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: The invention relates to a system of capturing zoom-in images of an object.

Abstract: A bicycle frame is made of frame tubes interconnected together by metal connectors at opposite ends of the frame tubes. The frame tubes each consist of a carbon fiber tube and metal connecting members at opposite ends of the carbon fiber tube. The metal connecting members are threaded onto sockets on the connectors. The carbon fiber tubes and the metal connecting members are interengaged by annular grooves on the connecting members and interfitting annular flanges on the carbon fiber tubes. The connecting members may be welded to the connectors through end notches in the connecting members.