858 results about "Target site" patented technology

The invention discloses a garden landscape design method based on digital twinning, and belongs to the technical field of landscape garden design. According to the method, a target site environment data set is collected, and a site thermodynamic distribution cloud picture is generated through a geographic space grid processing unit; extracting a site space pattern feature matrix on the basis; constructing a landscape effect distribution model, decomposing the feature matrix into topographic relief, seasonal phase color and illumination reflection parameters, driving the model to generate a three-dimensional scene rendering sequence, embedding the model into a three-dimensional digital twin scene of the garden site, and associating the parameters with physical attributes of the twin scene in real time; dynamic optimization of the landscape scheme is executed, an element replacement instruction is generated, and the spatial topological relation network is updated; and outputting a site design scheme map, adjusting facility layout coordinates, and generating a final scheme data packet in combination with the path connectivity, so that the precision and adaptability of garden landscape design can be improved.

The invention relates to an improved NSGA-III-based multi-target geographic site selection optimization method and system, belongs to the technical field of optimization in business management and resource planning, and particularly relates to resource allocation and site selection decision making by using a calculation model. The technology aims to solve the problems of slow scheme convergence, non-uniform solution set distribution and low calculation efficiency when multi-target site selection is carried out under limited resources. According to the scheme, geographic space data is preprocessed, and an initial population representing different site selection schemes is generated; carrying out optimization iteration by adopting an improved NSGA-III algorithm, and calculating a plurality of objective functions such as coverage rate, normalized population density and medical service accessibility; and performing individual selection and population updating by utilizing improved reference point generation and vertical distance measurement. The method is mainly used for improving the efficiency and effect of commercial and municipal decisions such as urban planning, medical resource configuration, energy station layout and logistics network optimization.

The invention relates to the field of field engineering characteristic evaluation, in particular to a fracture characteristic calculation method based on resistivity tomography and resistivity static sounding. The method comprises the steps that firstly, in-situ site resistivity parameter calibration is carried out through a resistivity static sounding (RCPTU) test technology, and a resistivity index background value of a target site is obtained; then, acquiring an initial value of the electrical resistivity of the whole area of the target site by adopting a three-dimensional electrical resistivity tomography (ERT) technology; and finally, according to the resistivity-fracture inversion model, identifying the fracture distribution condition of the whole region of the target site, and giving a fracture rate evaluation model of the target site. According to the method, the precision problem of single in-situ test equipment is solved, the test precision of site three-dimensional resistivity parameters is improved, the reliability of three-dimensional inversion calculation is improved, and the three-dimensional space distribution of the soil body fractures can be evaluated quickly, nondestructively and accurately.

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.

The invention discloses a highway accident scene sensing system based on AI identification and unmanned aerial vehicle cooperation, and relates to the technical field of intelligent traffic. Comprising a central planning node for fusing geographic information, meteorological information and road obstacle information of a target site with the real-time state of an unmanned aerial vehicle, constructing a digital twin scene model, generating an initial four-dimensional collaborative awareness route plan, and dividing sub-airspaces; the distributed airborne intelligent agent obtains peripheral multi-source data of the unmanned aerial vehicle, constructs a surrounding environment real-time situation map through an AI recognition algorithm, and determines a flight instruction of the unmanned aerial vehicle according to the surrounding environment real-time situation map and the divided sub-airspace; and the reconfigurable intelligent metasurface is used for adjusting surface electromagnetic characteristics according to the divided sub-airspaces and sending directional beams to the unmanned aerial vehicle. Therefore, the problems of cooperative scheduling, obstacle avoidance and communication guarantee of multiple unmanned aerial vehicles in a complex accident scene are effectively solved, and the efficiency and safety of emergency disposal are remarkably improved.

The invention relates to a site micro-vibration attenuation test measuring point determination method and system, belongs to the technical field of vibration test, and solves the problem that vibration test measuring point arrangement depends on vibration source load accuracy or artificial experience in the prior art. The method comprises the following steps: determining a basic measuring point based on a target site parameter, obtaining an actual measurement vibration response, and calculating an actual measurement response transfer ratio; establishing an initial finite element model of the target site, and applying a preset load to the initial finite element model to obtain an initial finite element calculation result; according to the basic measuring points, corresponding model calculation points and predicted vibration responses are extracted, and predicted response transfer ratios are calculated; and performing model parameter updating by using the actually measured response transfer ratio and the predicted response transfer ratio, obtaining a basic finite element model, generating a vibration transfer form curve, obtaining vibration transfer characteristics, and determining the number and the positions of the measuring points. The micro-vibration transmission characteristics are accurately determined without depending on the vibration source load, and the number and the positions of the vibration attenuation test points are reasonably formulated.

The invention discloses an MEP automatic measurement and threshold discrimination method and system based on a mechanical arm. The MEP automatic measurement and threshold discrimination method comprises the following steps: constructing a scalp hotspot probability distribution map based on a brain map; dividing the hotspot scalp map into a plurality of sub-regions, and selecting candidate points from the plurality of sub-regions to obtain a candidate scalp stimulation point list; carrying out transcranial magnetic stimulation according to a point position sequence of the candidate scalp stimulation point list, simultaneously collecting a motor evoked potential signal triggered by each stimulation, and simultaneously collecting a motor evoked potential signal triggered by each stimulation; preprocessing and feature extraction are carried out on the collected motor evoked potential signals, whether stimulation evokes effective MEP response or not is judged through a response judgment method, and a candidate point-MEP response database is formed; screening an optimal motion hotspot point location in the candidate area, and taking the optimal motion hotspot point location as a target site; and searching an individualized resting motion threshold value on the optimal motion hotspot point location.

A laser can be controlled based on different tissue compositions, such as in real time. After a first time period, a first composition of a in vivo target site can be identified. Based on the first composition, a plurality of lasers can be controlled to emit light at a first wavelength where controlling includes activating a first combination of the plurality of lasers. After a second time period, a second composition of the in vivo target site different from the first composition can be identified. Based on the second composition, a plurality of lasers can be controlled to emit light at a second wavelength, such as can include activating a second combination of the plurality of lasers. The first combination of the plurality of lasers can be different from the second combination of the plurality of lasers.

The invention relates to the field of nucleic acid editing, in particular to the technical field of regularly clustered interval short palindromic repeat (CRISPR). In particular, the invention relates to a mutant of a Cas effector protein, a fusion protein comprising the mutant, and nucleic acid molecules encoding the same. The invention also relates to complexes and compositions for nucleic acid editing (e.g., gene or genome editing). The invention also relates to methods for nucleic acid editing (e.g., gene or genome editing) using the proteins or fusion proteins comprising the invention. Compared with a wild type Cas protein, the Cas protein mutant disclosed by the invention has better activity, such as higher cleavage activity, stronger target site recognition capability and higher target sequence editing activity.

The invention discloses a distributed energy storage device data acquisition method, system, device and medium, and relates to the field of energy storage data acquisition, the method comprises the following steps: a cloud platform sends an acquisition instruction to an acquisition terminal in response to received registration information of a target energy storage device; the acquisition terminal responds to a received acquisition instruction, sends a detection frame through a physical port according to a target communication protocol, establishes communication with target energy storage equipment, acquires identification information of the target energy storage equipment, determines a target point location table from a local point location library according to the identification information of the target energy storage equipment, and acquires the target energy storage equipment according to a target acquisition strategy; and obtaining original operation data of the target energy storage equipment, and obtaining target structured data according to the target point location table and the original operation data. The problems of poor compatibility and low expansibility in the prior art can be solved, and the collection efficiency of the energy storage data is improved.

The invention provides a radiotherapy plan generation method and device, equipment and a medium, and the method comprises the steps: obtaining a target function image of a target object; the target function image comprises a target region, an organ at risk and a target part; determining target dose information of the target part based on the target function image, the target function partitioning result, the target region segmentation result and the endangered organ segmentation result; the target function partitioning result is used for indicating spatial distribution of a plurality of functional regions of the target part divided according to the functional state, and the target dose information comprises doses of different regions of the target part; and generating a radiotherapy plan based on the target dose information. By applying the embodiment of the invention, the set dose information of the target part is more reasonable, so that the radiotherapy plan generated based on the target dose information can ensure the accuracy of tumor control, reduce the risk of radioactive injury and realize targeted protection of the target part.

The present disclosure provides compositions and methods for prime editing with improved editing efficiency and / or reduced indel formation by inhibiting the DNA mismatch repair path way while conducting prime editing of a target site. Accordingly, the present disclosure provides a method for editing a nucleic acid molecule by prime editing that involves contacting a nucleic acid molecule with a prime editor, a pegRNA, and an inhibitor of the DNA mismatch repair pathway, thereby installing one or more modifications to the nucleic acid molecule at a target site with increased editing efficiency and / or lower indel formation. The present disclosure further provides polynucleotides for editing a DNA target site by prime editing comprising a nucleic acid sequence encoding a napDNAbp, a polymerase, and an inhibitor of the DNA mismatch repair pathway, wherein the napDNAbp and polymerase is capable in the presence of a pegRNA of installing one or more modifications in the DNA target site with increased editing efficiency and / or lower indel formation. The disclosure further provides, vectors, cells, and kits comprising the compositions and polynucleotides of the disclosure. The present disclosure also provides compositions and methods for prime editing with improved editing efficiency and / or reduced indel formation with modified prime editor fusion proteins. The disclosure further provides, vectors, cells, and kits comprising the compositions and polynucleotides of the disclosure.

The invention discloses a fan site selection method and system based on different-mode nested grids, and belongs to the technical field of fan site selection, and the method comprises the steps: firstly constructing a large-region sea ice background field by using global data to preliminarily screen candidate regions, then constructing a small-region high-resolution background field through a grid nesting technology, and carrying out the dynamic simulation, according to the method, a sea ice evolution field is obtained, an initial field is corrected by fusing field and satellite data, errors are quantized, comprehensive scoring is carried out to screen target site selection, finally, simulation parameters are dynamically optimized according to actually measured data, and a final site selection is determined through iterative correction. According to the method, multi-scale evaluation from macroscopic preliminary screening to microcosmic fine screening is realized, and through data fusion and dynamic optimization, the precision and reliability of fan site selection in a complex sea ice environment are remarkably improved.

The invention provides a desert steppe area mining area gangue discharge field ecological vegetation screening method and system, and the method comprises the steps: determining the classification factors of the site types of topographic regions based on site attribute information, and dividing a plurality of topographic regions into a plurality of different site types; identifying vegetation state information on the terrain area of the target site type to obtain a vegetation mode; calculating an evaluation score of the vegetation mode based on the vegetation type related to the vegetation mode; optimizing the vegetation mode to obtain a target vegetation type on the basis of correlation features among various types of vegetation in the vegetation mode; the method comprises the following steps: determining classification factors of site types according to real area information, dividing a waste rock discharge field into multiple types, determining vegetation modes based on vegetation states of the site types, calculating evaluation scores of the vegetation modes, and further optimizing the vegetation modes to obtain optimal vegetation types of the site types. Thus, vegetation types adapted to various site types are generated to obtain a stable and effective ecosystem.

Provided is a reverse prime editing system, which is used for achieving site-specific and precise small-fragment DNA editing upstream of a target site. In the reverse prime editing system, a targeted strand nickase (such as D10A-Cas9) is used to cleave a nick on a targeted strand, thereby enabling precise small-fragment DNA base insertion, deletion and substitution upstream of the target site under the action of a reverse transcriptase.

The invention relates to the field of nucleic acid editing, in particular to the technical field of regularly clustered interval short palindromic repeat (CRISPR). In particular, the invention relates to a mutant of a Cas effector protein, a fusion protein comprising the mutant, and nucleic acid molecules encoding the same. The invention also relates to complexes and compositions for nucleic acid editing (e.g., gene or genome editing). The invention also relates to methods for nucleic acid editing (e.g., gene or genome editing) using the proteins or fusion proteins comprising the invention. Compared with a wild type Cas protein, the Cas protein mutant disclosed by the invention has better activity, such as higher cleavage activity, stronger target site recognition capability and higher target sequence editing activity.

The invention discloses a method for high-yield production of rare saponin Rg3 through gene editing of a panax notoginseng adventitious root saponin synthesis pathway, which comprises the following steps: 1) inputting a gene CYP716A53V2 into an online tool CRISPR to find a series of potential Cas9 target sites, and carrying out random selection; (2) respectively designing downstream primers according to different selected Cas9 target sites, and carrying out PCR (Polymerase Chain Reaction) amplification by using a U6p.4-F primer as an upstream primer to respectively obtain different sgRNA sequences; (3) respectively connecting the sgRNA-n with a linearized pP1C.4 carrier, so as to obtain a recombinant plasmid; 4) respectively transforming the recombinant plasmids into agrobacterium rhizogenes, and culturing to obtain different recombinant bacterial liquids; and (5) respectively putting the pseudo-ginseng adventitious roots into different positive recombinant bacteria solutions, carrying out vacuum infection, and screening out the transgenic pseudo-ginseng adventitious roots with high Rg3 content. The method has the advantages of controllable steps, accurate regulation and control, greenness, environmental protection and high yield of saponin Rg3.

A drug applicator (202) for ultrasound-enhanced delivery of at least one drug to a target site in an intraocular space (100), the system comprising a signal generating unit (300) operatively connected to an ultrasound transducer (202), wherein the drug applicator includes at least one space (800) for holding the drug, made of a low-ultrasound-attenuation material, configured to provide low-ultrasound-loss coupling between the system and the sclera, and configured to be mechanically coupled to the system and further configured to be coupled to the ultrasound transducer with low-ultrasound-loss. The signal generating unit and / or the ultrasound transducer are configured to emit an ultrasound pattern in at least one application cycle, the application cycle comprising at least one ultrasound emission event having a duration TA and a waiting period having a duration TW.

Systems and methods for informing and evaluating neuromodulation therapy are disclosed herein. A system configured in accordance with embodiments of the present technology can include, for example, a guidewire having a proximal portion, a distal portion configured to be positioned at a target site in a blood vessel of a human patient, and a sensing element positioned along the distal portion. The sensing element can be a pressure sensing element, a flow sensing element, an impedance sensing element, and / or a temperature sensing element. The system can also include a controller configured to obtain one or more measurements related to a physiological parameter of the patient via the sensing element. Based on the measurements, the controller can determine the physiological parameter and compare the parameter to a predetermined threshold. Based on the comparison, the controller and / or an operator can evaluate the likelihood that the patient would benefit from neuromodulation therapy.

A robotic imaging system includes a camera configured to obtain one or more images of a target site. A robotic arm is operatively connected to the camera, the robotic arm being adapted to selectively move the camera in a movement sequence. The robotic imaging system includes a sensor configured to detect and transmit sensor data related to a respective position and / or a respective speed of the camera. A controller is configured to receive the sensor data, the controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is adapted to selectively execute a collision avoidance mode, which includes determining a trajectory scaling factor for the camera. The trajectory scaling factor is applied to modulate the respective speed when the camera and / or the robotic arm are in a predefined buffer zone.

The invention discloses a hydrological telemetering rainfall data cleaning method based on machine learning, and the method comprises the following steps: S1, association site screening: selecting a telemetering rainfall target site, employing an XGBoost algorithm to analyze the space-time correlation between sites, and selecting an auxiliary rainfall site with strong correlation; s2, identification of missing measurement data: based on the auxiliary rainfall station data selected in the step S1, identifying a rainfall missing measurement value of a target station through a space-time correlation comparison and discrimination algorithm; s3, abnormal data detection: carrying out secondary identification on non-missing detection data by adopting a difference value discrimination algorithm, and positioning a rainfall abnormal value; s4, model construction and training; S5, hyper-parameter optimization; and S6, data correction and storage. According to the method, accurate screening of data exceptions is realized by adopting a two-stage recognition architecture, data correction is more scientific and reliable, and the data quality of the whole process is greatly improved. The system is convenient and fast to use, and provides scientific basis and technical support for regional water resource simulation, scheduling and emergency decision making.

The invention discloses a vertical take-off and landing field site selection method based on a fuzzy multi-objective optimization model, and relates to the technical field of low-altitude traffic, and the method comprises the steps: constructing a fuzzy number of a travel demand, and converting the fuzzy number into a deterministic interval; constructing a multi-target site selection model according to the deterministic interval; constructing a solving algorithm of the multi-target site selection model; searching a Pareto optimal solution set of the multi-target site selection model by using a solution algorithm; and determining the site selection of the vertical take-off and landing field according to the Pareto optimal solution set. According to the method, fuzzy parameters and operation uncertainty are considered, so that the multi-target site selection model still has relatively high stability in different scenes, and the scientificity, the practical feasibility and the long-term robustness of a vertical take-off and landing field site selection scheme can be improved by solving the multi-target site selection model.

The present application relates to a hydrogenation network node site selection method and service platform based on hydrogen source diversity, the method comprising: determining the planned number of oil and hydrogen stations to be sited in a target area and hydrogen vehicle traffic flow parameters on a plurality of target driving routes, generating corresponding first site selection decision information based on the planned number and the hydrogen vehicle traffic flow parameters; after receiving the hydrogenation decision information currently corresponding to each target driving route, updating the first site selection decision information using a preset genetic algorithm and the hydrogenation decision information to generate corresponding second site selection decision information, the hydrogenation decision information being solved using a solver based on a first objective function and the first site selection decision information; iterating the second site selection decision information based on the fitness of the second site selection decision information calculated based on the second objective function using a genetic algorithm and the corresponding hydrogenation decision information until the target site selection decision information is obtained, and determining a site selection result based on the target site selection decision information.

Methods and devices for creating a tunnel for accessing a target tissue are provided. The method comprises: navigating a robotic bronchoscope towards a target site in an airway passage; inserting a tunnel creation device through a working channel of the robotic bronchoscope and creating an opening on the airway at the target site; and inserting a treatment device through the working channel and reaching a target tissue by passing through the opening. The tunnel creation device utilized RF energy with a metal tip, where the metal tip has a rough surface to anchor the metal tip to the target site. The opening has a size allowing the treatment device to pass through and the size is smaller than a diameter of the robotic bronchoscope.

The invention relates to the technical field of data processing, in particular to a test object detection data processing method and system.The method comprises the steps that based on three-dimensional structure data of a test object, a molecular potential value representing intrinsic data characteristics of the test object is calculated; in a preset three-dimensional space area of the target spot, calculating a matching degree representing the suitability of the two data objects; and combining the molecular potential and the matching degree to obtain a relevance score for evaluating the binding capacity of the test substance and the target spot. According to the method, the sine value of the gradient included angle between the electrostatic field and the hydrophobic field is introduced as the dynamic weight, so that the layout rationality of data features in a three-dimensional space can be evaluated, the relevance score between data objects can be calculated more accurately, and the accuracy and reliability of data screening are improved by constructing a double descriptor evaluation system.

The present invention provides an elongated member for positioning a medical device at a target site within a body lumen. [Solution] The elongated member may include one or more articulated joints for maneuvering, one or more transducers for positioning, and one or more lumens for delivering the instrument to a target site. Some embodiments, in particular, relate to medical devices that guide an operator to a target site, confirm the location of the target site, enable a biopsy to be taken from the target site, and / or deliver treatment to the target site. For example, a position tracking sensor may be used to guide the medical device to the target site, a phased array sensor may be used to confirm proper positioning at the target site, and a biopsy needle inserted through a lumen may be used to take a sample from the target site.

A medical system including a receptacle device configured to hold an implantable medical device (IMD) within a receptacle volume. The receptacle device is supported by a delivery catheter configured to position the receptacle device within an anatomical volume of a patient, such as a heart chamber. The receptacle device includes a receptacle electrode configured to conduct a signal from an environment surrounding the receptacle device to the receptacle volume such that, for example, the signal may communicate to an electrode positioned within the receptacle volume. The signal may be an intrinsic cardiac electrical signal produced by the patient's heart. The electrode may be configured to communicate the signal to processing circuitry for evaluation (e.g., by a clinician) of the positioning and / or proximity of the IMD relative to a target site, a suitability of the target site, a deployment of the IMD, and / or for other reasons.

The present invention discloses a fluorescent probe and its preparation method and application. The structural formula of the fluorescent probe of the present invention is: ‑ Cl ‑ Br ‑ , I ‑ The fluorescent probe of the present invention can rapidly undergo a bioorthogonal shear reaction to specifically activate fluorescence at the tumor site, thereby improving the imaging specificity of the target site. Simultaneously, the bioorthogonal coupling group of the probe is used to undergo biocoupling with cells, allowing the probe to be anchored on tumor cell membrane glycoproteins for long-term fluorescence imaging. The probe is suitable for non-invasive detection of tumors and surgical resection of tumors.

The embodiment of the specification discloses a kind of station risk identification rule processing method, device and equipment, the method comprises: obtaining the site information of target network site to be identified;Based on the preset site identification demand information, corresponding prompt information is constructed, based on prompt information, using first large language model, generate first risk identification rule for target site based on site information;The first risk identification rule is extended and handled, and the rule population for target site is obtained;Each rule in the rule population is evaluated by a plurality of different modes by a preset multi-modal large model, to obtain the evaluation result of rule population;Based on the evaluation result of rule population, the rule population is iteratively optimized by difference evolution algorithm, to obtain the optimized rule population, based on the optimized rule population, determine the risk identification rule for target site.

Systems and kits are disclosed herein for genetic engineering (such as for DNA cleavage and gene-editing), which include catalytic nucleic acids and catalytic nucleic acid-assisting reagents. Methods of genetic engineering are also described, in which both catalytic nucleic acid-assisting reagents and catalytic nucleic acids are specific for a target site, thus, providing high-fidelity genetic engineering.