytokinin or (4) 0.5% potassium chloride and 5 [mu] M / L gibberellin or (5) 0.5% potassium chloride and 100 [mu] M / L methyl jasmonate, culture is performed under illumination, and the illumination time is set to be 5h, so that the pore opening degree of Shanghai is remarkably increased. Compared with a control group (containing 0.5% of potassium chloride), the pore openness of the treatment is respectively increased by 33.5%, 43.5%, 43.4%, 27.1% and 70.2%. The method disclosed by the invention lays a technical foundation for rapidly screening out the exogenous environmental stimulation factor (environical stimuli) capable of increasing the opening degree of the pore.

Systems and methods for destroying or inhibiting cancer cells and other rapidly-dividing cells including an alternating polarity (AP) magnetic field generator and one or more AP electromagnetic coil adapted to be coupled to at least a portion of a patient's body, and a controller to control the AP magnetic field generator and at least one AP electromagnetic coil and cause the field generator and coil to apply AP magnetic field having a frequency of 0.5-500 KHz and a field strength of 0.5-5 mT to the at least a portion of the patient's body area to achieve a desired inhibiting effect on cancer cells or other rapidly-dividing cells. Treatments provided by the system may be co-administered with an anti-cancer therapy such as a chemotherapy drug, a hormone therapy drug, targeted therapy drugs, immunotherapy drugs, an angiogenesis inhibitor drug, or tumor treatment field therapy.

The invention relates to the field of analyzing cells and cell division, in particular to means and methods for detecting low numbers of dividing immune cells in blood samples. Provided is an in vitro method for detecting proliferating cells, comprising the steps of: (i) culturing cells in the presence of a nucleoside analog comprising a first reactive unsaturated group to allow for incorporation of the nucleoside analog in the DNA of the cells; (ii) concentrating the nucleoside-labeled cells by covalent immobilization to a solid surface comprising a coating of (3-aminopropyl)triethoxysilane (APTES) or branched polyethyleneimine (PEI) that is activated by glutaraldehyde (GA); (iii) optionally fixing the concentrated and covalently immobilized cells with formaldehyde; (iv) contacting the covalently immobilized cells with a detection probe comprising a second reactive unsaturated group, such that a [3+2] or [4+2] cycloaddition occurs between the first and second reactive unsaturated groups; and (v) determining the amount of detection probe attached to the DNA of the immobilized cells to measure cellular proliferation.

The invention discloses a variable-frequency ultrasonic generating device for American ginseng seedling culture, and relates to the technical field of agricultural production, the variable-frequency ultrasonic generating device comprises a box body, the upper surface of the box body is open, a seedling culture tray is arranged on the inner wall of the bottom of the box body, and a display screen is arranged on the outer wall of one side of the box body; the box body is composed of an ultrasonic transduction module, a power module, a growth monitoring module and a control module. The ultrasonic transduction module is composed of a piezoelectric crystal unit and an electroacoustic transducer; when high-frequency alternating-current voltage is applied to the piezoelectric crystal, the piezoelectric crystal can generate mechanical vibration, and then the mechanical vibration is converted into ultrasonic waves through the electroacoustic transducer; when the ultrasonic waves act on the soil on the seedling raising tray, the ultrasonic waves can generate tiny influence on the soil structure, and binding power among soil particles can be broken. The method can stimulate cell division and growth of American ginseng seeds, so that the growth speed and development cycle of American ginseng seeds are accelerated, and the germination rate of American ginseng is remarkably increased.

The present invention relates to a photonic waveguide mesh arrangement for a field programmable photonic gate array (FPPGA) that comprises a plurality of hexagonal or quadrangular cells and a plurality of defective cells or a plurality of divided cells. The length of the sides of the defective cells or the divided cells is greater than or less than L.

Described herein are devices for applying an alternating electric field to a living subject or an in vitro medium at a frequency between 100 kHz and 500 kHz. Also described herein are methods of using the described devices for applying an AC electric field to a target region comprising rapidly dividing cells, e.g., cells associated with a variety of disorders or conditions. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

The disclosure relates to compositions and methods for enhancing asymmetric division of satellite cells and promoting muscle cell / tissue regeneration, for treatment of muscle tissue injuries and muscle diseases, including muscular dystrophies.

The application provides an analysis method, device and equipment based on single-cell transcriptome sequencing data, which comprises the following steps: performing quality control, downstream analysis and visual display on single-cell transcriptome sequencing expression quantitative data, performing cell filtering by using Grubbs test method to obtain effective single-cell transcriptome sequencing quantitative data, performing initialization clustering analysis on the data to obtain single-cell subgroup classification results; performing screening on the single-cell subgroup classification results to obtain target single-cell subgroups, and performing re-clustering analysis to obtain single-cell sub-subgroup classification results; performing significant difference gene screening analysis on the single-cell transcriptome sequencing quantitative data between single-cell subgroups; and performing regression analysis based on characteristic genes of cell cycles to predict cell division periods corresponding to different cell types. The application effectively solves the technical complex problems of existing single-cell transcriptome sequencing quantitative data analysis, makes data analysis more simple and reliable, and reduces the difficulty of data analysis.

The invention relates to compounds which inhibit Cyclin-Dependent Kinases such as CDK2 (Cyclin-Dependent Kinase 2 or Cell Division protein Kinase 2) and CDK4 (Cyclin-Dependent Kinase 4 or Cell Division protein Kinase 4), and to processes for the preparation of said compounds, pharmaceutical compositions comprising said compounds, and use of said compounds in the treatment of conditions, diseases and disorders mediated by CDK2 and / or CDK4.