3results about How to "Predictable" patented technology

This invention discloses a method for optimizing process parameters in coaxial powder-feed laser cladding, belonging to the field of laser cladding technology. The method includes the following steps: First, using laser cladding process parameters as independent variables and cladding layer performance evaluation indicators as target response values, relevant data are collected using an orthogonal experimental design. Then, using range analysis and variance analysis, the range analysis table, variance analysis table, and mean response diagram of the target response values ​​for the process parameters to the cladding layer performance evaluation indicators are calculated. Significantly influential process parameters are selected as optimization variables, and regression prediction models are established for each target response value and the optimization variables. A multi-objective optimization model for laser cladding process parameters is constructed. Finally, a fast non-dominated genetic algorithm is used to solve the Pareto front solution set of the multi-objective optimization series to obtain the optimal combination of laser cladding process parameters. This invention features a simple calculation process and high versatility; the composite material cladding layer obtained using this method has a smooth, continuous, and highly flat surface.

The application provides a method for constructing a T7RNAP expression unit, which comprises the following steps: inserting a designed T7RNAP expression unit into a test plasmid to express T7RNAP in a host cell, then determining the T7RNAP enzyme activity E expressed by the plasmid, if E < E0, the threshold value of the T7RNAP enzyme activity in the host cell, then the T7RNAP expression unit is successfully constructed, if E ≥ E0, the DNA structure of the designed T7RNAP expression unit is adjusted, and the above steps are repeated until E < E0, then the T7RNAP expression unit is successfully constructed, and finally the plasmid with the T7RNAP enzyme activity lower than E0 is selected. The application also provides a method for adjusting the DNA structure of the designed T7RNAP expression unit in the above steps. The method for constructing the T7RNAP expression unit has the characteristics of predictability, rapidity, customization and the like, thereby solving the problems of the previous single-plasmid T7 expression system, such as incapability of construction, long construction period and easy mutation of the system, and providing a convenient method for the non-model strains to use the T7 expression system.

This invention relates to the field of medical data analysis technology, specifically to a method for constructing an early warning model for urosepsis. The method includes: collecting multimodal time-series clinical data of patients; performing time-series alignment and imputation of missing values ​​on the data; fusing features from different modalities and time points based on a dynamic weight allocation mechanism to generate a comprehensive feature representation of the patient; employing a hierarchical cascade classification strategy, first using a lightweight rapid screening model to preliminarily identify high-risk patients, then applying a refined assessment model to conduct a detailed risk assessment of high-risk patients; and finally generating early warning signals and clinical decision recommendations. This invention effectively integrates multimodal time-series data, focuses on key information through dynamic weights and attention mechanisms, and balances screening efficiency and assessment accuracy by combining a two-stage classification strategy. It solves the problems of low sensitivity, neglect of dynamic time-series changes, and difficulty in clinical deployment in existing technologies, enabling early and accurate risk warning.