Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: A fire extinguishing concentrate contains water, a first surfactant which is an anionic surfactant, a second surfactant which is an amphoteric surfactant, a third surfactant which is selected from an anionic surfactant and an amphoteric surfactant, the third surfactant being different from the first and second surfactants, and water, along with optional ingredients. The concentrate may be combined with water to provide a fire extinguishing composition that may be applied to a fire for a time and in an amount effective to extinguish the fire.

Abstract: A fire extinguishing concentrate contains water, a first surfactant which is an anionic surfactant, a second surfactant which is an amphoteric surfactant, a third surfactant which is selected from an anionic surfactant and an amphoteric surfactant, the third surfactant being different from the first and second surfactants, and water, along with optional ingredients. The concentrate may be combined with water to provide a fire extinguishing composition that may be applied to a fire for a time and in an amount effective to extinguish the fire.