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2results about How to "Stable aggregate structure" patented technology

A strain that improves the physical structure of red mud and its application

ActiveCN121182681Bimprove physical structureSolve technical problems with poor structureBacteriaMicroorganism based processesBiotechnologyEngineering
This invention relates to a bacterial strain that improves the physical structure of red mud and its application. The strain BRT1 is classified as Staphylococcus epidermidis. Staphylococcus epidermidis The accession number is GDMCC No. 66375, the accession date is May 22, 2025, and the depositary institution is Guangdong Microbial Culture Collection Center. This invention utilizes the BRT1 strain, which efficiently improves the physical structure of red mud, solving the technical problem of poor red mud structure. The BRT1 strain secretes extracellular polymeric substances (EPS) as a bio-cementitious agent, effectively promoting the aggregation of red mud particles and forming stable aggregate structures.
Owner:INNER MONGOLIA UNIVERSITY

A method for synergistic enhancement of coal gangue weathering into soil using microorganisms and plants

ActiveCN121920411BAchieve double acid etching and weatheringIncrease chemical weathering rateData processing applicationsMolecular entity identificationMicroorganismSoil science
This invention provides a method for the rapid weathering of coal gangue into soil through a microbial-plant synergistic enhancement. Applied to the fields of ecological restoration of coal gangue mountains and artificial intelligence, the method constructs a positive feedback loop of root exudates and microbial metabolites to achieve dual acid erosion weathering by microorganisms and plants, significantly increasing the chemical weathering rate of coal gangue. Combined with the precise control of the ANNA algorithm, it achieves rapid soilification of coal gangue. The ANNA algorithm avoids getting trapped in local optima from the source through reverse learning and dual population initialization. The adaptive bias operator and continuous penalty function coefficients achieve a smooth balance between global exploration and local exploitation capabilities, improving convergence speed and computational accuracy. The algorithm is adaptable to restoration scenarios with different coal gangue types and different climatic conditions, exhibiting excellent robustness.
Owner:GUIZHOU INST OF COAL SCI +1