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2results about How to "Stable productivity" patented technology

Recombinant genetically engineered bacterium of yarrowia lipolytica as well as construction method and application of recombinant genetically engineered bacterium

The invention relates to the technical field of microorganisms, in particular to recombinant genetically engineered bacteria of yarrowia lipolytica as well as a construction method and application of the recombinant genetically engineered bacteria. The succinic acid production performance of the recombinant genetically engineered bacterium of yarrowia lipolytica is remarkably improved, high succinic acid yield and production intensity are achieved, the recombinant genetically engineered bacterium can be applied to stable and efficient production of succinic acid, the performance of the recombinant genetically engineered bacterium is stable, and the recombinant genetically engineered bacterium can be suitable for large-scale industrial production of succinic acid.
Owner:CHINA PETROLEUM & CHEMICAL CORP +1

A Dynamic Quality Analysis and Optimization System Method Based on the Limit Computing Power of Development Model

PendingCN122086464Areduce establishmentlow costMathematical modelsSoftware metricsData setProcess measurement
This invention discloses a dynamic quality analysis and optimization system method based on the ultimate computing power of a development model, belonging to the field of software engineering process measurement and quality prediction optimization technology. It addresses the difficulties in quality decision-making caused by inconsistent and untraceable multi-source process data, static defect analysis, and the unstable and easily reversed linkage prediction of productivity and defect escape rate. The method unifies the reading of project process data and standardizes, completes, and weights the data according to a data dictionary to form a unified dataset, automatically generating and versioning the stored documents. It statistically analyzes defect severity and weighted defect quantity within a rolling time window, calculating the defect density sequence and Cpk. A two-layer linkage prediction model is constructed, with gating corrections for productivity and defect escape rate. Satisfaction regression and Monte Carlo output distribution results are used for quality decision-making.
Owner:NANGJING MUZE INFORMATION TECH CO LTD