Abstract: It is disclosed a method and system based on machine learning for reconstructing biological wastewater treatment processes; the method includes: acquiring influent and effluent basic quality, ecological risk and process information data on the biological wastewater treatment process, and performing data preprocessing; performing feature extraction and multi-unit characterization on the biological wastewater treatment process; constructing effluent basic quality prediction models and effluent ecological risk prediction models of different biological treatment multi-unit combination processes, and performing standard-reaching validation; simulating and reconstructing different biological wastewater treatment short-range unit combination processes, and performing effluent quality standard-reaching validation under different influent quality scenarios; and evaluating ecological risk of the reconstructed short-range biological treatment unit combination processes with the effluent quality up to standard, and deter

Abstract: The invention belongs to the technical field of medicines. In particular, the invention relates to use of (benzenesulfonamido) benzamide compounds for inhibiting liver fibrosis, or preventing and/or treating a liver injury, or improving a liver function, or preventing and/or treating a liver disease associated with liver fibrosis, for modulating (e.g. reducing) the content of collagen (e.g. type I collagen) in liver tissue, for modulating (e.g. inhibiting) the activity of COL1A1 promoter in a cell, and for modulating (e.g. inhibiting) expression level of a gene associated with liver fibrosis in a cell.

Abstract: The invention belongs to the technical field of medicines. In particular, the invention relates to use of (benzenesulfonamido) benzamide compounds for inhibiting liver fibrosis, or preventing and/or treating a liver injury, or improving a liver function, or preventing and/or treating a liver disease associated with liver fibrosis, for modulating (e.g. reducing) the content of collagen (e.g. type I collagen) in liver tissue, for modulating (e.g. inhibiting) the activity of COL1A1 promoter in a cell, and for modulating (e.g. inhibiting) expression level of a gene associated with liver fibrosis in a cell.

Abstract: Determination of information relating to a location of an electrical fault in an electrical energy distribution system based on phasor information is disclosed. A component can receive phasor information and electrical energy distribution system information. The system can determine a distance factor based on the phasor information. The distance factor can be employed to determine fault location information. A set of fault location information can be generated. Fault location information can be corrected for fault characteristics. Equivalent circuit models can be employed in determining the distance factor. Fault locations can be validated to facilitate generating subset of fault location information. Access to fault location information can be facilitated.

Abstract: The invention belongs to the technical field of medicines. In particular, the invention relates to use of (benzenesulfonamido) benzamide compounds for inhibiting liver fibrosis, or preventing and/or treating a liver injury, or improving a liver function, or preventing and/or treating a liver disease associated with liver fibrosis, for modulating (e.g. reducing) the content of collagen (e.g. type I collagen) in liver tissue, for modulating (e.g. inhibiting) the activity of COL1A1 promoter in a cell, and for modulating (e.g. inhibiting) expression level of a gene associated with liver fibrosis in a cell.

Abstract: Determination of information relating to a location of an electrical fault in an electrical energy distribution system based on phasor information is disclosed. A component can receive phasor information and electrical energy distribution system information. The system can determine a distance factor based on the phasor information. The distance factor can be employed to determine fault location information. A set of fault location information can be generated. Fault location information can be corrected for fault characteristics. Equivalent circuit models can be employed in determining the distance factor. Fault locations can be validated to facilitate generating subset of fault location information. Access to fault location information can be facilitated.