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: An auxiliary power for man-powered vehicles includes an air propelling device and a control system. The air propelling device is mounted on a man-powered vehicle for discharging air toward the back of the man-powered vehicle. Due to the reaction force, the man-powered vehicle is provided with forward thrust. The control system connects to the air propelling device in a wired or wireless manner to control the amount of air discharged by the air propelling device.

Abstract: The present invention provides a spectral imaging device characterized in that N images are captured with ambient light, and spectra can be obtained from the captured N images for spectral analysis. In particular, a filter device is employed to divide a spectral range of the ambient light into N spectral bands, and each capture corresponds to one spectral band.

Abstract: The present invention provides a spectral imaging device characterized in that N images are captured with ambient light, and spectra can be obtained from the captured N images for spectral analysis. In particular, a filter device is employed to divide a spectral range of the ambient light into N spectral bands, and each capture corresponds to one spectral band.

Abstract: A control system for an unmanned aerial vehicle is disclosed. The control system includes a mobile device and an intermediary device. The mobile device is equipped with an APP allowing a user to input a control order. The intermediary device has a microprocessor for receiving the control order and generating an execution signal in accordance with the control order, and the execution signal is transmitted to the unmanned aerial vehicle. When the intermediary device does not receive any control order, the microprocessor automatically generates a hover signal for maintaining the unmanned aerial vehicle in a hovering flight state.

Abstract: A solar cell module for an unmanned aerial vehicle is disclosed. The solar cell module includes a carrier base and a solar cell unit. The carrier base is disposed on the unmanned aerial vehicle. The solar cell unit has a plurality of solar cells attached to the carrier body. A ratio of the power provided by the solar cell unit to the weight of the solar cell module is equal to or greater than 0.1 (W/g).

Abstract: A solar cell module for an unmanned aerial vehicle is disclosed. The solar cell module includes a carrier base and a solar cell unit. The carrier base is disposed on the unmanned aerial vehicle. The solar cell unit has a plurality of solar cells attached to the carrier body. A ratio of the power provided by the solar cell unit to the weight of the solar cell module is equal to or greater than 0.1 (W/g).

Abstract: A control system for an unmanned aerial vehicle is disclosed. The control system includes a mobile device and an intermediary device. The mobile device is equipped with an APP allowing a user to input a control order. The intermediary device has a microprocessor for receiving the control order and generating an execution signal in accordance with the control order, and the execution signal is transmitted to the unmanned aerial vehicle. When the intermediary device does not receive any control order, the microprocessor automatically generates a hover signal for maintaining the unmanned aerial vehicle in a hovering flight state.