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 semiconductor device such as a fin field effect transistor and its method of manufacture are provided. In some embodiments gate spacers are formed over a semiconductor fin, and a first gate stack is formed over the fin. A first sacrificial material with a large selectivity to the gate spacers is formed over the gate stack, and a second sacrificial material with a large selectivity is formed over a source/drain contact plug. Etching processes are utilized to form openings through the first sacrificial material and through the second sacrificial material, and the openings are filled with a conductive material.

Abstract: An integrated circuit device includes a device layer having devices spaced in accordance with a predetermined device pitch, a first metal interconnection layer disposed above the device layer and coupled to the device layer, and a second metal interconnection layer disposed above the first metal interconnection layer and coupled to the first metal interconnection layer through a first via layer. The second metal interconnection layer has metal lines spaced in accordance with a predetermined metal line pitch, and a ratio of the predetermined metal line pitch to predetermined device pitch is less than 1.

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 table is provided having first and second side bars positioned generally parallel to and spaced-apart from each other. A first table end segment is secured to the first outer ends of the first and second side bars, and a second table end segment is secured to the second outer ends of the first and second side bars. First and second crossing bars are connected to and extend between the first and second side bars. A removable table segment is positioned between the first and second table end segments, the removable table segment having a first leaf and a second leaf, with the first leaf pivotally coupled to the first and second crossing bars. A storage space is defined by the first and second side bars and the first and second crossing bars. The first and second leaves may be folded against each other and stored in the storage space to reduce the overall size of the table.

Abstract: A table has first and second extendable bar structures positioned parallel to each other. A first table end segment is secured to the first outer ends of the extendable bar structures, and a second table end segment is secured to the second outer ends of the extendable bar structures. First and second crossing bars are connected to and extend between the first and second extendable bar structures. A rod is connected between the first and second crossing bars, and a plurality of removable table segments are positioned between the first and second table end segments. Each removable table segment is rotatably coupled to the rod to facilitate storage of each removable table segment under the first and second table end segments.