131 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 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 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.

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.

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.

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.

The present invention relates to a method for production of recombinant casein, wherein the method comprises the steps of: (a) adding a microbial strain to a first bioreactor, wherein said microbial strain has the capacity to express casein, and said microbial strain comprises means for deactivation of cell division; (b) culturing said microbial strain in the first bioreactor, wherein the cell division is active, thereby forming a continuously growing biomass comprising cells of said microbial strain; (c) deactivating cell division; (d) inducing expression of casein; (e) after sufficient expression of casein, lysing said cells, thereby forming a lysis broth, and separating said lysis broth so that casein can be separated into a casein containing phase; (f) optionally treating the casein containing phase to induce formation of casein micelles; (g) optionally further purifying and / or treating the casein micelles, and (h) optionally producing caseinate. In other aspects, the invention also relates to a bioreactor system, a recombinant casein, and products including a recombinant casein.

The embodiment of the present application provides a kind of semiconductor integrated device, including cell, the shape of the cell is positive K polygon, wherein, the value of K is 4 or 6 or 8;The diagonal of the cell divides cell into K positive triangle structure, and one positive triangle structure contains one integrated HJD MOSFET or one integrated SBD MOSFET;Integrated HJD MOSFET is n, and integrated SBD MOSFET is m;Wherein, n and m are positive integer and the sum of n and m is K.The embodiment of the present application solves the technical problem that the reliability and turn-on capability of the conventional integrated schottky diode device are limited.

The invention discloses an identification method, device and system for a high gene module scoring area, and relates to the technical field of space transcriptomics. The identification method comprises the following steps: acquiring space transcriptome data, dividing cells into a plurality of unit grids according to space coordinate information of the cells, and determining corresponding grid space coordinates for each unit grid; calculating a module score value of each cell and determining a high-score cell set; calculating an integrated gene set scoring index; and carrying out region division on the unit grid and determining a high gene module scoring region. According to the method, a plurality of genes are analyzed as a functional whole, the limitation that traditional single-gene analysis cannot reveal collaborative regulation is overcome, spatial quantization of a gene set synergistic effect is realized, and the problem that a gene set enrichment region cannot be positioned in the prior art is solved.

The invention discloses an energy storage battery fault detection method, device and equipment and a storage medium, and relates to the technical field of energy storage, and the method comprises the steps: obtaining the charging current data and cell voltage data of an energy storage power station corresponding to an energy storage battery at each time point, dividing the cell voltage data based on the cell characteristics of the energy storage battery, and obtaining the divided cell voltage data; each fragment is obtained; based on the charging current data and the cell voltage data, determining a target coefficient between the accumulated charging electric quantity and the voltage in each segment, and determining a corresponding coefficient curve by using the target coefficient; determining a contrast curve corresponding to the first normal charging of the energy storage battery, determining a deviation value of the coefficient curve and the contrast curve, and judging whether the deviation value exceeds a target deviation threshold value or not; and if the deviation value exceeds the target deviation threshold, determining that the battery cell of the energy storage battery is abnormal. And the real-time detection on the fault of the battery by depending on a single parameter is prevented.

The purpose of the present invention is to provide a fuel cell stack which has high output and high reliability by excluding divided cells that adversely affect the power generation output in cases where divided cells are constituted by dividing a fuel cell on a substrate. A fuel cell according to the present invention comprises a porous substrate, a first electrode layer, a solid electrolyte layer, and a second electrode layer. At least one of the first electrode layer and the second electrode layer is divided so as to form divided cells, and at least some of the divided cells each have an insulating buffer part that insulates the electrode layer from a collector (see Fig. 6).

The invention provides a physical experiment simulation system, and relates to the technical field of material mechanics tests, the physical experiment simulation system is based on an actual stress-strain curve, a simulation test piece three-dimensional model with a gap is established, cells are divided, a typical plane is selected, a groove cell, a slope bottom cell, a stretching cell and a gap cell are divided, and the physical experiment simulation system is obtained. The method comprises the following steps of: performing accurate simulation analysis on each position conveniently, directly simulating a real stretching effect in a stretching cell, acquiring radial stress at a groove cell according to a rotation trend generated by an intermolecular acting force, judging whether a notch cell and a slope bottom cell which serve as stress concentration points are in an elastic deformation stage or not through a vonMises yield criterion, and judging whether the notch cell and the slope bottom cell are in an elastic deformation stage or not. And the deformation condition of each cell caused by the influence of the stress is visualized, and the process and the result of the abnormal test result caused by the gap are intuitively displayed.

The present invention relates to the field of bioinformatics technology, and in particular to a data classification method and system for single-cell sequencing. The method comprises the following steps: obtaining 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 topology map based on the preprocessed gene expression matrix to obtain a cell topology map; calculating cell division rates based on the cell topology map and the preprocessed gene expression matrix, and performing RNA rate calculation to obtain RNA rate data; adding node rates to the cell topology map based on the cell division rate data and the RNA rate data to obtain an enhanced cell topology map. The present invention better captures the dynamic changes of cell states, reduces sensitivity to parameters, processes complex cell population structures, and provides quantitative cell heterogeneity assessment indicators by constructing a dynamic map and analyzing its changing patterns.

The present invention relates to a method for the in vitro characterization and quantification of proliferative cells in an epidermal fragment, comprising the following steps: 1) Culturing the epidermal fragment on a support, 2) Detaching the epidermal fragment from the support, 3) Performing immunostaining on the epidermal fragment, 4) Acquiring images of the basal layer of the epidermal fragment over its entire surface, 5) Reconstructing an image representing the entire basal layer of the epidermal fragment, 6) Selecting the immunostained nuclei of the proliferative cells by image processing, 7) Quantifying cell division by counting the nuclei through image analysis. The present invention also relates to using the method to evaluate the effect of a product or active ingredient on epidermal cell regeneration. Figure 1

The invention provides a fibroblast storage device and method, and relates to the technical field of microbiological devices.The device comprises a monitoring module, a control module and a storage module, the storage prediction module performs cell stage division according to the storage label and the real-time cell state data, establishes stage constraints, performs cell storage environment prediction by using the stage constraints and the real-time cell state data, and establishes a target prediction result; the environment detection module performs real-time acquisition of a storage environment of fibroblasts and establishes a storage environment data set; and the intelligent adjustment module takes the storage environment data set as an environment starting point, takes the target prediction result as a following target, executes search optimization of environment control under the constraint of the adjustment granularity identifier, and performs intelligent adjustment of the storage environment according to a search optimization result. The technical problem that the fibroblast storage reliability is poor in the prior art can be solved, and the technical effect of improving the storage reliability is achieved.

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.

Provided are a method for producing a target molecule on the basis of a condensation-segregation technique, a recombinant strain and the use thereof. By means of regulating the formation of biological condensates, high-concentration enrichment of target molecules at the cell end is achieved. By means of this step, highly-enriched target molecules are obtained and can be further accumulated by means of cell division. Compared with traditional methods, the method not only effectively improves the concentration of target molecules in a specific region within cells, but also realizes further accumulation of the enriched molecules by means of the mechanism of cell division.