8results about How to "Easy to explain" patented technology

This application discloses a data-aware intelligent analysis method, system, storage medium, and computer device. The method includes: receiving a target problem and initializing state information, wherein the state information includes key sub-conclusions, a reasoning state logic diagram, and key data descriptions; a language model-based agent iteratively performs the following operations: obtaining input information for the current step; updating the state information of the current step based on the action and environmental feedback information of the previous step, and making decisions based on the state information of the current step to obtain the action and tools to be invoked for the current step; invoking the tools to execute the action of the current step, and obtaining environmental feedback information for the current step after the action is completed; checking whether the target problem has been analyzed; if not, proceeding to the next loop; if completed, generating analysis results. This method can improve the reasoning ability, response consistency, and interpretability of deep reasoning models.

The application discloses an indoor design picture performance method and a display device thereof and relates to the technical field of display equipment. The technical scheme is as follows: a rectangular storage box and a rectangular collecting box are arranged, a display unit is arranged between the rectangular storage box and the rectangular collecting box, a treading lifting mechanism is arranged below the rectangular storage box, a plurality of picture frames arranged linearly are stored in the rectangular storage box, and the treading lifting mechanism is used for driving the picture frames in the rectangular storage box to ascend. The application has the advantages that the device is designed ingeniously and is easy to operate. The picture frames can be adsorbed by the treading lifting mechanism, the adsorbed picture frames can be turned to the front side by the groove wheel mechanism, the collection frame for adsorbing the picture frames is turned over by the rotation of the second motor, the device is convenient for explanation and observation, the collection frame for adsorbing the picture frames is attached to the rectangular collecting box when the collection frame is turned over, the picture frames are collected, and the practicability of the device is improved.

The application provides a spatial noise annoyance modeling method based on binaural psychoacoustic parameter difference, and the method uses the binaural psychoacoustic parameter difference as a bridge, establishes a spatial noise annoyance model based on noise self annoyance by using multivariate linear regression, and realizes correction of noise self annoyance in the sound source direction, so that the annoyance of noise in different directions is more reasonably and accurately predicted, the use range of the noise annoyance model is widened, the physical mechanism of the spatial noise annoyance is explained, and the application value of the noise annoyance model is enhanced.

The application realizes a commodity search method with query-related multi-aspect explainability by means of a method in the field of artificial intelligence. The search information of an input commodity is searched and the query commodity result is fed back by using a multi-path query perception graph convolution network for explainable commodity search. The multi-path query perception graph convolution network for explainable commodity search comprises two components: a query perception graph convolution sorter and a query perception multi-path reasoner. The query perception graph convolution sorter models the representation of a user and a commodity according to different knowledge relationship domains in a knowledge graph by using a graph convolution network. The query perception multi-path reasoner is responsible for exploring a query-specific multi-path from the knowledge graph to meet the search intention of the user. The two components share basic parameters and are collaboratively trained to constitute a complete network. The method can significantly improve the retrieval performance and generate better explanations for the search result.

This invention discloses a method for constructing a sinusitis regulation analysis model based on nasal polyp cell inhibition data, belonging to the field of CRSwNP disease analysis technology. The method includes the following steps: collecting Lund-Kennedy scores and corresponding nasal polyp cell inhibition data from CRSwNP patients to obtain raw sample data; screening the raw sample data to remove unqualified raw sample data from CRSwNP patients to obtain standard sample data; performing index preprocessing based on the standard sample data and obtaining the optimal lag order to obtain reference sample data; constructing an LK analysis prediction model based on the reference sample data and analyzing and predicting the Lund-Kennedy scores of CRSwNP patients. This invention addresses the problem that existing CRSwNP disease analysis technologies cannot provide clinicians with objective and reliable analytical and predictive tools when analyzing and predicting the Lund-Kennedy scores of CRSwNP patients, thus failing to help clinicians reliably predict the disease progression of CRSwNP patients during treatment.

This invention relates to the field of spatial transcriptomics technology and provides a few-sample spatial transcriptomics cell annotation system and method based on graph cue learning, comprising: a preprocessing module; a graph construction module, which constructs spatial adjacency relationships based on cell spatial coordinates and constrains or weights graph connectivity relationships by combining inter-cell transcriptomics expression similarity; a graph representation learning module, which learns discriminative cell embedding representations from the cell graph structure under unsupervised or weakly supervised conditions; a cue fine-tuning module, which injects the category information contained in a small number of labeled samples into a pre-trained graph representation model in the downstream cell type annotation task; and a cell type prediction module, which completes cell type annotation based on a small number of labeled samples. This invention can fully integrate gene expression information and multi-source spatial relationships under conditions of very few labeled samples to construct highly discriminative cell representations, achieving high-precision automatic annotation of large-scale spatial transcriptomics data.

The application discloses a CO2-ion water flooding molecular dynamics simulation method and belongs to the technical field of CO2 oil displacement. The method comprises the following steps: establishing oil molecule models, water molecule models, CO2 molecule models, CaCl2 molecule models and graphene plate models corresponding to the characteristics of a target oil reservoir; optimizing the geometric structures of the models; assembling the optimized molecular models into a CO2-CaCl2-H2O ternary displacement system and performing molecular dynamics simulation; selecting an NVT ensemble during simulation, applying a periodic boundary condition, adopting a COMPASS II force field and configuring atomic potential parameters, running energy minimization and temperature initialization, and then performing displacement process simulation; quantitatively evaluating the oil displacement effect of the displacement medium of the CO2-CaCl2-H2O ternary system based on a trajectory file output by simulation; and the application can better explain the behavior of molecules under the synergistic action of multiple displacement media, reflect the oil displacement microscopic mechanism under the synergistic action of multiple displacement media, and has important significance for optimizing the development effect of tight oil reservoirs and improving the recovery rate.