7results about How to "Help identify" patented technology

The application provides a base sequencing quality evaluation method and system, which are used in the field of gene sequencing. The base sequencing quality evaluation method provided by the application comprises the following steps: providing a standard nucleic acid sequence, aligning the standard nucleic acid sequence to a reference sequence, and giving a label to a base in the standard nucleic acid sequence according to an alignment result; training a classifier to fit a relationship between a sequencing signal feature of the base and the label; providing a to-be-tested nucleic acid sequence, taking the base as a basic unit, and calculating the sequencing signal feature of the base in the to-be-tested nucleic acid sequence; and giving at least two quality values to the base in the to-be-tested nucleic acid sequence.

The invention discloses a digital human interaction strategy optimization method based on big data recognition, and relates to the technical field of intelligent interaction and digital human, and the method comprises the steps: collecting and storing multi-modal interaction data, such as texts, voices, expressions and time lengths, generated in a digital human interaction process of a user; performing emotional state labeling on the multi-modal interaction data based on a pre-trained emotion recognition model, and extracting an emotional feature vector containing emotional polarity, emotional intensity and emotional stability; constructing a user emotion change track map to recognize an emotion state conversion mode; evaluating and sorting candidate interaction strategies according to the conversion mode in combination with historical interaction data, and selecting an optimized interaction strategy; and the strategy evaluation index is updated according to user feedback, so that the adaptive optimization of the digital human interaction strategy is realized.

The invention provides a primer composition for detecting hereditary thrombophilia related gene mutation and application of the primer composition, and relates to the technical field of gene detection. The primer composition comprises a PCR (Polymerase Chain Reaction) amplification primer and an extension primer, wherein the PCR amplification primer is used for carrying out specific amplification on 24 single nucleotide polymorphic sites of 22 genes, and the extension primer is used for carrying out single base extension on the 24 single nucleotide polymorphic sites. According to the primer composition, by selecting twenty-four specific loci of twenty-two genes covering key systems such as coagulation, anticoagulation and the like, a detection system which is adaptive to genetic characteristics of specific people and takes pathopoiesis and risk factors into account is constructed, so that the limitation of race heterogeneity of conventional indexes is effectively overcome; and major mutation and a multi-gene minor accumulation effect can be captured at the same time, so that individual genetic susceptibility is comprehensively analyzed, and a systematic and accurate basis is provided for accurate screening and diagnosis and treatment of hereditary thrombophilia.

The application discloses a laser radar point cloud data pseudo-image coding method for three-dimensional target detection, solves the problems of complex coding process, high information loss and low coding efficiency in the prior art, realizes efficient coding of laser radar point cloud data, and has high precision and real-time performance in target detection, and the method comprises the following steps: acquiring laser radar point cloud data, calculating the grid space coordinates corresponding to each point of the laser radar point cloud data and the reflection intensity corresponding to the grid space coordinates according to the detection range and the grid space division resolution parameter of the laser radar point cloud data; coding the grid space coordinates corresponding to each point of the laser radar point cloud data to obtain position distribution information of a height perception space as a first pseudo-image; coding the reflection intensity to obtain maximum intensity distribution information as a second pseudo-image; and splicing the first pseudo-image and the second pseudo-image to obtain a coding feature pseudo-image.

The invention provides a cardiovascular blood flow limitation prediction model construction method based on hemodynamics, belongs to the technical field of cardiovascular model construction, and comprises the steps of obtaining medical image data of a to-be-tested person, synchronously collecting specific physiological parameters, reconstructing a three-dimensional geometric model and a multi-scale simulation model of a lesion blood vessel, and constructing a cardiovascular blood flow limitation prediction model. A reference model representing the blood vessel health state is generated; setting that the three-dimensional geometric model and the reference model share the same inlet boundary condition, outlet boundary condition and wall surface boundary condition; under the boundary condition, synchronous simulation calculation is conducted on the three-dimensional geometric model and the reference model through the same numerical method, and hemodynamic parameters are obtained; and respectively calculating an energy index, a functional index and a wall surface index based on the hemodynamic parameters, carrying out weighted integration on the three indexes to obtain a comprehensive score, and outputting a prediction result of blood flow limitation according to the comprehensive score.

This invention provides a deep learning-based method, system, and device for grading cervical immunohistochemical lesions, relating to the interdisciplinary field of deep learning and medicine. Through data acquisition and preprocessing, digital images of cervical immunohistochemical slides are obtained, acquiring the RGB matrix and corresponding image data. Deep learning is used to obtain corresponding data features, which are then fused using a Transformer model. A reference feature library is constructed, and error thresholds for different CIN levels are preset. The total error between the input sample and the corresponding reference feature in each sub-region is calculated to determine the lesion level of each sub-region. Evaluation is then performed to obtain the grading result for the current region to be graded. By introducing multiple modal information such as RGB image features and image spatial features, combined with a dynamic attention mechanism and a multi-scale error evaluation strategy, automated and refined grading of cervical lesions is achieved.

A composite wetland water cycle simulation method and system based on digital twinning belong to the field of water conservancy informatization and digital twinning technology. In view of the problem of insufficient accuracy caused by ignoring the dynamic change of vegetation and lacking adaptive calibration in traditional wetland water cycle simulation, the method comprises the following steps: constructing a three-dimensional digital base of the wetland and generating an unstructured grid; deploying multispectral sensing equipment to obtain vegetation spectral characteristics, and inversing leaf area index and average vegetation height, and the collection frequency is dynamically triggered by the digital twinning model; establishing a segmented dynamic mapping of the submerged state of vegetation and the resistance of water flow, dynamically calculating the Manning roughness coefficient and the transpiration loss term; substituting into the shallow water equation set to perform water cycle simulation; comparing the simulated water level with the measured water level, and triggering adaptive calibration when the deviation shows statistical consistency, and using the sequential data assimilation algorithm to update the key weight coefficients of the mapping model online. The system corresponds to realize the above steps. The application improves the accuracy and adaptability of composite wetland water level and flow velocity simulation.