4results about How to "Reliable reference" patented technology

The invention belongs to the technical field of biomedicine, and particularly relates to a renal clear cell carcinoma prognosis model construction method and system based on a metabolic gene set. The system comprises: a metabolic gene set data acquisition module for acquiring metabolic gene set data of a patient with renal clear cell carcinoma, the metabolic gene set data including CYP3A7, ST3GAL5, DBH, UGT2B7, GCNT4, LIPA, ITPKB, HS3ST1, GYG2, and CYP51A1; the survival time calculation module is used for calculating the survival time of the renal clear cell carcinoma patient based on the prediction model; the prediction model comprises a formula I for calculating the risk score of the patient and a formula II for calculating the survival probability of the patient at a certain time point; and the result output module is used for outputting a prognosis result of the patient based on the survival time of the renal clear cell carcinoma patient. The system can significantly improve the accuracy and reliability of prognosis of ccRCC patients, and has wide application prospects and commercial values.

This application discloses a method and apparatus for detecting battery moisture. The battery includes a casing, terminals extending through the casing, and a sealing element disposed between the terminals and the casing. The method includes: calculating the bulk water permeability of the sealing element, which is the amount of water that permeates through the sealing element into the casing; calculating the gap water permeability of the sealing element, which is the amount of water that permeates through the interface between the sealing element and the terminals and the casing into the casing; and determining the total amount of water that has penetrated into the battery based on the bulk water permeability and the gap water permeability. This application's solution comprehensively considers the water permeability of the sealing element itself (i.e., bulk water permeability) and the gap water permeability between components such as the terminals that contact the sealing element to obtain the total amount of water that has penetrated into the battery after manufacturing. This allows for a more accurate assessment of the moisture intrusion situation inside the lithium battery, providing a more reliable reference for battery design, manufacturing, and use.

The application relates to the technical field of lithology intelligent classification, in particular to a lithology intelligent classification system and method based on multi-modal data fusion, which comprises a data acquisition module, a feature extraction module, a cluster analysis module, a classification prediction module and a visualization module. Through preprocessing, sensitivity quantization and weighted feature space construction of the original drilling data of the tunnel, the improved K-means++ algorithm is combined to dynamically adjust the cluster number, generate the lithology category label, and display the distribution through the visualization interface. The application can effectively reduce noise interference, reasonably allocate feature weights, improve the lithology identification accuracy and robustness under complex geological conditions, and provide intuitive support for geological decision-making.

This application relates to the field of environmental monitoring technology, specifically providing a method, apparatus, storage medium, and electronic device for monitoring the construction environment. The method may include: during the construction of a tunnel boring machine (TBM) in a target area, collecting the original vibration signal generated by the TBM and the TBM's construction parameters; wherein the construction parameters include thrust and torque; inverting the pre-processed vibration signal from the original vibration signal to obtain a three-dimensional underground velocity model; obtaining the wave velocity change rate based on the underground three-dimensional velocity model, and obtaining index values ​​of rock mass anomalies based on the processed vibration signal; analyzing the construction parameters, the wave velocity change rate, and the index values ​​to obtain monitoring results for the target area; wherein the monitoring results include a risk level and response measures to address the risk level. The embodiments of this application can achieve dynamic monitoring of the construction environment and provide real-time risk warnings.